Senior Product Manager - Inference Platform
Your tasks
As a Senior Product Manager – Inference Platform, you will lead the strategy, development, and adoption of critical inference platform capabilities while aligning technical execution with customer needs and business priorities. Your responsibilities will include:
- Own the product strategy, roadmap, and measurable outcomes for a core stream of the AI inference platform.
- Coordinate and align multiple cross-functional engineering teams working on public APIs, request routing, performance optimization, reliability, and enterprise enablement.
- Partner with engineering and research teams to improve inference scalability, reliability, and cost efficiency.
- Translate complex technical improvements into dependable platform capabilities that deliver tangible value to developers and enterprise customers.
- Conduct customer research, interviews, and hands-on proofs of concept, with particular attention to managed enterprise customers.
- Analyze emerging open-source models, inference economics, hardware developments, and real-world AI adoption patterns to identify product opportunities.
- Turn market insights and customer feedback into prioritized product initiatives and strategic investment decisions.
- Communicate product direction, requirements, trade-offs, and expectations effectively across engineering, research, sales, support, and leadership.
- Develop clear product requirements documents (PRDs), request for comments (RFCs), release notes, and other documentation to support alignment and delivery.
- Adapt product priorities and execution plans as customer requirements, technologies, and market conditions evolve.
Requirements
The ideal candidate combines strong product leadership with hands-on technical understanding of AI inference and production infrastructure. You should be comfortable navigating ambiguity, influencing engineering teams, and translating complex technical concepts into clear product decisions. Required qualifications include:
- Demonstrated experience launching and managing technical platform products from strategy through delivery and adoption.
- Senior-level product management experience with the ability to lead initiatives spanning multiple engineering teams.
- Strong technical understanding of AI inference, including model serving, distributed systems, and production infrastructure.
- Ability to independently analyze technical problems, evaluate trade-offs, and develop informed product decisions in close collaboration with engineers.
- Experience working with B2B or enterprise customers, particularly technical buyers.
- Excellent communication and stakeholder management skills across engineering, research, sales, support, and leadership.
- Strong written communication skills, including experience preparing clear PRDs, RFCs, release notes, and technical product documentation.
- Ability to manage expectations, prioritize competing needs, and maintain alignment across cross-functional teams.
- Comfort working in a fast-moving environment where product scope, technology, and customer requirements can change quickly.
- Strong analytical thinking and a customer-focused approach to product development.
Additional experience that would be an advantage
- Experience with model post-training, including training draft models.
- Experience establishing and managing third-party technical partnerships.
What we offer
- Competitive base salary: Annual compensation ranging from $228,000 to $285,000, depending on experience, skills, qualifications, hiring level, and geographic location.
- Comprehensive health coverage: Medical, dental, and vision insurance fully paid by the employer for employees and their families.
- Retirement savings: 401(k) plan with an employer match of up to 4%, with immediate vesting.
- Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Remote work support: Monthly reimbursement of up to $85 for mobile and internet expenses.
- Insurance protection: Employer-paid short-term disability, long-term disability, and life insurance coverage.
- Career development: Opportunities for professional growth, continuous learning, and skill development.
- Flexibility and ownership: A remote working arrangement that encourages autonomy and accountability.
- Collaborative culture: Work alongside talented international teams in an innovative, fast-moving environment.
- Meaningful impact: Contribute to advanced AI infrastructure and help shape the future of large-scale AI applications.
Other
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