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Engineering Manager Transformer Jobs in Toronto, ON

Clio

Manager, Machine Learning Engineering

Toronto, ON · Remote

CA$181K - CA$272K/yr

  • Medical

  • Dental

  • Vision

We are transforming the legal experience for all by bettering the lives of legal professionals ... We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing ...

Clio

Manager, Systems Engineering, Production

Toronto, ON · Hybrid

CA$180K - CA$270K/yr

  • Medical

  • Dental

  • Vision

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: We are currently seeking a Manager, Systems Engineering ...

BMO Capital Markets

Senior Manager Data Engineering

Toronto, ON · Hybrid

CA$94K - CA$176K/yr

  • Medical

  • Life

  • Retirement

DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives ... Hands on experience with extract, transform, load (ETL) for various sources and downstream ...

Parallelz

Head of Engineering

Toronto, ON · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

We allow developers to, with no modifications to their code, transform existing mobile apps into ... Experience managing and scaling cloud‑based production infrastructure on AWS and/or GCP ...

Parallelz

Head of Engineering

Toronto, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

We allow developers to, with no modifications to their code, transform existing mobile apps into ... Experience managing and scaling cloud-based production infrastructure on AWS and/or GCP, alongside ...

Parallelz

Head of Engineering

Toronto, ON · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

We allow developers to, with no modifications to their code, transform existing mobile apps into ... Experience managing and scaling cloud-based production infrastructure on AWS and/or GCP, alongside ...

SNC-Lavalin

Civil Technical Manager

Mississauga, ON · Hybrid

Manage and develop a multidisciplinary team of civil and structural engineering professionals ... engineering services and nuclear organization. We connect people, data and technology to transform ...

Northern Transformer

Technical Buyer

Maple, ON · Hybrid

We deliver high-quality, custom transformer solutions through superior engineering, disciplined ... Management · Maintain strong working relationships with suppliers to ensure performance ...

Magna

Engineering Co-Op Student

Woodbridge, ON

CA$25/hr

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter ... Strong documentation, organizational & project management skills * Strong leadership, problem ...

Electric Power Engineers

Power Systems Engineer III

Toronto, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Identify training needs and present to the Engineering Manager as needed. * Perform other duties ... Together we can transform the future of energy. How we support you: * Comprehensive health and ...

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Showing results 21-40

All JobsEngineering Transformer JobsEngineering Manager Transformer JobsEngineering Manager Transformer Jobs in Toronto, ON

Engineering Manager Transformer information

What is the difference between Engineering Manager Transformer vs Data Engineer?

AspectEngineering Manager TransformerData Engineer
Required CredentialsBachelor's/Master's in Engineering, Computer Science; leadership experienceBachelor's in Computer Science, Data Science, or related field; technical skills in data systems
Work EnvironmentLeading teams, project management, cross-department collaborationBuilding and maintaining data pipelines, data modeling, database management
Employer & Industry UsageTech companies, AI/ML firms, organizations deploying Transformer modelsData-driven companies, analytics firms, AI/ML organizations

While both roles involve technical expertise, the Engineering Manager Transformer focuses on leading teams developing Transformer-based AI models, whereas Data Engineers build and maintain the data infrastructure supporting such models. The former emphasizes leadership and project management, while the latter concentrates on data pipeline development.

What are the key skills and qualifications needed to thrive as an engineering manager transformer?

To excel as an Engineering Manager Transformer, you need a deep understanding of electrical engineering principles, transformer design, and manufacturing processes, usually backed by a bachelor’s or master’s degree in electrical engineering. Familiarity with CAD software, power system analysis tools, and industry standards such as IEEE or IEC, along with relevant certifications like Professional Engineer (PE), is highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies are crucial for ensuring technical excellence, team productivity, and the successful delivery of complex transformer projects.

What is an engineering manager transformer?

An Engineering Manager Transformer is a leadership position focused on managing teams that develop, implement, and maintain transformer models, which are a type of machine learning model commonly used in natural language processing and other AI applications. This role combines technical expertise in transformer architectures with management responsibilities such as team coordination, project oversight, and mentoring engineers. Engineering Manager Transformers play a crucial role in setting technical direction, ensuring best practices, and facilitating collaboration across cross-functional teams. Their work impacts the successful deployment of large-scale AI solutions and helps organizations stay at the forefront of machine learning innovation.

What are some typical challenges an engineering manager transformer faces when leading cross-functional teams?

Engineering Manager Transformers often navigate complex project requirements that require close collaboration between electrical, mechanical, and software engineering teams. One common challenge is aligning diverse technical perspectives and ensuring effective communication to meet project deadlines. Additionally, balancing resource allocation while maintaining high standards for safety and compliance can be demanding. Successful managers foster a collaborative environment and proactively address any knowledge gaps within the team to deliver high-quality transformer solutions.

What are popular job titles related to Engineering Manager Transformer jobs in Toronto, ON?

For Engineering Manager Transformer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Engineering Manager Transformer jobs in Toronto, ON look for?

The top searched job categories for Engineering Manager Transformer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Engineering Manager Transformer jobs?

Cities near Toronto, ON with the most Engineering Manager Transformer job openings:

Engineering Manager Transformer jobs near you
Infographic showing various Engineering Manager Transformer job openings in Toronto, ON as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 68% In-person, 6% Hybrid, and 26% Remote job distribution.

Manager, Quality Engineering and Delivery

CaptivateIQ

Toronto, ON • Remote

Full-time

Re-posted 11 days ago

Job description

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures,  we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.

Join a talented, fast-growing team committed to solving some of the most complex and impactful problems in sales performance management.

About the Role 

At CaptivateIQ, Delivery Engineering (DE) is part of the Reliability, Infrastructure and Quality (RIQ) pillar. The Delivery Engineering's mission is to continually improve the way our engineering organizations builds and delivers our SaaS products. The team owns CI/CD pipelines, testing frameworks and local developer experience. The team also works with teams throughout the organization to improve product quality and contributes to agentic development tooling and scale.

Location:

  • East Coast or Toronto

Responsibilities

  • Lead and Inspire: Lead, inspire, and grow a distributed team of Engineers, fostering a culture of high trust and psychological safety.

  • Developer Experience: Contribute to strategic investments in the software engineering lifecycle that will make CaptivateIQ's developer experience world class.

  • Quality Assistance: Partner with engineering teams to improve products by coaching them on testing strategies and leveling up their thinking regarding software quality.

  • Technical Leadership: Provide technical direction by setting architectural guardrails for test automation and delivery pipelines across the organization.

  • Strategic Partnership: Partner with Product, Design, and Engineering leaders to prioritize roadmaps and execute a long-term strategy that optimizes for product health and reliability.

  • Talent Development: Develop engineering talent through effective coaching, mentorship, and performance management, with a passion for helping engineers advance their careers.

  • Operational Excellence: Own the end-to-end delivery of the DE team's portfolio, ensuring internal solutions and frameworks are reliable and secure at scale.

  • Evangelism: Act as a strong advocate for our engineering best practices, explaining the "why" behind different methodologies to various stakeholders across the company.

  • Async Collaboration: Champion inclusive, async-first practices to ensure the team, distributed across Poland and other regions, can collaborate effectively.

Requirements

  • Management Experience: 2+ years of experience as an Engineering Manager or in a formal people management role (M-level).

  • Developer Experience: Contribute to our bigger software lifecycle, using your experience to discern what improvements will drive meaningful impact to the broader organization.

  • Quality Expertise: Deep expertise in software quality, QA, or SDET practices with a demonstrable background in leveling up testing standards.

  • CI/CD Expertise: You've been responsible for the health of CI/CD pipelines at a mid-sized SaaS company using GitHub/GitHub Actions.

  • Engineering Depth: Extensive software development experience as an individual contributor or manager, with a focus on quality and testability.

  • Technical Stack: Proficiency with (or ability to guide) teams using Typescript, React, Python, and Django.

  • SaaS Experience: Experience using modern testing methodologies to support a large B2B SaaS product.

  • Communication: Exceptional interpersonal and written communication skills, with a proven ability to have "tough conversations" and navigate complex situations.

  • Testing Frameworks: Experience with modern test automation frameworks such as Vitest, Pytest and PlayWright.

  • Growth Mindset: High sense of ownership and a collaborative, humble learner mindset.

Bonus Points

  • PM Background: Background in Product Management to help address problem-solving and feature definition.

  • Monolith Codebases: You've supported and scaled an engineering org with a monolithic code base.

  • Performance Testing: Expertise in Performance Testing to add value to existing engineering efforts.

  • Agentic Development: Experience developing methodologies for evaluating new approaches to software engineering work, and supporting their adoption.

  • Infrastructure Knowledge: Experience with Github Actions pipelines, Deployment Processes, and improving Developer Experience.

  • Architecture: Understanding of Single Page Applications (SPAs), micro front-end architectures (MFAs), and CDNs.

Notice for Prospective Candidates
Only emails from @captivateiq.com should be trusted.  We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:
  • Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc. 
  • Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
  • Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
  • Ask candidates to make a payment in order to be considered for a position.
  • Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
  • Please note that we'll only ask for more sensitive personal information in connection with background checks after an offer is made.
$160,500 - $238,000 a year
The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. The base salary range for this role is $160,500- $220,000. Compensation for candidates hired in Canada will be provided in Canadian dollars and may differ from the ranges listed above due to currency conversion. Base salary is just one component of CaptivateIQ's competitive total rewards package, which also includes equity, comprehensive health benefits, and other perks and benefits.
CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States
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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