Senior / Lead Product Manager in Slough

Senior / Lead Product Manager in Slough

Slough Full-Time 110000 - 110000 £ / year (est.) Home office (partial)
Burns Sheehan

At a Glance

  • Tasks: Own high-impact consumer products and build AI-powered features.
  • Company: Exciting high-growth B2C business in London.
  • Benefits: Competitive salary, bonus, equity, and a dynamic work environment.
  • Other info: Fast-paced scale-up environment with real ownership and impact.
  • Why this job: Join a strong product culture and shape the future of AI in product management.
  • Qualifications: Experience in B2C product management and familiarity with AI tools.

The predicted salary is between 110000 - 110000 £ per year.

Location: London - 1-2 days p/w

Salary: up to £110,000 + bonus + equity

We’re partnered with one of the UK’s most exciting high-growth B2C businesses as they continue a major evolution in how product teams operate, build and ship.

They’re looking for strong B2C Senior / Lead Product Managers who combine excellent customer/product instincts with a modern, AI-enabled way of working.

They want PMs who:

  • use AI tools day-to-day
  • prototype ideas quickly
  • think like builders
  • move fast through ambiguity
  • are excited by how AI changes product development itself

You’ll work on core customer journeys and experiences used at scale, helping shape how millions of insurance interactions evolve over the coming years.

What you’ll be doing:

  • Owning high-impact consumer product areas end-to-end
  • Build and ship AI-powered features
  • Using AI tools to accelerate discovery, prototyping, product thinking and delivery
  • Running experiments, testing ideas quickly and iterating fast
  • Helping embed more AI-native ways of working across the product organisation

Who are they looking for:

  • Have strong B2C product experience in fast-moving environments
  • Naturally use AI tools in their day-to-day workflow
  • Are curious, proactive and highly autonomous
  • Think commercially as well as from a user perspective
  • Enjoy building, experimenting and shipping quickly

Why this stands out:

Strong product culture with real ownership, huge AI investment, and a fast-moving scale-up environment where Product Managers are encouraged to experiment, build and have real impact.

If you’re excited about where product management is heading in an AI-first world, this is a genuinely interesting opportunity to be part of that shift!

Senior / Lead Product Manager in Slough employer: Burns Sheehan

Join a dynamic and innovative team in London, where as a Senior / Lead Product Manager, you'll thrive in a strong product culture that champions ownership and experimentation. With significant investment in AI and a fast-paced scale-up environment, you'll have ample opportunities for professional growth while making a tangible impact on millions of customer interactions in the B2C space.

Burns Sheehan

Contact Details:

Burns Sheehan Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior / Lead Product Manager in Slough

Tip Number 1

Network like a pro! Reach out to current employees at the company you're eyeing, especially those in product roles. A friendly chat can give you insider info and might even lead to a referral!

Tip Number 2

Show off your skills! Create a portfolio or case studies showcasing your past projects, especially those involving AI tools. This will help you stand out and demonstrate your hands-on experience.

Tip Number 3

Prepare for interviews by practising common product management scenarios. Think about how you'd tackle ambiguity and use AI in your decision-making. We want to see your thought process in action!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team!

We think you need these skills to ace Senior / Lead Product Manager in Slough

B2C Product Management
AI Tools Proficiency
Prototyping
Experimentation
Agility in Ambiguity
Customer-Centric Thinking
Commercial Awareness

Some tips for your application 🫡

Show Your Passion for AI:Make sure to highlight your enthusiasm for AI and how it influences product management. We want to see how you’ve used AI tools in your previous roles and how they’ve helped you build and ship products faster.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and skills. Remember, we’re looking for strong B2C product experience!

Demonstrate Your Prototyping Skills:Share examples of how you’ve quickly prototyped ideas in the past. We love seeing candidates who can think like builders and move fast through ambiguity, so don’t hold back on showcasing your creativity!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our fast-moving scale-up environment!

How to prepare for a job interview at Burns Sheehan

Know Your AI Tools

Make sure you’re familiar with the AI tools relevant to product management. Be ready to discuss how you've used them in your previous roles to enhance product development and decision-making.

Showcase Your B2C Experience

Prepare specific examples from your past work that highlight your experience in B2C environments. Discuss how you’ve owned product areas and driven consumer engagement, as this will resonate well with the interviewers.

Emphasise Experimentation

Be ready to talk about how you approach experimentation and rapid prototyping. Share instances where you’ve tested ideas quickly and iterated based on feedback, showcasing your ability to move fast through ambiguity.

Demonstrate a Builder Mindset

Convey your passion for building and shipping products. Discuss your thought process when it comes to turning ideas into tangible features, and how you ensure they align with user needs and business goals.