Are you a skilled developer excited to build at the frontier of AI-native software development? We're hiring an experienced developer to shape the future of our AI engine for impact intelligence — full-stack by default, but we care more about analytic skills, good judgment, and AI-fluency than about a specific stack.
You'll work across the platform, from data pipelines, APIs, and ML/LLM systems to the product surfaces our customers use, and you'll be expected to pick up whatever the problem requires.
At Upright, you get to work on a product that actually matters: the world's largest open-access database on company impact, used by 1,000+ institutional investors and corporations to make real capital allocation decisions.
What makes the role unusual is how we build today. Over the past six months, we have rebuilt a large part of our development workflow around AI agents, including our in-house Slack-native agent "Upbot", which now autonomously handles a meaningful share of bug fixes, feature development, dev-environment management, data QA, data refreshes, and other engineering chores that used to require a human.
As a developer at Upright, you spend much less time on repetitive plumbing and much more time designing systems, writing the hard parts, and teaching agents to do the rest well. We're betting heavily on AI-native engineering, and you'd be joining a small, senior team where your work on both the product and the agentic tooling around it is visible from day one.

At least 4 years of professional experience in software engineering or a closely related technical field.
Strong track record of shipping product features end-to-end, backend, data, and UI, and operating them in production. Python and TypeScript are our primary languages.
Strong generalist instincts: you move comfortably between backend services, data, and LLM-assisted pipelines, and the UI, and you pick up new domains quickly.
Comfortable collaborating closely with non-engineering domain experts (sustainability researchers, analysts, customers) and turning expert judgment into structured, shippable software.
Strong output orientation and common sense thinking to enable solving hard-to-define problems, as well as the ability to see the big picture and prioritize work accordingly.
Strong analytical thinking. You reach for the right tool (a well-designed service, a clean schema change, an LLM-assisted step, or just a well-placed SQL query) instead of defaulting to one.
Eager to work with LLM-assisted features, prompts, structured outputs, retrieval, evals, even if you don't consider yourself an ML specialist. Bonus if you already work with coding agents (Claude Code, Cursor, etc.) day to day.
Solid track record of internal passion for excellence: you have gotten things done clearly better than what was required, because you enjoy doing things well.

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 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.

Member of Technical Staff – Product Builder

Key skills