Position SummaryThe 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.
Essential DutiesAI Product Strategy & Roadmap- 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.
Product Execution & Delivery- 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.
AI/ML Lifecycle, Governance & Trust- 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.
Stakeholder Alignment & Communication- 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.
Vendor / Platform Partnership (as applicable)- 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.
Additional Duties: Tasks or duties not outlined in this job description may be required to contribute to the organization's success and efficiency.
QualificationsEducation & Experience: - 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.
Preferred Qualifications- 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.
The Benefits of Employment- 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
Salary range: $150,000 - $200,000/yr
If you are hired at Morgan Properties, your overall compensation package will also be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range
