Lightning AI
Senior Product Manager, AI Infrastructure
New York, New York, United States · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$5,672 more — $165,672 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,672 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Occupations, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute.
- We serve solo researchers, startups, and large enterprises.
Responsibilities
- 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.
- Partner with Sales & CS: Collaborate on land-and-expand motions, ensuring enterprise success turns into expansion.
- Build products that developers love: design intuitive user flows and coach an engineering team to ship higher quality products faster.
- Strong collaboration skills with a proven ability to partner with Sales, CS, Marketing and Engineering.
- Highly coachable with a demonstrated ability to maintain an open mind, take feedback onboard, learn from it, and continuously improve.
- We believe that diverse teams drive innovation and create better products.
- We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
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.
- familiarity with APIs, developer workflows, and integration challenges.
- Comfort with technical concepts and ability to work closely with engineering to define specs and resolve challenges.
- Bachelor's degree in Computer Science, Engineering, or related field.
Skills
- Lightning AI is the company behind PyTorch Lightning.
- Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
- The Way We Work
- Here's what that looks like in practice:
- Move with Urgency:
- Take Ownership:
Compensation
- The salary range for this role is $160,000-$210,000.
Benefits
- 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.
- 401(k) matching (U.S.) and pension contributions (U.K.).
- 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.
- Annual learning and development allowance to support your professional growth.
- Four weeks of paid sabbatical leave after four years of service.
- Flexible Work:
- Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
- Benefits may vary by location, team, and role.
- Flexible schedules and a hybrid work model for our office-based teams.
Company info
- 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.
- 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.
- 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 people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company.
- 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.
This listing is sourced directly from Lightning AI's careers page and normalized into a canonical job model.