Analyze Gecko engine telemetry across desktop and Android to identify data-quality issues, including bot contamination and hardware noise. Build automated dashboards, audit telemetry collection gaps, develop data-sanitization methods, and produce statistical analyses connecting technical performance metrics with user behavior and engagement. Translate complex engineering data into actionable product and budget recommendations for leadership while working independently across Performance, Data, and Product teams.
The Gecko platform is the core engine of our product experience. To maintain competitiveness and user satisfaction, we must move beyond surface-level metrics to understand the deep correlations between engine performance and real-world user behavior. We currently face challenges with data quality, such as bot contamination in nightly telemetry, which obscures our understanding of true performance trends. A dedicated analyst is required to bridge the gap between engineering telemetry and actionable product strategy, ensuring that leadership has high-fidelity data to prioritize performance guardrails and technical budgets.
Engineering Deliverables- Automated Dashboards: Create and maintain high-level overview dashboards that translate complex performance data into consumable formats for Product Managers and leadership.
- Telemetry Gap Analysis: Audit the Gecko codebase to identify missing collection points or "probes" necessary for a complete understanding of the product experience.
- Data Sanitization Frameworks: Develop methodologies and tools to identify and filter data inconsistencies, specifically focusing on isolating bot traffic and hardware-specific noise from telemetry streams.
- Behavioral Inference Reports: Deliver deep-dive analyses correlating technical performance shifts (e.g., LCP, eTLD+1) with user-facing pain points and engagement trends.
The analyst will focus exclusively on Gecko engine telemetry across multiple platforms (Desktop and Android), collaborating with the Performance Team, Data Team, and Product Leadership.
Required Skills- Technical: Advanced SQL (BigQuery/Redash), proficiency in data visualization using AI tooling, and experience with statistical analysis (e.g., Pearson’s correlation, multivariate analysis). Knowledge of Rust/C++ is a strong plus. Strong proficiency with AI tools like Claude Code, Codex, or similar is highly desirable.
- Domain Knowledge: Ability to understand browser component interactions and their impact on user experience.
- Soft Skills: Proven ability to work independently, translating technical requirements into business insights.
- Independent problem solving: Comfortable working in unfamiliar technical problem spaces and figuring out a path forward with minimal guidance, using documentation, experimentation, source code, data, and other available resources.
Hiring Ranges:
Canada Tier 1 Locations
$93,450—$124,600 CAD
Canada Tier 2 Locations
$84,600—$112,800 CAD
Mozilla Toronto, Ontario, CAN Office
366 Adelaide St W. Suite 500, Toronto, Canada, M5V 1R7
Similar Jobs
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads product operations by enabling AI workflows, owning product tooling and infrastructure, governing integrations and access, managing vendors, standardizing product lifecycle processes, and building measurement systems. The role also stewards the product operating system, drives adoption and change management, facilitates cross-functional feedback mechanisms, and establishes metrics for operational effectiveness.
Top Skills:
Ai AgentsAi AutomationsAi ConnectorsAi ToolsDashboardsJira Product DiscoveryPendoSalesforceSession ReplaySystem Integrations
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Leads and grows software engineering teams, including hiring, coaching, performance management, and career development. Defines technical strategy and roadmaps for backend, frontend, mobile, API, and AI-powered products. Oversees architecture, design reviews, cross-functional delivery, and production systems at scale while translating ambiguous customer problems into measurable outcomes. Partners with product, design, and customer teams and raises engineering quality, velocity, and organizational standards.
Top Skills:
Agentic WorkflowsAPIsArtificial IntelligenceBackend ServicesData IngestionFrontend DevelopmentGoIotJavaScriptLlmsMachine LearningMobile DevelopmentPythonReactRecommendation SystemsTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead global tax information reporting and withholding across Block’s businesses, including 1099, 1042-S, FATCA, CRS, DAC7, digital asset reporting, and related filings. Oversee compliance strategy, controls, notices, examinations, penalty defense, product requirements, automation, platforms, providers, and a specialized team. Partner with Product, Engineering, Data, Tax Technology, Legal, Compliance, and Internal Audit to improve reporting accuracy, controls, timeliness, and customer experience.
Top Skills:
AIAutomationData AnalyticsProduct EngineeringSoxTax Technology
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
