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Open positions | Jobs

<div><br></div><div>We are looking for a Principal AI/ML Scientist &amp; Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic "Builder-Scientist" - a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical strategy for AI/ML-based solutions designed to extract value from both structured and unstructured data, bridging the gap between advanced research and production-grade systems. Your impact will be measured through technical leadership, leverage, and the real-world business outcomes you enable.</div>
<div>&nbsp;</div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead and mentor a team of Applied Scientists and AI/ML Engineers, fostering a culture of technical excellence and scientific rigor</li>
<li>Lead the technical strategy for AI/ML-based solutions focused on extracting actionable value and insights from both structured CRM data and unstructured content</li>
<li>Build the intelligence within our AI-native CRM, including the design of autonomous agentic workflows and real-time reasoning engines that execute business actions safely at scale</li>
<li>Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment</li>
<li>Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance</li>
<li>Act as a technical authority and multiplier across the AI/ML and data ecosystem, shaping the AI engineering roadmap and setting the bar for how we leverage the modern AI stack</li>
<li>Lead as a high-impact individual contributor on our most critical systems, balancing a deep love for building with the ability to delegate effectively and grow the team’s technical capabilities</li>
</ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of applied science or engineering experience with a broad, practical understanding of the full ML and AI lifecycle in high-scale production environments</li>
<li>Proven ability to lead and scale a technical team, with experience mentoring senior talent and raising the technical bar of an organization</li>
<li>Deep expertise in modern AI engineering concepts and tech stacks, with hands-on experience in agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases</li>
<li>You are a deep scientist by training but a builder by choice; you prioritize shipping working, iterative solutions that solve real customer problems over chasing theoretical perfection</li>
<li>Proven track record of delivering customer and business value through simple and complex AI/ML-based solutions at scale</li>
<li>Broad exposure to ML, Deep Learning, and AI; you understand the practical trade-offs between different models and agentic frameworks</li>
<li>Excellent product sense and business awareness, with the ability to translate technical and scientific choices into tangible improvements for our users</li>
<li>Ability to lead through influence and technical authority, partnering with platform teams to influence strategy and raise the collective technical bar</li>
<li>Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka)</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div><strong>Diversity &amp; Inclusion: </strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.<br>&nbsp;<br><strong>Eligibility: </strong>Please note that for this position, we are only able to consider candidates who already possess the legal right to work in <span data-sfc-root="c" data-wiz-uids="rZ8Sjb_e" data-sfc-cb="">Czech Republic</span>&nbsp;without the need for visa sponsorship or relocation assistance.<br>&nbsp;<br><strong>Background Checks:</strong> Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our <a href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a>.&nbsp;</div>
<div>&nbsp;</div>
<div>#LI-Hybrid</div>
<div>#LI-KA2</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

Principal AI/ML Scientist & Engineer

<div><br></div><div>We are looking for a Principal AI/ML Scientist &amp; Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic "Builder-Scientist" - a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical strategy for AI/ML-based solutions designed to extract value from both structured and unstructured data, bridging the gap between advanced research and production-grade systems. Your impact will be measured through technical leadership, leverage, and the real-world business outcomes you enable.</div>
<div>&nbsp;</div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead and mentor a team of Applied Scientists and AI/ML Engineers, fostering a culture of technical excellence and scientific rigor</li>
<li>Lead the technical strategy for AI/ML-based solutions focused on extracting actionable value and insights from both structured CRM data and unstructured content</li>
<li>Build the intelligence within our AI-native CRM, including the design of autonomous agentic workflows and real-time reasoning engines that execute business actions safely at scale</li>
<li>Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment</li>
<li>Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance</li>
<li>Act as a technical authority and multiplier across the AI/ML and data ecosystem, shaping the AI engineering roadmap and setting the bar for how we leverage the modern AI stack</li>
<li>Lead as a high-impact individual contributor on our most critical systems, balancing a deep love for building with the ability to delegate effectively and grow the team’s technical capabilities</li>
</ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of applied science or engineering experience with a broad, practical understanding of the full ML and AI lifecycle in high-scale production environments</li>
<li>Proven ability to lead and scale a technical team, with experience mentoring senior talent and raising the technical bar of an organization</li>
<li>Deep expertise in modern AI engineering concepts and tech stacks, with hands-on experience in agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases</li>
<li>You are a deep scientist by training but a builder by choice; you prioritize shipping working, iterative solutions that solve real customer problems over chasing theoretical perfection</li>
<li>Proven track record of delivering customer and business value through simple and complex AI/ML-based solutions at scale</li>
<li>Broad exposure to ML, Deep Learning, and AI; you understand the practical trade-offs between different models and agentic frameworks</li>
<li>Excellent product sense and business awareness, with the ability to translate technical and scientific choices into tangible improvements for our users</li>
<li>Ability to lead through influence and technical authority, partnering with platform teams to influence strategy and raise the collective technical bar</li>
<li>Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka)</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div>&nbsp;</div>
<div><strong>Diversity &amp; Inclusion: </strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.<br>&nbsp;<br><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in Portugal without the need for visa sponsorship or relocation assistance.<br>&nbsp;<br><strong>Background Checks:</strong> Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our <a href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a>.&nbsp;<br><br>#LI-Hybrid</div>
<div>#LI-KA2</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

