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Open nowPosted 3 days ago

Technical Product Owner IT After Sales (m/w/d)

PMX92 open roles

Where
Landkreis Böblingen
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Your applicationOpen nowTechnical Product Owner IT After Sales (m/w/d)PMX · Landkreis Böblingen

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PMX's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 3 days ago

The posting

Deine Aufgaben

  • Konzeption und Neuentwicklung einer digitalen Systemlandschaft für technische Service- und Werkstattinformationen
  • Definition technischer Leitplanken, Schnittstellen und Architekturentscheidungen
  • Sicherstellung bestehender Systemketten und Schnittstellen
  • Analyse und Übersetzung von Business-Anforderungen in IT-Anforderungen und technische Lösungen
  • Erstellung von IT-Konzepten, Lösungsarchitekturen und Spezifikationen
  • Planung und Steuerung der IT-Umsetzung über mehrere Softwarelieferanten
  • Erstellung und Priorisierung von Epics, User Stories und Product Backlogs nach agilen Methoden
  • Koordination von Entwicklung, Umsetzung und Softwarelieferanten
  • Steuerung des Testmanagements einschließlich Testfallerstellung und Softwarequalitätsprüfung
  • Sicherstellung eines hochverfügbaren und performanten Betriebs inklusive Application Management und KPI-Steuerung
  • Unterstützung bei kritischen Störungen und Eskalationen im laufenden Betrieb

Dein Profil

  • Abgeschlossenes Studium mit IT-Schwerpunkt, z. B. Informatik oder Wirtschaftsinformatik
  • Mehrjährige Erfahrung im IT-Produkt-, Projekt- oder Architekturmanagement
  • Kenntnisse in Cloud-Technologien, insbesondere Amazon Web Services, DevSecOps, Microservices, APIs und datengetriebenen Architekturen
  • Erfahrung mit künstlicher Intelligenz und deren Einsatz in Softwareentwicklung und Prozessanalyse
  • Kenntnisse in technischer Dokumentation für Entwicklung, Produktion oder After Sales, idealerweise im Automotive-Umfeld
  • Erfahrung in der Steuerung komplexer IT-Projekte und im Stakeholdermanagement
  • Ausgeprägte Kenntnisse in Software- und Lösungsarchitektur sowie agilen Methoden wie Scrum oder Kanban
  • Erfahrung mit Jira, Confluence, CI/CD-Pipelines und IT-Application-Management
  • Sehr gute Deutsch- und Englischkenntnisse
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against PMX's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on PMX's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    PMX's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

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