
SaaS • Productivity • B2B
Zapier is a leading automation platform that enables users to connect and automate workflows across more than 7,000 applications. Known for its no-code approach, Zapier empowers individuals and teams to streamline tasks by creating automated processes called "Zaps," which link triggers and actions between different apps. The platform is trusted by millions of users globally, including 87% of Forbes Cloud 100 companies, offering solutions that enhance productivity and efficiency in various business functions.
November 22
🇺🇸 United States – Remote
💵 $191.5k - $287.3k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager

SaaS • Productivity • B2B
Zapier is a leading automation platform that enables users to connect and automate workflows across more than 7,000 applications. Known for its no-code approach, Zapier empowers individuals and teams to streamline tasks by creating automated processes called "Zaps," which link triggers and actions between different apps. The platform is trusted by millions of users globally, including 87% of Forbes Cloud 100 companies, offering solutions that enhance productivity and efficiency in various business functions.
• Define the technical strategy for the Personalization Platform, collaborating with stakeholders across Data, Product, and Growth teams. • Lead technical execution, including system design, architecture, and operational excellence. • Own the development of self-service tools for product teams to design, deploy, and analyze A/B tests and personalized experiences. • Partner with the Data org to implement recommendation engines and user context APIs. • Build and maintain high-throughput, low-latency systems for personalized content and recommendations. • Stay updated on personalization and experimentation trends. • Develop effective communication and monitoring practices for team meetings. • Build rapport with your Engineering Team through coaching and mentorship. • Participate in code reviews and knowledge sharing.
• 3+ years managing teams focused on personalization, experimentation, or growth platforms. • Deep technical expertise in modern web technologies and personalization ecosystems, including recommendation engines, A/B testing platforms, feature flagging, and real-time data pipelines. • Hands-on experience with core tech stack: TypeScript, Python, Node.js, GraphQL, and Next.js. • Understand personalization strategies, user segmentation, ML model integration, and data-driven product development. • Strong collaboration skills to build alignment between Engineering, Data, and Product teams. • Excellent written and verbal communication skills.
• Offers Equity • Offers Bonus
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