Senior Technical Program Manager

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

Project Delivery

• Lead delivery of autonomous vehicle deployment programs across multiple U.S. logistics and operational sites, ensuring successful execution against scope, schedule, budget, and performance targets.

• Partner cross-functionally with Engineering, Product Management, and Operations teams to define project scope, technical requirements, milestones, and deliverables.

• Develop and manage comprehensive project plans, including schedules, resource allocation, budgets, risk assessments, and mitigation strategies.

• Translate complex technical progress, risks, and constraints into clear business insights for senior leadership, customers, and external stakeholders; conversely, convert customer and business needs into actionable technical requirements.

• Coordinate site readiness and operational support, including IT/network infrastructure, facilities setup, and enablement of on-site personnel (e.g., safety drivers and support staff).

• Lead regular customer engagements, including program reviews, solution design discussions, and status updates; proactively manage stakeholder expectations and adapt plans to evolving requirements or unforeseen challenges.

• Oversee procurement, inventory management, and technical support for deployment hardware and system components.

• Maintain flexibility to support U.S.-based projects across time zones as required.

Technical Support

• Provide technical leadership and hands-on support during deployment activities to ensure timely issue resolution and operational continuity.

• Define and expand regression test coverage by identifying critical use cases and establishing clear behavioral specifications.

• Ensure deployments meet rigorous standards for safety, performance, reliability, and regulatory compliance, with a strong focus on customer satisfaction.

• Stay current with advancements in autonomous vehicles, robotics, and related technologies to continuously improve deployment effectiveness and system robustness.

• Bachelor’s degree in Engineering, Robotics, Computer Science, or a related technical field.

• 5 to 10 years of experience managing technical projects in the robotics, automotive, or autonomous vehicle sectors.

• Proven experience in leading cross-functional teams in the development and delivery of complex hardware-software systems.

• Strong understanding of autonomous systems, robotics, and vehicle integration.

• o Exceptional project management skills, including the ability to manage multiple projects simultaneously.

• Familiarity with Agile and Scrum methodologies.

• Excellent communication and stakeholder management skills.

• Ability to thrive in a fast-paced, dynamic environment with shifting priorities.

Bonus Experience

• Experience in management of production software releases for a customer

• Strong proficiency in Jira, Zephyr, and the Atlassian suite of tools.

• Extensive experience with Git, Linux, and Docker environments.

• Familiarity with robotics middleware such as ROS/ROS2

• Proficiency in programming languages like C++ and Python, and good OOP coding practice in a Linux environment

• Experience with logistics or supply chain technologies.