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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Manager - Digital Integration for Semiconductor Process Development - **Company:** Applied Materials - **Location:** Santa Clara, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $174,000.0 - $239,500.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Data Systems, Machine Learning, Data Streaming, Systems Integration, Web Platforms, Information Technology, Data Analytics, Data Management - **Published:** September 4, 2026 - **Apply:** https://www.themuse.com/jobs/appliedmaterials/sr-technical-manager-digital-integration-for-semiconductor-process-development ## About the Role * Master's degree in engineering, Physics, Materials Science, Computer Science, or related field * 8+ years of experience in technical product marketing, product management, or related roles * Strong understanding of semiconductor process development, or process control is a must * Experience working with data platforms, analytics systems, or AI-driven solutions in a technical environment is a must * Proven ability to work across cross-functional teams and influence stakeholders at multiple levels * Demonstrated ability to translate complex technical concepts into clear business and customer value, * PhD in Engineering, Materials Science, or related field * Experience in semiconductor equipment, process engineering, or yield/process optimization * Familiarity with AI/ML applications in manufacturing, process control, or analytics * Experience driving multi-system integration or ecosystem-level product strategy * Strong customer-facing experience, including presentations, workshops, and solution enablement ## Description We are seeking a Sr technical manager - digital integration for semiconductor process development to drive the strategic direction, integration, and adoption of advanced digital solutions across our semiconductor ecosystem. This role sits at the intersection of technology, product strategy, and semiconductor process development, with responsibility for aligning and orchestrating multiple digital platforms and AI-driven systems into a cohesive, scalable solution framework. The ideal candidate combines strong product thinking, technical depth, and domain expertise in semiconductor processes to translate complex systems into integrated workflows and actionable insights that deliver measurable value to customers and internal stakeholders. Key Responsibilities 1. Digital Strategy & Solution * Define the strategic positioning and role of key digital platforms and AI-driven systems within the broader ecosystem * Develop a clear end-to-end solution aligned to semiconductor process development workflows and customer needs * Identify overlaps, gaps, and opportunities to simplify and strengthen the digital portfolio * Provide strategic recommendations to leadership on technology direction, integration priorities, and investment focus 2. Integration & Insight Orchestration * Own the integration of insights into internal digital platforms, ensuring data and analytics from multiple digital sources are effectively leveraged * Define: + What insights should be integrated into systems + How they are structured, surfaced, and consumed + Where AI-driven recommendations provide the highest value * Partner with product, engineering, BU process team to drive alignment and execution of integration initiatives * Identify and address gaps in data flow, system connectivity, and insight usability 3. Adoption Strategy & Enablement Leadership * Define and drive the adoption strategy for digital tools and AI solutions across internal teams and customer environments * Identify adoption barriers such as fragmented workflows, unclear value, or limited usability * Establish priority use cases and target user segments to guide adoption efforts * Provide direction on how to drive adoption for maximum business impact ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Project Fugu: Extending the web](https://www.wearedevelopers.com/videos/832-project-fugu-extending-the-web) - [The Billion Dollar Machine: First Time Right.](https://www.wearedevelopers.com/videos/393-the-billion-dollar-machine-first-time-right) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Should Tech Managers Be Developers First? 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