Tanagram's mission is to accelerate agentic coding. We're starting by building a tool that captures hard-won lessons buried in codebases, code reviews, incident post-mortems, and Slack chats. We turn those lessons into real-time guardrails that flag or fix risky patterns the moment they reach a pull request — and, eventually, at code generation time — so that teams of people and agents can ship faster and avoid disaster.
We're building a small team of exceptional engineers who are excited about the future of agentic coding and think deeply about codebases from first principles. We're looking for meticulous, high-agency people who have good judgment around what problems to solve, the skills to build a great product around it, and the hunger to iterate towards better versions.
About This Role:You’ll be working across the stack, including our Typescript+React frontend, Python backend, and LLM infrastructure. You should have a good intuition for the right tools to use, and how to configure, combine, and tweak them to deliver the best results for our users.
You bias towards action, and eagerly jump on things (or assign an agent) “now” rather than “later” or “tomorrow”.
We will generally work in-person in San Francisco (our office is in Mission Bay), but are open to remote for the right candidate.
Responsibilities:Talk directly to users: understand their requirements, build what they ask for, ask for their feedback, follow up as needed, and iterate based on what they say.
Craft delightful product interactions.
Eagerly identify and implement improvements to our core foundations (e.g. adding test coverage, clearing performance bottlenecks).
Work closely with founders and design to help come up with high-level product concepts (bonus points: and detailed Figma designs) for how interactions will work.
Other things that may come up from time to time to move our company forward (or keep the lights on).
Share and promote your work publicly (e.g. on Twitter, LinkedIn, Reddit, etc).
Challenging work on enterprise-scale codebases and datasets.
Unlimited token usage for development using Amp.
Top-of-market compensation (and a long runway).
Employee-friendly equity terms (low FMV, early exercise, extended exercise).
Your choice of Macbook Pro + computer/office equipment stipend.
Health, dental, and vision insurance.
Unlimited PTO.
A relatively un-chaotic working environment (we aren't pivoting every week).
An opportunity to lead and define our company.
Experience building 0 to 1 products, either as a founder, or early engineer at a funded startup.
Hands-on experience with the latest AI models, with a strong intuition about model capabilities, the behavioral nuances of each, and how to prompt them to get the best results.
Decisive, clear communication on both technical and strategic matters: at this stage, you'll be helping build the foundations of our company. You should have ideas/opinions about almost everything we do, and you should be forthcoming with your thoughts (even if it means being disagreeable).
Well-crafted, tastefully-design work examples.
Bonus points:
Experience working on programming language tooling: compilers/parsers/indexers (e.g. LLVM, tree-sitter, SCIP) or type systems (e.g. Typescript itself or Sorbet).
Detailed knowledge of Python, Postgres, React, AWS, or similar foundational components.
Experience working with Spline/Rive/Lottie.
Depending on the relevance and amount of your experience:
Salary for this position ranges from $200,000 to $275,000 USD
Equity ranges from 0.5% to 1.5%.
If we move forward with an offer, you will have a choice between more cash or more equity.
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What We Do
We’re specialists in pre-seed and seed. The startups we back go far. Best-in-class founders do not come around every day. When they do, we jump at the opportunity to work together. Our approach is to work with just a small number of best-in-class founders so we can dig in and go deep.
