Jobs at Sardine

Lead client onboarding and integrations for fraud and compliance products. Manage implementation projects, design scalable API-based solutions, own API/SDK documentation, support clients end-to-end, lead an integrations team, and provide product feedback to stakeholders.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Own and evolve DevOps and platform engineering: build and maintain CI/CD pipelines, improve observability (Datadog/Prometheus), implement FinOps governance and cost optimization, manage IaC and Kubernetes tooling, enable developer productivity, define SLOs, and collaborate cross-functionally on security and financial alignment.

Sell Sardine's fraud and AML platform to Fortune 1000, financial institutions, fintechs and neo-banks. Build and qualify pipeline, run discovery, tailor demos with Solutions Engineering, manage complex multi-threaded sales cycles, lead negotiations and contracting, cultivate executive relationships across risk, compliance and technology, and provide market feedback to cross-functional teams.

Lead a globally distributed QA team to define QA strategy, governance, and audit-ready processes for regulated banking clients. Drive test automation, CI/release gating, regression coverage, incident response, and partner with Professional Services for UAT and integration validation while reporting quality KPIs.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Design and build end-to-end ML systems for fraud detection: develop and deploy models, create production-ready features and real-time data pipelines, integrate with backend services, and ensure monitoring, security, and observability.

The Integration Engineer will manage client onboarding, lead integration efforts, analyze technical requirements, and provide support for product implementation.

Sell Sardine's agentic risk platform to enterprise accounts (Fortune 1000, financial institutions, fintechs). Build executive relationships, run discovery, tailor demos, manage complex sales cycles end-to-end, lead negotiations, close deals, and provide market feedback cross-functionally.

This role involves analyzing complex datasets, developing metrics, building dashboards, and collaborating with teams to enhance fraud detection strategies using ML models.

Sell Sardine's fraud and risk platform to large banks and Fortune 1000 enterprises. Build executive relationships, run discovery, manage complex multi-threaded sales cycles, coordinate demos and negotiations, and close deals while providing market feedback to cross-functional teams.

Lead frontend design and delivery of AI product experiences using React and TypeScript, mentor engineers, set frontend standards, use AI-assisted tooling, and contribute to backend services in Go and product roadmaps.

Manage customer accounts, optimize product use, provide strategic guidance, and ensure compliance with risk and fraud solutions. Collaborate with internal teams for client needs.

Lead product lifecycle for internal PaaS and Data-as-a-Service offerings focused on SRE and data engineering. Drive system reliability (99.99% availability), scaling strategies, GCP cost optimization, BigQuery/table and ETL performance, AI/ML enablement, and data governance/compliance across cross-functional teams.

As a backend Software Engineer, you'll design and maintain APIs and services, develop features, and enhance internal tooling in a remote-first company.

The Integration Engineer will lead client onboarding for fraud and compliance products, manage integrations, analyze requirements, and support clients throughout the process.

Embed with clients to gather requirements and design AI-driven solutions for fraud and fincrime. Architect, train, evaluate, and deploy custom AI agents and workflows, optimize model performance, establish risk metrics and evaluation pipelines, and collaborate with engineering/product teams to scale into production.

Manage customer accounts, maximizing ROI on Sardine products, while collaborating with teams to meet customer needs in fraud and compliance.

Lead end-to-end data and ML pipelines for onboarding and fraud decisions: ingest streaming and batch sources, build feature platform and entity resolution, productionize ML models, enforce PII/data governance, and set technical direction while mentoring engineers and ensuring low-latency, reliable serving.

The Senior Account Executive will develop sales strategies, cultivate relationships with clients, and manage the sales process to close deals with banks and fintechs.