$138,500 - $235,500 USD yearly
Originally posted 16 July 2026 by the employer.
About the role
KLA is seeking a Sr. Technical Solutions Manager to drive the market strategy, go-to-market execution, and growth for Fault Detection and Classification (FDC), Virtual Metrology (VM), and AI-powered Yield Enhancement software solutions. The role partners with semiconductor manufacturers, foundries, IDMs, memory customers, and OSATs to expand data-driven manufacturing intelligence.
What you'll do
- Develop and execute product marketing strategies, competitive positioning, and value propositions for FDC, Virtual Metrology, and yield enhancement software solutions. - Engage directly with foundries, IDMs, memory manufacturers, and OSATs through Voice of Customer (VoC) programs, customer advisory sessions, and technical forums. - Partner with Product Management, Engineering, Applications, and Data Science teams to translate customer requirements into software roadmap priorities, pricing, and packaging. - Create executive presentations, white papers, customer success stories, and product launch collateral to translate complex analytics and process control features into business outcomes. - Equip field sales, applications, and business development teams with competitive insights, technical sales collateral, and sales enablement training.
What you'll need
- Bachelor's degree with 8+ years of experience, Master's degree with 6+ years of experience, or PhD with 3+ years of experience in Engineering, Computer Science, Data Science, Physics, Mathematics, Semiconductor Manufacturing, Business, or a related field (or 10+ years across product marketing, product management, semiconductor manufacturing, yield engineering, process control, or manufacturing software). - Working knowledge of semiconductor manufacturing operations, process control methodologies, and yield management systems. - Familiarity with Fault Detection & Classification (FDC), Virtual Metrology (VM), Statistical Process Control (SPC), and Advanced Process Control (APC) integrations. - Demonstrated experience marketing or supporting software products and data-driven manufacturing analytics platforms. - Proven track record of translating technical capabilities into commercial value propositions and influencing cross-functional teams.
Nice to have
- Master's degree, MBA, or PhD in a technical discipline. - Direct operational experience with semiconductor foundries, memory manufacturers, or logic fabs. - Technical understanding of Artificial Intelligence (AI), Machine Learning (ML), Predictive Analytics, Digital Twin technologies, or Smart Manufacturing initiatives. - Working knowledge of manufacturing data architectures, MES systems, APC ecosystems, and factory automation environments. - Familiarity with semiconductor process modules including lithography, etch, deposition, CMP, metrology, and inspection. - Direct experience launching enterprise software, SaaS platforms, or manufacturing intelligence solutions.
Skills: Fault Detection & Classification, Virtual Metrology, Yield Enhancement, AI/ML-Driven Process Optimization, semiconductor manufacturing, product marketing