Enterprise AI Platform Product Manager (Generative AI)

Berkadia Proprietary Holding LLC; New York, Northern (NY, KY); Hybrid; USD 165,000 - 180,000; Full time

Benefits offered by this job

Volunteer hours

Donation matching

Employee Resource Groups

Fertility services

Parental leave (12 weeks)

Mental health support

Tuition reimbursement

Pet insurance

Job summary

Berkadia is seeking a Product Manager to lead teams in delivering an enterprise AI platform, aligning with business leaders on prioritization and roadmap. You will define MBIs that deliver meaningful value increments and manage the product through discovery, release, and ongoing iteration in a fast-moving environment.

The role requires 5+ years of product-management experience, 2+ years in AI-specific products, strong SDLC/Agile knowledge, and collaboration with data scientists, engineers, and

Qualifications

• 5+ years of product-management experience delivering software in an enterprise environment.
• 2+ years of AI-specific product experience (generative AI, LLM, AI agents).
• Strong understanding of SDLC and Agile methodologies with backlog management and cross-functional delivery.

Responsibilities

• Lead teams to deliver on the roadmap and MBIs that drive meaningful value.
• Define and prioritize AI platform features in partnership with business leaders.
• Drive end-to-end product lifecycle from discovery to release and iterate post-launch.

Skills

Product management

AI product experience

Agile methodologies

Stakeholder management

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Job description

Berkadia is seeking a Product Manager to lead teams in delivering an enterprise AI platform, aligning with business leaders on prioritization and roadmap. You will define MBIs that deliver meaningful value increments and manage the product through discovery, release, and ongoing iteration in a fast-moving environment.

The role requires 5+ years of product-management experience, 2+ years in AI-specific products, strong SDLC/Agile knowledge, and collaboration with data scientists, engineers, and