Salary - $200,000 - $300,000
What You'll Own
Deploy and embed Judgment Labs' ABM platform and AI components directly into customer codebases and production AI systems
Work inside customer systems to integrate monitoring, evaluation, and agent-facing components into real workflows
Guide customers through technical decisions around agent monitoring, evaluation strategy, and integrating these capabilities into existing production systems
Own multiple customer engagements end-to-end, ensuring successful integration and sustained adoption of monitoring and evaluation systems within production agent workflows
Translate customer feedback into roadmap input that shapes the next set of features
REQUIREMENTS
Must-Have
3-7 years of software engineering experience, with strong product-engineering ability that ships features end to end inside customer codebases
Some form of applied AI experience. (A hard agent requirement and preferred evals requirement are no longer mandatory; a strong engineer with AI-adjacent exposure is preferred over a pure solutions hire.)
Strong customer-facing communication skills: explains complex technical concepts clearly, builds trust with technical and non-technical stakeholders
Comfort deploying AI or LLM-based systems into real production environments
Ability to translate ambiguous customer goals into concrete technical solutions
The Forward-Deployed Engineer role is their genuine first choice, not a fallback for another role
Based in SF or willing to relocate. 5 days in person.
Wants to be a technical founder in the future
Nice-to-Have
Strong engineering pedigree from a solid product company (e.g. Roblox, Snapchat, Tesla). Top-tier infra bar (e.g. Databricks) is a bonus, not a requirement
Prior agent or applied-AI work
Prior evals, observability, or behavior-monitoring product experience (heavily preferred)
Prior forward-deployed or solutions engineering experience
Prior 0-1 startup experience as an early hire
Founder background or strong founder-to-be signal
4-5+ years of experience tends to perform best (stronger comms and interview pass rate); exceptionally strong candidates 1-2 years out of school still considered case-by-case
Comfort across the full stack with backend/infra weight
We work in person in San Francisco. We're open to sponsoring truly exceptional candidates on a case-by-case basis, but our main scope will be candidates who don't require this.
