Sr. Director, Engineering - Applied AI

Zapier
NAMERPosted 7 April 2026

Job Description

Sr. Director, Engineering - Applied AI AI AT ZAPIER At Zapier https://zapier.com/about, 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 https://zapier.com/l/jobs/ai-at-zapier, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Hi there! Zapier is on a mission to make automation accessible to everyone, empowering people and businesses to be more efficient and productive. We’re seeking a Sr. Director of Engineering to lead our AI Orchestration engineering organization. In this role, you’ll manage multiple engineering squads to innovate and deliver AI solutions. You will lead AI engineering execution across the build organization. This role will report to Chee Chew Zapier’s CPTO https://www.linkedin.com/in/cheechew/ (Chief Product and Technology Officer) and will partner with the Director of Product - AI. We know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Zapier. To help share a bit more about life at Zapier, here are a few resources in addition to the job description that can give you an inside look at what life is like at Zapier. Hopefully, you'll take the leap of faith and apply. - Our Commitment to Applicants https://zapier.com/jobs/our-commitment-to-applicants/ - Culture and Values at Zapier https://zapier.com/jobs/culture-and-values-at-zapier/ - Zapier Guide to Remote Work https://zapier.com/learn/remote-work/ - Zapier Code of Conduct https://zapier.com/jobs/zapier-code-of-conduct/ - Diversity and Inclusivity at Zapier https://zapier.com/jobs/working-on-diversity-and-inclusivity/ Zapier is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. ABOUT YOU - You’re a hands-on technical leader who thrives at the intersection of AI innovation and real-world product impact. You combine a deep understanding of AI and ML systems with the ability to apply them pragmatically to ship customer-facing products that solve meaningful problems. - You’re passionate about applied AI engineering. You stay at the forefront of AI development and experimentation, and your peers look to you for insight, vision, and guidance on how to best leverage AI for customers and in day-to-day execution. - You're driven to ship user-facing ML and LLM-powered products. You’ve had hands-on experience building and shipping user-facing LLM features, training and tuning models, and integrating them into end-to-end products. Beyond AI, you’re a trusted technical architect who makes pragmatic tradeoffs to deliver quickly and with impact. - You think strategically and act pragmatically. You can see where AI is heading and use that vision to guide near-term architecture, tradeoffs, and execution. You’re comfortable with ambiguity and can chart a path forward even when the technology is evolving. - You’re customer-obsessed. You deeply understand customer needs and are passionate about delivering high-quality solutions to our customers. You have a passion for building products that delight both internal and external customers, making their jobs easier and more productive. You thrive on working directly with customers and support and customer success teams towards the common outcome. - You can develop and sell a vision and strategy to your team and across the org. You have a good sense of vision and strategy, and you’re able to translate that strategy into successful execution through experimentation and continuous improvement. You partner closely with product management, design, marketing, and the support organizations to drive and achieve business outcomes. - You’re motivated by shaping what’s next. You want t ... (truncated, view full listing at source)
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