Six Figure Work

Senior Product Manager, AI Infrastructure (Managed Services)

Lightning AI

Company websitelightning.ai (Lightning AI, opens in new tab)

Base salary $160K  to $325K

Employer-published annual base salary, USD. Advertised base range in New York, NY +1 more

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  • LocationNew York, NY +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since
All places named
  • New York, NY
  • San Francisco, CA

About this job

Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

The Way We Work

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:

  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
  • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
  • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
  • Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
  • Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.

What We’re Looking For

We’re looking for a Senior Product Manager, AI Infrastructure to help build a platinum-level NeoCloud: a premium AI cloud defined by exceptional performance, reliability, technical capabilities, and service.

You’ll partner closely with our services team to understand what customers need to run demanding AI workloads and translate those insights into a differentiated product strategy. You’ll develop a clear view of the market and the technical frontier, make strategic calls on where we invest, and work tightly with engineering to advance our architecture, platform capabilities, and offerings for priority verticals.

This role requires technical depth, strong commercial judgment, and the ability to turn an ambitious strategy into concrete product decisions. You’ll help define what a premium NeoCloud experience means—and deliver it across the platform and the services surrounding it.

You’ll report to our VP of Product, Neil Bhatt. This hybrid role is based in NYC or SF with a 2 day in the office requirement. We build in Flatiron (NYC) and SoMa (SF).

What You’ll Do

  • Define our Neocloud strategy: Establish a clear product vision and roadmap grounded in customer needs, market opportunities, technical advances, and our strengths.
  • Build alongside engineers: Partner closely with the managed services team to uncover recurring customer needs, identify gaps, and turn lessons from customer engagements into scalable platform capabilities.
  • Understand the market and the frontier: Stay close to customers, emerging infrastructure technologies, and competitive offerings. Distinguish durable shifts from short-term trends and make clear recommendations on where we should lead, partner, or hold back.
  • Shape architecture with engineering: Translate customer workloads and business priorities into technical requirements. Partner with engineering on architectural decisions and tradeoffs across performance, reliability, scalability, security, and cost.
  • Deliver a premium customer experience: Define the capabilities and service standards customers should expect and partner with our Customers Experience team to deliver and enable that standard.
  • Make disciplined investment decisions: Prioritize initiatives based on customer impact, differentiation, feasibility, and economics. Set measurable goals and use results to guide further investment.
  • Own execution and outcomes: Drive initiatives from discovery through launch and adoption, with clear requirements, explicit tradeoffs, and accountability for results.

What You’ll Need

  • 7+ years of product management experience, with meaningful experience in cloud infrastructure, developer platforms, or other technically complex products.
  • An ownership mindset, a bias toward action, and openness to feedback and new evidence.
  • AI-pilled with experience using agents to monitor the effectiveness of product enhancements and identify new opportunities.
  • A track record of setting product direction and delivering capabilities that improve customer outcomes and business performance.
  • The ability to engage deeply with engineering on architecture and technical tradeoffs while keeping customer value and business goals clear.
  • Strong market and commercial judgment, including the ability to evaluate emerging technologies, competitive positioning, and opportunities across verticals.
  • Analytical fluency and comfort defining success through measures such as workload performance, reliability, utilization, adoption, customer satisfaction, and unit economics.
  • Clear communication and the ability to align engineering, services, and go-to-market teams around decisions and priorities.

Bonus Points

  • Experience building a NeoCloud or GPU cloud offering, supporting large-scale training or inference workloads, or developing premium infrastructure services for enterprise customers.

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.

The anticipated annual base salary range for this role is:

$160,000—$325,000 USD

Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

  • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
  • Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
  • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
  • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.
  • Professional Development: Annual learning and development allowance to support your professional growth.
  • Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
  • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
  • Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
  • In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Source: Lightning AI on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($160,000) is above 38% of the 485 Product roles in New York listed on this site; 21 others list the same floor. Their median floor is $170,000; the middle half runs from $143,200 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Lightning AI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Lightning AI roles with the nearest advertised base floor
RolePublished base
Senior Product Manager, AI Infrastructure (Managed Services) (this listing)$160K - $325K
Senior Product Designer$160K - $200K
Customer Success Specialist$160K - $180K
Senior People Partner, Tech$160K - $180K
Data Scientist$160K - $245K
Senior Product Manager, AI Infrastructure (Hardware)$160K - $325K
Machine Learning Sales Engineer(Customer facing)$170K - $190K

Same $100K to $400K scale as every card. All Lightning AI roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
  3. Absent from the employer's board; confirmation pending
  4. absence cleared
  5. Stopped meeting the published-salary criteria
  6. fields changed
  7. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-14
Where this pay comes from

Location as the employer wrote it: New York, New York, United States; San Francisco, California, United States

USD 160,000 – 325,000 · interval unstated · pay_input_range · The anticipated annual base salary range for this role is:

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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