Product Manager

Oxwash
Swindon
2 months ago
Applications closed

Related Jobs

View all jobs

Product Manager, Digital Workplace,Tools, Platform,Change

Product Manager (SC Cleared)

Product Manager (SC Cleared)

Product Manager (FemTech)

Product Manager

Product Manager - Revenue Management Engineering

About Oxwash – Join the Washing Revolution!

Our Mission: To eliminate the impact of textile care on our planet and its people.

We are now looking for a dedicated and experienced Product Manager to support the seamless operations of our first-of-its-kind facility, Big Blue I in Swindon—the world’s first industrial-sized laundry plant operating with Net-Zero emissions (Scopes 1 & 2). This facility primarily serves the hospitality and healthcare sectors, redefining the standards for sustainable laundry. We are deeply invested in developing market-leading software to run our operation and add transparency to our customers. We believe in a future of automagic linen and textile laundry that works like clockwork, driven by technology. 

Summer 2024 has brought exciting innovations, including:

  • Deployment of our automated washing line with one of the world’s largest washing machines at its core.
  • The HyDro Water Reclamation System, a first in the UK, has been designed to recycle up to 90% of the water used in our cleaning process. 
  • Enhanced dryers, irons, and folders that use robotics to automate high-quality and high-speed finishing of textiles ready for our customers to use. 
  • RFID technology to instantaneously track items through our process and with our customers. 

If you’re seeking a challenge in a highly innovative, ambitious environment and resonate with our mission, this role is for you. Be part of the world’s first carbon-neutral industrial laundry!

As our Product Manager, you will:

  • Play a pivotal role in understanding customer needs and driving operational innovation.
  • Work closely with our software engineering and data teams to develop products that align with business goals and values.
  • Take ownership of key product areas, identify opportunities, and overcome challenges as we scale.

You will be primarily based at Big Blue I in Swindon but also expected to visit customers across the South of the UK, particularly in London.

Our software platform, primarily built with the MEAN stack and hosted on AWS, is critical to operations and customer interaction. While deep technical expertise isn’t required, a basic understanding of software development processes and tools is essential for seamless communication with the engineering team.

Requirements

  • Product Roadmapping: Own and refine the product roadmap, aligning short-term deliverables with long-term strategic goals.
  • Feedback Analysis: Gather, analyse, and prioritise feedback from users, stakeholders, and cross-functional teams to drive improvements.
  • Collaboration: Work closely with engineering, design, and data teams to ensure product visions are realised with excellence.
  • Feature Prioritisation: Use prioritisation frameworks (e.g., RICE, MoSCoW, Kano Model) to balance business needs, technical constraints, and objectives.
  • Market Research: Conduct competitive analysis and industry research to stay ahead of trends and threats.
  • Design Sprints: Lead and participate in rapid prototyping and design sprints to validate ideas and solutions.
  • Business Case Development: Present business cases to internal stakeholders for new initiatives, feature enhancements, and expansions.
  • Metrics and Analytics: Define and analyse product metrics to inform decisions and assess feature success.
  • Stakeholder Communication: Ensure all stakeholders are informed and aligned throughout the product lifecycle.
  • User Advocacy: Champion user needs to ensure products address genuine requirements and challenges.
  • Risk Management: Identify potential risks and devise mitigation strategies.
  • A/B Testing and Data Analytics: Utilise data-driven approaches to optimise product features and improve user experience.

Key Qualities and Competencies:Technical Competency

  • Product Methodologies: Deep understanding of Agile, Design Sprints, and other frameworks.
  • Tech Savviness: Basic understanding of technology stacks and software processes.
  • Data Analysis: Ability to derive insights from metrics and user analytics to guide decisions.
  • Market Insight: Competence in market research and competitor analysis.
  • Customer-Centric Mindset: Passion for understanding and advocating for user needs.
  • User Journey Mapping: Visualising and improving the product experience.
  • Analytical Prowess: Skilled at interpreting complex data to drive decisions.

Technology, Automation, and Innovation

  • Continuous Learner: Stay updated on product management trends, tools, and technologies.
  • Data Tools Expertise: Proficiency in BigQuery, MongoDB, Looker Studio, and similar platforms.
  • Design Collaboration: Familiarity with tools to align stakeholders and solve problems collaboratively.

Leadership and Collaboration

  • Team Facilitation: Lead cross-functional teams and foster collaboration.
  • Stakeholder Management: Build strong relationships with diverse stakeholders.
  • Conflict Resolution: Address and resolve challenges effectively.
  • Communication Excellence: Convey product visions and decisions clearly.

Sustainability and Values

  • Ethical Consideration: Create ethical, user-friendly, and community-beneficial products.
  • Sustainability Advocacy: Promote sustainable practices in product development.
  • Company Values Alignment: Embody Oxwash’s creativity, excellence, and integrity.

Key Relationships:

  • VP Platform: Collaborate on defining the roadmap, setting goals, and tracking progress.
  • Head of Special Projects and Operational Excellence: Your co-lead on the implementation of software tool changes and releases within our operations. 
  • Software and Data Engineers, Data Analysts: Coordinate feature delivery, prioritise tasks, and mitigate risks.

Operations and Commercial Teams: Gather requirements and communicate roadmap plans.

Benefits

A salary of £45,000-65,000 per year, depending on experience

Generous EMI share options, after successful probationary period

☀️ 31 days of holiday (you choose whether to take Bank Holidays off), plus your birthday off and the option to purchase 5 extra holiday days!

Free, confidential mental health support + 1 Mental Health Day off

A funded health cash plan and enhanced sick pay

Cycle to Work and Electric Vehicle schemes

Uniform, laptop and work phone, plus a £250 work equipment allowance

Core Working Hours of 09:00 - 16:00 UK time

Work from elsewhere for up to 20 days a year

Oxwash cares deeply about leading the way as an employer and providing a more inclusive and diverse workplace for all. We are an equal opportunity employer and value diversity at Oxwash. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, pregnancy and maternity, marital status or disability status.  Please let us know if you would benefit from any reasonable adjustments in order to participate fully in our recruitment process.

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.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.