Onsite Factory Deployment Engineer

Conduit; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Conduit is hiring a customer-first Field Deployment Engineer to work directly with OEMs and operators in US manufacturing sites. You will own end-to-end deployments, translate needs into actionable data, and collaborate with our engineering team in SF to turn on-site observations into scalable features.

You'll travel frequently, talk to CEOs and line managers, and move deployments forward even when multiple issues arise. This role puts you on the front lines of industrial AI.

Qualifications

• 3+ years post-undergrad, or 1+ year post-MBA, of demanding, high-output work.
• Top management consulting, investment banking, strategy or operations at a top startup, or comparable.
• You crave problems to solve and battles to win, and have a track record of stomping mediocrity.
• You have a real technical track record. We want to see a deployment you owned, something you built, or a product with your name on it.

Responsibilities

• Own deployments end to end. From the first site visit through scoping, integration, commissioning, go-live, and the first month of ramp.
• Lead integration work with our robotics partners, the customer's existing automation, PLCs, MES/ERP, and the rest of the factory floor stack.
• Be the technical face of Conduit at the customer.
• Translate customer reality into clean briefs for our home base engineering team. Turn "the line keeps stalling at 2pm" into a real problem statement with the right data attached. Your direction will become a scalable product feature benefitting all of our customers.
• Travel frequently. Some weeks will be entirely onsite. We support manufacturers across the country - the factory is where the work is.

Skills

People skills

Technical track record

Stakeholder communication

Deployment ownership

Job description

Conduit is hiring a customer-first Field Deployment Engineer to work directly with OEMs and operators in US manufacturing sites. You will own end-to-end deployments, translate needs into actionable data, and collaborate with our engineering team in SF to turn on-site observations into scalable features.

You'll travel frequently, talk to CEOs and line managers, and move deployments forward even when multiple issues arise. This role puts you on the front lines of industrial AI.