Product Manager – SRE, Data Engineer

Sardine

Product Manager in charge of SRE & Data Engineering for fighting financial crime at Sardine. Overseeing engineering teams and managing cloud budgets to ensure system availability.

Posted 7/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud computing, particularly within the Google Cloud Platform, and possesses strong capabilities in managing cloud budgets and optimizing infrastructure costs. Proficient in translating technical concepts into business value while ensuring compliance with privacy regulations.

Highest-signal resume keywords

Cloud Computing (GCP)Infrastructure As Code (Terraform)Container Orchestration (Kubernetes/GKE)Data WarehousingSite Reliability Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Error BudgetsProduction System ScalingPerformance TuningData ArchitectureMachine Learning ModelsCost AnalysisETL/ELT OptimizationData LakesBusiness Intelligence (BI)Cloud IAM

Soft Skills

Cross-Functional Team LeadershipStakeholder CommunicationTechnical Personnel Management

Tools & Technologies

Google Kubernetes Engine (GKE)BigQueryAWSGCP

Industry Keywords

GDPRCCPACloud Budget ManagementOperational MaintenanceAdvanced Analytics

Tech Stack

Tools & technologies

AWSBigQueryCloudETLGoogle Cloud PlatformKubernetesTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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