Top Technical Program Manager Jobs in NYC, NY

Senior individual contributor responsible for managing network backbone and fiber connectivity programs supporting new data center markets and sites. Owns program plans, interdependencies, vendor deliverables, contracting, construction, testing, connectivity readiness, and service turn-up. Drives cross-functional accountability across Legal, Finance, Engineering, Operations, and Sourcing while managing risks, capacity constraints, route diversity, and critical-path milestones. Builds scalable intake workflows, tracking systems, milestone frameworks, and portfolio reporting.

Lead and manage end-to-end software engineering programs, coaching teams and coordinating cross-functional stakeholders. Oversee planning, budgeting, execution, and delivery of enterprise applications (including low-code platforms). Drive quality through ATDD, CI/CD, code review and architecture best practices (microservices/API management). Mentor staff, resolve technical and stakeholder conflicts, apply emerging AI technologies, and improve processes to meet engagement objectives and client expectations.

Lead end-to-end delivery of Wealth Management monitoring technology, coordinating cross-functional teams, managing roadmaps, risks, and stakeholders to ensure compliance, supervisory controls, and high-quality execution across concurrent workstreams.

Own the end-to-end technical program for Superhuman’s central infrastructure platform, coordinating identity, billing, provisioning, SKU, and data workstreams. Establish shared roadmaps, dependencies, operating cadences, integration playbooks, reporting, and delivery commitments across engineering, product, growth, RevOps, Finance, and M&A stakeholders. Drive scalable infrastructure integrations for new and acquired products while surfacing tradeoffs, resolving blockers, and aligning teams around measurable outcomes.

Leads high-visibility, multi-quarter technical programs spanning Engineering, Product, and other teams. Drives planning, execution, dependency management, communications, escalation handling, tradeoffs, change management, and operational improvements. Acts as an organizational leader, mentors TPMs, runs planning and business reviews, and supports strategic initiatives involving infrastructure, enterprise systems, identity management, platform consolidation, and technology integrations.

Leads technical data-capture programs across hardware, software, operators, and field locations. Responsibilities include translating dataset requirements into capture plans, coordinating devices and training, validating pilots, investigating data-quality issues, forecasting capacity and delivery, and verifying corrective actions. The role requires analyzing throughput, quality, capacity, and cost while documenting procedures, technical decisions, dependencies, and realistic delivery forecasts.

Leads strategic, cross-functional technical programs across Growth and the broader organization. Responsibilities include roadmap definition, organizational change management, executive alignment, risk and dependency management, launch execution, process improvement, and mentoring TPMs and engineering leads. The role requires technical credibility, autonomy, strong influence without direct authority, and experience transforming engineering organizations. Familiarity with AI/ML infrastructure, LLM products, large datasets, and AWS is advantageous.

Leads end-to-end delivery of strategic go-to-market technology programs spanning CRM, marketing automation, sales engagement, CPQ, and billing systems. Coordinates Business Technology teams, aligns scope and milestones, manages risks and dependencies, and provides executive-level program updates. The role requires delivering complex cross-functional programs, influencing senior stakeholders across business functions, and developing efficient AI-enabled program practices in a high-growth B2B SaaS environment.

Leads Windows Commercial Acceleration Engine’s customer and ecosystem insights motion. Owns engagement coverage, signal sources, learning loops, and mechanisms for capturing qualitative and quantitative feedback. Connects fragmented customer, partner, field, community, event, telemetry, and support signals into evidence-backed hypotheses. Maintains an insight backlog, identifies risks and opportunities, and briefs senior leaders on signal strength, confidence, and evidence gaps to support decision-making.

Leads cross-team coordination for Fetch’s data products and delivery infrastructure. The role manages dependencies, prioritization, engineering estimates, incidents, launch exceptions, delivery risks, ownership clarification, and roadmap intake across Sales, TAM, Solutions Engineering, Data Product, AMPS, and engineering teams. It also establishes operating cadences, documentation, risk tracking, and AI-enabled workflow automation while shaping a new partner operating model.

Lead global, cross-functional technical programs for Microsoft datacenter infrastructure. Develop multi-year strategies, manage dependencies, risks, governance, execution metrics, and operational readiness across distributed engineering teams. Optimize infrastructure utilization, scalability, availability, performance, security, and sustainable cloud operations. Partner with senior leaders and teams across engineering, operations, finance, and external stakeholders to pilot, scale, and deliver impactful infrastructure initiatives.

Leads a high-visibility consolidation program from business case through migration, launch, hypercare, and ongoing support. Coordinates Product, Engineering, Content, Go-to-Market, Architecture, Security, Infrastructure, business teams, vendors, and external partners. Manages plans, dependencies, risks, budgets, investments, readiness, stakeholder communication, and cross-functional execution while ensuring initiatives deliver measurable business value.

