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Datacurve

Datacurve is hiring: Product Engineer in San Francisco

Datacurve, San Francisco, CA, US

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Shipd is our gamified data collection platform that transforms boring annotation into an addictive, competitive experience. 16,000+ contributors have signed up organically because “nerds want to get paid to code.” With quest-based campaigns, bounty rewards, streaks, and community features, Shipd aims to attract the best talent for complex data production. Now we’re looking for a Product Engineer to help us scale the platform into the “Duolingo for coding bounties” or “Kaggle but paid”.

What You’ll Do

  • Build the Quest Builder ** Create reusable components, UI generators, and multi‑step pipelines that shrink quest setup from a week to a day.

  • Own developer experience * Extend our VS Code fork, browser extension (Moody Blues), and trace viewer to capture long‑form coding workflows with full observability.

  • Scale the data * Design features that make the platform engaging enough to bring friends, raise quality through competition, and support any data format without starting from scratch.

  • Engineer quality at * Improve our three‑tier eval system (automation, judge models, human review), build real‑time feedback, and empower top contributors to become reviewers.

  • Ship addictive * Blend game mechanics, developer tools, and marketplace dynamics into products that make hours‑long data tasks feel rewarding.

You’ll Succeed Here If You Have

  • Strong product engineering experience —you can own features end‑to‑end across frontend, backend, and data.

  • A knack for building systems that scale —infrastructure, pipelines, and abstractions that work across many use cases.

  • Experience with developer tools (e.g., IDEs, extensions, SDKs, CLIs) or platforms with heavy telemetry/observability.

  • Curiosity about game design, marketplaces, or community products —how to keep people motivated and engaged.

  • Excellent communication and product sense—you can frame trade‑offs clearly and design with both users and internal teams in mind.

  • Comfort with ambiguity—happy to prototype, iterate fast, and pivot based on feedback.

Characteristics We’re Looking For

  • Builder’s ** scrappy, resourceful, motivated by hard problems.

  • Excited by human‑AI collaboration and how product design shapes outcomes.

  • Pride in ***** you care about both quality and speed.

  • Desire to help define the “experience foundations” for frontier data collection.

Nice to Have

  • Experience in AI/ML, crowdsourcing platforms, or online education/gamification.

  • Familiarity with marketplace dynamics or contributor ecosystems.

  • Background in scaling evaluation or quality systems for complex work.

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