Top Tech Jobs & Startup Jobs in Boston, MA

Own ERGO NEXT’s digital PR, editorial partnerships, publisher relationships, influencer and affiliate collaborations, and sports sponsorship activation. Lead agency outreach, secure buyer-guide and editorial placements, distribute proprietary research, develop executive thought leadership, and improve brand visibility across search and AI answer engines. Collaborate with SEO, content, growth, and social teams while measuring earned-media impact, traffic, citations, reputation, and business results.

Own the technology and go-to-market strategy for NEXT’s Business Owner’s Policy. Responsibilities include driving the roadmap, shipping and packaging the insurance product, managing direct, agent, and partnership channels, improving user experience and conversion, leading planning and executive communications, and using AI to accelerate product development. The role requires learning insurance fundamentals and collaborating with insurance product managers, engineering, design, data science, and cross-functional teams.

Own and optimize commercial casualty insurance products, including coverage, pricing, underwriting rules, segmentation, and regulatory compliance. Use portfolio performance, loss-ratio analysis, modeling, and market research to improve profitability and growth. Partner with Actuarial, Engineering, Technical Product, Compliance, Legal, Claims, Data Science, and Operations to deliver product changes, filings, and underwriting improvements. Communicate product performance and updates to leadership and stakeholders.

Build and own backend features end-to-end for the Agents Channel, writing clean, testable server-side code (Kotlin/Java). Collaborate with product, marketing, and frontend teams, work in cloud environments (AWS preferred), use relational databases/SQL, CI/CD, and leverage AI/LLM tools to improve developer productivity.

Design, implement, and own backend features from inception to production. Collaborate with product, marketing, and front-end teams to iterate quickly. Write clean, testable server-side code (Kotlin/Java or similar), work with relational databases and SQL, and operate in cloud-based environments with CI/CD deployment.

Develop and own backend features for the Payments & Partnerships domain using server-side Kotlin/Java (or similar). Collaborate with product, marketing, and frontend teams from design through production. Produce clean, testable code with high test coverage, deploy via CI/CD, and leverage AI/LLM tools to improve developer productivity.

Lead actuarial data scientist to oversee technical pricing models, actuarial systems, and a team of actuarial data scientists. Develop strategic roadmap, establish modeling standards and validation, apply ML/AI to pricing, collaborate with legal/compliance, present insights to executives, and manage projects to deliver high-quality actuarial products.

As a Machine Learning Engineer, you will optimize backend services, integrate ML models, collaborate with cross-functional teams, and support continuous improvement initiatives.

Lead profit, compliance, and scaling of the Workers Compensation product by translating NCCI/state rules into technical requirements, managing major implementations, coordinating stakeholders (engineering, product, legal, filings), defining automation for underwriting and portfolio management, tracking milestones/metrics, and designing workflows to support customer service and production teams.

Independently manage complex, high-value, multi-state Workers’ Compensation and occasional General Liability audits. Investigate disputes, interpret state-specific regulations and policy terms, reconcile audits for accuracy and compliance, and apply NCCI and WCIRB standards. The role also supports teammates, explains technical findings to customers and partners, and improves audit quality, efficiency, and processes.