Lead Product Manager - Segmentation and AI

Treasure AILos Altos, CA
$169,500 - $211,900Hybrid

About The Position

Treasure AI is seeking a Lead Product Manager to define and drive the strategy, roadmap, and execution for a core segment of their Enterprise Segmentation and next-generation AI products. This role will be responsible for the core Enterprise Segmentation capabilities that power Treasure AI’s Context Engine/Intelligent Customer Data Platform. Additionally, the role involves building agentic AI products designed to help marketers and enterprises automate complex workflows, enhance decision-making, and deliver personalized customer experiences at scale. This is a hands-on role for a builder-PM who can leverage AI tools like Claude, RAG systems, and multimodal models to prototype quickly and collaborate with engineering and design to bring products to life.

Requirements

  • Minimum of 8 years as a data-driven enterprise SaaS Product Manager in the MarTech domain with significant experience focused on AI technologies.
  • 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.

Nice To Haves

  • An MBA or similar is a plus.

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.

Benefits

  • 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.
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