Software Engineer

Posted 2 Days Ago
New York, NY, USA
In-Office
160K-200K Annually
Entry level
Artificial Intelligence • Productivity • Software • Defense
The Role
Build and ship customer-facing software across the government contracting lifecycle. Develop AI agents that use tools, cite sources, and automate workflows with verification, traceability, and observability. Create evaluations, improve engineering infrastructure and model harnesses, collaborate directly with customers, and contribute across product areas including proposals, contracts, platform, and data libraries.
Summary Generated by Built In


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.

What you'll do:
  • 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.

Who you are:

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 stack:
  • 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.

Where you might work:
  • 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.

Logistics and comp:
  • 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.

Skills Required

  • High agency, bias toward action, urgency, and strong ownership
  • Ability to ship publicly visible work, such as open source, side projects, a portfolio, or launched company products
  • Experience writing evaluations, comparing models, or building with coding agents
  • Experience automating manual workflows and demonstrating how effectiveness is measured
  • Ability to work with TypeScript and learn or use the company's engineering stack
  • Deep specialization in evaluations, infrastructure, testing, or systems
  • Ownership of a large product area or high-impact contributions across multiple product areas
  • Leadership experience or experience at a startup or large technology company
  • Strong technical design and product direction opinions, with ability to defend them
  • Ability to work fully self-directed and potentially lead other engineers
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The Company
HQ: New York, NY

What We Do

GovDash is an AI-powered platform designed to help businesses win and manage government contracts. It streamlines the entire business development lifecycle, from opportunity identification and capture management to proposal development and contract management. By combining cutting-edge technology with deep industry insights, GovDash empowers government contractors to identify, pursue, and win more opportunities more efficiently.

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