Startups · AI

GTM AI Engineering

Applied Compute · San Francisco · On-site

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About Applied Compute

Specific Intelligence for Your Business. Backed by Kleiner Perkins and Lux.

About the role

Build agents and applications for GTM workflows. Develop systems for account research, prospect discovery, outreach personalization, inbound qualification, and pipeline reporting. Build the data foundation. Connect our CRM, communication tools, meeting transcripts, and external data sources. Make account and contact information accurate, current, and accessible to the people and agents that need it. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Prior professional experience as a software engineer or machine learning engineer, building and maintaining production systems on an engineering team
  • Strong programming skills in Python or TypeScript, with experience working with APIs, databases, and integrations
  • Hands-on experience building with LLMs, including tool use, agent workflows, and evaluations
  • Comfort working with SQL and messy data, including reconciling information across multiple sources
  • Strong engineering judgment: you can ship quickly while keeping systems understandable, testable, and maintainable
  • Ownership and product sense. You can turn an ambiguous business problem into a useful tool, work directly with its users, and improve it based on evidence
More about this role

As a GTM AI Engineer at Applied Compute, you’ll build the software, agents, and data infrastructure that power our go-to-market engine. Your systems will help us identify promising accounts, reach the right people, and turn information from across our business into actionable insights.

This is a software engineering role dedicated to our internal GTM systems. You’ll spend your time designing, coding, deploying, and improving tools our team uses every day. You’ll own projects from problem definition through production, with responsibility for their architecture, reliability, and business impact.

You’ll work closely with our GTM team to understand their workflows, prioritize what to build, and improve the systems as the company grows.

Build agents and applications for GTM workflows. Develop systems for account research, prospect discovery, outreach personalization, inbound qualification, and pipeline reporting.

Build the data foundation. Connect our CRM, communication tools, meeting transcripts, and external data sources. Make account and contact information accurate, current, and accessible to the people and agents that need it.

Turn recurring work into reusable software. Identify...

Read the full posting on Applied Compute's site ↗

GTM and Ops

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