<div><br></div><div>We are looking for a Principal AI/ML Scientist &amp; Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic "Builder-Scientist" - a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical strategy for AI/ML-based solutions designed to extract value from both structured and unstructured data, bridging the gap between advanced research and production-grade systems. Your impact will be measured through technical leadership, leverage, and the real-world business outcomes you enable.</div>
<div>&nbsp;</div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead and mentor a team of Applied Scientists and AI/ML Engineers, fostering a culture of technical excellence and scientific rigor</li>
<li>Lead the technical strategy for AI/ML-based solutions focused on extracting actionable value and insights from both structured CRM data and unstructured content</li>
<li>Build the intelligence within our AI-native CRM, including the design of autonomous agentic workflows and real-time reasoning engines that execute business actions safely at scale</li>
<li>Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment</li>
<li>Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance</li>
<li>Act as a technical authority and multiplier across the AI/ML and data ecosystem, shaping the AI engineering roadmap and setting the bar for how we leverage the modern AI stack</li>
<li>Lead as a high-impact individual contributor on our most critical systems, balancing a deep love for building with the ability to delegate effectively and grow the team’s technical capabilities</li>
</ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of applied science or engineering experience with a broad, practical understanding of the full ML and AI lifecycle in high-scale production environments</li>
<li>Proven ability to lead and scale a technical team, with experience mentoring senior talent and raising the technical bar of an organization</li>
<li>Deep expertise in modern AI engineering concepts and tech stacks, with hands-on experience in agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases</li>
<li>You are a deep scientist by training but a builder by choice; you prioritize shipping working, iterative solutions that solve real customer problems over chasing theoretical perfection</li>
<li>Proven track record of delivering customer and business value through simple and complex AI/ML-based solutions at scale</li>
<li>Broad exposure to ML, Deep Learning, and AI; you understand the practical trade-offs between different models and agentic frameworks</li>
<li>Excellent product sense and business awareness, with the ability to translate technical and scientific choices into tangible improvements for our users</li>
<li>Ability to lead through influence and technical authority, partnering with platform teams to influence strategy and raise the collective technical bar</li>
<li>Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka)</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div>&nbsp;</div>
<div><strong>Diversity &amp; Inclusion:&nbsp;</strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.<br>&nbsp;<br><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in Germany without the need for visa sponsorship or relocation assistance.<br>&nbsp;<br><strong>Background Checks:</strong>&nbsp;Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our&nbsp;<a href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a>.&nbsp;</div>
<div>&nbsp;</div>
<div>#LI-Hybrid</div>
<div>#LI-KA2</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

<div><br></div><div>We are looking for a Principal AI/ML Scientist &amp; Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic "Builder-Scientist" - a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical strategy for AI/ML-based solutions designed to extract value from both structured and unstructured data, bridging the gap between advanced research and production-grade systems. Your impact will be measured through technical leadership, leverage, and the real-world business outcomes you enable.</div>
<div>&nbsp;</div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead and mentor a team of Applied Scientists and AI/ML Engineers, fostering a culture of technical excellence and scientific rigor</li>
<li>Lead the technical strategy for AI/ML-based solutions focused on extracting actionable value and insights from both structured CRM data and unstructured content</li>
<li>Build the intelligence within our AI-native CRM, including the design of autonomous agentic workflows and real-time reasoning engines that execute business actions safely at scale</li>
<li>Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment</li>
<li>Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance</li>
<li>Act as a technical authority and multiplier across the AI/ML and data ecosystem, shaping the AI engineering roadmap and setting the bar for how we leverage the modern AI stack</li>
<li>Lead as a high-impact individual contributor on our most critical systems, balancing a deep love for building with the ability to delegate effectively and grow the team’s technical capabilities</li>
</ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of applied science or engineering experience with a broad, practical understanding of the full ML and AI lifecycle in high-scale production environments</li>
<li>Proven ability to lead and scale a technical team, with experience mentoring senior talent and raising the technical bar of an organization</li>
<li>Deep expertise in modern AI engineering concepts and tech stacks, with hands-on experience in agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases</li>
<li>You are a deep scientist by training but a builder by choice; you prioritize shipping working, iterative solutions that solve real customer problems over chasing theoretical perfection</li>
<li>Proven track record of delivering customer and business value through simple and complex AI/ML-based solutions at scale</li>
<li>Broad exposure to ML, Deep Learning, and AI; you understand the practical trade-offs between different models and agentic frameworks</li>
<li>Excellent product sense and business awareness, with the ability to translate technical and scientific choices into tangible improvements for our users</li>
<li>Ability to lead through influence and technical authority, partnering with platform teams to influence strategy and raise the collective technical bar</li>
<li>Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka)</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div>&nbsp;</div>
<div><strong>Diversity &amp; Inclusion:&nbsp;</strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.<br>&nbsp;<br><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in UK without the need for visa sponsorship or relocation assistance.<br>&nbsp;<br><strong>Background Checks:</strong>&nbsp;Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our&nbsp;<a href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a>.&nbsp;<br><br></div>
<div>#LI-Hybrid</div>
<div>#LI-KA2</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

<div>We are looking for a Principal AI/ML Scientist &amp; Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic "Builder-Scientist" - a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical strategy for AI/ML-based solutions designed to extract value from both structured and unstructured data, bridging the gap between advanced research and production-grade systems. Your impact will be measured through technical leadership, leverage, and the real-world business outcomes you enable.</div>
<div>&nbsp;</div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead and mentor a team of Applied Scientists and AI/ML Engineers, fostering a culture of technical excellence and scientific rigor</li>
<li>Lead the technical strategy for AI/ML-based solutions focused on extracting actionable value and insights from both structured CRM data and unstructured content</li>
<li>Build the intelligence within our AI-native CRM, including the design of autonomous agentic workflows and real-time reasoning engines that execute business actions safely at scale</li>
<li>Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment</li>
<li>Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance</li>
<li>Act as a technical authority and multiplier across the AI/ML and data ecosystem, shaping the AI engineering roadmap and setting the bar for how we leverage the modern AI stack</li>
<li>Lead as a high-impact individual contributor on our most critical systems, balancing a deep love for building with the ability to delegate effectively and grow the team’s technical capabilities</li>
</ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of applied science or engineering experience with a broad, practical understanding of the full ML and AI lifecycle in high-scale production environments</li>
<li>Proven ability to lead and scale a technical team, with experience mentoring senior talent and raising the technical bar of an organization</li>
<li>Deep expertise in modern AI engineering concepts and tech stacks, with hands-on experience in agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases</li>
<li>You are a deep scientist by training but a builder by choice; you prioritize shipping working, iterative solutions that solve real customer problems over chasing theoretical perfection</li>
<li>Proven track record of delivering customer and business value through simple and complex AI/ML-based solutions at scale</li>
<li>Broad exposure to ML, Deep Learning, and AI; you understand the practical trade-offs between different models and agentic frameworks</li>
<li>Excellent product sense and business awareness, with the ability to translate technical and scientific choices into tangible improvements for our users</li>
<li>Ability to lead through influence and technical authority, partnering with platform teams to influence strategy and raise the collective technical bar</li>
<li>Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka)</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div>&nbsp;</div>
<div><strong>Diversity &amp; Inclusion:&nbsp;</strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.<br>&nbsp;<br><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in UK without the need for visa sponsorship or relocation assistance.<br>&nbsp;<br><strong>Background Checks:</strong>&nbsp;Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our&nbsp;<a href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a>.&nbsp;<br><br></div>
<div>#LI-Hybrid</div>
<div>#LI-KA2</div></ul></span></div><br><div><span style="font-size: 16px;">If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</span></div>

