Elevate Your Potential

Explore career possibilities at AltaML today

Not Your Typical Startup

We believe in making small bets, failing fast, and being better together. We are on the lookout for individuals who share our belief in the future of artificial intelligence (AI)—visionary problem-solvers, out of the box thinkers who strive to solve big problems for customers, and early tech adopters driven to achieve success. We don’t hire for fit; we hire to add. We want team members who exemplify our core values and are passionate about AI.

If you thrive in a dynamic setting and are eager to collaborate with a diverse and exceptionally talented team, we want to connect with you! 

Our Core Values

Gritty

We are entrepreneurial, determined, and resilient, pushing through challenges to achieve our goals and continuously striving for innovation and excellence in everything we do.

Humble

We listen to data, embrace new ideas, admit limitations, and take ownership to solve problems. We constantly push ourselves to improve and excel. 

Agile

We make decisions using “little bets,” creating a safe space to take risks. This process lets ideas fail fast or scale iteratively, allowing us to refine and improve our approach together.

Happy

We ignite passion with a dynamic work environment where tap dancing is encouraged, common sense prevails, and team members find joy in being their authentic selves.

Learn More About Life at AltaML

Investing in Our Team

Exponential Growth

You’re joining a fast-paced startup that empowers you to take control of your professional goals. Every full-time employee receives a professional development fund, along with an individual development plan that serves as a roadmap for success.

Uncapped Time-off

Life happens, unexpected events come up, and everyone needs a break. Take the time you need when you need it—guilt-free.

Unmatched Culture

We work with some of the best and brightest in the business. Period. Which means we actually enjoy spending time together. You can be YOU here. From our Slack channels to how we interact in the office—good vibes and humor are always welcome.

Hybrid Work Environment

Team members have the flexibility to achieve goals from home in sweatpants or collaborate in person at any of our office locations across the country. We don’t stick to a 9-to-5 schedule—you set your hours, meet your deliverables, and choose where it all happens.

Competitive Benefits

Full-time, permanent team members can expect a comprehensive benefits package that goes beyond basic health coverage, including matching GRSP, a health spending account, additional mental health services coverage, and more.

The Interview Process

1

Apply

Our talent team will contact you if your application meets most of our criteria—expect a 30-minute video call. If you advance to the next round, you’ll get an email. At this stage, we won’t provide specific feedback.

2

Initial Screening

This is a detailed interview with the hiring manager. For technical roles, there will be a technical interview or assessment. We’ll ensure you’re well prepared and understand what’s ahead. It’s fun, we promise!

3

Interview / Technical Assessment

After the first interview, you’ll move to a virtual panel interview with no more than four people. This stage focuses on handling tricky scenarios and gives YOU the chance to ask insightful questions.

4

Reference Verification

We do these things called references. We know—weird, right? Who would give a bad reference? Well, it’s not about finding the bad—It’s about gathering more data on how to best lead and motivate you.

5

Background Check

Non-negotiable. All AltaMLers must have a clean and clear criminal background check.

6

Offer

Your phone will ring with good news—please answer it! We’ll review the offer and total rewards in detail. We’ll be crossing our fingers and toes while we wait for your acceptance.

Application process may vary dependent on role.

Team Insights

AltaML has been a game-changer for me. Despite limited machine learning knowledge when I joined after several post-docs, I found a welcoming team that has remained humble as we’ve grown from five to over 100 team members.

Quotes

Matt Dowling

Staff Machine Learning Developer

AltaML

I love being a part of the AltaML team! The experience has been incredibly enriching, and words cannot express my gratitude for this opportunity. The company is home to many brilliant individuals, making each day a journey of exciting learning.

Quotes

Jenny Lien

Manager, Data Science

AltaML

I’m constantly pushing my boundaries and collaborating with an outstanding cross-functional group every day. What sets AltaML apart is the supportive community. From day one, you’re made to feel like an integral part of the team.

