Top Tech Jobs & Startup Jobs in NYC, NY

The Services Partner manages strategic client relationships, develops account strategies, identifies and closes complex technology services opportunities, and oversees sold engagements. This sell-plus-deliver role coordinates consulting, technical, and managed-services teams; develops proposals, value propositions, and statements of work; monitors portfolio performance, delivery quality, economics, utilization, and client satisfaction; and drives sustainable services growth through executive-level client engagement and technology consulting.

Leads financial selling and financing strategy for complex technology transactions. The role develops total cost of ownership analyses, structures client financing solutions, manages booking and billing requirements, resolves financing terms, reduces days sales outstanding, supports credit-limit reviews and collections, and presents strategic financing opportunities. It partners closely with sales, finance, accounts receivable, suppliers, manufacturers, and clients while serving as a subject-matter expert on financing execution.

Participate in AHEAD’s associate development program, completing technical training, certifications, and project shadowing focused on storage within modern data center environments. Support client projects, collaborate across teams, analyze technical issues, solve problems, manage competing priorities, and deliver solutions by deadlines. Candidates should have infrastructure and VMware experience, technical education or related training, and willingness to travel extensively for client support and development opportunities.

Serve as the senior technical authority for enterprise observability and reliability. Architect Dynatrace solutions across hybrid and multi-cloud environments, establish SRE practices, govern telemetry, lead modernization and migration programs, advise executives, support pre-sales, oversee delivery quality, develop reusable assets, and mentor technical teams. The role is remote in the United States with occasional travel of up to 15%.

Lead enterprise Azure and AI agent platform engagements from assessment through production delivery. Design landing zones, migrations, networking, identity, governance, FinOps, Microsoft Foundry environments, Copilot Studio solutions, and evaluation-driven CI/CD pipelines. Develop infrastructure and agents in code, author client-ready architecture and operational documentation, lead consulting teams, present to executives and governance boards, and enable client teams to operate delivered platforms.

The Senior Client Solutions Engineer leads technical sales efforts, designs solutions, and builds relationships with clients. They assist with strategies in cloud infrastructure and technical presentations, aiming to drive sales and enhance client engagement through their expertise in data center technologies.

The Senior Specialty Solutions Engineer will focus on network and network security solutions, collaborating with sales teams and vendors to deliver tailored technologies for clients, while leading engineering efforts and mentoring junior members.

Designs, builds, secures, monitors, and supports scalable data platforms across public and multi-cloud environments. Develops batch and streaming pipelines, ELT processes, data lakes, warehouses, APIs, and integrations with transactional systems. Works with SQL and NoSQL databases and technologies including Spark, Hadoop, Databricks, Snowflake, Kinesis, and Lambda. Leads projects, presents to leadership, collaborates with clients and Scrum teams, troubleshoots issues, and enables analytics and machine learning initiatives.

Build and maintain production full-stack features across Python backends, APIs, AI/LLM workflows, and React frontends. Design integrations, data persistence, event-driven services, and secure cloud-native workloads. Translate designs into accessible interfaces, write tests, participate in reviews, support CI/CD and observability, and diagnose issues across the stack. Collaborate with product, UX, and engineering teams to deliver iterative features in an enterprise AI platform.

Designs and governs production-grade agentic AI solutions across multiple squads. Translates business needs into architectures, roadmaps, requirements, security controls, and implementation plans; defines orchestration, integrations, workflows, and operational safeguards. Coordinates dependencies, technical debt, reusable patterns, and architecture governance while communicating tradeoffs to executives and stakeholders. Provides hands-on technical guidance, supports developer enablement, and directly manages engineers delivering enterprise AI and automation solutions.