Senior Product Engineer (North America)
Embedding VC
San Francisco, CARemote$300,000 a yearFull Time
Job Description
SeniorReferrals Product Engineer (North America)
About OpenArt
OpenArt is an AI-native storytelling and visual creation platform used by millions of creators worldwide. We build production-grade creative tools that allow users to generate videos, visuals, characters, and narratives at scale, powered by state-of-the-art AI models.
Our focus is on translating cutting-edge AI capabilities into reliable, intuitive, and high-impact user experiences.
Why OpenArt
Small, senior team with ownership over real systems and core workflows
Products shipped directly to millions of users
Founder-led engineering culture with strong technical leadership
High autonomy and low process, emphasis on clarity, judgment, and execution
Direct exposure to AI-powered product design and architecture decisions
The Role
We are hiring a Senior Product Engineer (Full-Stack) to own complex, user-facing systems end-to-end. This role spans product definition, frontend UX, backend architecture, and data modeling.
This is not a single-layer role. You should be comfortable operating across the stack, making pragmatic trade-offs between speed, scalability, and maintainability, and taking responsibility for features from initial concept through production.
You will work closely with the founders and product leadership to design and evolve core AI-driven workflows and act as a senior technical multiplier for the team.
Responsibilities
Own end-to-end product features from concept and UX decisions through backend implementation and production launch
Design and implement scalable backend systems, including APIs, async pipelines, and AI inference workflows
Lead system design decisions with attention to performance, reliability, and extensibility
Design and maintain clean, scalable data models across SQL and NoSQL systems
Build high-quality frontend experiences using React / Next.js with strong attention to UX and performance
Make and clearly communicate trade-offs between velocity, correctness, and long-term system health
Collaborate closely with Product, Design, and GTM to translate user needs into technical solutions
Mentor junior engineers through code reviews and technical guidance
Contribute to architectural decisions, tooling choices, and engineering best practices
Represent engineering decisions when needed, including acting as a delegate for senior technical leadership
Requirements
Core
Strong full-stack experience shipping production systems at scale
Demonstrated ability to independently design and deliver end-to-end features
Solid system design skills across APIs, services, data flow, and failure modes
Experience designing data schemas for real-world product use cases
Hands-on experience with relational databases (PostgreSQL, MySQL) and NoSQL / KV stores (Redis, Firestore)
Backend experience with Node.js and/or Python, including async workflows and integrations
Strong frontend experience with React / Next.js
Strong product intuition and user-centric thinking
Comfortable operating in ambiguous problem spaces
Nice to Have
Experience building AI-powered or data-intensive products
Familiarity with cloud-native systems (GCP, serverless, containers)
Experience balancing real-time UX with async processing
Startup experience or ownership of large product surfaces
Tech Stack
React, Next.js, TypeScript, Node.js, Python, GCP, Cloud Run, Modal, Firebase, Redis, Upstash
Compensation
Approximately $300k total compensation (base, bonus, equity)
Meaningful equity ownership
High-autonomy, high-growth environment
Work Location
North America
Bay Area preferred (hybrid supported)
Visa sponsorship available
Remote candidates considered
What Success Looks Like (3–6 Months)
Multiple shipped features with clear user impact
At least one AI-powered workflow delivered end-to-end
Tight feedback loop with founders, design, and users
Proactive ownership over product and technical direction
Trusted contributor to product and engineering roadmap
If you’re interested in building AI-native products with real user impact and end-to-end ownership, we’d be happy to connect.
About OpenArt
OpenArt is an AI-native storytelling and visual creation platform used by millions of creators worldwide. We build production-grade creative tools that allow users to generate videos, visuals, characters, and narratives at scale, powered by state-of-the-art AI models.
Our focus is on translating cutting-edge AI capabilities into reliable, intuitive, and high-impact user experiences.
Why OpenArt
Small, senior team with ownership over real systems and core workflows
Products shipped directly to millions of users
Founder-led engineering culture with strong technical leadership
High autonomy and low process, emphasis on clarity, judgment, and execution
Direct exposure to AI-powered product design and architecture decisions
The Role
We are hiring a Senior Product Engineer (Full-Stack) to own complex, user-facing systems end-to-end. This role spans product definition, frontend UX, backend architecture, and data modeling.
This is not a single-layer role. You should be comfortable operating across the stack, making pragmatic trade-offs between speed, scalability, and maintainability, and taking responsibility for features from initial concept through production.
You will work closely with the founders and product leadership to design and evolve core AI-driven workflows and act as a senior technical multiplier for the team.
Responsibilities
Own end-to-end product features from concept and UX decisions through backend implementation and production launch
Design and implement scalable backend systems, including APIs, async pipelines, and AI inference workflows
Lead system design decisions with attention to performance, reliability, and extensibility
Design and maintain clean, scalable data models across SQL and NoSQL systems
Build high-quality frontend experiences using React / Next.js with strong attention to UX and performance
Make and clearly communicate trade-offs between velocity, correctness, and long-term system health
Collaborate closely with Product, Design, and GTM to translate user needs into technical solutions
Mentor junior engineers through code reviews and technical guidance
Contribute to architectural decisions, tooling choices, and engineering best practices
Represent engineering decisions when needed, including acting as a delegate for senior technical leadership
Requirements
Core
Strong full-stack experience shipping production systems at scale
Demonstrated ability to independently design and deliver end-to-end features
Solid system design skills across APIs, services, data flow, and failure modes
Experience designing data schemas for real-world product use cases
Hands-on experience with relational databases (PostgreSQL, MySQL) and NoSQL / KV stores (Redis, Firestore)
Backend experience with Node.js and/or Python, including async workflows and integrations
Strong frontend experience with React / Next.js
Strong product intuition and user-centric thinking
Comfortable operating in ambiguous problem spaces
Nice to Have
Experience building AI-powered or data-intensive products
Familiarity with cloud-native systems (GCP, serverless, containers)
Experience balancing real-time UX with async processing
Startup experience or ownership of large product surfaces
Tech Stack
React, Next.js, TypeScript, Node.js, Python, GCP, Cloud Run, Modal, Firebase, Redis, Upstash
Compensation
Approximately $300k total compensation (base, bonus, equity)
Meaningful equity ownership
High-autonomy, high-growth environment
Work Location
North America
Bay Area preferred (hybrid supported)
Visa sponsorship available
Remote candidates considered
What Success Looks Like (3–6 Months)
Multiple shipped features with clear user impact
At least one AI-powered workflow delivered end-to-end
Tight feedback loop with founders, design, and users
Proactive ownership over product and technical direction
Trusted contributor to product and engineering roadmap
If you’re interested in building AI-native products with real user impact and end-to-end ownership, we’d be happy to connect.