ashby
Engineering Manager - AI Platform
Thought Machine
London, GBR
Full-time
Entry
Onsite
Discovered 2 weeks ago
KubernetesAWSGCPAzureGolangPython
Free
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KubernetesAWSGCP
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KubernetesAWSGCPAzureGolangPython
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Duties
- Actively participating in technical discussions and design reviews.
- Taking a data driven approach and measuring your team’s impact with the data you can collect directly from your users.
- Understanding the needs, challenges and impediments of internal teams so you can identify solutions and measure success
- Contributing to the vision and strategy of your platform area, aligning it with broader engineering and business goals.
- Contributing to engineering-wide initiatives as part of the engineering management team on anything from recruitment to team processes.
- Develop engineers in your team and help them in their career development.
- Leading by example: Code reviews and hands on technical work
- Championing industry best practices and emerging trends to keep our team ahead of the curve.
Essential
2+ years experience of engineering management in platform teams that include AI tooling and capabilities
Experience of working in a cloud-native environment, using modern technology stacks similar to the stack we use at Thought Machine (Kubernetes, AWS/GCP/Azure, golang/python).
Technical background to drive technical decisions and great interpersonal skills to drive communication with your users. You should enjoy working in environments where you have a high level of responsibility and autonomy.
You are comfortable wearing different Engineering Manager hats that suit the changing needs of a team as it evolves.
You have experience developing platforms and tools that are used by other engineers either internally or externally.
Desirable
Previously led an AI-first team driving organisational change
Experience working in or managing internal platform teams
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