Senior AI Product Manager
J
JobgetherInstitutional real estate
Based in the United States, Availability to work with significant overlap with US Eastern business hoursFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 5 years of product management experience; Minimum 2 years of experience within or directly serving the institutional real estate sector; At least 5–7 years of experience leading multidisciplinary teams across product, design, engineering, and data functions.
- Required Skills
- Microsoft Power BIProduct Management
Requirements
- At least 5 years of product management experience, with hands-on ownership of the full product development lifecycle.
- Proven track record delivering custom software solutions for external clients.
- At least 2 years of experience within or directly serving the institutional real estate sector.
- Strong understanding of institutional real estate operations and financial concepts, including rent rolls, operating statements, T-12 statements, WALT, DSCR, and NOI.
- Experience with property accounting platforms such as Yardi, MRI, or RealPage, and at least one real estate investment or portfolio management solution.
- Experience delivering data platform products such as data warehouses, data lakes, reporting solutions, or business intelligence platforms.
- Strong technical understanding of LLM-based information extraction, retrieval-augmented generation with cited sources, agent-based workflows, and human-in-the-loop approvals.
- Familiarity with Azure, Microsoft Fabric, Synapse, Power BI, single sign-on, role-based and fund-level permissions, audit logging, and testing environments.
- Experience managing fixed-fee consulting engagements and milestone-based delivery, including acceptance criteria and contractual commitments.
- At least 5–7 years of experience leading multidisciplinary product, design, engineering, and data teams.
- Strong client-facing and executive communication skills, analytical and problem-solving capabilities, KPI development, and financial analysis.
- Proficiency with Google Workspace, ClickUp, Figma, and Jira; availability for significant overlap with US Eastern business hours.
Responsibilities
- Lead product delivery from discovery and requirements gathering through platform development, user acceptance, training, and handover.
- Define milestones, delivery gates, acceptance criteria, budgets, and measurable outcomes with clients.
- Manage scope changes, prioritize requirements, and ensure contractual commitments and deadlines are met.
- Coordinate source-system mapping, data quality rules, reconciliation, exception management, data lineage, and immutable snapshots.
- Facilitate workshops with asset management, finance, investor relations, investment, and technology stakeholders.
- Translate business needs into product specifications, KPI definitions, dashboards, reporting views, and acceptance criteria.
- Identify and implement AI agents and automation for data mapping, document extraction, information retrieval, and reporting.
- Manage client relationships, project progress, expectations, risks, and escalations.
- Coordinate historical data migration, parallel testing, platform validation, and legacy-system retirement.
- Establish value baselines and track outcomes while improving data governance, operational efficiency, and AI-enabled workflows.
View Full Description & ApplyYou'll be redirected to the employer's site
