Elisabeth Reitmayr

Critic
DISC Type : C

Head of Engineering - AI & Data at Parloa

Berlin, Berlin, Germany

Overview

Elisabeth Reitmayr leads AI and Data engineering teams at Parlo, focusing on delivering impactful, customer-facing agentic AI products. She has deep experience architecting scalable data and machine learning platforms from the ground up and modernizing legacy systems. She is a graduate of Ludwig Maximilian University Munich.

Outside of her work in technology, Elisabeth is a passionate skier and mountaineer, indicating a strong interest in challenging outdoor and mountain sports. This suggests a personality that is driven, resilient, and enjoys pushing boundaries both professionally and personally.

Unique fact: She is a recipient of the Munich Research Award for Auditing.

Personality Overview

Objective Thinker

Critic

Precise

They don’t appreciate bells and whistles unless backed by data.  They like to do things independently and don’t look for support from others. They are quite likely to negotiate on pricing or other key terms.

Topics They Care About

Reliable AI Agents
She frequently speaks about using AI evaluations and robust lifecycle management to improve the performance, reliability, and trust of AI agents in production.
Data & AI Platforms
Her experience includes migrating on-premise platforms to GCP and she actively discusses leveraging modern architectures like the Databricks lakehouse for real-world AI applications.
Agentic AI Experiences
As Head of Engineering at Parlo, she leads teams building core platform capabilities for agent builder tooling and cutting-edge, customer-facing AI experiences.

Media Appearances

Elisabeth has no verified media appearances

Work History

1-2024
Head of Engineering - AI & Data at Parloa
1-2022 - 1-2024
Director of Data at ResearchGate
5-2020 - 3-2022
Head of Data & Insights at ResearchGate
4-2019 - 5-2020
Lead Product Analytics Manager at ResearchGate
10-2015 - 6-2017
Co-Founder & MD / Data Analytics at patya analytics

Education

2007 - 2014
Magister Artium (Rank 2) from Ludwig Maximilian University Munich
2012 - 2013
Education details unavailable from Bayerische EliteAkademie

More Information

Social Presence :

Prographics :

Exp : 8 Location : Berlin, Berlin, Germany Job Level : Mid-senior Designation : Head of Engineering - AI & Data at Parloa
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Insights For Selling To Elisabeth

During A Call Or A Meeting

DO's

  • Be ready for penetrating questions and critical examination of your pitch
  • Be formal and objective, they will appreciate it more
  • Tell them what ROI they can expect

DONT's

  • Do not use very emotional or colorful language
  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t rush them till they have clearly gotten all the necessary information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Elisabeth is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Elisabeth

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Elisabeth move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Elisabeth take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Elisabeth

Personality Compatibility


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