Product Manager- Electronics & Hardware

Scotstoun
4 weeks ago
Create job alert

As a Product Manager, would you like to join a specialist business who work with some of the biggest retail and blue chip companies in the world?

You'll be the first Product Manager in the business, taking responsibility for their catalogue of products, and working closely with customers to identify what else they can add to their suite.

Key Responsibilities:

Develop and execute product strategy and roadmap. 

Gather and analyse customer feedback to drive product improvements.

Collaborate with engineering, UX/UI design, marketing, and sales teams.

Conduct market research and competitive analysis.

Manage product lifecycle from ideation to launch.

Plan and execute product launches with marketing and sales teams.

Use data analytics to monitor product performance and inform iterations.

Qualifications and Skills:

Bachelor's degree 

5+ years of product management experience, focusing on electronics/controls or hardware.

Strong understanding of workflows and data management.

Proven track record of successful product launches.

Experience with cross-functional teams in an agile environment.

Excellent communication, leadership, and problem-solving skills.

Experience with data analytics tools is a plus.

If you'd like to earn up to £55,000 whilst working from their Glasgow based office 3 times a week, apply now

Related Jobs

View all jobs

Product Manager- Electronics & Hardware

Senior Product Manager

Senior Product Manager, Global Payments (Basé à London)

Senior Product Manager - Alternative Payment Methods London (Basé à London)

Senior Product Manager - General Applications

Senior Product Manager, Demand (Basé à London)

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.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.