<div>We are looking for a Principal AI/ML Scientist &amp; Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic "Builder-Scientist" - a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical strategy for AI/ML-based solutions designed to extract value from both structured and unstructured data, bridging the gap between advanced research and production-grade systems. Your impact will be measured through technical leadership, leverage, and the real-world business outcomes you enable.</div>
<div>&nbsp;</div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead and mentor a team of Applied Scientists and AI/ML Engineers, fostering a culture of technical excellence and scientific rigor</li>
<li>Lead the technical strategy for AI/ML-based solutions focused on extracting actionable value and insights from both structured CRM data and unstructured content</li>
<li>Build the intelligence within our AI-native CRM, including the design of autonomous agentic workflows and real-time reasoning engines that execute business actions safely at scale</li>
<li>Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment</li>
<li>Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance</li>
<li>Act as a technical authority and multiplier across the AI/ML and data ecosystem, shaping the AI engineering roadmap and setting the bar for how we leverage the modern AI stack</li>
<li>Lead as a high-impact individual contributor on our most critical systems, balancing a deep love for building with the ability to delegate effectively and grow the team’s technical capabilities</li>
</ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of applied science or engineering experience with a broad, practical understanding of the full ML and AI lifecycle in high-scale production environments</li>
<li>Proven ability to lead and scale a technical team, with experience mentoring senior talent and raising the technical bar of an organization</li>
<li>Deep expertise in modern AI engineering concepts and tech stacks, with hands-on experience in agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases</li>
<li>You are a deep scientist by training but a builder by choice; you prioritize shipping working, iterative solutions that solve real customer problems over chasing theoretical perfection</li>
<li>Proven track record of delivering customer and business value through simple and complex AI/ML-based solutions at scale</li>
<li>Broad exposure to ML, Deep Learning, and AI; you understand the practical trade-offs between different models and agentic frameworks</li>
<li>Excellent product sense and business awareness, with the ability to translate technical and scientific choices into tangible improvements for our users</li>
<li>Ability to lead through influence and technical authority, partnering with platform teams to influence strategy and raise the collective technical bar</li>
<li>Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka)</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div>&nbsp;</div>
<div><strong>Diversity &amp; Inclusion:</strong> Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.<br>&nbsp;<br><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in Estonia without the need for visa sponsorship or relocation assistance.<br><strong>&nbsp;</strong><br><strong>Background Checks: </strong>Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our <a href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a>.&nbsp;<br><br></div>
<div>#LI-Hybrid</div>
<div>#LI-KA2</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile, and please add why we should pay extra attention to your application.</div>
<div>&nbsp;</div>
<div>&nbsp;</div>

<div><br></div><div>As a Principal Decision Scientist - Marketing, you will lead the development of an analytics function that transforms complex, cross-channel data into strategic insights and measurable business impact. You’ll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision-making across the organization. Operating at the intersection of data science, marketing, and business strategy, you will translate large-scale datasets into actionable recommendations that optimize performance, improve customer outcomes, and support commercial growth. Partnering closely with Marketing, Product, Finance, and Data teams, you will establish scalable measurement frameworks, promote analytical best practices, and influence key business decisions. If you enjoy solving complex problems, working across teams, and turning data into practical business outcomes, we’d love to hear from you!<br><br></div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead the design and execution of experimentation frameworks, including geo-based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale</li>
<li>Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership</li>
<li>Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product</li>
<li>Architect and govern the marketing data layer, ensuring best practice across dbt modelling, data quality, and documentation</li>
<li>Define and lead cross-functional analytics initiatives that span teams and business units, bringing structure and analytical rigour to ambiguous, high-stakes commercial problems</li>
<li>Translate highly complex findings into compelling strategic narratives and executive-ready recommendations, enabling data-driven decisions at the leadership level</li>
<li>Partner with Finance (FP&amp;A) to ensure marketing efficiency metrics, budget frameworks, and unit economics (CAC, LTV, Payback Period) are consistent with company-wide financial reporting and planning</li>
<li>Collaborate with Data Engineering and Marketing Technology to define and shape the long-term marketing data stack roadmap, ensuring tracking integrity, instrumentation standards, and tooling choices reflect best practice</li>
<li>Lead the team’s thinking on how AI tools and techniques can augment the analytics workflow, and act as a practical guide for marketing teams on where and how AI can meaningfully improve their ways of working</li>
</ul></span><p><strong> Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of experience in a similar role</li>
<li>Deep expertise across Acquisition (Paid Search, Paid Social, SEO) and Retention (CRM, Lifecycle, Churn), with the ability to connect channel-level performance to business-wide outcomes</li>
<li>Proven, hands-on experience building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks (geo-based, holdout, synthetic control) in a real business context</li>
<li>Proficiency in applied statistical modelling, such as LTV modeling, predictive scoring and causal inference techniques</li>
<li>Advanced Python or R for statistical analysis, modelling, and automation, with production-quality code standards</li>
<li>Practical experience applying AI tools to accelerate, enhance and automate analytical workflows</li>
<li>Demonstrated experience architecting scalable data models using SQL and dbt within a modern data stack, including setting standards and reviewing others' work</li>
<li>Exceptional ability to distil complex technical findings into clear strategic narratives for non-technical stakeholders and senior leadership</li>
<li>Experience working within a high-growth SaaS or digital business with an understanding of unit economics (CAC, LTV, Payback)</li>
<li>Demonstrated experience mentoring and developing analysts including coaching on technical skills, analytical thinking and stakeholder engagement</li>
<li>Exposure to product analytics or growth functions, with an ability to connect marketing and product data across the funnel</li>
<li>Prior experience influencing tooling, vendor or data infrastructure decisions at an organisational level</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul><div>

