Director, Product Management, Cross-Meta Support London, UK • • Product Strategy London, UK Pro[...] (Basé à London)

Jobleads
Holloway
6 days ago
Create job alert

Director, Product Management, Cross-Meta Support

Meta Product Management Leaders work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Management Leaders to help innovate and execute product initiatives across the company and value moving quickly. This job description represents different full-time roles across Meta.

Responsibilities

  1. Lead a team through the ideation, technical development, and launch of innovative products
  2. Attract, build, manage, and develop a talented, broad team of product managers and product leaders
  3. Establish shared vision across the company by building consensus on strategies and priorities leading to product execution
  4. Drive product development with a team of world-class engineers and designers
  5. Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction
  6. Define and analyze metrics that inform the success of products
  7. Understand Meta’s strategic and competitive position and deliver products that are recognized as best in the industry
  8. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
  9. Manage multiple products and priorities, scale teams, and ensure org is effective, healthy and set up for success by establishing clear and measurable goals

Minimum Qualifications

  1. Extensive experience in Product Management and/or Product Design
  2. Extensive experience working collaboratively with engineering, design and user research teams
  3. Extensive experience hiring, managing, and developing both individual contributors and leaders
  4. Critical thinking/analytical leadership experience
  5. BA/BS in Computer Science or related field
  6. Experience presenting to executive audiences

Preferred Qualifications

  1. Experience in a consumer focused technology company
  2. Experience building 0-1 products, platform/ecosystem products, or marketplaces

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

#J-18808-Ljbffr

Related Jobs

View all jobs

Director, Product Configuration London, England (Basé à London)

Director Data Architecture (Basé à London)

Director of Aviation Commercial Supply · London · Hybrid Remote (Basé à London)

Director of Aviation Commercial Supply · London · Hybrid Remote (Basé à London)

Director of Engineering - Advanced Analytics

Director of Retention & Analytics, Hayu (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.

Jobs

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Jobs

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.

Careers Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.