Scribd

Lead Product Manager - AI Developer Platform

San Francisco · Exec

Sponsorship not specifiedDetected 56 days ago

TypeScriptPythonGoRubyDatabricksAWSPlatform EngineeringLLMsAgentic AIProduct ManagementProduct StrategyPRDsResearchLeadershipCollaboration

About the role

This is a foundational hire - Scribd's first product management role pointed inward, with the company itself as the customer.
To do this well, you'll spend real time with developers and eng teams - understanding how they work today, where the friction lives, and what the next leap looks like for them.
You'll bring the same lens to the parallel transitions in other functions at Scribd.

Own the unified agentic enablement roadmap. Pull together the in-flight AI workstreams across Scribd into a cohesive, sequenced roadmap. Decide what is shared infrastructure and what stays function-specific. Make the tradeoffs visible to leadership.
Define and drive the product strategy for the platforms the company depends on - the internal app platform, the plugin marketplace, the agent runtime - and make sure they meet each function's real needs.
You will partner with the Developer Platform and Data Platform engineering teams who build the underlying capabilities.
Turn that into requirements we can build against, and turn the platform's capabilities into something every function can act on.
Drive cross-functional commitments to closure.
Make agentic enablement legible to the company. Define the metrics that matter - adoption, throughput, time recovered, evaluation quality, impact - and report against them. Build the narrative that gets every function bought in.
Demonstrated success owning ambiguous, cross-functional product surfaces end-to-end - defining the strategy, sequencing the work, and shipping with engineering partners - without a pre-existing playbook
A track record of being a trusted technical-strategy partner to engineering leadership, with influence at the architecture and roadmap horizon
Own the unified agentic enablement roadmap.
Partner on go-to-market for internal users.

Our four products - Scribd®, Slideshare®, Everand™, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.
You are energized by hard, ambiguous, cross-functional problems where the technology landscape is moving faster than ever, adoption is uneven across functions, and the platform is actively evolving as it ships.
You are comfortable being the first PM in a new domain, defining the role as you go with no pre-existing playbook to inherit.
Hands-on experience shipping real products with modern AI/LLM primitives - prompting, evals, tool use, agentic workflows, MCP, plugin or skill ecosystems, or comparable concepts.
You have built things with these primitives, not just written PRDs about them

At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range.

Comprehensive health, dental, and vision coverage
Mental health support and disability coverage
Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
Paid parental leave and family support benefits
Retirement matching and employee equity
Learning and development programs and professional growth opportunities
Wellness and home office stipends
Plan and run the rollouts, education, and feedback loops that drive measurable adoption - capabilities aren't done when they ship, they're done when each function depends on them.
Scribd Flex (flexible work model)

Our AI Enablement strategy includes several load-bearing pieces of shared infrastructure - canonical context, the evaluation practice, the plugin marketplace, the internal app platform, and a coherent context ownership map.

This listing is sourced directly from Scribd's careers page and normalized into a canonical job model.