Staff Full Stack Engineer
Goodparty
| Company | Goodparty |
| Category | Engineering |
| Location | Remote (United States) |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 3 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
GoodParty.org is looking for a Staff Full Stack Engineer to help scale frontier AI to empower tens of thousands of Independent candidates and elected officials who are putting people over parties. This is a role for an engineer who nerds out about the latest in AI, tests what actually works, and turns the best ideas into durable, high-impact features for our users.
You will lead technical projects without needing to be a people manager: shaping architecture, setting patterns, building across the stack, and pushing our AI-native products into the hands of civic leaders who are solving real problems for their communities.
About GoodParty.org:
A majority of voters, including more than half of Millennials and Gen Z, say that neither major party represents them. GoodParty.org is the solution.
We're on a mission to make people matter more than money in our democracy by empowering Independent candidates to run, win, and serve.
Since 2024, 13,000+ Independent candidates have won their races across all 50 states using our tools, training, and support. Our AI-powered platform provides free tools to launch and run campaigns, connect with voters, and serve their communities effectively — without needing a political party or big donors. What our users have in common is that they prioritize people over parties and community over special interests. We're not a political party, we're a platform and a movement to democratize democracy.
Founded by serial entrepreneur Farhad Mohit ($1B+ in exits, including Flipagram/TikTok and Shopzilla), GoodParty.org is building solutions so we can have a truly representative democracy where society's biggest problems are solved.
What you'll do:
- Own features end-to-end across the stack — from the Next.js frontend through the NestJS backend and into the Python AI services that power them.
- Set the frontend quality bar for AI-native product surfaces, defining component patterns and UI interaction models for agent-driven, conversational experiences.
- Embed in a product squad as a key voice, partnering with product and design to take features from prototype to production.
- Build and maintain the integration layer between the user-facing product and our Civic Agent Platform — owning the contracts, data shapes, and API boundaries that connect what users see to what agents compute.
- Contribute to the evaluation and quality layer for user-facing AI features, including eval pipelines, golden datasets, and CI gates that catch model failures before they reach users.
- Raise the engineering bar by turning repeated problems and slowdowns into shared infrastructure, reusable patterns, stronger tooling, and better development practices for the team.
- Lead technical conversations across the stack with enough fluency in infrastructure, deployment, and observability to make sensible tradeoffs and escalate the right things.
- Report to the CTO and partner closely with our Principal Engineer and squad Tech Leads.
Who we're looking for:
- You're up for the audacious challenge of driving money out of politics and democratizing democracy.
- You thrive in a remote, fast-paced environment, balancing strategic thinking with a strong bias toward action.
- You bring 10+ years of engineering experience, with at least 3 years at Staff level or equivalent scope owning full stack product delivery.
- You are genuinely full stack — comfortable and productive in Next.js/React on the frontend and NestJS/TypeScript on the backend, and you don't have a preference layer you silently avoid.
- You walk the talk by using AI-native approaches (e.g. AI writes the code) yourself for coding, including Claude Code, Cursor, and MCPs.
- You have deep working knowledge of building cloud infrastructure (especially on AWS) and using infrastructure-as-code tools.
- You have shipped production LLM-powered features as a full stack engineer and understand the UI challenges of agentic systems: latency, streaming,
You found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →