Lead Product Manager (AI Developer Platform)

Scribd; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Healthcare Insurance Coverage

12 weeks paid parental leave

Disability plans

401k/RSP matching

Tuition Reimbursement

Learning & Development programs

Quarterly wellness stipend

Mental Health resources

Free Scribd subscription

Referral bonuses

Book benefit

Sabbaticals

Company wide events

Diversity, Equity, & Inclusion

Job summary

Scribd is hiring its first product manager focused on the developer platform and AI enablement. You will own the unified agentic enablement roadmap, coordinating AI workstreams across engineering and product to improve the internal app platform, plugin marketplace, and agent runtime.

You’ll measure adoption and impact while guiding the internal functions toward scalable AI-enabled workflows. You will partner with Engineering, Product, Design, Data, Research, and TPM to deliver cohesive platform

Qualifications

• Proven ability to own ambiguous, cross-functional product surfaces end-to-end.
• Strong technical fluency to discuss APIs, system design, and agent architectures.
• Experience shipping developer-facing tools and AI platforms at scale.

Responsibilities

• Lead the product strategy for developer experience and internal platforms.
• Partner with Product, Design, Research, Data & Analytics, and TPM to redesign work around AI agents.
• Define and drive the unified agentic enablement roadmap across functions.
• Translate between functions and the platform, turning workflows into actionable requirements.
• Define adoption, throughput, and impact metrics and report progress to leadership.

Skills

Product management

Developer tooling

AI platforms

Internal productivity tools

Education

Bachelor's degree in a technical field

Tools

Claude Code

Codex

Job description

• This is a foundational hire — our first product management role pointed inward, with the company itself as the customer. You’ll lead our company-wide AI transformation, with the developer platform as the center of gravity: helping define the agentic engineering stack and shaping the evolution of the developer & agentic experience at Scribd, Inc
• From that foundation, you’ll extend the same thinking outward — partnering with Product, Design & Research, Data & Analytics, and TPM as they redesign their own work around AI agents, and guiding the internal app and agent platforms that every function depends on
• 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 lead the product strategy for developer experience and how we measure it — quantitatively and qualitatively. You’ll bring the same lens to the parallel transitions in other functions at Scribd, Inc. Across all of it, your job is to help us adopt AI thoughtfully and prove its impact — not to scale AI generation for its own sake, but to make every function more capable and more confident in the outputs
• This role reports to the Director, Developer Platform, and partners closely with Engineering and Product leadership
• 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
• Be the product owner for the internal app and agent platforms. 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
• Translate between functions and the platform. Sit with different functions and their leaders to understand the workflows they are trying to redesign. 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. 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. Each has named owners across functions. Your job is to keep them moving in lockstep and surface the seams before they fragment
• 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
• Partner on go-to-market for internal users. 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. Treat internal rollouts with the same rigor we would treat an external launch

Benefits

• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs

You are all-in on AI reshaping every kind of knowledge work across a company, and you have already been applying it to your own. You think in systems and feedback loops, and you see the difference between how work happens on paper and how it actually gets done. You prefer structural guardrails over non-enforced guidelines. You’d rather ship and learn than wait for perfect, reserving real caution for the rare decisions that you can’t easily reverseYou 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 have spent enough time close to engineering to reason about platforms, APIs, and agent systems on their own terms — and enough time across functions to know that adoption is a people problem at least as much as a technical one. You are comfortable being the first PM in a new domain, defining the role as you go with no pre-existing playbook to inheritDemonstrated 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 playbookStrong technical fluency to match. You can hold your own with engineers on system design, API tradeoffs, evaluation methodology, and agent architecturesComfort and ability to move things forward when working in conditions where priorities, scope, and ownership are still being definedHands-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 themA track record of being a trusted technical-strategy partner to engineering leadership, with influence at the architecture and roadmap horizon7+ years of product management experience, with notable focus owning developer tooling, AI platforms, or internal productivity toolsExceptional written and verbal communication. You can move between an engineering deep-dive, a function lead’s strategy review, and an exec narrative in the same weekA background that includes engineering, technical program management, or applied AI work in addition to product management — you have shipped production code at some point in your careerExperience as a PM, technical lead, or founder building internal-facing developer tools, AI platforms, or productivity products at scaleDirect experience with Claude Code, Codex, Cursor, or other agentic coding environments — as a power user, an enabler, or a builderFamiliarity with the operating realities of a multi-product subscription business and a software stack that spans Ruby, Go, TypeScript, Python, and the AWS/Databricks ecosystemPrior experience standing up a new function or a new PM role in an organization