Product Manager, Performance AI at WPP

WPP

Voluntary Equal Opportunities Questions (UK) WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. To help us hold ourselves accountable for progress and monitor our efforts, we invite you to answer the following questions. You are not required to answer these q

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Skills in this role

Product management
AI fundamentals
SQL
Data science

What the employer asks for

You are:
WHAT YOU WILL DO
Leverage Data for Product Insights and Validation
Facilitate Stakeholder Communication & Feedback
Continuous Learning & Contribution [...] Banner
WPP Logo
Product Manager, Performance AI
WPP is the trusted growth partner for the world’s leading brands.

Courses relevant to this posting

Relevance is based on skills and concepts — not a guarantee that you qualify.

Building Feedback Loops for Digital Product Development
Covered skills:Product managementAI fundamentalsSQLData science
Skills to close:None listed

Build the skills for this job

Coming-soon courses matched to this posting — outline, waitlist, and skill path.

Course DNA for this role

Building Feedback Loops for Digital Product Development

7 chapters · 31 lessons

1. Designing Feedback Collection Systems
4 lessons
Build multi-channel systems that capture user behavior, sentiment, and feature requests across your product lifecycle.
2. Filtering Signal from Noise in User Feedback
5 lessons
Apply structured frameworks to separate actionable insights from vocal minorities and edge cases.
3. Making Decisions Under Competing Constraints
4 lessons
Balance user requests against technical debt, business goals, and team capacity using transparent tradeoff frameworks.
4. Communicating Decisions and Managing Expectations
5 lessons
Craft update communications that explain reasoning, acknowledge tradeoffs, and maintain user trust.
5. Operating Transparent Development at Scale
4 lessons
Implement sustainable practices for staged releases, public decision logs, and cross-functional alignment.
6. AI-Assisted Feedback Analysis Workflows
5 lessons
Use embeddings, vector search, and retrieval systems to process and synthesize feedback at scale.
7. Case Studies Across Product Types
4 lessons
Apply transparent development principles to games, SaaS platforms, enterprise tools, and consumer apps.

Want the full course when it launches? Join the waitlist and we will notify you.

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Skills in this role

What the employer asks for

Courses relevant to this posting

Build the skills for this job

Building Feedback Loops for Digital Product Development

1. Designing Feedback Collection Systems

2. Filtering Signal from Noise in User Feedback

3. Making Decisions Under Competing Constraints

4. Communicating Decisions and Managing Expectations

5. Operating Transparent Development at Scale

6. AI-Assisted Feedback Analysis Workflows

7. Case Studies Across Product Types

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