Jobs at Sardine

Lead RevOps analytics and GTM engineering to scale revenue processes. Build analytics infrastructure, evaluate AI-first tech, automate lead-to-cash workflows using AI-assisted development, integrate systems, and deliver data-driven strategic insights across Sales, Marketing, and Post-Sales.

As a Data Scientist, you will design and deploy data-driven fraud prevention solutions, working directly with clients to tackle unique challenges. You'll build machine learning models and collaborate with engineering to enhance backend systems.

The Support Engineer will provide technical support and customer assistance for the platform, troubleshoot issues, and collaborate with internal teams to enhance customer satisfaction and product quality.

As an FP&A Analyst, you'll manage budget analysis, partner with departments on financial planning, develop operating models, and leverage AI for financial insights.

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.

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.

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.

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.

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

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 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.

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.

Research and target enterprise accounts in fintech, financial services, marketplaces, e-commerce, and high-risk verticals. Conduct outbound and LinkedIn social selling, qualify leads, book high-quality meetings for Account Executives, maintain prospect data in Salesforce and sales tools, support pipeline processes, and attend select industry events.

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.

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

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

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.