As a GTM Engineer at Applied Compute, you’ll specialize in one of two areas: building software and agent automations that help us find, win, and grow customer relationships, or leading customer discovery and use‑case scoping for model post‑training engagements. Your day‑to‑day responsibilities will center on one primary focus, based on your strengths and the team’s needs.
Both focus areas call for a strong engineering foundation, ownership, and an ability to connect technical work to customer and business needs.
The following responsibilities correspond to the specialization area you fit into
Build agents and automations for account intelligence, outbound, and GTM workflows
Build integrations across our CRM, communication tools, meeting transcripts, and external data sources so useful context reaches the right people
Take systems from initial idea through daily use, with testing, monitoring, and documentation that keep them reliable as the team scales
Lead discovery, qualify post‑training opportunities, and define data, evaluation, and deployment requirements
Develop technical proposals and success criteria, answer customer questions, and coordinate handoffs to applied research engineers or our platform team
Explain our platform, recommend approaches, and address technical questions about model selection, training, inference, and integration
Prior professional experience as a software engineer or machine learning engineer, building and maintaining production systems on an engineering team
Strength in either building reliable software and LLM automations or leading technical discovery and scoping
Strong technical judgment, clear communication, and ownership from problem definition through execution
Nice to have: Ability to flex between coding and customer‑facing work
Applied Compute builds Specific Intelligence for the enterprise. We provide the infrastructure and expertise for companies to post‑train and serve open‑weight models tailored to their proprietary data, institutional knowledge, and workflows. Our researchers and applied AI team work directly with customers to define evaluations, train models, and improve performance on the tasks that matter to their business.
Our product team builds the platform for model training and inference. Our research team pushes the frontier of post‑training and reinforcement learning. Our applied AI team works side‑by‑side with customers to turn model improvements into production results. This combination of strong product, deep research, and hands‑on customer work is what we believe it takes to bring AI to the enterprise. We are product‑led, research‑enabled, and forward‑deployed.
We’re a team of engineers, researchers, and operators. Many of us are former founders. We’ve built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.
We’re looking for people who are excited about applying novel research and complex systems to real‑world problems. Our team enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organisations.
This role is based in San Francisco. We work from our office in the Mission. We offer:
Competitive compensation and equity
100% employer-paid health insurance coverage
Unlimited PTO
Paid parental leave
Daily lunches and dinners
Transportation and relocation support
401(k) with up to a 5% employer match
As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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