At a Glance
- Tasks: Lead the vision and strategy for AI-driven skills and tools at WPP.
- Company: Join WPP, a global leader in marketing and data solutions.
- Benefits: Enjoy a hybrid work environment, competitive salary, and career growth opportunities.
- Other info: Collaborative culture that values creativity and continuous learning.
- Why this job: Shape the future of AI in marketing and make a real impact.
- Qualifications: Experience in product management or engineering with a focus on AI.
The predicted salary is between 63000 - 77000 £ per year.
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.
About Data & Technology Solutions
WPP’s Data & Technology Solutions is WPP’s unified global data products and technology team.
We work with our agencies and clients to build data-driven solutions and technology product to power marketing transformation.
WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place.
WPP Open is the simplest, safest and fastest way to realise the benefits of scaled AI – delivering better-informed creative ideas faster and at scale.
Why We Are Hiring
We are seeking a technically minded product leader to define what WPP’s agents are actually able to do.
This is a new role, created to own the layer beneath the interface: the core set of skills and tools that agents call, the guardrails that keep them safe to use, the data and context they reason over, and the agentification of WPP’s own applications so that they can be operated by an agent and not only by a person.
The ideal candidate will have taken an established product and made it agent-native — exposing its capabilities as tools, skills and data an agent can call, defining the contracts, permissions and behaviour around them, and proving the result is reliable to put in front of enterprise customers.
Skills, tools and agentification are not new in the industry, and we are looking for someone who has already done this work somewhere it mattered.
This is a more technical product role in the Agentic Experience pillar and sits at the intersection of product and AI.
You may come from product management, engineering or data science.
What matters is that you can hold a clear point of view on where a capability belongs — in the model, in a tool, in the data, or in the interface — and defend it with evidence.
It is also a visionary / forward-looking role in the pillar.
A good deal of what you will own does not exist yet, and part of the job is deciding what should.
This requires a product leader who is comfortable with ambiguity but still ships, and who can bring a large organisation along with them.
What You Will Do
Within this IC role, reporting into the Senior Director Product Enablement WPP Open – you will:
- Own the vision, strategy and roadmap for skills, tools and agentification across WPP Open, ensuring alignment with the broader Open strategy and business objectives.
- Define the core set of skills that WPP’s agents are built from — what exists as a first-party skill, what is left to users to compose, and what should not be a skill at all.
- Own the tool layer: how WPP and third-party capabilities are exposed to agents through well-defined interfaces, contracts, permissions and connectivity standards such as MCP.
- Lead the agentification of WPP applications, working with the teams that own them to make their capabilities callable, observable and safe to operate agentically.
- Define the guardrails (what an agent may do, on whose authority, with what data), working with Agent Governance so they are built into the product.
- Own the evaluation and quality approach for skills and for chained agent output: how capability is tested before release and monitored after it.
- Define the data and context strategy that agents reason over, spanning retrieval, grounding, memory, context management and the interfaces to WPP’s data and knowledge assets.
- Work closely with Engineering, Design, UX and Data to deliver a coherent skills layer.
Set clear objectives with teams and ensure alignment of plans and workstreams to achieve them.
- Provide day-to-day vision, direction and motivation to the cross-functional product team, including product management, data analysts, engineers and product enablement.
- Use data to drive product strategies and plans, gathering quantitative and qualitative feedback from stakeholders and systems to enhance product adoption and usage continually.
- Act as the voice of the customer by balancing platform priorities with the needs of agencies, operations teams and clients, and make an unfamiliar technical area legible to senior stakeholders so that new capabilities are understood and adopted, and their benefits championed.
- What You Will Need
- Experience in Product Management, Product Ownership, engineering leadership or applied data science, with significant time spent on AI or platform products.
- Proven track record of taking an established Saa S or enterprise product and making it agent-native.
- Deep and current knowledge of agent architectures: LLMs, tool, skill and function calling, RAG and retrieval design, context & memory management, multi-agent orchestration, and connectivity standards such as MCP.
- Direct experience with working with agent and tooling ecosystems such as MCP/A2A servers and clients, Lang Chain or Lang Graph, Semantic Kernel or comparable skill and tool frameworks.
- Experience defining guardrails, permissions and safety controls for autonomous or semi-autonomous systems and making them part of the product.
- Experience with evaluation of non-deterministic systems: test sets, scoring rubrics, regression testing, human review and production monitoring.
- Understanding of APIs, system integrations, workflow orchestration and data interoperability, with the ability to hold a credible technical conversation with senior engineers.
- Experience with data and knowledge platforms — retrieval, embeddings, semantic search, taxonomy and grounding against enterprise content.
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 ( for more information on how we process the information you provide.
Senior Product Director, Agentification, Skills and Data in London employer: WPP Media
WPP Media is an exceptional employer that prioritises the growth and development of its employees, offering a dynamic work culture that fosters creativity and collaboration. With a commitment to inclusivity and a comprehensive benefits package, including competitive medical and retirement plans, employees are empowered to thrive in their careers while enjoying a supportive environment. The opportunity to work with high-profile clients globally and leverage cutting-edge AI-driven solutions makes this role not only rewarding but also pivotal for personal and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Director, Agentification, Skills and Data in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like WPP Media!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at WPP Media would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at WPP Media through your school's career services!
We think you need these skills to ace Senior Product Director, Agentification, Skills and Data in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Director, Agentification, Skills and Data, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Director, Agentification, Skills and Data position at WPP Media. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at WPP Media
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.