Jobs in Canada

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Added 11 hours ago
AL
FinOps AI / ML Engineer Manager
Accenture LLP Company
Canada
- Full-time
- Hybrid
(If Associate’s Degree, must have minimum 6 years work experience)
Added 11 hours ago
Solutions Architect
Nebius
Canada
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of…
Added 11 hours ago
N
Tech Lead Manager, AI/ML
Numerator
Toronto, ON
- Full-time
Solid Python and software engineering fundamentals - clean, testable code, REST API design, debugging, and familiarity with CI/CD
Added 11 hours ago
AI Infrastructure Engineer
Capgemini
Toronto, ON
Hands-on experience with Kubernetes (EKS), Docker, Python, PyTorch, and cloud-native architecture.
Added 11 hours ago
Analytics Engineer
Wirelessdna
Toronto, ON
Develop and publish Power BI dashboards with DirectLake or import-mode datasets, using DAX for calculated measures and KPIs.
Added 11 hours ago
RC
Data Scientist I
Randstad Canada
Toronto, ON
- $41.13 to $48.29 CAD / hour
- Contract
In this strategic, hands-on role, you will partner directly with Canadian business units to accelerate the adoption and execution of advanced analytics, machine learning, and Generative AI…
Added 11 hours ago
RC
Data Scientist III
Randstad Canada
Toronto, ON
- $63.02 to $69.88 CAD / hour
- Contract
In this strategic, hands-on role, you will partner directly with business units across Canada to accelerate the adoption and execution of advanced analytics, machine learning, and…
Added 11 hours ago
Applied AI Research Scientist
Industry Professionals
Montréal, QC
Proficient in Python and C++ with practical experience using ML/DL frameworks such as PyTorch, TensorFlow, Scikit-learn, and OpenCV.
Added 11 hours ago
LE
Principal Product Applications Engineer
Leading Edge
Ottawa, ON
- Full-time
…technical expert for Scorpio Smart Fabric Switches, working with hyperscalers, AI system builders, ODMs, and technology partners from initial architecture and evaluation through production…
Added 12 hours ago
FH
Data scientist
Fraser Health Authority
Surrey, BC
- $55.25 to $79.42 CAD / hour
…(CAADSI) team at the Central City office located in Surrey, B.C. with flexible work…
Added 12 hours ago
SC
RQ11252 - Sr. AI Engineer
Source Code
Toronto, ON
- $72.14 to $108.22 CAD / hour
- Full-time
Experience integrating Amazon Bedrock services with Amazon Connect solutions.
Added 12 hours ago
SC
RQ11312 - Automation Developer - Senior
Source Code
Toronto, ON
- $56.38 to $84.58 CAD / hour
- Full-time
Works with QA analysts and software developers to find solutions
Added 12 hours ago
SC
RQ00745-Data Science Developer
Source Code
Toronto, ON
- $54.84 to $82.26 CAD / hour
- Full-time
Deep experience with modern technology stacks: Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse. Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.
Added 12 hours ago
SC
RQ11442 - Software Developer - API - Senior
Source Code
Toronto, ON
- $69.52 to $104.28 CAD / hour
- Full-time
5+ Experience with React framework and typescript
Added 12 hours ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Partner with client business leaders to evaluate legacy technology estates (e.g., monolithic SQL databases, or unmaintained ETL jobs). Lead engineering efforts to refactor legacy data…
Added 12 hours ago
UR
Staff, Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…transparent, weekends are yours, and we don't confuse long hours with good…
Added 12 hours ago
UR
Mechanical Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
…dedicated technical problem-solver and trusted advisor, embedding with enterprise customers to optimize how they use CoLab - especially our AI…
Added 12 hours ago
TT
Oracle AI Architect
Tech Talent International
Toronto, ON
- $82 to $83 CAD / hour
Location: Hybrid, 2-3 days in office, Brampton, ON, Canada
Added 12 hours ago
CI
Senior Full Stack Engineer
Chubb Insurance Company of Canada
Toronto, ON
- Full-time
Execute quality gates on all Python contributions: ruff linting, mypy static type checking, pytest with a minimum 80% coverage threshold, and bandit security scanning
Added 12 hours ago
Senior Machine Learning Engineer
Staffmax
Toronto, ON
The ideal candidate will have strong experience with Python, SQL, Azure ML, Databricks, MLflow, MLOps, CI/CD, and model deployment.
Added 12 hours ago
Senior Data Scientist
EXL Talent Acquisition Team
Canada
…model development and technical design, while also coordinate with offshore team to ensure delivery…
Added 12 hours ago
A
Software Engineer, Robotics Systems
Autonomique
Montréal, QC
- Full-time
- Hybrid
Expert-level programming in C, C++, or Rust, with strong Python skills.
Added 12 hours ago
CG
Engineering Manager - Agentic Insights
Cover Genius
Vancouver, BC
- $150,000 to $190,000 CAD / year
- Full-time
- Hybrid
Practical experience with Data Platforms at warehouse scale with dbt and an orchestrator such as Airflow; expert SQL and strong Python.
Added 12 hours ago
PA
Artificial Intelligence Scientist
Precision AI
Calgary, AB
- Full-time
- Hybrid
Strong programming skills in Python with solid knowledge of data structures, algorithms, and software engineering best practices.
Added 12 hours ago
R
AI Quality Engineer
Rootly
Toronto, ON
- Full-time
- Hybrid
…adversarial prompts, interpreting outputs, and working directly with engineering and product to close the loop on…

