The Product Manager for AI Agents is responsible for ensuring the AI Agent product achieves product-market fit and can be successfully sold, positioned, and scaled across ibex.
This role serves as the commercial owner of the product, bringing together market intelligence, partner capabilities, client feedback, competitive insights, solution messaging, ROI models, sales enablement, and knowledge management into a single commercialization strategy.
The Product Manager works across Product Partners, Sales, Marketing, Wave iX Solutions, Operations, and Technology to ensure the product evolves in response to both market demand and operational realities. This role is also the primary commercial counterpart to the platform partners’ account teams (Account Executive and Solutions Engineering), responsible for translating the partners’ product roadmaps and proof points into ibex-branded commercial assets, and for identifying co-selling opportunities.
This role does not own engineering, implementation, or delivery. Instead, it supports the SVP, Wave iX Commercial in ensuring that the commercial organization always knows what to sell, why clients buy it, how to differentiate it, and how to position ibex as the enterprise AI operating partner.
Responsibilities include:
Maintain and expand the vertical playbook (currently five verticals: software/high-tech, healthcare, fintech, retail/e-commerce, telco) in partnership with the platform partner's account team, including new verticals as demand emerges
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Outputs include:
Examples:
Each use case includes:
Develop / maintain:
Ensure consistent messaging across Sales, Marketing, Client Success, and Executive Leadership. Maintain a clear internal delineation between white label-safe messaging (client-facing, no vendor names) and partner-facing technical detail (internal only), ensuring reps never inadvertently disclose the underlying platform partnership in client conversations, proposals, or RFP responses. Own the objection-handling FAQ as a living asset, continuously updated rather than treated as a one-time deliverable.
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Measure adoption and continuously improve these assets. Own and continuously refine the demo sequencing playbook based on live deal feedback (e.g. leading with lower-risk, non-revenue intents before higher-stakes automation, per lessons learned from active deals). Maintain a standing ROI calculator template (cost-per-ticket, automation rate, resolution fee structure) so reps are not building bespoke models per prospect.
Responsibilities include:
Includes:
Ensure knowledge is searchable, reusable, and continuously updated. Build this repository to extend existing collateral already in place rather than duplicate it in a new system. Refresh ROI benchmarks quarterly directly from the platform partner's evolving proof-point set, since resolution rate, cost reduction, and time-to-production figures update as new customers go live.
Ensure commercial commitments remain aligned with delivery capabilities, including the platform partner's Solutions Engineering team by name, for deal-specific technical scoping (e.g. custom demo builds, POC frameworks)
Core Competencies
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