Product Manager - SRE and Data Engineer

Key Responsibilities

• System Reliability: Define, monitor, and enforce error budgets to ensure 99.99% product availability.
• Scaling: Create and execute production system scaling strategies and lead cloud infrastructure operational maintenance (e.g., Google Kubernetes Engine (GKE) cluster consolidation).
• Cloud FinOps: Own the GCP cloud computing budget. Analyze pricing structures and identify process flows to improve productivity and reduce operational costs (e.g., achieving 25% cost reductions).

Required Skills & Qualifications

• Deep understanding of cloud computing (GCP), infrastructure as code (Terraform), container orchestration (Kubernetes/GKE), and Site Reliability Engineering principles.
• Extensive experience with Data Warehousing, Data Lakes, Business Intelligence (BI), and AI/Machine Learning product deployment.
• Proven ability to manage large cloud budgets, analyze cost/pricing structures, and optimize infrastructure spend within the Google Cloud ecosystem.
• Demonstrated experience directly managing technical personnel (engineers, SREs) and leading cross-functional teams without direct authority.
• Exceptional ability to translate complex technical infrastructure and data concepts into clear business value for executive stakeholders.

Benefits

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off and Year-end break
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• 4% matching in 401k / RRSP - US and Canada specific
• MacBook Pro delivered to your door
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual Learning stipend