Cover Genius

Engineering Manager - Agentic Insights

Vancouver, BC, Canada

Hybrid

$150,000 to $190,000 CAD / year · Full-time

Apply on careers.kula.ai About employer

Applications open in a new tab.

Job details

Pay: $150,000 to $190,000 CAD / year
Job type: Full-time
Workplace: Hybrid
Experience: 8+ years of experience in software or data engineering and 2+ years leading or managing engineering teams in a fast-paced, high-growth environment.
Posting language: English
Posted: Sep 4, 2026

Original job description

The Company

Cover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, Booking.com, Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales.

Coming off a stellar year with 40% YoY revenue growth and a recent $100M capital raise, putting our valuation at $1.9BN, we are accelerating into our next phase of growth. As part of our team, you’ll help drive our AI-first roadmap, developing hyper-personalization engines, agentic distribution, and automated claims infrastructure, while building the scalable technology powering the fast-growing $70B embedded protection market.

Our people are: Accountable, customer-obsessed, collaborative, driven

Our people are not: Passive, defensive, siloed, hesitant

About the Role:

As the Engineering Manager, Agentic Insights, you will lead the team that turns Cover Genius's cross-portfolio data into products our partners can act on. You will own two existing products - Claims Benefit Intelligence and the Sales Dashboard - and the technical roadmap beyond them that includes agentic AI features for analysts, an expanding portfolio of data products, and more.

You will have taken LLM-powered products from prototype into production, built analytics products for non-technical external users, and worked at warehouse scale. Regular collaboration with a dedicated Product Manager partner and Product, Data Platform, Data Science, Insurance Operations, the AI team and partner-facing commercial teams will be key in creating insights partners act on.

Key Responsibilities:

Lead and grow a team of engineers building partner-facing data products, fostering technical excellence, ownership and psychological safety in line with Cover Genius values.
Own the technical roadmap for existing data products such as Claims Benefit Intelligence and the Sales Dashboard, and for future products - including onboarding both products into the team.
Own BrightWrite Metrics service, the metrics delivery surface queried by partners and dashboards, ensuring metric consistency, alignment with audited internal definitions, and a robust governance framework.
Establish engineering and operational excellence for partner-facing services: reliability and latency SLOs, observability, CI/CD, IaC, testing and data quality.
You are accountable, alongside Product, for partner engagement and the value of insights delivered - not just shipping.

