Top Tech Jobs & Startup Jobs in NYC, NY

Lead design and build of a scalable analytical data platform: develop and optimize ETL/ELT pipelines, create analytical data models, enforce data quality and governance, collaborate with data scientists and analysts, mentor engineers, and drive continuous improvement of analytics tooling and processes.

Lead architecture and product-aligned engineering for agentic, event-driven AI systems handling tens of millions of unstructured documents. Drive platform-product integration, accelerate the SDLC with AI tooling, solve critical scalability bottlenecks, and mentor engineering teams while aligning technical strategy with executive leadership.

Lead and scale the EIQ engineering organization, set technical vision and architecture, partner with Product, hire and develop leaders and ICs, own CI/CD and cloud infrastructure (GCP/AWS), drive strategic roadmaps, and represent engineering in executive discussions while embedding LLM/agentic workflows.

The Director, Data Insights will bridge technical data and business decisions by translating complex data into persuasive narratives, advise executives, and transform organizational culture toward data-driven practices.

Lead enterprise product deployments, training, and change management for EIQ's AI claims guidance. Act as product and claims operations subject-matter expert, drive client adoption, partner with Sales/Product/Analytics, build playbooks, and improve operating models to increase client satisfaction, retention, and expansion.

Lead end-to-end deployments of EvolutionIQ AI products for enterprise clients, managing project plans, executive stakeholder communication, cross-functional coordination, data integrations and UAT, risk mitigation, change management, and post-go-live transition while improving deployment playbooks to ensure on-time delivery and high client satisfaction.

Lead EvolutionIQ's full marketing and GTM function to define category narrative and position product lines. Own product marketing, sales enablement, content, field marketing, events, and CCC partnership integration. Build and grow a senior team, create scalable enablement systems, and drive category leadership for agentic claims processing.

Lead roadmap and execution for AI-first P&C claims products. Build and ship prototypes, work directly with enterprise carrier stakeholders, validate concepts with customers, partner with sales/customer success/marketing for GTM, contribute technically by coding prototypes, and drive strategic direction and business outcomes across multiple product lines.

Design, build, and own a multi-tenant enterprise SaaS backend that feeds ML data and BI. Collaborate with product, data science, UX, and users to deliver scalable, reliable customer-facing AI solutions. Drive systems design, database schemas, development lifecycle standards, technical docs, and code reviews while using AI/agentic tools to accelerate development.

Design and build scalable data pipelines and backend systems for AI solutions. Lead architecture, code quality, security guardrails, and review AI-accelerated output. Partner with product, data science, and client teams to transform pipeline outputs into actionable insights. Own full feature lifecycle from prototyping with agentic tools to production-grade deployments.