GTM Engineer
Applied Compute14 hours ago
Responsibilities
- Build agents and automations for account intelligence, outbound, and go-to-market workflows.
- Integrate CRM, communication tools, meeting transcripts, and external data sources.
- Take systems from concept through daily use with testing, monitoring, and documentation.
- Lead customer discovery, qualify post-training opportunities, and define data, evaluation, and deployment requirements.
- Develop technical proposals, success criteria, customer responses, and handoffs to applied research or platform teams.
- Explain the platform and advise customers on model selection, training, inference, and integration.
Requirements
- Prior professional experience as a software engineer or machine learning engineer building and maintaining production systems on an engineering team.
- Strength in reliable software and LLM automations or in technical customer discovery and scoping.
- Strong technical judgment, clear communication, and ownership from problem definition through execution.
- Ability to flex between coding and customer-facing work is preferred.
Benefits
- Competitive compensation and equity.
- 100% employer-paid health insurance coverage.
- Unlimited PTO and paid parental leave.
- Daily lunches and dinners.
- Transportation and relocation support.
- 401(k) with up to a 5% employer match.
- Based in San Francisco with work from the company office in the Mission.
Categories
AI ApplicationsSolutions Engineering
About Applied Compute
Applied Compute builds enterprise AI systems that turn internal knowledge into custom models and deployable agent workforces. Its platform and forward-deployed teams create evals, train models on proprietary data, and run continually learning agents inside customer environments. The company is privately held and headquartered in San Francisco, serving enterprises that want in-house, domain-specific AI rather than generic foundation models.