Customer-Facing Data Engineer for Production Deployments

FDE Times; North Carolina; Remote; USD 120,000 - 170,000; Full time

Job summary

Rerun is building the data stack for Physical AI. This hands-on, customer-embedded engineering role puts you at the sharp end of deployments, working with robotics and spatial-AI teams to get data flowing and problems solved in customer environments.

You will run technical discovery, scope solutions, and tackle hard data and infrastructure challenges. You’ll feed recurring issues back to engineering and coordinate across Rerun and the customer to keep deployments moving.

Qualifications

• Strong in Python and hands-on data work.
• Able to learn fast and work through ambiguity.
• Comfortable being customer-facing: asking probing questions, surfacing hidden requirements, and coordinating across teams.
• Genuinely energized by understanding someone else's problem and solving it with them.
• ~30% travel to spend time with customers during deployments.

Responsibilities

• Run technical discovery and scope solutions for customer problems.
• Solve hard data and infrastructure problems inside customers' production environments.
• Feed recurring issues, patterns, and product gaps back to Rerun's engineering and product teams.
• Coordinate work across Rerun and the customer to keep deployments moving.

Skills

Python

Data engineering

Customer-facing

Learning agility

Ambiguity handling

Job description

Rerun is building the data stack for Physical AI. This hands-on, customer-embedded engineering role puts you at the sharp end of deployments, working with robotics and spatial-AI teams to get data flowing and problems solved in customer environments.

You will run technical discovery, scope solutions, and tackle hard data and infrastructure challenges. You’ll feed recurring issues back to engineering and coordinate across Rerun and the customer to keep deployments moving.