Quotes

Cassy Sides

Venture Manager

AltaML

Working at AltaML has been the most enriching experience in my career, applying machine learning and AI to solve some of the public sector’s most challenging issues we face today. AltaML’s team is dynamic, fostering a positive culture that encourages accelerated opportunities for professional growth and development.

Quotes

Joan Vlasschaert

Senior Manager, Data Science

AltaML

AltaML has been an incredible journey of growth and learning. The opportunities are endless—whether through cross-functional teams, exposure to new challenges and technologies, or the knowledge shared among colleagues. I’m grateful to work in an environment where authority and decision-making are integral to our daily operations, allowing us to explore and innovate continuously.

Quotes

Mohammad Riazi

Director, Data Science

AltaML

AltaML has been a game-changer for me. Despite limited machine learning knowledge when I joined after several post-docs, I found a welcoming team that has remained humble as we’ve grown from five to over 100 team members.

Quotes

Matt Dowling

Staff Machine Learning Developer

AltaML

I love being a part of the AltaML team! The experience has been incredibly enriching, and words cannot express my gratitude for this opportunity. The company is home to many brilliant individuals, making each day a journey of exciting learning.

Quotes

Jenny Lien

Manager, Data Science

AltaML

I’m constantly pushing my boundaries and collaborating with an outstanding cross-functional group every day. What sets AltaML apart is the supportive community. From day one, you’re made to feel like an integral part of the team.

Quotes

Cassy Sides

Venture Manager

AltaML

Working at AltaML has been the most enriching experience in my career, applying machine learning and AI to solve some of the public sector’s most challenging issues we face today. AltaML’s team is dynamic, fostering a positive culture that encourages accelerated opportunities for professional growth and development.

Quotes

Joan Vlasschaert

Senior Manager, Data Science

AltaML

AltaML has been an incredible journey of growth and learning. The opportunities are endless—whether through cross-functional teams, exposure to new challenges and technologies, or the knowledge shared among colleagues. I’m grateful to work in an environment where authority and decision-making are integral to our daily operations, allowing us to explore and innovate continuously.

Quotes

Mohammad Riazi

Director, Data Science

AltaML

Start Your AltaML Career

AltaML is seeking a Director, Client Success to own delivery outcomes, client relationships, and portfolio health across our most complex engagements. This is a senior leadership role that sits at the intersection of delivery, strategy, and customer success, accountable for ensuring that clients realise measurable value from everything AltaML builds and deploys.

The Director, Client Success retains the same strategic mandate, now aligned to industry-standard terminology that reflects what the role truly does: build enduring partnerships, drive adoption, and translate delivery insight into lasting client impact.

Reporting into the GM, Enterprise AI, the Director, Client Success is accountable for what happens once engagements begin: delivery quality, stakeholder satisfaction, and renewal.

Client Success & Relationship Management

  • Serve as the senior client relationship owner for all active engagements within your portfolio, the primary escalation point and the face of AltaML’s delivery function.

  • Ensure clients are actively using and deriving measurable value from what has been delivered, identifying friction early and driving adoption strategies with the delivery team.

  • Identify renewal and expansion opportunities within existing accounts, collaborating with the Vertical Lead to maintain a healthy pipeline of follow-on work.

  • Minimise churn by maintaining strong executive-level relationships and acting quickly when client health signals decline.

  • Navigate politically sensitive stakeholder environments with discretion, ensuring AltaML is consistently positioned as a trusted partner — not just a vendor.

Delivery Oversight

  • Own outcomes across delivery ensuring every active engagement meets its commitments.

  • Oversee AI Architects (AIAs) embedded in client engagements (where applicable), with accountability for team performance, delivery quality, and risk escalation. 

  • Apply sound judgment to PDM deployment decisions: assess stakeholder complexity, reporting burden, and coordination overhead before assigning dedicated project management resources — PDMs are earned by complexity, not default.

