Top Tech Jobs & Startup Jobs in NYC, NY

Build and own the company’s product, cloud, and internal security foundations. Responsibilities include developing security controls, securing AI agents and enterprise integrations, managing vulnerabilities and incident response, leading customer security reviews, maintaining trust documentation, supporting SOC 2, ISO 27001, and ISO 42001 readiness, and partnering cross-functionally on security priorities, governance, and compliance.

Leads analytics strategy and data maturity initiatives for complex clients. Facilitates discovery, designs scalable measurement and marketing technology architectures, develops strategic roadmaps and business cases, supports sales and business development, and advises on analytics, customer data, personalization, and journey orchestration. The role also drives innovation, creates reusable frameworks, mentors team members, and advances agency capabilities across modern measurement, privacy, AI, and digital experience analytics.

Designs, deploys, and secures AI agents for enterprise risk and security operations. The role manages AI governance, Microsoft security and compliance controls, data protection, DLP, insider risk, access controls, monitoring, incident response, and SIEM/XDR integrations. It also leads security architecture, automation, AI risk evaluation, cross-functional initiatives, and mentoring while supporting secure adoption of Microsoft Copilot and Azure AI platforms.

Partners with senior and operational leaders on employee relations, performance management, organizational development, change management, succession planning, investigations, accommodations, leaves, workers’ compensation, separations, and acquisition integration. Reviews employment actions, contracts, pay equity, HR files, and background checks while ensuring employment-law compliance. Analyzes HR metrics, oversees ethics reports, supports benefits and unemployment matters, and develops HR training and recommendations.

Build and optimize the systems, data flows, automations, and AI workflows powering Strella’s go-to-market engine. Responsibilities include identifying buying signals, automating prospecting and account research, improving customer expansion workflows, running GTM experiments, measuring results, and maintaining integrations across tools such as HubSpot, Clay, and Lemlist.

Designs and leads target-state perimeter and DMZ architectures across hybrid and multi-cloud environments. Develops network segmentation, secure ingress and egress patterns, security guardrails, reference architectures, and automation-first standards. Partners with cloud, network, security, and middleware teams to enable self-service platforms and developer productivity. Leads architectural governance, design reviews, roadmap development, and proof-of-concept implementations while applying Zero Trust, API security, and compliance principles.

Own and build Sagetap’s marketing growth system, including CRM, attribution, automation, dashboards, executive acquisition channels, advocacy, content, partnerships, events, referrals, and activation. The role targets growth of a senior technology executive community through data-driven experiments, proprietary content, and scalable programs. This leader will work closely with the CEO, manage budget development, engage executives, and optimize cost per activated member and activation rates.

Provides tier 2 technical support for hardware, software, networks, workstations, servers, printers, and mobile devices. Installs, configures, upgrades, images, and maintains end-user systems; manages device inventory and enterprise desktop tools. Troubleshoots incidents, supports service restoration, advises users, documents solutions, and contributes to process improvements. The role is remote within Florida with periodic travel to branch locations.

Own growth of an industry vertical, partner with insurance carriers to place and transact policies, and turn operational processes into scalable, agent-led product workflows. This founding role requires analytical rigor, operational excellence, ownership, comfort with ambiguity, and fast execution in an in-person startup environment.

Build and validate forecasting, optimization, anomaly detection, and measurement models using complex customer data. Perform exploratory analysis, experiments, backtesting, and error analysis; partner with ML and data engineers to productionize models, features, evaluation pipelines, and monitoring. Translate business questions into analytical recommendations and communicate findings to technical and non-technical stakeholders. The role is hybrid in New York City or remote in the U.S. with monthly travel to New York.