Product Engineer

33 Minutes ago • All levels
Product

Job Description

Datacurve AI Inc. is seeking a Product Engineer to scale their gamified data collection platform, Shipd. This role involves building the Quest Builder system, owning developer experience tooling, scaling the data flywheel, engineering quality at scale, and shipping addictive experiences. The platform aims to transform data annotation into an engaging, competitive experience for 16,000+ contributors.
Good 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.
Must Have:
  • Build the Quest Builder system to shrink quest setup from a week to a day.
  • Own developer experience tooling, including VS Code fork and browser extension.
  • Design features to scale the data flywheel, enhancing engagement and quality.
  • Improve the three-tier evaluation system and empower top contributors to become reviewers.
  • Blend game mechanics, developer tools, and marketplace dynamics into addictive products.
  • Strong product engineering experience across frontend, backend, and data.
  • A knack for building systems that scale (infrastructure, pipelines, abstractions).
  • Experience with developer tools (IDEs, extensions, SDKs, CLIs) or platforms with heavy telemetry/observability.
  • Curiosity about game design, marketplaces, or community products.
  • Excellent communication and product sense, framing trade-offs clearly and designing with users and internal teams in mind.
  • Comfort with ambiguity, happy to prototype, iterate fast, and pivot based on feedback.

Add these skills to join the top 1% applicants for this job

communication
game-texts

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 attracts 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 system: Create reusable components, UI generators, and multi-step pipelines that shrink quest setup from a week to a day.
  • Own developer experience tooling: Extend our VS Code fork, browser extension (Moody Blues), and trace viewer to capture long-form coding workflows with full observability.
  • Scale the data flywheel: 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 scale: Improve our three-tier eval system (automation, judge models, human review), build real-time feedback, and empower top contributors to become reviewers.
  • Ship addictive experiences: 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 mindset: scrappy, resourceful, motivated by hard problems.
  • Excited by human-AI collaboration and how product design shapes outcomes.
  • Pride in craft: 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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