<li><strong>People-first culture </strong>- Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential</strong> – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you </strong>– Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even paternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us </strong>– Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<p><strong>Diversity &amp; Inclusion: </strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</p>
<p><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in UK without the need for visa sponsorship or relocation assistance.</p>
<p><strong>Background Checks: </strong>Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our Candidates Privacy Notice.&nbsp;</p>
<p>#LI-Hybrid<br>#LI-KA2</p>
</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

Principal Decision Scientist - Marketing

<div>As a Principal Decision Scientist - Marketing, you will lead the development of an analytics function that transforms complex, cross-channel data into strategic insights and measurable business impact. You’ll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision-making across the organization. Operating at the intersection of data science, marketing, and business strategy, you will translate large-scale datasets into actionable recommendations that optimize performance, improve customer outcomes, and support commercial growth. Partnering closely with Marketing, Product, Finance, and Data teams, you will establish scalable measurement frameworks, promote analytical best practices, and influence key business decisions. If you enjoy solving complex problems, working across teams, and turning data into practical business outcomes, we’d love to hear from you!<br><br></div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead the design and execution of experimentation frameworks, including geo-based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale</li>
<li>Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership</li>
<li>Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product</li>
<li>Architect and govern the marketing data layer, ensuring best practice across dbt modelling, data quality, and documentation</li>
<li>Define and lead cross-functional analytics initiatives that span teams and business units, bringing structure and analytical rigour to ambiguous, high-stakes commercial problems</li>
<li>Translate highly complex findings into compelling strategic narratives and executive-ready recommendations, enabling data-driven decisions at the leadership level</li>
<li>Partner with Finance (FP&amp;A) to ensure marketing efficiency metrics, budget frameworks, and unit economics (CAC, LTV, Payback Period) are consistent with company-wide financial reporting and planning</li>
<li>Collaborate with Data Engineering and Marketing Technology to define and shape the long-term marketing data stack roadmap, ensuring tracking integrity, instrumentation standards, and tooling choices reflect best practice</li>
<li>Lead the team’s thinking on how AI tools and techniques can augment the analytics workflow, and act as a practical guide for marketing teams on where and how AI can meaningfully improve their ways of working</li>
</ul></span><p><strong> Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of experience in a similar role</li>
<li>Deep expertise across Acquisition (Paid Search, Paid Social, SEO) and Retention (CRM, Lifecycle, Churn), with the ability to connect channel-level performance to business-wide outcomes</li>
<li>Proven, hands-on experience building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks (geo-based, holdout, synthetic control) in a real business context</li>
<li>Proficiency in applied statistical modelling, such as LTV modeling, predictive scoring and causal inference techniques</li>
<li>Advanced Python or R for statistical analysis, modelling, and automation, with production-quality code standards</li>
<li>Practical experience applying AI tools to accelerate, enhance and automate analytical workflows</li>
<li>Demonstrated experience architecting scalable data models using SQL and dbt within a modern data stack, including setting standards and reviewing others' work</li>
<li>Exceptional ability to distil complex technical findings into clear strategic narratives for non-technical stakeholders and senior leadership</li>
<li>Experience working within a high-growth SaaS or digital business with an understanding of unit economics (CAC, LTV, Payback)</li>
<li>Demonstrated experience mentoring and developing analysts including coaching on technical skills, analytical thinking and stakeholder engagement</li>
<li>Exposure to product analytics or growth functions, with an ability to connect marketing and product data across the funnel</li>
<li>Prior experience influencing tooling, vendor or data infrastructure decisions at an organisational level</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul><div>

<li><strong>People-first culture </strong>- Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential</strong> – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you </strong>– Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even paternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us </strong>– Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<p><strong>Diversity &amp; Inclusion: </strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</p>
<p><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in Estonia without the need for visa sponsorship or relocation assistance.</p>
<p><strong>Background Checks: </strong>Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our Candidates Privacy Notice.&nbsp;</p>
<p>#LI-Hybrid<br>#LI-KA2</p>
</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile, and please add why we should pay extra attention to your application.</div>
<div>&nbsp;</div>
<div>&nbsp;</div>

<div>As a Principal Decision Scientist - Marketing, you will lead the development of an analytics function that transforms complex, cross-channel data into strategic insights and measurable business impact. You’ll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision-making across the organization. Operating at the intersection of data science, marketing, and business strategy, you will translate large-scale datasets into actionable recommendations that optimize performance, improve customer outcomes, and support commercial growth. Partnering closely with Marketing, Product, Finance, and Data teams, you will establish scalable measurement frameworks, promote analytical best practices, and influence key business decisions. If you enjoy solving complex problems, working across teams, and turning data into practical business outcomes, we’d love to hear from you!<br><br></div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead the design and execution of experimentation frameworks, including geo-based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale</li>
<li>Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership</li>
<li>Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product</li>
<li>Architect and govern the marketing data layer, ensuring best practice across dbt modelling, data quality, and documentation</li>
<li>Define and lead cross-functional analytics initiatives that span teams and business units, bringing structure and analytical rigour to ambiguous, high-stakes commercial problems</li>
<li>Translate highly complex findings into compelling strategic narratives and executive-ready recommendations, enabling data-driven decisions at the leadership level</li>
<li>Partner with Finance (FP&amp;A) to ensure marketing efficiency metrics, budget frameworks, and unit economics (CAC, LTV, Payback Period) are consistent with company-wide financial reporting and planning</li>
<li>Collaborate with Data Engineering and Marketing Technology to define and shape the long-term marketing data stack roadmap, ensuring tracking integrity, instrumentation standards, and tooling choices reflect best practice</li>
<li>Lead the team’s thinking on how AI tools and techniques can augment the analytics workflow, and act as a practical guide for marketing teams on where and how AI can meaningfully improve their ways of working</li>
</ul></span><p><strong> Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of experience in a similar role</li>
<li>Deep expertise across Acquisition (Paid Search, Paid Social, SEO) and Retention (CRM, Lifecycle, Churn), with the ability to connect channel-level performance to business-wide outcomes</li>
<li>Proven, hands-on experience building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks (geo-based, holdout, synthetic control) in a real business context</li>
<li>Proficiency in applied statistical modelling, such as LTV modeling, predictive scoring and causal inference techniques</li>
<li>Advanced Python or R for statistical analysis, modelling, and automation, with production-quality code standards</li>
<li>Practical experience applying AI tools to accelerate, enhance and automate analytical workflows</li>
<li>Demonstrated experience architecting scalable data models using SQL and dbt within a modern data stack, including setting standards and reviewing others' work</li>
<li>Exceptional ability to distil complex technical findings into clear strategic narratives for non-technical stakeholders and senior leadership</li>
<li>Experience working within a high-growth SaaS or digital business with an understanding of unit economics (CAC, LTV, Payback)</li>
<li>Demonstrated experience mentoring and developing analysts including coaching on technical skills, analytical thinking and stakeholder engagement</li>
<li>Exposure to product analytics or growth functions, with an ability to connect marketing and product data across the funnel</li>
<li>Prior experience influencing tooling, vendor or data infrastructure decisions at an organisational level</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul><div>

