Manager, ML & AI — AI Platform

Company: Zapier

Employment Type: Full-Time

Location: 100% Remote – NAMER/EMEA (North America, Europe, Middle East, Africa)

Compensation: $254,800 – $382,200 (USD, plus equity and bonus; also hiring in Canada CA$254.8K–CA$382.2K and Spain €149.3K–€223.9K)

Category: Data/AI/Analytics

Close date or Apply by date: April 30, 2026

WHY THIS ROLE MADE THE CUT

• Fully remote (no hybrid or office requirements)

• Full-Time role

• Job is listed on company site with a direct link to apply

• Legitimate, established company

• Posted within the last 14 days OR includes a clear deadline to apply

• Clear salary range is disclosed

WHAT YOU'LL DO:

Zapier is hiring a Manager, ML & AI to lead AI Platform team within Data organization building shared foundations that make it faster and safer for product teams to ship AI/ML-powered experiences including model runtime and serving patterns, LLMOps/MLOps tooling, evaluation harnesses, feature and data access patterns, reliability and cost controls, and developer workflows. You'll lead 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, deliver platform outcomes that help product teams ship AI faster and more safely including paved roads, reusable libraries/services, standard patterns, and clear developer documentation, own AI Platform roadmap with PM partner translating cross-team needs into 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, and drive operational excellence by defining SLOs, running incident reviews, improving alerting/monitoring, and ensuring platform is dependable and cost-effective.

WHAT YOU'LL NEED:

5+ years experience in Machine Learning/AI and have shipped production systems end-to-end (from design, launch, iteration, monitoring/on-call), experience leading engineers (people management or clear team-lead responsibility) and coaching through feedback, delegation, and career development, ability to translate ambiguous goals into prioritized roadmap with milestones, measurable outcomes, and clear ownership, experience building or operating platform/infrastructure/tooling used by other teams, strong software engineering fundamentals (clean, testable code, CI/CD, operational readiness, reliability and incident response), understanding of ML/LLM system design well enough to guide decisions on serving patterns, evaluation/quality gates, observability, safe rollouts, and cost controls, effectiveness at stakeholder management at scale building trust across dozens of teams, strong product judgment and comfort saying no to low-leverage requests, ability to balance speed, safety, reliability, and cost, and use of AI in work today as part of how you operate at high level.

KEY WORDS TO INCLUDE IN YOUR RESUME/COVER LETTER IF YOU APPLY:

• Machine Learning and AI (5+ years)

• ML/AI platform or infrastructure development

• People management and team leadership

• LLMOps and MLOps tooling

• Production system design and deployment

• Stakeholder management at scale

• Software engineering fundamentals (CI/CD, reliability)

• ML/LLM system design and serving patterns

• Roadmap development and prioritization

• Operational excellence and incident response

Keywords are suggested based on the language used in the employer's job description to help applicants align with automated screening systems.

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