Leads strategic cloud capacity acceleration initiatives across engineering, networking, architecture, supply chain, operations, finance, and regional delivery. Builds governance, operating models, decision frameworks, and execution rhythms that improve delivery speed and predictability. Drives alignment, resolves systemic bottlenecks, develops executive narratives, and influences outcomes without direct authority. The role also develops leaders and scalable organizational capabilities across Microsoft’s global cloud infrastructure ecosystem.

Owns Azure cloud capacity management and region health programs. Partners with software and hardware engineering to design technical solutions, manage cross-functional roadmaps, define success metrics, mitigate risks, coordinate governance, develop implementation plans, validate use cases, write test cases, track performance, support customers, and lead customer engagements.

Leads complex, cross-functional technical programs across product, engineering, and business teams. Responsibilities include planning and execution, risk and dependency management, stakeholder communication, documentation, process improvement, status reporting, and alignment with organizational strategy. The role supports engineering teams, evaluates technical risks, manages Agile workflows, and influences outcomes without direct authority.

Lead and develop a team of Technical Program Managers responsible for Azure fleet lifecycle and cloud expansion programs. Drive strategy, cross-functional alignment, roadmap execution, governance, dependency management, reliability, supportability, and operational excellence across engineering, operations, data science, and compliance teams. Use metrics, experimentation, automation, and Generative AI to improve platform performance and business outcomes while influencing executives and fostering an inclusive, high-performing culture.

Owns and scales internal AI transformation solutions, workflow automations, operational tools, and business platforms. Responsibilities include managing technical program roadmaps, defining architecture and governance, integrating systems, coordinating troubleshooting and releases, establishing support models and documentation, improving AI-enabled workflows, and driving adoption. The role translates business needs into technical requirements and delivery plans while coordinating cross-functional stakeholders throughout the solution lifecycle.

Lead ESG automation programs, define strategic roadmaps, coordinate cross-functional engineering and stakeholder teams, and translate ESG reporting needs into technical requirements and delivery milestones. Ensure automation, data, reporting, security, compliance, and disclosure processes are reliable and audit-ready. Advise leadership, manage risks and dependencies, drive continuous improvement and innovation, monitor sustainability technology trends, and coach a team of technical program managers.

Lead end-to-end technical programs across multiple teams using Azure DevOps and Portfolio++. Define roadmaps, manage dependencies, run Agile ceremonies, surface and resolve risks, build PMO practices, and deliver executive-ready status and dashboards to ensure predictable, outcome-driven delivery.

Own the systems, tools, and processes supporting product delivery. Lead cross-functional execution, agile cadences, product operations, release validation, requirements, technical documentation, customer onboarding, and stakeholder communications. Develop product requirements, success metrics, dashboards, telemetry, and feedback loops to measure adoption and system health. Partner with engineering, data science, product, and customer-facing teams to improve delivery quality, scalability, and operational effectiveness.

Lead end-to-end operations for large-scale AI training supercomputers, coordinating engineering, datacenter, business, and customer teams. Manage infrastructure availability, training reliability, incident response, repair and recovery, maintenance, operational readiness, SLAs, and customer commitments. Identify operational risks, lead recovery from complex issues, and convert lessons learned into scalable improvements in observability, automation, tooling, and fleet operations.

Lead technical strategy, architecture, and multi-year roadmaps for networking supporting hyperscale AI training and inference infrastructure. Evaluate InfiniBand, RDMA, Ethernet, switches, optics, and interconnect technologies; translate AI workload needs into system requirements; influence suppliers and cross-functional stakeholders; and drive initiatives from proof of concept through qualification, production deployment, and lifecycle improvement. Establish performance and reliability metrics while resolving technical, operational, supply, and execution risks.

Leads enterprise security program planning and delivery across engineering, product, legal, and vendors. Manages timelines, budgets, resources, risks, dependencies, dashboards, and executive reporting for multiple concurrent initiatives. Coordinates incident response follow-up, improves cross-functional processes, and influences technical teams without direct authority. Requires strong communication, analytical, agile program management, and risk-assessment skills, with comfort operating during incidents and ambiguity.

Owns Anthropic’s Life Sciences Verification Program expansion, coordinating safeguards, platform, product engineering, access, data, and user experience workstreams. The role sequences cross-functional engineering efforts, manages dependencies and risks, removes technical blockers, establishes operating rhythms, coordinates launches, and converts recurring work into repeatable processes. It is an execution-focused technical program management role rather than a research position.

Lead sprint planning, delivery throughput, dependencies, timelines, prioritization, and resource allocation across a portfolio of generative AI products. Coordinate cross-site teams, manage technology-provider support requests, remove blockers, and produce recurring reports for technical and non-technical stakeholders. The role requires strong execution, communication, and program management discipline across concurrent initiatives.