Top Tech Jobs & Startup Jobs in NYC, NY

Leads enterprise technology strategy, architecture, modernization, security, reliability, AI adoption, and execution. The VP will oversee engineering and data organizations, develop technical leaders, establish roadmaps and performance standards, guide cloud and data platform evolution, and connect technology investments to measurable business outcomes. This executive partners with the CEO and cross-functional leaders while managing organizational performance, operational risk, governance, resilience, and technology investments.

Manage technology partner relationships and integration launches from requirements through deployment. Coordinate with Product, Engineering, Sales, Marketing, and Customer Success; create API documentation and enablement materials; monitor adoption and partner health metrics; improve onboarding, certification, and partner tooling; and relay partner and customer feedback to shape the integration roadmap. This is a fully remote role for an early-career professional with partnerships, integrations, implementation, or technical account management experience.

Drive new revenue for Cybernut across a Southeast K-12 territory. Prospect, qualify, and close school district and education agency opportunities; manage the full sales cycle, deliver tailored demos, maintain pipeline and CRM data, forecast accurately, collaborate with marketing and implementation teams, and represent the company at trade shows and industry events. The role requires K-12 technology sales experience, consultative selling expertise, strong communication skills, and up to 40% regional travel.

Supports pre-sale and post-sale customer engagements by analyzing business needs, designing and implementing enterprise software solutions, gathering requirements, documenting architectures, and guiding testing and change control. Advises customers on API integrations, automation, workflow, cloud deployments, and ServiceNow-related solutions. Partners with technical and business stakeholders, develops implementation best practices, estimates project effort, and helps customers achieve value with FireMon products.

Leads strategic, net-new customer acquisition for healthcare IT solutions within a specialty market. Builds territory strategy, generates pipeline, conducts product demonstrations and ROI discussions, manages complex sales cycles, forecasts revenue, negotiates contracts, and closes new business. Develops trusted advisor relationships by addressing practice workflows, revenue cycle, interoperability, and regulatory challenges. Collaborates with marketing, sales development, solutions engineering, and professional services teams. Domestic travel is approximately 30%.

The Project Manager will manage the implementation of enterprise SaaS solutions in the utility industry, ensuring project success and customer satisfaction.

Develop and optimize process models and techno-economic analyses for direct air capture demo and production facilities. Translate Aspen models into equipment sizing, cost estimates, process documentation, and vendor-ready specifications. Refine heat and mass balances, evaluate operating scenarios, support equipment selection, and identify energy, capital, and operating cost reductions. Collaborate with engineering, R&D, project management, vendors, and external design firms while presenting technical and financial findings to leadership, investors, and stakeholders.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Design, develop, and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservices environment. Build AI-powered applications with LLMs, RAG pipelines, GenAI agents, vector databases, and AI services. Optimize performance, implement responsive user interfaces, troubleshoot systems, participate in code reviews, and collaborate with AI/ML engineers and cross-functional teams in a remote setting.

Design, train, and deploy ML models for Qur'ān recitation, tajwīd detection, and ASR. Build data pipelines for cleaning, segmentation, labeling, and evaluation. Integrate real-time predictions via APIs or lightweight on-device inference, optimize models for speed and mobile performance, and collaborate with backend developers to ship AI features in the app.