Product Manager - Machine Learning

Roku
Cambridge
2 months ago
Create job alert

About the Role

We’re looking for a Product Manager to join our Advanced Development group in Cambridge. This role is at the forefront of innovation, developing cutting-edge EdgeAI products that redefine what's possible. You'll be instrumental in driving the delivery of new products for both internal and external use, helping engineering prioritize and focus. With a variety of projects on the horizon, your work will go wherever innovation takes us, across diverse platforms such as RokuOS, Mobile, and cloud solutions. This is an exceptional opportunity for someone eager to learn and master different technologies across Roku’s business.

What you’ll be doing


You'll define the vision for our cutting-edge EdgeAI internal and external products, driving the strategic roadmap for engineering teams. This is a hands-on, high-impact role for someone who thrives in an environment where innovation meets engineering excellence. You'll collaborate with a world-class team of designers, engineers, and researchers, contributing across the entire lifecycle of ideating, building, and optimizing next-generation intelligent experiences.

We’re excited if you have

Hands experience driving product outcomes through product management or other roles spanning customer engagement, operational execution, and cross-functional leadership


Proven ability to define and deliver cross-platform user experiences that span hardware and software Strong collaboration skills with engineering teams, translating product vision into practical, scalable implementations for complex features.
A data-driven mindset, comfortable with experimentation and hypothesis-driven iteration to deliver delightful, low-friction UX.
Exceptional analytical and communication skills, with a track record of aligning engineering, design, and business stakeholders.
A solid technical background (professional or personal).
Experience launching AI/ML products or features.

#LI-PA1

Accommodations


Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Our Hybrid Work Approach


Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

Benefits


Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

The Roku Culture


Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 


We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

Related Jobs

View all jobs

Product Manager (Artificial Intelligence) - Ipswich, Norwich, Cambridge, Chelmsford

Product Manager - Machine Learning

Product Manager III - Artificial Intelligence & Machine Learning Platform

AI Product Manager - Data Science (Energy) - London

AI Product Manager - Data Science (Energy) - London

Sr Product Manager, Data Science

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

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

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.