Lead Product Manager - Segmentation and AI

Treasure 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. Your Role: 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. Responsibilities: 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 MarTech, real-time personalization, and AI technologies, informing roadmap decisions and positioning for the London-based product portfolio. Job Requirements: Minimum of 8 years as a data-driven enterprise SaaS Product Manager in the MarTech 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 (LangChain, AutoGen, 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 internally and externally. Demonstrated experience using AI/LLM-based tools (such as analytics/product copilots, and experimentation or customer insight platforms) to inform product decisions, shape real-time experiences, and optimize outcomes. Ability to critically evaluate AI-generated insights and content for accuracy, bias, feasibility, and impact, and to guide cross-functional teams in responsible, customer-centric use of AI in product experiences and internal workflows. Physical Requirements: Working out of the Mountain View, California office according to our “Global Hybrid Working Policy.” Travel Requirements: Up to 25% travel. Perks and Benefits (US): Our benefit package showcases our culture of care and empathy with Comprehensive medical, dental, vision plans and Employee Assistance Program (EAP) Competitive compensation packages Company paid life insurance 3x salary Company paid short- and long-term disability coverage Retirement planning (401K) with 4% company match Restricted Stock Units (RSU) Flexible Time Off (FTO) Up to 26 weeks paid parental leave including a post-partum night nurse Comprehensive support and access to care for everyone, everywhere through Carrot - our global reproductive health and family-building benefit. Our Dedication to You: We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. Agencies and Recruiters: We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation! This description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here.