<li><strong>People-first culture </strong>- Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential</strong> – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you </strong>– Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even paternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us </strong>– Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<p><strong>Diversity &amp; Inclusion: </strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</p>
<p><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in Ireland without the need for visa sponsorship or relocation assistance.</p>
<p><strong>Background Checks: </strong>Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our Candidates Privacy Notice.&nbsp;</p>
<p>#LI-Hybrid<br>#LI-KA2</p>
</div></ul></span></div><br><div><span style="font-size: 16px;">If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</span></div>

<div><br></div><div>As a Principal Decision Scientist - Marketing, you will lead the development of an analytics function that transforms complex, cross-channel data into strategic insights and measurable business impact. You’ll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision-making across the organization. Operating at the intersection of data science, marketing, and business strategy, you will translate large-scale datasets into actionable recommendations that optimize performance, improve customer outcomes, and support commercial growth. Partnering closely with Marketing, Product, Finance, and Data teams, you will establish scalable measurement frameworks, promote analytical best practices, and influence key business decisions. If you enjoy solving complex problems, working across teams, and turning data into practical business outcomes, we’d love to hear from you!<br><br></div><div><p><strong>Your new adventure: </strong></p><span style="font-weight: 400;"><ul>
<li>Lead the design and execution of experimentation frameworks, including geo-based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale</li>
<li>Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership</li>
<li>Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product</li>
<li>Architect and govern the marketing data layer, ensuring best practice across dbt modelling, data quality, and documentation</li>
<li>Define and lead cross-functional analytics initiatives that span teams and business units, bringing structure and analytical rigour to ambiguous, high-stakes commercial problems</li>
<li>Translate highly complex findings into compelling strategic narratives and executive-ready recommendations, enabling data-driven decisions at the leadership level</li>
<li>Partner with Finance (FP&amp;A) to ensure marketing efficiency metrics, budget frameworks, and unit economics (CAC, LTV, Payback Period) are consistent with company-wide financial reporting and planning</li>
<li>Collaborate with Data Engineering and Marketing Technology to define and shape the long-term marketing data stack roadmap, ensuring tracking integrity, instrumentation standards, and tooling choices reflect best practice</li>
<li>Lead the team’s thinking on how AI tools and techniques can augment the analytics workflow, and act as a practical guide for marketing teams on where and how AI can meaningfully improve their ways of working</li>
</ul></span><p><strong> Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>8+ years of experience in a similar role</li>
<li>Deep expertise across Acquisition (Paid Search, Paid Social, SEO) and Retention (CRM, Lifecycle, Churn), with the ability to connect channel-level performance to business-wide outcomes</li>
<li>Proven, hands-on experience building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks (geo-based, holdout, synthetic control) in a real business context</li>
<li>Proficiency in applied statistical modelling, such as LTV modeling, predictive scoring and causal inference techniques</li>
<li>Advanced Python or R for statistical analysis, modelling, and automation, with production-quality code standards</li>
<li>Practical experience applying AI tools to accelerate, enhance and automate analytical workflows</li>
<li>Demonstrated experience architecting scalable data models using SQL and dbt within a modern data stack, including setting standards and reviewing others' work</li>
<li>Exceptional ability to distil complex technical findings into clear strategic narratives for non-technical stakeholders and senior leadership</li>
<li>Experience working within a high-growth SaaS or digital business with an understanding of unit economics (CAC, LTV, Payback)</li>
<li>Demonstrated experience mentoring and developing analysts including coaching on technical skills, analytical thinking and stakeholder engagement</li>
<li>Exposure to product analytics or growth functions, with an ability to connect marketing and product data across the funnel</li>
<li>Prior experience influencing tooling, vendor or data infrastructure decisions at an organisational level</li>
</ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul><div>

<li><strong>People-first culture </strong>- Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential</strong> – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you </strong>– Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even paternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us </strong>– Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<p><strong>Diversity &amp; Inclusion: </strong>Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</p>
<p><strong>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in Germany without the need for visa sponsorship or relocation assistance.</p>
<p><strong>Background Checks: </strong>Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our Candidates Privacy Notice.&nbsp;</p>
<p>#LI-Hybrid<br>#LI-KA2</p>
</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

