Top Tech Jobs & Startup Jobs in Boston, MA

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 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.

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

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 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.