Sr. Technical Solutions Manager – Process Control & Yield Management Advanced Software Solutions & AI (E)
Position Summary
The Technical Solutions Manager will serve as the market and business leader responsible for driving product positioning, go-to-market strategy, customer engagement, and portfolio growth for KLA's software solutions focused on: Fault Detection & Classification (FDC), Virtual Metrology (VM), Advanced Process Control (APC) integrations, Yield Analytics, Manufacturing Intelligence, and AI/ML-Driven Process Optimization.
Key Responsibilities
Develop and execute long-term product marketing strategies for KLA's FDC, Virtual Metrology, and Yield Enhancement software portfolio.
Analyze semiconductor manufacturing trends, Smart Factory initiatives, Industry 4.0 adoption, and AI-driven process optimization opportunities.
Assess market dynamics, customer needs, and competitive landscapes to identify growth opportunities.
Provide strategic recommendations that influence product investment priorities and business planning.
Define compelling value propositions that clearly communicate customer benefits including yield improvement, cycle-time reduction, process optimization, and productivity gains.
Create product messaging, positioning frameworks, and competitive differentiation strategies.
Create executive-level presentations, customer-facing content, white papers, web content, customer success stories, and product launch materials.
Translate complex AI, analytics, and process control capabilities into clear business outcomes.
Engage directly with semiconductor manufacturers, foundries, IDMs, memory customers, and OSATs to understand emerging manufacturing challenges.
Conduct Voice of Customer (VoC) initiatives to identify unmet market needs and solution opportunities.
Lead customer advisory discussions and participate in strategic account engagements.
Represent KLA at industry conferences, customer workshops, and technical forums.
Partner closely with Product Management, Engineering, Applications, and Data Science teams to align product strategy with customer requirements.
Influence software roadmaps based on market intelligence and customer feedback.
Assist in defining product packaging, pricing, and commercial strategies.
Support business case development for new product investments and market expansion opportunities.
Equip field sales, applications, and business development teams with effective messaging, competitive insights, and technical sales tools.
Develop sales training programs and customer engagement materials.
Support strategic opportunities and executive-level customer presentations.
Monitor market performance, adoption metrics, and competitive activity to drive growth initiatives.
Required Qualifications
Bachelor's degree in Engineering, Computer Science, Data Science, Physics, Mathematics, Semiconductor Manufacturing, Business, or related field.
10+ years of experience in product marketing, product management, semiconductor manufacturing, yield engineering, process control, manufacturing software, or related technical-commercial roles.
Strong understanding of semiconductor manufacturing operations and process control methodologies.
Familiarity with: Fault Detection & Classification (FDC), Virtual Metrology (VM), Statistical Process Control (SPC), Advanced Process Control (APC), Yield Management Systems, Manufacturing Analytics Platforms.
Experience marketing or supporting software products and data-driven solutions.
Proven ability to translate technical capabilities into business value propositions.
Excellent communication, presentation, and stakeholder management skills.
Demonstrated success influencing cross-functional teams without direct authority.
Preferred Qualifications
Master's degree, MBA, or PhD in a technical discipline.
Experience with semiconductor foundries, memory manufacturers, logic fabs operations.
Knowledge of Artificial Intelligence (AI), Machine Learning (ML), Predictive Analytics, Digital Twin technologies, or Smart Manufacturing initiatives.
Experience with manufacturing data architectures, MES systems, APC ecosystems, and factory automation environments.
Familiarity with semiconductor process modules including lithography, etch, deposition, CMP, metrology, and inspection.
Experience launching enterprise software, SaaS platforms, or manufacturing intelligence solutions.