Senior Product Engineer (Full-Stack)

Posted 6 Hours Ago
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San Francisco, CA, USA
Hybrid
300K-350K Annually
Senior level
Artificial Intelligence • Machine Learning • Software • Generative AI
The Role
Own end-to-end product features for an AI-native creative platform: design UX, build frontend (React/Next.js), implement scalable backend/APIs, data models (SQL/NoSQL), async AI inference pipelines, mentor engineers, and drive architecture and product trade-offs.
Summary Generated by Built In
Senior Product Engineer (North America)🎨 About OpenArt

OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We’re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination.
We believe the future of creativity is AI-native, and we're shaping that future.

🚀 Why Join OpenArt
  • Small team, massive surface area, senior engineers own real systems, not slices.

  • Ship at real scale, your work goes to millions of users, fast.

  • Founder-led engineering culture, both founders are technical and deeply involved in product and architecture.

  • AI-native product, you’ll design how cutting-edge AI models are exposed as real user experiences.

  • High ownership, low process, we value judgment, clarity, and speed over bureaucracy.

🎯 About the Role

We’re looking for a Senior Product Engineer (Full-Stack) who can own complex, user-facing systems end-to-end, from product definition and UX trade-offs to backend architecture and data modeling.
This is not a role for specialists who only live in one layer. You should be comfortable working on frontend UX, backend systems, APIs, and data schemas, and making pragmatic decisions that balance product velocity, scalability, and long-term maintainability.

You will work closely with the founders to design, build, and evolve core AI-powered workflows, and act as a technical and product multiplier for the team.

🛠 What You’ll Do
  • Own complex product features end-to-end, from product concept → UX → backend systems → production launch.

  • Design and build scalable backend architectures, including APIs, async pipelines, and AI inference workflows.

  • Lead system design for new features, including performance, reliability, and extensibility considerations.

  • Design clean, scalable data models across multiple storage systems (SQL & NoSQL).

  • Build high-quality frontend experiences using React / Next.js with strong UX and performance sensibility.

  • Make informed trade-offs between speed, correctness, and scalability, and explain those trade-offs clearly.

  • Partner closely with Product, Design, and GTM to translate user needs into technical solutions.

  • Mentor junior engineers and raise the overall engineering bar through code reviews and technical guidance.

  • Act as a senior technical voice, influencing architecture, tooling, and engineering best practices.

  • Occasionally represent engineering decisions externally or act as the CTO’s delegate when needed.

What We’re Looking For

Core Requirements

  • Strong Full-Stack engineering experience shipping production systems at scale.

  • Proven ability to design and implement end-to-end features independently.

  • Excellent system design skills, you can reason about APIs, services, data flow, and failure modes.

  • Strong experience designing data schemas and data models for real product use cases.

  • Hands-on experience with multiple database types, such as:

    • Relational databases (e.g. PostgreSQL, MySQL)

    • NoSQL / KV stores (e.g. Redis, Firestore)

  • Solid backend experience with Node.js and/or Python, including async workflows and integrations.

  • Strong frontend skills with React / Next.js, and an eye for product polish.

  • High product intuition, you think in user flows, not just endpoints.

  • Ability to operate with ambiguity and define problems before solving them.

Nice to Have

  • Experience working on AI-powered or data-heavy products.

  • Familiarity with cloud-native architecture (GCP, serverless, containers).

  • Experience designing systems that balance real-time UX with async processing.

  • Prior startup experience or experience owning large surface-area features.

Tech Stack You’ll Work With

React / Next.js, Node.js, TypeScript, Python, GCP, Cloud Run, Modal, Firebase, Redis, Upstash

💰 Compensation
  • ~$300k total compensation including base salary, bonus, equity

  • Equity - meaningful ownership in what you build

  • High autonomy, high growth environment

🌍 Work Setup
  • Bay Area preferred (hybrid allowed)

  • Visa sponsorship available

  • We’ll consider remote

🎯 What Success Looks Like in 3–6 Months
  • You’ve shipped multiple features that users love.

  • You’ve launched at least one AI-powered user flow end-to-end.

  • You’ve formed a tight feedback loop with design, founders, and real users.

  • You’re pushing ideas, not waiting for specs.

  • You're a key voice in shaping the product and engineering roadmap.

If you're excited about building magical AI experiences and want to own real product impact from day one, we'd love to talk.

Skills Required

  • Full-stack engineering experience shipping production systems at scale
  • Ability to design and implement end-to-end features independently
  • Excellent system design skills (APIs, services, data flow, failure modes)
  • Experience designing data schemas and data models for product use cases
  • Hands-on experience with relational and NoSQL databases (PostgreSQL, MySQL, Redis, Firestore)
  • Backend experience with Node.js and/or Python including async workflows and integrations
  • Frontend experience with React and Next.js and strong product/UX sensibility
  • High product intuition and ability to operate with ambiguity
  • Mentoring junior engineers and providing technical leadership
  • Experience with AI-powered or data-heavy products
  • Familiarity with cloud-native architecture (GCP, serverless, containers)
  • Experience designing systems balancing real-time UX with async processing
  • Prior startup experience or owning large surface-area features
Am I A Good Fit?
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The Company
20 Employees
Year Founded: 2022

What We Do

OpenArt is a San Francisco-based AI creativity platform that enables users to generate, edit, and explore images, videos, characters, and audio using advanced AI models. Founded by ex-Googlers, the company's mission is to build the future of storytelling with AI, providing tools that make high-quality generative art and content creation accessible to both hobbyists and professional creators worldwide.

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