Product Manager

fingerpaint•Philadelphia, PA

21d•Hybrid

About The Position

The Product Manager, Applied AI, serves as a strategic conduit between business stakeholders and the agency’s AI product engineers for one or more products. The role partners with business sponsors to understand underlying problems, document requirements, and translate business needs into clear specifications for technical teams. The Product Manager owns the product lifecycle from documented requirements through launch and adoption. This includes creating business requirements documents and PRFAQs, managing the product backlog and roadmap, coordinating delivery, and ensuring solutions generate measurable value. The role also supports rollout and user adoption, monitors product performance, and collaborates on commercializing successful internal tools when appropriate. This is a hybrid role requiring two days per week onsite in Philadelphia, Pennsylvania.

Requirements

At least 5–7 years of Product Management experience, preferably in a digital agency, marketing technology, or SaaS environment.
Strong understanding of LLM capabilities and limitations and the ability to make informed cost, speed, and quality trade-offs.
General fluency in data concepts, including pipelines, data quality, and structure, sufficient to scope feasibility conversations with Engineering and Data teams.
Experience with Agile/Scrum methodologies and proficiency with product management tools.
Exceptional ability to manage without authority and rally cross-functional teams around a shared vision.
Comfort with analytics and ability to define success metrics and adjust product strategy based on performance data.

Nice To Haves

Experience working in regulated industries, particularly healthcare or pharmaceuticals, is highly preferred.

Responsibilities

Build and maintain relationships with Business Sponsors and document the problems behind product priorities.
Interview Business Sponsors and their teams to translate stated needs into documented problems, requirements, and features.
Write and maintain Business Requirement Docs and the backlog of requirements and feature updates in partnership with Business Sponsors.
Develop and maintain product roadmaps, define current and future versions and modular builds, and validate direction with Business Sponsors and Engineering.
Establish, own, and communicate timelines across the product lifecycle; flag schedule risks and adjust sequencing as priorities or capacity change.
Manage day-to-day engineering tasking and sequence work according to capacity and priority.
Partner with Product Applied AI Engineers to review and approve technical requirements and ensure builds match specifications.
Lead Agile activities, including Sprint Planning, Standups, and Retrospectives, and clarify specifications and unblock decisions for business and engineering stakeholders.
Manage cross-team dependencies and sequencing across Applied AI Engineering, Data Engineering, IT, and partner teams.
Monitor the market and consider off-the-shelf tools when applicable.
Partner with Business Sponsors on product rollout, including co-developing training materials and documentation to drive adoption.
Define product success metrics at launch and monitor usage and satisfaction data to guide backlog priorities and feature updates.
Establish user feedback channels with Business Sponsors and use feedback to iterate on live products.
Collaborate with Client Service teams to package successful internal tools into client-facing offerings where appropriate.
Maintain working awareness of data privacy, security, and regulatory considerations relevant to AI products; flag potential concerns early and escalate them to Legal or Operations for review.