Top Technical Program Manager Jobs

Own fleet-wide reliability and operations programs for a rapidly scaling AI cloud infrastructure platform. Establish reliability metrics, dashboards, OKRs, and success criteria; identify systemic gaps across compute, storage, networking, hardware, firmware, software, and operations; and lead cross-functional initiatives that improve fleet readiness, availability, utilization, and stability. Manage dependencies, risks, incident follow-ups, root cause actions, and executive communications while ensuring improvements scale with fleet growth.

Leads strategic, cross-functional technical programs for PSA’s grading operations software. Partners with engineering, product, design, and business stakeholders to prioritize initiatives, manage dependencies, communicate milestones, improve processes, support developer operations, and deliver complex releases. The role also develops organizational training, standardizes scalable processes, advocates for customers, and uses automation and AI tools to improve execution and business outcomes.

Lead complex infrastructure technology programs from planning through delivery. Develop project plans, manage resources and budgets, identify and mitigate risks, coordinate engineering, product, and business stakeholders, and align initiatives with business objectives. Apply analytical reasoning, Agile practices, and enterprise-authorized AI tools to improve program governance, planning, reporting, and risk management while validating AI-generated outputs and protecting sensitive information.

Leads complex, cross-functional technical transformation and planning programs across engineering, product, analytics, and other teams. Establishes data-driven operational frameworks, improves software delivery processes, manages risks and dependencies, aligns stakeholders, supports change adoption, and drives continuous improvement across the organization.

Lead global data center and carrier-services programs from sourcing and negotiation through deployment. Manage colocation, IP transit, dark fiber, and wave-service vendors; oversee contracts, service reviews, compliance, requirements, and delivery tracking. Partner with technical, product, and executive stakeholders while communicating complex infrastructure initiatives clearly. The role requires deep cloud, data center, infrastructure, and carrier-network expertise, strong vendor-management skills, and the ability to use AI tools to improve workflows and problem-solving.

Lead end-to-end technical programs across multiple engineering orgs: design a centralized intake, run execution and release reviews, coordinate cross-functional release readiness, replace manual tracking with JIRA-based SDLC structures, and drive delivery predictability and process maturity.

Leads complex, cross-functional technology programs on the ServiceNow platform. Responsibilities include developing strategic plans, managing resources, budgets, timelines, risks, dependencies, and stakeholders; validating AI-assisted program outputs; driving process improvements; establishing governance and decision-making procedures; and delivering executive-ready roadmaps, reporting, and recommendations across global operations.

Leads large-scale technical programs and builds highly scalable products and platforms. Responsibilities include identifying technical risks, guiding technology decisions with senior leadership, developing TPM teams and practices, simplifying complex technical issues, coordinating cross-functional stakeholders, and ensuring execution, accountability, and business impact across complex programs.

Leads complex, cross-functional technical programs from strategy through delivery. Establishes roadmaps, milestones, dependencies, governance, and delivery mechanisms across technical domains. Drives risk management, issue resolution, stakeholder communication, and measurable execution improvements. Partners with technical leaders on architecture, APIs, data flows, integrations, reliability, security, and operational readiness. Coordinates the safe integration and operation of AI/ML-enabled solutions and may mentor technical program professionals.

Leads complex Payments Technology programs supporting market expansion. Develops project plans, manages resources and budgets, coordinates engineering, product, and business stakeholders, identifies and mitigates risks, analyzes program performance, and champions agile delivery. Uses and validates enterprise-authorized AI capabilities for planning, risk synthesis, governance, and reporting while following data sensitivity requirements. The role also requires strong stakeholder influence, communication, vendor relationship management, and experience delivering initiatives across global teams.

Lead large, complex cross-functional programs from vision to delivery. Develop strategic roadmaps, governance, risk mitigation, resource allocation, and QA standards. Drive process improvement and AI-enabled project automation, manage stakeholder communications, and mentor project management talent to ensure alignment with corporate objectives and KPIs.

Leads end-to-end manufacturing new product introduction programs for consumer hardware, from prototype through mass production. Owns readiness across EVT, DVT, PVT, pre-production, and ramp; coordinates engineering, quality, supply chain, operations, suppliers, and contract manufacturers. Develops schedules, risk registers, issue tracking, validation plans, and operating cadences while driving factory readiness, process validation, yield, capacity, equipment deployment, and cross-functional issue resolution. The role is Boston-based and requires international travel up to 25%.

Leads complex global manufacturing programs spanning NPI, continuous improvement, factory readiness, capacity expansion, automation, and capital equipment. Coordinates Manufacturing, Engineering, Operations, Supply Chain, Quality, Finance, vendors, and manufacturing partners. Owns CapEx planning, budgeting, procurement, installation, validation, production readiness, risk management, schedules, reporting, and operational improvements. Requires international travel as needed and relocation to WHOOP’s Boston office.

