Product Manager, Enterprise at Lightning AI

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

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 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

Responsibilities

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

Skills

Product Management

Customer Empathy

Technical Depth

Roadmap Execution

Cross-Functional Collaboration

Enterprise Customers

GTM Strategy

AI Platforms

Lightning AI

AI development platform for coding and deployment

About Lightning AI

Lightning AI provides a platform for developing artificial intelligence applications, supporting users throughout the entire AI lifecycle from initial ideas to final deployment. The platform is accessible via web browsers, allowing developers and data scientists to easily code, prototype, and train AI models using GPUs without needing extensive setup. It operates on a subscription model, offering a cloud-based AI Studio that functions like a virtual laptop with persistent storage and environments. This setup enables users to code on CPUs, debug on GPUs, and scale their projects across multiple nodes. Key features of the platform include tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics, which help in optimizing and scaling AI models. Lightning AI aims to provide a user-friendly and comprehensive solution for both enterprises and individual developers looking to enhance their AI development capabilities.

New York City, New YorkHeadquarters

2015Year Founded

$105.6MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Flexible Paid Time Off

Paid Family Leave

Phone/Internet Stipend

Home Office Stipend

Professional Development Budget

Gym Membership

Mental Health Support

Stock Options

Risks

Open-source models like Dolly and Alpaca challenge Lightning AI's proprietary offerings.

Rapid AI development may outpace Lightning AI's innovation capabilities.

Dependence on AWS could affect cost structure if service terms change.

Differentiation

Lightning AI offers a comprehensive AI lifecycle platform from ideation to deployment.

The platform's integration with AWS Marketplace simplifies enterprise procurement processes.

PyTorch Lightning's popularity supports Lightning AI's open-source framework approach.

Upsides

Recent $50M funding round indicates strong market confidence in Lightning AI.

Thunder compiler speeds up AI model training, reducing costs significantly.

Collaboration with AWS enhances AI model performance using cutting-edge hardware.

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