Top Technical Program Manager Jobs in NYC, NY

Leads large-scale technical programs and platform initiatives aligned with business objectives. Establishes TPM operating models, maturity frameworks, tooling, roadmaps, and delivery mechanisms across portfolios. Drives architectural alignment, platform standardization, dependency sequencing, risk escalation, and measurable outcomes involving availability, scalability, cost efficiency, and developer velocity. Influences senior technology leaders, manages cross-functional commitments, and develops TPM capabilities across the organization.

Lead cross-functional technical programs spanning data center operations, supply chain, finance, and IT. Own integrated plans, dependencies, risks, delivery cadence, migrations, DCIM deployments, telemetry improvements, system integrations, testing, go-live readiness, and operational handoffs. Coordinate business owners, product, engineering, facilities, data teams, suppliers, and senior stakeholders to deliver reliable systems and scalable execution mechanisms across multiple sites.

Leads complex technical programs, platform transformations, and cross-functional initiatives. Owns program execution frameworks, roadmaps, dependency mapping, risk escalation, governance, metrics, dashboards, and executive communications. Partners with engineering and product leaders on scalable, resilient, cloud-native platforms and coordinates stakeholders across business lines. Also helps expand the technical program management discipline through organizational guidance and mentoring.

Leads end-to-end delivery of hyperscale data center builds and capacity expansions. Owns program plans, schedules, requirements, risks, budgets, KPIs, and executive reporting while coordinating Engineering, Supply Chain, and Data Center Operations. Establishes scalable delivery processes and SLAs, resolves technical and logistical issues, and drives commissioned infrastructure from planning through operational handoff.

Owns complex, cross-functional technical programs spanning multiple engineering teams and product domains. Drives planning cadences, multi-quarter platform initiatives, sequencing, milestones, dependencies, reporting, risk management, architectural tradeoffs, and executive communication. Partners with engineering, product, design, analytics, and go-to-market leaders to deliver scalable, reliable, multi-tenant SaaS capabilities and improve program execution across the business unit.

Owns fleet-wide reliability and operations programs for a large-scale AI cloud infrastructure environment. Establishes reliability metrics and dashboards, aligns engineering and operations teams on OKRs, identifies systemic infrastructure gaps, leads cross-functional improvement programs, manages dependencies and risks, and drives incident follow-up and corrective actions. Requires strong technical aptitude across compute, storage, networking, hardware, software, and SRE, plus experience managing programs in rapidly scaling cloud or infrastructure environments.

Lead complex, cross-functional strategic initiatives from scoping through implementation, adoption, and stabilization. The initial focus is a Workday implementation, requiring coordination across business teams, technical specialists, senior stakeholders, and external partners. Responsibilities include defining outcomes and delivery plans, managing dependencies and risks, evaluating technical options, leading change adoption, coordinating testing and rollout, measuring value, and establishing sustainable ownership.

Own technology portfolio planning, investment governance, executive reporting, data quality, risk controls, audit readiness, and process improvement. Partner with Engineering, Product, Finance, and business stakeholders to manage priorities, budgets, dependencies, and delivery health. Lead adoption and governance of AI-enabled and agentic workflows with human validation, traceability, security, and operational risk controls.

Lead complex, cross-functional technical programs for Runpod’s distributed AI cloud platform. Partner with engineering, SRE, product, data, supply, and data center teams to plan delivery, manage dependencies, identify technical risks, support architecture and rollout reviews, define success metrics, and ensure launch readiness. The role requires hands-on distributed systems and cloud infrastructure knowledge, strong communication, quantitative analysis, and experience driving programs from planning through launch.

Leads complex technical programs and cross-platform initiatives across Capital One’s card technology portfolio. Establishes TPM operating models, roadmaps, maturity frameworks, and scalable tooling; aligns architecture and dependencies; manages risks and executive escalations; and drives measurable platform outcomes across engineering teams. Requires strong experience with distributed systems, cloud architecture, Agile delivery, regulated environments, organizational influence, and large-scale technical program execution.

Leads complex technical programs supporting card technology and digital commerce platforms. Establishes TPM operating models, maturity frameworks, and tooling; develops roadmaps; aligns architecture and cross-platform investments; manages dependencies and delivery accountability across engineering teams; and escalates risks to executives. The role defines measurable platform outcomes, drives standardization and reuse, influences tradeoffs among speed, cost, and resiliency, and helps build the organization’s TPM discipline.

Lead complex, cross-functional technology programs for the Cards business. Develop strategic plans, manage resources, budgets, timelines, dependencies, risks, and roadblocks, and align stakeholders across the firm. Use enterprise-authorized AI tools to support planning, risk analysis, governance, and executive reporting while validating outputs and protecting sensitive data. Drive continuous improvement, process optimization, change management, and technology adoption across global operations.

