Senior Product Manager - Inference Platform

Company shown to members 🔒 · Remote · US only

US onlySenior$228K–285K/yrPublished 5 August 2026Check carefully

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First recorded by Psst: 28 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Senior
Where you can live
US only
Skills and tools
b2b

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Job details

Where you can work
United States
Employment type
Not stated by the employer
Advertised pay
$228K–285K/yr
Experience
Senior
Employer publication date
5 August 2026
First recorded by Psst
28 October 2026
Last checked at the source
10 November 2026

About the job

About the company

The company is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

We’re building the company Token Factory, an AI inference platform for high-performance, cost-efficient workloads at scale, serving both developers and managed enterprise customers. As a Senior/Principal Product Manager, Inference Platform, you’ll join a team of PMs under the Inference Platform lead and own a core platform stream end to end, from strategy and roadmap to launch and adoption. The scope evolves quickly with the market (new models, modalities, hardware and customer needs), with a strong emphasis on scalability and reliability.

You are welcome to work remotely from the US.

Your responsibilities will include

•

Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across advanced model optimization, inference performance, model delivery, reliability, and enterprise features.

•

Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on.

•

Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise.

•

Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets.

We expect you to have

•

Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams.

•

Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them.

•

Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes.

•

B2B/enterprise experience with technical buyers.

•

Comfort with ambiguity and shifting scope

It will be an added bonus if you have

  • Post-training experience, including training draft models.
  • Experience with third-party technical partnerships.

Key employee benefits in the US

  • Health insurance:  100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan:  Up to 4% company match with immediate vesting.
  • Parental leave:  20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote work reimbursement:  Up to $85/month for mobile and internet.
  • Disability & life insurance : Company-paid short-term, long-term and life insurance coverage.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Base Compensation Range

$228,000 — $285,000 USD

Benefits & Perks

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What's it like to work at the company

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement

The company is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

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