Top Vice President Of Engineering Jobs in NYC, NY

The VP of Engineering will lead the engineering organization, scale operations, drive AI integration, ensure delivery excellence, and foster collaboration with product and technology teams.

Lead the engineering organization to define vision, scale teams, and deliver enterprise-grade SaaS features. Ensure reliability, security, data integrity, and high-velocity execution across product squads while partnering with Product and Exec leadership on roadmap, architecture, and build-vs-buy decisions.

As VP of Engineering, you will lead the engineering organization, set strategy, manage technical deliveries, and enhance the API offerings while partnering with product and operational teams.

The leader will direct the global Voice & Video Engineering team, handling strategy, platforms, innovation, and technical initiatives for voice and video solutions, while managing teams and projects to ensure top-tier collaboration capabilities across Blackstone's global operations.

Lead and build Trustly's US Solutions Engineering organization covering pre-sales, implementation, and technical account management. Drive merchant onboarding, reduce integration time-to-live, support enterprise deals, own escalations, develop self-serve integration resources, and establish performance metrics across the function while partnering with Sales, Product, and Engineering.

Lead and mentor a full-stack engineering team building cloud-native fundraising and private wealth systems. Design scalable backend services, data pipelines (dbt, Snowflake), APIs and integrations (Salesforce), drive CI/CD and IaC (GitLab, Terraform), adopt container/serverless architectures on AWS, and partner with product, data, security, and cloud teams to deliver reliable, analytics-ready platforms.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.

Lead global engineering for Gym, Studio, and Enterprise products, driving technical strategy, platform modernization, reliability, and AI-enabled SDLC adoption. Build and develop engineering leaders, improve delivery predictability, observability, security, and operational excellence, and partner with product and business stakeholders to deliver measurable customer and business outcomes across distributed teams.

Lead Experian Automotive's software engineering organization to define strategy, modernize architecture, and deliver scalable AI-enabled SaaS products. Oversee SDLC, cloud-native microservices, DevOps/CI-CD, engineering KPIs, budget/vendor management, and talent development while partnering with product, security, data, and sales to drive business-aligned technology transformation.

Lead vision, strategy, and execution for unified platform engineering including CRM, contact center, DevOps, and MLOps. Oversee architecture, security, compliance (HIPAA, FedRAMP, NIST), vendor relationships, budgets, and talent development. Translate product needs into scalable, reliable platforms and report to CTO and executives while ensuring ethical, compliant AI/ML deployment.

Lead Core Systems engineering to build reusable, scalable shared capabilities across Cengage's product portfolio. Own strategy, roadmap, modernization (cloud-native, AI, RAG), reliability, observability, and consolidation of legacy platforms. Partner with product, security, and operations to enable AI-powered learning experiences, drive operational excellence, manage budgets/vendors, and develop a high-performing distributed engineering leadership team.

The VP of Product Engineering leads the software product strategy for Natera's Genetics Portfolio, overseeing a team and ensuring product success across diagnostics areas by managing partnerships, product roadmaps, and operational excellence.

Lead full-stack engineering for enterprise-grade HR platforms, ensuring compliance, data governance, and technical integration alongside design and system architecture responsibilities.

The VP of Engineering will lead AI-driven transformation, manage a 50+ engineer team, set technical vision, and build customer relationships while driving performance and quality improvement across engineering delivery.

Lead global onshore/offshore engineering teams to build mid-level management, enforce engineering standards, and ensure high-quality delivery. Partner with delivery and account leaders, drive Centers of Excellence (DevOps, AI-augmented development), set Newfire Labs priorities, and shape how AI is applied across the development lifecycle.

Lead and grow the AI Platform team to deliver shared AI/ML services, infrastructure, and tooling. Define platform vision with the architect, enforce standards for reliability, security, and observability, and collaborate with cross-functional teams to enable secure, self‑service developer capabilities.

Lead and scale a global Customer Engineering and Value Engineering organization to drive AI-focused technical discovery, validated edge architectures, ROI modeling, and pre-sales qualification. Build operating rhythms, playbooks, and cross-functional partnerships to accelerate global deployments of GPU-accelerated, edge AI solutions while ensuring technical and commercial rigor across regions.

Lead a small engineering team to turn ambiguous opportunities into production software quickly and safely. Establish AI-first development, specification-driven practices, strong automated testing, CI/CD, observability, and production ownership while improving legacy systems and influencing enterprise engineering practices.

Lead design and implementation of trading workflows while collaborating with cross-functional teams, mentoring engineers, and driving AI-driven development in a financial software context.

Lead and architect enterprise React-based micro-frontend UIs for payments platforms. Manage and mentor senior UI engineers, define standards for state management, testing, and design systems, and drive performance, accessibility, and delivery of real-time financial dashboards.

Design, develop, test, deploy, and maintain scalable software and data pipelines for analytical and operational use. Work across the SDLC, perform statistical analysis to optimize performance, identify anomalies, and collaborate on solution designs. Evaluate new technologies, build robust testing suites, and mentor junior engineers.

Lead design, development, testing, deployment, and maintenance of scalable software solutions and testing suites. Collaborate on requirements, solution design, and SDLC activities. Identify and adopt external technologies to transform financial platforms and work with large compliance data platforms.

Lead Licensing & Finance Engineering: set technical vision, drive delivery, mentor and grow a 25+ engineer team, improve Agile/DevSecOps practices, manage integrations (Salesforce, AWS, ERP), and oversee budgeting, hiring, and stakeholder collaboration.

The VP of Cloud Engineering will strategize and oversee the firm’s cloud architecture on Azure, enhancing operational reliability and product delivery, while optimizing Microsoft 365 environments.

The VP of Engineering will lead the engineering team, develop strategies, manage infrastructure, and ensure delivery of software and services supporting the company's goals.