Commercial Operations Intern [Winter 2027]

Figure AI
San Jose, CA
On-siteCareer-pivot friendly

Who this role is best for

Strong fit for candidates with hands-on operational experience who can manage data and communicate effectively, and who are open to working in industrial environments across the US.

Best fit for

  • Recent graduates or rising seniors with data tracking and communication skills.
    — “Rising senior or recent graduate in Business, Industrial Engineering, Operations Research, Engineering, or a related field”
  • Individuals who can bridge commercial and technical teams with cross-functional coordination.
    — “Coordinate across Commercial, Pilots, Engineering, and Operations”

Things to consider

  • The role demands physical presence at customer and deployment sites, which may require frequent travel.
    — “Willing to travel to customer sites and work hands-on in industrial environments”
  • Candidates must be prepared to handle real-world operational tasks with responsibility and autonomy.
    — “Step in on real tasks and own projects end to end”

How to stand out

  • Highlight experience managing KPIs and operational workflows in your resume and interviews.
    — “Collect, maintain, and report KPIs in recurring updates”
  • Emphasize any hands-on experience in logistics or supply chain environments.
    — “Experience in operations, logistics, supply chain, or a customer-facing role”
  • Showcase your ability to translate field observations into actionable insights.
    — “Act as feet on the ground at customer and deployment sites: observe operations, capture issues and data, and relay what you see back to the team”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Tracked progress across commercial use cases
  • Collected and reported KPIs
  • Observed operations at customer sites
Typical background
Rising senior or recent graduate in Business, Industrial Engineering, Operations Research, Engineering

Skills & requirements

Required

Project ManagementKPI TrackingCustomer Site ObservationData AnalysisEvent Coordination

Preferred

OperationsLogisticsSupply ChainData Analysis And Dashboarding Tools

Stack & domain

BusinessIndustrial EngineeringOperations ResearchEngineeringOperationsLogisticsSupply ChainRoboticsAIData AnalysisDashboarding ToolsSQLPythonLookerCommercial Operations

About the role

Original posting from Figure AI via Greenhouse

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Commercial Operations Intern to join our Commercial team during Winter 2027. In summary, you will be a true extension of the team: you'll own real tasks from day one, track how our commercial use cases are progressing against their KPIs, and be our feet on the ground at customer sites.

Responsibilities:

Track progress across active commercial use cases and keep status, milestones, and blockers up to date for the team.

Collect, maintain, and report KPIs in recurring updates for the team and leadership.

Act as feet on the ground at customer and deployment sites: observe operations, capture issues and data, and relay what you see back to the team.

Coordinate across Commercial, Pilots, Engineering, and Operations to drive action items and open issues to closure.

Step in on real tasks and own projects end to end as the team's needs shift.

Requirements:

Rising senior or recent graduate in Business, Industrial Engineering, Operations Research, Engineering, or a related field; must be graduating within one year.

Strong organizational and communication skills, with comfort working with data in spreadsheets.

Willing to travel to customer sites and work hands-on in industrial environments such as warehouses and logistics facilities.

Bonus Qualifications:

Experience in operations, logistics, supply chain, or a customer-facing role.

Interest in robotics or AI, or experience with data analysis and dashboarding tools (SQL, Python, Looker, or similar).

The US base pay range for this full-time position is $30.00 to $40.00 per hour.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Source: Figure AI careers (Greenhouse)

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