Shape the future of our AI engine for impact intelligence, working full-stack by default.
Collaborate across the platform, including data pipelines, APIs, and ML/LLM systems.
Build systems and teach AI agents to handle engineering tasks.
Tailored responsibilities based on your background and interests.
Requirements
At least 5 years of professional software development experience as a strong generalist. Our stack is mostly TypeScript/Node and React on the product side and Python on the data and ML/LLM side — we expect deep fluency in at least one of these, and genuine willingness to work across the rest.
Comfort working across the whole software lifecycle — design, development, deployment, and operations.
Working with coding agents (Claude Code, Cursor, etc.) is your default mode, and you're excited to build the architecture, tools, and guardrails that make agentic workflows reliable at scale.
Ability to work autonomously and as part of a team that includes both technical and non-technical stakeholders.
A visible internal standard for excellence — you have a habit of doing things clearly better than what was strictly required.
Experience building distributed, data-intensive products.
Hands-on experience with PostgreSQL, Docker, Linux, and AWS.
Experience designing and shipping LLM-powered features (prompt design, evals, tool-use, retrieval, agents).
Strong UI/UX sensibility.
Tech Stack
AWS
Docker
Linux
Node.js
Postgres
Python
React
TypeScript
Benefits
A chance to join a quickly growing and highly ambitious impact SaaS company with a mission that matters — real capital allocation decisions at 1,000+ institutional investors and corporations rest on the data we build.
A team of exceptional people who are kind, direct, and care deeply about doing the work well.
An unusually AI-forward engineering environment — first-class tooling, in-house agents, and the freedom to keep pushing what "AI-native development" actually means in practice. You'll be shaping the workflow, not inheriting it.
Substantial autonomy and ownership from day one, with lots of room to grow.
Competitive compensation, including stock options and a comprehensive healthcare package.