Manager, ML & AI — AI Platform
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
AI at Zapier
Check out our guidance on How to Collaborate with AI During Zapiers Hiring Process including how to use AI tools like ChatGPT Claude Gemini or others during our hiring process - and when not to.
Location: NAMER / EMEA (Remote)
Hi there!
Zapier is looking for a Manager Machine Learning & AI to lead our AI Platform team within the Data organization. AI is at the core of how Zapier helps customers automate work - powering everything from established AI/ML-driven experiences to new experiments that push whats possible with LLMs and agents. This is an exciting moment to join: were scaling proven AI capabilities while also building the next generation of AI features which means theres real impact today and meaningful greenfield work ahead.
The AI Platform team builds the shared foundations that make it faster and safer for product teams to ship AI/ML-powered experiences: model runtime and serving patterns LLMOps/MLOps tooling evaluation harnesses feature and data access patterns reliability and cost controls and developer workflows. Youll lead a team of ML/AI engineers focused on enablement at scale partnering closely with applied ML teams and product engineering to turn cross-cutting needs into reusable primitives platforms and golden paths - so Zapier can ship AI features quickly without compromising safety reliability or cost.
About you
You have 5 years of experience in Machine Learning / AI and have shipped production systems end-to-end (from design launch iteration monitoring/on-call).
You have experience leading engineers (people management or clear team-lead responsibility) and you coach through feedback delegation and career development.
You can translate ambiguous goals into a prioritized roadmap with milestones measurable outcomes and clear ownership.
You have built or operated platform / infrastructure / tooling used by other teams (internal platforms ML platforms data platforms evaluation/experimentation platforms or similar).
You have strong software engineering fundamentals (clean testable code; CI/CD; operational readiness; reliability and incident response).
You understand ML/LLM system design well enough to guide decisions on serving patterns evaluation/quality gates observability safe rollouts and cost controls.
Youre effective at stakeholder management at scale: you build trust across dozens of teams (not just a handful of close partners) align on clear interfaces and contracts and drive broad adoption through documentation enablement and pragmatic support.
You have strong product judgment and are comfortable saying no: you push back on low-leverage requests prioritize work that compounds across teams and communicate tradeoffs clearly and respectfully.
You balance speed safety reliability and cost and you default to shipping works simply solutions and iterating based on learnings.
You communicate clearly with both technical and non-technical audiences making tradeoffs progress and impact easy to understand.
You use AI in your work today not occasionally but as part of how you operate at a high level. You can point to workflows youve built how your approach has evolved through iteration and the impact on quality efficiency and experience while intentionally applying AI for the right outcomes setting a high bar for outputs and taking ownership of what ships.
Things youll do
Lead the AI Platform team: hire coach and develop ML/AI engineers; run team rituals; manage performance; and build a strong inclusive team culture.
Deliver platform outcomes that help product teams ship AI faster and more safely: paved roads reusable libraries/services standard patterns and clear developer documentation.
Own the AI Platform roadmap with your PM partner translating cross-team needs into a prioritized plan with clear tradeoffs measurable adoption and business impact.
Partner cross-functionally with product teams Applied AI/ML teams Security and Data Platform teams to ensure platform capabilities integrate cleanly and are widely adopted.
Drive operational excellence: define SLOs where appropriate run incident reviews improve alerting/monitoring and ensure the platform is dependable and cost-effective.
Participate in AI vendor evaluation and management as needed (requirements trials integration plans and cost/performance monitoring).
Communicate clearly and often: share updates tradeoffs and platform adoption progress; make the work visible; and keep stakeholders aligned.
Application Deadline:
The anticipated application window is 30 days from the date job is posted unless the number of applicants requires it to close sooner or later or if the position is filled.
Even though were an all-remote company we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.
Required Experience:
Manager
Key Skills
About Company
Zapier relies on dozens of systems that emit data about Zapier and our potential and current users and partners. This data is useful for us to make a better product, better decisions, and understand our weaknesses and opportunities. The data team at Zapier pulls this data from DBs, AP ... View more
