Connexity, Inc.

Principal Product Manager

Connexity, Inc.

full-time

Posted on:

Location Type: Hybrid

Location: Karlsruhe • Germany

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Job Level

Lead

Tech Stack

BigQuery

About the role

  • Automation & Machine Learning: Allocate approximately 40%-50% of resources to integrating ML/AI models into the pricing logic. The objective is to increase pricing accuracy and eliminate the need for manual overrides and legacy configurations.
  • Architectural Strategy: Evaluate the current pricing framework and design the next-generation services required to support emerging campaign types, including Sponsorships and hybrid performance models.
  • Platform Ownership: Act as the primary owner for the pricing roadmap. Collaborate with Engineering and our analyst to define the most impactful requirements for data ingestion, enrichment, and storage layers. We do not want to ship just for the sake of it, we want to ship the right features with the biggest impact.
  • Operational Stability: Maintain the integrity of the existing pricing stack to ensure revenue stability while simultaneously architecting the transition to new systems.
  • Stakeholder Management: Serve as the technical authority on pricing for the product and commercial leadership teams, providing data-backed evidence for strategic shifts and marketplace adjustments.

Requirements

  • Seniority: Minimum of 8 years in Product Management, with a significant background in backend platform infrastructure and marketplace economics.
  • Technical Proficiency: Extensive experience working alongside Data Science/Analytics teams to deploy production-grade ML models. Familiarity with modern data stacks (e.g., BigQuery) is required.
  • Commercial Logic: A deep understanding of how pricing algorithms influence merchant ROAS, publisher yield, and overall marketplace health.
  • Independent Execution: Proven ability to manage a complex roadmap and drive cross-functional alignment without the need for a dedicated team of junior product managers.
  • Problem Solving: Demonstrated ability to resolve complex data dependencies and conflicting business requirements through rigorous analysis.
Benefits
  • A family-friendly environment
  • Flexible working hours and hybrid model for a good work-life balance
  • Modern offices (not open plan) with an ergonomic workplace
  • Pleasant feel-good extras for everyday life
  • Participation in the form of shares.
  • More about us and our benefits on Kununu
  • We are committed to providing a culture at Connexity that supports the diversity, equity and inclusion of our most valuable asset, our people. We encourage individuality and are driven to represent a workplace that celebrates our differences, and provides opportunities equally across gender, race, religion, sexual orientation, and all other demographics. Our actions across Education, Recruitment, Retention, and Volunteering reflect our core company values and remind us that we’re all in this together to drive positive change in our industry.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningArtificial IntelligenceData IngestionData EnrichmentData StoragePricing AlgorithmsBackend Platform InfrastructureProduction-grade ML ModelsComplex Roadmap ManagementData Analysis
Soft Skills
Stakeholder ManagementIndependent ExecutionProblem SolvingCross-functional Alignment