Top Tech Jobs & Startup Jobs in Boston, MA

Develop full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.

Handle inbound calls and warm leads to understand customers’ insurance needs, recommend appropriate Property & Casualty coverage, and convert prospects into policyholders. The role includes paid training and licensing, commission-based earning potential, customer communication, sales closing, and adherence to remote-work requirements. Employees must work four weekdays and one weekend day on assigned shifts and remain in their resident state for at least one year.

Handle inbound calls and warm leads, assess customers’ insurance needs, recommend appropriate coverage and benefits, and convert prospects into policyholders. The role includes paid Property and Casualty licensing and sales training, customer relationship development, accurate communication, and meeting commission-based sales goals. Employees work remotely on a designated weekday and weekend schedule while maintaining a professional home workspace and reliable high-speed wired internet.

Partners with Excess Casualty and Mobility Solutions underwriting teams to deliver financial and operational reporting, planning, forecasting, variance analysis, and strategic insights. Acts as a data steward, investigates financial trends and variances, maintains reporting documentation, and recommends process, control, and technology improvements. The role requires strong analytical, communication, organizational, and financial planning skills.

Analyzes business performance, trends, competitor filings, and product-line data for personal lines property and specialty insurance. Develops advanced queries and analytical tools, conducts state and countrywide reviews, manages projects and workstreams, and recommends strategic and tactical improvements to products, pricing, technology, and business initiatives. Presents findings to product managers and serves as a subject matter expert on assigned states and products.

Handles inbound calls and warm leads, consults customers on property and casualty insurance needs, recommends appropriate coverage, and converts prospects into policyholders. The role includes paid licensing and training, customer service, sales closing, and brand representation. Employees must work a designated weekday and weekend schedule, maintain a compliant home workspace and wired internet connection, and obtain a Property and Casualty insurance license after hire.

Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverages, and converts prospects into policyholders. The role includes paid training and licensing, customer communication, sales closing, and remote work. Employees must work four weekdays and one weekend day, maintain a dedicated home workspace with wired high-speed internet, and remain in their resident state for at least one year.

Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate Property & Casualty coverages, and convert prospects into policyholders. Complete paid licensing and sales training, represent the Liberty Mutual brand, maintain strong customer relationships, and meet sales goals while working remotely on an assigned evening and weekend schedule.

Leads Liberty Mutual’s Quantitative Capital Insights team, overseeing enterprise economic capital modeling, capital adequacy analysis, RORAC, stress testing, scenario analysis, regulatory and rating agency reporting, and strategic capital decisions. Advises executives and the Board on capital deployment, risk financing, M&A, reinsurance, and portfolio optimization. Builds relationships across business units and enterprise functions, advances model governance and infrastructure, and integrates previously separate teams while developing quantitative insights that support business decisions.

Develop full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, data pipelines, and GenAI capabilities. Responsibilities include designing technical solutions, provisioning data for AI workflows, building ingestion and analytics systems, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and collaborating with data scientists, product managers, and stakeholders in an agile environment.