Product Engineer owning customer-facing areas end-to-end at an AI government contracting platform. Ship daily from whiteboard to production using TypeScript, SvelteKit, Postgres; aggressively leverage AI coding tools; 5+ years full-stack experience required.
180k – 250k/yr
Hybrid5+ YOEFullstack Engineering
About the role
What You'll Do
Take ownership of high-impact product areas and ship customer-facing improvements daily — from whiteboard to production.
Rapidly iterate on UI, UX, and core application logic based on real user feedback and production data.
Decompose ambiguous product goals into clear engineering plans, execute them, and measure outcomes.
Use AI pair-programming tools to 5–10x your productivity, and push the team to do the same.
Monitor production metrics, troubleshoot issues in real time, own the reliability of what you ship, and contribute to the platform architecture decisions that define how the product scales.
Work closely with design, the founding team, customers, and CS to understand pain points, translate feedback into product decisions, and close the loop.
Requirements
5+ years of full-stack engineering with a proven record of shipping customer-facing features end-to-end — real products to real users, not just features inside someone else's architecture.
Strong frontend TypeScript skills with modern frameworks (Svelte/SvelteKit strongly preferred; React/Next.js acceptable).
Hands-on Postgres and backend TypeScript experience — you've designed schemas, written migrations, and optimized queries.
Daily, fluent use of AI coding assistants (Cursor, Claude Code, Windsurf) as a genuine multiplier, not a novelty.
Ability to decompose ambiguous problems into shippable increments and communicate tradeoffs to non-technical stakeholders.
Comfort operating in a fast-moving, early-stage environment where priorities shift and you own the outcome, plus experience with automated testing, CI/CD pipelines, and production monitoring.
Nice-to-Haves
Experience with the AI SDK (Vercel AI SDK or similar), AI-first UX patterns, RAG pipelines, or AI agent architectures.
A background in government contracting, the military, or the intelligence community.
Experience in FedRAMP, IL, HIPAA, or other regulated environments.
Open-source work.
Compensation & Benefits
Base Salary: $180,000 – $250,000
Equity: Meaningful stake in a well-funded, fast-growing startup
Benefits: medical, vision, and dental, unlimited PTO
Brooklyn Navy Yard office, 3+ days a week in person.
Full Stack Software Engineer building privacy-first websites, landing pages, and scalable backend systems for a secure mobile carrier. Focus on resilient connectivity, signaling firewalls, threat detection, and privacy-conscious features using TypeScript/React and Go. Requires 4+ years experience and strong UX intuition.
180k – 235k/yr
Hybrid4+ YOEFullstack Engineering
Software Engineer, Front-End
SalientSan Francisco, CA
Frontend-focused full stack engineer building intuitive UIs and owning features end-to-end for AI agents in regulated financial services. Requires 4+ years production software experience with deep React/TypeScript expertise, strong ownership, and proactive product judgment.
180k – 250k/yr
On-site4+ YOEFullstack Engineering
Full-Stack Engineer, AI Data Platform
LabelboxSan Francisco, CA
Build end-to-end human-in-the-loop AI data platform features for RLHF, evaluation, and LLM-assisted review workflows. Requires 3+ years software/ML engineering experience with React, Python, GraphQL, databases, and GCP/Kubernetes.
180k – 260k/yr
Hybrid5+ YOEFullstack Engineering
Software Engineer
ConductorOneSan Francisco, CA +2
Build and ship full-stack features end-to-end for a horizontal identity platform. Operate independently across frontend, backend, and infrastructure in a high-bar hybrid environment.
180k – 250k/yr
Hybrid5+ YOEFullstack Engineering
Software Engineer
ParadigmSan Francisco, CA
As a Software Engineer, you will be an individual contributor to medium to large projects, designing and deploying distributed services in a production environment. You will leverage your expertise to solve complex problems related to parallelizing agents and optimizing system performance.