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Manager, Technical Program Management - System Safety for Cross Functional Initiatives
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Overview
Job Description
In this role, you will:
- Develop, drive, and own the end-to-end strategy for cross-functional Verification and Validation (V&V) programs from planning through execution and closure.
- Lead cross-functional coordination to define comprehensive simulation-based and structured test plans.
- Align validation pipelines and synchronize program execution across technical program managers and engineering leads.
- Manage risk assessments, track critical issues, drive cross-team resolutions, and escalate challenges where necessary.
- Define and track resource requirements, identify critical paths, and maintain visibility into key program milestones.
- Ensure program transparency, proactively identify risks, and drive mitigation strategies to maintain schedule and quality targets.
- Debrief company executives on program-critical topics
Qualifications
- BS or MS degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
- 7+ years of experience leading complex technical programs or engineering initiatives, preferably in automotive, robotics, aerospace, or related industries.
- Demonstrated ability to lead technical teams through critical paths and deliver programs under tight timelines.
- Proficiency with project and issue tracking tools such as JIRA, and familiarity with Gantt charting, dependency mapping, and critical path management.
- Strong technical foundation with the ability to collaborate effectively with deep engineering teams across hardware, software, and systems disciplines.
- Proven track record of driving cross-functional programs to completion in dynamic, fast-paced environments with multiple stakeholders.
- Proficiency with basic statistics and probability
Bonus Qualifications
- Experience with validation of safety-critical or high-integrity systems.
- Familiarity with simulation environments, software pipelines, and/or data-driven system modeling and analysis.
- Experience scaling validation and test strategies for complex autonomous systems.
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