Manager, Software Engineering

Guide your pod on architectural decisions and set technical direction, ensuring solutions are robust, scalable, and aligned with company standards

Champion AI-assisted development as the default way of working, holding your pod to a standard where weeks compress to days and days compress to hours

Remove engineering blockers and facilitate cross-functional technical discussions to keep delivery on track

Partner with the delivery team to ensure on-time, on-scope delivery across all active projects

Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps)

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