0G Labs is hiring a Product Engineer in Engineering (Remote).
About the Role
We're looking for a product engineer who takes ownership of outcomes, not just assigned tasks. You'll work across 4-5 products with different technology stacks, identify high-value problems, and carry solutions through design, implementation, testing, documentation, delivery, and operation.
Key Responsibilities
- Understand our apps and the 0G stack well enough to improve the shared platform, not only one feature.
- Solve root causes and make durable decisions using shared systems instead of introducing band-aids or
duplicated solutions.
- Own features end-to-end across UI, APIs, server logic, infrastructure, and deployment; do not stop at the layer you are most comfortable in.
- Build and improve AI-agent infrastructure, including LLM streaming, tool orchestration, sandboxed execution, and security boundaries around untrusted code.
- Understand wallet-based identity, signing, embedded and external wallets, and server-side authorization without conflating wallet connection with application access.
- Independently manage dependencies, reviews, blockers, and delivery while raising genuine product decisions and risks early.
- Raise the bar through meaningful tests, sharp PR reviews, and living documentation that stays true to the product.
- Be open to adopting new technologies, AI tools, and better working practices.
- Be reliable enough that when you own an area, the rest of the team can confidently focus on building and expanding other products.
- Treat "done" as delivered, verified, and operating - not merely coded or test-green. Run what you ship with structured logs, traces, metrics, dashboards, alerts, first-line technical support, optimization, and ongoing support for internal teams and external users.
Technical background:
- Strong end-to-end TypeScript and React experience across client, server, API design, and serverless or edge runtimes. Remix, Next.js, Vite, and Cloudflare Workers experience is valuable.
- Experience building LLM-powered products beyond basic API calls, including streaming, tool use, prompt pipelines, agent orchestration, or sandboxed execution.
- Comfortable with web3 application development, wallet authentication, signing, embedded and external wallets, and EVM fundamentals.
- Hands-on experience with infrastructure as code, CI/CD, containers, production observability, and behavior-driven testing.
- Our stack includes pnpm, Terraform, GitHub Actions, Docker, Fly.io, Grafana, OpenTelemetry,Prometheus, Vitest, and Playwright.
Perks & Compensation
- Purpose: The opportunity to contribute to making AI a public good
- Growth: A self-directed environment where you can take initiative to shape your role and career
- Compensation: Market-competitive compensation including, for most roles, exposure to pre-launch tokens
In addition, 0G Labs is committed to the health and well being of all of our team members. To that end, we provide reimbursements towards a set of experiences and courses:
- Core self: Transcendental Meditation
- Mind: Landmark Education
- Emotion: Art of Communication
- Presence: Speech Coach
- Body: Fitness, gym and exercise memberships/classes
About 0G Labs
0G Labs, founded in 2023 by Michael Heinrich, Ming Wu, Fan Long and Thomas Yao in San Francisco, builds 0G, a modular decentralized AI chain designed as an operating system for AI. Its stack combines a high-throughput data availability and storage layer with compute and serving infrastructure, including 0G Storage, 0G DA and 0G Serving for inference and model orchestration. The architecture targets verifiable AI workflows, on-chain model deployment and data provenance without centralized intermediaries. Backed by leading investors and incubated with research partners across Web3 and AI, 0G is building toward mainnet with testnet participation and ecosystem grants. Headquartered in San Francisco with a distributed research and engineering team and Cayman foundation presence, 0G sits at the intersection of cryptography and machine learning. Expect a research-driven culture that values systems engineering, AI openness and shipping performant infrastructure for decentralized intelligence.