Senior Product Manager, AI & ML Platform
$150,000–$196,880 year
Hybrid · New York City, New York, United States or San Francisco, California, United States
Job Summary
Senior Product Manager, AI & ML Platform to define and execute a scalable AI/ML foundation. Lead platform strategy and roadmap, enable rapid experimentation, safe deployment, and production-scale use across product teams. Collaborate with Engineering leadership to translate ambiguous AI/ML needs into well-scoped capabilities, define success metrics and rollout plans, and drive adoption. Responsibilities include shaping the platform strategy, driving continuous discovery with product, clinical, and engineering teams, aligning investments to business impact, and maintaining service standards. Requires 4+ years in technical product management, strong collaboration with engineering, and deep understanding of AI/ML systems and workflows. Target base salary range: $150,000 - $196,880 plus equity and benefits.
Required Qualifications
- 4+ years of Product Management experience, including ownership of highly technical platforms, infrastructure, or developer-facing products
- Demonstrated experience partnering with Engineering to ship scalable, reliable systems in production environments
- Strong understanding of AI/ML systems and workflows (model lifecycle, evaluation, deployment, observability)
- Track record of driving roadmap clarity in ambiguous, fast-moving spaces and delivering measurable outcomes
- Experience running continuous discovery with internal users and translating feedback into high-impact platform improvements
- Ability to define clear success metrics, service standards, and rollout strategies that drive adoption
- Excellent cross-functional communication skills, with the ability to influence senior technical stakeholders without formal authority
- Prior machine learning engineering experience is preferred but not required
Desired Qualifications
- 4+ years of Product Management experience in highly technical platforms
- Experience partnering with Engineering to ship scalable, reliable systems
- Strong understanding of AI/ML systems and workflows (model lifecycle, evaluation, deployment, observability)
- Ability to translate complex technical concepts into clear product direction
- Experience running continuous discovery with internal users
- Ability to define clear success metrics, service standards, and rollout strategies
- Excellent cross-functional communication skills to influence senior technical stakeholders
- Prior machine learning engineering experience is preferred but not required
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