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Scribd, Inc Head of Product Management and Design in Washington DC

Job in Washington, District of Columbia, 20022, USA
Listing for: Scribd, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, UI/UX Design, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below
Position: Scribd, Inc. is hiring: Head of Product Management and Design in Washington DC

Scribd, Inc. is hiring:
Head of Product Management and Design in Washington DC Scribd, Inc.
• Washington DC, Washington DC, United States

Director, Product Discovery (Scribd.

Join to apply for the Director, Product Discovery (Scribd.and where every employee is empowered to take action as we prioritize the customer.

When it comes to workplace structure, we believe in balancing individual flexibility and community connections. Its through our flexible work benefit, Scribd Flex, that employees in partnership with their manager can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. We are building a new Discovery product organization at , and this role is the founding Director of Product for that group.

Our corpus spans hundreds of millions of documents, and our goal is not just to help people find files, but to help hundreds of millions of applied learners discover the knowledge inside those documents. You will manage and mentor PM leaders, partner with Engineering, Machine Learning, Applied Research, Design, Content, and Data Science, and establish the discovery roadmap that will shape Scribd.

You have built or led teams that own discovery, personalization, or search at meaningful scale, and you are comfortable shaping long-term vision while shipping iterative value along the way. Define and drive the long-term vision for Scribds discovery ecosystem, including recommendations, search, ranking, and semantic content understanding.

Articulate how we move from document-level retrieval to knowledge-level discovery using foundational models and LLMs.

Align this vision with company priorities in engagement, retention, and subscription growth, balancing foundational ML investments with high-impact product improvements.

Serve as the founding product leader for the Discovery group, managing, mentoring, and inspiring a team of product managers across discovery surfaces and platforms.

Recruit and develop top PM talent, set a high bar for product craft, and build a culture that combines deep technical curiosity with strong user empathy.

Establish durable cross-functional operating rhythms with Engineering, ML, Data Science, Design, Content, and Trust & Safety.

Build Next Generation Discovery Systems Using LLMs and ML

Partner with ML Engineering and Applied Research to design and ship real-time systems for retrieval, ranking, and evaluation that operate at global scale and under tight latency budgets.

Lead the development of generative recommendation experiences that help users understand why content is relevant and what they might learn from it.

Drive real-time intent modeling and personalization that react to user behavior within and across sessions.

Own end-to-end discovery journeys, from homepage and feeds to search results and document detail pages, ensuring users confidently find the right content quickly.

Introduce AI overviews and conversational, question-aware interfaces that help users ask richer questions and receive synthesized, sourced answers grounded in our corpus.

Define the metrics that matter for long-term subscription value, discovery satisfaction, and content health across

Lead a robust experimentation agenda with clear hypotheses, guardrails, and data-driven decision making across discovery surfaces.

Ensure that LLM and ML driven features ship with clear hypotheses, guardrails, and monitoring, including trust, safety, and quality considerations.

Develop executive-level narratives that articulate strategy, roadmap, progress, and impact for the Discovery organization.

Build trusted, collaborative partnerships across global teams, and guide multi-quarter and multi-year roadmaps across time zones and functional groups.

A strong track record of translating user needs, data insights, and competitive trends into breakthrough discovery features, ideally including ML or LLM powered experiences.

Proven ability to lead through ambiguity, make strategic tradeoffs, and balance long-term platform investments with near-term business results.

Exceptional written, visual, and…

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