A strategic and hands-on Senior Product Manager to shape the operational products behind a growing autonomous delivery robotics network.
Compensation
Annual compensation range of USD $165,000–$195,000, with the final amount depending on geographic location, experience, domain knowledge, and role level.
Equity participation offered as part of the compensation package.
Responsibilities
Own the Operations & Commercialization product roadmap, translating the needs of operators, field teams, merchants, customers, and commercial partners into clear priorities.
Define and monitor operational performance and delivery quality metrics, including successful and on-time deliveries, customer and merchant defects, reliability, supply hours, fleet utilization, and cost efficiency.
Establish performance baselines and targets, making results visible across markets, partners, and platforms where relevant.
Analyze operational data, customer feedback, partner input, and field observations to identify recurring failure modes, investigate root causes, and uncover product improvement opportunities.
Develop scalable workflows and product capabilities for robot supervision, deployment, and dispatch, reducing manual effort and improving fleet productivity.
Ensure the quality, reliability, and performance of innovative financial technology solutions through comprehensive testing strategies.
Compensation
Annual base salary ranging from CAD 60,000 to CAD 75,000, depending on skills, experience, and role level. Exceptional candidates may be considered above the stated range.
Responsibilities
Review and analyze business requirements, technical documentation, and functional specifications to develop appropriate test strategies and comprehensive test cases.
Perform manual and automated testing, including functional, regression, integration, and user acceptance testing, to validate application functionality and overall system performance.
Conduct API and integration testing to verify RESTful APIs, third-party services, data exchanges, and interactions between different system components.
Execute database and backend testing using SQL to verify data integrity, transaction accuracy, and expected system behavior.
Identify, document, prioritize, and track software defects, providing clear reproduction steps and supporting information to help development teams investigate and resolve issues.
As a Quality Assurance Analyst, you will play a key role in ensuring the quality, reliability, and performance of a financial technology platform supporting credit card and payment solutions.
Compensation
Competitive base salary of CAD 60,000–75,000, depending on skills, experience, and role level.
Responsibilities
Review business and technical requirements and functional specifications to develop and execute comprehensive test cases.
Perform manual and automated functional, regression, integration, and user acceptance testing.
Conduct API and integration testing to validate RESTful APIs, third-party services, data exchanges, and system interactions.
Carry out database and backend testing using SQL to verify data integrity, transaction accuracy, and expected system behavior.
Identify, document, and track defects, providing clear reproduction steps and supporting information for investigation and resolution.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
The Senior Revenue Operations Analyst will serve as a key analytical partner to Marketing, Sales, and Customer Support, turning complex business questions into actionable insights. This data-focused role combines advanced SQL, reporting, business analysis, and hands-on management of revenue technology systems.
Compensation
Annual salary range of CAD $92,000–$118,000.
Responsibilities
Design, build, and maintain reports and dashboards that deliver meaningful insights across Marketing, Sales, and Customer Support.
Analyze go-to-market (GTM) performance, identify trends, investigate changes in key metrics, and translate complex data into actionable recommendations for business leaders.
Develop and maintain SQL queries and spreadsheet models supporting commission tracking, pipeline analysis, forecasting, capacity planning, and CRM data reconciliation.
Extract, integrate, and connect data from the GTM technology stack, including Databricks, HubSpot, Zendesk, and Gong, to provide a reliable, unified view of business performance.
Work directly within relevant systems to configure, troubleshoot, and maintain data accuracy and consistency.
Requirements
Post-secondary education in Business, Analytics, or a related discipline
Nice to have: Zendesk
Nice to have: Gong
Nice to have: Databricks
Nice to have: Snowflake
Skills
Senior Software Engineer II - Platform & Enablement
As a Senior Software Engineer II, you will play a key role in designing, scaling, and evolving the core platform infrastructure that powers multiple product teams. You will join a highly collaborative engineering environment, building critical systems for approval workflows, permissions, authentication, and notifications. Beyond hands-on development, you will provide technical leadership, drive complex cross-functional initiatives, and establish engineering best practices.
Compensation
Competitive annual salary ranging from CAD 183,000 to CAD 251,500, depending on geographic compensation zone and qualifications.
Responsibilities
Own the design, development, and continuous improvement of shared platform systems, including approval workflow engines, customer and employee permissions, authentication, and notification services.
