Product Manager: Edge Tech & Sensing Solutions in Bristol

Product Manager: Edge Tech & Sensing Solutions in Bristol

Bristol Full-Time 60000 - 70089 Β£ / year (est.) No working from home possible
Rowden

At a Glance

  • Tasks: Lead hardware product development from concept to deployment and own the product roadmap.
  • Company: Rowden, a forward-thinking company based in Bristol, UK.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on cutting-edge technology.
  • Why this job: Shape innovative products that meet user needs and drive business success.
  • Qualifications: Experience in product management and strong communication skills.

The predicted salary is between 60000 - 70089 Β£ per year.

Rowden in Bristol, UK, is seeking a Product Manager to lead hardware product development from concept to deployment.

You will own the product roadmap, translate user needs into actionable requirements, and balance trade-offs across scope, schedule, cost and technical complexity.

The role reports to the VP of Product and collaborates with a Technical Lead to deliver products that meet user needs and business goals.

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Product Manager: Edge Tech & Sensing Solutions in Bristol employer: Rowden

Rowden in Bristol is an excellent employer, offering a dynamic work culture that prioritises collaboration and innovation within the security team. With clear growth opportunities and a hybrid working model, employees can enjoy a balanced work-life while contributing to meaningful projects in governance and compliance. The supportive environment fosters professional development, making it an attractive place for those seeking rewarding careers in security.

Rowden

Contact Details:

Rowden Recruitment Team

We think you need these skills to ace Product Manager: Edge Tech & Sensing Solutions in Bristol

Product Roadmap Management
User Needs Analysis
Requirements Translation
Scope Management
Schedule Management
Cost Management
Technical Complexity Balancing