Support & AI Operations Lead (Hybrid UK)

Support & AI Operations Lead (Hybrid UK)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a dynamic team to enhance support services using AI and human expertise.
  • Company: Join a forward-thinking company that values innovation and collaboration.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a vibrant culture focused on continuous improvement and success.
  • Why this job: Shape the future of support services and make a real impact with AI.
  • Qualifications: Proven leadership experience and a passion for AI and team development.

The predicted salary is between 60000 - 80000 Β£ per year.

Stream is seeking a senior leader to oversee Stream Support, a strategic business enabler, with a 10+ person team across the UK. You will blend human expertise with AI tooling to deliver scalable service for both B2B and B2C audiences, shaping performance dashboards and driving improvements.

You will partner with Product and Engineering, champion responsible AI adoption, and build a talent pipeline through regular performance reviews and development plans.

Support & AI Operations Lead (Hybrid UK) employer: Mosaic.tech

Harness is an exceptional employer that fosters a dynamic work culture in London, where innovation meets collaboration. With comprehensive healthcare benefits, flexible work schedules, and a strong emphasis on employee growth through regular team-building events and professional development opportunities, Harness empowers its employees to thrive both personally and professionally. Join a forward-thinking team that is at the forefront of AI software delivery, making a meaningful impact in the tech industry.

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Contact Details:

Mosaic.tech Recruitment Team

We think you need these skills to ace Support & AI Operations Lead (Hybrid UK)

Leadership
Team Management
AI Tooling
Performance Dashboard Development
B2B and B2C Service Delivery
Collaboration with Product and Engineering
Responsible AI Adoption