Operations Manager - Physical AI Programs
Arthur Lawrence
Job Description
Job Description
**HYBRID POSITION**
About the RoleWe are seeking a highly organized and execution-oriented Operations Manager to support a rapidly growing Physical AI team as it expands global field data collection capabilities. This role will help design and operationalize new programs, develop scalable playbooks, and support the execution of pilots that enable high-quality data collection in real-world environments.
The ideal candidate thrives in ambiguous environments, enjoys building processes from the ground up, and is comfortable coordinating across a diverse range of stakeholders. This position will partner closely with Operations, Product, Engineering, Supply, Legal, Policy, and regional teams to translate emerging business needs into repeatable operational solutions.
This is a unique opportunity to help shape a growing function at the intersection of operations, technology, and AI development. The successful candidate will play a key role in testing new operating models, generating insights from pilot programs, and helping establish the foundations for scalable field data collection worldwide.
Key Responsibilities
- Design and document operational playbooks, Standard Operating Procedures (SOPs), and pilot execution frameworks.
- Support end-to-end planning and execution of field data collection pilots across multiple markets.
- Partner with cross-functional stakeholders across Product, Operations, Supply, Legal, and other teams to drive alignment and remove execution blockers.
- Establish pilot processes, workflows, success metrics, and reporting mechanisms.
- Identify operational risks, dependencies, and process gaps; develop mitigation plans and solutions.
- Collect, synthesize, and communicate pilot learnings, recommendations, and proposed next steps.
- Build project plans, manage timelines, track milestones, and ensure successful delivery of key initiatives.
- Support experimentation efforts by developing scalable operational models and testing new approaches.
- Analyze operational performance data and provide insights to improve program effectiveness and efficiency.
- Prepare executive-ready documentation, updates, and recommendations for leadership review.
- Travel to pilot locations as needed to support field operations, observe workflows, gather operational insights, and collaborate with local stakeholders.
Required Qualifications
- Bachelor's degree (B.A. or B.S.) in any discipline.
- Minimum 2 years of experience in data collection, data annotation, operations, program management, or a related field (internships included).
- Demonstrated ability to execute effectively while maintaining curiosity and challenging assumptions.
- Strong documentation skills with the ability to create clear, actionable project plans and operational materials.
- Excellent verbal and written communication skills.
- Proficiency with Google Workspace (Docs, Sheets, Slides, etc.).
- Professional working proficiency in English.
Preferred Qualifications
- Experience supporting field data collection programs or operations.
- Interest in AI, emerging technologies, and data-driven solutions.
- Passion for operational excellence and continuous improvement.
- Experience working in fast-paced, cross-functional environments.
Why Join?
This role offers the opportunity to help build and scale innovative operational programs that directly support the development of next-generation AI technologies. You'll work alongside cross-functional teams, contribute to strategic initiatives, and help create the operational foundation for global field data collection efforts.
Company DescriptionArthur Lawrence is a US-focused management consulting and staffing firm placing talent across IT, finance, light industries, and pharmaceuticals. We work with Fortune 500 clients and operate with a delivery-first mindset backed by a strong internal training culture.
Company Description
Arthur Lawrence is a US-focused management consulting and staffing firm placing talent across IT, finance, light industries, and pharmaceuticals. We work with Fortune 500 clients and operate with a delivery-first mindset backed by a strong internal training culture.
$225k - $335k
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