
Job Overview
Location
United States
Job Type
Full-time
Category
Product Management
Date Posted
July 10, 2026
Full Job Description
đź“‹ Description
- • 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.
- • The ideal candidate will have a deep understanding of cloud computing (GCP), infrastructure as code (Terraform), container orchestration (Kubernetes/GKE), and Site Reliability Engineering principles.
- • You will work with Data Engineers to prioritize performance tuning, such as partitioning and clustering BigQuery tables or optimizing ETL/ELT pipelines, to ensure business users get their data faster.
- • You will ensure the data architecture is structured to support advanced analytics and Machine Learning models, and prepare clean, accessible datasets for Data Scientists.
- • You will 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.
- • You will have extensive experience with Data Warehousing, Data Lakes, Business Intelligence (BI), and AI/Machine Learning product deployment.
- • You will have proven ability to manage large cloud budgets, analyze cost/pricing structures, and optimize infrastructure spend within the Google Cloud ecosystem.
- • You will have demonstrated experience directly managing technical personnel (engineers, SREs) and leading cross-functional teams without direct authority.
- • You will have exceptional ability to translate complex technical infrastructure and data concepts into clear business value for executive stakeholders.
🎯 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.
🏖️ 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Sardine Inc.
Sardine Inc. provides real-time fraud prevention and compliance infrastructure for fintechs, crypto platforms, and digital banks. Its API-based platform combines device fingerprinting, behavioral biometrics, transaction monitoring, and sanctions screening to detect and block fraud before funds move. The company serves payment processors, neobanks, and crypto exchanges, helping them reduce chargebacks, meet regulatory requirements, and onboard users faster while minimizing risk.
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