Senior AI Product Manager

Morgan PropertiesConshohocken, PA
$150,000 - $200,000Onsite

About The Position

The Senior AI Product Manager (AI PM) will own the strategy, roadmap, and delivery of AI-powered products and capabilities that improve operational efficiency, user experience, and decision-making across the business. This role is responsible for identifying high-value AI opportunities, translating them into clear product requirements, aligning cross-functional stakeholders, and partnering closely with Engineering, Data/ML, Security, and Operations to deliver AI solutions that are scalable, trustworthy, and measurable. This role will support both internal and resident‑facing AI initiatives; scope will evolve based on business priorities and validated use cases.

Requirements

  • 5+ years in Product Management (or equivalent), with at least 2+ years delivering AI/ML or GenAI-enabled products into production.
  • Demonstrated experience taking products from discovery to launch, with measurable outcomes.
  • Strong analytical skills and experience defining/using metrics to drive roadmap prioritization.
  • Strong stakeholder management and executive communication skills.
  • Bachelor’s degree required (STEM preferred) or equivalent experience.

Nice To Haves

  • Experience with LLM/GenAI product patterns (RAG, tool/function calling, agent workflows), experimentation, and evaluation.
  • Familiarity with MLOps and production AI considerations (monitoring, drift, retraining, safety guardrails).
  • Experience with data governance concepts, integration patterns, APIs, and enterprise platforms.
  • Experience in real estate, property management, finance/ops workflows, or regulated environments.

Responsibilities

  • Define and own the vision, roadmap, and success metrics for AI products (e.g., workflow automation, predictive insights, document intelligence, conversational/agentic experiences).
  • Identify and prioritize AI use cases that deliver measurable business outcomes (cost reduction, cycle-time improvements, risk reduction, revenue lift, employee productivity).
  • Conduct discovery with business stakeholders and end users to validate pain points and value hypotheses.
  • Translate validated AI opportunities into well‑defined product requirements and a prioritized delivery backlog, with clear acceptance criteria covering quality, safety, and performance.
  • Partner with delivery teams to plan and execute work using sprint‑based or flow‑based (Kanban) approaches, ensuring predictable delivery and business readiness.
  • Ensure successful business adoption by partnering with end users, training teams, and operational leaders to drive measurable outcomes post-launch.
  • Ensure the product is “operationally real,” including training, rollout planning, support readiness, and documentation.
  • Define product performance metrics such as accuracy, latency, cost-to-serve, user adoption, retention, and task success rate.
  • Establish ongoing monitoring and feedback mechanisms to ensure product reliability and effectiveness, including triggers for updates and improvements in collaboration with Engineering.
  • Ensure responsible practices by implementing privacy, security, fairness checks where appropriate, maintaining explainability standards, and supporting auditability.
  • Work closely with Security and Compliance teams to guarantee data handling, permissions, and governance adhere to enterprise requirements.
  • Serve as the cross-functional “translator” between business outcomes and technical implementation.
  • Communicate roadmap progress, risks, tradeoffs, and decisions clearly to executives and operational leaders.
  • Build alignment across teams and drive decisions in ambiguous problem spaces.
  • Influences broader AI strategy and contributes to long-term platform and capability planning across the organization.
  • Evaluate and manage third-party AI vendors/tools (LLM providers, OCR/doc intelligence, MLOps platforms).
  • Support procurement, contract negotiation inputs, and performance management against KPIs/SLA expectations.

Benefits

  • Employee referral payment program
  • Educational Enhancement Program
  • Tuition Reimbursement
  • Medical, Dental, and Vision benefits
  • Life/ AD&D Insurance
  • Paid Parental Leave
  • Long and short term disability
  • Retirement Plan - 401(k) Plan
  • Volunteer & Community Service Opportunities
  • Discount on an apartment at any one of our properties
  • Brand new amenity space that includes a full gym/fitness center and golf simulator
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