Role Summary
The Manager, Software Engineering leads multiple developers across delivery pods with accountability for both technical excellence and team health. This role owns the architectural integrity of solutions across teams, removes engineering blockers, and ensures delivery meets quality and timeline commitments. The Manager is equally responsible for growing a high-performing team and maintaining the trust of clients and internal stakeholders through transparent, reliable execution.
What You Will Do
- Guide teams on architectural decisions, set technical direction, and ensure solutions are robust, scalable, and aligned with company standards.
- 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 team 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 (RAI) guidelines and development best practices across all teams.
- Manage end-to-end solution quality in partnership with pod leads, from design through deployment. Stakeholder & Client Coordination
- Communicate team progress, risks, and outcomes clearly to internal stakeholders and external clients.
- Maintain a strong comms loop with the delivery team to keep project requirements aligned.
- Support pre-sales and business development by providing low-level solution architecture, demos, and technical Q&A on calls. Resource Planning & Hiring
- Conduct hiring interviews and contribute to candidate assessment for engineering roles.
- Assist with quarterly resource allocation planning across pods.
What You Bring
5+ years of software engineering experience, including at least 2 years in a technical lead or management role.
Demonstrated ability to drive architectural decisions and maintain engineering quality in a fast-paced delivery environment.
Experience managing and growing engineers across different levels.
Comfortable engaging directly with clients and stakeholders—you can translate 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.
Skills Required
- 5+ years of software engineering experience, including at least 2 years in a technical lead or management role.
- Proven ability to drive architectural decisions and maintain engineering quality in fast-paced delivery environments.
- Experience managing and growing engineers across different levels.
- Comfortable engaging directly with clients and stakeholders and translating technical complexity into clear communication.
- Familiarity with AI/ML solutions and modern MLOps or software delivery practices.
- Track record of championing responsible, ethical AI and fostering an inclusive team culture.
- Ability to conduct hiring interviews and contribute to candidate assessment for engineering roles.
- Requires a certain level of in-office presence based out of the Toronto or Calgary office locations.
What We Do
AltaML is a leading developer of AI-powered solutions. Working with organizations that want to leverage their data using artificial intelligence (AI), AltaML develops solutions that create operational efficiency, reduce risk, and generate new sources of revenue. Through a deep understanding of organizational pain points and challenges, AltaML develops solutions that encompass the entire machine learning (ML) life cycle, from evaluating potential use cases and determining feasibility, to piloting solutions, putting code into production, and ensuring models evolve over time.








