Top Remote Technical Program Manager Jobs

Leads complex, enterprise-scale technology deployments for strategic and global customers from planning through adoption. Owns scope, schedules, risks, dependencies, change management, and cross-functional alignment across Product, Engineering, Sales, Services, customers, and partners. The role requires executive communication, decision-making in ambiguous environments, process improvement, and mentoring while delivering reliable outcomes in high-stakes settings.

Owns complex customer-facing technical programs from presales engagement through implementation and handoff. Coordinates account, product, engineering, test, services, and leadership teams; translates requirements into plans; manages intake, prioritization, risks, dependencies, reporting, escalations, and delivery commitments. The role requires influencing without authority in a matrixed environment, improving operational processes and tooling, and communicating program status to executive stakeholders.

Leads execution across mixed-signal R&D and IR&D programs involving RF, FPGA/firmware, software control, integration, and testing. Maintains schedules, dependencies, engineering cadence, risks, decisions, deployments, logistics, export compliance, inventory, financial tracking, and reporting. Coordinates technical teams, government representatives, vendors, international partners, and deployment personnel while supporting architecture trade studies and contingency planning. Requires cross-disciplinary program management experience, defense or SATCOM familiarity, international travel, and U.S. security clearance eligibility.

Leads HR technology program delivery for Global Mobility and Talent Management. Defines product direction, requirements, user stories, and backlog priorities; runs Agile sprints; coordinates contingent workers; collaborates with development, UX, architecture, cybersecurity, and business stakeholders; manages vulnerabilities, application operations, incidents, vendors, SLAs, releases, and renewals; and communicates risks, decisions, and delivery status to leadership.

Leads AI initiatives from concept through deployment, adoption, and ownership. Translates priorities into technical plans, coordinates dependencies across engineering and product teams, drives decisions, manages risks, defines evaluations, and ensures deployment readiness. Establishes support and monitoring ownership, partners with security and governance teams, and converts project learnings into reusable delivery standards.

Lead AI initiatives from concept through deployment and adoption. Translate priorities into technical plans, coordinate dependencies across engineering and business teams, drive decisions, manage risks, oversee evaluations and deployment readiness, establish support ownership, and ensure solutions deliver measurable outcomes. The role also requires hands-on technical fluency with Python, SQL, APIs, LLM SDKs, data pipelines, agent systems, and evaluation practices.

Leads AI initiatives from concept through deployment, adoption, and ownership. Responsibilities include creating technical plans, coordinating dependencies across engineering and business teams, driving technical decisions, managing risks and blockers, coordinating evaluations and deployment readiness, establishing support and monitoring ownership, and ensuring AI governance reviews. The role requires hands-on technical fluency, LLM and agent evaluation knowledge, operational rigor, and strong cross-functional communication.

Leads AI initiatives from concept through deployment and adoption. Develops technical plans, coordinates dependencies across engineering and product teams, drives decisions, manages execution risks, oversees evaluations and deployment readiness, and establishes ownership for monitoring and maintenance. Requires hands-on fluency with Python, SQL, APIs, LLM SDKs, data systems, agent orchestration, testing, and evaluation. Partners with AI security and governance teams in a fintech environment.

Drive AI initiatives from concept through deployment, adoption, and ownership. Translate priorities into technical plans, define milestones and success metrics, coordinate cross-functional dependencies, guide technical decisions, manage risks and blockers, oversee evaluations and deployment readiness, and establish support and monitoring ownership. The role requires hands-on technical fluency, agent and evaluation expertise, operational rigor, and strong communication across business and engineering teams.

Leads AI initiatives from prioritization through deployment, adoption, and ownership. Responsibilities include creating technical plans, coordinating cross-functional dependencies, driving engineering decisions, managing execution risks, coordinating evaluations and deployment readiness, establishing support ownership, and partnering on AI security and governance reviews. The role requires hands-on technical fluency, LLM and agent evaluation knowledge, operational rigor, and strong cross-functional communication.

Lead technical initiatives supporting Responsible AI through hands-on development, automation, reporting, business analysis, and program management. Build and maintain Power Apps, Power Automate workflows, Dataverse solutions, and Power BI dashboards. Translate business requirements into technical solutions, improve processes, troubleshoot complex issues, manage dependencies and stakeholders, and support AI governance, impact assessments, privacy, security, and risk evaluation.

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

Run delivery programs for large-scale GPU cluster builds. Own integrated plans covering site readiness, procurement, logistics, deployment, and acceptance; track vendor schedules, dependencies, risks, power and cooling readiness, and team handoffs. Provide concise status reporting to leadership and customers, develop scalable program tracking tools, and create processes, templates, checklists, and post-build reviews to improve future deployments.

