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Added 3 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer - Montreal
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 1 month ago
R
Software Developer- EN
RBC
Montreal, QC
- Full-time
…Spring/Spring Boot, Vue, micro services and API development and GenAI POC prompt-based programming framework, developer productivity improvements for US-Wealth Management…
Added 3 months ago
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{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 3 months ago
C
AI Engineer
Cprime
Toronto, Ontario
- Contract
Strong foundational knowledge in GenAI , Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and…
Added 3 months ago
TH
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
- Full-time
Added 1 month ago
BC
BCG Platinion | Senior AI Tech Consultant, Cybersecurity
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
Added 3 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.
Added 4 months ago
C
Python Full Stack Developer (contract)
Capgemini
Montreal, QC
- Contract
We are seeking an accomplished Full Stack Developer with expertise in Generative AI (GenAI) technologies to join our team and drive key initiatives forward.
Added 1 month ago
TI
Digital Twin Consultant
Tekgence Inc
Toronto, ON
- Contract
Identify opportunities to leverage AI/ML and GenAI within Digital Twin use cases.
Added 1 month ago
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AI/ML Engineer I
TD
Toronto, ON
- Full-time
Understanding of different GenAI models, development frameworks (Langchain, Semantic Kernel) and AI ecosystem tooling (evaluation, monitoring, governance, security, vector databases)
Added 1 month ago
Software Development Engineer Intern, ROBOTICS - 2027
Amazon
Toronto, ON
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
A
Director-Technology Delivery-AI&Data
Accenture
Toronto, ON
- Full-time
Added 1 month ago
FC
Technical Architect Sr
Fidelity Canada
Mississauga, ON · Toronto, ON
- Full-time
Collaborate with development and engineering teams for GenAI/LLM integration, AI-enabled automation and analytics, and Machine Learning Operations (MLOps)
Added 1 month ago
GS
Associate Director, Commercial Operations
Gilead Sciences
Mississauga, ON · CA - ON - Mississauga
- $147,305 to $190,630 CAD / year
- Full-time
Strong understanding of CRM (Veeva or Salesforce), BI platforms (Tableau), modern data platforms (Databricks/ICF) and AI/GenAI concepts.
Added 3 months ago
S
Generative AI Consultant
Sia
Montreal, Quebec
- Full-time
Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI/LLM solutions across diverse industries. You'll act as a vital bridge between technical…
Added 2 months ago
C
Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
…Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
Added 3 months ago
M
AI Engineer
Morningstar
Toronto, Ontario
- Full-time
Our team is responsible not only for delivering GenAI capabilities, but also for solving the underlying challenges that make them production-ready - document vectorization, caching…
Added 4 months ago
K
Senior Product Designer
KOHO
Remote, Canada
- $135,000 to $175,000 CAD / year
- Full-time
- Remote
You incorporate GenAI into your design workflows to boost creativity and efficiency.
Added 2 months ago
A
Forward Deployed Technical Consultant -Databricks
Accenture
Remote, Canada
- Full-time
- Remote
A Forward Deployed Technical Consultant with strong experience building GenAI solutions and deep expertise in productionizing AI applications on the Databricks Intelligence Platform. You…
Added 4 months ago
Software Development Manager, MADS
Amazon
Toronto, Ontario
…worldwide. Our work sits at the intersection of data engineering and developer experience, and increasingly extends into GenAI-powered interfaces and data lake…
Added 1 month ago
GS
SBT Content Software Engineer II
Guidewire Software
Remote, Canada
- Full-time
- Remote
…observability. Your work will support PDO’s mission to embed GenAI across our products, improve operational excellence, and deliver secure, reliable, and scalable cloud services at…
Added 1 month ago
BC
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
Added 4 months ago
L
Senior Director, Product Management – Lito Platform
Litera
Toronto, Ontario · Canada-Toronto, ON-Office
- Full-time
Define and own the long-term product vision and strategy for Lito, Litera’s GenAI platform and AI intelligence layer and the Litera One Web experience.

