The
Product Manager, AI will help shape and scale Berkadia's standalone AI application into an enterprise platform that enables business units to design, configure, and deploy secure, governed AI-enabled workflows.
This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product capabilities. The Product Manager will help establish the reusable platform components, tools, workflows, guardrails, data-access patterns, and user experiences that empower business teams to self-serve within a controlled framework.
The ideal candidate combines strong product-management discipline with technical fluency in generative AI, large language models (LLMs), agentic systems, enterprise integrations, and software delivery. They can communicate effectively with both technical teams and business stakeholders, understand the lifecycle of AI-enabled products, and guide the delivery of practical solutions that improve Berkadia's investment sales, mortgage banking, loan servicing, and corporate workflows.
We Innovate to shape the future of CRE, so in this role you will:Responsibilities: - Champion and reinforce the vision, strategy, and roadmap, and operating model for an enterprise AI platform.
- Strong analytical and problem-solving skills, with the ability to synthesize business, technical, user, and operational inputs into clear product decisions.
- 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.
- Working knowledge of generative AI application patterns and secure enterprise integration, including prompt engineering, retrieval-augmented generation, tool calling, workflow orchestration, model evaluation, agentic systems, APIs, tool frameworks, and governed access to enterprise data and systems.
- Experience partnering with data scientists, machine-learning engineers, software engineers, solution architects, and business subject-matter experts.
- Familiarity with both traditional machine-learning concepts and modern LLM-based product development is preferred.
- Strong understanding of SDLC and Agile methodologies, including backlog management, iterative delivery, release planning, and cross-functional collaboration.
- Ability to work effectively in a fast-moving environment with ambiguity, competing priorities, and evolving AI technologies.
- Strong written, verbal, facilitation, and stakeholder-management skills.
We Stand for Excellence, so to achieve success in this role you should have:Requirements:- 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.
- Prior hands-on technical experience in software engineering, data, analytics, machine learning, AI application development, or a related technical field is strongly preferred.
- Experience working with internal enterprise users and translating complex business processes into scalable digital-product experiences.
- Experience supporting products that integrate with CRM, workflow, data, or other enterprise platforms is preferred.
We believe People Matter, so we offer benefits that go beyond:- Monthly paid volunteer hours and donation matching to benefit our communities
- Employee Resource Groups that help you grow with us
- Fertility and family planning services
- Up to 12-weeks of fully paid parental leave
- Mental health care, including free counseling sessions:
- We'll help fund your learning journey with generous tuition reimbursement
- Pet insurance discounts
- And more!
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