GTM Engineer
At a glance
Mid-level Solutions & Sales Engineering role at Applied Compute. San Francisco · full-time.
Pay not stated
growthroles summary, based on the employer's posting.
What you'll do
- Create agents for account research, outbound outreach, and other go-to-market workflows
- Connect CRM, communications, meeting records, and outside data so teams can access useful context
- Test, monitor, and document systems as you take them from concept into everyday use
- For customer-facing work, scope post-training projects, set data and deployment needs, and define success measures
- Explain model and platform options, answer technical questions, and coordinate project handoffs
What you bring
- Professional software or machine learning engineering experience delivering and supporting production systems with an engineering team
- Strength either in dependable software and LLM automation or in technical customer discovery and scoping
- Sound technical judgment, clear communication, and ownership from defining a problem through delivery
Who this fits
The role centers on one of two tracks, chosen around your strengths and team needs: engineering automations or customer discovery and scoping. It suits someone who enjoys working directly with customers and can carry work from initial problem to execution. The job is based at the Mission office in San Francisco.
From the employer
GTM Engineer
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.
Responsibilities
The following responsibilities correspond to the specialization area you fit into
Coding and automation
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
Customer discovery and scoping
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
Qualifications
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
About us
Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use.
Why we’re excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.
Who we are: 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.
Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely 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.
Benefits & Logistics
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 for you and your family
Unlimited PTO
Paid parental leave
Daily lunches and dinners
Transportation and relocation support
5% 401k match
We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. 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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