<div><br></div><div>We’re looking for a Principal Product Manager in an individual contributor role to own the Agentic AI experiences and the underlying AI platform capabilities that power them. You will be responsible for defining how Agentic AI delivers value to our customers across the Pipedrive CRM, shaping experiences that are safe, reliable, and scalable. Additionally, you will build and contribute to the shared platform capabilities that enable product teams to deliver AI-powered experiences consistently and at scale.</div>
<div>&nbsp;</div>
<div>The scope of this role spans both customer facing agentic AI capabilities and internal AI platform foundations. You will operate at a platform and systems level, working closely with engineering, applied AI and machine learning, design, security and product teams to ensure that agentic AI delivers meaningful customer value while remaining technically sound and operationally scalable.</div>
<div>&nbsp;</div>
<div>This high-impact role reports to the VP of Product and is ideal for a senior product leader who combines strong product thinking and customer centricity with a deep understanding of AI systems and complex platforms.</div>
<div>&nbsp;</div><div><p><strong>Your next adventure:</strong></p><span style="font-weight: 400;"><ul>
<li>Define and own the vision and roadmap for customer experience across Pipedrive CRM, aligned with company strategy, customer needs and market developments</li>
<li>Identify and prioritise high-value use cases where autonomous and semi-autonomous agents improve sales productivity and workflow efficiency</li>
<li>Own the product strategy and requirements for Pipedrive’s Agentic AI experience, enabling the development, deployment and operation of agentic AI capabilities</li>
<li>Define how agents interact with users, CRM data and workflows, including boundaries, controls, escalation paths and human-in-the-loop mechanisms</li>
<li>Ensure agentic behaviour is understandable, predictable and trustworthy through strong guardrails, safety mechanisms and observability</li>
<li>Contribute and partner on core platform capabilities, including agent orchestration and lifecycle management, planning, reasoning and tool use frameworks, and memory, context and state management</li>
<li>Establish clear product interfaces, APIs and platform contracts to enable internal teams and ecosystem partners to build on the AI platform</li>
<li>Translate business, customer and technical needs into clear product requirements and prioritised roadmaps, making principled trade-offs across experience, performance, cost, latency, reliability and safety</li>
<li>Define success metrics for agentic AI capabilities and the AI platform, and continuously evaluate impact using customer feedback, internal insights and usage data</li>
<li>Partner closely with engineering and AI/ML teams to shape technical direction, enable product teams across Pipedrive to adopt the AI platform effectively, and collaborate with legal, security, privacy and compliance to ensure responsible and compliant AI solutions</li>

<div>&nbsp;</div></ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>5+ years of product management experience, with senior individual contributor or principal level scope</li>
<li>Proven experience owning complex product capabilities and shared platforms</li>
<li>Strong understanding of LLM, agentic systems and modern AI architectures</li>
<li>Experience working closely with AI and machine learning engineers on production systems</li>
<li>Comfort defining APIs, SDKs and platform level product surfaces</li>
<li>Ability to operate with high autonomy and influence across teams without direct authority</li>
<li>Excellent product judgement in ambiguous and fast moving environments</li>
<li>Proven ability to drive product value and deliver strong customer experiences within tech companies, while bringing learnings to uplift and mentor others across the team</li>
<li>Clear and concise written and verbal communication skills</li>

<div>&nbsp;</div>
<div>Nice to have:</div>
<div>&nbsp;</div>

<li>Background in B2B SaaS, ideally within CRM or workflow driven products</li>
<li>Experience shipping customer-facing AI powered features at scale</li>
<li>Experience building or evolving internal AI or developer platforms</li>
<li>Familiarity with privacy, security and data protection considerations in AI systems</li>

<div>&nbsp;</div></ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> – Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential</strong> – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you </strong>– Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us </strong>– Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose </strong>– Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div>
<div><strong>Diversity &amp; Inclusion:</strong> Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</div>
<div><strong><br>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in <strong>Germany</strong> without the need for visa sponsorship or relocation assistance and located within a commutable distance to our Pipedrive&nbsp;<strong>Berlin </strong>office.</div>
<div><strong><br>Background Checks:</strong> Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our <span draggable="true"><a rel="noopener noreferrer" href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a></span>.</div>
<p>#LI-Hybrid&nbsp;<br>#LI-ME1</p>
</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

Principal Product Manager

<div><br></div><div>We’re looking for a Principal Product Manager in an individual contributor role to own the Agentic AI experiences and the underlying AI platform capabilities that power them. You will be responsible for defining how Agentic AI delivers value to our customers across the Pipedrive CRM, shaping experiences that are safe, reliable, and scalable. Additionally, you will build and contribute to the shared platform capabilities that enable product teams to deliver AI-powered experiences consistently and at scale.</div>
<div>&nbsp;</div>
<div>The scope of this role spans both customer facing agentic AI capabilities and internal AI platform foundations. You will operate at a platform and systems level, working closely with engineering, applied AI and machine learning, design, security and product teams to ensure that agentic AI delivers meaningful customer value while remaining technically sound and operationally scalable.</div>
<div>&nbsp;</div>
<div>This high-impact role reports to the VP of Product and is ideal for a senior product leader who combines strong product thinking and customer centricity with a deep understanding of AI systems and complex platforms.</div>
<div>&nbsp;</div><div><p><strong>Your next adventure:</strong></p><span style="font-weight: 400;"><ul>
<li>Define and own the vision and roadmap for customer experience across Pipedrive CRM, aligned with company strategy, customer needs and market developments</li>
<li>Identify and prioritise high-value use cases where autonomous and semi-autonomous agents improve sales productivity and workflow efficiency</li>
<li>Own the product strategy and requirements for Pipedrive’s Agentic AI experience, enabling the development, deployment and operation of agentic AI capabilities</li>
<li>Define how agents interact with users, CRM data and workflows, including boundaries, controls, escalation paths and human-in-the-loop mechanisms</li>
<li>Ensure agentic behaviour is understandable, predictable and trustworthy through strong guardrails, safety mechanisms and observability</li>
<li>Contribute and partner on core platform capabilities, including agent orchestration and lifecycle management, planning, reasoning and tool use frameworks, and memory, context and state management</li>
<li>Establish clear product interfaces, APIs and platform contracts to enable internal teams and ecosystem partners to build on the AI platform</li>
<li>Translate business, customer and technical needs into clear product requirements and prioritised roadmaps, making principled trade-offs across experience, performance, cost, latency, reliability and safety</li>
<li>Define success metrics for agentic AI capabilities and the AI platform, and continuously evaluate impact using customer feedback, internal insights and usage data</li>
<li>Partner closely with engineering and AI/ML teams to shape technical direction, enable product teams across Pipedrive to adopt the AI platform effectively, and collaborate with legal, security, privacy and compliance to ensure responsible and compliant AI solutions</li>

<div>&nbsp;</div></ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>5+ years of product management experience, with senior individual contributor or principal level scope</li>
<li>Proven experience owning complex product capabilities and shared platforms</li>
<li>Strong understanding of LLM, agentic systems and modern AI architectures</li>
<li>Experience working closely with AI and machine learning engineers on production systems</li>
<li>Comfort defining APIs, SDKs and platform level product surfaces</li>
<li>Ability to operate with high autonomy and influence across teams without direct authority</li>
<li>Excellent product judgement in ambiguous and fast moving environments</li>
<li>Proven ability to drive product value and deliver strong customer experiences within tech companies, while bringing learnings to uplift and mentor others across the team</li>
<li>Clear and concise written and verbal communication skills</li>

