Product Manager - SRE and Data Engineer

Sardine is seeking a Product Manager for SRE & Data Engineering to lead technical product initiatives, manage cloud budgets, and ensure system reliability in a remote-first environment.

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.

• •We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere
• •We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
• •We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

• •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.

• •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

• •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.