Senior AI Product Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Product Manager based in the United States.

We are seeking an experienced Senior AI Product Manager to lead the development and delivery of innovative AI-powered data platforms for institutional real estate owners, operators, and investment managers. In this highly autonomous role, you will oversee end-to-end product delivery, transforming complex business requirements and fragmented data ecosystems into reliable, intelligent solutions. You will manage fixed-fee, milestone-based engagements, taking ownership of project scope, timelines, budgets, and client relationships.

Working closely with multidisciplinary teams across engineering, data, architecture, and business functions, you will ensure that every solution delivers measurable operational value. You will also play a key role in integrating AI agents, advanced analytics, and automation into enterprise workflows while maintaining data accuracy, transparency, and accountability. This is an opportunity to shape the future of AI-enabled professional services in a high-performance, remote-first environment that values innovation, precision, and continuous improvement.

Lead the complete product development lifecycle, from discovery workshops and requirements gathering to data mapping, platform development, user acceptance, training, and final handover. Ensure delivery against agreed budgets, milestones, and fixed deadlines.

Define project milestones, delivery gates, acceptance criteria, and measurable outcomes in collaboration with clients. Translate ambitious business objectives into realistic delivery plans, manage scope changes, prioritize requirements, and ensure contractual commitments are met.

Establish reliable data foundations by coordinating source-system mapping, data quality rules, reconciliation processes, exception management, data lineage, and immutable snapshots. Work closely with technical teams to ensure data accuracy and consistency before developing reporting and analytical solutions.

Facilitate workshops with asset management, finance, investor relations, investment teams, and technology stakeholders. Translate business needs into detailed product specifications, KPI definitions, dashboards, reporting views, and acceptance criteria.

Identify opportunities to integrate AI agents and intelligent automation into business processes, including data mapping, document extraction, information retrieval, and automated reporting. Collaborate with engineering and data science teams to implement LLM-based solutions while ensuring financial reporting relies on auditable calculations and approved data.

Serve as the primary day-to-day contact for executive sponsors, business owners, and technology leaders. Communicate project progress, manage expectations, address risks, and proactively escalate challenges with clear recommendations.

Coordinate historical data migration, parallel testing, platform validation, and retirement of legacy systems. Ensure successful implementation, user adoption, and knowledge transfer before project completion.

Develop role-specific training programs and comprehensive documentation. Transfer operational knowledge to client platform owners, enabling internal teams to maintain, operate, and further develop the implemented solutions.

Establish measurable value baselines with client finance teams and track business outcomes throughout delivery. Identify opportunities to improve product processes, data governance, operational efficiency, and AI-enabled workflows.

• At least 5 years of product management experience, with hands-on ownership of the full product development lifecycle and a proven track record delivering custom software solutions for external clients.
• Minimum 2 years of experience within or directly serving the institutional real estate sector, including owner-operators, REITs, private equity real estate firms, fund managers, or real-estate technology and data providers.
• Strong understanding of institutional real estate operations and financial concepts, including rent…