Senior Product Manager, Data Infrastructure in London

Senior Product Manager, Data Infrastructure in London

London Full-Time 90000 - 120000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead product management for our data infrastructure platform, optimising access and efficiency.
  • Company: Join Angi, a global leader in home services with a vibrant culture.
  • Benefits: Competitive salary, hybrid work, home office allowance, and social events.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Shape the future of data platforms and drive innovation in AI workflows.
  • Qualifications: 5+ years in product management with a focus on data or infrastructure.

The predicted salary is between 90000 - 120000 £ per year.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.

Angi at a glance:

  • Founded in 1995 as Angie’s List and rebranded in 2021
  • Global company with 9 brands in 8 countries and employees worldwide
  • Homeowners have turned to us for 300 million home projects and counting

About the Team

Data Infrastructure builds the platform that every other data team stands on: access to shared data, orchestration, data ingestion, and the retirement of systems the company has outgrown. Every layer of this platform exists to make it easier for a homeowner to hire an Angi Pro, on one certified source of truth that people and AI agents can trust equally.

The team's strategy is built around one idea: this platform should feel like a self-service product, not a ticket queue, for the engineers and analysts who depend on it, and increasingly for the AI agents who depend on it too. Angi is moving toward AI agents as a normal way of building and operating, and every agent that touches company data comes through this platform first. This role stewards that platform's product direction.

What You'll Do

  • Manage governed platform access - give engineers, analysts, and services safe, auditable access to shared data, and make the safe path the easy path.
  • Streamline orchestration and scheduling - bring fragmented scheduling tools together into one system every team reaches for by default, and use AI-assisted tooling to migrate jobs faster, with less manual engineering effort.
  • Drive data ingestion and replication - define what self-service ingestion looks like for teams who want to bring their own data onto the platform, and build toward that.
  • Oversee legacy system retirement - close out systems that are no longer the source of truth, with clear ownership handed off at every step.
  • Optimize compute cost efficiency - find where cost comes from habit rather than real need, and bring it down without anyone losing the developer experience they rely on.
  • Advance compute strategy diversification - help move the platform toward a storage layer that works with more than one compute engine, so each workload runs on the engine built for it.
  • Build the platform's AI-ready substrate - make agentic workflows safe by default, with the same governed access and audit trail for an agent as for a person.

Execution and Individual Contribution

  • Use AI agents in your own daily work, set clear norms so the engineers and peers around you feel safe experimenting with agents and agentic workflows.
  • Protect the team's focus and drive real rigor without micromanaging how the work gets done. Steward outcomes, not tasks.
  • Build trust across engineering, domain teams, and leadership through empathetic, transparent, and clear communication when addressing complex challenges.
  • Work closely with Data Engineering's other delivery teams - Data Mesh Enablement and Managed Data Products - and with the team building Angi's agentic workflows, toward one overall technical strategy.

Who You Are

  • Five or more years of product management experience on a data or infrastructure platform team, where you stewarded technical roadmaps directly.
  • Comfortable reading system architecture and pipeline dependencies well enough to make real sequencing calls with engineering.
  • A record of taking cross-team migrations and retirements all the way to done, not just to a plan.
  • Transparent about areas of growth and open to learning, rather than presenting incomplete information as fully resolved under pressure.

Preferred Qualifications

  • Experience weighing compute cost against performance and developer experience, and driving that tradeoff to a decision rather than just planning around it.
  • Working knowledge of how AI agents consume data and tools differently from people, and judgment on when a vendor's own agent layer already covers a need.
  • A proactive approach to navigating and understanding new technical systems, key contacts, and open questions independently.

Compensation & Benefits

The salary band for this position ranges from £90,000 - 120,000, commensurate with experience and qualifications. Hybrid work environment and home office set-up allowance. Temporary work from abroad policy. Regular team and social events.

Senior Product Manager, Data Infrastructure in London employer: Angi

At Angi, we pride ourselves on being an exceptional employer, offering a dynamic hybrid work environment that fosters collaboration and innovation. Our commitment to employee growth is evident through regular team events and a supportive culture that encourages professional development, making it an ideal place for a Commercial Lawyer to thrive in a fast-paced international setting.

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Contact Details:

Angi Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Manager, Data Infrastructure 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 Angi!

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 Angi 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 Angi through your school's career services!

We think you need these skills to ace Senior Product Manager, Data Infrastructure in London

Product Management
Data Infrastructure
System Architecture Understanding
Data Ingestion
Orchestration and Scheduling
AI Integration
Cost Efficiency Optimisation

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Senior Product Manager, Data Infrastructure, 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 Manager, Data Infrastructure position at Angi. 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 Angi

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.