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Inferact

Open-source LLM inference engine with scalability

Technical Product Marketing Manager

Product MarketingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A 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, large language model infrastructure, artificial intelligence infrastructure, or developer tools.
  • Strong product marketing fundamentals across positioning, messaging, audience definition, narrative development, launches, and practical go-to-market execution.
  • Ability to write and edit technical launch content credible with developers, machine-learning engineers, and infrastructure engineers.
  • Experience working cross-functionally with engineering, product, leadership, design, sales, and external partners.
  • A hands-on execution mindset and ability to build launch systems, templates, and playbooks in a fast-moving startup environment.

Responsibilities

  • Own product marketing for vLLM and Inferact across launches, positioning, technical narratives, partner announcements, and sales enablement.
  • Own launch communications across vLLM and Inferact, including blog content, social copy, partner coordination, and internal readiness checklists.
  • Author at least two launches and publish a launch playbook for engineers and partners.
  • Build competitive teardowns of recent launches and establish a quality bar for future launches.
  • Own positioning and messaging, including personas, competitive talk tracks, and website product pages.
  • Own partnership announcements with ecosystem partners from messaging through launch day.
  • Own the sales collateral kit and standard vLLM and Inferact talk template, and run enablement for engineers presenting externally.
  • Own product messaging, technical product breakdowns, benefits, customer case studies, and supporting go-to-market materials in partnership with go-to-market teams.
  • Present a product marketing plan covering launch tiers, the benchmark program, case study pipeline, and partner relationships.
  • Bring market and customer input into product roadmap and pricing and packaging discussions.
  • Create a structured feedback loop among Marketing, Sales, Product, and Engineering so customer, market, and go-to-market feedback informs product and launch decisions.
  • Build and operationalize a repeatable marketing process for launching vLLM and Inferact content, covering intake, messaging, review, distribution, partner amplification, and post-launch measurement.

Desired Qualifications

  • Deep familiarity with artificial intelligence 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.
  • Experience leading joint go-to-market work with cloud providers, hardware vendors, model companies, or open-source ecosystem partners.
  • A track record of building product marketing programs from zero to one and turning reactive launch work into a proactive roadmap.
  • Direct experience marketing inference, model serving, or other performance-sensitive artificial intelligence infrastructure.
  • Experience launching open-source projects or commercial products built around an open-source ecosystem.
  • Ability to create lightweight technical assets, landing pages, demos, or workflows using modern artificial intelligence and no-code tools.

About the Company

Inferact

Open-source LLM inference engine with scalability

Inferact builds AI inference infrastructure centered on vLLM, an open-source large language model inference engine. It offers a managed inference service for enterprises with serverless deployment, observability, troubleshooting, disaster recovery, and multi-tenant Kubernetes scaling. vLLM uses PagedAttention to optimize GPU memory, lowering costs and latency while preserving model quality, and Inferact supports new architectures and hardware under vendor-neutral governance with PyTorch Foundation. The goal is to commoditize AI inference and deliver a production-ready operating layer for the AI stack.

Company size
11-50
Company stage
Seed
Total funding
$150M
Headquarters
San Francisco, CA
Founded
2025

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