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

Das ist der Job

A key focus of the ART is to establish the foundation for an AI‑native software engineering organization.

Darum lohnt es sich

This includes defining and building shared AI platforms, services, and infrastructure that enable teams to integrate AI into their daily engineering workflows. Your work closely with engineering leaders, development teams, and stakeholders within 93K SW R&D to improve efficiency across the entire software development lifecycle (SDLC).

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. Strong technical background in software engineering, software architecture, and modern software development practices. Very good English skills and willingness to travel internationally (approx. twice a year).

Benefits Flexibility Benefits Development Fitness Security Flexible and trust-based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part-time models and programs for extended periods of absence.

Software Product Manager - Internal Efficiency ART (m/f/d) Advantest – We enable 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. Responsibilities 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. 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.

Qualifications Essential Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 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.

Preferred Qualifications Experience with large (>500 engineers) distributed software projects with strong HW/SW interaction. Experience in scaled agile environments (e.g. 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. Location Onsite in Boeblingen with partial remote work possible. Attractive salary, share in Advantest’s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing).

Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions. Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days.

Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations. #J-18808-Ljbffr