Drimva

Avathon

Forward Deployed Design Lead — Product Lifecycle Management

$170K–$200K

Austin, Texas, United States +2 · Full-time · Posted Sep 23, 2026

Location
Austin, Texas, United States
Pleasanton, California, United States
Pleasanton, California, United States
Experience
6+ years in PLM implementation, industrial systems delivery, or a UX/design role embedded in client-facing delivery.
Education
Bachelor's degree in Engineering, Computer Science, Industrial Design, or a related technical field.
Visa sponsorship
Must be authorized to work in the United States without current or future company sponsorship.

About the job

Own customer-site design, configuration, implementation, and adoption of Avathon’s AI platform in PLM environments, connecting engineering and manufacturing workflows with PLM and adjacent systems.

What you'll do

  • Configure PLM workflows, product structures, BOMs, integrations, and analytics; validate data and deployment readiness.
  • Map customer processes and create implementation-ready interface and workflow designs, then validate them with users.
  • Deliver training and client support, track adoption, and improve deployments after go-live.

What they ask for

  • Hands-on implementation or configuration experience with one or more enterprise PLM platforms.
  • Bachelor’s degree in Engineering, Computer Science, Industrial Design, or a related technical field.
  • Willingness and ability to travel up to 80%; based in Pleasanton, CA or Austin, TX.
  • Must be authorized to work in the United States without current or future company sponsorship.

Nice to have

  • Experience designing and delivering PLM user training; Figma preferred.
  • Experience with MBSE methodologies (SysML, Cameo, Rhapsody) is a plus.

Pay

$170,000 - $200,000 USD base salary

Tools

Siemens Teamcenter, PTC Windchill, Dassault 3DEXPERIENCE, SAP PLM, Oracle Agile PLM, Figma, SysML, Cameo

AI focus

Implement and configure Avathon’s AI platform in PLM environments, including AI-enriched analytics and AI-driven part similarity, anomaly detection, and change-management capabilities; support adoption of AI recommendations.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)