# Product Director - Private Investments AI at G42

G42 is hiring a Product Director - Private Investments AI in Abu Dhabi, United Arab Emirates. Level rates it Works on AI ●●●○; you can [apply on G42](https://jobsbylevel.com/go/3ee0c9c1-8e96-4f08-81c8-1d7adb28f011?utm_medium=ai-agent).

AI Level 3, AI centrality 70 out of 100. Abu Dhabi, Abu Dhabi, United Arab Emirates.

## Details

- Company: [G42](https://jobsbylevel.com/companies/g42)
- AI level: AI Level 3 (score 70 out of 100)
- Location: Abu Dhabi, Abu Dhabi, United Arab Emirates
- Posted: October 23, 2026
- Apply: https://jobsbylevel.com/go/3ee0c9c1-8e96-4f08-81c8-1d7adb28f011?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=product-director-private-investments-ai-at-g42-b014ab

## Prepare for this job

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## Description

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai Overview: G42 is building the compute, cloud, and data foundations for advanced AI to work at scale across government, healthcare, energy, finance and more. Within G42, Inception42 turns that infrastructure into products people use. Our mission is to make advanced AI reliable, sovereign, and useful for some of the world's most important institutions and companies. Alpha, InSight and Vantage deliver domain-specific intelligence; Catalyst, our agentic platform, serves organisations that build and run agents while keeping sensitive data within the UAE. The opportunity We are looking for a hands-on Principal Product Manager with deep FinTech expertise to lead Alpha, Inception42's investment and credit AI product. You will own strategy, roadmap, and outcomes for institutional investors, lenders, and financial analysts. Translate emerging AI capabilities into investment research, due diligence, underwriting support, and portfolio monitoring workflows. Turn fragmented information into reviewable analysis, with clear evidence and user control. Success means accurate work, sustained adoption, and measurable customer value. You will lead cross-functional teams spanning Design, Engineering, Science, domain experts, and Growth. You will make difficult trade-offs, stay close to customers and product details, and mentor product managers. Responsibilities: Product strategy and customer discovery Define Alpha's vision, target segments, differentiation, and roadmap, connecting customer needs with emerging AI capabilities. Assess competitors, incumbent research tools, and in-house solutions to identify where Alpha can win. Work directly with analysts, portfolio managers, and credit teams to understand workflows, buying criteria, and adoption barriers. Use research, AI-assisted prototypes, and pilots to test hypotheses and demand, turning recurring needs into reusable workflows. Prioritise by customer impact, commercial potential, feasibility, and risk; make explicit build, defer, or stop decisions and coordinate shared capabilities with Catalyst. Investment and credit workflows Own requirements for opportunity screening, company and sector research, due diligence, valuation support, and investment committee materials. Develop credit workflows: financial statement, cash-flow, and debt-service analysis, downside scenarios, credit memos, covenant review, and portfolio monitoring. Define expected AI behaviour and acceptance criteria, supporting analyst review, versioning, and approval, with outputs in Excel, Word, and PowerPoint. Prioritise integrations with filings, transcripts, market and credit data, and deal rooms, and partner on data licensing and build-versus-partner decisions. AI product development and quality Translate user needs into AI requirements with Science and Engineering, including models, RAG, context, memory, tool use, and agent orchestration. Ensure reliable extraction and reconciliation across documents and tables, handling entities, periods, currencies, units, metric definitions, and conflicting sources. Make outputs traceable to source evidence, distinguishing reported facts, calculations, assumptions, and AI interpretations. Own evaluation rubrics, test sets, and analyst review for numerical accuracy, citations, completeness, and financial reasoning. Set release thresholds and monitor regressions. Define how agents handle fabricated outputs, incomplete evidence, and tool failures, with intervention, recovery, and approval paths that keep

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