Software Engineer, GTM
Required skills
- production software
- LLM-powered agents
- real users
- agent harness concepts
- data modeling
- schema design
- AI-assisted coding
- product sense
Nice to have
- reusable Agent Skills
- structured agent workflows
- MCP servers
- CLI tooling
- agent orchestration frameworks
- LLM evaluation
Role summary
OpenArt is seeking a Software Engineer, Go-to-Market (GTM) to join their AI storytelling and visual creation platform. This role involves working at the intersection of engineering, product, and GTM to identify emerging generative AI opportunities, rapidly prototype, and ship innovative experiences. You will contribute to core products like OpenArt Agent and Arena, evaluate AI models, and build production-ready frontend experiences using React and Next.js. The ideal candidate has 2+ years of full-stack experience, hands-on experience with LLM-powered agents, strong data modeling skills, and proficiency in AI-assisted coding. Experience with agent frameworks and generative AI models is preferred. The role offers a hybrid work setup in San Carlos, CA, with visa sponsorship available.
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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