Product Manager

dCortex.AI is hiring a Product Manager to define the direction and commercial offerings for its AI-powered airline operations platform. The role owns product discovery, roadmap and prioritization, agent workflow design, and delivery of repeatable solutions in partnership with engineering, customer success, GTM, and finance.

Responsibilities:

• Build a clear picture of the platform: live customer usage, open commitments, implementation patterns, and the top three gaps between promised and delivered value
• Draft the 12-month roadmap with the CPO and key stakeholders: clear themes, decision criteria, what we are not doing, and named owners
• Spend time with airline operations users (controllers, crew and ops teams), not only IT, and define success measures for priority workflows: adoption, output quality, human-review rate and operational impact
• Apply the common-platform rule (standard product first, per-airline configuration second) to every new implementation, make the product-versus-services line explicit, and bring exceptions to the CPO for a decision
• Lead one prioritized use case from roadmap to production, with measured operational impact
• Build a value model with Finance that links outcomes (for example recovery time or cost avoided) to price
• Launch a repeatable solution package for the airline operations domains, with defined scope, entitlements, implementation effort and commercial assumptions
• Have a commercial model validated by GTM and Finance and used in every proposal
• Complete discovery and requirements for the next operational domain in the agreed sequence, with implementation effort on the next airline measurably lower than the last
• Roadmap and prioritization: weighing customer value, revenue, feasibility and reuse across airlines; running the discovery and prioritization rhythm with Engineering, Customer Success, GTM and Finance; and killing low-impact work early
• Discovery: turning messy airline reality (legacy systems, incomplete data, decisions that span crew, network and ground) into clear requirements and acceptance criteria
• Agent workflow design and AI quality: what agents do, where humans stay in the loop, and what “ready to deploy” means
• Add-on modules: requirements, backlog and release plan for assigned modules
• Commercial inputs: module definitions, packaging options, pricing evidence and business cases. The CPO, Finance and GTM make the final call
• Enablement: positioning, use-case stories, demos and release materials for GTM and Customer Success
• Feedback loop: win/loss, usage, support and renewals fed back into the roadmap

Requirements:

• 8+ years in product management, including 3+ years owning an enterprise B2B product from discovery through launch and iteration
• Experience with AI-enabled products such as agents, automation or decision-support systems
• Hands-on work with commercial teams on packaging, pricing or business cases, not just feature delivery
• Proven judgement in separating scalable product from one-off customization
• Experience integrating with enterprise systems in operationally critical or regulated environments
• Enough technical fluency to challenge engineering trade-offs, with no coding required
• Clear communication with engineers, commercial teams and airline executives; you drive decisions through influence, not direct reports
• Articulate and client-facing: comfortable in front of airline operations leaders and executives, explaining product trade-offs in plain language and driving decisions through influence, not direct reports
• Airline operations, travel tech, crew management, OCC or airport operations
• An early-stage or 0→1 chapter where you built without large support teams
• Mixed commercial models: subscription, usage- or value-based pricing, and implementation services
• Multi-country enterprise customers with long, consultative sales cycles