Top Tech Jobs & Startup Jobs

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.