Founding Growth Lead
Hirepluto
San Francisco, CA · Posted October 13, 2026
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About the job
Location: San Francisco, CA
Work Model: In-office (5 days per week)
Industry: AI inference infrastructure
Compensation: Competitive salary
About the Company
Our partner is an AI inference company delivering the fastest inference on open models, serving enterprise and serverless customers on its own GPUs. The team is small, around seven people, already at roughly $10M ARR with large, compute-bound enterprise deals.
The Opportunity
Our partner is hiring its first marketing hire to build the growth function from scratch. There is no pre-built strategy, process, or set of assets: you will define them. The core of the job is translating engineering results, from models and inference to latency, throughput, and GPU infrastructure, into market-facing content and launches.
You will move between strategy, creative work, project management, and execution, working directly with founders, engineers, customers, and external partners in person with a small team in San Francisco.
Responsibilities
Build the marketing and growth function from the ground up
Translate technical and engineering results into compelling market-facing content
Plan and run product launches and announcements
Drive founder-led social, technical content, and community efforts
Plan and execute events and support media relations
Use data to measure marketing effectiveness and sharpen decisions
Requirements
3+ years in marketing, growth, communications, content, community, or a similarly broad role
Experience in an early-stage environment with no pre-built strategy, process, or assets
Exceptional writing, with a portfolio of work you personally created
Strong taste and judgment on messaging, content, and creative quality
Proactive and organized, comfortable working directly with founders, engineers, and customers
Willing to work in person in San Francisco
Bonus: AI infrastructure or developer-tools experience, design, video, or marketing automation skills, and curiosity about models and GPU infrastructure