What you will bring:

8+ years of experience in software or data engineering and 2+ years leading or managing engineering teams in a fast-paced, high-growth environment.
Track record of building data or analytics products for external, non-technical users.
Hands-on depth in agentic systems with experience taking an agent from prototype to a production system that has defined evaluation and guardrails
Practical experience with Data Platforms at warehouse scale with dbt and an orchestrator such as Airflow; expert SQL and strong Python.
Our estate spans Python/Django and BigQuery on the data and ML side, and Node.js/TypeScript on the Partner Portal side, on Kubernetes across AWS and GCP, with Terraform and Datadog - you will be comfortable leading a team that works across diverse tech stacks.
Demonstrated experience adopting AI-assisted development practices within a team - evaluating tools, setting standards for their use, and measuring productivity and quality impact.

What you will have:

Exceptional leadership and communication skills. You know how to inspire, motivate and develop a team of technical experts.
Genuine product instinct. You think in terms of the decisions partners make with our data, not the features we ship - and you measure success by insights acted on, not dashboards delivered.
Judgement to know when AI earns its place and when a well-defined metric or clear chart is the better answer. You prefer pragmatic engineering over trend-driven solutions.
Integrity to hold a privacy or data-quality line under commercial pressure.
Strategic mindset - you align data initiatives with business goals and manage stakeholder expectations across engineering, product and commercial functions.
Strong problem-solving ability and a deep sense of ownership, from technical architecture through to team performance and product outcomes.
Self-motivated and reliable, able to drive projects to completion in a fast-paced environment.

🤔 Why Cover Genius?

At Cover Genius, we create magic by turning the archaic into the extraordinary. We take one of the world’s oldest and most complex industries and reinvent it with world-class technology. Cover Genius doesn’t just disrupt legacy insurance; we make the impossible feel effortless. Our operating principles guide our mission:

Make today matter: We deliver with urgency and excellence. We act decisively, move with intention, and hold a high bar.
Act with accountability: We own our commitments and take pride in delivering results that move us forward.
Grow together: We are a collective of curious minds. We learn from wins and setbacks, share knowledge generously, and elevate each other every day.
Inspire Each Other: We push each other to think bigger and pull together to go further.
Champion Our Customers: We lead with empathy and center the customer, turning complex disruptions into seamless moments of trust.
Flexible Work Environment - Our teams are hybrid. We work from home on a Wednesday and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.
Don't just take our word for it - hear about our culture straight from our people here: story time.

Ready to make an impact? If you’re looking for a place where you’ll be challenged, trusted, and empowered, we’d love to meet you.

The Legal & Privacy Stuff

Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

By submitting your application, you acknowledge that we may collect, store, and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy.

*This position offers a base salary compensation range of C$150,000 to C$190,000 annually.

Apply on careers.kula.ai About employer

More about this job

Responsibilities

The Engineering Manager at Cover Genius will lead and grow a team of engineers building data products for partners. They will own the technical roadmap for existing and future products and keep partner-facing services reliable and high quality.

Requirements

Candidates need 8+ years in software or data engineering, including 2+ years leading engineering teams. They need experience building analytics products for non-technical users, taking LLM agents to production, and working with warehouse-scale data using dbt, Airflow, SQL and Python.

Skills

Agentic systems
LLM-powered products
Evaluation and guardrails
dbt
Apache Airflow
BigQuery
Expert SQL
Python
Django
Node.js
TypeScript
Kubernetes
AWS
GCP
Terraform
Datadog
CI/CD
Infrastructure as code
Data quality
Observability
SLOs
Metrics governance
Engineering leadership
Team management
Product thinking

Keywords

Engineering Manager
agentic AI
LLM
AI agents
dbt
Airflow
BigQuery
SQL
Python
Django
Node.js
TypeScript
Kubernetes
AWS
GCP
Terraform
Datadog
data products
analytics
embedded insurance

Seniority

Lead

Tools

dbt
Airflow
BigQuery
Django
Node.js
TypeScript
Kubernetes
Terraform
Datadog
AWS

Languages

English

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Work requirements

Jobs in Canada