Applied Materials

1 month ago

Product Line Management III -AI Product Assessment

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Own product change management and approvals (PCM/ECO/PCN/NSR), ensuring accurate customer configurations and BOMs. Lead product line strategy using AI-driven product assessment, lifecycle analytics, and data-backed decisions, translating business needs into enterprise AI/LLM requirements and scalable AI roadmaps. Develop and govern AI solutions with LLM/ML concepts and enterprise integration, while coordinating roadmaps, cost reduction, vendor issues, and intercompany alignment.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Own product change management (PCM) and manage unreleased product approval, including ECO approval and PCN implementation.
•Ensure accuracy of customer shipped configurations and BOMs; run CaRM reviews for BOM accuracy and handle NSR approvals.
•Provide guidance to Engineering and the Business Unit on field service impact of part/supplier changes.
•Own common modules roadmap and implement roadmap work post Phase 5 of ePLC, including obsolescence and replacement planning.
•Lead AI-driven product assessment strategy and govern AI solutions; facilitate intercompany alignment for product strategies, pricing, spare levels, and restricted parts orders.

Travel: Low travel

Key Requirements

•Lead product line strategy using AI-driven product assessment, lifecycle analytics, and data-backed decision making.
•Translate business needs into enterprise AI/LLM requirements and scalable AI application roadmaps.
•Develop and govern AI solutions with understanding of LLMs and MI/ML concepts, including enterprise integration.
•Have mid-level prompt engineering proficiency as a Copilot power user.
•Own product change management after release, including PCM, ECO approvals, PCN implementation, NSR approval, and configuration/BOM accuracy.

Skills:LeadershipProblem-solvingConsensus buildingJudgmentInterpersonal communication

Tech Stack:AILLMsMI/MLPrompt engineeringCopilotEnterprise integrationAgileAutoCADChange ControlECOPCNBOMEPLC

Company Brief

Applied Materials

Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.

Industry: Industrial Machinery

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1967

Glassdoor: 3.9

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Applied Materials

1 month ago

Product Line Management III -AI Product Assessment

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Own product change management (PCM) and manage unreleased product approval, including ECO approval and PCN implementation.
•Ensure accuracy of customer shipped configurations and BOMs; run CaRM reviews for BOM accuracy and handle NSR approvals.
•Provide guidance to Engineering and the Business Unit on field service impact of part/supplier changes.
•Own common modules roadmap and implement roadmap work post Phase 5 of ePLC, including obsolescence and replacement planning.
•Lead AI-driven product assessment strategy and govern AI solutions; facilitate intercompany alignment for product strategies, pricing, spare levels, and restricted parts orders.

Travel: Low travel

Key Requirements

•Lead product line strategy using AI-driven product assessment, lifecycle analytics, and data-backed decision making.
•Translate business needs into enterprise AI/LLM requirements and scalable AI application roadmaps.
•Develop and govern AI solutions with understanding of LLMs and MI/ML concepts, including enterprise integration.
•Have mid-level prompt engineering proficiency as a Copilot power user.
•Own product change management after release, including PCM, ECO approvals, PCN implementation, NSR approval, and configuration/BOM accuracy.

Skills:LeadershipProblem-solvingConsensus buildingJudgmentInterpersonal communication

Tech Stack:AILLMsMI/MLPrompt engineeringCopilotEnterprise integrationAgileAutoCADChange ControlECOPCNBOMEPLC

Company Brief

Applied Materials

Industry: Industrial Machinery

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1967

Glassdoor: 3.9

Website LinkedIn Glassdoor