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Senior Technical Project Manager

Project Management Full-time Permanent Remote

Job details

Not specified Salary
Remote Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

A Senior Technical Project Manager will guide complex programs across machine learning, systems and MLOps, platform engineering, and customer solutions. The role covers the full delivery cycle, from scoping and planning through launch and review, including initiatives involving product development, model delivery, infrastructure, and enterprise deployments. It suits someone who can turn uncertainty into workable plans and keep technical and business teams aligned on delivery.

Responsibilities - Lead cross-functional initiatives from initial scope and planning through execution, launch, and retrospective. - Maintain roadmaps and schedules across concurrent projects, tracking dependencies, critical paths, and risks. - Coordinate engineering, product, solutions, quality, and customer success teams around shared priorities and status. - Facilitate sprint planning, standups, backlog refinement, and retrospectives; help teams adopt consistent practices. - Improve program management processes, standards, intake, prioritization, reporting, and project tooling. - Identify blockers early, coordinate escalations, and report progress clearly to leaders and, when appropriate, enterprise customers. - Coordinate customer deployment plans and milestones, and support post-incident reviews and follow-up actions.

Requirements - At least six years of technical project or program management experience, including delivery of complex software or AI/ML products. - Demonstrated success managing programs with software, infrastructure, or machine learning engineering teams. - Strong command of Scrum or Kanban and project tools such as Jira and Confluence, or comparable methods and tools. - Technical fluency in software architecture, APIs, cloud infrastructure, CI/CD, and ML or data workflows sufficient to assess estimates and trade-offs. - Ability to influence without formal authority and align engineering, product, and business stakeholders. - Strong organization, communication, and risk management, with a track record of creating predictability in ambiguous environments. - Willingness to travel approximately 10%.

Skills detected in the listing

Stakeholder ManagementMachine Learning
Detected Oct 19, 2026
Last verified Oct 20, 2026

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