Manager, Software Engineering

• Run regular 1:1s with direct reports focused on career growth, performance, and wellbeing
• Provide timely, constructive feedback and support individual development plans
• Foster an inclusive, psychologically safe environment where engineers can do their best work

• Ensure models and systems are explainable, fair, and auditable throughout the solution lifecycle
• Uphold and champion AltaML's Responsible AI guidelines and development best practices across the pod
• Manage end-to-end solution quality in partnership with the pod lead, from design through deployment

• Communicate pod progress, risks, and outcomes clearly to internal stakeholders and external clients
• Maintain a strong communication loop with the delivery team to keep project requirements aligned
• Support pre-sales and business development with solution architecture input, demos, and technical Q&A

• Conduct hiring interviews and contribute to candidate assessment for engineering roles, evaluating for genuine AI-assisted development fluency
• Assist with quarterly resource allocation planning across the pod

• 5+ years of software engineering experience, including at least 2 years in a technical lead or management role
• Fluent, hands-on use of AI coding tools (e.g., Claude Code or equivalent), with the ability to set — not just permit — that expectation for your team
• A demonstrated track record of driving architectural decisions and maintaining engineering quality in a fast-paced delivery environment
• Experience managing and growing engineers across different levels
• Comfort engaging directly with clients and stakeholders, translating technical complexity into clear, confident communication
• Familiarity with AI/ML solutions and modern MLOps or software delivery practices
• A track record of championing responsible, ethical AI and inclusive team culture

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

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