Lead complex, cross-functional technical programs from ideation through delivery within the Engineering organization. Manage schedules, risks, metrics, resources, roadblocks, stakeholder alignment, and issue resolution across distributed teams. Establish effective processes, facilitate meetings, and drive accountability. The role requires extensive software development project leadership, agile experience, strong program management expertise, and understanding of financial systems, accounting, SaaS, and software development lifecycles.

Owns end-to-end government and industrial security program management, including ATO/RMF schedules, compliance artifacts, remediation tracking, cross-functional coordination, capacity planning, risk reporting, and executive communication. Partners with security engineering, GRC, IT, and mission teams to keep regulated workloads compliant and mission-ready. The role requires strong technical program management, federal security experience, Jira and Confluence fluency, U.S. citizenship, and eligibility for a security clearance.

Leads resiliency and reliability engineering programs, identifying and mitigating technical risks across delivery. Builds scalable, highly available distributed systems and cloud-based services; drives observability, incident response, disaster recovery, chaos engineering, and reliability initiatives. Owns technical vision, coordinates large cross-functional teams, removes blockers, and delivers business impact. Develops TPM talent, strengthens the TPM practice, and influences product, engineering, design, and data science decisions in a regulated environment.

Leads complex, cross-functional technical programs across platform services and engineering. Responsibilities include translating strategic priorities into roadmaps, managing dependencies and risks, establishing governance and success metrics, driving executive reporting, resolving systemic execution issues, aligning technical stakeholders, supporting platform adoption, and improving delivery practices across interdependent teams.

Lead complex, cross-functional technical programs across platform engineering, infrastructure, SRE, cloud operations, developer tooling, data pipelines, and core services. Develop roadmaps, manage dependencies and risks, establish governance and metrics, drive platform adoption, resolve systemic execution issues, and align engineering, product, and executive stakeholders. Deliver business reviews, executive reporting, and scalable program mechanisms while improving engineering execution across the organization.

Lead complex technology programs from planning through delivery, managing technical requirements, resources, budgets, timelines, risks, and cross-functional stakeholders. Apply analytical reasoning, Agile practices, and enterprise-authorized AI capabilities to improve planning, governance, reporting, and risk synthesis. Partner with engineering, product, and business teams to align deliverables with organizational goals, validate AI-assisted outputs, and drive continuous improvement. A development or SRE background and experience leading programs are required; Generative AI development experience is preferred.

Leads complex technology programs for marketing automation platforms, developing project plans, managing resources and timelines, mitigating risks, and coordinating engineering, product, and business stakeholders. Champions agile delivery, continuous improvement, AI-assisted governance, and data-driven optimization. Requires technical program management experience, stakeholder influence, programming knowledge, JIRA expertise, networking and infrastructure experience, firewall and ACM requests, Akamai and F5 familiarity, and knowledge of IP addressing and subnetting.

Leads complex, cross-functional technology programs from planning through delivery, managing roadmaps, budgets, dependencies, risks, governance, and stakeholder alignment. Translates business and technical needs into requirements and delivery artifacts, establishes operating cadences, tracks program health, supports adoption, and drives continuous improvement. Partners with engineering, architecture, infrastructure, security, operations, and compliance teams while applying AI capabilities to planning and reporting with appropriate validation and data handling.

Lead and coach an agile squad to deliver enterprise payment enablement projects. Facilitate scrum ceremonies, manage scope, dependencies, releases and delivery metrics, evaluate technical solutions, and represent the team to stakeholders while improving processes to accelerate delivery and quality.

Lead complex infrastructure technology programs from planning through delivery, managing technical requirements, resources, schedules, budgets, risks, vendors, and service-level reporting. The role supports compute, facilities, networking, and electronic trading infrastructure, including colocation and proximity builds. Responsibilities include executive reporting, stakeholder coordination, contract management, AI-assisted program planning, and delivery of resilient solutions in a high-controls environment.

Lead complex, end-to-end technical programs across product, engineering, data, and security teams. Translate strategic priorities into roadmaps, manage risks and dependencies, coordinate distributed teams, and align executive stakeholders. Drive AI platform, data, infrastructure, security, reliability, and enterprise adoption initiatives from inception through launch and continuous improvement while ensuring predictable execution and transparent communication.

Build and lead the company’s technical program management function from scratch. Establish project and launch review systems, prioritize work, identify risks and dependencies, lead critical software launches, and improve cross-functional delivery. Develop launch tools, AI agents, API integrations, automations, playbooks, and decision logs using information from Notion, Slack, Linear, and other systems. Partner with Engineering, Product, Marketing, Legal, Sales, customers, and external partners to improve adoption and shipping speed.