  • Manage developer allocation in partnership with Tech Leads, flagging capacity conflicts and context-switching risks before they become delivery problems.

  • Lead scope management discipline — enforce change order processes, protect teams from overextension, and ensure clients understand what is and is not included in base delivery.

  • Conduct or oversee milestone and budget reviews as part of standing weekly portfolio governance.

Portfolio Strategy & Business Development

  • Partner with the Vertical Lead on account strategy — surfacing delivery insights, flagging upsell and expansion signals, and advising on how sales conversations should be structured to set realistic delivery expectations.

  • Identify repeatable product opportunities emerging from delivery work and bring them directly to the Director of Product to ensure promising ideas are prioritised and not lost.

  • Contribute to proposals and statements of work by providing delivery scoping expertise and realistic effort estimates grounded in operational experience.

  • Maintain situational awareness across the vertical’s pipeline and represent delivery capacity and risk in strategic planning conversations with senior leadership.

People Leadership & Team Development

  • Manage and coach PDMs and, where applicable, AIAs embedded in your portfolio providing feedback, removing blockers, and developing the next generation of delivery leaders at AltaML.

  • Model the culture and operating standards AltaML expects: accountability without defensiveness, proactive escalation, and delivery that operates like a business regardless of sector.

  • Support onboarding of new delivery hires into your portfolio, ensuring continuity and context transfer when team compositions shift.

  • Participate in internal org design and delivery methodology work, contributing a practitioner’s perspective to how AltaML scales its operating model.

What You Bring:

  • 7+ years of experience in client success, delivery management, consulting, or a senior client-facing delivery role  with demonstrated accountability for outcomes, not just activities.

  • Proven ability to manage executive-level relationships in complex, politically sensitive environments including government, regulated industries, or large enterprise.

  • Experience leading multi-disciplinary delivery teams, including coaching and performance management of project managers, product managers, or consultants.

  • Strong working knowledge of agile delivery methodologies, project governance, and scope management including how to enforce change orders and protect team capacity without burning client relationships.

  • Comfort operating in AI, data, or technology-adjacent domains you don’t need to be a technical practitioner, but you must be able to engage credibly with engineers and architects on delivery risk and trade-offs.

  • Exceptional written and verbal communication skills; able to distil complex delivery context into clear executive summaries and present risks without creating alarm.

  • Experience using generative AI tools in their day to day work.

Nice to Have:

  • Familiarity with AI or machine learning solution delivery  including how to manage client expectations during model development, validation, and change management phases.

  • Background in Project Management and/or Product Management. 

  • Background in a client-facing role at a technology consultancy, professional services firm, or SaaS company managing enterprise accounts.

  • Experience identifying and developing product opportunities from delivery work, including conducting market research, competitive landscape analysis, and presenting business cases to senior leadership.

About the Role

AltaML is seeking a Fractional Director of Legal to serve as the company's primary legal resource on a part-time, ongoing basis. Reporting to the CFO, this individual will own commercial contracting, corporate governance, and legal risk management, while managing outside counsel and supporting the company's board, investor, and cap table functions. This role suits an experienced legal professional — potentially supporting other clients or engagements in parallel — who wants a meaningful, embedded role at a growing company without a full-time commitment. Scope and time commitment will be revisited periodically as AltaML's needs evolve, with the possibility of transitioning to full-time.

Engagement Structure

  • Time commitment: Approximately 2–3 days per week (or equivalent hours), with flexibility based on transaction volume and business needs

  • Structure options: Open to contract/consulting arrangement or part-time employment, depending on candidate preference and tax/regulatory considerations

  • Availability: Responsive availability for board meetings, urgent contract turnarounds, and time-sensitive transaction matters, even outside core scheduled days

  • Compensation: Structured as a monthly retainer or day-rate, to be scoped based on anticipated hours; potential for equity component given AltaML's growth stage

 

This job description is intended to convey information essential to understanding the scope of the role and is not exhaustive. Time commitment, structure, and responsibilities may be adjusted as AltaML's needs evolve, including a potential path to full-time.

