Lead Product Manager - Segmentation and AI

Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through continuous, context-driven action.

Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.

We’re looking for a Lead Product Manager to define and drive the strategy, roadmap, and execution of a core segment of our Enterprise Segmentation and next-generation AI products. This role will own our core Enterprise Segmentation capabilities powering Treasure AI’s Context Engine/Intelligent Customer Data Platform and building agentic AI products that marketers and enterprises can rely on to automate complex workflows, make smarter decisions, and deliver personalized customer experiences at scale.

This is not a traditional PM role. We want a builder-PM: someone who can harness the latest AI tools (Claude, RAG systems, multimodal models, etc.), prototype quickly, and collaborate deeply with engineering and design to turn ideas into live products.

• Own the product vision & roadmap for a key segment of Treasure Data’s Context Engine/Intelligent Customer Data Platform capabilities such Enterprise Segmentation.
• Own the product vision & roadmap for a key segment of Treasure Data’s agentic AI products, contributing to the overall success of AI Suites and AI Agents.
• Design & prototype AI workflows:
  Use modern AI tools yourself to build working demos and validate feasibility before engaging engineering.
• Contribute to the definition of agentic product experiences that orchestrate specialist agents (e.g., audience, creative, optimization agents) into a unified Superagent co-pilot experience.
• Work cross-functionally with engineering, design, marketing, and customer success to bring products from 0→1 and scale them globally.
• Engage directly with customers (mid-market and enterprise) to understand pain points, validate use cases, and translate insights into agent workflows.
• Define metrics for success: adoption, engagement, time-to-value, and impact on ARR expansion for your product area.
• Stay ahead of AI trends:
  Continuously evaluate emerging LLMs, multimodal capabilities, and agent frameworks to evolve our platform.
• Champion product-led growth:
  Position AI products as daily co-pilots for marketers and operators, driving habitual engagement and natural upsell into Data Cloud and AI Suites.
• Use AI-powered tools (e.g., analytics/product copilots, and customer feedback intelligence platforms) to synthesize signals from customers, product usage, and markets into clear problem statements and prioritized opportunities for real-time and AI-driven capabilities.
• Leverage AI in day-to-day product operations (e.g., drafting PRDs, specs, user stories, and launch plans; summarizing customer calls; analyzing experiments) to increase speed and consistency while preserving strong product judgment.
• Apply AI-assisted research and competitive analysis tools to track trends in Mar Tech, real-time personalization, and AI technologies, informing roadmap decisions and positioning for the London-based product portfolio.

• Minimum of 8 years as a data-driven enterprise SaaS Product Manager in the Mar Tech domain with significant experience focused on AI technologies (An MBA or similar is a plus)
• Demonstrated ability to ship AI-powered applications, ideally involving LLMs, RAG, agents, or multimodal AI.
• Strong technical fluency: you can prototype with AI APIs, understand model constraints, and work side-by-side with engineers.
• Experience with agent frameworks (Lang Chain, Auto Gen, CrewAI, or similar) and grounding AI in enterprise data.
• Deep empathy for users: able to translate marketer, growth, or service workflows into intuitive AI experiences.
• Proven track record of building 0→1 products that scale.
• Excellent communication and presentation skills - able to articulate the AI product vision…