Top Technical Program Manager Jobs in Boston, MA

Lead cross-team technical programs for Azure Storage: define roadmaps, coordinate execution, design technical solutions, identify risks and mitigations, validate use cases and tests, collect metrics, and drive customer and stakeholder engagement.

Drive complex robotics programs spanning hardware, software, and systems teams. Manage dependencies, execution plans, timelines, milestones, Agile coordination, validation, deployment readiness, and cross-functional stakeholder alignment. Partner with engineers on robotics architectures, services, algorithms, motion planning, navigation, lab bring-up, work-cell testing, and performance KPIs. Support new product development and sustaining engineering across multiple robotic product lines.

Lead end-to-end technical programs across multiple teams using Azure DevOps and Portfolio++. Define roadmaps, manage dependencies, run Agile ceremonies, surface and resolve risks, build PMO practices, and deliver executive-ready status and dashboards to ensure predictable, outcome-driven delivery.

Leads the integrated program for a Physical AI team, coordinating hardware builds, lab readiness, validation, engineering milestones, dependencies, risks, and cross-team decisions. Establishes planning cadences, dashboards, reporting processes, RACI frameworks, and program-management tools. Translates technical status into leadership updates, drives mitigation plans and accountability, facilitates hardware-software tradeoffs, and manages scope changes across engineering, operations, supply chain, facilities, IT, and external partners.

Own end-to-end technical program management for pricing and manufacturability initiatives, including auto-quote pricing, DFM, Drawing AI, and ML model delivery. Establish scalable TPM processes, coordinate engineering, product, data science, operations, sales, and finance teams, manage risks and dependencies, oversee staged rollouts and production monitoring, and communicate progress and trade-offs to executives. The role also shapes TPM best practices, mentors future hires, and drives continuous improvement across complex software and ML programs.

Lead cross-functional technical programs to build and scale knowledge infrastructure for self-service, internal support, and AI-assisted discovery. Translate knowledge strategy into technical specs, APIs, schemas and delivery plans. Drive roadmap, dependency management, risk escalation, and launch-readiness while improving automation, metadata, CMS, and machine-readable knowledge to reduce manual work and scale support operations.

Lead technical programs for branded card products, including launches, enhancements, and digital wallet integrations. Manage roadmaps, timelines, budgets, risks, dependencies, and stakeholder communication across engineering, QA, product, risk, compliance, and design teams. Track milestones using Jira dashboards, resolve cross-functional issues, report progress, and improve delivery processes. The role requires strong software development knowledge, Agile experience, database querying skills, cloud familiarity, and understanding of microservices architecture.

Leads complex, cross-functional technical programs across Salesforce, product, and go-to-market teams. Owns initiatives from strategy and scoping through delivery, launch, and adoption; builds roadmaps, governance, reporting, and operating cadences; manages dependencies, resources, risks, and trade-offs; and presents recommendations to senior leadership. Partners with RevOps, engineering, BI, sales, marketing, onboarding, and support teams to drive measurable business outcomes in ambiguous environments.

Owns the AMERS datacenter portfolio strategy and program-management rhythm across design, procurement, construction, commissioning, networking, capacity, and operations. The role maintains trusted milestone, risk, dependency, and capacity reporting; coordinates cross-functional initiatives; improves templates, workflows, automation, and telemetry; and drives executive-ready decisions, schedule adherence, cost control, quality, and operational reliability across large-scale infrastructure programs.

Coordinate technical execution for US post-sales cloud customers, including pre-sales handoffs, architecture and dependency tracking, production readiness, customer health, risk management, and cross-functional work with Engineering, Product, Support, and architects. Improve post-sales processes, Jira workflows, dashboards, reporting, playbooks, and documentation while identifying technical gaps and operational blockers across AI cloud infrastructure environments.

Lead complex Azure Storage initiatives for strategic AI and data analytics customers. Provide Blob Storage architectural guidance for HPC and machine learning workloads, manage cross-functional technology programs, influence technical priorities through customer feedback, mitigate risks, and improve operational efficiency. The role requires technical depth in cloud infrastructure, high-scale systems, resiliency, performance, capacity management, and production operations, along with strong stakeholder influence.

