Inferact
Technical Product Marketing Manager
San Francisco
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odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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The bottom of this range ($30,000) is below the Level I prevailing wage of $148,387. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Marketing Managers (11-2021) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster.
- Bring market and customer input into the product roadmap and pricing and packaging discussions.
Responsibilities
- This is a hands-on role for someone who can translate complex AI infrastructure into credible developer-facing messaging, work directly with engineers and ecosystem partners, and build repeatable launch systems that scale.
- You will own day-0 launch communications, product positioning, the benchmark narrative, customer proof, and the forward product marketing roadmap.
- Ship at least two launches as primary author and publish a launch playbook that engineers and partners can follow without additional direction.
- Build a competitive teardown of recent launches and use it to establish the quality bar for future launches.
- Own positioning and messaging, including personas, competitive talk tracks, and website product pages.
- Own partnership announcements with ecosystem partners such as Google, AMD, and NVIDIA from messaging through launch day.
- Build and operationalize a repeatable marketing process for launching vLLM and Inferact content, covering intake, messaging, review, distribution, partner amplification, and post-launch measurement.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical discipline, or equivalent experience as an engineer or developer.
- Experience owning product marketing or developer relations for open-source software, LLM infrastructure, AI infrastructure, or developer tools.
- Ability to write and edit technical launch content that is credible with developers, ML engineers, and infrastructure engineers.
Nice to have
- Deep familiarity with AI infrastructure, model serving, vLLM, open-source infrastructure, cloud platforms, or GPU ecosystems.
- Experience owning benchmark narratives, technical product pages, customer case studies, or developer-facing sales enablement.
- Direct experience marketing inference, model serving, or other performance-sensitive AI infrastructure.
- Experience launching open-source projects or commercial products built around an open-source ecosystem.
- Compensation: Compensation determined based on background, skills, and experience.
- Visa sponsorship: We sponsor visas on a case-by-case basis.
Skills
- Skills and Qualifications
Compensation
- Compensation determined based on background, skills, and experience.
- Offers include competitive base salary & meaningful equity.
Benefits
- Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.
- Own product messaging across vLLM and Inferact, including technical product breakdowns, benefits, customer case studies, and supporting GTM materials in close partnership with GTM teams.
Company info
- Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build.
- We're looking for a Technical Product Marketing Manager to own product marketing for vLLM and Inferact across launches, positioning, technical narratives, partner announcements, and sales enablement.
Visa & Work Authorization
- We sponsor visas on a case-by-case basis.
This listing is sourced directly from Inferact's careers page and normalized into a canonical job model.