Align & influence key stakeholders in Product Management, Software Engineering (Full-Stack), Machine Learning, Data Science, and Operations to drive roadmap planning and execution of large-scale programs
Lead cross-functional development from concept to delivery, overseeing software deliverables & improving the delivery lifecycle across globally distributed, cross-organizational teams
Take deep ownership of program outcomes by proactively anticipating risks, identifying dependencies, reducing ambiguity, and eliminating roadblocks that hinder our stakeholders from moving forward.
Communicate program health updates regularly with senior leadership & executives on schedule, status, risk, and change control.
Create and streamline processes & mechanisms that increase efficiency and speed, driving best practices to ensure long-term product success.
Mentor & develop within the program management function, raising the bar and standard for the role.
Up to 10% travel within the United States and globally for key on-site activities.
Requirements
7+ years of technical program management experience, working directly with product management and hardware/firmware/software engineering teams.
Proven track record of leading large-scale, complex (many stakeholders) schedules on time, on-budget, and with high quality.
Strong technical background with experience in facilitating discussions & contributing to design decisions surrounding mobile applications, cloud services and machine learning.
Exceptional written & verbal communication skills with the ability to convey complex technical details across technical and non-technical audiences.
Proven ability to influence teams without authority, effectively manage competing priorities, and navigate ambiguity in a fast-paced environment.
Exceptional "backbone" in executive-level discussions; able to navigate complex stakeholder landscapes, and voice unpopular truths when data-driven while maintaining a calm, objective perspective.
3+ years of software development experience.
Experience in micromobility, bicycle, or automotive industries.
Experience building or operating systems across multiple geographies, with region-specific constraints and requirements.
Experience working on logistics, fleet management, or operationally complex systems involving real-world assets.
Experience working on systems that support real-time decision-making, optimization, or machine learning-driven workflows.