Leads large-scale AI, digital, and cloud transformation programs from strategy through launch and realized business value. The role coordinates concurrent Agile teams, technical direction, architecture discussions, AI lifecycle governance, risk management, KPIs, stakeholder communication, staffing, and executive decision-making. It requires translating business goals into technical plans, managing complex dependencies and trade-offs, mentoring delivery leaders, and shaping delivery practices while partnering with clients on growth opportunities.

Lead New Product Introduction and technical sales enablement programs for Splunk across platform, security, and observability domains. Govern intake models, launch tiering, and stage-gate processes from Alpha through General Availability. Coordinate Product, Engineering, Technical Marketing, and Field Sales teams to prepare Solutions Engineers and Architects for launches. Develop structured enablement content, use AI tooling to improve workflows, and track readiness metrics and reporting.

Leads New Product Introduction and technical sales enablement programs for Splunk across platform, security, and observability domains. Governs intake and launch-tiering frameworks, coordinates Product, Engineering, Marketing, and Field Sales, and ensures Solutions Engineers and Architects are ready from Alpha through General Availability. Develops structured enablement content, uses AI tooling to improve workflows, tracks program progress, and creates metrics and reporting to support launch readiness and market impact.

Leads cross-functional technical programs connecting enterprise customer needs, field insights, and engineering execution across Microsoft’s security portfolio. Defines roadmaps, metrics, dependencies, and accountability; translates customer problems into engineering requirements; drives product improvements, deployment readiness, and adoption. Uses SQL, telemetry, dashboards, and operational data to establish decision systems and measure outcomes. Partners across engineering, product, security, field, and business teams while managing risks, influencing executives, and creating scalable operating mechanisms.

Own complex public cloud programs from planning through rollout, coordinating engineering, infrastructure, SRE, security, product, and support teams. Translate product and engineering priorities into execution plans, manage dependencies and risks, coordinate launches across cloud services, establish delivery cadences, and define launch success metrics. The role requires strong cloud infrastructure, distributed systems, GPU, machine learning platform, and Kubernetes knowledge, along with the ability to influence cross-functional teams without direct authority.

Leads global, cross-functional programs implementing and standardizing A/V, corporate networking, and on-prem IT across office builds, expansions, renovations, and moves. Responsibilities include planning, budgeting, vendor management, site surveys, architectural markups, risk and dependency management, technical deployment oversight, documentation, security compliance, metrics, and stakeholder communication.

Own complex public cloud programs from planning through rollout, coordinating engineering, infrastructure, product, security, SRE, and support teams. Translate strategy into execution plans, manage dependencies and risks, establish delivery cadences, oversee launch readiness, and measure post-launch success. The role requires strong understanding of cloud services, infrastructure architecture, distributed systems, GPU platforms, and Kubernetes, plus the ability to influence multiple teams without direct authority.

Manage multiple high-visibility technical security programs and incident-response engagements. Coordinate customer and internal resources, communicate objectives, produce incident and process-improvement reports, establish repeatable processes, triage feature requests, support logistics and operations, and assist with training and new offerings. The role requires cross-functional collaboration, handling ambiguity, and responding effectively during security crises while maintaining awareness of Microsoft security tools and processes.

Lead cross-functional technical program teams delivering SaaS customer implementations on time and with high quality. Own project plans, status reporting, risks, metrics, and quality indicators. Coordinate technical analysis, design, development, testing, implementation, and post-implementation activities. Improve processes through automation, identify product enhancements, gather user requirements, define scope, and establish effective relationships across multidisciplinary teams and B2B customers.

Lead technical programs for Modular’s platform engineering organization, coordinating build, test, release, and continuous deployment infrastructure across compiler, runtime, kernel, cloud, and product teams. Establish planning and reporting cadences, manage dependencies and risks, define developer-experience metrics, coordinate migrations and rollouts, improve infrastructure reliability, and partner with Security on CI/CD integrity, artifact isolation, signing, provenance, and access control.

Owns intake, triage, delivery tracking, release reporting, and workflow automation across central services, DevOps, and data teams. Leads contract engineers, manages planning and retrospectives, builds cross-functional dashboards, automates status updates through APIs, and communicates delivery health and decisions. The role requires a technically experienced program manager who can read and write software, use AI tools, lead engineers, and improve delivery processes in a real-money gaming environment.

Manage multiple concurrent new product introduction and production ramp-up projects from scope through closeout. Develop schedules, budgets, risk mitigation plans, status reporting, phase-gate reviews, and change control processes. Lead cross-functional, global teams across engineering, manufacturing, supply chain, quality, finance, and commercial functions without direct authority. Drive accountability, resolve roadblocks, align stakeholders, ensure deliverables meet requirements, and improve project management standards.