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Product Marketing IV

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Applied Materials
Full Time position
Listed on 2026-06-23
Job specializations:
  • IT/Tech
    Product Engineer
Salary/Wage Range or Industry Benchmark: 152000 - 208500 USD Yearly USD 152000.00 208500.00 YEAR
Job Description & How to Apply Below

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting‑edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.

If you want to push the boundaries of materials science and engineering to create next‑generation technology, join us to deliver material innovation that changes the world.

What We Offer Salary: $152,000 – $208,500

Location:

Santa Clara, CA
You’ll benefit from a supportive work culture that encourages learning, developing, and growing 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. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees and are committed to providing programs and support that encourage personal and professional growth.

Key Responsibilities
  • Own and manage Service & Spares product portfolio including product offerings, options, and configuration structures aligned to Product Option Architecture
  • Drive end‑to‑end Configure, Price, Quote (CPQ) workflows to improve quote velocity and enable efficient quoting
  • Define and maintain product configuration rules including valid product combinations, options, and constraints
  • Identify recurring configuration and quoting issues and implement workflow improvements
  • Simplify configuration rules, reduce non‑standard quotes, and improve guided selling
  • Partner with Sales and Business Development teams to support accurate and efficient product configuration
  • Analyze quote data to identify root causes of delays such as configuration errors, approvals, and constraints
  • Translate business pain points into prioritized CPQ requirements, user stories, and acceptance criteria
  • Establish and track key metrics such as quote cycle time, deal cycle time, and exception rates
  • Develop dashboards, reports, and analytics to drive data‑driven decision making
  • Deliver actionable insights to improve configuration efficiency and overall business performance
  • Ensure accuracy and reliability of product marketing data, reports, and dashboards
  • Support deployment readiness via training, job aids, and workflow guidance for Sales
  • Collaborate cross‑functionally within Opportunity‑to‑Cash processes
Functional Knowledge
  • Demonstrated hands‑on technical proficiency with deep familiarity, the candidate must be able to work independently at a technical level with minimal assistance
  • Languages and Tools: SQL, Python, Excel, Tableau, Databricks or others
  • Preferred experience using SQL and/or Python for data cleansing, data quality improvement, and preparing datasets for reporting and business use
  • Exposure to AI enabled workflows, including agentic AI concepts and tools will be a plus
Business Expertise

Strong understanding of a high‑scale service business (~$5B revenue) and ability to drive efficiency through data‑driven insights.

Leadership

Leads cross‑functional initiatives to enhance product configuration, CPQ workflows, and quote‑to‑cash efficiency.

Problem Solving

Solves complex configuration and quoting challenges using analytical and scalable solutions.

Impact

Direct impact on quote velocity, sales efficiency, and revenue realization.

Interpersonal Skills

Strong communication skills with ability to translate complex concepts to technical and non‑technical stakeholders.

Qualifications
  • Bachelor’s degree in engineering or data science; a master’s degree in marketing is a plus
  • Minimum 5 years’ experience with product portfolio management, product marketing, preferably managing Service recurring revenue as a product
  • 5‑10 years of experience with Configure, Price, Quote (CPQ) product functionality and best practices
Employment Details

Time Type:
Full Time

Employee Type:
Assignee / Regular

Travel:
Yes, 10% of the Time

Relocation Eligible:
N…

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