Product Manager - Data & AI (f/m/x) at Tourlane GmbH
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

06 Jul, 25

Salary

0.0

Posted On

06 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

EXPLORE YOUR NEXT ADVENTURE WITH US!

Welcome to Tourlane! We’re a tech company on a mission to provide the best experience in travel.
We provide fully personalized, multi-stop trips to 35 destinations around the world and counting. With over 100,000 travellers in the DACH region and France, we’re on our way to becoming Europe’s leading travel company.
We know that vacation time is precious. Our goal is to help customers discover the world and create lasting memories. We focus on creating tailor-made experiences for our customers because we believe life is too short for standard travel.
We’re looking for a Product Manager - Data & AI to join our team and embark on this journey with us.

Responsibilities

KEY RESPONSIBILITIES

  • Product Portfolio Management: Manage the lifecycle and performance of our existing data and AI products.
  • Performance Monitoring and Analysis: Define, track, and analyze key performance indicators for data and AI products, including both leading indicators (e.g., recommendation accuracy) and lagging indicators (e.g., conversion rates, quoting times).
  • Data Product Health: Define, measure, and continuously improve the overall health and quality of our data product portfolio.
  • New Product Discovery: Drive the ideation, discovery, and validation of new data and AI product opportunities, with a particular focus on leveraging generative AI to create innovative solutions.
  • Product Strategy and Roadmap: Define and maintain clear product roadmaps aligned with the company’s strategic objectives and the needs of both internal teams and end-users.
  • Requirements Definition: Translate business needs and user insights into detailed product requirements and specifications.
  • Cross-functional Collaboration: Work closely with data scientists, engineers, marketing, sales, and other internal stakeholders to ensure successful product development and launch.
  • Data Analysis and Data Storytelling: Independently perform data analysis and visualization for product management, e.g. for stakeholder communication, assessing product health and prioritizing opportunities.
  • Market Research: Stay up-to-date on the latest trends and advancements in data science, machine learning, and generative AI.
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