Commercial Contracts & Compliance

  • Draft, review, and negotiate a broad range of commercial agreements, including client statements of work, master services agreements, NDAs, procurement and vendor contracts, and partnership agreements

  • Develop and maintain contract templates, playbooks, and approval workflows so routine agreements can move quickly even with limited legal bandwidth

  • Monitor and ensure compliance with applicable laws, regulations, and industry standards across the jurisdictions AltaML operates in

  • Advise internal stakeholders (Sales, Delivery, People) on contractual and regulatory questions

Corporate Governance

  • Maintain corporate records, entity structures, and statutory filings across all AltaML entities

  • Ensure compliance with corporate governance obligations and internal policies

  • Support the development and maintenance of internal legal policies and procedures

Board & Investor Relations

  • Prepare board materials, resolutions, and minutes in coordination with the CFO and executive team

  • Support investor relations activities, including due diligence processes, disclosure schedules, and shareholder communications

  • Manage cap table administration, including equity issuances, option grants, and related documentation, in partnership with Finance

Transaction Support

  • Lead or support legal workstreams on corporate transactions, including financings, M&A, joint ventures, and strategic partnerships

  • Manage due diligence processes (both as a target and as an acquirer), including data room preparation and review

  • Draft and negotiate transaction-related documents (e.g., term sheets, purchase agreements, disclosure schedules) alongside outside counsel

  • Coordinate cross-functionally with Finance, Sales, and Delivery to ensure transactions close smoothly and post-close obligations are tracked

External Legal Resource Management

  • Manage relationships with outside counsel across specialty areas (e.g., IP, employment, tax, litigation), including scoping, budgeting, and quality control of external work product

  • Determine when to handle matters in-house versus engage outside counsel, optimizing for cost and risk — particularly important given limited on-site hours

What You Bring:

  • J.D. and active membership in good standing with the Law Society of Alberta (or eligibility to obtain Alberta membership, e.g., via NCA accreditation or interprovincial transfer)

  • 5+ years of legal experience, including significant experience in commercial contracting and corporate law; in-house experience strongly preferred

  • Experience supporting corporate governance matters, board processes, and cap table/equity administration, ideally at a venture-backed or growth-stage company

  • Working knowledge of technology, SaaS, or professional services contracting

  • Demonstrated ability to manage outside counsel effectively and cost-consciously

  • Prior experience in a fractional, part-time, or portfolio-career legal role is a plus, along with the discipline to prioritize effectively across a limited number of working days

  • Excellent judgment, discretion, and communication skills; comfortable advising executives and the board directly

  • Highly organized and self-directed; able to operate as a standalone legal function with minimal internal legal support

What Success Looks Like:

  • Contract turnaround times remain fast and predictable despite limited weekly hours, supported by strong playbooks and templates

  • Corporate governance and cap table records are accurate, current, and audit-ready at all times

  • The board and investors receive clear, timely, well-prepared materials and support, with no gaps caused by part-time availability

  • Outside counsel spend is well-managed and aligned to matters that genuinely require specialized expertise

  • The CFO and leadership team have clear visibility into legal priorities and turnaround expectations given the fractional structure

About Us:
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 are 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!

About the Role:

As our next Information Security Operations Specialist, you own the daily operational information security activities at AltaML, moving beyond basic checklist execution to deliver measurable security resilience. You will safeguard our corporate and production infrastructure, optimize automated defense networks, and proactively counter sophisticated software supply chain and AI-specific threats.

Required Results

  1. SOC2 Continuity & Program Expansion
    Maintain the existing SOC2 program with 100% continuous compliance across all controls. Partnering closely with the IT team for execution and infrastructure support, you will successfully plan and implement foundational controls required for future security programs (e.g., ISO27001) as the enterprise scales.
    KPI: Zero major non-conformances during external audits; 100% of compliance evidence is accurate and collected on time.

