
5001 - 10000 employees
🤝 B2B
💼 Consulting
B2B • Consulting
Circana is a market research company that specializes in measuring and accelerating demand for brands. They utilize big data and an AI data-visualization platform to tackle complex business challenges, guiding clients through innovation and meeting consumer demand. With over a century of combined experience from their legacy as IRI and NPD, Circana serves more than 7,000 global brands and retailers, providing insights into both online and in-store purchasing behavior. Their expertise is recognized by prominent media outlets including Bloomberg, CNBC, and The New York Times.
🕒 June 6
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5001 - 10000 employees
🤝 B2B
💼 Consulting
B2B • Consulting
Circana is a market research company that specializes in measuring and accelerating demand for brands. They utilize big data and an AI data-visualization platform to tackle complex business challenges, guiding clients through innovation and meeting consumer demand. With over a century of combined experience from their legacy as IRI and NPD, Circana serves more than 7,000 global brands and retailers, providing insights into both online and in-store purchasing behavior. Their expertise is recognized by prominent media outlets including Bloomberg, CNBC, and The New York Times.
• Define and deliver Circana’s enterprise A ‑ 2 ‑ A strategy aligned with business priorities and client needs • Establish Circana as a leader in agent-based collaboration and AI-driven platform ecosystems • Own and evolve the reference architecture for A ‑ 2 ‑ A communication across internal and external systems • Enable integration between client-owned AI agents and Circana’s AI platforms • Build, lead, and scale a high-performing team of platform leaders, architects, and engineers
• 15+ years of experience in enterprise SaaS, platform engineering, AI systems, or distributed architectures • 7+ years in senior leadership roles (Director, VP, or equivalent) with responsibility for platform strategy and delivery • Deep expertise in AI agent architectures, orchestration frameworks, and LLM-powered systems • Hands-on experience with multi-agent systems, A ‑ 2 ‑ A communication models, and context-sharing protocols (e.g., MCP) • Proven ability to operate at both strategic and technical levels, influencing architecture and execution • Experience integrating with major AI ecosystems (e.g., Microsoft Copilot, Google Gemini, Anthropic Claude) • Background in data-intensive, analytics-driven SaaS environments • Strong executive presence with demonstrated success in client-facing and partner-facing roles
• paid time off • medical/dental/vision insurance • 401(k)
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