VP Product (Workplace)

Pod Point, Ltd.
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Retail Data Analyst (Korean speaker) (Chertsey)

Data Engineering Manager

Machine Learning Engineer

Analytics Engineering Manager

VP Product (Workplace)

Department:Product

Employment Type:Full Time

Location:London

Reporting To:Chief Product & Technology Officer

Compensation:£110,000 - £130,000 / year


Description

Salary: Up to £130,000 per annum | + Eligibility for Pod Point Incentive Plan | Company EV | Hybrid - London

Leading the way in electric vehicle charging, we've been at the forefront of adoption in the UK since 2009. With over 250,000 charge points installed so far, out of a total of 1 million in the UK, we make EV ownership simple and affordable.

Partnering with top automotive brands like Mercedes, Jaguar Land Rover, BMW and Kia, as well as energy leaders such as EDF and Centrica, we’ve earned accolades such as the 'Which? - Trusted Trader' award and 'Best for Value, Home EV Chargers - What Car?'

With our international expansion, we aim to transform the EV charging landscape not just in the UK, but now across Europe.

Our Ways of Working

We’re all about flexibility, community and a healthy work-life balance. Our hybrid model offers a 'best of both worlds' approach combining the best parts of home and office working. When you'll be in the office depends on your role, but you can expect to work from our London office between 8-12 days per month.

To support this, the successful applicant should be within a reasonably commutable distance to our office (Gray's Inn Road, London, WC1X 8HB).

Join the EVolution:

The VP of Product - Workplace will lead and facilitate a value stream management team in an EV company. A cross-functional team bridging the gaps on the end-to-end delivery of propositions and offerings between commercial, marketing, operations and design. This role requires a deep understanding of the market, customer needs, business objectives, and technical feasibility. The ideal candidate will have a strong product lead and management background, coupled with expertise in value stream management, lean portfolio management, Kanban, flow optimization, and stakeholder management. This is a pivotal role that combines strategic vision with execution, driving innovation in the EV charging space.


Key Responsibilities:

  • Servant leadership and facilitation of a Value Stream Management team.
  • Running daily standups, regular operational and functional meetings.
  • Voice of product in the team.
  • Ensure creation of service blueprints and customer journeys to understand and improve our offering to the customer.
  • Work closely with product managers and their domains to manage requirements and estimations.
  • Implement frameworks to constantly measure customer success and company value, health and fitness.
  • Present quarterly to management and business on performance, roadmaps and commitments.
  • Utilise lean portfolio management and Kanban methodologies to prioritise and manage workflows effectively.
  • Prioritise strategic work mapped to company strategy to improve customer value and profitability.
  • Communicate strategic vision and high-level technical requirements to internal teams and external stakeholders.
  • Stay informed about industry trends, emerging technologies, and customer feedback to continuously evolve the offering.
  • Work closely with VP of Product – Home to ensure cross collaboration, synchronisation and alignment of work and tech.

Required Skills:

  • Proven experience as a Senior Product Leader in the EV industry.
  • End-to-end delivery of propositions, from ideate to operate.
  • Hands-on experience with agile practices.
  • Exceptional stakeholder management skills.
  • Analytical mindset with a focus on using data and metrics to inform decisions and measure success.
  • Excellent communication and organisational skills.

Bonus Skills:

  • Experience in the Energy industry.
  • Knowledge of agile frameworks and prioritisation frameworks like F4P.
  • Certifications in product management and/or agile methodologies.
  • Experience in service design/blueprints and value stream mapping.

Perks that spark joy:

  • Flexible hybrid working model.
  • Work abroad for up to 20 days per year.
  • Salary Sacrifice EV Scheme and free Pod Point.
  • Family & friend discount scheme.
  • 25 days holiday (plus Bank Holidays).
  • Very generous parental and family leave.
  • Pension scheme with a 4.5% matched contribution.
  • Eyecare scheme.
  • Life insurance covering up to 4x your annual salary.
  • Virtual GP provided by HealthHero.
  • Employee Assistance Program.
  • Free Mortgage Advice.
  • Discounted Gym Memberships.
  • Cycle2Work Scheme.

Important Information:

You must have the legal right to work in the UK. We celebrate diversity and encourage applications from all backgrounds. Your privacy is important to us, all information shared will be handled according to ourCandidate Privacy Notice.

#J-18808-Ljbffr

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.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!