Senior Product Manager, PLM

Pleasanton, California, United States. Posted 25 days ago

The role

The Senior Product Manager will own the vision, roadmap, and priorities for Product Lifecycle Management on the Avathon platform. This role involves connecting existing PLM systems to a Computational Knowledge Graph using AI to support BOM management, engineering change impact, and NPI support.

What you will do

Own the vision, roadmap and priorities for PLM on the platform
Understand market systems like Siemens Teamcenter, PTC Windchill, Dassault 3DEXPERIENCE, Oracle Agile, Aras and Arena
Decide which PLM connectors and data models are core product or customer configuration
Define how PLM data feeds Planning, Logistics and asset maintenance
Spend time with engineering, configuration management and manufacturing teams at customer sites
Work with Forward Deployed Design Leads to turn deployment learnings into reusable product requirements
Work with sales and solution architects on positioning, demos and competitive deals
Track adoption and value such as change cycle time and BOM sync latency
Write clear requirements and acceptance criteria for engineering and AI science
Run sprint planning and release reviews with the engineering lead

Required qualifications

8+ years in product management
At least 4 years owning a PLM product or module
Experience at a PLM vendor or leading PLM at a large manufacturer
Deep understanding of BOM management (EBOM, MBOM), engineering change, variants, effectivity and configuration management
Understanding of how PLM integrates with CAD/PDM, ERP, MES and quality systems
Experience shipping AI or ML driven product features to enterprise customers
Experience in automotive, aerospace, defense, semiconductor equipment or industrial manufacturing
Strong written communication
Bachelor's degree in Engineering or Computer Science

Nice to have

About the company

Avathon is an Industrial AI autonomy platform that helps customers in heavy industries accelerate the journey toward autonomous operations. The platform uses a Computational Knowledge Graph to connect operational data across siloed systems.