Leads complex, cross-functional technical programs across engineering organizations, owning strategy, execution, dependencies, roadmaps, and operational excellence. Uses Python, SQL, dashboards, and automation to analyze systems and guide decisions. Partners with engineering and product leaders on architecture and technical trade-offs, drives reliability and performance initiatives, improves internal platforms, and mentors TPMs and engineers.

Leads large-scale, technically complex programs across enterprise platforms. Drives roadmaps, architectural alignment, platform consolidation, dependency resolution, risk escalation, and measurable outcomes across engineering teams. Establishes TPM operating models, maturity frameworks, and tooling while influencing technology leaders and translating technical tradeoffs into business outcomes.

Leads end-to-end new product introduction for next-generation GPU, CPU, and storage hardware and firmware. Owns program plans, roadmaps, schedules, risks, budgets, quality metrics, firmware development and release processes, and production ramps. Coordinates Product, Hardware, Firmware, Software, Supply Chain, Manufacturing, Quality, and Operations teams while communicating status and decisions to senior leadership. Requires strong knowledge of BIOS, BMC, CPLD, GPU architectures, semiconductor processes, board design, power, thermal management, and system integration.

Lead governance and controls for large-scale technology programs across Business Banking Technology. Manage risks, audits, remediation commitments, dependencies, and executive reporting while coordinating engineering, product, controls, compliance, and audit stakeholders. Develop program plans, governance routines, action plans, and leadership materials. Drive issue resolution, continuous process improvement, change adoption, and AI-assisted program management practices with appropriate validation and data handling.

Leads complex technology programs across Business Banking Technology, establishing plans, governance, milestones, controls, and accountability. Coordinates engineering, product, architecture, controls, and business stakeholders; manages risks, issues, dependencies, decisions, and execution reviews. Prepares executive communications and reporting, supports organizational change, and uses validated AI-assisted practices to improve program planning, governance, and risk synthesis.

Leads complex technology programs from planning through delivery, managing technical requirements, resources, budgets, timelines, risks, and cross-functional stakeholders. Develops project plans, resolves roadblocks, analyzes program performance, drives data-informed improvements, and promotes agile methodologies. The role also manages vendor relationships, aligns technology initiatives with business objectives, and supports innovative workplace technology solutions.

Leads planning and delivery for complex technical programs across the payments portfolio. Owns roadmaps, forecasts, budgets, headcount, dependencies, risks, milestones, and executive reporting. Partners with Product, Engineering, Operations, Finance, architects, and technical leaders to align priorities, remove blockers, manage trade-offs, and deliver business outcomes. Requires strong influence without authority, analytical problem-solving, communication, and comfort operating across ambiguous, global, cross-functional environments.

Leads complex technical programs and GenAI initiatives across engineering, product, and business teams. Responsibilities include project planning, resource and budget management, risk mitigation, stakeholder influence, performance analysis, operational improvement, and delivery of AI and data platform initiatives. The role requires technical fluency, strong analytical reasoning, vendor management, and expertise across the AI and data product lifecycle.

Leads enterprise technical programs and cross-platform investment planning, aligning roadmaps, architecture, dependencies, risks, and measurable platform outcomes. Establishes TPM operating models, maturity frameworks, tooling, and delivery accountability across engineering teams. Serves as an executive escalation point, influences tradeoffs involving speed, cost, and resiliency, and develops TPM capabilities across the organization. Requires extensive experience managing complex technical programs, distributed systems, cloud platforms, Agile delivery, and highly regulated environments.

Lead technical programs delivering GPU and CPU compute fleets from infrastructure handover through provisioning, validation, operational acceptance, and steady-state operations. Translate customer and business requirements into delivery plans, manage dependencies and blockers, assess capacity gaps, drive prioritization, establish readiness criteria, and coordinate cross-functional engineering and operations teams. Define delivery metrics, improve forecasting, and identify tooling, automation, and process improvements to increase provisioning throughput and operational readiness.

Own end-to-end technical programs scaling Anthropic’s Claude inference serving fleet across accelerator and cloud platforms. Drive capacity expansion, reliability, migrations, developer productivity, performance, efficiency, and model-launch readiness. Coordinate production, research, safeguards, infrastructure, security, compute, networking, and external partners while balancing cost, latency, utilization, and reliability. Build lightweight program mechanisms, manage cross-functional dependencies, and ensure measurable outcomes in large-scale distributed systems.

Own strategy and execution for complex, cross-functional programs spanning Customer Operations and Brand Marketing. Connect marketing, customer experience, product, and engineering teams; prioritize initiatives; manage roadmaps, timelines, risks, metrics, and organizational processes. Drive operational improvements, AI-enabled workflows, and scalable frameworks while coaching TPM teammates and contributing to company-wide planning.

Manage customer-specific engineering work from intake through delivery, including data integrations, configurations, fixes, and RFP responses. Partner with Account Management, Sales Engineering, Product, and Engineering to scope, prioritize, and track requests, risks, dependencies, and timelines. Establish repeatable intake and prioritization processes, keep stakeholders informed, and convert recurring customer needs into product requirements and scalable features.