Product Manager - SRE and Data Engineer

ROLE OVERVIEW

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.

KEY RESPONSIBILITIES

- Infrastructure & SRE Operations

- 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)

- Data Architecture & AI Initiatives

- Table & Pipeline Optimization: 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.

- Enabling AI/ML: Ensure the data architecture is structured to support advanced analytics and Machine Learning models, and prepare clean, accessible datasets for Data Scientists.

- Data Governance & Security: 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.

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.