Amazon

Software Development Manager, MADS

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Jun 23, 2026

Original job description

The Measurement and Data Science (MADS) organization at Amazon Ads is looking for a Software Development Manager to lead an established engineering team in our Programmatic Reporting group. Advertisers and partners measure the success of their Amazon Ads campaigns through the data this team delivers - and as AI reshapes how advertising is planned and optimized, that data has become a foundation that AI agents, machine learning models, and analytics engines around the world depend on.

Programmatic Reporting owns Amazon Marketing Stream and the Reporting APIs - the interfaces advertisers and partners worldwide use to consume Amazon Ads measurement data. Behind them sit the pipelines that source, transform, and deliver that data, processing billions of aggregated datapoints on Apache Spark, Apache Iceberg, and AWS. The freshness, accuracy, and cost-efficiency of that data are direct outcomes of the decisions your team makes.

This is a hands-on engineering leadership role. You will set technical direction alongside senior engineers, raise the bar on design and operational quality, and develop a team that thrives on hard distributed-systems problems. The ideal candidate reads code, understands cost models, and can challenge a design with a concrete alternative. You are equally comfortable in a design review, an operational deep dive, and a one-on-one focused on an engineer's growth.

Key job responsibilities
- Set and execute the technical roadmap, making deliberate tradeoffs across data freshness, accuracy, and cost.
- Shape how advertisers and partners consume reporting data through emerging GenAI-powered interfaces and data lake integrations.
- Partner with senior and principal engineers on architecture decisions spanning data pipelines, query engines, and upstream data integration.
- Lead a team of software engineers building the data sourcing, transformation, and delivery systems behind Amazon Ads reporting.
- Hire, develop, and retain strong engineers, and raise the technical bar through design reviews, code reviews, and mentorship.
- Improve cost efficiency through better architecture, not just tuning.
- Own operational excellence across multiple regions, including on-call, incident response, and data quality.
- Work with product management to turn product requirements into engineering plans that balance speed, quality, and cost.

About the team
The Programmatic Reporting team builds the data interfaces that power how advertisers and partners measure their Amazon Ads outcomes. We own Amazon Marketing Stream and the Reporting APIs, delivering accurate, consistent, and timely data to advertisers and partners worldwide. Our work sits at the intersection of data engineering and developer experience, and increasingly extends into GenAI-powered interfaces and data lake integrations.

We start from the customer and work backwards. We move fast, think in systems, and obsess over data quality. This role is a chance to take on hard engineering challenges and shape how advertisers and partners consume Amazon Ads data for years to come. The team is based in Toronto and partners with teams across multiple sites. Basic Qualifications: - 3+ years of engineering team management experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of working directly within engineering teams experience
- 8+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 171,400.00 - 286,200.00 CAD annually

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More about this job

Responsibilities

Lead an engineering team responsible for Amazon Ads programmatic reporting, focusing on the delivery of high-scale data via APIs and streams. Set the technical roadmap and ensure the freshness, accuracy, and cost-efficiency of distributed data systems.

Requirements

Requires over 8 years of experience in developing large-scale distributed software systems and at least 3 years of engineering management experience. Candidates must be proficient in system design, reliability, and scaling within a multi-tiered software environment.

Skills

Engineering Team Management
Distributed Systems
System Architecture
Data Pipelines
Apache Spark
Apache Iceberg
AWS
GenAI
Operational Excellence
Technical Roadmap Execution
Mentorship
Cost Modeling

Benefits

Health Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life Insurance
AD&D Insurance
Deferred Profit Sharing Plan (DPSP)
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Apache Spark
Apache Iceberg
AWS
GenAI
Distributed Systems
Data Engineering
Programmatic Reporting
Reporting APIs
Amazon Marketing Stream
Data Lake
System Design
Operational Excellence
Scalability
Data Pipelines
Query Engines
Code Reviews
Incident Response
Data Quality
Amazon Ads

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