Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Product Manager

Optimizely
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Product Manager - Machine Learning and AI

Senior Product Data Scientist

Senior Product Data Scientist

Senior Manager Data Science & Analytics

Senior Manager Data Science & Analytics

Senior Data Scientist

At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.

We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech. 

At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued. 

Introduction

Optimizely is seeking a highly skilled Senior Product Manager to join our Platform team. As a Senior Product Manager, you will be an individual contributor who owns one or more significant product areas and excels at SaaS product management. 

In this role, you will be responsible for driving the product strategy, roadmap, and execution for specific area(s) within Platform, working closely with cross-functional teams to ensure successful product delivery. Platform includes Common Admin/User Management, Common Identity (OptiID), Provisioning, Optimizely Data Platform (ODP), Optimizely Connect Platform for integrations (OCP), Reporting, Content Recommendations, Product Recommendations, and Data Science. This role will focus on the Data Science area specifically. You will develop a thorough understanding of the features and technology within your assigned product domain(s) and will be recognized across the company as an expert in those areas. 

You will also be responsible for identifying market opportunities, defining product requirements, and collaborating with engineering, UX, and GTM teams to deliver high-quality products that meet customer needs in an agile/scrum environment. The ideal candidate will have a proven track record of delivering successful products, excellent communication skills, attention to detail, and the ability to work in a fast-paced, dynamic environment. We are seeking someone who is humble, collaborative, and highly team oriented.

Job Responsibilities

Be the Voice of the Customer by gathering direct feedback from users and stakeholders and leveraging multiple tools to collate and prioritize requests to improve our products  Regularly communicate priorities and manage stakeholder expectations  Establish prioritization principles that inform consistent, data-driven decision making  Technical aptitude including some basic understanding of Machine Learning and Data Science Conduct discovery and research where appropriate  Stay abreast of industry trends, events, and channels to anticipate customer needs  Draft Product Requirements Documents (PRDs) in thorough detail and with early inputs from Engineering and UX to ensure an optimal customer experience, continuously working closely with these partners from concept through execution  Motivate and lead the scrum team to deliver against commits and deadlines, providing required context, clearly communicating the value prop, setting timelines, and reporting to leadership Set a predictable cadence for product delivery and high bar for product quality  Evangelize the company and department strategy and regularly communicate it to your scrum and partner teams internally, focusing on customer benefits, ease and delight  Connect company objectives to the team’s work by defining measures to track impact (quantifiable key results / OKRs) Drive execution as well as adoption, learning and pivoting where necessary based on user feedback and data including implementation and monitoring of dashboards that track the right metrics for meaningful insights  Develop meaningful relationships with key individuals internally and externally to achieve business objectives  Actively participate in and take lead of initiatives to improve how we operate as a product organization  Handle conflict and difficult conversations directly and with professionalism  Take ownership of issues and use good judgement on when to escalate vs. inform leaders and stakeholders  Be a visible internal and external spokesperson for the product including presentations, demos, customer calls, and speaking engagements  Nurture a culture of inclusion and empathy  Actively seek out and lead challenging projects Give and receive candid feedback  Mentor more junior team members and share knowledge and best practices across the team 

Knowledge and Experience

5-8 years of SaaS product management experience; or 3-5 years of product experience with extensive Optimizely experience Keen business acumen and a strong understanding of the fundamentals of business success  Exceptional communication and collaboration skills  Self-starter who has the ability to work cross-functionally and independently lead cross-functional initiatives  Proven track record of delivering quality, on-time product deliverables with a measurable positive impact on the business  Experience with rapid experimentation to learn quickly, iterate, and get it right 

Competencies

Driving Projects to CompletionDriving Continuous ImprovementEvaluating and Implementing IdeasDeveloping PlansPrioritizing and Organizing Work

Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#LI-SA1

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.