Sr. Applied AI Product Manager
AdobeSan JosePosted 8 March 2026
Tech Stack
Job Description
The Opportunity
The GTM Agentic AI Operations team is leading the shift to an Agentic operating model for Adobe GTM and Sales. This function is the orchestration layer that operationalizes Adobe GTM and Sales strategy into end to end Agentic AI workflows that compress planning cycles from months to weeks, launch more personalized campaigns across every route to market, and streamline manual tasks so sellers can focus on talking to customers. We are building an always-on Agentic operating layer that connects strategy, data, and frontline execution for the Digital Media business.
The AI industry is changing quickly, so success in this role requires first principles thinking, intellectual curiosity, and the ability to adapt as the landscape evolves. This opportunity is ideal for a Senior Product Manager who brings a founder approach, enjoys building zero to one products, and has the grit to see them through to impact.
Role Overview
Agentic Planning
Define the product vision and strategy for Planning Agents that support annual and in year planning across multiple products, segments, and regions.
Build Agentic workflows that propose territories, coverage models, capacity plans, quotas, and targeted subgroup plays from live data and clear business constraints.
Embed these Planning Agents into existing planning cadences so leaders can review, adjust, and approve plans instead of starting from scratch.
Campaign Orchestration and Execution
Own the roadmap for Execution Agents that help GTM teams select audiences, prioritize accounts, choose plays, and orchestrate campaigns across key channels and tools.
Partner with marketing, sales development, and Sales teams to codify successful campaigns into reusable Agentic workflows that can be adapted by different segments and regions.
Build a standard experimentation framework so campaigns can be launched in days, tested with clear hypotheses and metrics, and scaled when they work.
Seller Productivity and AI Assistants
Define and deliver seller facing AI assistants that support account research, meeting preparation, opportunity insights, next best actions, and follow-up content.
Map complete seller workflows and identify where Agents can remove friction, from territory and account review to renewal and expansion motions.
Partner with Sales Systems to embed assistants into CRM, email, calendar, and other daily tools, so they fit naturally into seller workflows.
What you will bring
8 years of product management (2 years of Agentic AI) experience, with meaningful work in one or more of the following: sales planning, GTM systems, marketing technology, sales tools, or AI powered products.
Experience mapping complex business workflows and translating them into clear product requirements and step by step experiences.
Comfort working with data and experimentation, including defining success metrics, reviewing analyses, and using insights to drive roadmap decisions.
Solid understanding of modern AI technologies such as large language models and agentic workflows, or a demonstrable ability to ramp quickly.
A builder mentality, high ownership, and resilience in a fast moving environment.
Technical requirements
Experience using SQL to explore data, validate hypotheses, and define requirements with analytics partners.
Experience with LLM and agentic architectures, such as prompt design, retrieval augmented generation, tool calling, and evaluation.
Experience partnering with engineers on API design, data contracts, and integration patterns between systems.
Proficiency with product and design tools including Figma, FigJam, Miro, or similar for mapping workflows and defining user experiences.
Experience using product delivery tools such as Jira, Confluence, or similar to manage backlogs, write clear tickets, and track progress.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experi ... (truncated, view full listing at source)
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