<div>&nbsp;</div>
<div>Nice to have:</div>
<div>&nbsp;</div>

<li>Background in B2B SaaS, ideally within CRM or workflow driven products</li>
<li>Experience shipping customer-facing AI powered features at scale</li>
<li>Experience building or evolving internal AI or developer platforms</li>
<li>Familiarity with privacy, security and data protection considerations in AI systems</li>

<div>&nbsp;</div></ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> – Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div><strong>Diversity &amp; Inclusion:</strong> Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</div>
<div><strong><br>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in <strong>UK</strong> without the need for visa sponsorship or relocation assistance and located within a commutable distance to our Pipedrive&nbsp;<strong>London </strong>office.</div>
<div><strong><br>Background Checks:</strong> Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our <span draggable="true"><a rel="noopener noreferrer" href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a></span>.</div>
<p>#LI-Hybrid&nbsp;<br>#LI-ME1</p></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

<div>We’re looking for a Principal Security Engineer to join Pipedrive as a technical builder responsible for engineering the security architecture of our SaaS platform, corporate operations and the tools and methods the security team will use. This position is a high-level engineering role focused on building the systems that automate security at scale and simultaneously address the threats to them. The role will also be an active partner across the business acting in an advisory role to both technical and business partners to ensure their vision and objectives can be safely met.</div>
<div>&nbsp;</div>
<div>If this sounds like an exciting opportunity, we’d love to chat!</div>
<div>&nbsp;</div>
<div>&nbsp;</div><div><p><strong>Your new adventure:</strong></p><span style="font-weight: 400;"><ul><div><strong>Security Engineering &amp; Agentic Automation</strong></div>
<ul style="text-align: left;">
<li>Engineer and architect scalable security solutions for cloud-native environments to protect customer data, applications, and networks</li>
<li>Develop autonomous security agents and workflows using LLMs and agentic frameworks to automate complex tasks such as event monitoring and triage, threat modeling, vulnerability discovery and remediation</li>
<li>Design and build automated identity and access management (IAM), data encryption, and threat detection capabilities that function without manual intervention</li>

<div><strong>AI Security Architecture &amp; Integrity</strong></div>
<ul style="text-align: left;">
<li>Create technical baselines and security controls for AI-driven products, ensuring data model integrity and the security of training pipelines</li>
<li>Build defenses against emerging AI-specific threats, such as prompt injection, model inversion, and data leakage, within both customer-facing and internal AI initiatives</li>
<li>Conduct deep-dive technical reviews of AI architectures to ensure security is embedded into the foundation of every new model and automation project</li>

<div><strong>Technical Leadership &amp; Collaboration</strong></div>

<li style="text-align: left;">Lead the response effort during active security incidents and provide expert analysis when called upon for internal investigations</li>
<li style="text-align: left;">Partner with Engineering and SRE teams to engineer security directly into our Platform, CI/CD pipelines and Infrastructure-as-Code (IaC)</li>
<li style="text-align: left;">Provide technical mentorship to security and engineering teams, fostering a culture where security is viewed as an engineering challenge to be solved with code</li>
<li>Ensure that all engineered solutions align with the broader enterprise security strategy</li>

<div>&nbsp;</div></ul></ul></ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>7+ years of experience in security engineering, cloud security, or security architecture in a SaaS or cloud-native environment</li>
<li>Demonstrated ability building with AI: developing with LLM APIs, agentic frameworks or utilizing AI-assisted coding tools to automate engineering workflows</li>
<li>Deep technical proficiency in cloud security, modern IAM, and network security</li>
<li>Expertise in Secure SDLC &amp; DevSecOps: Strong understanding of building security into automated deployment pipelines and infrastructure</li>
<li>Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences</li>

<div>&nbsp;</div></ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> – Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div><strong>Diversity &amp; Inclusion:</strong> Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</div>
<div><strong><br>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in <strong>Estonia</strong> without the need for visa sponsorship or relocation assistance and located within a commutable distance to our Pipedrive&nbsp;<strong>Tallinn </strong>office.</div>
<div><strong><br>Background Checks:</strong> Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our <span draggable="true"><a rel="noopener noreferrer" href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a></span>.</div>
<p>#LI-Hybrid&nbsp;<br>#LI-ME1</p></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile, and please add why we should pay extra attention to your application.</div>
<div>&nbsp;</div>
<div>&nbsp;</div>

Principal Security Engineer

<div><br></div><div>We’re looking for a Principal Security Engineer to join Pipedrive as a technical builder responsible for engineering the security architecture of our SaaS platform, corporate operations and the tools and methods the security team will use. This position is a high-level engineering role focused on building the systems that automate security at scale and simultaneously address the threats to them. The role will also be an active partner across the business acting in an advisory role to both technical and business partners to ensure their vision and objectives can be safely met.</div>
<div>&nbsp;</div>
<div>If this sounds like an exciting opportunity, we’d love to chat!</div>
<div>&nbsp;</div>
<div>&nbsp;</div><div><p><strong>Your new adventure:</strong></p><span style="font-weight: 400;"><ul><div><strong>Security Engineering &amp; Agentic Automation</strong></div>
<ul style="text-align: left;">
<li>Engineer and architect scalable security solutions for cloud-native environments to protect customer data, applications, and networks</li>
<li>Develop autonomous security agents and workflows using LLMs and agentic frameworks to automate complex tasks such as event monitoring and triage, threat modeling, vulnerability discovery and remediation</li>
<li>Design and build automated identity and access management (IAM), data encryption, and threat detection capabilities that function without manual intervention</li>

<div><strong>AI Security Architecture &amp; Integrity</strong></div>
<ul style="text-align: left;">
<li>Create technical baselines and security controls for AI-driven products, ensuring data model integrity and the security of training pipelines</li>
<li>Build defenses against emerging AI-specific threats, such as prompt injection, model inversion, and data leakage, within both customer-facing and internal AI initiatives</li>
<li>Conduct deep-dive technical reviews of AI architectures to ensure security is embedded into the foundation of every new model and automation project</li>

