Job Description

Senior Product Engineer

• Title of Role: Senior Product Engineer
• Location: New York, New York, remote
• Company Stage of Funding: Series D — Fintech, B2B, Enterprise, Software Development
• Office Type: Remote
• Salary: [To be confirmed with final candidates]

We're representing a global AI research and technology company at the forefront of generative AI. The team is dedicated to building foundational AI research models and tools that create multimodal simulators of the world, pushing the boundaries of machine perception and understanding across various media types.

What You Will Do

• Design, build, and ship high-quality fullstack product features that enhance user interaction with advanced generative AI models and tools.
• Collaborate with research, design, and product teams to transform complex AI capabilities into intuitive and performant user experiences.
• Take end-to-end ownership of features, overseeing scoping, architecture, deployment, and iteration processes.
• Contribute to both frontend and backend systems, ensuring scalability, reliability, and maintainability throughout the stack.
• Identify and implement improvements in engineering processes, tooling, and code quality.
• Engage with users and internal stakeholders to understand their needs and influence product direction.

Ideal Candidate Background

• Proven experience as a fullstack engineer with a strong track record of delivering polished, production-grade products.
• Proficient in designing APIs and backend services while also crafting refined, responsive frontend interfaces.
• Strong engineering fundamentals with a focus on pragmatic and well-considered solutions.
• Ability to excel in a fast-paced environment that values ownership, autonomy, and initiative.
• Genuine curiosity about AI, generative media, and the evolving landscape of machine learning tooling.

Preferred

• Prior experience working at an AI-focused company or on AI-powered product surfaces.
• Familiarity with building tools for creative workflows or media generation.
• Experience integrating large-scale machine learning models into user-facing products.

Compensation and Benefits

Compensation details will be discussed during the interview process and tailored to the experience and skills of the selected candidate. This role is fully remote, providing flexibility to work from anywhere.