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
Hiring Ranges:
Remote Germany
€62.100—€82.800 EUR
Hiring Ranges:
Remote UK
£58,500—£78,000 GBP
Mozilla Toronto, Ontario, CAN Office
366 Adelaide St W. Suite 500, Toronto, Canada, M5V 1R7
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.
Top Skills:
ArgocdAWSAzureBashCiliumCrossplaneDnsExternal Secrets OperatorGCPGithub ActionsGitlab CiGitopsGoGrafanaHelmIngressIstioKubernetesKyvernoLinkerdLoad BalancingLokiOpa/GatekeeperOpentelemetryPrometheusPythonSealed SecretsService MeshTektonTerraformVault
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and operate end-to-end full-stack features for Loom billing, subscriptions, integrations, and platform migrations. Develop responsive React interfaces, scalable backend APIs and microservices, payment and identity integrations, and reliable cloud-based systems. Responsibilities include observability, monitoring, testing, code reviews, documentation, security, performance optimization, and participation in Agile ceremonies and technical design reviews.
Top Skills:
AWSBitbucketCi/CdConfluenceCypressDockerGitJavaJavaScriptJestJIRAMicroservicesMochaMySQLNode.jsPostgresPythonReactRest ApisTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own and grow the Toronto sales territory through extensive in-person outreach, business visits, live demos, partnerships, referrals, and full-cycle deal closing. Build pipeline, sell Square’s software and hardware to restaurants, retailers, and service businesses, maintain Salesforce activity and forecasts, support onboarding, and consistently exceed quota. The role requires field sales experience, reliable transportation, and residence in the assigned market.
Top Skills:
Payment Processing TechnologySalesforce
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.
