Sr Technical Program Manager, ML & Robotics Platform
New
Based in United StatesFull-TimeSenior
SalaryCompetitive base salary ranging from $133,000 to $238,000 per year, based on experience and location
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Job Details
- Experience
- 7+ years
- Required Skills
- AgileMachine LearningJiraConfluenceComputer Vision
Requirements
- 7+ years of experience leading complex, cross-functional technical programs in software, AI, robotics, or platform engineering domains.
- Strong understanding of systems design and architecture, with the ability to contribute to technical discussions at a high level.
- Experience working with machine learning, computer vision, robotics, or autonomy programs is highly preferred.
- Proven ability to influence without authority and align diverse engineering stakeholders around shared goals.
- Strong analytical skills with experience managing large-scale, dependency-heavy programs.
- Proficiency with Agile tools such as Jira and Confluence.
- Excellent communication, prioritization, and stakeholder management skills in fast-moving technical environments.
- Ability to translate complex technical concepts into clear execution plans and milestones.
Responsibilities
- Lead and own the execution of large-scale, cross-functional technical programs spanning machine learning, robotics, and platform infrastructure by translating ambiguous initiatives into clear, structured delivery plans.
- Drive alignment across engineering, data science, and robotics teams, ensuring dependencies, milestones, and critical paths are clearly defined and executed.
- Serve as the primary driver of program strategy and execution, replacing status reporting with actionable, data-driven program tracking and outcomes.
- Identify and remove execution blockers across teams, proactively re-prioritizing and adjusting plans to ensure timely delivery of high-impact initiatives.
- Build and maintain strong cross-functional collaboration frameworks that improve operational efficiency and communication across technical groups.
- Partner with engineering leadership to shape platform roadmaps supporting ML, autonomy, and robotics systems at scale.
- Establish best practices, processes, and tooling adoption to improve program delivery consistency and engineering velocity.
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