About this role
Technical Execution & Oversight
- 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)
People Leadership & Development
- 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
Responsible AI & Quality Assurance
- 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
Stakeholder & Client Coordination
- 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
Resource Planning & Hiring
- 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
What You Bring:
- 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