AI and Automation Leader building secure enterprise AI and automation for Top Aces’ defense training and aircraft sustainment services. Improving aviation readiness, MRO, supply chain, compliance, and corporate productivity.
About the role
- Manager, Machine Learning & AI leading AI Platform team at Zapier. Focused on enabling AI features and infrastructure while partnering with multiple teams.
Responsibilities
- 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.
Requirements
- 5+ years of 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 you coach through feedback, delegation, and career development.
- Can translate ambiguous goals into a prioritized roadmap with milestones, measurable outcomes, and clear ownership.
- Built or operated platform / infrastructure / tooling used by other teams (internal platforms, ML platforms, data platforms, evaluation/experimentation platforms, or similar).
- Strong software engineering fundamentals (clean, testable code; CI/CD; operational readiness; reliability and incident response).
- Understand ML/LLM system design well enough to guide decisions on serving patterns, evaluation/quality gates, observability, safe rollouts, and cost controls.
- Effective at stakeholder management at scale: you build trust across dozens of teams, align on clear interfaces and contracts, and drive broad adoption through documentation, enablement, and pragmatic support.
- Strong product judgment and comfortable saying no: you push back on low-leverage requests, prioritize work that compounds across teams, and communicate tradeoffs clearly and respectfully.
- Balance speed, safety, reliability, and cost, and you default to shipping “works simply” solutions and iterating based on learnings.
- Communicate clearly with both technical and non-technical audiences, making tradeoffs, progress, and impact easy to understand.
- Use AI in your work today — not occasionally, but as part of how you operate at a high level.
Benefits
- Offers Equity
- Offers Bonus
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