Senior Product Manager - Services (Remote - United Kingdom)

Yelp
London
3 weeks ago
Create job alert

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

Related Jobs

View all jobs

Senior Product Manager

Senior Product Manager - Search Solutions (Basé à London)

Senior Product Manager, Credit Platform London (Basé à London)

Senior Product Manager - Analytics (Basé à London)

Senior Product Manager, Payments (Basé à London)

Senior Product Manager Tech, S&OP, Network S&OP, EU SCOT (Basé à London)

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 for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.