About the role
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
The U.S. base salary range for this full-time position is $160,000-$240,000. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.
What they ask for
- Prior professional experience as a software or machine learning engineer on production systems
- Strength in building reliable software and LLM automations, or in leading technical discovery and scoping
- Nice to have: ability to flex between coding and customer-facing work
About Applied Compute
About the company: Applied Compute builds 'Specific Intelligence' for the enterprise: continual-learning infrastructure for companies to build agent workforces trained on proprietary data. The company says it works with F50 customers and is backed by Kleiner Perkins, Benchmark, Sequoia, Lux and Greenoaks. Headcount: not disclosed.
Why this role: You either build software and agent automations for account intelligence, outbound and GTM workflows, or lead customer discovery and scoping for model post-training engagements. In-office in San Francisco (Mission); the company says it sponsors visas.
Original listing
Source: https://jobs.ashbyhq.com/applied%20compute/52de2d5f-564d-44d5-a055-8b865e77b93d (checked 2026-10-15). Pay on the listing: USD 160,000-240,000.