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Lead Product Manager

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Hyland
Full Time position
Listed on 2026-10-03
Job specializations:
  • Business
    AI Business & Operations, Product Manager
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Overview Lead Product Manager

Location: Remote - US Work Model: Remote

About the Role

The Lead Product Manager is responsible for leading a core AI-driven product focused on helping organizations securely find answers, insights, and decisions from their enterprise content. This role owns product strategy, roadmap, and execution for a sophisticated AI and search solution, working closely with engineering, marketing, solution engineers, sales, and other key stakeholders. This position plays a critical role in shaping how enterprise customers adopt AI responsibly, particularly in regulated industries such as healthcare, insurance, and government.

This product is part of Hyland's Content Innovation Cloud (CIC) --- the company's cloud-native foundation for unifying content, data, and processes across the enterprise.

Here's What You'll Do
  • Own and evolve the product roadmap as a living expression of strategy, customer value, and business outcomes; balance near-term delivery with long-term innovation in AI-powered search and decision support; connect customer problems, market trends, and business priorities into a clear product direction
  • Lead continuous customer discovery through interviews, pilots, and feedback loops; validate problem statements, solution approaches, and value hypotheses using real customer evidence; translate discovery insights into roadmap decisions and measurable outcomes
  • Partner closely with engineering to define requirements for AI-powered capabilities --- including search, retrieval, enrichment, and agent-based workflows leveraging RAG, Graph RAG, and agentic orchestration --- guiding execution from ideation through launch, iteration, and optimization
  • Maintain strong awareness of the AI, enterprise search, and intelligent knowledge systems landscape; track emerging approaches across generative AI and AI-assisted decision making; apply competitive insights to influence roadmap, differentiation, and positioning
  • Partner with Marketing, Solution Engineers, and Sales to articulate clear product value and differentiation; support enablement materials, demos, release narratives, and customer-facing content; translate technical progress into outcome-focused messaging for internal and external audiences
  • Serve as a trusted product voice across engineering, marketing, solution engineering, sales, and leadership; influence decisions through clarity, credibility, and data-driven reasoning; shape thought leadership and mentor and collaborate with peers and cross-functional partners
Technology Tools
  • Generative AI
  • Retrieval Augmented Generation (RAG)
  • Graph RAG
  • Agentic Orchestration
Role Essentials
  • 5 years of proven experience as a Product Manager owning complex technology products, with strong understanding of enterprise software and full product lifecycle management
  • Ability to collaborate deeply with engineering teams, reason about technical tradeoffs, and maintain delivery momentum while anticipating dependencies and risks
  • Proven ability to build strong customer relationships and lead problem discovery through direct customer engagement
  • Excellent communication skills with both technical and non-technical stakeholders, with a demonstrated ability to translate complex technology into clear business value
  • Strong analytical and problem-solving skills with the ability to think beyond feature delivery to product value, including positioning, pricing, and business impact
What We'd Like to See
  • Experience with AI-powered products, enterprise search, or data-driven platforms
  • Familiarity with Generative AI, retrieval-augmented generation (RAG), embeddings, or intelligent content systems
  • Experience building products for regulated or security-sensitive environments such as healthcare, insurance, or government
  • Exposure…
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