Engineering Manager - Growth
AI at Zapier
At Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here — that’s great! We just ask that you use them responsibly and transparently.
Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process — and when not to.
Hi there!
We're looking for an Engineering Manager - Growth Personalization to lead our Personalization Platform team within the Growth Engineering org. In this role, you will lead a team of engineers responsible for building, scaling, and maintaining Zapier's personalization infrastructure that powers contextual experiences across our entire product. Your team's mission includes enabling data-driven product experiences, enhancing user engagement through personalized recommendations, and building the foundation that allows teams across Zapier to deliver tailored experiences at scale.
You'll collaborate with Data, Product, and other cross-functional teams to ensure our personalization platform is robust, scalable, and aligned with driving user activation and retention goals.
If you're eager to lead high-impact projects at a fast-growing, profitable, and remote-first company, read on!
About You
You're an experienced engineering leader with 3+ years managing teams focused on personalization, experimentation, or growth platforms. You thrive in fast-paced, data-driven environments and can navigate ambiguity while priorities evolve.
You bring deep technical expertise in modern web technologies and personalization ecosystems, including recommendation engines, A/B testing platforms, feature flagging, and real-time data pipelines.
You have hands-on experience with our core tech stack: TypeScript, Python, Node.js, GraphQL, and Next.js. You've shipped production code and can contribute to technical discussions, code reviews, and architecture decisions.
You understand personalization strategies, user segmentation, ML model integration, and data-driven product development.
You're a strong collaborator who builds alignment between Engineering, Data, and Product teams. Your communication skills help you balance technical debt with business needs while building trust across stakeholders.
You embrace change and see system migrations and organizational shifts as opportunities to build a more capable platform. You can lead your team through ambiguity while maintaining focus on outcomes.
You have excellent written and verbal communication skills, effectively conveying technical concepts to diverse audiences and keeping leadership informed through clear, actionable updates.
Things You'll Do
Define the technical strategy for the Personalization Platform, collaborating with stakeholders across Data, Product, and Growth teams to align technical solutions with business goals.
Lead technical execution, including system design, architecture, and operational excellence, to ensure reliability and scalability of personalization and experimentation infrastructure.
Own the development of self-service tools that enable product teams to design, deploy, and analyze their own A/B tests and personalized experiences without engineering bottlenecks.
Partner closely with the Data org to implement recommendation engines and user context APIs that drive front-end personalization across the logged-in member homepage, onboarding survey, and embedded experiences throughout the product.
Build and maintain high-throughput, low-latency systems that deliver personalized content and recommendations in real-time using technologies like Algolia, GraphQL, and edge computing.
Stay on top of personalization and experimentation trends and innovations, ensuring Zapier remains competitive in its approach to user engagement and growth.
Develop effective ways to communicate, monitor, and lead your team through weekly one-on-ones and team meetings.
Build rapport with each member of your Engineering Team and support them through coaching and mentorship to help level up their skills, and performance management when necessary.
Participate in code reviews, learning and spreading technical knowledge throughout Zapier - moving knowledge to documentation where appropriate.
Maintain a focus on our customers by using customer feedback and data insights to guide your team through tradeoffs. You'll help your team understand when to be rigid on quality and how to be flexible and creative with scope.
Actively recruit, onboard, and train new engineers at Zapier, as well as supporting the continuous improvement of hiring practices in Engineering.
Create documentation and training resources to help teams effectively utilize the personalization platform and drive adoption across the organization.
We'd love to hear why you think you'd excel in this role. In answering your application questions, please reference any particular aspects of the 'About You' and 'Things You Might Do' that resonate with your experience and skills.
About the job
Apply for this position
Engineering Manager - Growth
AI at Zapier
At Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here — that’s great! We just ask that you use them responsibly and transparently.
Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process — and when not to.
Hi there!
We're looking for an Engineering Manager - Growth Personalization to lead our Personalization Platform team within the Growth Engineering org. In this role, you will lead a team of engineers responsible for building, scaling, and maintaining Zapier's personalization infrastructure that powers contextual experiences across our entire product. Your team's mission includes enabling data-driven product experiences, enhancing user engagement through personalized recommendations, and building the foundation that allows teams across Zapier to deliver tailored experiences at scale.
You'll collaborate with Data, Product, and other cross-functional teams to ensure our personalization platform is robust, scalable, and aligned with driving user activation and retention goals.
If you're eager to lead high-impact projects at a fast-growing, profitable, and remote-first company, read on!
About You
You're an experienced engineering leader with 3+ years managing teams focused on personalization, experimentation, or growth platforms. You thrive in fast-paced, data-driven environments and can navigate ambiguity while priorities evolve.
You bring deep technical expertise in modern web technologies and personalization ecosystems, including recommendation engines, A/B testing platforms, feature flagging, and real-time data pipelines.
You have hands-on experience with our core tech stack: TypeScript, Python, Node.js, GraphQL, and Next.js. You've shipped production code and can contribute to technical discussions, code reviews, and architecture decisions.
You understand personalization strategies, user segmentation, ML model integration, and data-driven product development.
You're a strong collaborator who builds alignment between Engineering, Data, and Product teams. Your communication skills help you balance technical debt with business needs while building trust across stakeholders.
You embrace change and see system migrations and organizational shifts as opportunities to build a more capable platform. You can lead your team through ambiguity while maintaining focus on outcomes.
You have excellent written and verbal communication skills, effectively conveying technical concepts to diverse audiences and keeping leadership informed through clear, actionable updates.
Things You'll Do
Define the technical strategy for the Personalization Platform, collaborating with stakeholders across Data, Product, and Growth teams to align technical solutions with business goals.
Lead technical execution, including system design, architecture, and operational excellence, to ensure reliability and scalability of personalization and experimentation infrastructure.
Own the development of self-service tools that enable product teams to design, deploy, and analyze their own A/B tests and personalized experiences without engineering bottlenecks.
Partner closely with the Data org to implement recommendation engines and user context APIs that drive front-end personalization across the logged-in member homepage, onboarding survey, and embedded experiences throughout the product.
Build and maintain high-throughput, low-latency systems that deliver personalized content and recommendations in real-time using technologies like Algolia, GraphQL, and edge computing.
Stay on top of personalization and experimentation trends and innovations, ensuring Zapier remains competitive in its approach to user engagement and growth.
Develop effective ways to communicate, monitor, and lead your team through weekly one-on-ones and team meetings.
Build rapport with each member of your Engineering Team and support them through coaching and mentorship to help level up their skills, and performance management when necessary.
Participate in code reviews, learning and spreading technical knowledge throughout Zapier - moving knowledge to documentation where appropriate.
Maintain a focus on our customers by using customer feedback and data insights to guide your team through tradeoffs. You'll help your team understand when to be rigid on quality and how to be flexible and creative with scope.
Actively recruit, onboard, and train new engineers at Zapier, as well as supporting the continuous improvement of hiring practices in Engineering.
Create documentation and training resources to help teams effectively utilize the personalization platform and drive adoption across the organization.
We'd love to hear why you think you'd excel in this role. In answering your application questions, please reference any particular aspects of the 'About You' and 'Things You Might Do' that resonate with your experience and skills.