Product Manager - Analytics

Quantexa
London
3 months ago
Applications closed

Related Jobs

View all jobs

Product Manager

Product Manager – Smart Diagnostics & Digitalization

Product Manager – Digitalization

Product Manager – Digitalization

AI Product Manager – Legal only

Senior Product Manager - AI, ML & Data Science

At Quantexa, we believe that people and organizations make better decisions when those decisions are put in context. We call this Contextual Decision Intelligence. Contextual Decision Intelligence is a new approach to data analysis that shows the relationships between people, places, and organizations in one place.

Founded in 2016, Quantexa helps organizations make their data more meaningful. Our world-leading software company provides a single networked view of internal and external data as input to analytical and AI models. From compliance, fraud, anti-money laundering, and credit risk to customer intelligence and master data management, Quantexa partners with Global Tier 1 insurers, banks, government agencies, telecoms, and technology companies to deliver Contextual Decision Intelligence.

Our Product Management team is growing. We need highly motivated Product Managers to take our ambitious goals and turn them into a reality as part of the best team in the company (we’re obviously biased but genuinely believe this!). This is a great opportunity to lead right at the center of our high-growth centaur business and instill strong product thinking throughout the company. 

We’re looking for a product manager with experience with technical analytic products and working with data scientists to join our Analytics products team. You will report directly to the Product Director of Analytics. 

Requirements

What will I be doing?  

  • You will own a key problem or area within the Analytics capabilities of our platform end-to-end. We believe in ‘full stack product management’. The code is not the product, it’s just part of it.  
  • You will align the company behind the vision for your area: doing whatever it takes to drive-out uncertainty and get people onboard. 
  • You will work with other members of Product and the subject matter experts in the rest of the company to deeply understand our problem space. 
  • You’re in charge of setting goals and OKRs as well as initial discovery & research. 
  • You’ll collaborate with customers, and internal stakeholders such as Sales and account teams, internal SMEs, data scientists and engineers to uncover unmet needs and validate your approach and create and deliver a roadmap. 
  • You will work closely with Product Marketing to articulate the value of the new offerings, create a launch plan and make the biggest impact in the market with your great work. 
  • We’re not done there: product managers at Quantexa are fully accountable for the value their products deliver. This means you lead adoption, working through out customer success, sales and delivery teams to move the needle on your goals, and then measure the success in the market through solid KPIs.  
  • You will know your area of the software inside out and will use this knowledge to support our customers and other areas of the business using the product. The lessons learnt will be a key contribution you make in product discussions. 
  • We’re a fast-growing team in a fast-growing company. You’ll be mentored by your teammates in Product and our Product Leadership team so you develop as we grow. 

 

What do I need to have? 

  • At least three years' experience as a Product Manager in a software company and a track record of success managing complex products 
  • Experience with technical analytics products, including working with data scientists 
  • Someone who has led prioritisation and direction of engineering teams; and has experience of developing roadmaps. 
  • A sound understanding of end-to-end product inception, development and release processes; strong product thinking  
  • Customer-facing experience in translating problems into requirements and capability in-line with product strategy; 
  • A smart, self-motivated and pragmatic person who is happy to take initiative and run complex projects in a highly dynamic environment. 
  • An excellent team worker with the desire and ability to think independently  
  • Someone who challenges the status quo, and can stand up to more senior colleagues 

 

An ideal candidate would also have one or more of the following:  

  • Although we're not looking for a data scientist, you'd be a strong candidate if you had a degree-level qualification or equivalent work experience in a data science related topic, and at least a passing familiarity with Python and data tooling  
  • Enterprise software product management experience 
  • SaaS product management experience 
  • Experience in start-ups/scale-ups 

Benefits

Why join Quantexa?

We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.

We offer:

    • Competitive salary
    • Company bonus
    • Private healthcare, Life Insurance & Income Protection
    • Cycle Scheme and TechScheme
    • Free Calm App Subscription #1 app for meditation, relaxation and sleep ‍♀️
    • Pension Scheme with a company contribution of 6% (if you contribute 3%)
    • 25 days annual leave (with the option to buy up to 5 days) + birthday off!
    • Ongoing personal development
    • Great WeWork Office Space & Company wide socials

Our mission.

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It’s all about you.

We want you to feel welcome, valued, and respected—because it’s your individuality and passion that make you Q. We see that, and we celebrate it. That’s why we’re proud to be an Equal Opportunity Employer.

We are committed to fostering an inclusive and diverse work environment, continuously improving to ensure everyone belongs. Our recruitment process is designed to be inclusive and accessible. If you need any reasonable adjustments or accommodations, please let our Talent Acquisition Team know—we’re happy to assist.

No matter your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity, or abilities—whoever you are—if you're a passionate, curious, and caring human eager to push the boundaries of what’s possible, we want to hear from you.

start. don’t stop – Apply

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.