Senior AI Product Manager

Future Works

. Lead delivery of custom data and AI platforms for institutional real estate owners, operators and fund managers .

Posted 11/2/2026contractRemote • New York • United States, CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management within institutional real estate, leading the full product development lifecycle and delivering custom software solutions. Proficient in data governance, financial analysis, and stakeholder collaboration to ensure successful project execution and client satisfaction.

Highest-signal resume keywords

Product ManagementInstitutional Real Estate ExperienceData GovernanceFinancial AnalysisStakeholder Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Development LifecycleData MappingData Quality RulesKPI DefinitionData WarehouseData LakeLLM-Based ExtractionBusiness Requirements SpecificationFixed-Fee ConsultingFinancial Reporting

Soft Skills

LeadershipCommunicationProblem-SolvingCollaborationTraining

Tools & Technologies

YardiMRIRealPageAzurePower BIClickUpFigmaJiraJuniper SquareVTS

Industry Keywords

Institutional Real EstateAsset ManagementFinancial MetricsData GovernanceInvestor Reporting

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Lead delivery of custom data and AI platforms for institutional real estate owners, operators and fund managers
Own fixed-fee, fixed-date engagements of roughly sixteen weeks as the day-to-day lead
Lead the full product development lifecycle across discovery workshops, data mapping, platform build, views, training and handover
Define gate criteria, evidence and client acceptance before signature
Translate ambitious scope into deliverables for one cycle and manage changes to keep fixed fees fixed
Set a value baseline with client finance and measure against it
Lead source mapping, data quality rules, exception routing, lineage and locked snapshots
Run workshops with asset management, finance, investor relations, deal teams and technology
Turn stakeholder input into view specifications, KPI definitions and acceptance criteria
Collaborate with engineering and data science on agent-based mapping, document extraction, cited-source retrieval and drafted commentary
Keep reported financial figures on fixed, auditable calculations approved by the client
Serve as primary working-level contact for executive sponsor, business owner and technology lead
Report progress clearly and surface problems early
Plan history migration, parallel run and sign-off for retiring incumbent systems
Train teams by role and transfer documentation and operating knowledge to the client's platform owner

Requirements

What you’ll need

Minimum 5 years in product management with hands-on ownership of every phase of the PDLC, delivering custom software for external clients
At least 2 years inside or directly serving institutional real estate
Ability to read a rent roll, operating statement, budget vs actual, T-12, loan abstract and JV waterfall summary
Understanding of WALT, DSCR, NOI and equity funded vs committed
Hands-on exposure to a property accounting system such as Yardi, MRI or RealPage
Exposure to Juniper Square, Altrio, VTS, ARGUS or a portfolio and asset management platform such as Pereview
Experience shipping a data warehouse, data lake, reporting or BI product
Ability to make product decisions regarding ingestion, mapping, reconciliation, data quality rules, exception handling, lineage and immutable snapshots
Strong grasp of LLM-based extraction, retrieval with cited sources, agent workflows and human-in-the-loop approval
Ability to turn business requirements into specifications for design and engineering
Familiarity with Azure, Fabric or Synapse, Power BI, single sign-on, role and fund-level permissions, audit logging and test environments
Track record with milestone or gate-based fixed-fee consulting engagements
5 to 7+ years leading multidisciplinary teams
Comfortable working with CFOs, COOs, heads of asset management and heads of technology
Ability to define KPIs, interrogate data, identify divergence between actuals and plans, and make evidence-based decisions
Proficiency in GSuite, ClickUp, Figma and Jira
Availability for overlap with US Eastern business hours
Experience retiring or replacing an incumbent platform against a contract date, including a parallel run (strongly preferred)
Experience with quarterly investor reporting, fund-level reporting or DDQ response processes (strongly preferred)
Data governance experience, including ownership models, stewardship, and business approval of mappings and thresholds (strongly preferred)

Benefits

Comp & perks

All-expenses-paid company retreats in unique locations
Competitive compensation package including equity
Bonuses
Substantial participation in company profits
Clear growth path to C-Level leadership based on performance