Company is building the foundational intelligence layer for robotics. They are building a unified AI model capable of learning from large-scale real-world interactions and generalizing across robot types, tasks, and environments.

This is an opportunity to join a company that is defining the future of robotics and embodied intelligence.

About the Role :

As a Process Excellence Manager Data Operations Infrastructure, you will be responsible for designing, optimizing, and scaling the operational systems that support Company's robotics data collection and annotation ecosystem.

Robotics foundation models require massive volumes of high-quality data generated through data collection facilities, warehouse environments, annotation operations, and specialized infrastructure. This role will build the processes, quality frameworks, operational controls, and execution systems required to ensure these operations run efficiently, reliably, and at scale.

You will work closely with operations, infrastructure, research, and vendor teams to create world-class operational systems capable of supporting frontier AI development.

Key Responsibilities :

- Design, standardize, and scale operational processes across data collection sites, warehouses, annotation operations, and supporting infrastructure.

- Lead process excellence initiatives focused on quality, throughput, efficiency, scalability, and operational reliability.

- Develop and implement SOPs, process controls, governance mechanisms, and operational playbooks.

- Build metrics frameworks, dashboards, KPIs, quality systems, and escalation mechanisms to drive operational visibility and performance.

- Identify process bottlenecks and drive continuous improvement initiatives using structured problem-solving methodologies.

- Partner with operations, infrastructure, research, tooling, and vendor teams to operationalize large-scale robotics data programs.

- Drive root-cause analysis and corrective action plans for operational challenges.

- Establish scalable frameworks that enable rapid growth while maintaining quality and consistency.

What We're Looking For :

- 4 - 8 years of experience in Process Excellence, Operations Excellence, Program Management, Industrial Engineering, Manufacturing Excellence, Supply Chain Operations, or related functions.

- Strong understanding of Lean, Six Sigma, Continuous Improvement, Process Engineering, or Operational Excellence methodologies.

- Proven experience building and improving complex operational systems in high-volume environments.

- Strong analytical, problem-solving, and stakeholder management skills.

- Ability to work independently and drive initiatives in fast-paced, highly ambiguous environments.

- Experience designing metrics, dashboards, SOPs, governance frameworks, and quality systems.

- High ownership mindset with strong execution capabilities.

Preferred Backgrounds :

Candidates from the following industries are likely to be particularly relevant:

- Automotive Manufacturing

- Industrial Engineering

- Supply Chain & Logistics

- Warehousing & Fulfillment Operations

- Electronics Manufacturing

- Industrial Automation

- Production & Operations Excellence

- Large-scale Process-Driven Organizations

Educational Background :

- Bachelor's or Master's degree in Engineering, Operations, Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or related disciplines.

- Candidates from top-tier Engineering Institutes, NITs, IITs, NITIE (IIM Mumbai), or equivalent institutions preferred.

Why This Role ?

This role offers a unique opportunity to apply world-class process excellence and operational engineering principles to one of the most complex and rapidly evolving domains in technology.

You will help design and scale the operational backbone that supports the development of next-generation robotics foundation models. The challenges are highly cross-functional, deeply analytical, and critical to the success of a company working at the intersection of AI, robotics, large-scale operations, and infrastructure.

If you enjoy building systems, driving operational transformation, solving complex process problems, and creating scalable execution frameworks, this is an opportunity to have a direct impact on the future of Physical AI.