Senior Product Manager - Inference Platform

Jobgether; United States; Remote; USD 228,000 - 285,000; Full time

Benefits offered by this job

Health coverage

401(k) with employer match

Paid parental leave

Remote work support

Disability and life insurance

Career development

Flexible remote work arrangement

Collaborative, international team

Meaningful impact on AI infrastructure

Job summary

JobGether is seeking a Senior Product Manager for the Inference Platform to own strategy, roadmap, and measurable outcomes for core capabilities. You will coordinate multiple engineering teams focused on APIs, routing, performance, and enterprise enablement, partnering with research to improve scalability and cost efficiency.

You will translate complex technical concepts into practical product decisions, conduct customer research, and shape opportunities from market signals to prioritized

Qualifications

• Experience launching and managing technical platform products from strategy through delivery and adoption.
• Senior-level PM experience leading multiple engineering teams.
• Strong technical understanding of AI inference, model serving, distributed systems, and production infra.
• Ability to analyze technical problems, evaluate trade-offs, and partner with engineers on decisions.
• Experience working with B2B/enterprise customers, especially technical buyers.
• Excellent written and verbal communication for stakeholders across orgs.
• Proven ability to prepare clear PRDs, RFCs, release notes, and technical docs.
• Ability to manage expectations and align cross-functional teams in a fast-moving environment.

Responsibilities

• Own product strategy, roadmap, and outcomes for a core AI inference platform stream.
• Coordinate cross-functional teams on public APIs, routing, performance, reliability, and enterprise enablement.
• Collaborate with engineering and research to improve scalability, reliability, and cost efficiency.
• Translate complex tech improvements into actionable platform capabilities for developers and enterprises.
• Conduct customer research, interviews, and proofs-of-concept with managed enterprise customers.
• Analyze open-source models, inference economics, and hardware trends to spot opportunities.
• Turn market insights into prioritized product initiatives and strategic investments.
• Communicate direction, requirements, trade-offs across engineering, sales, support, and leadership.
• Create PRDs, RFCs, release notes, and docs to support alignment and delivery.
• Adapt priorities as customer needs and tech conditions evolve.

Skills

Senior-level product management

Launch and manage platform products

AI inference, model serving, distrib.

Enterprise/B2B experience

Stakeholder management & communication

PRDs/RFCs/release notes writing

Cross-functional alignment

Ambiguity navigation

Analytical, customer-focused

Fast-moving environment adaptability

Job description

Accountabilities:

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.

Benefits:

• 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.