Enterprise AI Product Manager - GenAI & LLM Platform

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

Benefits offered by this job

Volunteer hours program

Employee Resource Groups

Parental leave (up to 12 weeks)

Mental health support

Tuition reimbursement

Pet insurance

Job summary

Berkadia in New York is seeking a Product Manager to lead an enterprise AI platform, shaping vision, strategy, and the roadmap while collaborating with business leaders to prioritize work.

You will partner with data scientists, ML engineers, software engineers, and solution architects to deliver AI-enabled products from discovery through release, applying SDLC and Agile practices in a fast-moving environment with ambiguity.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5+ years of product-management experience, including responsibility for delivering software products in an enterprise environment.
• 2+ years of experience working on AI-specific products or capabilities, such as generative AI applications, LLM-enabled products, AI agents, machine-learning products, or intelligent workflow automation.

Responsibilities

• Champion and reinforce the vision, strategy, and roadmap, and operating model for an enterprise AI platform.
• Demonstrated experience managing a software product in an enterprise environment from discovery through release and ongoing iteration.
• Experience as a Product Manager for AI-enabled, generative AI, LLM-based, machine-learning, or agentic products.
• Strong understanding of SDLC and Agile methodologies, including backlog management, iterative delivery, release planning, and cross-functional collaboration.

Skills

Product management

AI product experience

SDLC

Agile methodologies

Stakeholder management

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Tools

CRM systems

Data analytics tools

Job description

Berkadia in New York is seeking a Product Manager to lead an enterprise AI platform, shaping vision, strategy, and the roadmap while collaborating with business leaders to prioritize work.

You will partner with data scientists, ML engineers, software engineers, and solution architects to deliver AI-enabled products from discovery through release, applying SDLC and Agile practices in a fast-moving environment with ambiguity.