Software Engineer, Product
Thinking Machines Lab2 months ago
Base Salary
$300k - $350k/yr
Responsibilities
- Design, build, and ship full stack features across web applications, including backend services, APIs, and production-quality frontend interfaces.
- Prototype with emerging model capabilities and translate research results into usable product experiences.
- Take product ideas from rough concepts to live user-facing products and iterate based on feedback.
- Partner with researchers to understand model behavior and capabilities and translate them into product decisions.
- Work with design and product partners to define what to build.
- Own the technical architecture, scalability, reliability, and maintainability of products.
- Help establish engineering practices and technical standards for the product engineering team.
Requirements
- At least 5 years of professional software engineering experience with ownership across frontend and backend systems.
- A strong record of shipping production web applications end to end, from data model and API design through user-facing interfaces.
- Ability to work in ambiguous, fast-changing environments and make pragmatic technical tradeoffs.
- Preferred: experience building products on large language models or other frontier AI systems.
- Preferred: strong product sense and experience as an early or founding engineer or leading a product from 0 to 1.
- Preferred: familiarity with modern frontend frameworks and interface design and usability.
- Preferred: experience with distributed systems, infrastructure, or backend performance at scale.
- Preferred: experience collaborating with researchers, designers, and other non-engineering partners.
Benefits
- Annual salary range of $300,000-$350,000 USD.
- Health, dental, and vision benefits.
- Unlimited paid time off.
- Paid parental leave.
- Relocation support as needed.
- Role based in San Francisco, California, or New York, New York.
Categories
About Thinking Machines Lab
Thinking Machines Lab develops AI and generative AI software and conducts applied research to help organizations make data-driven decisions. The company builds products and data science solutions for enterprise use cases, pairing foundational models with practical tooling and services across industries. It is privately held and headquartered in San Francisco.