Hayden AI

Manage customer onboarding, implementation, issue resolution, and ongoing account management for transit and government clients. | 7+ years in customer-facing project management, experience in transit or government sectors preferred, PMP certification is a plus, strong leadership and communication skills. | About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. About the Role: The Sr. Program Manager is ultimately responsible for maintaining positive customer relationships. You will manage projects with our customers, such as system implementations, and provide end-to-end program management throughout the lifecycle of the program. You will need to maintain a detailed understanding of products and services to support customers with questions and suggest the best solutions for their needs. You will serve as the voice of the customer and advocate for ways to improve Hayden AI solutions to product management, engineering, and operations. Responsibilities: Customer Onboarding & Implementation Own and manage all aspects of client onboarding and implementation. Develop and maintain a detailed implementation schedule aligned with client requirements and internal milestones. Utilize the implementation playbook to guide the process for new customer deployments. Train clients on Hayden AI software and ensure seamless knowledge transfer. Issue Resolution & Escalations Act as the frontline for operational issues, working closely with the business strategy lead, operations team, and project engineer. Proactively identify and resolve bottlenecks in customer workflows. Coordinate resolution of complex issues with Engineering. Track and manage escalations, ensuring timely resolution. Monitoring & Performance Tracking Track key customer metrics (uptime, adoption, engagement, etc.). Ensure SLAs and contractual obligations are consistently met. Regularly report on project milestones and deliverables. Collaborate with subcontractors and violation processors supporting each program. Proactive Account Management Establish regular check-ins with clients to preempt potential issues. Serve as the primary point of contact for customers. Align internal teams to customer needs and act as the client advocate. Provide structured feedback to internal teams based on customer insights. Process Improvement & Feedback Loop Work closely with operations and assigned project engineers to refine workflows. Identify process improvements based on customer insights and performance trends. Collaborate with Product and Engineering teams to advocate for product enhancements. Establish, implement, and maintain an effective Project Plan to ensure all deliverables are met. Required Qualifications: Bachelor’s degree 7+ years of experience in customer-facing project management with customer-relationship responsibilities. Experience in Public Transit, Government or similar industries preferred PMP and/or related project management certifications preferred. Proven leadership/team management skills with the ability to optimize team performance and development (Growth Mindset approach) Excellent analytical and problem-solving skills Hands-on approach in taking charge of issues and seeing them through to resolution Ability to operate under deadlines while still meeting standards Excellent verbal and written communication. Ability to travel up to 10% within the assigned region.

Lead and manage a team developing advanced mapping, localization, and SLAM solutions for embedded camera systems, setting technical direction and collaborating cross-functionally. | 10+ years industry experience with leadership in SLAM/state estimation, strong C++ and computer vision skills, and advanced degree preferred. | About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. Job Summary: The Engineering Manager, State Estimation will lead a high-performing team focused on developing advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. You will oversee the research, development, and deployment of large-scale mapping and localization solutions, while shaping the technical roadmap and ensuring successful collaboration across device, cloud, and applied AI teams. Responsibilities: Build, mentor, and manage a team of engineers developing state-of-the-art mapping, localization, and SLAM algorithms. Set technical direction and project priorities, aligning them with broader organizational goals. Drive high-impact, cross-functional projects from conception through deployment, coordinating with research, hardware, and product teams. Provide technical guidance on algorithm design, system architecture, and implementation, while ensuring best practices in software development and performance optimization. Foster a culture of innovation, technical rigor, and collaboration across the team. Develop and maintain project roadmaps, milestones, and technical documentation. Partner with senior leadership to define long-term strategies for localization, state estimation, and multi-sensor calibration. Review and approve designs, architectures, and implementations, ensuring technical excellence and scalability. Lead recruitment, hiring, and performance management to grow a world-class engineering team. Required Qualifications: Bachelor of Science degree (M.S. or Ph.D. preferred) in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or a related field. 10+ years of industry experience (8+ years with an M.S., 6+ years with a Ph.D.), including significant leadership or management responsibilities. Proven experience leading engineering teams working on state estimation, localization, or SLAM technologies. Strong foundation in C++ development, geometric computer vision, stochastic processes, and nonlinear/convex optimization. Deep understanding of filtering algorithms (e.g., Kalman, particle filters) and optimization-based methods (e.g., nonlinear least squares). Familiarity with camera geometry, structure from motion, multi-sensor fusion, factor graphs, and related state estimation concepts. Strong track record of technical execution combined with leadership and team-building skills. Exceptional communication skills, with the ability to collaborate effectively across engineering, research, and product functions. Experience in technology transfer and delivering research innovations into production systems. Preferred Qualifications: Demonstrated success deploying SLAM/VIO estimators in real-world applications. Experience with multi-sensor systems, including GPS, IMU, camera, and wheel odometry. Exposure to integrating deep learning with classical state estimation approaches. Strong record of published research or contributions to the robotics and computer vision community. Experience scaling and leading multi-disciplinary engineering teams

