Sardine
AI risk platform for fraud and compliance
Sardine builds an AI-powered platform using device intelligence, behavior biometrics, and machine learning to detect fraud, prevent scams, and ensure AML compliance in real-time. It serves banks, fintechs, retailers, and enterprises across onboarding, payments, and transactions. This consolidates risk tools, reduces false positives, and stops financial crime proactively.
Forward Deployed AI Engineer
Forward Deployed AI Engineer embedding with clients to architect, train, and deploy custom AI agents for fraud prevention and compliance workflows. Requires 5+ years in data science/applied AI, Python/SQL proficiency, and end-to-end solution ownership.
Senior Solutions Engineer, Federal
Lead federal agency prospects through the sales process as a trusted technical advisor, delivering tailored demos, responding to RFPs, navigating security reviews, and creating solution designs aligned to federal compliance frameworks.
Lead - POC Data Science
Lead a PoC data science team delivering fraud-prevention ML models and client-facing proof-of-concept projects for enterprise financial institutions. Player-coach role combining people leadership, hands-on modeling, and direct client engagement.
Deputy Chief Information Security Officer
The Deputy Chief Information Security Officer will partner with the CISO to scale the security program, operating across application security, GRC, security operations, and cloud security. This senior leader will identify high-risk areas, support compliance initiatives, and represent the security program to internal and external stakeholders.
Staff Backend Engineer
Leads development of backend systems for compliance platform including KYC, sanctions screening, transaction monitoring, and regulatory reporting. Requires 7+ years backend experience, ideally in Golang, with high-throughput data processing and integrations in regulated environments.
Staff Engineer - Fraud Prevention
Leads technical strategy and architecture for fraud prevention platform, optimizing ultra-low-latency backend services, rules engines, and data pipelines across multi-cloud databases. Mentors engineers and drives high standards; requires 7+ years experience in distributed systems and stream processing.
Engineering Manager - Banking
Engineering Manager leading banking services team, owning vision, roadmaps, technical architecture for bank data ingestion/processing. Requires 7+ years software engineering, 3+ years management, banking domain experience, and hands-on remote leadership.
FP&A Analyst
FP&A Analyst partners with business leaders across GTM, Engineering, and G&A to own budget vs. actuals, headcount planning, financial modeling, forecasting, and risk identification using AI tools. Requires 2+ years FP&A experience and strong modeling skills.
Technical Professional Services Lead
Leads professional services function building partner networks and managing custom project delivery for fintech clients. Requires 10+ years in professional services, deep fintech/fraud expertise, and technical fluency in frontend, backend, SQL.
Senior Strategic Account Manager
Manage key strategic accounts for a fraud prevention SaaS platform, acting as primary customer contact and solution architect. Requires 10+ years in account management or customer success, 5+ years in fintech/compliance, and strong analytical skills.
DevOps Engineer
DevOps Engineer evolves infrastructure, CI/CD pipelines, observability, and FinOps practices on GCP/Kubernetes. Requires 6+ years experience, Python/Go proficiency, and expertise in secure, scalable systems for a remote-first fraud prevention platform.
Integration Manager
Leads end-to-end client onboarding and integrations for fraud and compliance products, translating technical requirements into scalable solutions. Requires 7+ years in implementation roles, B2B SaaS experience in fraud/risk, and strong skills in SQL, APIs, and scripting.
Data Scientist - Fraud Post Sales
Data Scientist builds and deploys ML models to combat fraud, collaborates with clients on risk solutions, and scales models to production. Requires 5+ years in data science, Python/SQL/Spark proficiency, and strong communication skills.
Machine Learning Engineer
Designs and builds ML systems for real-time fraud detection, including data pipelines, model deployment, and backend services in Go/Python. Requires 5+ years software engineering with applied ML experience on large datasets.
Strategic Account Manager
Manages key customer accounts for a fraud prevention platform, acting as primary contact to maximize ROI, solve fraud/compliance issues, and drive expansion through analytics and integrations. Requires 7+ years in account management or solutions architecture in fintech/SaaS.