Software Engineer

GovDash helps businesses win and deliver government contracts that advance American interests. Our AI platform is a single, secure, workflow-driven system for the full contracting lifecycle, from opportunity discovery and capture through proposal execution, award, and post-award operations. We’re building Dash, an AI coworker that takes action across every part of the government contracting workflow to help real businesses be more successful. To date, our customers have won over $15B in awards while using GovDash.

Our engineering team is a tight knit group of incredibly talented people. We’re lean and bias toward action, which allows for a high level of ownership and accountability. We treat our engineering organization as the GovCon AI research lab. We experiment with cutting edge techniques to meet the stringent requirements that the government and our customers demand. The bar is high. We have a unique customer base and complex environments that are FedRAMP certified, support ITAR, or are self-hosted and run in a customer’s cloud. Our team enjoys working with these unique security and compliance constraints and all the complexities that come with them.

• Ship features customers use every day, from design through production.

• Talk to customers and use their insight to guide your prioritization and decision making.

• Build agents that call tools, cite their sources, and show their work.

• Write evals and verify outputs that don’t always seem black and white.

• Take workflows people run by hand and make them autonomous, with verification, traceability, and observability built in.

• Improve how we build: our model harness, our coding agents, our infra, etc.

Everyone we hire:

• Has high agency. You see a problem and fix it without being asked.

• Has a bias to action and works with urgency.

• Brings real effort and drive; we can teach you Typescript, we can’t teach you to care.

• Cares about America and her interests.

Things we look for:

• You've shipped things we can look at: open source, side projects, a portfolio, or something you launched publicly at a company.

• You've written an eval, compared models against each other, or built with coding agents.

• You've taken a loop a person was running and made it mostly run itself. You can show how you know it works.

• You might be a deep specialist in evals, infra, testing, or systems.

Going above and beyond:

• You've owned a large part of a product, or made high-impact contributions across several product areas.

• You've been a lead, done well at a startup like ours, worked on a stack like ours, or written code at big-tech scale.

• You have strong opinions on technical design and product direction, and you can defend them.

• You're fully self-directed. You may lead other engineers.

• Our primary app is written end-to-end in TypeScript and Effect, React and Next.js on the front end, and some Rust in our infrastructure (e.g. agent sandboxes).

• Prisma, tRPC, Postgres, Redis, and Temporal for background workflows.

• Models from OpenAI, Anthropic, and Google, run through our own harness.

• Cursor, Linear, Slack, and Google Workspace.

• Access to Claude Code, Codex, Devin, Grok Bot, etc.

• Capture: finding and qualifying opportunities, and managing pipeline.

• Proposal: drafting and reviewing content with AI that cites its sources and satisfies compliance requirements.

• Contract: deliverables, modifications, and past performance management for active contracts.

• Platform: Dash itself, its sub-agents, automations, and integrations like Microsoft Graph, Salesforce, and Google Drive.

• Data Library: how customer documents and records feed every AI workflow, with the user in control.

• In office 4 days a week in Flatiron with 1 flex day from home.

• Salary: $160,000 – $200,000.

• Equity in a fast growing start up.

• Health, dental, vision insurance.

• 401K & company match.

• Paid time off and off for all federal holidays.

• A collaborative and supportive team culture.

• Dinner on us when you work past 7pm.