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Senior Product Engineer (North America)

Posted 6 Days Ago
Remote or Hybrid
7 Locations
Senior level
Remote or Hybrid
7 Locations
Senior level
Own end-to-end product features from concept through production. Design scalable backends, APIs, async and AI inference workflows; build high-quality React/Next.js frontends; design data models (SQL and NoSQL); mentor engineers; and collaborate with product and design to deliver user-focused AI-powered experiences.
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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.

Top Skills

Cloud Run
Firebase
Firestore
GCP
Modal
MySQL
Next.Js
Node.js
Postgres
Python
React
Redis
Typescript
Upstash

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