OpenArt Logo

OpenArt

Senior Product Engineer (Full-Stack)

Posted 4 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
300K-350K Annually
Senior level
Hybrid
San Francisco, CA, USA
300K-350K Annually
Senior level
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.
The summary above was generated by AI
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.

Similar Jobs

22 Days Ago
In-Office
Mountain View, CA, USA
174K-261K Annually
Senior level
174K-261K Annually
Senior level
Artificial Intelligence • Greentech • Hardware • Internet of Things • Transportation • Cybersecurity • Automation
Translate multi-modal AI research into production products and prototypes. Define front-end and back-end system strategy, build full-stack external and internal systems, and leverage AI tooling for development. Collaborate with small teams, lead engineering efforts, and work with external partners to drive early-stage product development.
Top Skills: Ai Code Generation ToolsGoogle Cloud PlatformJavaScriptReactTailwindTypescriptUi Test Automation FrameworksVite
17 Days Ago
In-Office or Remote
California, USA
149K-260K Annually
Senior level
149K-260K Annually
Senior level
Cloud • Software
As a Senior/Lead Software Engineer, you'll develop full-stack product features, focusing on AI integration and user experience, while collaborating with cross-functional teams.
Top Skills: AIAWSEmbeddingsLlmsMlPostgresRuby on RailsReact
2 Minutes Ago
In-Office
19-19 Hourly
Entry level
19-19 Hourly
Entry level
Manufacturing
Pick, retrieve, and update inventory of order items using barcodes/SKUs; replenish and manage stock; perform general warehouse duties; lift up to 50 lbs; follow safety procedures and multitask in a fast-paced environment.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account