Job Description & Details
This is a heavy-hitting AI Program Manager role where you'll actually be steering the ship on enterprise-scale Generative AI deployments rather than just pushing decks around. If you like untangling messy cross-functional dependencies between architecture, data engineering, and stubborn business stakeholders, this hybrid gig in Jersey City is going to keep you very busy.
What You'll Actually Be Doing
Expect to spend your days knee-deep in delivery roadmaps, corralling engineering and data science teams to make sure LLM implementations actually hit production on schedule. You'll be bridging the eternal gap between technical feasibility and business value, managing everything from UAT cycles to data governance hurdles. When an AI pipeline stalls because of data quality or security blockers, you're the one diagnosing the root cause and figuring out a workaround with the architecture crew.
The Core Tech Stack
While you won't be writing Python code, you absolute need to speak fluent AI/ML. A strong working grasp of Large Language Models, Retrieval-Augmented Generation (RAG) architectures, and vector databases is non-negotiable because you'll be evaluating technical trade-offs with your engineering leads. Familiarity with cloud platforms, Agile/SAFe frameworks, and data pipeline mechanics will dictate whether your projects survive past the proof-of-concept phase.
Interview Expectations
Be ready for a panel to drill you on a time you managed a severely delayed technical initiative with competing stakeholder demands; they are secretly testing your conflict resolution and risk mitigation chops under pressure. They'll also likely throw a hypothetical Generative AI rollout scenario at you to see how you sequence data readiness, security reviews, and model evaluation phases without dropping the ball.
Application Advice
Make sure your resume doesn't just read like a generic Agile PM history; explicitly highlight your direct experience delivering AI, Machine Learning, or large-scale data analytics initiatives. Mirror the exact terminology from the job description like 'Generative AI', 'program governance', 'risk mitigation', and 'cross-functional delivery' so your profile sails straight through their ATS and lands on a technical recruiter's desk.