Senior AI Product Manager

Accountabilities:

• Lead the full product development lifecycle, from discovery workshops and data mapping through platform development, reporting views, user training, and final handover.

• Own delivery plans, milestones, acceptance gates, project scope, and client commitments across fixed-fee engagements with defined deadlines.

• Establish gate criteria, supporting evidence, and acceptance requirements with clients before project sign-off; manage scope changes and clearly identify work for future delivery cycles.

• Define value baselines with client finance teams and track measurable outcomes throughout each engagement.

• Prioritize reliable data foundations by coordinating source mapping, data quality rules, exception routing, data lineage, and locked data snapshots before reporting views are developed.

• Facilitate workshops with asset management, finance, investor relations, deal teams, and technology stakeholders to define reporting needs, KPIs, view specifications, and acceptance criteria.

• Partner with engineering and data science teams to identify appropriate AI use cases, including agent-based data mapping, document extraction, retrieval with cited sources, and automated commentary drafting.

• Ensure financial reporting remains based on fixed, auditable calculations approved by the client.

• Serve as the primary day-to-day contact for executive sponsors, business owners, and technology leads, communicating progress clearly and escalating risks early.

• Lead incumbent platform retirement activities, including historical data migration, parallel runs, sign-off, and transition planning.

• Coordinate role-based user training and ensure complete documentation and operational knowledge transfer to the client's platform owner.

Requirements:

• At least 5 years of product management experience, with hands-on ownership of every phase of the product development lifecycle and a track record of delivering custom software for external clients.

• At least 2 years of experience within or directly serving the institutional real estate sector, such as an owner-operator, REIT, private equity real estate firm, fund manager, or real estate technology or data vendor.

• Strong understanding of real estate financial and operational concepts, including rent rolls, operating statements, budgets versus actuals, T-12 statements, loan abstracts, JV waterfall summaries, WALT, DSCR, NOI, and equity funded versus committed.

• Hands-on experience with property accounting systems such as Yardi, MRI, or RealPage, plus at least one platform such as Juniper Square, Altrio, VTS, ARGUS, or Pereview.

• Experience delivering data platform products, such as data warehouses, data lakes, reporting, or BI solutions, where data accuracy and stakeholder trust are central to adoption.

• Strong understanding of data ingestion, mapping, reconciliation, data quality, exception handling, lineage, and immutable snapshots.

• Solid technical knowledge of LLM-based extraction, retrieval with cited sources, agent workflows, and human-in-the-loop approval processes, with the ability to translate business needs into actionable product and engineering specifications.

• Familiarity with the Microsoft data ecosystem, including Azure, Fabric or Synapse, and Power BI, as well as single sign-on, role- and fund-level permissions, audit logging, and test environments.

• Proven experience managing fixed-fee, milestone-based consulting engagements where payments depend on client acceptance, including defining clear acceptance criteria.

• At least 5–7 years of experience leading multidisciplinary teams across design, engineering, and data.

• Strong client-facing presence and confidence working with senior stakeholders such as CFOs, COOs, heads of asset management, and technology leaders.

• Analytical and data-driven approach, with the ability to define KPIs, investigate discrepancies, understand performance against plans, and make evidence-based decisions.

• Proficiency with project and collaboration tools such as Google Workspace, ClickUp, Figma, and Jira.

• Availability to overlap with US Eastern business hours for workshops, milestone reviews, and training.

Strongly preferred:

• Experience retiring or replacing an incumbent platform against a contractual deadline, including managing a parallel run.

• Familiarity with quarterly investor reporting, fund-level reporting, or due diligence questionnaire (DDQ) response processes.

• Experience with data governance, including ownership models, stewardship, and business-led approval of data mappings and thresholds.

Benefits:

• Remote work arrangement.

• Contract employment.

• Competitive compensation package, including equity and performance-based bonuses.

• Substantial participation in company profits.

• Potential growth path to C-level leadership based on performance.

• All-expenses-paid company retreats in unique locations.

• Salary range, healthcare coverage, and specific paid leave arrangements are not specified in the job description.