The SME Consultant will validate AI outputs, evaluate product features, label medical data, provide workflow insights, and ensure a good user experience for claims professionals.

Contract technical recruiter/sourcer responsible for full-cycle hiring of engineers, product, and client services roles. Source 50–100+ candidates weekly, achieve high response rates, coordinate interviews, attend hiring meetings, and pitch candidates on joining a fast-growing AI/Insurtech startup. Hybrid work (NYC preferred).

The job involves full-cycle recruiting for technical and product roles, utilizing sourcing tools, scheduling interviews, and collaborating with hiring managers.

Translate complex model behaviors into actionable insights, lead discovery and requirements for AI features, build scalable automated client reporting, and create data visualizations and ROI-driven business cases to advise Product, Client Services, Sales, and Data Science teams.

Drive cross-functional programs that embed AI and automation into operations: translate business needs into technical requirements, partner with Engineering to design and deploy automations, measure impact with metrics and dashboards, remove operational bottlenecks, and scale best practices across Product, Engineering, and Operations.

Lead the strategy and execution of data-driven products in an AI insurance SaaS context, collaborating with engineering, data science, and business teams to deliver impactful solutions.

Lead execution of complex software projects with a security and compliance focus; define program strategy; coordinate cross-functional teams; manage risks, budgets, schedules, and resources; drive process improvements and ensure quality, performance, and stakeholder alignment.

As a Senior Machine Learning Engineer, you'll develop ML-driven features, perform data analysis, build scalable models, and enhance model performance.

The Engineering Manager will lead engineering teams to deliver high-quality solutions effectively, manage projects, mentor engineers, and ensure operational excellence while aligning with organizational goals.

Design, build, and deploy AI features for claim synthesis; implement machine learning solutions and improve model performance through collaboration and evaluation.

The Technical Engagement Manager oversees client project delivery, enhances operational product success, and manages timelines while ensuring client satisfaction through effective communication and data analysis.

As a Principal Software Engineer, you'll architect version 2 of an AI claims management platform, designing complex systems for insurance claims handling while mentoring engineers and collaborating with leadership.

The Office Manager will oversee daily office operations and provide executive support to co-founders, ensuring a welcoming and organized workplace. Responsibilities include managing supplies, coordinating events, and supporting employee onboarding.

Design and deliver customer-facing applications using Agentic technologies, maintain backend REST servers, and collaborate with cross-functional teams to build scalable solutions.

As a Technical Support Specialist, you'll assist clients by managing inquiries, troubleshooting issues, and educating users on platform features while analyzing data with SQL to advance workflows.

Design and implement AI-driven features for claims synthesis, leveraging LLMs and statistical techniques, while ensuring system performance and accuracy.

The Staff Software Engineer will lead the development of AI Claims Guidance software, building scalable APIs and backend services while collaborating with product and data teams to enhance insurance technology.

This role involves improving observability in GCP, building scalable infrastructure with Terraform and Helm, and ensuring security in cloud environments while leading DevOps initiatives and collaborating with engineering teams.

Lead the execution of complex software development projects focused on security and compliance, collaborating across teams to ensure quality and adherence to budget.

Lead a team of analysts to enhance client reporting, automate processes, and drive analytics solutions that support client retention and growth.