Senior Manager - Investment AI Platform; Market Specialist SME

Inception
42, 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.inception
42.ai

We are looking for a Senior Manager - Investment AI Platform to serve as the resident investment practitioner within the (in)
Alpha product team. You will translate how investment professionals screen opportunities, run diligence, prepare committee materials, and monitor portfolios into product requirements and clear standards for analytical quality.

You will work closely with product, engineering, AI, growth, and client investment teams. The role combines deep product contribution with a substantial client-facing remit, representing (in)
Alpha as a credible peer to private equity, private credit, venture, sovereign wealth, and other institutional investors.

This is a permanent, full-time individual-contributor role with significant influence over the platform and no direct reports  will operate in a fast-moving product environment where priorities evolve and strong judgment, precise communication, and high ownership are essential.

• Define how (in)
  Alpha modules should behave against real investment practice, including screening, diligence work streams, data-room handling, investment committee materials, and portfolio monitoring and reporting.
• Author and maintain the reference artefacts that guide product development, including model investment committee memos, diligence question sets, decision criteria, scoring frameworks, and peer-benchmarking conventions.
• Work through backlog refinement with product and engineering, resolving practitioner-level questions on scope, behaviour, and edge cases before features are built.
• Pressure-test proposed features against fund governance, regulated processes, committee dynamics, and judgment-led decisions; identify where a workflow will fail in real deal-team use.
• Review AI-generated memos, summaries, comparables, extracted metrics, and monitoring insights for analytical soundness, appropriate treatment of uncertainty, and correct use of source evidence.
• Define the quality bar for each analytical output and work with the AI team to translate investment judgment into evaluation criteria that can be tested consistently across releases.
• Identify plausible but incorrect outputs, including misread covenants, misstated valuation logic, and false peer matches, and drive each issue to resolution with clear ownership.
• Set standards for citation, traceability, and source transparency so analysts can defend platform-generated figures and conclusions in front of an investment or credit committee.
• Lead the investment-domain contribution to product demonstrations, discovery sessions, and executive conversations with funds, sovereign wealth institutions, and other investors.
• Run design-partner relationships end to end, eliciting workflow detail at the level of individual artefacts and converting evidence into prioritized product input.
• Support deployments by advising client teams on how to configure templates, taxonomies, decision criteria, and existing diligence or committee processes within the platform.
• Contribute domain substance to proposals, RFP responses, and thought-leadership material in support of commercial teams, without direct ownership of the revenue target.
• Maintain a practitioner’s view of the competitive landscape and GCC market requirements, including…