ASI is revolutionizing industries with state-of-the-art autonomous robotics solutions, enhancing safety, productivity, and efficiency. The AI Development Manager IV will lead a team building systems, tools, and infrastructure for frontier AI research and production scale autonomy.
Requirements
- 10+ years of experience supporting highly technical teams such as AI research, machine learning, robotics, or advanced engineering.
- Strong understanding of Agile principles and hands on experience adapting them to R&D or research-centric environments.
- Ability to translate complex technical work into clear plans without restricting exploration or scientific creativity.
- Proven ability to remove blockers, manage dependencies, and drive alignment across multiple technical partners.
- Experience maintaining visibility, workflows, and structured documentation for complex or extended technical projects.
- Comfort navigating ambiguous problem spaces where priorities shift quickly based on research results and emerging insights.
- A service-oriented mindset focused on clarity, operational excellence, and enabling teams to do their best work.
Responsibilities
- Lead a team of AI developers, ML engineers, and software engineers through technical guidance, mentorship, and structured execution.
- Contribute directly to development efforts by designing, implementing, reviewing, and optimizing AI related software systems.
- Establish technical direction and architectural decisions for model pipelines, distributed training systems, deployment frameworks, and supporting infrastructure.
- Support the development and scaling of model training workflows, data pipelines, inference systems, and real time or embedded AI components.
- Ensure the engineering team follows best practices in code quality, testing, documentation, version control, and reliability.
- Monitor project progress, remove blockers, and drive continuous improvement across tools, development processes, and team workflows.
- Coordinate cross functional work among research, infrastructure, robotics, and product teams to ensure alignment and smooth integration of AI capabilities.
Other
- Lead a team of AI engineers and professionals.
- Balance hands on development with managerial responsibilities including planning, prioritization, performance feedback, and team health.
- Create and maintain clear plans, roadmaps, and execution structures that enable predictable delivery without restricting innovation or exploration.
- Recruit, onboard, and develop top engineering talent with a focus on growth, capability building, and long-term team scalability.
- Exceptional facilitation, communication, and organizational skills suited for high complexity technical teams.
