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AltaML

Manager, Software Engineering

  • Toronto, ON, Canada

Full-time

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The original listing is kept below for reference.

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Job details

Job type
Full-time
Closing date
Experience
5+ years of software engineering experience, including at least 2 years in a technical lead or management role
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Engineering @ AltaML - How We Work:

  • We are an AI-first company. Claude Code and AltaML's shared configuration and skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people use.
  • We expect dramatically higher productivity from working this way. A step change, not a marginal gain. That's the baseline we hire and promote against, not an aspirational ceiling.
  • We believe AI has compressed what used to take weeks into days, and what used to take days into hours. Estimates, sprint commitments, and delivery timelines should reflect that reality, not pre-AI habits.
  • Show us, don't tell us. As part of applying, share an example of your AI-assisted coding: a PR, a repo, a recorded session, or whatever best demonstrates how you actually work with AI day to day.
  • We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.



About the Role:
AltaML is looking for a Manager, Software Engineering to lead a delivery pod where technical excellence and team health go hand in hand. You'll own the architectural integrity of your pod's solutions, clear the path for your engineers to do their best work, and keep delivery on time and on scope, all while operating at AltaML's AI-first standard for how fast and how well work gets done. This is a role for someone who can set the technical bar, grow a strong team, and keep clients and stakeholders confident in what your pod delivers.

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



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.
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Responsibilities

Lead a software engineering delivery pod by setting technical direction, maintaining architectural integrity and solution quality, removing blockers, and ensuring projects are delivered on time and within scope. Develop and support engineers, champion AI-assisted and responsible development practices, coordinate with clients and stakeholders, and contribute to hiring and resource planning.

Requirements

Requires at least five years of software engineering experience, including two or more years in a technical lead or management role, with hands-on fluency in AI coding tools. Candidates should have experience with architecture, engineering quality, people development, client communication, AI/ML or MLOps practices, responsible AI, and inclusive team culture.

Skills

  • Software Engineering
  • Technical Leadership
  • Software Architecture
  • AI-Assisted Development
  • Claude Code
  • Team Management
  • Career Development
  • Responsible AI
  • Quality Assurance
  • Client Communication
  • Stakeholder Management
  • Resource Planning
  • Hiring
  • AI/ML
  • MLOps
  • Solution Delivery

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Categories

  • Software
  • Technology
  • Management & Leadership
  • Engineering
  • Consulting

Keywords

  • Claude Code
  • AI-Assisted Coding
  • AI-First Development
  • Software Engineering
  • Software Architecture
  • Technical Direction
  • Scalable Solutions
  • Engineering Quality
  • Delivery Management
  • Project Scope
  • Cross-Functional Collaboration
  • Frontend
  • AI/ML
  • DevOps
  • Responsible AI
  • Explainable AI
  • Fairness
  • Auditability
  • Solution Quality Assurance
  • Deployment
  • Client Communication
  • Stakeholder Management
  • Pre-Sales
  • Solution Architecture
  • Hiring
  • Resource Allocation
  • MLOps
  • Career Development
  • Inclusive Culture

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