Manager, Software Engineering

AltaML; Calgary; Hybrid; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Uncapped vacation

Make an impact

PhD/Master level colleagues

Competitive benefits

Hybrid office spaces

Big Slack energy

Job summary

AltaML, a leading North American applied AI company, seeks a Manager, Software Engineering to lead multiple developers across delivery pods, owning architectural integrity and timely delivery.

You will grow a high-performing team, remove blockers, and partner with clients to translate complex tech into clear plans. In-office presence in Toronto or Calgary is required, with a hybrid work arrangement.

Qualifications

• 5+ years in software engineering including 2+ years in a lead/manager role.
• Experience guiding architectural decisions in a fast-paced delivery environment.
• Proven ability to grow engineers and manage cross-team collaboration.

Responsibilities

• Guide teams on architectural decisions and set technical direction.
• Remove blockers and facilitate cross-functional discussions to keep delivery on track.
• Partner with delivery to ensure on-time, on-scope delivery across projects.
• Lead or participate in cross-pod technical guilds (Frontend, AI/ML, DevOps).
• Communicate progress, risks and outcomes to stakeholders and clients.

Skills

Software engineering

Technical leadership

Architectural decisions

Client communication

AI/ML familiarity

MLOps

Team growth

DevOps

Tools

AWS

Kubernetes

CI/CD

Job description

AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions. We are a company like no other – we believe in making small bets, failing fast, and being better together. We’re looking for creative problem‑solvers who obsess about the customer to find wins across different industries. We don’t hire for fit; we hire to add. We are looking for people who play our core values of being: Agile, Gritty, Humble, and Happy. If you’re passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you!

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 communication 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.

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

Equal Opportunities

AltaML is dedicated to fostering a safe, diverse, and inclusive workplace as an equal‑opportunity employer. We welcome applications from qualified individuals of all backgrounds, encompassing ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and educational backgrounds. If you are invited for an interview and require accommodations during the interview process, please don’t hesitate to let us know. AltaML acknowledges that its head office is located on Treaty 6 territory, and respects the histories, languages, and cultures of First Nations, Métis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

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.

Core Values

• Gritty – We are entrepreneurial, determined, and resilient, pushing through challenges to achieve our goals.
• Agile – We make decisions based on “little bets” creating a safe space to take risks. We embrace an interactive process, allowing ideas to fail quickly or be scaled iteratively. Together, we continuously refine and improve our approach to reach the desired outcome.
• Humble – We listen to data, embrace new ideas, admit limitations and take ownership to solve problems. We constantly push ourselves to improve and excel.
• Happy – We ignite passion and purpose by fostering a dynamic work environment. We encourage tap dancing to work, common sense over rules, empowering team members to find joy in their contributions, and being your authentic self.

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. If you would like more information about how your data is processed, please contact us.