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What you will be doing:
Work with the engineering team to come up with and handle project roadmaps, schedules, achievements and work you're doing as part of the development team.
Coordinate release content and efforts with multiple program/engineering managers who own individual components.
Balance risks and address problem that affects release scope, schedule and quality
Work closely with the leadership team to help define measures of release quality using industry standards
Establish metrics to assist with assessing the health of the release
Guide the team on driving in accurate agile/scrum manner
Assist in improving processes and procedures within the team.
Help streamline day-to-day operations.
Generate KPIs and metrics to measure progress and track trends. Be able to analyze the trends and drive improvements through them.
Regularly communicate the program status and key issues to management and across teams within the organization
What we need to see:
BS/MS Computer Science or related field (or equivalent experience)
8+ years recent Program/Project Management experience driving the planning and execution of software engineering projects, and releasing commercial products
Experience handling at least few successful releases with the short release cadence in a multifaceted environment
A consistent track record of leading and optimally delivering medium to large programs and projects, process improvements
Shown ability to evaluate and drive adoption of new and improved process workflows in medium to large organizations
Experience with new product introduction and program managing research teams is a plus
Previous experience & lived a life as a software developer or software QA engineer. Understand the pressures they are under, allowing you to more successfully lead them in projects as well as process.
Experience with Jira and/or JAMA, to the point that you can comfortable guide an engineering team how to use these tools and execute in an Agile/scrum manner
PMP, Scrum Master certification is a plus
Ways to stand out from the crowd:
Experience with autonomous vehicles, autonomy software integration and machine learning
Experience with start-ups and/or early-stage products
Background with automotive SW development and QNX
Experience working with operations and fleet management
Background with Issue triaging and diagnosis.
You will also be eligible for equity and .
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