Executive Search Success Story: Securing a Chief AI Officer to Drive Product Transformation for a Private-Equity-Backed Tampa Software Company

How JRG Partners executed a confidential Chief AI Officer search that equipped a private-equity-backed Tampa B2B software company with the enterprise AI leadership required to embed AI across its product suite, defend market position against AI-native competitors, and strengthen valuation ahead of a planned exit.

The Challenge

A Tampa-based B2B software company, recently acquired by a growth-oriented private equity sponsor, held a strong market position in its vertical but faced a new class of AI-native competitors winning deals on automation and intelligence features. The sponsor’s investment thesis depended on transforming the product suite with AI within a defined hold period. Executive leadership identified several critical vulnerabilities threatening their market position:

• Competitive losses to AI-native entrants in new business and renewal cycles
• AI features shipped as isolated experiments with no product-wide strategy or architecture
• A CTO fully occupied with platform stability and lacking capacity for AI leadership
• Sponsor requirements for a credible AI narrative and measurable product impact before exit
• Difficulty recruiting senior AI product leaders away from larger technology markets
• Board concern that customers perceived the company as behind on innovation

Recognizing that AI transformation required dedicated executive ownership, the CEO and sponsor created a Chief AI Officer position with authority over AI product strategy, machine learning platform, and cross-functional delivery. The mandate also included a VP of AI Product and a Director of Machine Learning Platform. The company required an executive search partner with proven private equity experience and access to AI leaders who had transformed established software products.

Why They Chose JRG Partners

Private Equity Portfolio Search Experience

JRG Partners has extensive experience serving private equity sponsors and portfolio companies, with a clear understanding of value-creation timelines, board expectations, and the urgency of executive placements tied to exit planning.

AI Product Leadership Networks

Our dedicated AI executive search practice maintains active relationships with Chief AI Officers, AI product leaders, and machine learning platform executives across SaaS, enterprise software, and AI-native organizations nationwide.

Tampa Bay Market Positioning

As a Florida-based firm, JRG Partners knows how to present Tampa Bay’s expanding technology sector, cost of living, and lifestyle advantages as competitive differentiators against traditional software hubs.

Our Executive Search Strategy

Phase 1 — Value-Creation Alignment

Our consultants partnered directly with the CEO, sponsor operating partners, and CTO to define the Chief AI Officer’s mandate, success metrics tied to the value-creation plan, and the division of responsibility between the new role and existing product and engineering leadership.

Phase 2 — Talent Identification & Mapping

Our research team performed an extensive talent mapping initiative targeting AI leaders who had embedded AI across established software products at SaaS companies, enterprise platforms, and AI-native firms. Over 340 executive profiles were systematically assessed for product transformation results and commercial impact.

Phase 3 — Candidate Engagement

Priority during outreach was given to executives with a documented history of launching AI capabilities that increased retention, pricing power, or win rates, and who had operated successfully under private equity ownership. Only candidates meeting these strict performance baselines advanced.

Phase 4 — Selection Process

Finalists presented an AI product transformation roadmap to the executive team and sponsor, followed by structured leadership assessments and reference verification focused on quantified product and revenue outcomes.

Key Outcomes

• 340+ AI product and platform executive profiles mapped across SaaS, enterprise software, and AI-native companies.
• Placed the company’s first Chief AI Officer in 51 days with authority spanning product strategy, platform, and delivery.
• Improved competitive win rates against AI-native entrants through a unified AI product strategy.
• Supported net revenue retention gains and premium pricing through AI-enabled product tiers.
• Built a three-role AI leadership structure spanning strategy, product, and machine learning platform.
• Strengthened exit positioning with a measurable, board-validated AI transformation story.