<div><strong>Technical Leadership &amp; Collaboration</strong></div>

<li style="text-align: left;">Lead the response effort during active security incidents and provide expert analysis when called upon for internal investigations</li>
<li style="text-align: left;">Partner with Engineering and SRE teams to engineer security directly into our Platform, CI/CD pipelines and Infrastructure-as-Code (IaC)</li>
<li style="text-align: left;">Provide technical mentorship to security and engineering teams, fostering a culture where security is viewed as an engineering challenge to be solved with code</li>
<li>Ensure that all engineered solutions align with the broader enterprise security strategy</li>

<div>&nbsp;</div></ul></ul></ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>7+ years of experience in security engineering, cloud security, or security architecture in a SaaS or cloud-native environment</li>
<li>Demonstrated ability building with AI: developing with LLM APIs, agentic frameworks or utilizing AI-assisted coding tools to automate engineering workflows</li>
<li>Deep technical proficiency in cloud security, modern IAM, and network security</li>
<li>Expertise in Secure SDLC &amp; DevSecOps: Strong understanding of building security into automated deployment pipelines and infrastructure</li>
<li>Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences</li>

<div>&nbsp;</div></ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> – Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div><strong>Diversity &amp; Inclusion:</strong> Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</div>
<div><strong><br>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in <strong>UK</strong> without the need for visa sponsorship or relocation assistance and located within a commutable distance to our Pipedrive&nbsp;<strong>London </strong>office.</div>
<div><strong><br>Background Checks:</strong> Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our <span draggable="true"><a rel="noopener noreferrer" href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a></span>.</div>
<p>#LI-Hybrid&nbsp;<br>#LI-ME1</p></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

<div><br></div><div>We’re looking for a Principal Security Engineer to join Pipedrive as a technical builder responsible for engineering the security architecture of our SaaS platform, corporate operations and the tools and methods the security team will use. This position is a high-level engineering role focused on building the systems that automate security at scale and simultaneously address the threats to them. The role will also be an active partner across the business acting in an advisory role to both technical and business partners to ensure their vision and objectives can be safely met.</div>
<div>&nbsp;</div>
<div>If this sounds like an exciting opportunity, we’d love to chat!</div>
<div>&nbsp;</div>
<div>&nbsp;</div><div><p><strong>Your new adventure:</strong></p><span style="font-weight: 400;"><ul><div><strong>Security Engineering &amp; Agentic Automation</strong></div>
<ul style="text-align: left;">
<li>Engineer and architect scalable security solutions for cloud-native environments to protect customer data, applications, and networks</li>
<li>Develop autonomous security agents and workflows using LLMs and agentic frameworks to automate complex tasks such as event monitoring and triage, threat modeling, vulnerability discovery and remediation</li>
<li>Design and build automated identity and access management (IAM), data encryption, and threat detection capabilities that function without manual intervention</li>

<div><strong>AI Security Architecture &amp; Integrity</strong></div>
<ul style="text-align: left;">
<li>Create technical baselines and security controls for AI-driven products, ensuring data model integrity and the security of training pipelines</li>
<li>Build defenses against emerging AI-specific threats, such as prompt injection, model inversion, and data leakage, within both customer-facing and internal AI initiatives</li>
<li>Conduct deep-dive technical reviews of AI architectures to ensure security is embedded into the foundation of every new model and automation project</li>

<div><strong>Technical Leadership &amp; Collaboration</strong></div>

<li style="text-align: left;">Lead the response effort during active security incidents and provide expert analysis when called upon for internal investigations</li>
<li style="text-align: left;">Partner with Engineering and SRE teams to engineer security directly into our Platform, CI/CD pipelines and Infrastructure-as-Code (IaC)</li>
<li style="text-align: left;">Provide technical mentorship to security and engineering teams, fostering a culture where security is viewed as an engineering challenge to be solved with code</li>
<li>Ensure that all engineered solutions align with the broader enterprise security strategy</li>

<div>&nbsp;</div></ul></ul></ul></span><p><strong>Does this sound like you?</strong></p><span style="font-weight: 400;"><ul>
<li>7+ years of experience in security engineering, cloud security, or security architecture in a SaaS or cloud-native environment</li>
<li>Demonstrated ability building with AI: developing with LLM APIs, agentic frameworks or utilizing AI-assisted coding tools to automate engineering workflows</li>
<li>Deep technical proficiency in cloud security, modern IAM, and network security</li>
<li>Expertise in Secure SDLC &amp; DevSecOps: Strong understanding of building security into automated deployment pipelines and infrastructure</li>
<li>Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences</li>

<div>&nbsp;</div></ul></span><p><strong>Why Pipedrive?</strong></p><span style="font-weight: 400;"><ul>
<li><strong>People-first culture</strong> – Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome</li>
<li><strong>Unlock potential </strong>– Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change</li>
<li><strong>We’ve got you</strong> – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people</li>
<li><strong>Grow with us</strong> – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability</li>
<li><strong>Packed with purpose</strong> – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work</li>

<div>
<div><strong>Diversity &amp; Inclusion:</strong> Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.</div>
<div><strong><br>Eligibility:</strong> Please note that for this position, we are only able to consider candidates who already possess the legal right to work in <strong>Germany</strong> without the need for visa sponsorship or relocation assistance and located within a commutable distance to our Pipedrive&nbsp;<strong>Berlin </strong>office.</div>
<div><strong><br>Background Checks:</strong> Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre-employment background check. This will be handled in strict accordance with our <span draggable="true"><a rel="noopener noreferrer" href="https://www.pipedrive.com/en/jobs/privacy-policy">Candidates Privacy Notice</a></span>.</div>
<p>#LI-Hybrid&nbsp;<br>#LI-ME1</p>
</div></ul></span></div><br><div>If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.</div><div><br></div>

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Principal AI/ML Scientist & Engineer

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About Pipedrive

Open positions

Filters

Location

Department

Job listings

Principal AI/ML Scientist & Engineer

Principal Decision Scientist - Marketing

Principal Product Manager

Principal Security Engineer

About Pipedrive