--- title: 'Social Media Manager at Inferact' canonical: 'https://feeny.ai/job/social-media-manager-inferact-san-francisco-8265d2aybdpm' type: 'job' last_seen: '2026-10-20' --- # Social Media Manager at Inferact - **Company:** Inferact - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-24 - **Last confirmed live:** 2026-10-20 - **Apply:** https://jobs.ashbyhq.com/inferact/deaf292c-ecce-4cab-be2b-98ba75cd5329 ## Job description ## Overview Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. 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. ## About the Role We're looking for a Social Media Manager to own the daily voice, publishing system, and audience growth strategy for vLLM and Inferact across developer-focused social channels. You will manage brand accounts, founder communications, launch amplification, technical content, and community programming. The role requires strong technical judgment, fast execution, and the ability to make vLLM community content and Inferact company content feel distinct while operating as one coordinated launch system. 30-60-90 Day Milestones 30 Days: Outside Counsel Alignment & Contracting Intake - Take full control of daily posting, scheduling, and replies across the core vLLM and Inferact accounts. - Own the social side of the rebrand launch alongside the website. - Publish a voice guide that clearly separates the vLLM community voice from the Inferact company voice. 60 Days: Frontier AI & Regulatory Strategy - Run the founder program for the founders: Simon, Woosuk, Kaichao, and Roger with ghostwriting, an approval loop, and an agreed publishing cadence. - Launch and test channels such as Hacker News, Instagram, and TikTok using conference clips, event photos, and short technical explainers. - Own the partner amplification network so co-marketing posts are reshared by ecosystem partners on launch day. - Own a recurring video format such as a weekly vLLM feature explainer. 90 Days: Scalable Legal Infrastructure - Build a repeatable social launch system with tiered templates, asset checklists, pre-scheduled cross-posting, partner amplification, and post-launch reporting. - Set follower, engagement, and traffic targets for 2027 by account and channel, and report against them monthly. - Use 60 days of performance data to decide which channels to scale and which to stop. - Propose community programs such as contributor spotlights, creator programs, and employee advocacy, and define future team capacity needs. ## Skills and Qualifications Minimum qualifications: - Proven ownership and growth of developer-focused, open-source, or technical brand accounts across X, LinkedIn, and community channels such as Reddit or Hacker News. - Proven experience writing technical social content and ghostwriting for technology executives or founders. - Strong editorial judgment and ability to translate technical product, engineering, launch, and partner updates into credible social content. - Experience building content calendars, publishing workflows, approval systems, and launch amplification plans across multiple channels. - Ability to engage technical communities directly, respond quickly, and maintain distinct voices across community and company brands. - Comfort operating hands-on in a fast-moving startup environment with high publishing velocity. Preferred qualifications: - Experience with AI, developer tools, cloud, infrastructure, open-source software, or technical SaaS audiences. - Experience running founder social programs, executive ghostwriting, or technical thought leadership programs. - Experience coordinating partner amplification with companies such as cloud providers, hardware vendors, open-source foundations, or developer platforms. - Experience creating short-form technical video, launch assets, performance reporting, and audience growth experiments. Bonus points if you have: - Experience building a social function, creator program, contributor spotlight program, or employee advocacy program from 0 to 1. - Strong familiarity with developer communities and the norms of Hacker News, Reddit, X, and open-source ecosystems. - Ability to use modern AI tools to accelerate drafting, repurposing, research, scheduling, and performance analysis. Logistics - Location: San Francisco, CA (On-site) - Compensation: Compensation determined based on background, skills, and experience. Offers include competitive base salary & meaningful equity. - Visa sponsorship: We sponsor visas on a case-by-case basis. - Benefits: Inferact offers generous health, dental, and vision benefits as well as 401(k) company match. ## About Inferact ## Company Overview - **One-liner**: Inferact is a startup founded by the creators of vLLM, the leading open-source LLM inference engine, dedicated to making AI inference cheaper and faster at global scale. - **Entity Type**: Private (Seed stage; raised $150M in seed funding) - **Headquarters**: San Francisco, California, United States (with a second office in Singapore) - **Founded**: 2025 - **Founders**: Simon Mo (CEO), Woosuk Kwon, Kaichao You (Chief Scientist), Roger Wang, Joseph Gonzalez, Ion Stoica ## Core Business - **Primary industry**: AI infrastructure / open-source inference engine for large language models - **Target customers**: AI labs, hyperscalers, startups, and enterprises deploying large-scale AI models (B2B, primarily technical teams) - **Mission**: Grow vLLM as the world’s AI inference engine and accelerate AI progress by making inference cheaper and faster. ## Products & Services - **vLLM (Open-Source Inference Engine)**: The core product – an open-source LLM inference engine that supports 500+ model architectures and runs on 200+ accelerator types. Inferact stewards and supercharges vLLM, with all optimizations flowing back to the community. - **Managed Inference Infrastructure (in development)**: Inferact is building infrastructure to absorb the complexity of deploying frontier models at scale, aiming to make it as simple as spinning up a serverless database. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding of $150M (seed round, announced 2026) - **Notable Investors/Partners**: Lightspeed Venture Partners (lead), Redpoint Ventures, Andreessen Horowitz, Altimeter Capital, Sequoia Capital, The House Fund, GC&H Investments, and others. Partnerships include NVIDIA, Red Hat, DigitalOcean, and Cohere. - **Growth Signals**: - $150M seed round – one of the largest seed rounds in AI infrastructure. - 22 employees with +27.3% monthly headcount growth. - vLLM ecosystem: 2,000+ contributors, 500+ model architectures, 200+ accelerator types. - Day-zero support for new model architectures (e.g., Cohere’s Command A+) and hardware integrations. - Active hiring with 5 open positions across inference, performance, kernel engineering, and cloud orchestration. ## Competitive Advantages - **Deep ecosystem moat**: vLLM is the de facto standard open-source inference engine, with a massive community and integrations across models and hardware that took years to build. - **Founding team credibility**: Creators and core maintainers of vLLM, with experience deploying at frontier scale (research and production). - **Hardware-software co-optimization**: Positioned at the intersection of model innovation and hardware diversity, enabling day-zero compatibility and performance optimizations. - **Open-source commitment**: All improvements flow back to vLLM, ensuring community trust and rapid adoption. ## Strategic Focus - **Current priorities**: Push vLLM performance further, deepen support for emerging model architectures (MoE, multimodal, agentic), expand hardware coverage (200+ accelerators), and build managed infrastructure to simplify deployment. - **Growth direction**: Close the capability gap between models and serving systems; absorb complexity so teams can focus on innovation rather than infrastructure. ## Why Work Here - **Culture**: High-caliber engineering team with roots in vLLM, PyTorch, and top AI labs. Emphasis on open-source contribution and cutting-edge inference research. - **Work policy**: Hybrid with a San Francisco HQ; at least one open role (Member of Technical Staff, Exceptional Generalist) is listed as Remote. - **Notable perks**: Opportunity to work at the frontier of AI inference, directly impact the open-source ecosystem, and collaborate with partners like NVIDIA, Red Hat, and major AI labs. - **Engineering culture**: Strong focus on systems engineering, kernel optimization, and cloud orchestration – ideal for engineers passionate about performance and infrastructure. ## Sources 1. [inferact.ai](https://inferact.ai/) 2. [LinkedIn](https://www.linkedin.com/company/inferact) 3. [CB Insights](https://www.cbinsights.com/company/inferact) 4. [Sequoia Capital](https://sequoiacap.com/companies/inferact/) 5. [Ashby Jobs](https://jobs.ashbyhq.com/inferact) ## Other roles at Inferact - [Engineering Manager](https://feeny.ai/job/engineering-manager-inferact-san-francisco-6kdpq13rx4ny) — San Francisco, CA - [Strategic Finance Lead](https://feeny.ai/job/strategic-finance-lead-inferact-san-francisco-8w870avftckq) — San Francisco, CA - [Controller](https://feeny.ai/job/controller-inferact-san-francisco-8ccr4mehhhdv) — San Francisco, CA - [Member of Technical Staff, Vulnerability Management](https://feeny.ai/job/member-of-technical-staff-vulnerability-management-inferact-san-francisco-28n91fzms5pv) — San Francisco, CA - [Member of Technical Staff, Forward Deployed Engineer](https://feeny.ai/job/member-of-technical-staff-forward-deployed-engineer-inferact-san-francisco-a1wq0bc1fbfk) — San Francisco, CA - [Enterprise Partnerships Manager](https://feeny.ai/job/enterprise-partnerships-manager-inferact-san-francisco-56fh7h15hft3) — San Francisco, CA - [GTM Engineer](https://feeny.ai/job/gtm-engineer-inferact-san-francisco-4kw95nqkxq2p) — San Francisco, CA - [Graphic Designer](https://feeny.ai/job/graphic-designer-inferact-san-francisco-vrkzf7acr3fg) — San Francisco, CA - [Technical Product Marketing Manager](https://feeny.ai/job/technical-product-marketing-manager-inferact-san-francisco-ts8bahbsbvv7) — San Francisco, CA - [Field Marketing Manager](https://feeny.ai/job/field-marketing-manager-inferact-san-francisco-ve91k1kbsy1y) — San Francisco, CA