Sardine

2 weeks ago

Product Manager - SRE and Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Own the lifecycle of internal PaaS and Data-as-a-Service SaaS products, partnering with highly technical engineering teams to deliver enterprise-grade availability and scalable platforms. Define and enforce error budgets, drive production scaling, and manage large GCP budgets through FinOps. Lead data architecture and AI enablement, improving BigQuery/table and ETL/ELT performance while partnering on governance, security, and compliance.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Manager level

Key Responsibilities

•Define, monitor, and enforce error budgets to ensure 99.99% product availability.
•Create and execute production scaling strategies and lead cloud infrastructure maintenance (e.g., GKE cluster consolidation).
•Own GCP cloud computing budgets, analyzing pricing structures and improving processes to reduce operational costs.
•Optimize data tables and pipelines with performance tuning (partitioning/clustering in BigQuery, ETL/ELT improvements) to accelerate delivery.
•Ensure data architecture supports AI/ML by preparing clean datasets and partnering on governance, security, and privacy compliance (GDPR/CCPA).

Pay and Benefits

Salary: USD 200,000 - 220,000 annually

Perks:Health InsuranceDentalVision401kRemote WorkPaid LeaveHome OfficeMeal StipendLearning Budget

Key Requirements

•Deep understanding of GCP, infrastructure as code (Terraform), Kubernetes/GKE, and Site Reliability Engineering principles.
•Extensive experience with data warehousing, data lakes, business intelligence, and AI/machine learning product deployment.
•Proven ability to manage large cloud budgets and optimize infrastructure spend within the Google Cloud ecosystem.
•Demonstrated experience managing technical personnel (engineers, SREs) and leading cross-functional teams without direct authority.
•Ability to translate complex infrastructure and data concepts into clear business value for executive stakeholders.

Experience:Data warehousingData lakesBusiness intelligenceAI/ML

Skills:Cross-functional leadershipTechnical product leadershipStakeholder communication

Tech Stack:GCPTerraformKubernetesGKEBigQueryETLELTAWSCloud IAMMachine LearningAI automation

Company Brief

Sardine

Provides fraud prevention and account security solutions using machine learning to detect and block account takeover, payment fraud, and malicious actors for digital platforms and marketplaces.

Industry: Cybersecurity

Website

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Sardine

2 weeks ago

Product Manager - SRE and Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Manager level

Key Responsibilities

•Define, monitor, and enforce error budgets to ensure 99.99% product availability.
•Create and execute production scaling strategies and lead cloud infrastructure maintenance (e.g., GKE cluster consolidation).
•Own GCP cloud computing budgets, analyzing pricing structures and improving processes to reduce operational costs.
•Optimize data tables and pipelines with performance tuning (partitioning/clustering in BigQuery, ETL/ELT improvements) to accelerate delivery.
•Ensure data architecture supports AI/ML by preparing clean datasets and partnering on governance, security, and privacy compliance (GDPR/CCPA).

Pay and Benefits

Salary: USD 200,000 - 220,000 annually

Perks:Health InsuranceDentalVision401kRemote WorkPaid LeaveHome OfficeMeal StipendLearning Budget

Key Requirements

•Deep understanding of GCP, infrastructure as code (Terraform), Kubernetes/GKE, and Site Reliability Engineering principles.
•Extensive experience with data warehousing, data lakes, business intelligence, and AI/machine learning product deployment.
•Proven ability to manage large cloud budgets and optimize infrastructure spend within the Google Cloud ecosystem.
•Demonstrated experience managing technical personnel (engineers, SREs) and leading cross-functional teams without direct authority.
•Ability to translate complex infrastructure and data concepts into clear business value for executive stakeholders.

Experience:Data warehousingData lakesBusiness intelligenceAI/ML

Skills:Cross-functional leadershipTechnical product leadershipStakeholder communication

Tech Stack:GCPTerraformKubernetesGKEBigQueryETLELTAWSCloud IAMMachine LearningAI automation

Company Brief

Sardine

Provides fraud prevention and account security solutions using machine learning to detect and block account takeover, payment fraud, and malicious actors for digital platforms and marketplaces.

Industry: Cybersecurity

Website