Top Tech Jobs & Startup Jobs in NYC, NY

Lead client-facing FinOps engagements from discovery through realization, including cloud cost assessments, tooling implementation, allocation models, optimization, governance, and technical remediation. Advise executive stakeholders, architect solutions across AWS, Azure, or GCP, and support presales proposals. Develop reusable delivery frameworks, playbooks, SOWs, pricing models, and scalable offerings, including emerging AI infrastructure cost-management practices.

Leads development and operation of a secure, multi-tenant as-a-Service automation platform using ServiceNow. Defines requirements, guides developers, manages the platform lifecycle, integrates monitoring and incident-management tools, automates ordering, billing, and asset processes, maintains configurations and security, develops metrics and documentation, leads demonstrations, and coordinates with customers, service providers, and internal technical, financial, and program teams.

Leads client automation engagements and incubates new automation offerings from pilot through adoption and scale. Coordinates delivery, engineering, consulting, project management, vendors, and geographically dispersed teams to achieve measurable client outcomes. Drives customer satisfaction, growth opportunities, reusable frameworks, thought leadership, and cross-functional solution development. Requires strong executive communication, estimation, project financials, Agile leadership, and understanding of software development lifecycles, integrations, applications, and business operations.

Leads customer engagements involving infrastructure automation, observability, agentic AI, and AI-enabled operations. Designs architectures, translates business needs into technical strategies, leads hands-on implementation, develops reusable automation patterns, communicates solutions to executives and engineering teams, mentors engineers, and advances consulting practice capabilities. Work includes observability pipelines, infrastructure-as-code, orchestration, testing, cloud and on-premises validation, AI agent integration, governance, and operational workflows.

The Solutions Managing Director in AI Tech Strategy & Consulting drives AI strategy engagements for enterprise clients, manages high-value portfolios, and leads consulting teams while fostering C-suite relationships and business growth.

Manage large-scale transformational technology programs, including governance, delivery, budgets, forecasts, procurement, risks, milestones, staffing, quality, and stakeholder engagement. Lead distributed matrixed teams, oversee project managers, resolve escalated issues, manage statements of work and contract changes, deliver executive reporting, and ensure customer satisfaction and profitability. Coach program staff and maintain long-term goals across portfolios of projects.

Leads the architecture, design, integration, deployment, and operation of large-scale Zero Trust security solutions for DoD environments. Creates system blueprints, selects technologies, integrates distributed systems across on-premises, cloud, and hybrid environments, optimizes performance, resolves system issues, and ensures compliance with DoD requirements. Leads engineering teams, supports installation and migration at multiple locations, and documents architecture and implementation decisions.

Lead AI product vision and roadmap to deploy enterprise copilots, workflow agents, and automation. Identify and prioritize use cases, run POCs, scale solutions, measure adoption and ROI, ensure governance and security, and drive cross-functional delivery with PMO, engineering, and business stakeholders.

Lead UX and UI design across web, mobile, desktop, internet, and intranet software products. Conduct user research, usability testing, and concept validation; mentor designers and establish UX best practices. Create accessible, high-fidelity designs and functional prototypes using Figma and agentic coding tools. Maintain and expand the Blue Steel design system, collaborate with engineering on coded components, and communicate design recommendations to stakeholders.

Leads a small, hands-on team investigating emerging AI capabilities for executive stakeholders. Converts ambiguous questions into time-boxed experiments, builds prototypes, designs evaluations, analyzes cost, latency, reliability, and failure modes, and delivers defensible recommendations. The manager hires and coaches senior engineers, presents findings to executives, stops low-value bets, and packages validated work for handoff to operational teams without owning production support.