Senior Product Marketing Manager – AI & Digital Integration for Process Development

Santa Clara, CA (On-site)

$174K/yr – $240K/yrSenior Level8+ years expFull time

Posted 4 weeks ago

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Job Summary

Own the strategic direction and integration of digital platforms and AI in semiconductor process development, turning multiple data sources into usable insights and guiding adoption across product, engineering and BU teams.

  • Define how platforms are structured, surfaced, and consumed to maximize value.
  • Drive end-to-end solutions aligned to customer workflows and research priorities.
  • Lead adoption strategy, surface adoption barriers, and prioritize high-impact use cases for cross-functional impact.

Job Description

Responsibilities

  • 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
  • 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

Requirements

  • 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

Preferred

  • 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

Benefits

  • You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers.
  • We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.
  • Applied Materials provides programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go.
Applied Materials logo

Applied Materials

Applied Materials is the leader in materials engineering solutions that are at the foundation of virtually every new semiconductor and advanced display in the world. The technology we create is essential to advancing AI and accelerating the commercialization of next-generation chips. At Applied, we push the boundaries of science and engineering to deliver material innovation that changes the world.We look forward to engaging with you on compelling topics about the semiconductor industry. We want to hear from you, but offensive comments that create an unpleasant environment for our community will be removed. Thanks for your understanding.

Founded in 1967
Santa Clara, California, USA
30K employees (686 in marketing)

Traffic Signals

Monthly Visitors
321.4K
Traffic Source Mix
Search
37.6%
Direct
41.9%
Referral
11.2%
Social
6.2%
Paid
3%

Headcount Trend

Current headcount: ~29.6K

Marketing Team

Marketing Team Size
531 (2% of company)
Marketing Roles Posted (Last 30 Days)
10