  2. AI-Powered Red Teaming
    Plan, configure, and operate our automated AI-powered red team program to independently uncover vulnerabilities before they can be exploited.
    KPI: Successfully execute scheduled automated adversarial simulations, delivering clear technical risk documentation and measurable remediation roadmaps.

  3. Intelligent Threat Monitoring (SIEM)
    Manage, calibrate, and continuously improve our AI-supported SIEM platform to optimize visibility and protection across environments.
    KPI: Minimize Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) while reducing false-positive alerts by 20% annually through rule tuning.

  4. Supply Chain & Vulnerability Resilience
    Proactively monitor, triage, and mitigate CVEs, third-party software vulnerabilities, and potential software supply chain attacks.
    KPI: 100% of critical zero-day vulnerabilities are assessed and mapped to definitive threat response plans within established SLA windows.

  5. Cross-Functional Engineering Security Coordination
    Coordinate security activities and facilitate the seamless integration of detective and protective controls directly within the engineering lifecycle and IT architecture solutions.
    KPI: 90% of development pipeline security review findings are collaboratively triaged and resolved without delaying production deployment.

  6. Agentic AI Secure Enablement
    Establish and execute a comprehensive security evaluation and governance framework for third-party, off-the-shelf Agentic AI platforms (e.g., Claude Desktop) connecting to AltaML’s systems.
    KPI: 100% of target enterprise AI tools are evaluated against strict data privacy boundaries, session guardrails, and identity controls before access is authorized.

What You'll Do:

    Threat Monitoring & Incident Operations (25%)

  • Manage and improve the AI-supported SIEM, network monitoring tools, and alerting infrastructure.

  • Respond to operational security incidents, investigate anomalies, and execute vulnerability analysis.

  • Compliance, Audits & IT Team Collaboration (20%)

  • Conduct internal security reviews against compliance baselines (SOC2, ISO27001).

  • Collaborate with the IT administration team to execute controls and ensure system accounts sync correctly across in-scope applications.

  • Adversarial Simulation & AI Red Teaming (20%)

  • Operate and tune automated AI-powered red teaming platforms.

  • Deploy ethical hacking techniques to safely test internal systems, cloud infrastructure, and network boundaries.

  • Secure Engineering & Architecture Integration (15%)

  • Work closely with development and architecture teams to design secure infrastructure solutions.

  • Embed security guardrails into code workflows to catch software supply chain threats early.

  • Emerging AI Technology Governance (10%)

  • Evaluate risks associated with new third-party AI agents and desktop integrations.

  • Define identity controls, data boundaries, and safe configurations for user tool adoption.

  • Reporting, Policies & Documentation (10%)

  • Create and maintain controls, policies, SOPs, and technical security guidelines.

  • Provide senior leadership with clear metrics and reporting on security incidents and posture maturity.

What You Bring:

  • Experience: 3–5 years of dedicated professional experience in an Information Security operations or engineering capacity (ideally in a fast-paced SaaS, cloud-native, or startup environment).

  • Compliance Literacy: Practical familiarity with maintaining or supporting a formal security certification program (such as SOC2 or ISO27001).

  • Technical Domain Knowledge: Good understanding of cloud computing security concepts, modern SIEM setups, firewalls, data encryption, and identity directories.

  • OS Agility: Hands-on comfort securing and navigating diverse operating systems, specifically MacOS, Linux, and Windows infrastructure.

  • Education: A related technical degree or diploma in a matching field (e.g., Computer Science, Cybersecurity, Systems & Network Administration) or equivalent deep practical experience.

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.

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:
At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer’s expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success. 

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.

About the Role

As a Lead AI Engineer, you will play a key individual contributor role in designing and delivering production-ready AI-powered applications for the Brilliant Harvest platform. Combining deep technical expertise with leadership skills, you will mentor teammates, guide architectural decisions, and ensure the delivery of scalable, high-quality software solutions. Working closely with the VP of AI Engineering and the AI Architect, you will help shape the technical direction of our AI stack — from RAG pipelines and agentic workflows to document ingestion and model integration.

