Software Engineer, GTM
At a glance
Mid-level Software Engineering role at OpenArt AI. San Carlos · full-time · $200,000–$350,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build and refine OpenArt Agent and other products, taking features from prototype through production
- Develop OpenArt Arena so people can explore and compare generative AI models through intuitive experiences
- Work with product, design, and GTM teammates to turn market shifts into useful product features
- Compare image and video models on output quality, reliability, capabilities, and practical use cases
- Deliver polished React and Next.js interfaces, making clear trade-offs among speed, correctness, and scale
What you bring
- At least two years building full-stack software that has shipped to production
- You have delivered LLM-powered agents or applications to real users, beyond demos and prototypes
- You understand agent tools, context or memory, multi-step planning, or coordinating sub-agents
- You can model product data and design schemas, and explain agent behavior and engineering trade-offs clearly
- AI coding assistants are a core part of your workflow, and you have informed views on using them
Who this fits
This role suits a product-minded engineer who can move from market signals to working AI features and balance fast delivery with sound engineering choices. It is based in San Carlos with a hybrid option, and visa sponsorship is available.
From the employer
Software Engineer, GTM
🎨 About OpenArt
OpenArt is an AI storytelling and visual creation platform used by millions of creators 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
Ground floor of a new category — help define what "agent" means for creative work, the way Director redefined what "directing" means for video.
Small team, massive surface area — engineers own real systems end to end, not slices.
Real scale, real stakes — your agents run for millions of creators, and what you ship shows up in the product within days.
Founder-led engineering culture — both founders are technical and deeply involved in product and architecture.
AI-native product — you'll help decide how frontier models get orchestrated and exposed as experiences that feel effortless rather than technical.
High ownership, low process — we value judgment, clarity, and speed over bureaucracy.
🎯 About the Role
We're hiring engineers to join OpenArt's engineering team and turn fast-moving market trends into products people want to use. You'll work at the intersection of engineering, product, and go-to-market, identifying emerging opportunities in generative AI, rapidly prototyping new ideas, and shipping innovative experiences while the window of opportunity is still open.
You'll contribute to OpenArt Agent and other core products, and help build and evolve OpenArt Arena. The role also involves evaluating the latest video and image generation models, understanding where they excel, and translating those insights into better product capabilities and user experiences.
This is a highly product-oriented engineering role. You'll work closely with product, design, and the broader GTM team, moving quickly from market signal to prototype to production. You'll need strong product instincts, solid engineering judgment, and the ability to balance speed, quality, and scalability.
🛠 What You’ll Do
Contribute to the development and iteration of OpenArt Agent and other OpenArt products
Build and evolve OpenArt Arena, creating intuitive experiences for exploring and evaluating generative AI models
Partner closely with product, design, and GTM to turn emerging market trends into compelling product capabilities
Evaluate video and image generation models across quality, capabilities, reliability, and real-world use cases
Rapidly prototype and ship innovative projects inspired by new models, technologies, and shifts in user behavior
Ship polished, production-ready frontend experiences in React and Next.js, end to end
Make pragmatic trade-offs between speed, correctness, and scalability and communicate them clearly
⚙ What We’re Looking For
Core Requirements
2+ years of full-stack engineering experience shipping production software
Hands-on experience building LLM-powered agents or applications that have reached real users — not just prototypes or demos
Working familiarity with agent harness concepts: tool use, context/memory management, multi-step planning, or sub-agent orchestration
Solid data modeling and schema design skills for real product use cases
A strong AI-assisted coding practice — you use tools like Claude Code, Codex, or Cursor as a core part of how you build, and have real opinions about what makes them work well
Product sense — you think about what makes an agent experience feel trustworthy and delightful, not just functional
Clear communication — you can explain agent behavior and technical trade-offs to teammates who aren't engineers
Nice to Have
Experience authoring reusable Agent Skills or structured agent workflows
Practical experience building MCP servers or CLI tooling for agents
Exposure to agent orchestration frameworks (Claude Agent SDK, LangGraph, or similar) or LLM evaluation / observability tooling
Hands-on experience with image / video generation models
Startup experience, or having built something 0 to 1 (side projects count)
💰 Compensation
$200k-$300k+ total compensation including base salary, bonus, equity
Equity - meaningful ownership in what you build
High autonomy, high growth environment
🌍 Work Setup
San Carlos, CA (hybrid allowed)
Visa sponsorship available
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