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Salary: USD 160,000 - 210,000 / annual
Lightning AI is the company behind PyTorch Lightning, building an end-to-end platform for developing, training, and deploying AI systems. Founded in 2019 and recently merged with Voltage Park (a neocloud and AI Factory), Lightning AI combines developer-first software with cost-efficient, large-scale compute. The company serves solo researchers, startups, and large enterprises globally, with offices in New York City, San Francisco, Seattle, and London. It is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
In this Senior Product Manager role, you will own the enterprise customer experience and drive high-impact product opportunities. You'll report to the Senior Director of Product and work at the intersection of customer empathy, technical depth, and execution.
Key responsibilities include:
- Partnering with enterprise customers to uncover high-revenue, high-value opportunities that shape product strategy
- Acting as an extension of post-sales to ensure blockers are removed, integrations work, and enterprise adoption expands
- Building trusted relationships with technical users and ensuring issues are surfaced, owned, and resolved with speed and quality
- Translating developer needs (APIs, integrations, docs, workflows) into intuitive user flows and actionable specs
- Collaborating with Sales and Customer Success on land-and-expand motions to turn enterprise success into expansion
- Balancing strategic thinking with a bias to action, driving multiple initiatives forward with clarity and proactive communication
- Designing intuitive user flows and coaching engineering teams to ship higher-quality products faster
You will be the voice of enterprise customers inside Lightning, ensuring their needs influence strategy while driving execution across engineering, design, and go-to-market teams.
REQUIREMENTS:
- 5+ years in product management in high-growth SaaS, including 2+ years in enterprise B2B with land-and-expand or post-sales visibility
- Track record of identifying and executing on high-revenue enterprise opportunities while influencing product direction
- Strong empathy for technical users; familiarity with APIs, developer workflows, and integration challenges
- Analytical fluency: comfortable with instrumentation, metrics, dashboards, and making data-driven decisions
- Excellent product judgment and an eye for elegant, intuitive UX
- Strong collaboration skills with proven ability to partner with Sales, CS, Marketing, and Engineering
- Comfort with technical concepts and ability to work closely with engineering to define specs and resolve challenges
- Highly coachable with demonstrated ability to maintain an open mind, take feedback, learn, and continuously improve
- Bachelor's degree in Computer Science, Engineering, or related field
- Bonus: Experience in AI cloud platforms, model training, or inference
