Pathfinder is Intuit's intent-based AI test automation platform — natural-language prompts executed by autonomous agents against live applications, with 1M+ E2E runs recorded and 18+ teams building on it across TurboTax and beyond. We're moving from a proven platform into the next phase: PRD-to-test generation, Figma-to-test generation, and full SDLC integration for auto-generated tests. This is greenfield problem space, not a known pattern with reference implementations to lean on.
We're looking for a Senior Software Engineer to own the layer that determines whether Pathfinder scales: multi-agent execution orchestration and cross-platform execution caching. This is the kind of person who treats an LLM rate limit not as a blocker to escalate but as a system design problem to solve — someone fluent in building with AI, not just building AI features, who can reason about agentic execution patterns, cost/performance tradeoffs, and orchestration architecture with no existing playbook to reference. You'll be hands-on 80-90% of the time,
architecting and shipping the infrastructure that lets autonomous agents run reliably at scale, while setting technical direction for a small team solving problems nobody has solved before.
This role suits a builder — someone who prototypes rapid, is comfortable being wrong in week one and right by week three, and treats ambiguity as the interesting part of the job rather than a reason to wait for more clarity.
Responsibilities
- Design and build the multi-agent execution orchestration and cross-platform execution-caching infrastructure that Pathfinder's scale and LLM cost efficiency depend on
- Drive significant technical initiatives end-to-end, from functional requirements through technical specification, test planning, and production rollout
- Act as the technical subject matter expert on agentic execution systems — lead a small team through hard, unprecedented programming and design problems
- Prototype and validate proofs