Senior Product Manager - Services (Remote - United Kingdom)

Yelp
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Product Manager - AI, ML & Data Science

Data Product Manager

Senior Data Scientist (Viator) ...

Senior Data Engineer (Viator)

Product Director - Digital Health

Senior Data Engineer [UAE Based]

JOB DESCRIPTION

Summary

At Yelp, you have the opportunity to make a real impact on a product used by millions of people every day. If you’re looking to own critical revenue-generating products at a fast-growing consumer company, this role is for you.

We are seeking an experienced Product Manager to reimagine how consumers and Multi-Location service professionals interact on Yelp. In this role, you will have the opportunity to take ownership of a key growth area for the company. You’ll collaborate with Engineers, Designers, Marketing teams, Business Operations, Data Scientists, and other Product Managers to deliver impactful solutions that drive meaningful results.

This opportunity requires you to be located in the United Kingdom. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


What you'll do:

Identify, analyze, and prioritize products and solutions that enable enterprise businesses to grow and engage with their customers. Collaborate with our design, analytics, and engineering teams, and work with stakeholders and clients to understand their motivations and needs. Work with our all-star engineering team to implement and roll out new features that drive revenue in our enterprise business. Manage the define / build / release / measure cycle from end-to-end. Define roadmaps, prioritize features, and evangelize product launches to executives, product managers, Sales, Business Development, and other stakeholders at Yelp. Move quickly; we strive for perfection but love to release and iterate.


What it takes to succeed:

Product Management Experience: Experience as a product manager or product owner, including full responsibility for significant initiatives. Tech Savvy: Can work with engineers and data scientists to understand how technical decisions and trade-offs impact your product and users. Strong Business Acumen: Track record of building business cases and gaining buy-in for revenue-generating solutions. Problem Solver: You can work closely with our Data Science team to drill into problems and identify opportunities, while being comfortable running your own analyses using SQL to dive into key metrics. Effective Communicator: Ability to zoom in and zoom out; you can get into the weeds with engineering, and translate features into a vision and roadmap non-technicals stakeholders across the organization are excited by. All-Around Leader: You collaborate well with a range of stakeholders and can create a product vision that others want to follow.


What you'll get:

Full responsibility for projects from day one, a collaborative team, and a dynamic work environment. Competitive salary with equity in the company, a pension scheme, and an optional employee stock purchase plan. 25 days paid holiday (rising to 29 with service), plus one floating holiday. £150 monthly reimbursement to help cover remote working expenses. £75 caregiver reimbursement to support dependent care for families. Private health insurance, including dental and vision. Flexible working hours and meeting-free Wednesdays. Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth. Opportunities to participate in digital events and conferences. £56 per month to use toward qualifying wellness expenses. Quarterly team offsites.


Closing

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.