This role is ideal for someone who thrives in a fast-paced environment, loves solving complex problems, and is excited about taking ideas from concept to deployment in a domain where AI is transforming a legacy industry.

Key Responsibilities

    Architect & Build

  • Design, develop, document, and maintain robust prototypes and scalable production systems, with a focus on applied AI/ML, RAG architectures, and agentic workflows.

  • Build and improve document ingestion pipelines that form the knowledge foundation of the platform, ensuring data enrichment, accuracy, and compliance with manufacturer standards.

  • Evaluate and integrate LLMs, agent frameworks, and supporting tooling as the frontier model landscape evolves, collaborating with the AI Architect on vendor and model selection.

  • Technical Leadership

  • Participate in and often lead brainstorming sessions, design reviews, code reviews, and architecture evolution discussions, ensuring best practices and long-term technical sustainability.

  • Champion coding standards, automated testing, CI/CD practices, and AI-first development workflows (e.g., Claude Code or similar agentic tools) to improve velocity and quality.

  • Contribute to the analysis of business requirements, prepare design and implementation recommendations, and provide reliable development effort estimates.

  • Cross-Functional Collaboration

  • Work collaboratively across Product, Data, Design, and QA teams to drive outcomes aligned with business objectives and the product roadmap.

  • Review and provide feedback on the technical feasibility of UI/UX designs, ensuring seamless integration with backend systems and AI capabilities.

  • Translate data requirements and AI capabilities into clear, actionable specifications, and communicate technical constraints and tradeoffs to non-technical stakeholders.

  • Mentorship & Team Development

  • Provide hands-on guidance, mentorship, and knowledge sharing to junior and intermediate engineers, fostering a culture of learning and innovation — as an individual contributor working alongside them, not as their manager.

  • Promote a "Systems Thinking" mindset, helping engineers move from writing code to orchestrating AI-generated solutions.

  • Design workflows that use AI to accelerate the growth of junior talent rather than automating them out of the process.

Qualifications & Skills

  • 5+ years of professional software engineering or data science experience, with at least 2 years focused on AI/ML systems in production.

  • Proven track record deploying generative AI, LLMs, RAG architectures, or document ingestion pipelines with data enrichment in a production environment.

  • Strong proficiency in Python and at least one of: TypeScript, C# (.NET), or a modern backend language.

  • Experience with React, React Native, or modern frontend frameworks and how they integrate with AI-powered backends.

  • Solid understanding of microservices architecture, API design, and cloud infrastructure.

  • Demonstrated ability to mentor junior engineers and influence technical direction without formal authority.

  • Experience working in a startup environment is considered a strong asset.

  • Experience with agentic workflows, prompt engineering best practices, and AI-first development tooling (e.g., Claude Code or similar) is a strong asset.

  • Familiarity with the agriculture, heavy equipment, or dealership domain is a strong asset.

What Will Set You Apart?

  • You've built in a startup where the roadmap moved under your feet. You've owned things before they were fully defined, and you know the corner you can cut now from the one that costs you in six months.

  • You've taken a research-heavy idea and made it survive contact with real users, real data, and real latency and cost budgets. You know which results hold up in production and which quietly fall apart once the inputs get messy.

  • You understand that RAG lives or dies on retrieval, not generation. When answer quality breaks, you trace it back to why the right document didn't surface — because you know that's usually where it actually broke.

  • You've built evals from scratch, not inherited a dashboard. You can turn "good answer" into measurable criteria, stand up LLM-as-judge or human-in-the-loop pipelines, and keep them running so regressions get caught before customers do.

Why Join Us?

  • Be part of a high-performing team led by Remi Schmaltz, an entrepreneur with decades of experience launching and growing agriculture businesses. 

  • Remote-first role with a flexible work environment.

