Top Tech Jobs & Startup Jobs in NYC, NY

Leads company-wide AI adoption, operating the AI Center of Excellence, developing champions, running cross-functional AI sprints, delivering training, managing AI tools and budgets, and measuring workflow adoption, time savings, and financial impact. The role partners with Engineering to distribute shared AI skills, evaluates vendors, reports outcomes to executives, and publishes successful use cases across departments.

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Designs and leads Ceres Life’s enterprise internal control framework across financial, operational, technology, and corporate functions. The role assesses risks, develops control matrices and documentation, monitors effectiveness, manages remediation, supports audits and regulatory examinations, and drives process improvement and automation. It partners with Finance, Operations, Technology, Compliance, Legal, and executives to strengthen governance, ensure regulatory readiness, and build a scalable culture of accountability as the insurance business grows.

Manages strategic client relationships and coordinates integrated marketing program delivery. Responsibilities include client retention, issue resolution, recommendations, business reviews, reporting, and collaboration with internal teams to overcome roadblocks. The role requires understanding client businesses, competitive markets, products, pricing, and market developments while responding to client needs. Travel is required as business demands.

Leads cross-functional operational performance across inspections, post-sale, customer support, title operations, and offshore services. Responsibilities include optimizing margins, improving KPI visibility, mapping and standardizing processes, reducing operational friction, leading initiatives through sustained execution, establishing governance, and supporting senior leadership with data-backed recommendations. The role requires influencing across departments and strengthening accountability without direct authority.

Supports creative agency project execution through project setup, scheduling, task assignment, documentation, deliverable tracking, status reporting, quality assurance, meetings, and workflow coordination. The role helps maintain project momentum, communication, and timely client delivery while developing project management expertise.

Leads Ting Labs’ direct-to-consumer growth strategy and marketing operations foundation. Owns customer acquisition, media investment, brand and performance marketing, experimentation, measurement, attribution, dashboards, marketing technology, data integrations, and operational processes. Partners cross-functionally with Creative, Product, Engineering, Finance, agencies, and technology vendors to optimize growth performance and investment decisions.

Configure and administer Salesforce orgs for assigned customers, including users, profiles, roles, reports, dashboards, and Flow automations. Consult with clients on process improvements, troubleshoot configuration issues across application and integration layers, support data migrations, and coordinate with Support Engineers and Customer Success Managers. Provide Salesforce best-practice guidance, manage client requests within SLAs, and communicate effectively while handling multiple customer tasks.

Manages homeowners catastrophe claims from assignment through closure. Responsibilities include contacting insureds, investigating losses, analyzing policy coverage, reviewing damage estimates, determining claim values, negotiating settlements, approving payments, identifying recovery opportunities, and documenting claim files. The representative also handles referrals, sub-claims, contractor updates, and compliance with claim-handling standards and state laws.

The Cloud Inference Engineer is responsible for building and maintaining a scalable LLM inference platform, focusing on distributed systems and machine learning technologies while collaborating across teams to optimize performance.