Top Remote Technical Program Manager Jobs

Leads enterprise technology governance, cybersecurity compliance, risk, data governance, disaster recovery readiness, third-party risk, audit coordination, and control automation. Manages teams and partners cross-functionally to modernize security frameworks, maintain audit readiness, govern emerging technologies including AI, and drive remediation and resiliency improvements across the bank’s technology and BaaS ecosystem.

Lead cross-functional platform integration programs, mapping dependencies across hardware, embedded software, autonomy, safety, and operations. Define integrated plans, track VnV and test campaigns, surface risks with data-backed mitigation options, own executive reporting, and build scalable processes, tooling, and dependency maps to deliver milestones on time at fleet scale.

Lead and deliver high-ambiguity, multi-team AI product programs from concept to production. Align engineering, applied science, product, and external partners; plan milestones, manage dependencies, and create decision-ready communications. Build lightweight program rituals, evaluate technical/business tradeoffs, and guide ML lifecycle execution for generative AI, search, discovery, and new content modalities.

Lead end-to-end execution of IP, ASIC, and chiplet platform programs from architecture through production readiness. Build and manage integrated schedules, drive critical-path closure, coordinate cross-functional engineering teams, manage vendors and customers, mitigate risks, control budget and resources, run technical reviews, and report program health to executives while improving program processes and tooling.

The Technical Program Manager will oversee Stripe's Extensibility program, driving cross-functional collaboration, managing complex integrations, and aligning product and engineering roadmaps for successful delivery.

Lead cross-functional technology programs from strategy through execution, drive cloud cost optimization and operational excellence, partner with finance and engineering, implement AI-enabled automation, and deliver measurable outcomes and governance for Central Technology.

Lead end-to-end delivery of high-impact AI Platform and Data Systems programs: define scope, plan milestones, track dependencies, manage risks, align executives, use AI to automate program workflows, and drive continuous improvement across cross-functional engineering teams.

The role involves leading the deployment of an AI manufacturing platform, coordinating factory integration, cross-functional execution, and ensuring operational success.

Support downstream program management for autonomous aerial platforms from first flight through customer handoff. Keep schedules and milestones on track, align engineering with sales/contracts, support field handoffs and exercises, get hands-on with platforms (including flying), translate field learnings to engineering and product teams, and coordinate cross-functional stakeholders.

Manage downstream program delivery for aerial platforms from first flight through customer handoff. Drive schedules, align engineering and sales, review statements of work, perform field testing (including flying), and translate field feedback into engineering and product actions.

Lead technical delivery of autonomous vehicle deployments across multiple US logistics sites. Define scope, schedules, budgets, risks, and stakeholder communications while coordinating on-site support. Support deployments with technical troubleshooting, test-case definition, and occasional bug-fix coding to ensure safety, performance, and customer satisfaction.

The Adobe Commerce Technical Program Manager leads multi-solution Adobe Experience Cloud programs, coordinating cross-functional teams and ensuring effective delivery management and governance.

Own end-to-end release cadences for open-source and managed cloud products. Coordinate engineering, product, QA, DevOps, docs, and customer success. Define quality gates, build release automation and runbooks, mitigate release risks, serve as release contact, and run retrospectives to drive continuous improvement.

The Program Manager for Deployments will lead large-scale AI infrastructure projects, coordinating between teams, managing deployments, and maintaining project documentation.

Lead technical execution for robotics, autonomy, software, hardware, and defense programs. Own schedules, risks, dependencies, integration and test planning, field testing, stakeholder communication, and delivery of mission-ready systems while coordinating cross-functional engineering and customer teams.

The role involves integrating AI supercomputing systems into datacenters, collaborating with engineering teams, and producing documentation for processes related to datacenter integration and fit-out.

Manage end-to-end technical programs for cryomechanical and quantum system integration, driving R&D through prototype delivery. Build program plans, manage critical paths, risks, budgets, BOM/PLM/configuration control, supply chain and NPI activities, coordinate suppliers and contract manufacturers, and ensure production ramp and certification readiness for early customer deployments.

Lead and mentor TPMs to deliver AI platform initiatives across search relevance, recommendation systems, and ML infrastructure. Align stakeholders, define measurable success criteria, manage risks and dependencies, drive execution, and present outcomes to senior leadership. Partner with ML, infrastructure, and product teams to shape technical direction and accelerate data-driven AI initiatives.

Own and drive enterprise customer programs from onboarding to adoption, coordinating cross-functional teams (FDE, Product, Engineering), tracking status and blockers, engaging with SRE/cloud/security stakeholders, and ensuring timely completion of integrations, security reviews, and deliverables while building repeatable processes and clear customer communication.

Lead enterprise imaging IT programs: create and manage plans, budgets, risks, and executive communications; coordinate cross-functional teams, vendors, testing, cutovers, and go-lives; support AI/ML imaging initiatives, integrations, change management, and post-go-live stabilization.

Lead program delivery for engineering teams at Arine, optimizing internal processes and ensuring timely execution of technical programs while facilitating Agile methodologies.