Job Summary

The AI Product Manager, Feasibility, Underwriting & Investment owns the AI products that help a global real-estate business decide where, what and when to invest. The role turns market research, site screening, feasibility studies, financial underwriting and investment-committee work into agentic AI tools that make decisions faster, more consistent across markets and fully traceable. The post holder combines deep real-estate investment experience with product management skills. They decide what to build, write the requirements AI engineers deliver, and prove through evidence that each product improves decision quality. Investment decisions always stay with people and the investment committee; the products give them better evidence, sooner.

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Key Focus Areas

1. Product Strategy
- Own and prioritize the AI product roadmap for market research, site acquisition, feasibility, underwriting, and investment approval.
- Evaluate buy/build/partner options with vendors and data providers.

2. Market & Site Intelligence
- Define AI agents for collecting and summarizing market and site-level data (comps, pipelines, trends, demographics).
- Specify tools for screening against zoning, planning, infrastructure, and company investment criteria.

3. Feasibility & Underwriting
- Design agents to draft feasibility studies and support complex financial modeling (e.g., IRR, NPV, scenario analysis).
- Build standard models/templates for cross-market comparability.

4. Investment Committee & Due Diligence
- Define AI tools to draft investment papers, risk summaries, and due diligence reviews-ensuring traceability and benchmarking.
- Implement pre-committee challenge tools for assumptions and comparables.

5. Evidence & Learning
- Back-test AI outputs on historic deals, integrate actual project outcomes into future assumptions, and run parallel pilots.

6.



Governance
- Maintain strong model risk management, data protection, and version control.
- Ensure compliance with confidentiality, licensing, and regulatory requirements. AI cannot make investment decisions-humans must approve.

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## Candidate Profile

### Essential Experience
- Bachelor's degree in Finance, Economics, Real Estate, Business, Engineering or a related field.
- 10+ years in real estate investment, with 6+ years in direct underwriting, feasibility, or development appraisal.
- Built and reviewed investment models and appraisals.
- Drafted investment committee materials and led acquisition due diligence.
- 3+ years in product management/analytics/technology roles, with at least one AI/data product launched.
- Experience investing in multiple countries/regions.

### Desirable
- Advanced degree (e.g. MBA, MSc in Real Estate Finance).
- Professional credentials (CFA, MRICS, CAIA).
- Experience with funds/joint ventures/capital raising, valuation standards (RICS, IVS), ESG/climate risk.

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## Technical Skills

- Excel: Advanced modeling for development/investment.
- Appraisal tools: Argus or similar.
- Market Data/GIS: Understanding of providers and tools.
- Quantitative Methods: Forecasting, regression, Monte Carlo analysis.
- AI: LLMs, document intelligence, agentic workflows, explainability.
- Product Delivery: Requirements writing, Agile, Jira.
- Data: Basic SQL, dashboarding (Power BI/Tableau), data quality.
- Responsible AI: Model risk, explainability, GDPR.

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## Core Competencies

- Robust investment judgment; understands what sways committees.
- Analytical rigor; challenges both human and AI assumptions.
- Comfort with uncertainty and probabilistic thinking.
- Influence and discretion with senior stakeholders.
- Standard-setting across diverse markets.
- Global perspective on markets and capital trends.

📌 AI Product Manager, Feasibility, Underwriting & Investment (India)
🏢 CSO HR Services
📍 India