Design and evolve complex software architectures, prioritizing simplicity, scalability, maintainability, and backward compatibility.
Lead complex, multi-stakeholder engineering initiatives, coordinating contributions across teams and ensuring projects remain aligned with technical and business priorities.
Build strong relationships with business stakeholders and cross-functional partners to establish shared objectives and deliver effective technical solutions.
Identify at-risk projects, address delivery challenges, and take ownership of initiatives requiring additional technical direction or coordination.
The Senior Data Platform Engineer will play a key role in building and scaling the data infrastructure that powers a growing global financial technology platform. You will design, develop, and operate reliable systems supporting large-scale data storage, processing, streaming, and analytics.
Responsibilities
Design, develop, and operate core data platform infrastructure, including distributed query engines, lakehouse storage, orchestration systems, and streaming pipelines.
Build scalable and repeatable infrastructure for regional platform deployments using Kubernetes and infrastructure-as-code practices.
Develop real-time data processing, analytics, and alerting capabilities to support operational and product requirements.
Collaborate with AI and Data Science teams to establish platform foundations for agentic workflows, model evaluations, and machine learning lifecycle tooling.
Improve data cataloging, governance frameworks, and access controls to ensure data remains discoverable, secure, and properly managed.
Senior Data Engineer – Data Platform will play a key role in developing and operating a modern, scalable data platform within a Microsoft Azure environment, designing and optimizing data pipelines and data products using Databricks, Python, SQL, and Apache Spark.
Responsibilities
Further develop, maintain, and operate a modern data platform built on Databricks
Design, develop, optimize, and maintain scalable data pipelines and data products
Implement robust data models following Data Vault 2.0 principles
Develop and manage data transformations using dbt Core on Databricks
Establish and maintain data quality, testing, and validation processes to ensure data accuracy and consistency
Play a key role in demonstrating the measurable impact of digital advertising through advanced experimentation and data analytics, transforming complex, first-party data into actionable insights for leading consumer brands.
Locations (4)
Ontario, Canada
Alberta, Canada
British Columbia, Canada
Nova Scotia, Canada
Compensation
Annual base salary ranging from CA$118,000 to CA$124,500 for candidates based in Canada, depending on permanent work location, professional experience, and relevant skills.
Responsibilities
Design, develop, and deliver rigorous measurement studies, including A/B testing, holdout experiments, and incrementality analyses, to demonstrate the actual impact of advertising investments.
Seeking a technically skilled GTM Engineer to build and optimize the infrastructure powering commercial operations within a fast-growing AI and data infrastructure environment.
Compensation
Competitive compensation: Opportunity to join a high-growth AI and data infrastructure environment with compensation aligned with experience and expertise.
Responsibilities
Take end-to-end ownership of the go-to-market technology stack, including evaluating, selecting, configuring, integrating, and maintaining tools used by commercial teams.
Design and develop scalable sourcing systems, including web scrapers, data collection solutions, and enrichment pipelines to identify relevant data providers and commercial opportunities.
Build and maintain the data infrastructure supporting commercial operations by integrating CRM, marketplace, and product data into reliable, centralized sources of information for pipeline tracking, listings, and revenue reporting.
Develop internal applications and tools that improve provider research, listing quality assurance, sales pipeline management, and revenue forecasting.
Automate repetitive commercial workflows across lead generation, sourcing, qualification, lead routing, and reporting to improve operational efficiency.
The Senior Analyst, Finance Systems will play a hands-on role in a broad finance technology transformation program, contributing to ERP enhancements, data warehouse development, reporting platform migrations, and the introduction of new finance systems.
Locations (2)
United States, United States
Toronto, Ontario, Canada
Compensation
Expected annual base salary of CAD $100,000–$115,000, plus eligibility to participate in an annual incentive program.
Responsibilities
Execute configuration, testing, and go-live activities for ERP enhancements, workflow automations, and reporting integrations across finance and capital asset modules.
Support the implementation of new finance platforms, including financial close management and treasury management systems.
Design, build, and execute detailed UAT scripts and regression test suites across ERP, financial close, treasury, data warehouse, and reporting platforms.
Support data warehouse implementation through data migration validation, schema testing, transformation logic verification, and source-to-report data lineage checks.