Lead the design, governance, and evolution of the organization’s enterprise data environment, ensuring secure, compliant, and high-quality data for decision-making and AI readiness.
Compensation
The salary range is $100,000.00 to $120,000.00
Responsibilities
Lead the organization’s Data Governance framework
Ensure secure and compliant management of sensitive information
Develop and maintain data governance processes
Design, develop, and maintain the enterprise data platform
Establish and maintain data models and integration patterns
Requirements
Bachelor’s degree in data engineering, information systems, health informatics, or related field
Support strategic initiatives and collaborate with portfolio managers, traders and cross‑functional teams to improve investment workflows and technology platforms.
Compensation
$48,800.00 CAD - $56,600.00 CAD
Responsibilities
Support strategic initiatives including Project NEXUS and the Derivatives & Collateral Platform Assessment
Work with portfolio managers, traders and cross‑functional teams to understand business needs and identify opportunities for improvement
Document and analyze investment workflows, business capabilities and platform functions
Research market practices, technology, data and AI use cases relevant to investment management
Prepare analysis and presentations for senior business and technology stakeholders
Requirements
Currently pursuing a degree in Finance, Quantitative Finance, Financial Risk Management, Analytics, or a related field
Support strategic initiatives and collaborate with portfolio managers, traders and cross‑functional teams to improve investment workflows and technology platforms.
Compensation
$48,800.00 CAD - $56,600.00 CAD
Responsibilities
Support strategic initiatives including Project NEXUS and the Derivatives & Collateral Platform Assessment
Work with portfolio managers, traders and cross‑functional teams to understand business needs and identify opportunities for improvement
Document and analyze investment workflows, business capabilities and platform functions
Research market practices, technology, data and AI use cases relevant to investment management
Prepare analysis and presentations for senior business and technology stakeholders
Requirements
Currently pursuing a degree in Finance, Quantitative Finance, Financial Risk Management, Analytics, or a related field
Senior data scientist responsible for advanced analytics, machine learning, and data-driven decision support within the Treasury Board & Finance ministry.
Compensation
$3,148.20 to $4,126.82 bi-weekly ($82,168 - $107,710/year)
Responsibilities
Analyze large, complex structured and unstructured datasets to identify trends, patterns, and actionable insights
Perform exploratory data analysis (EDA) and feature engineering to support modeling efforts
Design and implement data cleaning, transformation and processing logic for analytical and ML use cases
Develop, validate, and maintain statistical, machine learning and neural network models to solve business problems
Develop NLP solutions such as text classification, information extraction, summarization, and document similarity
Requirements
University degree in a relevant discipline – such as Advanced Analytics, Data Science, Artificial Intelligence, Computer Science, or Statistics
Nice to have: Deep learning frameworks
Nice to have: Formal certification from AWS or Azure
Nice to have: Experience with Spark or Databricks for large-scale data processing
Nice to have: Exposure to deploying or supporting ML workloads in AWS and/or Azure
Drive applied AI initiatives by accelerating the core of R&D efforts, enhancing performance of quantum hardware and simulation software using GPU programming and computational physics.
Compensation
The base salary range is 140,000 - 190,000 CAD.
Responsibilities
Develop and implement GPU-accelerated numerical methods
Optimize execution of internal simulation software on HPC platforms
Design and build high-performance simulators for complex physical systems
Develop and rigorously test new computational methods, ML algorithms, and toolkits
Collaborate closely with hardware engineers and scientists
Requirements
BSc. in Physics, Math, Computer Science, Engineering, or a related field
Nice to have: MSc/PhD in Computer Science, Engineering, Physics, Math
Nice to have: Excellent knowledge in physics and linear algebra
Own and lead strategic analytics and marketing measurement workflows, partner with media and client teams, design and execute lift tests, build insights reporting, and shape Thrive’s measurement service.
Compensation
$109,000 - $147,000 CAD + Profit Sharing (after 1 year of employment) + Benefits
Responsibilities
Own marketing measurement outcomes through strategic and technical lenses, from scoping client objectives to executing analysis and presenting insights
Lead client lift tests from design through execution to final presentation
Provide measurement consultation and deliver technical insights to internal media teams and client marketing teams
Support clients and media teams with broader data and measurement capabilities, including reporting, customer or event-level analysis, and media mix modelling
Shape the evolution of Thrive’s strategic marketing measurement service
Maintain the health and reliability of infrastructure for AI compute systems, monitoring systems, investigating alerts, coordinating incident resolution, and improving operational processes.
Locations (3)
Austin, Texas, United States
Santa Clara, California, United States
Vancouver, British Columbia, Canada
Compensation
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets.
Responsibilities
Monitor availability, performance, and capacity of infrastructure across servers, compute clusters, and supporting systems
Triage incidents by assessing severity and impact, gathering diagnostic information, escalating issues, and tracking resolution
Develop, maintain, and execute operational runbooks for troubleshooting, incident response, system recovery, and routine maintenance
Lead and grow a team of engineers to build AI‑powered products for physical operations.
Locations (2)
United States
Canada
Compensation
$155,000—$260,000 USD
Responsibilities
Lead and grow a team of engineers: hire top talent, coach and develop individuals, manage performance, and build a culture of ownership, quality, and velocity.
Take ownership of technically complex, mission‑critical areas and run with them.
Define and drive technical strategy and roadmap for new products and platform capabilities, from backend services and APIs to the customer‑facing UI.
Guide your team to design and ship full‑stack features end to end, delivering AI‑powered products that solve real operational problems across backend, frontend, and potentially mobile.
Partner with product, design, and customer‑facing teams to translate ambiguous, real‑world problems into clear technical plans, staffing, and measurable outcomes.
Improve monitoring, dashboards, and alerting to increase infrastructure visibility and reduce alert noise
Analyze recurring incidents and operational gaps, collaborating with infrastructure and engineering teams to identify root causes and improve recovery procedures
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