Product Engineer

About the role

You will own the end-to-end product development lifecycle for key platform features, translating user needs into reliable frontend and backend solutions. You will design and iterate on the Lightning AI developer experience, ensuring that the platform remains intuitive, performant, and secure for diverse workloads. You will collaborate closely with research, product, and design teams to validate hypotheses, prototype new interactions, and refine user flows based on real feedback. You will drive measurable improvements in reliability, scalability, and developer productivity through data-informed decisions and disciplined experimentation. You will take responsibility for scoping complex initiatives, breaking them into actionable milestones, and delivering outcomes on schedule. You will champion best practices in testing, observability, and maintainability to ensure long-term platform health. You will mentor and enable other engineers by sharing knowledge, improving documentation, and elevating the overall quality bar.

Key facts

What you'll do

• Architect and implement user-facing features across web, CLI, and backend services, balancing usability with performance at scale.
• Partner with product managers and designers to refine requirements, validate prototypes, and iterate on solutions that meet real user needs.
• Evaluate existing technical architecture, identify bottlenecks, and drive improvements that enhance stability, observability, and scalability.
• Write readable, testable, and efficient code in React and either Python or Go (Golang) to power core platform capabilities.
• Build deep expertise in the Lightning AI technology stack to deliver new features, reduce technical debt, and improve developer workflows.
• Maintain high standards for software quality by implementing automation, driving continuous delivery, and reducing time to production.
• Document systems, APIs, and workflows clearly so that other engineers can understand, use, and extend them effectively.
• Analyze metrics and user feedback to prioritize work that maximizes impact on the developer experience and platform adoption.
• Communicate progress, risks, and tradeoffs proactively to stakeholders, aligning technical constraints with business objectives.
• Contribute to technical design reviews, code reviews, and long-term roadmap planning to set direction for large-scale initiatives.
• Mentor engineers and collaborate cross-functionally to elevate the overall quality and reliability of the platform.
• Own end-to-end delivery of features from initial discovery through launch, monitoring, and post-launch improvements.
• Strengthen observability and debugging tooling so that issues can be identified, diagnosed, and resolved quickly.
• Ensure that platform components meet security, compliance, and operational standards across deployments and environments.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Demonstrated experience building and shipping software products in a fast-paced environment.
• Strong proficiency in React for building interactive user interfaces and user experiences.
• Solid experience with either Python or Go (Golang) for backend service development and integration.
• Understanding of distributed systems concepts, including scalability, fault tolerance, and observability.
• Experience with cloud platforms and infrastructure commonly used for AI and data-intensive workloads.
• Familiarity with machine learning workflows and tooling is a strong advantage for context and impact.
• Ability to write clean, maintainable code with comprehensive tests and clear documentation.
• Excellent communication skills for collaborating with cross-functional teams and articulating technical tradeoffs.
• Self-driven mindset with strong ownership, prioritization, and time management skills.
• Willingness to work from one of our hubs (NYC, SF, Seattle, or London) with a minimum of 2 in-office days per week.
• Not eligible for visa sponsorship at this time.

Nice to have

• Contributions to open source projects or public-facing developer tools.
• Experience with infrastructure, platform engineering, or internal tooling at scale.
• Knowledge of PyTorch Lightning or related machine learning frameworks.

Practical notes

• - This role requires a minimum of 2 in-office days per week from one of our hubs (New York City, San Francisco, Seattle, or London).
• We are not able to provide visa sponsorship for this position at this time.
• Location options include London, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States.