Senior Product Manager, Credit Risk for Enterprise SaaS in Birmingham

Senior Product Manager, Credit Risk for Enterprise SaaS in Birmingham

Birmingham Full-Time 55000 - 65000 Β£ / year (est.) No working from home possible
Sidetrade

At a Glance

  • Tasks: Lead product delivery and drive the roadmap for Credit Risk solutions.
  • Company: Join Sidetrade, a forward-thinking company in Birmingham.
  • Benefits: Enjoy hybrid work options and a collaborative team environment.
  • Other info: Opportunity to work with diverse teams and grow your career.
  • Why this job: Make a significant impact on enterprise-level products and strategies.
  • Qualifications: Experience in product management and strong collaboration skills required.

The predicted salary is between 55000 - 65000 Β£ per year.

Sidetrade is seeking a Product Manager to lead the Credit Risk Expert area in Birmingham.

You will own end-to-end product delivery, drive the roadmap, and align with the O2C platform strategy.

You will conduct enterprise discovery with credit managers and CFOs, write PRDs, manage the backlog, and partner with Engineering, Data Science, Design, Marketing, and Sales to launch features globally.

Hybrid work is available.

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Senior Product Manager, Credit Risk for Enterprise SaaS in Birmingham employer: Sidetrade

Sidetrade is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to make a significant impact in the SaaS industry. With a focus on employee growth, you will have the opportunity to lead and mentor a high-performing team while enjoying comprehensive health benefits and a competitive salary. Working remotely from Greater London, you'll be part of a forward-thinking company that values innovation and passion.

Sidetrade

Contact Details:

Sidetrade Recruitment Team

We think you need these skills to ace Senior Product Manager, Credit Risk for Enterprise SaaS in Birmingham

Product Management
Roadmap Development
Enterprise Discovery
PRD Writing
Backlog Management
Collaboration with Engineering
Collaboration with Data Science