Jobs at Sardine

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.

Own new business sales for Sardine’s crypto vertical, targeting exchanges, wallets, custodians, on/off-ramps, stablecoin issuers, and blockchain ecosystems. Build pipeline through conferences and industry relationships, lead multi-stakeholder discovery, position integrated fraud and compliance solutions, and structure and close complex multi-module platform deals. The role requires crypto-specific buyer relationships, fluency in AML, KYC/KYB, and sanctions, collaboration with executives and Solutions Engineering, and frequent travel to conferences and client sites.

Manage full-cycle recruitment for go-to-market roles across the United States and Canada. Responsibilities include sourcing candidates, partnering with hiring managers on requirements and hiring strategies, advising on market conditions and recruiting funnels, managing candidate experiences, and improving recruiting processes. The role requires strong knowledge of B2B SaaS hiring, data-driven recruiting, ATS tools, People Operations, and fast-paced startup environments.

Manage a portfolio of B2B customers as their primary Sardine stakeholder. Advise clients on fraud, compliance, payments, and risk best practices; explain complex product and technology concepts; coordinate solutions with internal teams; monitor and communicate KPIs; analyze fraud typologies; and support strategic customer expansion while maximizing product ROI.

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.

Manage key customer accounts and ensure satisfaction by maximizing ROI from Sardine's fraud prevention products, while collaborating with internal teams.

Design and run evaluation frameworks to assess third-party vendor data for fraud detection. Build lift analyses, backtests, and champion/challenger tests; profile vendor datasets for quality and coverage; collaborate with fraud, product, and data engineering to define ingestion and testing requirements; translate findings into actionable recommendations and maintain an internal knowledge base; support ad hoc analyses on fraud trends and model performance.

Lead and scale a Support Engineering team handling complex API and payments issues, own incident response and SLAs, build operational processes, drive metrics and automation, partner cross-functionally, and hire and develop team members.

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.

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.

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.

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.

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.