Senior Engineering Program Manager, GenAI

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Employment
Full-time
Posted
106 days ago
Freshness
Confirmed live yesterday

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Similar $210k
$156k $264k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,250–$241,750.

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About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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TL;DR · Senior Engineering Program Manager, GenAI

The Senior Engineering Program Manager - GenAI joins the team to own the end-to-end delivery of GenAI-powered features from initial concept through architecture, build, launch, and scaling. This hands-on role involves leading the feature roadmap, making model bets, and collaborating with engineers to architect and ship agentic systems, multi-agent orchestration, and RAG pipelines. The successful candidate will drive adoption from beta to default, manage governance, and provide technical review on model selection, compose and evaluation systems, and MLOps practices. Key responsibilities include translating technical complexity into executive narratives, codifying reusable patterns, and monitoring outcome metrics. The role requires working fluency in prompt/eval frameworks and agentic architectures to solve complex technical problems within the generative AI product space.

What you'll do

  • Define and lead the end-to-end roadmap for GenAI-powered features from initial concept to launch.
  • Lead the design and delivery of agentic systems, multi-agent orchestration, and RAG pipelines.
  • Partner with engineers on model selection, evaluation systems, MLOps practices, and technical architecture.
  • Drive product adoption by running pilots, gathering usage signals, and iterating on feedback.
  • Manage prioritization, resourcing, and trade-offs across engineering, design, and product workstreams.
  • Translate technical build status and risks into clear narratives for executive leadership.
  • Document architecture, evaluation approaches, and rollout playbooks to create reusable patterns.
  • Define success metrics and monitor post-launch performance against engagement and business-impact targets.

What we're looking for

  • 6+ years of experience in technical program management.
  • Experience shipping AI/ML or GenAI-powered features in production.
  • Working fluency in agentic architectures, RAG pipelines, prompt/eval frameworks, and MLOps.
  • Track record of owning a feature from zero-to-one through scale, including adoption strategy and outcome measurement.
  • Strong executive communication skills to distill technical complexity into risk and status narratives.
  • Ability to provide hands-on technical review on model selection, evaluation systems, and orchestration.

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