Senior Product Engineer (North America)
OpenArt is an AI-native storytelling and visual creation platform used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling users to create videos, visuals, characters, and stories fasterand more intuitively than ever.
Why Join OpenArt
- Small team, high ownership — senior engineers own real systems end-to-end
- Ship fast at real scale — your work reaches millions of users
- Founder-led engineering culture with deep product and architectural involvement
- AI-native product — shaping how advanced models become real user experiences
- Low process, high trust — judgment, clarity, and speed matter
About the Role
We're hiring a Senior Product Engineer (Full-Stack) to own complex, user-facing systems end-to-end. This is not a single-layer role — you'll work across frontend UX, backend systems, APIs, and data models, making pragmatic trade-offs between product velocity, scalability, and long-term maintainability.
You'll partner closely with the founders to design, build, and evolve core AI-powered workflows, acting as both a strong technical owner and a product thinker.
What You'll Do
- Own product features from concept and UX through backend systems and production launch
- Design scalable backend architectures, APIs, async pipelines, and AI inference workflows
- Lead system design with a focus on performance, reliability, and extensibility
- Design clean, scalable data models across SQL and NoSQL systems
- Build polished frontend experiences using React / Next.js
- Make and clearly communicate technical trade-offs
- Collaborate closely with Product, Design, and GTM
- Mentor engineers and raise the overall engineering bar
- Influence architecture, tooling, and engineering best practices
What We're Looking For
Core
- Strong full-stack experience shipping production systems at scale
- Ability to independently design and ship end-to-end features
- Strong system design and data modeling skills
- Experience with relational and NoSQL databases (e.g. PostgreSQL, Redis, Firestore)
- Backend experience with Node.js and/or Python
- Frontend experience with React / Next.js
- High product intuition and comfort operating in ambiguity
Nice to Have
- Experience with AI-powered or data-heavy products
- Cloud-native architecture experience (GCP, serverless, containers)
- Startup experience or ownership of large product surfaces
Tech Stack
React / Next.js · Node.js · TypeScript · Python · GCP · Cloud Run · Modal · Firebase · Redis · Upstash
Compensation
- ~$300k total compensation (base salary, bonus, equity)
- Meaningful equity ownership
- High-autonomy, high-growth environment
Work Setup
- Bay Area preferred (hybrid allowed)
- North America remote considered
- Visa sponsorship available
What Success Looks Like in 3–6 Months
- Shipped multiple features users love
- Launched at least one AI-powered user flow end-to-end
- Built tight feedback loops with founders, design, and real users
- Proactively shaping product and engineering direction
If you're excited about building magical AI experiences and owning real product impact from day one, we'd love to talk.
Senior Product Engineer (North America)
OpenArt is an AI-native storytelling and visual creation platform used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling users to create videos, visuals, characters, and stories fasterand more intuitively than ever.
Why Join OpenArt
- Small team, high ownership — senior engineers own real systems end-to-end
- Ship fast at real scale — your work reaches millions of users
- Founder-led engineering culture with deep product and architectural involvement
- AI-native product — shaping how advanced models become real user experiences
- Low process, high trust — judgment, clarity, and speed matter
About the Role
We're hiring a Senior Product Engineer (Full-Stack) to own complex, user-facing systems end-to-end. This is not a single-layer role — you'll work across frontend UX, backend systems, APIs, and data models, making pragmatic trade-offs between product velocity, scalability, and long-term maintainability.
You'll partner closely with the founders to design, build, and evolve core AI-powered workflows, acting as both a strong technical owner and a product thinker.
What You'll Do
- Own product features from concept and UX through backend systems and production launch
- Design scalable backend architectures, APIs, async pipelines, and AI inference workflows
- Lead system design with a focus on performance, reliability, and extensibility
- Design clean, scalable data models across SQL and NoSQL systems
- Build polished frontend experiences using React / Next.js
- Make and clearly communicate technical trade-offs
- Collaborate closely with Product, Design, and GTM
- Mentor engineers and raise the overall engineering bar
- Influence architecture, tooling, and engineering best practices
What We're Looking For
Core
- Strong full-stack experience shipping production systems at scale
- Ability to independently design and ship end-to-end features
- Strong system design and data modeling skills
- Experience with relational and NoSQL databases (e.g. PostgreSQL, Redis, Firestore)
- Backend experience with Node.js and/or Python
- Frontend experience with React / Next.js
- High product intuition and comfort operating in ambiguity
Nice to Have
- Experience with AI-powered or data-heavy products
- Cloud-native architecture experience (GCP, serverless, containers)
- Startup experience or ownership of large product surfaces
Tech Stack
React / Next.js · Node.js · TypeScript · Python · GCP · Cloud Run · Modal · Firebase · Redis · Upstash
Compensation
- ~$300k total compensation (base salary, bonus, equity)
- Meaningful equity ownership
- High-autonomy, high-growth environment
Work Setup
- Bay Area preferred (hybrid allowed)
- North America remote considered
- Visa sponsorship available
What Success Looks Like in 3–6 Months
- Shipped multiple features users love
- Launched at least one AI-powered user flow end-to-end
- Built tight feedback loops with founders, design, and real users
- Proactively shaping product and engineering direction
If you're excited about building magical AI experiences and owning real product impact from day one, we'd love to talk.