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'll Do:

Technical Execution & Oversight

• 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.

$120,000 - $150,000 a year

This role requires a certain level of in-office presence, based out of our Toronto or Calgary office locations.

Responsible AI (RAI)

AltaML employees, contractors, and associates must be trained and well-versed in the importance of Responsible AI and empowered to enact RAI principles by developing and deploying AI solutions. They should also be empowered to raise and escalate RAI concerns as required.

AltaML is responsible for elevating public discourse and awareness of AI through open, transparent communications with the broader public.

We Look for A-Players Who:

- Express our core values

- Are hungry for knowledge

- Want to learn new skills

- Are respectful

- Collaborate with others across the whole company

- Share knowledge with coworkers

- Educate and promote AI and ML concepts both internally and externally

- Have a high work ethic and are self-motivated

Our Perks:

Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.

Make an Impact - Witness the impact your work contribution has on the success of our company.

Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.

🩺Competitive Benefits - For all full time, permanent employees.

🏢 Office as a Resource - Hybrid work environment with state-of-the-art office spaces that ignite collaboration.

Big Slack Energy - IYKYK.

Our Culture:

You will be working in a high-paced environment focused on creating unique ML solutions to problems across multiple industries to generate impactful value. You will be working at a company with employees who have multiple years of industrial and academic experience in data science, software engineering, product development, and machine learning fields.

You will be able to experience a collaborative company culture, which means we believe in working hard, getting the job done, and enjoying the group social on Fridays. You'll also get flexibility in where you work, what hours you work, how much vacation you take, and what you wear. We expect hard work but respect work/life balance.