  • A front-row seat to how AI is changing the way equipment dealers, farmers, and contractors work.

  • A collaborative culture that values growth, learning, and impact.

  • Competitive compensation, ESOP, and benefits.

About Us:
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 are 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 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.

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.

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:
At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer’s expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success. 

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.

AltaML is looking for a Senior Account Executive to own the Architecture, Engineering & Construction (AEC) vertical across Canada and the U.S. You'll bring an existing executive network in Construction Tech, a track record of closing enterprise deals, and the credibility to walk into a conversation with a COO or VDC Director and immediately add value.

This is a net-new role. You won't be inheriting a patched-together territory. You'll be building something from the ground up, backed by existing AEC customers, proven AI solutions, and a company that's already earning its reputation in vertical AI.

What You'll Do:

  • Acquire new AEC enterprise clients and expand existing accounts across Canada and the U.S.

  • Sell AI services and applied AI solutions to C-suite buyers (COO, CTO, CFO) and functional leaders in Pre-Construction, Project Controls, and VDC

  • Own the full sales cycle: sourcing, qualifying, navigating complex multi-stakeholder deals, and closing

  • Apply MEDDIC and Challenger methodologies — not as buzzwords, but as how you actually sell

  • Partner with AltaML's delivery and solutions teams to ensure what you sell gets built and lands well

  • Contribute to AltaML's go-to-market strategy in AEC as a founding voice in the vertical

What You Bring:

  • Deep experience selling enterprise technology into the AEC industry (Construction Tech / ConTech is a must)

  • An established executive network — you can get in the room without cold outreach

  • A track record of consistently hitting or exceeding a $2M+ annual quota

  • Fluency in MEDDIC and Challenger sales frameworks

  • The ability to sell across borders — Canada and the U.S. are both in play

  • Comfort operating in a fast-moving, high-ownership environment where you set your own pace

About Us:
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 are 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!

About the Role

This opportunity is open for candidates located in Calgary, Edmonton, or Toronto.

As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
 
You will move clients from idea → prototype → production → measurable value.
 
This is a hybrid technical and commercial role. You are accountable for architecting sound, secure, and scalable agentic systems — while ensuring they deliver adoption, ROI, and lifecycle growth.
 
You will partner closely with industry vertical leaders, engineering teams, and executive stakeholders.

What You'll Do

  • Lead discovery with senior stakeholders to identify high-impact agentic use cases
  • Translate complex business problems into production-ready AI system designs
  • Architect secure, auditable agentic workflows (reasoning, tool use, data access, evaluation)
  • Drive solutions from prototype to AltaForge production deployment (our internal agentic platform)
  • Ensure all solutions align with AltaForge architecture for reusability and scale
  • Define and enforce evaluation standards to measure outcomes and value creation
  • Support account growth by ensuring successful delivery and lifecycle value realization

What Success Looks Like

  • 6–8 production deployments per year
  • Strong time-to-value from concept to go-live
  • High client satisfaction and measurable business impact
  • High-quality evaluation datasets tied to real outcomes
  • Contribution to recurring and licensing revenue growth

What You Bring

  • 8+ years in AI/ML, architecture, or technical strategy roles
  • Deep experience with agentic AI, RAG systems, orchestration, and tool integration
  • Experience supporting the deployment of AI systems into enterprise or regulated environments
  • Strong systems thinking and architectural judgment
  • Executive presence and ability to operate across technical and commercial domains
  • Bias toward production, accountability, and measurable outcomes
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.

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:
At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer’s expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success. 

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're looking for a Senior Full Stack Software Engineer who is passionate about building high-quality software in an AI-native way. Someone who treats Claude and the latest agentic coding tools as a core part of their craft, not a novelty. In this role, you will own technical delivery end-to-end, from shaping the architecture of ML-powered applications to leading implementation across cloud services, APIs, and modern front-end frameworks, with Claude Code, the Claude Agent SDK, and the Claude API woven into how you design, build, and ship.

