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Product Manager - CAD Engineering Lead

Job in Morgan Hill, Santa Clara County, California, 95038, USA
Listing for: Specialized Bicycles, Inc.
Full Time position
Listed on 2026-08-15
Job specializations:
  • Engineering
    CAD/ AutoCAD/ Mechanical Design, Engineering Design & Technologists, Product Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
Product Manager - CAD Engineering Lead Skip to main content

To improve your experience, we use cookies to enable essential features of this web application. Additionally Specialized may use cookies to track information for site traffic and to facilitate applications using Linked In profiles. To allow these additional features please click "Accept Cookies" below# Careers Product Manager - CAD Engineering Lead page is loaded## Product Manager - CAD Engineering Lead Apply locations:
United States, CA, Morgan Hill (Office) time type:
Full time posted on:
Posted 11 Days Agojob requisition :
R0011783

Product Manager - CAD Engineering Lead The CAD Engineering Lead owns the digital backbone of how we design, develop, and deliver product. From the engineer’s first sketch in CAD through release into manufacturing and service, this role is responsible for the platforms, data, and processes that make product development fast, reliable, and scalable. It is a deliberate evolution beyond traditional CAD administration—less about keeping the lights on, and more about shaping how engineering works s is a strategic, business-aligned position with an operational role.

The person in this seat will be expected to think in terms of roadmaps, business cases, and measurable outcomes, while remaining close enough to the technology to make confident architectural decisions. They will partner across Engineering, IT, Supply Chain, and Manufacturing to ensure our engineering systems are a competitive advantage rather than a constraint on growth.
** What You'll Do
**** Own the Engineering Systems Landscape
** You will be accountable for the architecture, configuration, performance, and roadmap of our CAD and PDM/PLM platforms—making sure they are stable on their own and integrated cleanly into the broader ecosystem.
* Own the architecture, configuration, and performance of CAD and PDM/PLM platforms
* Ensure seamless integration across CAD, PLM, ERP, and manufacturing systems
* Define a system roadmap aligned to product development and supply chain strategy
** Establish Governance and Standards
** Engineering at scale depends on consistency, and consistency depends on standards. You will define and enforce the standards that allow engineers across geographies to work as one team.
* Establish and enforce CAD modeling standards
* Define data structures, naming conventions, and BOM governance
* Own release and change management processes
* Drive consistency across global engineering teams
** Protect the Digital Thread
** Product data has to flow accurately from design into manufacturing and on into service—without distortion, duplication, or loss of context. You will own that flow end to end.
* Ensure product data flows accurately from design → manufacturing → service
* Own product data quality, version control, and traceability
* Eliminate duplication, rework, and downstream errors
** Drive Engineering Productivity
** Engineers should spend their time engineering, not fighting tools. You will improve productivity through targeted automation and performance tuning, and serve as the escalation point when complex issues block the team.
* Deliver automation through scripts, templates, and design reuse
* Optimize performance for large assemblies and overall system speed
* Define and deliver a training strategy for engineers and designers
* Act as escalation point for complex technical and system issues
** Lead Transformation and Continuous Improvement
** This role is expected to lead, not just maintain. The bar is real, measurable productivity gains—not technology adoption for its own sake.
* Lead PLM modernization and upgrade initiatives
* Drive cloud CAD / SaaS adoption
* Advance the move to model-based engineering (MBE)
* Evaluate emerging engineering technologies (simulation, digital twins, MBE)
* Drive adoption of AI-accelerated CAD — generative and topology-optimized design, AI-assisted part search and design reuse, automated simulation setup, and intelligent validation — to compress design cycles, reduce duplicate parts, and scale engineering expertise
* Identify and deliver measurable productivity gains
** Manage Vendors and Partners
** Our engineering…
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