Senior Product Manager, AI Infrastructure

What We're Looking For

We’re looking for a Senior Product Manager, Enterprise who thrives at the intersection of customer empathy, technical depth, and execution. You’ll own identifying high-impact opportunities from our enterprise customers and ensure that when something is broken, it gets fixed—fast and well.

This is not just about roadmap delivery: you’ll be the voice of our enterprise customers inside Lightning, ensuring their needs influence our strategy while driving execution with engineering, design, and GTM teams.

You’ll report to our Senior Director of Product, Neil Bhatt. This hybrid role is based in NYC or SF. The salary range for this role is $160,000–$210,000.

What You’ll Do

• Identify & Prioritize Opportunities: Partner with enterprise customers to uncover high-revenue, high-value opportunities that shape our product strategy.
• Own Customer Outcomes: Act as an extension of post-sales ensuring blockers are removed, integrations work, and enterprise adoption expands.
• Drive Operational Excellence: Build trusted relationships with technical users, ensuring issues are surfaced, owned, and resolved with speed and quality.
• Bridge Customer & Engineering: Translate developer needs (APIs, integrations, docs, workflows) into intuitive user flows and actionable specs.
• Partner with Sales & CS: Collaborate on land-and-expand motions, ensuring enterprise success turns into expansion.
• Execute Relentlessly: Balance strategic thinking with a bias to action driving multiple initiatives forward with clarity, speed, and proactive communication.
• Build products that developers love: design intuitive user flows and coach an engineering team to ship higher quality products faster.
  
  

What You’ll Need

• 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 calls.
• Excellent product judgment and an eye for elegant, intuitive UX.
• Strong collaboration skills with a 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 a demonstrated ability to maintain an open mind, take feedback onboard, learn from it, and continuously improve.
  Bachelor’s degree in Computer Science, Engineering, or related field.
• Bonus: Experience in AI cloud platforms, model training, or inference.