Top Tech Jobs & Startup Jobs in Boston, MA

As a Fraud Operations Specialist, you will investigate fraud cases, analyze risk scores, collaborate across departments, and improve fraud detection processes. You will use data analysis to ensure compliance and support the overall efficiency of claims management.

The Senior Recruiter will manage full-cycle recruiting for Revenue and Product & Engineering teams, developing innovative strategies and acting as a brand ambassador.

As a Product Manager, you will manage the prioritization and program operations of AI-driven projects, ensuring efficient delivery and stakeholder communication across technical integrations.

The Senior ML Data Scientist will develop machine learning models to detect fraud, manage the data science lifecycle, and collaborate with teams on strategies.

Review and adjudicate complex product and shipping protection claims, serve as escalation contact, investigate fraud, coordinate service technicians/parts, communicate decisions to customers and partners, maintain documentation, meet SLAs, and recommend process improvements.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

Support feature development and visual design, creating polished Figma deliverables, collaborating with cross-functional teams, and leveraging user research to enhance user experience.

As a Product Manager II, you will drive product strategy, manage lifecycle from discovery to launch, and leverage user data for decision-making. You'll collaborate with cross-functional teams and advocate for AI integration to enhance the customer experience while refining the product roadmap.

The Principal Data Engineer will manage the analytics data architecture, engage cross-functionally, and create reliable data systems using Snowflake and Python on AWS.

Lead a team of machine learning data scientists, overseeing model development for fraud detection and risk assessment, and ensuring quality throughout the model lifecycle while mentoring the team.