Senior Product Manager

Microsoft
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist: Causal Analytics for Marketing AI

Senior Data Engineer, SQL, RDBMS, AWS, Python, Mainly Remote

Senior Data Engineer

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Data Scientist

Overview

At Microsoft AI we are pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.

We’re on the lookout for talented and passionate Product Managers (PM) to help build the next wave of capabilities of our personal AI, Copilot. As a Senior Product Manager, you will balance creativity, curiosity, and technical expertise to drive challenging projects to successful completion. You will collaboratively work with engineers, designers, product managers, and AI researchers to take ambiguous projects and mold them into amazing experiences to delight our customers. We’re looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

Our newly formed organization, Microsoft AI (MAI), focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top-notch design and product craft. The wider team is responsible for Copilot, Bing, Edge, and generative AI research, while the Mobile Engineering team is responsible for leading and building the mobile experience of Copilot on iOS and Android, collaborating closely with our Product Management, Design, and AI Research teams. This role requires a balance of technical skills and effective people management skills.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  1. Drive building world-class AI applications that will delight consumers across Copilot, Edge, Bing, Windows, and Mobile.
  2. Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches, and iterations.
  3. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
  4. Enjoy working in a fast-paced, design-driven, product development cycle.
  5. Translate business goals into strategy, user experience, and technical requirements in close collaboration with UX designers and AI model training teams.
  6. Define goals and performance indicators, set up and oversee experiments, measure success with data and research.
  7. Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications.
  8. Embody ourCultureandValues.

Qualifications

Required/Minimum Qualifications (RQs/MQs)

  1. Bachelor's Degree AND experience in product management
  2. OR equivalent experience.
  3. Experience building product roadmaps for user-facing products.

Additional or Preferred Qualifications (PQs)

  1. Experience building product roadmaps for consumer products in Voice and recommender systems.
  2. Experience building consumer products leveraging Machine Learning or Large Language Models.
  3. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
  4. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
  5. Experience with data analytics and experimentation tools. Working knowledge of SQL and coding skills (Python, Javascript).

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

🍪 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.