Product Director - Private Investments AI

About the Role
We are seeking a hands-on Principal Product Manager with deep FinTech expertise to lead Alpha, the company's investment and credit AI product. This role entails owning the strategy, roadmap, and outcomes for institutional investors, lenders, and financial analysts. You will be responsible for transforming emerging AI capabilities into investment research, due diligence, underwriting support, and portfolio monitoring workflows, while ensuring accurate work, sustained adoption, and measurable customer value.

Responsibilities
Product Strategy and Customer Discovery

• Define Alpha's vision, target segments, differentiation, and roadmap, linking customer needs with emerging AI capabilities.
• Assess competitors, existing research tools, and in-house solutions to identify Alpha's market advantages.
• Collaborate directly with analysts, portfolio managers, and credit teams to comprehend workflows, buying criteria, and adoption barriers.
• Utilize research, AI-assisted prototypes, and pilots to validate hypotheses and convert recurring needs into reusable workflows.
• Prioritize features based on customer impact, commercial potential, feasibility, and risk; coordinate shared capabilities with the Catalyst platform.

Investment and Credit Workflows

• Own requirements for opportunity screening, company and sector research, due diligence, valuation support, and investment committee materials.
• Develop credit workflows for financial statement, cash-flow, and debt-service analysis, downside scenarios, credit memos, covenant review, and portfolio monitoring.
• Define expected AI behavior and acceptance criteria to support analyst review and approval processes, delivering outputs in Excel, Word, and PowerPoint.
• Prioritize integrations with filings, transcripts, market and credit data, and deal rooms, partnering on data licensing and build versus partner decisions.

AI Product Development and Quality

• Translate user needs into AI requirements with Science and Engineering, covering models, retrieval-augmented generation, context, memory, tool use, and agent orchestration.
• Ensure reliable extraction and reconciliation of information across documents and tables, addressing entities, periods, currencies, metrics, and conflicting sources.
• Maintain traceability of outputs to source evidence, distinguishing reported facts, calculations, assumptions, and AI interpretations.
• Develop evaluation rubrics, test sets, and analyst review processes for numerical accuracy, citations, completeness, and financial reasoning.
• Define how agents should handle fabricated outputs, incomplete evidence, and tool failures, implementing intervention and approval pathways that keep users in control.
• Build in AI disclosure, permissions, audit trails, and data residency, collaborating with Security, Legal, and Risk on confidentiality and information barriers.
• Define approved usage and validation evidence alongside customers’ governance teams, evaluating English and Arabic financial content for quality and localization.

Delivery and Commercial Outcomes

• Lead discovery through launch and iteration, balancing new capabilities with quality, reliability, latency, and cost.
• Own Alpha's business case and performance, working on pricing, packaging, positioning, and sales enablement, considering data, inference, and review costs.
• Facilitate the transition from pilots to sustained production use with customer success teams through repeatable onboarding, templates, and training.
• Measure task success, time to validated analysis, and material errors, alongside adoption metrics, pilot conversion, retention, and unit economics to guide development priorities.

Leadership and Influence

• Align technical, financial, and commercial stakeholders on priorities and trade-offs.
• Communicate effectively with investment and credit leaders, enterprise buyers, and internal leadership.
• Mentor product managers, contribute to talent acquisition, and maintain hands-on involvement with experiments, customer feedback, and product performance.

Qualifications

• 10+ years in product management or closely related roles, with substantial ownership of complex financial products at a senior or principal level, demonstrating a record of launching and scaling financial technology.
• Knowledgeable of institutional investment or credit workflows, with proficiency in both fields.
• Experienced in building products for analysts, investment teams, lenders, or risk professionals.
• Strong grasp of financial statements, valuation, leverage, and credit risk assessment.
• Proven ability to interrogate financial models and challenge analytical assumptions.
• Effective in delivering enterprise software that achieves measurable adoption and commercial impact, involving direct customer discovery and engagement with senior financial stakeholders.
• Demonstrated capability in guiding AI-powered products, including agents, copilots, or intelligent workflows, from concept to production and measurable adoption.
• Practical knowledge of large language models, retrieval-augmented generation, context, memory, tool utilization, and evaluations.
• Hands-on experience with AI tools for prototyping workflows, testing model behavior, and expediting research, analysis, or delivery.
• Strong analytical and commercial skills, including adeptness with Excel, SQL, or similar tools for data investigation, hypothesis testing, and outcome evaluation.
• Excellent written and verbal communication skills, with the ability to exert influence across functions and make sound judgments 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.

Preferred Qualifications

• Experience in investment banking, asset management, private equity, private credit, corporate lending, or credit research roles alongside product leadership experience.
• Familiarity with financial data providers, document intelligence, financial modeling tools, or enterprise integrations and data-access protocols.
• Background in financial institutions, sovereign deployment, and regulated enterprise procurement; proficiency in Arabic and bilingual product experience is a plus.
• Possession of CFA, FRM, or another relevant finance qualification, or a similar depth of practical knowledge in investment or credit analysis.

What We Look For

• Sound product judgment and financial rigor: test assumptions against customer evidence, verify numbers, and be willing to change direction as warranted.
• Proactive ownership and collaborative leadership: engage in experiments to resolve uncertainty, embrace challenges, and remain accountable for outcomes beyond launch.

What Working At the company Offers

• Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on groundbreaking, industry-first innovations.
• Career: Outstanding learning, development, and growth opportunities through structured training programs and innovative, high-tech projects.
• Rewards: A competitive remuneration package with various perks including healthcare, education support, leave benefits, and more.