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Software Product Manager - Internal Efficiency ART (m/f/d)

Advantest -
Böblingen

Jetzt bewerben

Details zur Stelle

vor 3 Tagen

Leistungen

Homeoffice-Möglichkeit

Qualifikationen

CI/CD
SAFe
Informatik
Master
Bachelor
Softwareentwicklung
Agile
Elektrotechnik
Softwareentwicklungszyklus

Vollständige Stellenbeschreibung

Advantest is a global leader in automatic test equipment for the semiconductor industry. Our V93000 platform is used to test the majority of the world's most advanced semiconductor devices.
We are looking for a Software Product Manager for the Internal Efficiency ART to define and drive software solutions that measurably improve internal engineering productivity, development efficiency, and software quality across 93K SW R&D.
In this role, you own the content direction of the Agile Release Train, translating organizational needs into a clear product strategy, roadmap, and prioritized backlog. A key focus of the ART is to establish the foundation for an AI-native software engineering organization. This includes defining and building shared AI platforms, services, and infrastructure that enable teams to integrate AI into their daily engineering workflows. The ART promotes AI-native engineering, enables teams to use AI securely, and transforms software development for better productivity, quality, and delivery.
You work closely with engineering leaders, development teams, and stakeholders within 93K SW R&D to improve efficiency across the entire software development lifecycle (SDLC).
This is a senior, hands‑on product role in a large‑scale software organization, located onsite in Boeblingen (partial remote work possible).

What you will do

Own the product vision, roadmap, and backlog for the Internal Efficiency ART.
Drive the organization's transition towards AI-native software engineering by defining and prioritizing high-impact initiatives that improve engineering productivity, software quality, and development efficiency.
Define and evolve shared AI and automation platforms, infrastructure, and services that enable teams to leverage AI and automation securely and efficiently.
Partner with engineering teams, Product Owners, and Business Owners to accelerate AI adoption and drive measurable improvements in engineering efficiency.
Define and structure EPICs and features across distributed teams and Product Owners.
Promote reuse, standardization, and alignment across locations and Business Units.
Establish meaningful metrics to measure adoption, productivity improvements, and business impact.
Work closely with the Release Train Engineer to ensure effective execution while maintaining ownership of product strategy and priorities.

Requirements:

Essential Qualifications

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Strong technical background in software engineering, software architecture, and modern software development practices.
Proven experience as Product Manager, Product Owner, Program Manager, or Project Manager for large-scale software solutions.
Strong understanding of AI technologies, large language models, AI agents, and their application to software engineering and engineering productivity.
Strong understanding of software development processes, CI/CD, development tooling, automation, and engineering analytics.
Ability to define strategy, prioritize effectively, and balance competing business demands.
Experience driving technology adoption, organizational change, or engineering transformation initiatives in large software organizations.
Strong communication, coaching, and stakeholder management skills.
Very good English skills and willingness to travel internationally (approx. twice a year).

Preferred Qualifications

Experience with large (>500 engineers) distributed software projects with strong HW/SW interaction.
Experience in scaled agile environments (e.g. SAFe).
In depth knowledge of Advantest products and solutions (93K, T2K, SLT, ASV, Memory, …)
Background in regulated industries (automotive, medical, aerospace).
German, Japanese, and/or Chinese language skills.

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