Klar

Product Owner - Marketing Measurement (m/f/d)

Stellenbeschreibung:

Tasks

Klar’s Measurement (Attribution) team is a small, cross‑functional team that holds end‑to‑end ownership for measurement. The goal is to help customers understand marketing spend and budget decisions.

  • Act as the product IC among engineering, data, data science, and design, focusing on framing problems and options instead of directing people.
  • Keep the team close to real customer problems: turn domain expert input, sales feedback, research, and merchant calls into clear problem statements and opportunity areas.
  • Work with data science and engineering to understand how attribution behaves across merchants and channels, and surface possible errors and inaccuracies.
  • Frame options when the team chooses what to do next – making trade‑offs, risks, and constraints explicit so the team can make informed decisions together.
  • Align ideas coming from the team against Klar’s strategic imperatives.
  • Help the team maintain a tidy, current picture of focus – a simple roadmap, a clear backlog, and well‑shaped work items – without turning this into a heavy process.
  • Record decisions and learnings in plain language – short docs, decision records, clear issues – so people inside and outside the team can follow what is happening without extra meetings.
  • Share the team’s learning about attribution with others at Klar, ensuring expectations set by strategy, sales, marketing, and support line up with the product.

Requirements

About You

  • At least 5 years of product management or a similar product‑focused independent contributor role in tech, ideally with exposure to digital marketing, analytics, measurement, or eCommerce.
  • Comfortable operating without formal authority: influence through clarity, context, and good judgment.
  • Enjoy working in small, stable teams that own a domain end‑to‑end and treat outcomes as shared responsibility.
  • Care about data quality and reliability, willing to reduce scope or pause new ideas when trust in the numbers is at stake.
  • Curious, enjoys diving deep into new domains and striving to understand them fully.
  • Able to simplify complex or technical topics into clear explanations and flows, and willing to do the unglamorous work of tidying thinking, writing things down, and closing loops.
  • Comfortable with remote, flexible work – setting expectations, communicating in writing, and using the right mix of synchronous and asynchronous collaboration.

It would be helpful (but not required) if you also have:

  • Experience with direct‑to‑customer eCommerce brands similar in scale to Klar’s core customers.
  • Prior exposure to marketing attribution tools or data pipelines – tracking scripts, naming conventions, attribution models.
  • Experience in the domain of data science and product development driven by research.
  • Familiarity with different measurement approaches and their trade‑offs.
  • Understanding of performance and profitability metrics for DTC teams such as CAC, ROAS, CLV, and contribution margins.
  • Comfort working with data beyond dashboards – reading and writing SQL, pulling your own cuts from an analytics or BI tool, sanity‑checking odd patterns before bringing them to the team.
  • Knowledge of privacy and tracking constraints in modern eCommerce (GDPR, browser tracking limits, first‑party vs third‑party scripts) and how these shape attribution feasibility.

Benefits

  • Work with an experienced founding team – founders with C‑Level experience in companies now listed on the NYSE or raised over €100 m.
  • Autonomy & Ownership – drive the development of our measurement product, a core reason brands work with Klar.
  • Top‑of‑market compensation .
  • Exposure to both B2B SaaS and eCommerce – learn how to grow both types of businesses.
  • Work from anywhere – Klar is distributed‑first; Global team with 75 % working remotely.

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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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