Top Tech Jobs & Startup Jobs in NYC, NY

Build and operate on-premises infrastructure for containerized AI/ML services. Responsibilities include Kubernetes orchestration, infrastructure automation, CI/CD and GitOps pipelines, observability with Prometheus and Grafana, resilient high-availability infrastructure, and collaboration with mission stakeholders, data scientists, and system administrators. The role supports reliable delivery of mission-critical AI capabilities and may involve model-serving technologies, service meshes, SIGINT systems, and CNO operations.

Leads technical discovery and designs secure, scalable, supportable technology solutions for clients in a managed service provider environment. Develops architectures, Statements of Work, solution diagrams, estimates, bills of materials, and proposals; partners with sales, account management, engineering, project management, procurement, vendors, and clients. Ensures delivery readiness through architecture reviews, documentation, structured handoffs, risk mitigation, and continuous improvement of standards and service offerings.

Own client relationships and analytics strategy across digital measurement and GEO initiatives. Architect, audit, and QA GA4 and Adobe Analytics implementations; develop measurement frameworks, dashboards, experimentation plans, and causal analyses. Present insights to executive stakeholders, manage analytics workstreams, mentor teammates, and build AI-assisted workflows, automations, and scalable systems. The role combines traditional analytics with measurement of AI-powered search visibility and customer behavior.

Leads Burkland’s accounting service delivery organization as a manager of managers. Oversees Division Managers, project teams, and ERP support; owns division performance, staffing, capacity planning, utilization, realization, client delivery, escalations, and growth. Drives proactive advisory services, cross-functional coordination, and AI adoption across accounting workflows. Coaches managers, establishes performance standards, manages change, and represents production needs to senior leadership.

Provides remote administrative and virtual assistant support, including email and calendar management, scheduling, data entry, documentation, client communication, project follow-up, research, and reporting. May also schedule social media content, respond to inquiries, and monitor engagement metrics. Requires strong organization, communication, technological proficiency, time management, attention to detail, and independent problem-solving skills.

Generates and qualifies prospective customers through outbound calls, emails, and inbound lead management. Schedules qualified meetings, maintains accurate CRM records, supports sales handoffs, learns industry and competitive messaging, and contributes to pipeline and lead-generation goals. The role also assists with regional industry speaking engagements and requires strong communication, organization, persistence, and collaboration skills.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

Develop and execute product marketing strategy for a B2B/B2G technology portfolio. Responsibilities include positioning and messaging, competitive research, product launches, go-to-market planning, sales and customer success enablement, partner marketing, customer adoption materials, KPI reporting, and cross-functional project coordination.

Own the self-serve customer growth strategy from signup through paid conversion. Analyze funnels, cohorts, retention, segmentation, and user paths to identify activation opportunities and recommend measurable product and go-to-market improvements. Assess competitors, model market opportunities, advise on pricing and packaging, and communicate product insights to senior leaders and cross-functional teams across global time zones.

Leads the creation and global scaling of an AI Data Operations practice. Responsibilities include defining service strategy, developing AI data and evaluation solutions, originating and closing client engagements, establishing quality and governance frameworks, building strategic partnerships, providing thought leadership, and enabling scalable managed-service delivery. The role combines AI expertise, consulting, sales, solution design, commercial leadership, and global operations.