368,634open jobs
9,437companies
50,578added this week
Browse all
Salary
$129k – $233k per year (Estimated)
Location
In office (Chicago)
Seniority
Senior
Overview
Company
Impact
Profile match

WPP

WPP is a British multinational communications, advertising, technology, and public relations holding company headquartered in London. It is recognized as the world's largest advertising company, operating major global agency networks such as Ogilvy, VML, AKQA, and GroupM. The group provides integrated marketing services, media planning, brand consulting, and enterprise technology solutions to leading brands worldwide.

WPP is the trusted growth partner for the world’s leading brands. 

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. 

 

We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.

 

Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. 

 

For more information, visit WPP.com.

 

Why we're hiring:

WPP's Data & Technology Solutions is the unified global data products and technology team. WPP Open is our AI platform for marketing, connecting marketing professionals, data, tools and AI in a single place.

The Product Manager, Managed Agents owns the strategy for WPP's centrally-built, production-grade AI agents. These are complex, code-based agents built to formal briefs by specialist engineers (including ex-Satalia talent) that serve needs the self-serve platform cannot yet address.

Critically, this role has a built-in evolution path. The long-term strategy is to democratise agentic capability across WPP - meaning managed agents should progressively become unnecessary as the platform matures. This Product Manager owns both the current value delivery AND the transition strategy.

What you'll be doing:

Intake and prioritisation

  • Own the intake process for managed agent requests - business case validation, deduplication against catalog, feasibility assessment.
  • Decide what gets built: which requests warrant managed agent investment vs. self-serve guidance vs. product feature improvement?
  • Maintain a prioritised backlog informed by business value, client need, and strategic alignment.

Quality and standards

  • Define what "production-grade" means for managed agents - testing, accuracy, monitoring, documentation standards.
  • Work closely with Agent Governance Operations team on verification processes for managed agents.
  • Ensure managed agents are exemplars of best practice that inform standards for the self-serve platform.

Insight mining and signal generation

  • Analyse agent creation patterns across the 150,000+ catalog - identify common needs being solved repeatedly.
  • Translate patterns into product signals: "1,500 people/month building insight agents" = signal that Unified Insights needs improvement.
  • Feed insights to other Product Managers and the Product Strategist to inform portfolio-level investment decisions.

Transition and democratisation strategy

  • For each managed agent: determine the long-term path - become a product feature? Become a catalog super agent? Remain bespoke?
  • Work with Product Manager, Agent Hub & Catalog to transition proven agents into the catalog as super agents.
  • Work with Product Manager, Agent Builder to feed requirements back: "these are the capabilities that would let users build this themselves."
  • Progressively reduce the managed agents backlog as the platform matures - measure success by decreasing dependency.

Team interface

  • Act as strategic counterpart to the managed agents engineering team (ex-Satalia specialists in delivery organisation).
  • Set direction and priorities without micromanaging technical implementation.
  • Champion the team's expertise as an asset for platform intelligence.

What you'll need

  • Product management experience, with experience in services productisation, internal tools, or AI/ML products.
  • Demonstrated ability to manage a capability with a deliberate evolution/sunset path.
  • Analytical skills - ability to mine large datasets for strategic insight.
  • Experience managing specialist/senior engineering teams as a product counterpart.
  • Excellent stakeholder management - this role interfaces with every other Product Manager in the pillar.
  • Commercial acumen: ability to articulate ROI of managed agent investment vs. platform investment.

You are:

  • A product manager who thrives in ambiguity - managing a capability that must deliver value today while actively planning its own evolution.
  • Experienced in professional services productisation - turning bespoke builds into scalable, repeatable patterns.
  • Data-driven: you can mine a catalog of 150,000+ agents to find patterns and translate those into product opportunities.
  • Comfortable managing a specialist engineering team as a strategic counterpart - setting direction without micromanaging technical decisions.
  • A bridge-builder: you connect the managed agents team's expertise with product strategy across the pillar.

#LI-Hybrid 

The base salary range for this position at the time of this posting is indicated below. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package, go to https://mybenefits.wpp.com/public/welcome  for more details. 

.

