Founding Go-To-Market Lead

Rockstar • San Francisco, CA

14d

About The Position

Rockstar is recruiting for a company 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 a 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, the candidate will define the categories they play in, craft narratives that move markets, and build the top-of-funnel engine for the company. They 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.

Requirements

• Technical background (engineering experience or CS degree) with the ability to understand model training workflows, inference pipelines, and infra trade-offs.
• GTM experience (pre-sales, PMM, dev advocacy, partnerships, founder-led sales, or similar).
• Exceptional communicator: the candidate can explain complex technical concepts simply, write clearly, and produce content that feels fresh and technically rigorous.
• Personable operator: they enjoy talking to customers, walking conference floors, and representing a brand publicly.
• Scrappy & hands-on: comfortable owning everything from qualifying leads → writing case studies → pitching → running events.

Nice To Haves

• Dev advocacy or community leadership experience.
• Design sensibility — the ability to either create or judge high-quality creative (graphics, videos, diagrams).
• Experience selling or marketing infra, ML platforms, GPU-based products, or dev tools.

Responsibilities

• 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).
• 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 the 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed