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Sr. Applied AI Product Manager

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Adobe
Full Time position
Listed on 2026-01-04
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Job Description & How to Apply Below
Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

The GTM AI & Agentic Products 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.

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…
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