Product Manager

Portsmouth
8 months ago
Applications closed

Related Jobs

View all jobs

Mid Level Data Engineer

Data Engineer

Python Data Engineer

Data Governance Manager

SAS Data Engineer

Data Engineer

Product Manager - Web Applications (Fleet Tech)

Location: Remote-first (Hampshire, UK)
Level: Mid to Senior
Salary: Up to £75,000
Industry: B2B SaaS / Transportation Technology

Drive the Future of Fleet Tech

Join a high-growth, venture-backed SaaS company revolutionising transportation technology. As a Product Manager, you'll take the reins of one of our most critical web applications-used by the majority of fleet management companies across North America. This is your chance to lead with impact, shape product strategy, and deliver solutions that power real-world operations at scale.

🌟 Why You'll Love This Role

High Impact: Your work will directly influence how thousands of businesses manage their fleets-every day.
Ownership: Lead the full product lifecycle, from discovery to delivery, in a fast-paced, agile environment.
Innovation: Be part of a team that values experimentation, rapid iteration, and continuous learning.
Growth: Backed by a recent multi-million Series D, we're scaling fast-and you'll grow with us.🧠 What You'll Be Doing

Champion the Customer: Understand user needs and pain points to drive adoption and satisfaction.
Shape Strategy: Collaborate across engineering, design, and GTM teams to build features that matter.
Own the Roadmap: Lead discovery, testing, launch, and iteration with a focus on measurable outcomes.
Drive GTM Success: Plan and execute go-to-market strategies for new features and updates.
Be the Voice of the User: Use insights and data to inform decisions and prioritise effectively.
Communicate with Clarity: Align stakeholders with a compelling product vision and progress updates.
Optimise & Evolve: Continuously improve product operations and foster a culture of shared ownership.🛠️ What You Bring

3-5 years in product management (ideally B2B SaaS).
Strong grasp of web technologies (SQL, REST/SOAP APIs, JSON, XML, OAuth).
Proven success leading cross-functional teams and shipping impactful features.
Excellent communication, analytical, and problem-solving skills.
Passion for customer success and product excellence.
Experience with product analytics and data-informed decision-making.
Bonus: Familiarity with APIs, SAML, SSO, ETL integrations.💡 Extra Credit For

Experience in fleet, automotive, or transportation software.
Exposure to vertical SaaS or enterprise-scale products.
Background in Computer Science, Business, Design, or equivalent experience.📈 About Us

We're a leader in fleet tech, trusted by thousands of customers worldwide. With a strong culture of innovation and a remote-first team, we're building the future of fleet operations-faster, smarter, and more connected than ever.

🚦 Ready to Make Your Move?

If you're passionate about solving real-world problems and building products that make a difference, we want to hear from you.

Apply now and help shape the future of fleet management.

To find out more about Computer Futures please visit

Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.