About the job
Join our team as a Senior Product Manager, Creative Agents, where you will drive the lifecycle management of tools and skills for Adobe's creative community. Take ownership of UX fit-and-finish, collaborate with cross-functional teams, and ensure tool quality. Ideal for experienced product managers with strong technical and communication skills.
Responsibilities
Own the tools and skills lifecycle end to end — triage what the agent needs, spec it, coordinate the build with engineering, test it, and iterate based on how it performs in the wild.
Own UX fit-and-finish prioritization — partner with design to sequence the UX polish work across tools and skills, make the calls on what ships when, and push it through to done.
Improve tool and skill quality day to day — hunt down flaky triggers, wrong outputs, and rough edges, and drive them to fixes before creators feel them.
Help build out evals — partner with the team on defining what "good" looks like for each tool and skill, building test sets, and turning fuzzy quality issues into measurable, trackable signal.
Work with AIP — partner with the AI Platform team on tools and skills integration and dependencies, and make sure our needs are represented in their roadmap.
Structure and refine prompts and system instructions, running tight experiment loops to improve how tools and skills behave.
Close the loop with clear, regular reporting on tool and skill quality and reliability so the whole team knows where things stand.
Qualifications
Minimum
Bachelor's degree or equivalent practical experience.
5+ years in product management or an equivalent area, shipping consumer or creator products.
Enough technical depth to work closely with engineers, reason about how tools and skills are built, and dig into root causes yourself.
Daily, hands-on use of AI tools, and genuine curiosity about how agents and LLMs behave.
A track record of driving UX quality and fit-and-finish across a product, working closely with design, and prioritizing well when there's more to do than time to do it.
Strong data and experimentation instincts: you can define a metric, read a dashboard, and tell signal from noise.
Clear communication and a track record of leading and prioritizing across functions.
Preferred
A background in Computer Science or Engineering is preferred.
Experience with prompt engineering, evals, LLM tooling, or building for creators / UGC.