Product Manager - SRE and Data Engineer

Sardine•,

1d•$200,000 - $220,000•Remote

About The Position

The Product Manager for SRE & Data Engineering is a strong technical product leader responsible for driving the lifecycle of internal Platform-as-a-Service (PaaS) and Data-as-a-Service (SaaS) products. You will oversee highly technical engineering teams, manage huge cloud budgets, ensure enterprise-grade system availability, and lead cross-departmental initiatives encompassing data platforms, AI automation, and security compliance.

Requirements

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.

Responsibilities

Define, monitor, and enforce error budgets to ensure 99.99% product availability.
Create and execute production system scaling strategies and lead cloud infrastructure operational maintenance (e.g., Google Kubernetes Engine (GKE) cluster consolidation).
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).
Work with Data Engineers to prioritize performance tuning- such as partitioning and clustering BigQuery tables or optimizing ETL/ELT pipelines—so business users get their data faster.
Ensure the data architecture is structured to support advanced analytics and Machine Learning models, and prepare clean, accessible datasets for Data Scientists.
Partner with Legal and Security teams to ensure the AWS/GCP environment complies with privacy regulations (GDPR, CCPA) using Cloud IAM (Identity and Access Management) and strict data access policies.

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