Top Tech Jobs & Startup Jobs in NYC, NY

Leads post-acquisition integration across strategy, planning, execution, governance, cost management, and value realization. Partners with business and functional leaders to execute integration plans, track strategic and financial objectives through scorecards, and improve M&A playbooks and processes. Requires strong executive communication, strategic judgment, influence without direct authority, and extensive experience managing complex global integrations.

Lead Cedar’s Patient Data Platform from strategy through execution. Own the normalized clinical and financial data model, transformation pipelines, integration standards, governance, quality frameworks, and multi-quarter roadmap. Partner with engineering, architecture, integrations, clients, and EHR providers to deliver reliable, secure, scalable data foundations. Define platform metrics, improve integration velocity and data quality, and enable downstream products and AI-powered workflows across complex healthcare financial systems.

Leads revenue operations and GTM innovation by advising Sales, Marketing, and Customer Success; building AI-first systems, automations, dashboards, and workflows; analyzing funnel performance; improving forecasting and pipeline health; and driving cross-functional initiatives that increase GTM efficiency and revenue growth.

Develop and maintain low-latency backend components for a globally distributed advertising platform. Responsibilities include writing high-performance C++ or Rust code, designing systems, testing, reviewing code, supporting production services, troubleshooting performance issues, and collaborating across teams to deliver projects.

Lead private market fund and investor operations from launch through wind-down, including subscriptions, capital calls, distributions, onboarding, servicing, reconciliations, and provider oversight. Design scalable workflows, controls, SOPs, KPIs, and launch playbooks; interpret fund documents; manage enterprise client implementations and cross-functional technology initiatives; and mentor analysts with a path toward people management.

Perform manual testing of new features, reproduce and document bugs, validate fixes, interpret product requirements, work cross-functionally with Engineering and Product, and use product knowledge to identify edge cases and improve product quality.

Leads client engagements that apply generative AI, copilots, and AI agents to enterprise workflows, workforce transformation, and responsible adoption. Identifies high-value use cases, redesigns roles and processes, develops capability-building programs, and establishes governance, adoption, and value metrics. Advises senior stakeholders, facilitates executive workshops, leads multidisciplinary consulting teams, and contributes to proposals and reusable AI transformation assets, particularly for regulated financial services organizations.

Develops market and desk research, quantitative analyses, and client recommendations for consulting engagements. The role structures business problem solutions, synthesizes findings, presents insights, manages project plans and client updates, supports risk mitigation, builds client relationships, and mentors Associates. Requires strong communication, analytical, organizational, leadership, and problem-solving skills, with a quantitative graduate or undergraduate background.

Leads GLI’s technology strategy, infrastructure, cybersecurity, digital platforms, enterprise applications, data governance, accessibility, and AI initiatives. Manages a five-person technology team, vendors, budgets, help-desk operations, platform consolidation, business continuity, CRM systems, and technology risk. Partners with executives and departments to align technology investments with educational and organizational priorities while supporting facilities, workplace, and digital-learning initiatives.

Build and ship SaaS products for real estate professionals, own a summer engineering project, collaborate with engineers, product managers, and designers, and contribute to production features and bug fixes. Interns receive mentorship, work on site in New York City for 10 weeks, and present their project to executive and engineering teams.