Engineering Manager

Who you are

• 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
• Previously led an AI-first team driving organisational change
• Experience working in or managing internal platform teams
• Previously helped recruit and shape brilliant engineering teams
• Taken an active role in defining and evaluating effective team processes
• Previously worked in a hyper-growth environment
• We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description

What the job involves

• Engineering Managers at Thought Machine lead complex technical projects to deliver on our roadmap
• To accomplish this you will manage a group of talented engineers as they identify issues and implement creative solutions to address them. You will manage your own project deliverables, contribute to the vision and strategy of your area and help develop and grow your team
• We are particularly excited to hear from people who show strong product ownership and enjoy switching between engineering management and being hands-on with technical work
• Your team’s primary mission is to enable everyone in Thought Machine to productively, safely, and easily solve their business problems with AI tooling
• You will have a wide remit to design and implement new platforms, adjust pipelines, and introduce new tools when they are the right choice for the job. You will work closely with your team, senior leadership and internal users to define and execute your roadmap
• 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

Benefits

• Cycle to work scheme
• Pension (match up to 5%)
• Life Insurance- 3 times annual salary
• Competitive Maternity and Paternity leave
• Shared parental leave
• 25 days holiday (excl. bank holidays) + 2 days Charity Leave