Rockstar 3

Founding GTM Lead

San Francisco, California, United States

Sponsorship not specifiedDetected 43 days ago

Full-Stack DevelopmentAWSCloud PlatformsMachine LearningProduct ManagementProduct StrategyBusiness DevelopmentLeadership

About the role

Think of them as "AWS for AI models" rather than data/compute: a full-stack backend for fine-tuning, RL, inference, and long-term model maintenance.
Their promise is simple: they will make your AI system better.

Execution (0→1 GTM Buildout) Own top-of-funnel growth: identify, qualify, and nurture early customer segments (Series A-C AI startups, infra-heavy teams, enterprise ML teams).
Create technical content that converts: author deep-dive case studies, benchmarks, architecture posts, and thought-leadership pieces that resonate with technical founders and ML engineers.
Lead event & community presence: attend and speak at AI meetups, infra conferences, and ecosystem gatherings; represent the company as a personable, technically credible voice.
Manage GPU/ecosystem partnerships: collaborate with GPU providers, cloud partners, and model ecosystem vendors to drive co-marketing and co-selling opportunities.
The company is building the AI backbone for the next generation of intelligent products.
Their customers are Series A-C AI companies building enterprise-grade products.

Required Early-career GTM, business development, startup operations, pre-sales, product marketing, partnerships, dev advocacy, founder, or founding team experience.

Experience working with or around AI, ML infrastructure, developer tools, cloud infrastructure, data infrastructure, or other technical B2B products.
Experience creating or evaluating high-quality creative assets, including graphics, videos, diagrams, decks, technical explainers, or event materials.
Existing network or strong interest in the San Francisco AI, startup, developer, or founder ecosystem.
help position the company as the AI infra layer powering specialized models.
Who You Are Required Early-career GTM, business development, startup operations, pre-sales, product marketing, partnerships, dev advocacy, founder, or founding team experience.
Scrappy, experimental, and hands-on.
Degree in Computer Science, Business, or a related field.
Nice to Have Experience working with or around AI, ML infrastructure, developer tools, cloud infrastructure, data infrastructure, or other technical B2B products.

they will make your AI system better.
This is a rare opportunity to go all-in on a deep technical product while shaping the commercial roadmap from day zero.
The company is changing that.
Execution (0→1

They help fast-growing AI startups design, fine-tune, evaluate, deploy, and maintain specialized models-across text, vision, and embeddings.

attend and speak at AI meetups, infra conferences, and ecosystem gatherings; represent the company as a personable, technically credible voice.
deeply understand the company's capabilities and help prospects map their infra to their model strategy (fine-tuning → RL → pre-training).
Strategy (Shaping the Company) Define pricing & packaging for model-centric customers-across fine-tuning, RL workflows, inference, maintenance, evaluation, and platform usage.

This listing is sourced directly from Rockstar 3's careers page and normalized into a canonical job model.