You will act as the technical backbone of your project pod, balancing hands-on development with technical leadership, architectural decision-making, and client-facing collaboration. You'll lead epic-level solution design, mentor developers on how to get the most out of Claude in their day-to-day workflows, contribute to shared internal frameworks and skills/plugins, and help shape how we evaluate and deploy emerging AI engineering tooling.

You will thrive in this role if you are:

  • A builder at heart who leans on Claude Code to spin up prototypes in hours and scale them into production-grade systems with confidence.
  • Fluent in agentic development patterns. Writing good specs for Claude, structuring repos so AI agents can navigate them, reviewing AI-generated code critically, and knowing when to delegate versus when to hand-code.
  • A strong communicator who can translate between business requirements, technical realities, and what modern AI tooling actually makes feasible.
  • A decision-maker who brings clarity to ambiguous technical challenges and can evaluate when an LLM-in-the-loop is the right solution versus traditional software.
  • Excited by ML-enabled product development and eager to bridge software engineering with intelligent automation and agentic workflows.

What You'll Do:

  • Reduced Project Risk: Technical risks on projects are significantly reduced through proactive ownership of epic-level technical design, execution, and cross-team dependency resolution accelerated by effective use of Claude for research, code review, and rapid exploration of design alternatives.
  • Improved Technical Decision-Making: The team makes better technology choices through thorough research, evaluation, and documentation of potential solutions, including informed decisions on when and how to apply Claude, MCP servers, and agentic tooling versus conventional approaches.
  • Stronger Client Confidence: Client and stakeholder confidence is increased by leading technical discovery sessions and acting as a technical SME during project discussions, including on the pragmatic use of LLMs and AI-assisted development in client deliverables.
  • Feature & Epic Implementation: Leads implementation for features spanning multiple user stories or services, using Claude Code and agent-driven workflows to accelerate delivery without sacrificing quality.
  • Architecture & Solution Design: Leads the architecture design for moderately complex solutions, often involving multiple services or systems, and chairs technical reviews including architecting LLM-powered features, agent tool integrations, and MCP server designs.
  • AI Engineering Leadership: Champions best practices for working with Claude across the pod, prompt design, skill and subagent creation, context management, MCP integrations, evaluation of AI-generated code, and secure / cost-aware usage of the Claude API.
  • Mentorship & Technical Leadership: Provides technical leadership within the pod, mediates code review disputes, contributes new features and skills to shared AltaML libraries, and assists in the hiring process by conducting technical interviews. Coordinates the work of other engineers and levels them up on modern AI-assisted development.
  • Client Engagement & Discovery: Leads technical discovery sessions with clients to clarify requirements, define technical scope, and identify where Claude-powered features or agentic workflows unlock real product value.
  • Testing & Quality Strategy: Implements higher-level testing strategies, including integration and end-to-end tests for deployed solutions, plus evaluation harnesses for LLM-powered features (regression tests for prompts, agent behaviours, and tool use).

What You Bring:

  • Degree or equivalent work experience in Computer Science, Software Development, or similar
  • 5+ years of experience as a full stack developer
  • Demonstrable, hands-on experience using Claude (Claude Code, claude.ai, or the Claude API) as a daily driver for real software engineering work, not just casual chat use
  • Proven skills at taking ideas from conception to production, including shipping features that are partly or fully built with AI-assisted workflows
  • Strong working experience with Cloud Services (ideally Azure)
  • Strong working experience in a modern object-oriented language
  • Strong working experience writing clean, readable, and easily maintainable code, and a clear point of view on reviewing and hardening AI-generated code
  • Experience with Unit and API testing (e.g., xUnit, Postman, or others)
  • Experience working in an agile environment
  • Experience with Docker
  • Proficiency with Version Control systems (VCS), including working effectively with AI agents in a git-based workflow

Our Commitment
to Diversity, Safety, and Inclusion

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.