Chief Product Officer (saas Ia)

• Own the product strategy and roadmap end-to-end, working in close partnership with the CEO to define and execute the product vision.
• Identify and drive opportunities where LLMs and AI can transform every layer of the platform, including chat assistance, quality assurance, fan segmentation, performance analytics, automation building, onboarding, and support.
• Lead, mentor, and scale the product team, setting a high bar for product craftsmanship, discovery practices, and execution excellence.
• Maintain continuous and direct engagement with clients, treating agencies as design partners-prioritizing regular, hands-on conversations alongside data-driven insights.
• Collaborate closely with engineering to deliver AI-powered features that perform reliably in production environments, with a strong focus on quality, latency, and sustainable uniteconomic.

Opportunity to scale a differentiated product

A mid-sized technology firm specializing in enterprise software solutions, focused on delivering scalable and customizable digital platforms for business operations. The company offers a range of services including application development, system integration, and cloud-based solutions, primarily targeting organizations seeking to modernize their workflows and improve operational efficiency.

With a strong emphasis on innovation, the organization combines agile methodologies with a client-centric approach, ensuring that each solution is tailored to specific industry needs. Its portfolio includes tools for process automation, data management, and customer experience optimization.

We seek a Head of Product to turn its CRM into an AI-first platform. The role includes defining strategy with the CEO, embedding AI across features, leading the product team, working with clients, and delivering reliable, scalable AI solutions in a SaaS environment.

• GLOBAL
• Business impact

• 7+ years in product, with meaningful time in senior or lead roles at a B2B SaaS company.
• Demonstrated track record shipping LLM-powered features that real customers use not prototypes, not demos. You can speak credibly about prompt design, evals, model selection, latency tradeoffs, and the gap between "it works in a notebook" and "it works for paying customers."
• Experience at an AI-native or AI-transitioning SaaS company. Intercom is the canonical reference. Other strong backgrounds: Zendesk AI, Notion AI, Linear, HubSpot's AI products,
• Gong, ClickUp, customer-support or workflow automation platforms making the AI shift.
• Strategic and hands-on.
• Client-facing energy.