Lead and coordinate technical projects and customer engagements to deliver hardware/software solutions for transit and government clients. | 8+ years in integrated hardware/software solutions engineering with project leadership experience and strong background in cloud-connected devices and edge computing. | At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. This position will follow a Hybrid work model at the HQ Office in San Francisco or be Remote in New York What The Job Involves In this role, you will work with all stages of the customer engagement, from helping explore the requirements, to ongoing application of our technology to address the customer needs. The Solutions Engineering team coordinates engineering with business teams and customers to align project scoping, delivery, and execution. The team will be on the ground, to support the technical needs and functional requirements of our customers, and work with teams across Hayden AI to build solutions for real problems. Responsibilities • Work with cross-functional teams to scope, plan, and implement technical projects with engineering. • Communicate technical information in a clear and meaningful way to customers. • Respond to and lead technical investigations in the field. • Assess the application of new use cases for new and existing customers. • Effectively communicate project status and progress through concise, articulate engineering and executive reports and presentations, catering to both client and internal stakeholders. • Lead field projects and the execution of client programs. • Monitor and review product performance data to detect anomalies before they affect customers. Qualifications • B.S. in an engineering discipline or equivalent. • 8+ years experience in integrated hardware/software Solutions engineering, Application engineering, or similar roles. • Experience leading the overall project efforts of at least 5 new products in production. • Strong technical background in connected cloud connected device software, edge computing, data as a product, machine learning, and fleet management. • Experience working closely with multidisciplinary technical teams to drive customer solutions. • Knowledge of tools and techniques for managing complex project development through its entire lifecycle. • Experience leading technical teams across multiple locations in the field. • Experience with the public transportation domain is a plus. • Experience delivering innovative technologies to government agencies is a plus.

Develop and optimize C++ code for edge-based vehicle detection and tracking AI models on embedded devices. | 7+ years experience, strong C++ proficiency, background in ML/Image Processing/Computer Vision, and collaboration skills. | About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. What the job involves As a member of the Hayden Software Engineering org you will help build our next generation product for enforcing School Bus Stop safety. This team is developing edge-based vehicle detection and tracking AI models. This is a C++ software engineering generalist role. You will be delivering high quality C++ code that runs on edge devices. You will build and improve the accuracy of ML / CV models, including refining open-source models to solve Hayden-specific problems. Expect to collaborate with Product Management to translate customer needs to software solutions. Hayden is a startup. You will be working in an ambiguous, fast-paced environment. As Hayden begins an organizational scale-up phase, we need to build a rock-solid foundation. That means delivering well-designed and well-tested code that can be shared across the organization. Responsibilities Deliver bullet-proof, rigorously tested C++ code. Iterate on our suite of real-time vehicle tracking and license plate reading systems. Refine and optimize cloud-side image and video processing. Deep dive into performance optimization, focusing on algorithms specifically for the Nvidia Jetson architecture. Enhance the infrastructure and tooling used for performance analysis, ensuring efficient development cycles. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field. Background in Machine Learning, Image Processing, Computer Vision, or a similar field. Minimum 7 years of industry experience. Strong programming proficiency in C++. Past experience collaborating with other software engineers. Hayden is beginning a scale-up process within the organization. We need people who can function in a larger organization. Ways to stand out In-depth knowledge and experience with embedded systems development. Familiarity with CUDA/OpenCL programming and video processing pipelines. Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch). Familiarity managing data processing and machine learning code via GitHub. Experience with iOS or Android mobile application development beyond UI. Experience with ROS or other robotics systems.

Lead ML projects including model design, training, deployment, and continuous improvement for urban scene perception and collaborate cross-functionally. | PhD/Master's in related field, 10+ years ML experience, expertise in Python, PyTorch/TensorFlow, OpenCV, cloud deployment, and containerization with Docker/Kubernetes. | About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. Job Summary: As a Staff Machine Learning Engineer, you will play a critical role in the architecture and refinement of our cutting-edge perception system. You will leverage a wide spectrum of machine learning techniques, from foundational deep learning and computer vision models to classical algorithms and multi-modal AI models, to solve complex, real-world challenges. Your broad expertise across the machine learning landscape, combined with your proven leadership, will be essential in driving performance improvements and ensuring seamless integration across the company. In this role, you will define and lead high-impact projects, identify new opportunities for innovation, and help shape the future of ML at Hayden AI. Responsibilities: Define and lead projects, driving the entire ML system development life cycle from problem definition and data acquisition to deployment and continuous improvement in production. Guide and mentor cross-functional teams, fostering a collaborative environment and elevating the technical expertise across the company. Actively contribute to the development and refinement of our machine learning models in production, writing clean, efficient, and well-documented code. Design and train deep learning models for complex urban scene perception, classification, object detection, tracking and semantic segmentation. Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of machine learning models. Design and implement automated pipelines for the continuous training, evaluation, and improvement of our machine learning models. Analyze data to identify performance bottlenecks and uncover opportunities for system enhancement. Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements. Utilize data visualization tools to present complex information clearly for informed decision-making. Required Qualifications: Ph.D. or Master's in Machine Learning, Computer Science, Robotics, Electrical Engineering, or a related field. 10+ years of relevant experience in machine learning, deep learning, and computer vision, with a focus on image classification, object tracking, semantic segmentation, and urban scene understanding. Proven ability to deploy deep learning systems in real-world, customer-facing production environments. Advanced Python programming skills with a strong foundation in software design principles and extensive experience with relevant machine learning libraries and frameworks. Expertise in PyTorch or TensorFlow is required; familiarity with both is a significant plus. Deep hands-on experience with OpenCV. Demonstrated experience with cloud-based deployments on platforms such as AWS, GCP, or Azure. Hands-on experience with containerization and orchestration technologies, including Docker and Kubernetes. Experience with the management and optimization of cloud-based GPU nodes for training and inference is a plus. Experience leveraging large foundational models for a variety of computer vision tasks. Demonstrated proficiency in data science and traditional machine learning algorithms (e.g., SVMs, Random Forests). Prior experience with building and maintaining automated machine learning pipelines is highly desirable. A strong understanding of both cloud and on-device systems for effective model deployment and integration.