AI Engineering Systems Lead

The Role

You own the internal systems that let Rootstock engineers — and our agents — ship production Salesforce code fast and ship it correct.

What You'll Actually Build

• Autonomous coding pipelines. A bugfix pipeline already turns a Jira ticket into a reviewed Apex/LWC pull request, with an observability layer that scores every run.
  • You'll deepen it, widen it to new pipeline types, and raise the bar on how autonomously and reliably it ships.
• A root-cause engine, and the evals that keep it honest. One of our most important tools investigates a bug across multiple repos and millions of lines of code to find the actual root cause, grounded in a continuously built specification corpus. Evals run constantly — we pit the current generation against candidate generations and against fixes real engineers actually shipped.
  • You'll own it and keep pushing it forward.
• A 'Constitution' of enforced architecture. We maintain foundational architectural decision records that bind every repo, on a single thesis: every principle must have a deterministic enforcement seam — a type, a startup check, a CI test, or a hook — never just a doc.
  • You'll extend this and the runtime that enforces it across the Claude Code session lifecycle.
• TDD tooling that actually changes behavior. A local in-memory Apex test runner lets engineers run the red-green-refactor loop without deploying to an org.
  • You'll build the tooling that makes test-first the path of least resistance, for humans and agents alike.
• The guardrails. A suite of quality and safety hooks that format, scan, and block bad edits before they land, plus the PR gate that runs the full scanner suite.
  • You'll decide what the next generation looks like.

Who We're Looking For

• A strong systems and types thinker. You reach for the type system, the lint rule, or the CI test to make a class of bugs unrepresentable, rather than writing a paragraph in a style guide.
• Real fluency with AI-assisted and agentic development. You've built with agents, you have opinions about where they break, and you've designed around their failure modes.
• Solid programming fundamentals. Competence in Java, JavaScript, or something comparable translates well — strong engineers pick up the rest.
• Comfort building developer tooling, CI/CD, and orchestration: hooks, pipelines, observability.
• You like making other engineers faster.

How We Work

• We do genuinely new things, and new things fail often. We expect to chase ten ideas and have seven hit dead ends. Nobody gets punished for a smart bet that didn't pay off — the job is to run the experiment, learn from it, share what you found, and keep moving.
• We write up our dead ends openly, because a well-understood failure shapes the next decision as much as a win does, often more.
• We care as much about raising the whole team as we do about shipping the next tool. People here treat helping a teammate level up on AI as the fun part, not a tax on their time.
• No egos. We push each other to get sharper.

The Basics

• Location: Remote, US-based
• Visa Sponsorship: This position requires authorization to work in the US; we are unable to provide visa sponsorship, including H-1B.
• Compensation: Base salary, annual bonus, and a long-term incentive plan (LTIP). We set the level by experience — show us what you've built. Your work has a direct line to the LTIP upside.
• Tooling: Claude license, full access to Salesforce's AI tooling, approved API spend, and budget for local model experimentation. We don't want cost to be the reason you didn't try something.

How to Apply

Send us the work — repos, demos, write-ups, the proof of concept you couldn't stop tinkering with. A link to something real is worth more than a polished résumé. Please include your desired salary range.

Equal Opportunity Employer

We evaluate all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected-veteran status, or any other characteristic protected by law.