Leads cross-organizational Quality Excellence Initiative programs across Microsoft Cloud. Translates customer signals, outages, and operational risks into engineering priorities and measurable improvements. Manages complex initiatives, dependencies, governance, resiliency plans, change controls, executive reporting, and success metrics. Partners with engineering, service, architecture, operations, data science, and business teams to improve customer health, prevent incidents, strengthen service resiliency, and drive continuous operational improvement.

Lead multidisciplinary teams delivering robotic and industrial automation products from concept through production deployment and sustainment. Manage technical integration across software, mechanical, electrical, industrial, and embedded controls teams; oversee schedules, budgets, risks, issues, and corrective actions; enforce product development processes; coordinate stakeholders and customers; and drive continuous improvement across complex programs.

Leads complex technical programs across engineering, product, software, robotics, and automation teams. Responsibilities include managing risks, priorities, dependencies, milestones, accountability, cross-functional communication, executive reporting, and program health metrics using SQL and Jira. The role drives alignment, execution, process improvement, and delivery in a fast-paced technical environment, with up to 20% travel to client and customer locations.

Manage complex technical programs from proposal through execution by developing Integrated Master Schedules, reviewing Statements of Work, analyzing critical paths, identifying risks, coordinating multidisciplinary engineering teams, planning resources and milestones, and driving actions and issues to closure. The role serves as the execution backbone for aerospace and highly technical programs, ensuring commitments remain aligned with scope, budget, and schedule.

Drives technical execution and engineering excellence across Azure AI infrastructure delivery, including provider buildout, engineering readiness, validation, Dock-to-Live activities, and customer onboarding readiness. Develops telemetry, metrics, dashboards, automation, AI-powered systems, and agentic workflows to improve predictability, reduce operational toil, resolve technical bottlenecks, and accelerate deployment of customer-ready cloud capacity. Partners with engineering and provider teams and communicates risks and recommendations to technical and executive stakeholders.

Own end-to-end planning and execution of complex humanoid robotics development programs, managing scope, schedule, cost, risks, and delivery. Coordinate globally distributed hardware and software teams across systems, safety, mechanical, electrical, firmware, AI/ML, integration, test, supply chain, and related functions. Build stakeholder alignment, remove blockers, improve program processes, and guide cross-functional teams through product development and deployment.

Lead the Siemens Partnership Program, ensuring coordination, risk management, and communication across technical teams to embed Xometry's AI into Siemens ecosystems.

Lead and coordinate high-priority cross-functional strategic projects for engineering leadership. Serve as CoS liaison, manage meetings and communications, synthesize technical and financial information, prepare executive briefings, prioritize the CoS calendar, improve processes, and perform ad-hoc analysis to inform strategy and shareholder communications.

Lead and coordinate enterprise SaaS product deployments, managing multiple medium-to-large projects across timeline, scope, budget, and compliance. Align product, engineering, sales, and client teams; mitigate risks; produce documentation for customer acceptance and revenue recognition; deliver customer training; mentor junior PMs and support hiring. Requires frequent stakeholder communication and travel.

Embed with strategic customers to lead end-to-end technical programs, applying AI-assisted engineering to accelerate delivery. Coordinate cross-functional teams, make data-driven decisions, manage risks, and cultivate reusable solution patterns and playbooks to scale impact.

Embed with strategic customers to lead end-to-end technical programs, aligning business needs with engineering across AI, cloud, and data. Use AI-assisted engineering, engineering tooling, and cross-disciplinary teams to deliver measurable outcomes, scale reusable patterns, and manage risk in ambiguous environments.

Lead program delivery for Agent Cockpit, coordinating cross-functional teams, managing roadmaps, dependencies, launch readiness, security reviews, reliability and observability programs, and agent enablement to ensure a stable, performant internal compliance platform.

Support enterprise customer implementations across Fusus and other Axon products. Lead discovery, gather requirements, document workflows and user stories, configure solutions, evaluate trade-offs, conduct user acceptance testing, and develop training materials. Collaborate with project managers, architects, product teams, and customers to deliver scalable solutions, drive adoption, and achieve measurable outcomes.

Remote contract Technical Program Manager to own program delivery for an AI/LLM platform: run workflows, review Python/JS/SQL code, lead single-tenant to multi-tenant migration, formalize release-gating QA from informal tests, and guide architecture and multi-provider LLM integrations (RAG, agentic workflows).