Top Technical Program Manager Jobs

Own MongoDB’s IT audit and governance program across applications, infrastructure, cloud, and business systems. Lead SOX ITGC and ITAC compliance, control design, evidence, readiness testing, remediation, audit coordination, and framework harmonization. Partner with IT, Finance, Legal, Internal Audit, and external auditors while driving accountability across teams. Establish governance standards, automate controls, reduce audit burden, and report risks and findings to senior leadership and the Audit Committee.

Leads end-to-end technical programs for scalable AI inference platforms, including customer onboarding, launch readiness, reliability, runtime optimization, release validation, and operational excellence. Coordinates engineering, product, infrastructure, and go-to-market teams while establishing metrics, dashboards, launch gates, review cadences, and postmortem processes. Drives predictable delivery and measurable improvements in latency, throughput, uptime, price-performance, supportability, and customer outcomes.

Leads cross-functional software implementation delivery for 2–3 concurrent customer projects. Owns Jira schedules, scope, technical build timelines, risks, dependencies, standups, process documentation, and go-live coordination across product, engineering, design, QA, architects, and analysts. Partners with management on metrics, dashboards, bug management, release processes, and workflow standardization.

Own multiple complex technical and cross-functional programs across Engineering, Product, and Design. Partner with senior leaders to drive planning, prioritization, delivery, operating rhythms, risk management, executive communications, and strategic initiatives. Translate ambiguous problems into action plans, align resources with company priorities, and improve processes through automation.

Own and coordinate cross-functional fraud and abuse prevention programs across Trust and Safety, Security, Engineering, Product, Legal, and Finance. Translate abuse trends into prioritized defenses, business cases, metrics, and implementation plans. Partner on payment fraud, chargebacks, account verification, AI-based risk detection, and incident escalation. Drive initiatives to completion without direct authority while balancing fraud risk with legitimate-user experience.

Leads complex semiconductor and engineering development programs from definition through integration, validation, and delivery. Owns project execution, schedules, dependencies, risks, resources, scope changes, metrics, and recovery plans. Coordinates cross-functional engineering teams and technical leads across disciplines and locations, resolves delivery challenges, influences stakeholders without direct authority, and communicates progress and trade-offs to senior leadership. Projects may involve semiconductor IP, SoCs, FPGAs, emulation platforms, boards, validation, and hardware/software enablement.

Leads complex technology programs for the Payments organization, managing project plans, resources, dependencies, risks, budgets, and delivery schedules across applications and platforms. Partners with engineering, product, and business teams to drive implementations, maintain production stability, and align initiatives with business objectives. Uses enterprise-authorized AI capabilities to support planning, risk synthesis, governance, and executive reporting while validating outputs and following data-handling requirements.

Leads strategic, cross-functional security programs with executive visibility and complex dependencies. Establishes standardized program-management practices, roadmaps, metrics, risk management, decision processes, and reporting across the Global Security Office. Drives alignment, resolves trade-offs, improves execution through automation and AI-enabled workflows, and connects security initiatives to company goals, customer trust, resilience, and business outcomes.

Owns end-to-end technical program management for complex, cross-functional product and engineering initiatives. Responsibilities include developing charters and roadmaps, tracking milestones and risks, coordinating product and engineering priorities, resolving blockers, reporting to leadership, and improving program management frameworks. The role requires technical fluency in software development, architecture, APIs, cloud platforms, and AI tools, plus strong stakeholder communication and ownership.

Leads large-scale infrastructure and platform programs across engineering, operations, security, architecture, and product teams. Responsibilities include integrated planning, governance, risk and dependency management, executive communication, demand prioritization, Agile delivery, change controls, and continuous improvement. The role requires technical fluency in distributed systems and experience delivering programs in regulated environments, while using enterprise-authorized AI to improve planning, reporting, and risk synthesis.

Leads complex technology programs from planning through delivery, managing scope, timelines, resources, budgets, risks, dependencies, and stakeholder alignment. Partners with engineering, product, and business teams to drive agile execution, portfolio planning, capacity management, roadmap development, continuous improvement, and technology modernization. Uses and validates enterprise AI tools for planning and governance while ensuring data sensitivity and delivery standards. Oversees quality, testing, release readiness, and risk mitigation across large-scale technology initiatives.

Leads complex, cross-functional technical programs from planning through launch and sustaining phases. Coordinates hardware, firmware, software, product, operations, quality, supply chain, and external partners. Establishes plans, milestones, dependencies, risks, decision points, and success measures; drives launch readiness, phase-gate reviews, stakeholder alignment, and go/no-go decisions. Improves program processes and communicates status, tradeoffs, and recommendations to leadership.

Lead strategy and execution for an open-weight LLM inference platform. Manage GPU capacity, inference optimization, model migrations, availability, benchmarking, governance, cost efficiency, and model selection. Translate business goals into technical priorities, develop roadmaps and cost models, and coordinate engineers, architects, security, legal, finance, product, and external cloud or GPU partners.

