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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.

Full-cycle technical recruiter responsible for sourcing, screening, interviewing, and closing candidates for software engineering, data science, ML, and product roles across regions. Partner with hiring managers on job requirements and hiring strategy, manage offer processes, ensure excellent candidate experience, and use ATS, Notion, and data-driven recruiting to support growth in a remote-first, high-growth SaaS startup.

Lead client onboarding and end-to-end integrations for fraud and compliance products. Manage API/SDK documentation, analyze technical requirements, design integration solutions, run implementation projects, support clients through onboarding, and provide product feedback to internal teams.

Lead Sardine's federal GTM: build and qualify pipeline, manage capture cycles through contract award, engage agency stakeholders and SIs, coordinate demos with solutions engineering, maintain Salesforce pipeline, and represent the company at federal industry events.

The Data Platform Engineer will design and implement ETL pipelines, develop APIs for data retrieval, and manage scalable storage, contributing to backend engineering efforts and data product development.

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 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.