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Unframe Appoints Three Senior Executives After Reaching $100 Million In Contract Value And 400% Net Revenue Retention

Unframe AI has strengthened its executive leadership team with three senior hires as it scales following rapid commercial growth, including $100 million in total contract value and 400% net revenue retention.
August 6, 2026
Portfolio News

Unframe AI has appointed Jonathan Pogact as Vice President of Marketing, Lior Hakimi as Vice President of Finance, and Chris Slovak as Global Field Chief Technology Officer to support the company’s next phase of growth. The appointments expand leadership across marketing and sales pipeline development, financial operations, and enterprise technical strategy. The company said the hires follow a breakout period in which it reached $100 million in total contract value, achieved 400% net revenue retention, and brought total funding to $100 million. The new executives will focus on building the organizational infrastructure needed to turn this momentum into sustained enterprise growth.

Pogact brings more than two decades of B2B marketing experience, including six years leading marketing at Seamless.AI, and will focus on strengthening Unframe’s market positioning, brand and sales pipeline. Hakimi, who previously held senior finance roles at Optimove, Browzwear and Onebeat, will build the financial systems and planning processes needed to support a larger organization and growing customer commitments. Slovak joins after eight years at Tealium, where he led global solutions consulting, and will work directly with enterprise customers to translate complex AI and data challenges into measurable business outcomes.

The appointments reflect Unframe’s broader strategy of moving enterprises from AI experimentation to measurable operational transformation. CEO and co-founder Shay Levi said the three executives bring experience suited to the company’s current stage and future growth. Unframe plans to continue hiring across the organization as it expands its customer base and enterprise-wide deployments, with the company positioning its use-case-driven approach as a way for customers to validate one AI application, demonstrate its value, and then scale successful implementations across the business.

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