$75,000—$180,000 USD

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

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.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,634 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Chicago
$122k – $200k per year • In office • Full-Time • 10+ years exp • Charlotte • New York
AI/ML
AI Agents
Context Engineering
Copilot
Hallucination
Human-in-the-Loop
Knowledge Graph
LLM
LLM Guardrails
LLMOps
Prompt Engineering
RAG
DevOps
Azure
CI/CD
GitHub
Kubernetes
Vector
Analytics
A/B Testing
Apply
$145k – $193k per year • In office • Full-Time • 7+ years exp • Bachelor's Degree • Chicago • Washington • Denver • Jersey City • Boston
Python
AI/ML
AI Agents
Anomaly Detection
Embeddings
Fine-tuning
Function Calling
Hugging Face
LangChain
LLM
LLM Evaluation
LLM Guardrails
PyTorch
RAG
Red Teaming
Scikit-learn
Vertex AI
DevOps
Azure
GCP
Cybersecurity
Threat Modeling
Apply
Design Engineer 1 hour ago
$63k – $133k per year (Estimated) • In office • Full-Time • Berlin
TypeScript
AI/ML
AI Agents
DevOps
GitHub
Design
Figma
Apply
$66k – $123k per year • Remote/Hybrid • Full-Time • 2+ years exp • Bachelor's Degree • Corvallis
Python
SQL
Databases
Snowflake
AI/ML
AI Agents
dbt
DevOps
AWS
GitHub
Analytics
Power BI
Tableau
Apply
$169k – $253k per year • Equity • In office • Full-Time • 8+ years exp • Bachelor's Degree • Boulder
JavaScript
TypeScript
AI/ML
AI Agents
Frontend
GraphQL
React.js
DevOps
AWS
Azure
GCP
Google GKE
Helm
Kubernetes
Apply
$124k – $265k per year (Estimated) • In office
AI/ML
AI Agents
Apply
IAM Engineer - SSO 6 days ago
$76k – $156k per year (Estimated) • In office
AI/ML
AI Agents
DPO
DevOps
Azure
CI/CD
IAM
Cybersecurity
Auth0
ISO 27001
Keycloak
Least Privilege
Microsoft Entra ID
Okta
SOC 2
Apply
IT Support Engineer 10 days ago
In office • Lisbon
AI/ML
AI Agents
Apply
Data Engineer 11 days ago
In office • 2+ years exp • Copenhagen
Python
Databases
Google BigQuery
AI/ML
Embeddings
LLM
Multimodal AI
Vertex AI
AI Agents
Model Context Protocol
Mobile
Clean Architecture
DevOps
GCP
Google Cloud Run
Vector
Apply
Senior Data Engineer 11 days ago
In office • 5+ years exp • Copenhagen
Python
Databases
Google BigQuery
AI/ML
Embeddings
LLM
Multimodal AI
Vertex AI
AI Agents
Model Context Protocol
Mobile
Clean Architecture
DevOps
GCP
Google Cloud Run
Apply
$135k – $217k per year • In office • Full-Time • 10+ years exp • Bachelor's Degree • Charlotte • Plano • Jersey City • Chicago
DevOps
Azure
Management
Confluence
Jira
Apply
$145k – $193k per year • In office • Full-Time • 7+ years exp • Bachelor's Degree • Chicago • Washington • Denver • Jersey City • Boston
Python
AI/ML
AI Agents
Anomaly Detection
Embeddings
Fine-tuning
Function Calling
Hugging Face
LangChain
LLM
LLM Evaluation
LLM Guardrails
PyTorch
RAG
Red Teaming
Scikit-learn
Vertex AI
DevOps
Azure
GCP
Cybersecurity
Threat Modeling
Apply
$131k – $235k per year (Estimated) • Equity • In office • Chicago
AI/ML
Instructor
Apply
$118k – $162k per year • Remote • Full-Time • 10+ years exp • Bachelor's Degree • Louisville • Fort Lauderdale • Washington • Chicago • Tampa
DevOps
Azure
GCP
Cybersecurity
HIPAA
Apply
$158k – $288k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Chicago
Python
SQL
Python
pySpark
Databases
Databricks
Snowflake
AI/ML
Spark
DevOps
AWS
Apply
See all jobs
This is one of many
368,634 more open roles from verified company boards, updated every day.