Product Director - Private Investments AI

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:

We are looking for a hands-on Product Director 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 discovery
• Define Alpha’s vision, target markets, differentiation and roadmap, aligning customer needs with emerging AI capabilities.
• Engage investment analysts, portfolio managers, credit teams and senior decision-makers to understand workflows, buying criteria and adoption barriers.
• Assess competitors and alternatives; validate demand through research, AI-assisted prototypes and pilots. Prioritise by customer value, commercial potential, feasibility and risk, coordinating 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 workflows for financial statement analysis, cash-flow and debt-service assessment, downside scenarios, credit memos, covenant review and portfolio monitoring.
• Define AI behaviour and acceptance criteria, enabling analyst review, collaboration, versioning and approval, with Excel, Word and PowerPoint outputs.
• Prioritise integrations with filings, transcripts, market and credit data, internal research and deal rooms; guide licensing, access rights and build-versus-partner decisions.

AI development, quality and governance
• Partner with Science and Engineering on models, retrieval-augmented generation, prompts, context, memory, tools and agent orchestration.
• Ensure accurate extraction and reconciliation across documents and tables, accounting for entities, periods, currencies, units, metric definitions, freshness and conflicting evidence.
• Make outputs traceable to sources, separating reported facts, calculations, assumptions and AI interpretations, with reliable calculation tools and reviewable inputs.
• Own evaluation frameworks, test sets, analyst reviews and release thresholds for numerical accuracy, citations, completeness, financial reasoning and task success; monitor regressions and feedback.
• Define safeguards for fabricated outputs, missing evidence, tool failures and long-running actions, with intervention, recovery and approval paths.
• Embed AI disclosure, permissions, audit trails and sovereign data residency. Partner with Security, Legal, Risk and Compliance on confidentiality, material non-public information and information barriers.
• Agree approved uses and validation evidence with customer governance teams; assess English and Arabic content for language quality, numerical fidelity and localisation.

Delivery and commercial outcomes
• Lead discovery, launch and iteration across Design, Engineering, Science, domain experts and Growth, balancing scope, readiness, quality, reliability, latency and cost.
• Own the business case and product performance; support pricing, packaging, positioning and enterprise sales, accounting for data, inference, review and support costs.
• Convert pilots into sustained adoption through repeatable onboarding, workflow templates and training.
• Track task success, time to validated analysis, errors, corrections and abandonment alongside adoption, conversion, retention, expansion and unit economics.

Leadership
• Align technical, financial and commercial stakeholders on priorities and trade-offs; communicate effectively with customers and leadership.
• Mentor product managers, support hiring and strengthen discovery, evaluation and product reviews while remaining hands-on with experiments, feedback and production performance.

## Qualifications:

# What We’re Looking For

•   10+ years in product management or closely related roles, with substantial ownership of complex products at senior or principal level and a record of launching and scaling financial technology.

•   Knowledge of institutional investment or credit workflows, with working fluency across both.

•   Experience building products for analysts, investment teams, lenders, or risk professionals.

•   Strong understanding of financial statements, valuation, leverage, and credit risk.

•   Ability to interrogate financial models and challenge analytical assumptions.

•   Experience delivering enterprise software with measurable adoption and commercial impact, including direct customer discovery and engagement with senior financial stakeholders.

•   Experience taking AI-powered products, such as agents, copilots, or intelligent workflows, from concept to production and measurable adoption.

•   Practical fluency in large language models, retrieval-augmented generation, context, memory, tool use, and evaluations. Ability to reason with technical teams about quality, latency, reliability, and cost.

•   Hands-on use of AI tools to prototype workflows, test model behaviour, and accelerate research, analysis, or delivery.

•   Strong analytical and commercial skills, including hands-on use of Excel, SQL, or comparable tools to investigate data, test hypotheses, and measure outcomes.

•   Clear written and verbal communication, leadership across functions, and sound judgement in ambiguous environments where accuracy and customer trust are critical.

•   A bachelor's degree in finance, economics, computer science, engineering, business, or a related field, or equivalent practical experience.

•   Sound product judgement and financial rigour: test assumptions against customer evidence, check the numbers, and change direction when warranted.

•   Hands-on ownership and collaborative leadership: experiment to resolve uncertainty, welcome challenge, and stay accountable for outcomes beyond launch.

#

Nice to Have

•   Prior investment banking, asset management, private equity, private credit, corporate lending, or credit research experience alongside product leadership.

•   Experience with financial data providers, document intelligence, financial modelling tools, or enterprise integrations and data-access controls.

•   Experience with financial institutions, sovereign deployment, and regulated enterprise procurement. Arabic language ability and bilingual product experience are advantages.

•   CFA, FRM, or another relevant finance qualification; or similar practical depth in investment or credit analysis.

What We Look For If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community.   What Working At Inception42 Offers   Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations. Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects. Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.   If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.