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

Apply Now

Principal Product Manager - Analytics (f/m/d)

Contentful
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Product Manager, Data Science & Machine Learning

Principal Product Manager, Data Science & Machine Learning

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist I - Agentic Systems

Principal Data Scientist I - Agentic Systems

About the Opportunity

Become part of the Ninetailed Team, pioneer of composable personalization and experimentation within the Contentful family.

At Ninetailed by Contentful, you will revolutionize personalization & experimentation for leading businesses worldwide.

We are seeking an experienced Principal Product Manager to join our team and help us explore new opportunities within our Analytics product line. You will play a crucial role in designing scalable platform primitives and infrastructure to help customers transform our Analytical capabilities.

As a key member of our product team, you will be responsible for identifying new product opportunities, defining product strategy, and leading the product development process from ideation to launch and growth. This high-impact role will require you to lead large, cross-functional projects and exercise decision-making power to solve valuable problems for our customers.

What to expect? 

Define Analytics platform product strategy and roadmap to help customers transform content and experiences  Define and track key product metrics and KPIs to measure product success Lead product discovery and proactively engage with customers to uncover insights into their needs. Develop a deep understanding of their content systems, foster relationships and collaborative design & innovation. Drive the product development process with clear product requirements and rapid iterations Partner closely with engineers in technical research and build APIs, services, and complex systems at scale.  Engage with pricing, marketing, legal teams to ensure products meet security, legal standards as well as has successful go to market Communicate product status, progress, and risks to stakeholders and senior leadership for a high-visibility project spanning multiple product lines.

What you need to be successful

Strong product fundamentals, experience defining opportunities, discovering with customers, moving quickly to test hypotheses, and then bringing products to life. Proven experience building enterprise-grade B2B SaaS products with complex data, AI, or analytics components. Deep understanding of data pipelines, tracking mechanisms, and analytics, with experience in building products that handle large volumes of data. API-first and platform mindset, ensuring integration flexibility for enterprise customers to enable extensibility, interoperability across systems. A strong understanding of AI and machine learning concepts, ideally with experience building AI capabilities at scale using platform services. Knowledge of best practices and common pitfalls in enterprise adoption. Proven record of successful cross-group collaboration across Product Lines, ability to build shared alignment on strategy & execution Proven ability to engage with executives, GTM teams, and other stakeholders, articulating complex product roadmaps and product concepts with clarity. Skilled at reducing ambiguity, guiding decision-making, and aligning diverse teams on shared goals. 0 to 1, entrepreneurial thinker, defining net new area and creating a strategy & execution path to deliver upon that. Passion for working in environments with high uncertainty maintaining momentum.

What’s in it for you?

Join an ambitious tech company reshaping the way people build digital experiences. Full-time employees receive Stock Options for the opportunity to share in the success of our company. Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. We valueWork-Life balanceandYou Time!A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days Time off to care for and focus on your growing family  Use your personal annual education budget to improve your skills and grow in your career Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties  An annual wellbeing stipend to care for your physical, financial, or emotional health A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

#LI-Remote #LI-KT1

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

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.