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About the Role
As a GTM Engineer at Applied Compute, you’ll specialize in building software and agent automations for customer relationship management or leading customer discovery and use-case scoping for model post-training engagements. Your responsibilities will focus on one primary area based on your strengths and team needs, requiring a strong engineering foundation, ownership, and the ability to connect technical work to customer and business needs.
Responsibilities
- Build agents and automations for account intelligence, outbound, and GTM workflows
- Build integrations across CRM, communication tools, meeting transcripts, and external data sources
- Take systems from initial idea through daily use, including testing, monitoring, and documentation
- Lead discovery and qualify post-training opportunities
- Define data, evaluation, and deployment requirements for post-training engagements
- Develop technical proposals and success criteria
- Answer customer questions and coordinate handoffs to applied research engineers or the platform team
- Explain the platform and recommend approaches
- Address technical questions about model selection, training, inference, and integration
Requirements
- Prior professional experience as a software engineer or machine learning engineer
- Experience 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
- Ownership from problem definition through execution
Skills
- Building reliable software
- LLM automations
- Technical discovery
- Scoping
- CRM integrations
- Communication tool integrations
- Meeting transcript analysis
- Testing
- Monitoring
- Documentation
- Technical proposals
- Customer communication
- Model selection
- Model training
- Model inference
- Model integration
Location
- San Francisco
Work Type
- Onsite
Experience Level
- Professional experience
Salary/Compensations
- Competitive compensation and equity
Benefits
- 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
- Visa sponsorship
About the Company
- Applied Compute builds Specific Intelligence for the enterprise, providing infrastructure and expertise for companies to post-train and serve open-weight models tailored to their proprietary data, institutional knowledge, and workflows.
- 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.
- We are product-led, research-enabled, and forward-deployed.
- We’re a team of engineers, researchers, and operators, many of whom are former founders.
- Team members have experience building 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 backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.
- We’re looking for people 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 organizations.
- Former founders, people who’ve built a lot of side projects, or anyone who’s shown they can own something end-to-end tend to do well here.
Equal Opportunity
- 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.