Founding GTM Lead at Rockstar

The company is building the AI backbone for the next generation of intelligent products. They help fast-growing AI startups design, fine-tune, evaluate, deploy, and maintain specialized models—across text, vision, and embeddings. 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 customers are Series A–C AI companies building enterprise-grade products. Their promise is simple: they will make your AI system better.

They are hiring their Founding Go-To-Market Lead to own the earliest GTM engine end-to-end—content, events, partnerships, customer development, and product strategy. This is a rare opportunity to go all-in on a deep technical product while shaping the commercial roadmap from day zero.

Why This Role Matters

AI infra today is fragmented, opaque, and largely built for researchers—not product teams. The company is changing that. As the first GTM hire, you will define the categories they play in, craft narratives that move markets, and build the top-of-funnel engine for the company. You will collaborate directly with the founders to shape product direction, pricing, ICP evolution, and ecosystem partnerships (GPUs, model vendors, frameworks, etc).

This is a builder role for someone who wants to operate at the intersection of engineering, product, community, and commercialization.

What You’ll Do

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.
• Bridge product & customer: 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.
• Expand ICP over time: identify adjacent customer segments and shape their upmarket motion.
• Influence product roadmap: help prioritize horizontal (modalities, pipelines) and vertical (“up the stack” into evaluations, agents, monitoring) platform expansion.
• Craft category narrative: 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. They are also open to exceptional new graduates with strong technical or business foundations, especially those who have demonstrated initiative through startups, internships, campus leadership, technical communities, self-directed projects, or other 0→1 environments.
• Strong communicator and highly personable and energized by meeting people, building relationships, attending events, and representing a company publicly.
• Scrappy, experimental, and hands-on. You are excited to test ideas, run A/B experiments, talk to users, write content, lead events, and build systems from scratch.
• Degree in Computer Science, Business, or a related field.
• Based in the U.S. and excited to work onsite in San Francisco.

Nice to Have

• 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.