Overview
Salary: $79.78-88.64 Hourly up to $88.64/hr
Aquent is thrilled to partner with a pioneering organization that is at the forefront of shaping the future of transportation, redefining mobility through advanced software, robust infrastructure, seamless connectivity, and cutting-edge AI-driven systems. This is an unparalleled opportunity to join a team where your contributions will directly influence the development and deployment of revolutionary autonomous technology, making a tangible impact on the world. As a visionary leader, you will tackle highly complex engineering initiatives across diverse teams and advanced technologies, operating with a high degree of autonomy to set new standards for program execution. You will be a trusted partner to senior engineering and product leadership, driving strategic initiatives that will define the next generation of intelligent systems, pushing the boundaries of autonomous technology and making a profound impact on the future of mobility. What You Will Do
- Lead end-to-end program management for large-scale, multi-team engineering initiatives, from strategy and technical planning through execution and delivery.
- Partner closely with VP- and Director-level engineering and product leaders to influence roadmaps, resourcing decisions, sequencing, and organizational priorities.
- Define and continuously improve program management frameworks, processes, and best practices across the engineering organization.
- Drive alignment across complex dependencies involving multiple engineering teams, external partners, and competing priorities.
- Anticipate and proactively manage technical risks, escalations, trade-offs, and delivery challenges at both the program and portfolio level.
- Communicate clearly with executive audiences, translating technical complexity into business impact and strategic recommendations.
- Actively participate in architecture, system design, and technical scoping discussions, providing informed input on feasibility, sequencing, dependencies, and delivery risk.
- Leverage AI tools to support technical decision-making, program execution, and evaluation of design or code changes.
What You Bring
- 7+ years of experience in technical program management, with a strong track record of delivering complex, organization-wide engineering programs.
- Deep experience managing multi-team software programs across the full SDLC, including platform, infrastructure, distributed systems, or product initiatives.
- Strong technical foundation with the ability to engage credibly in architectural discussions, understand system design trade-offs, and assess technical risk.
- Exceptional communication and executive presence, with demonstrated success influencing without direct authority.
- Experience building, scaling, or improving program management processes, frameworks, and tooling.
- Ability to navigate ambiguity, create clarity, and make sound decisions in fast-paced, technically complex environments.
- Experience using AI tools to support technical analysis, design evaluation, or code-related decision-making.
- Understanding of agentic AI models, AI agents, and chatbot-based systems, including experience supporting or executing programs involving these technologies.
- Technical knowledge across areas including:
- Wireless Technologies: 4G/5G, Multi-WAN load balancing
- Networking: UDP/TCP, NAT traversal, network security, mTLS
- Data & Distributed Systems: Kafka / KafkaJS, Protobuf serialization
- Cloud Infrastructure: AWS, API Gateway, and related cloud services
Stand Out With
- Experience within a software organization supporting infrastructure, platform, networking, connectivity, or product engineering.
- Familiarity with cloud platforms such as AWS, GCP, or Azure and distributed systems architecture.
- PMP, PgMP, Agile, or Scrum certification.
- Previous experience as a software engineer or in another hands-on technical role.
- Strong problem-solving, troubleshooting, and debugging skills.
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