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. Location: North America Hi there! Zapier is becoming the governed action, context, and execution layer for agents: the platform enterprises trust to let AI act on their real systems, safely. The Enterprise engineering organization builds the foundation that promise depends on - identity, access, audit, and administrative control that hold up whether the actor taking action is a human clicking through a Zap, code running on a schedule, or an AI agent operating on its own. We're looking for a Director of Engineering to lead Zapier's Enterprise engineering organization into its next phase of growth. As agent adoption accelerates and the bar for enterprise trust keeps rising, this org's work is becoming more central to Zapier's strategy, and you'll have real latitude to shape what world-class identity, audit, and governance infrastructure looks like at Zapier's next scale. You'll partner closely with a group of engineers, product managers, designers, peer leaders across the org, and with go-to-market teams who depend on your organization to close and support Zapier's largest customers. You’ll have real influence shaping the operating mechanics of your org. We're looking for someone energized by exactly this kind of work: someone who wants to build the definitive playbook for how Zapier governs AI acting on behalf of its customers, at the moment that work matters most. 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/ Even though our job description may seem like we're looking for a specific candidate, the role inevitably ends up tailored to whoever applies and joins. Regardless of how well you feel you fit our description, we encourage you to apply if you meet these criteria: ABOUT YOU You think in terms of governance, not just features. You understand that identity, access control, audit, and policy aren't compliance checkboxes - they're the trust infrastructure that determines whether enterprises can safely let AI act on their systems. You've built or led systems where getting this wrong has real consequences, and you bring that judgment to every product and architecture decision. You raise the bar on reliability as you scale. You've built strong service ownership models, clear on-call practices, and durable quality bars in fast-growing engineering organizations. You treat reliability and operational excellence as a competitive advantage rather than an afterthought, and you know how to instill that discipline in a team that's scaling quickly. You set technical direction - you don't just execute someone else's. You partner deeply with Product and Design as peers and shape strategy together, but you bring a strong, independent engineering point of view to that partnership. You're comfortable being the person who pushes back on a roadmap when the technical or operational reality demands it. You've scaled engineering organizations through structural change. You've led teams of managers and technical leads through real organizational transitions, not just steady-state growth - shifting operating models, redefining ownership, or integrating new ways of working. You know how to bring a team through ambiguity without losing their trust or their output. You are deeply customer- and stakeholder-oriented. You've worked directly with sales, customer success, and enterprise customers to understand what "enterprise-ready" actually means in practice, and you've made the tradeoffs between enterprise scale and delivery speed. You're a credible, responsive partner to go-to-market teams without letting reactive asks crowd out foundational work. You've driven engineering quality and velocity with data. You've established data-driven approaches to measuring delivery, reliability, and quality, and used them to make real investment tradeoffs rather than to produce a dashboard. You have a point of view on balancing reactive/KTLO work against proactive investment, with mechanisms to keep that balance honest. You are a skilled mentor, coach, and communicator. You have a track record of developing engineers and engineering leaders, and you communicate proactively and clearly, in writing by default, to align technical and non-technical stakeholders on vision, tradeoffs, and results. You lead AI-native engineering, not just AI-native products. You've used AI coding agents and orchestration tools (Cursor, Claude Code, Codex, or similar), and you have a concrete point of view on how they change what "good" engineering practice looks like - code review, on-call ownership, and quality bars all need rethinking when a meaningful share of code is agent-authored. You embed accountability into AI-assisted workflows rather than lowering the bar for velocity, and you expect the s