15 beste Stellen als developer java in perlach – aktuell auf Personalsuche

Technical Program Manager, AI Systems
Google —München
- 128.000 € – 131.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Master
1 Tag
AI Developer Intern (m/w/d)
TRUSTEQ GmbH —München
- Vollzeit
- Datenanalyse
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Direkt bewerben
1 Tag
Senior SAP IS-U & FI/CO ABAP Application Developer (m/w/d)
Natuvion GmbH —München
- Vollzeit
- Homeoffice
- Java
Direkt bewerben
Senior Rust Developer
Workato —München
D360 Forward Deployed Engineer
Salesforce —München
- Vollzeit
- Informatik
- Bachelor
- Ohne Hochschulabschluss
4 Tage
Lead Software Developer (w|m|d)
BridgingIT GmbH —München
- Vollzeit
- Azure
- AWS
- Agile
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Expert Manager, Software Engineering
Bain & Co. —München
- Vollzeit
- Informatik
- Master
- Mit Reiseanteil
Direkt bewerben
(Senior) SAP ABAP Developer/ Architect – Technical Migration (m/w/d)
Natuvion GmbH —München
- Vollzeit
- Homeoffice
- Java
Direkt bewerben
Senior Fullstack Developer (m/w/d)
Envidual —München
- 78.000 € – 98.000 € pro Jahr
- Hybrides Arbeiten
- AWS
Direkt bewerben
Expert Senior Manager Software Engineering
Bain & Co. —München
- Vollzeit
- Informatik
- Master
- Mit Reiseanteil
Direkt bewerben
AI (Senior) Developer (m/w/d)
TRUSTEQ GmbH —München
- Vollzeit
- Datenanalyse
- Java
- Master
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Direkt bewerben
1 Tag
(Senior) Software Developer (w|m|d)
BridgingIT GmbH —München
- Vollzeit
- Azure
- Informatik
- Java
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Senior Site Reliability Engineer (m/w/d)
Impower GmbH —München
- Vollzeit
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Senior Android Developer
Envidual —München
- 68.000 € – 88.000 € pro Jahr
- Hybrides Arbeiten
- Agile
Direkt bewerben
Solutions Architect
MongoDB —München
- Homeoffice
- Bachelor
- Ohne Hochschulabschluss
- Mit Reiseanteil

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AI Developer Intern (m/w/d)
TRUSTEQ GmbH —München
Du unterstützt bei der Analyse und Aufbereitung von Daten speziell für (generative) KI-Use-Cases. Du unterstützt in Cloud-nativen Entwicklungsprojekten mit…
Direkt bewerben
1 Tag

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Technical Program Manager, AI Systems

Google -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
128.000 € – 131.000 € pro Jahr
vor 1 Tag

Qualifikationen

Doktorat
Informatik
Master
Bachelor
Produktmanagement

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor's degree in Computer Science, Data Science, a related field, or equivalent practical experience.
5 years of experience in Technical Program/Product Management or Engineering Management, with 2 years of experience in AI/ML projects.
3 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
2 years of experience leading software development and AI powered feature development or model improvement with distributed teams, managing execution across different locations and time zones.
Experience with data analysis and data tools (e.g., SQL, MySQL, Tableau, etc.).

Preferred qualifications:

Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
Experience with leading large scale technical projects or working with engineering teams.
Comfortable working with tools like Figma, Sheets, Slides, Docs, and other relevant productivity and collaboration platforms.
Ability to collaborate with executive internal stakeholders on high visibility projects across different functions and geographies to manage change and drive continuous improvement initiatives.
Ability to exercise technical judgment in solving software engineering challenges.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €128000 - €131000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Drive complex, cross-functional programs to scale our core developer systems and resolve bottlenecks created by the rapid adoption of AI-powered tooling.
Manage the lifecycle of high-visibility AI developer products, coordinating across multiple workstreams to ensure they meet Google's standards for quality, reliability, and usability.
Identify and resolve complex inter-team challenges, navigating strategic dependencies, product overlaps, and engaged dynamics to ensure a cohesive direction.
Partner with engineering leads to drive architectural alignment across multiple complex services and platforms, reducing technical debt and improving interoperability.
Help shape and execute an ambitious, long-term AI strategy for foundational developer tools, responding to user needs and executive goal.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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