Job Opportunities API

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. Our culture: - 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. 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. Benefits we offer: - 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 y