National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Product Manager

elastik
Greater London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Product Manager, NLP

Lead Data Scientist - Model Risk Management

Lead Data Engineer

Senior Data Scientist

Senior Data Scientist

Senior Product Data Analyst

Position:Lead Product Manager 

Company:Elastik Learning Ltd 

Location:UK hybrid (within reach of London on a weekly basis) with travel to client sites 

Reporting to:CEO 

Type:Full-Time 

  

 

Job Summary: 

The successful candidate will be responsible for working in an empowered, cross-functional product team to create a market-leading AI EdTech product. Empowered product teams are cross-functional, motivated by outcomes, and empowered to achieve those outcomes through continuous discovery and delivery with high levels of customer interaction. Because this is an AI product, this is a technical product role requiring competence with AI web and cloud products. It is a holistic product role covering all aspects of product management including product owner responsibilities. 

 

We know theconfidence gapandimposter syndromecan get in the way of meeting outstanding candidates, so please don’t hesitate to apply if you’re an experienced product manager but are unsure if you meet all the statements in this post — we’d love to hear from you. 

If you need accommodations or assistance due to a disability, please reach out to the hiring manager.This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process. 



About Us:  

Elastik Learning Ltd is a leading EdTech company that is already creating unique impact in primary and secondary schools with our Elastik and WriteMark products (seeproduct videos here) in the UK, Australia and New Zealand. As more and more schools adopt these products, we are expanding our product portfolio and the value we create across the education sector. Ultimately, our mission is to rejuvenate and elevate education, in service of the full potential of the whole child and their future contribution to our world, and to enable teachers to be in the magic of the teaching-learning experience. And if we contribute to transforming global education for the better along the way, that is fine with us!



Key Responsibilities: 

  1. Manage product value and viability risks, collaborating in a cross-functional product team including designers, engineers and data scientists to also manage usability and feasibility risks 
  2. Collaborative responsibility for evidence-based, outcome-focused decision making for what is delivered in the product, and validation that what is delivered achieves intended outcomes 
  3. All product management and product ownership responsibilities through the course of continuous discovery, delivery, and commercialisation, discerning the highest leverage activities that warrant the highest attention and effort 
  4. Work with stakeholders across the business including executives, marketing, sales, finance, customer success and support to holistically drive customer and business outcomes 
  5. Partner with customer success to validate that the product achieves its intended outcomes for customers and their stakeholders 
  6. Contribute to a team climate in which everyone is empowered to bring their fullest contribution to creating essential value for customers and the education outcomes
  7. Contribute to an ongoing practice of learning from the team's experiences to continually grow its capabilities and impact

 


Experience: 

  1. Working in empowered cross-functional product teams managed by business and customer outcomes 
  2. Applying continuous discovery and delivery practices 
  3. Responsibility for one or more early stage or new products 
  4. Sourcing high-frequency interviews with customer prospects (buyers and users) in B2B settings 
  5. Working with high-tech software products (ideally having worked with data scientists) 



Why join Elastik?  

You will be in an environment that was founded on a deep passion for education and care for the lives of teachers and learners. Elastik has a wealth of experience in education and is in prime position to improve the experience and outcomes of teachers and learners, contributing to elevating the performance of the education system, so you will be working in an organisation with a strong sense of purpose and a big mission, with high potential for benefitting society. We offer an inclusive work environment that values innovation and customer focus. We provide our employees with ample opportunities for growth and development, together with competitive remuneration and benefits.  

 

 

National AI Awards 2025

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 Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.