Product Manager, Core Experience

Details

Glean is seeking a strategic and execution-oriented Product Manager to lead the Core Experience product area. This team owns the full-stack, high-polish, consumer-grade experiences that define how users interact with Glean, including the Homepage, Mobile, Desktop, Browser Extension, SDK, app shell, navigation, notifications, and settings.

The role sits at the intersection of AI, consumer-quality product craft, growth, and platform strategy. You will shape a consistent product journey across Glean's touchpoints and partner closely with the Search and Chat teams. The Core Experience area focuses on engagement, session depth, virality, collaboration, onboarding, experimentation, and turning first-time users into daily, mission-critical habits.

Responsibilities

• Define and drive the product strategy and roadmap for Core Experience, translating company vision into product bets, experiences, and execution plans informed by customer needs, usage data, and market signals.
• Own the end-to-end quality of Glean's core surfaces, including Homepage, Mobile, Desktop, Browser Extension, SDK, app shell, navigation, and settings.
• Partner with Search and Chat teams to ensure their capabilities integrate into a cohesive end-to-end user journey.
• Work with users, customers, and internal stakeholders to identify friction, drop-off, and fragmentation affecting engagement and retention.
• Drive growth, engagement, virality, collaboration, session depth, activation, onboarding, and retention in partnership with growth and data teams.
• Lead rapid experimentation using A/B tests, instrumentation, qualitative research, and data-driven product decisions.
• Partner with engineering, design, and data teams to turn ambiguous concepts into well-scoped products with clear user flows, interaction patterns, quality standards, and measurable outcomes.
• Balance long-term platform opportunities with user pain points, strategic customer requests, and company priorities.
• Collaborate with go-to-market, solutions, support, and forward-deployed teams to incorporate customer needs into product strategy.
• Define concrete workflows, UI behavior, performance expectations, and adoption paths.

Requirements

• 8+ years of product management experience.
• Experience owning and shipping meaningful product areas in B2B SaaS, enterprise software, AI products, consumer products, or high-engagement workflow platforms.
• Strong product sense and the ability to translate complex, ambiguous problems into clear, polished product experiences.
• Deep interest in AI and software, including search, chat, context, and proactive intelligence.
• A strong track record of improving growth, engagement, and retention through experimentation, instrumentation, and data-driven iteration.
• Excellent cross-functional partnership and influencing skills.
• Strong technical fluency and the ability to work with engineering and data teams on retrieval, ranking, client infrastructure, and intelligence layers across web, desktop, mobile, and SDK surfaces.
• Ability to demonstrate detailed product thinking, including workflows, interaction models, and sequencing of product capabilities.
• Comfort operating in ambiguous and emerging product areas.
• Excellent written and verbal communication skills, ownership, initiative, and a learning and growth mindset.
• Experience building with or adopting AI for product work.

Location

This is a hybrid role requiring four days per week in Glean's Mountain View office.

Compensation and Benefits

The standard base salary range is $200,000–$300,000 annually. Compensation may vary based on location, level, job-related knowledge, skills, and experience. Certain roles may also be eligible for variable compensation, equity, and benefits.

Benefits include medical, vision, and dental coverage, generous time off, a 401(k) plan, a home office improvement stipend, annual education and wellness stipends, company events, and daily healthy lunches.

As part of the interview process, candidates complete a brief AI-focused exercise or discussion covering how they think about, design, and use AI.