Senior Product Engineer (North America)

Reposted 3 Days Ago
Be an Early Applicant
7 Locations
Remote or Hybrid
300K-300K Annually
Senior level
Artificial Intelligence • Software • Generative AI
The Role
Own and ship end-to-end, user-facing features across frontend and backend. Design scalable architectures, APIs, async pipelines, and AI inference workflows. Build data models, mentor engineers, and collaborate with founders, design, and product to deliver polished React/Next.js experiences at scale.
Summary Generated by Built In
Senior Product Engineer (North America)About OpenArt

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 faster and 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.

Skills Required

  • 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
  • Experience with AI-powered or data-heavy products
  • Cloud-native architecture experience (GCP, serverless, containers)
  • Startup experience or ownership of large product surfaces
Am I A Good Fit?
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The Company
HQ: Menlo Park, CA
17 Employees
Year Founded: 2023

What We Do

Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.

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