Leads complex, cross-functional technical programs spanning cloud operations, build and deployment platforms, code management, CI/CD, data governance, and infrastructure cost management. Translates business goals into technical plans, manages dependencies and risks, coordinates architecture discussions, establishes operational metrics, and aligns engineering, finance, platform, and executive stakeholders through multi-quarter initiatives.

Lead complex technology and SDLC programs across engineering teams, managing plans, resources, risks, dependencies, stakeholders, and delivery timelines. Drive vulnerability remediation, lifecycle management, standardized development practices, and release planning. Use validated AI-assisted governance and reporting while aligning technology initiatives with business objectives, security requirements, and engineering standards.

Leads complex, cross-functional technical programs across software engineering, product, and platform teams. Responsibilities include managing schedules, milestones, resources, dependencies, risks, Agile execution, delivery metrics, releases, and executive communications. The role translates business and technical requirements into execution plans, resolves technical roadblocks, improves engineering processes, and drives successful product integration through the software development lifecycle.

Own end-to-end technical program delivery from inception through production. Coordinate engineering, product, finance, modeling, and business teams; define scope, sequencing, dependencies, metrics, and execution plans. Remove blockers, lead Agile rituals, report program health and risks, adapt priorities, and improve TPM practices, standards, and tooling. Translate complex technical concepts for stakeholders and influence across teams without direct authority.

Leads end-to-end integration and execution of on-orbit test campaigns for integrated spacecraft systems. Coordinates engineering, production, supply chain, launch, range, customer, and government stakeholders; manages schedules, risks, readiness reviews, facilities, logistics, and test procedures. Serves as mission campaign manager and primary execution lead, ensuring safe test operations, resolving issues, and directing post-test data assessment and anomaly triage. Requires aerospace or defense testing experience, security-clearance eligibility, and 15–20% travel to test sites.

Leads technical data integration and analysis across subsystem, ground, and flight-test programs. Develops analysis plans, data products, processing workflows, and visualizations; validates telemetry and instrumentation data; compares measured performance with requirements and simulations; supports anomaly investigation; and synthesizes system-level conclusions. Coordinates engineering, test, modeling, simulation, and external stakeholders while producing technical reports, executive briefings, and traceable analysis documentation.

Leads end-to-end integrated system test campaigns for aerospace and missile defense systems, coordinating engineering, production, supply chain, range operations, and external stakeholders. Owns test planning, readiness, schedules, risks, costs, facility logistics, execution cadence, data integrity, anomaly triage, and post-test assessments. Serves as the test campaign mission manager and primary on-site execution leader, ensuring safe and effective ground and flight test operations.

Manages large and complex technical programs from planning through implementation. Develops roadmaps, budgets, charters, schedules, KPIs, and process controls; coordinates cross-functional teams, vendors, resources, risks, dependencies, reporting, and program changes. Partners with Engineering, Design, and Product teams to deliver initiatives aligned with business objectives, regulatory standards, time, cost, and scope requirements.

Leads complex Mission Solutions programs supporting US Navy ship integration, sustainment, and Foreign Military Sales. Manages cost accounts, budgets, labor, supply chain, compliance, contracts, risks, testing, and global cross-functional teams. Oversees international customer and supplier relationships, presents program status to senior leadership, supports business growth and proposals, and coordinates staffing and operational decisions. Requires extensive program management, supervisory, international logistics, contractual, and naval ship sustainment experience.

Lead complex technology programs across infrastructure platforms, aligning engineering roadmaps, OKRs, resources, budgets, and business objectives. Partner with senior leaders, product owners, engineers, and cross-functional stakeholders to manage delivery, risks, governance, and executive reporting. Apply analytical reasoning, agile practices, change management, and enterprise-authorized AI tools to improve planning and program execution while validating outputs and protecting sensitive data.

Lead complex cybersecurity due diligence programs across mergers, acquisitions, and enterprise integration efforts. Coordinate architects, engineers, legal teams, and business leaders; translate technical risks into executive recommendations; develop governance, dashboards, KPIs, and reporting; facilitate risk decisions; and establish repeatable assessment frameworks. The role requires strong program management, cybersecurity knowledge, dependency and risk management, presentation design, and data visualization skills.

Leads complex, cross-functional technical programs for Mastercard’s Transaction Lookup Services platform. Coordinates Engineering, Data, Architecture, Operations, Security, regional teams, and business stakeholders; manages plans, dependencies, risks, delivery metrics, testing, launch readiness, and operational handoff. The role requires technical understanding of APIs, microservices, distributed systems, cloud platforms, data flows, security, compliance, and payments. Uses SQL and analytical tools to investigate issues and validate outcomes, while evaluating practical AI opportunities.