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

About This RoleAI processing…

Key Responsibilities

• 1
  Act as the product IC inside the Measurement (Attribution) team – one peer among engineering, data, data science and design – focused on framing problems and options rather than directing people.
• 2
  Keep the team close to real customer problems: turn domain expert input, support conversations, sales feedback, research, and merchant calls into clear problem statements and opportunity areas.
• 3
  Work with data science and engineering to understand how Attribution behaves across merchants and channels, and surface possible errors and inaccuracies.
• 4
  Frame options when the team is choosing what to do next – making trade-offs, risks, and constraints explicit so the team can make informed decisions together.
• 5
  Align ideas coming from the team against Klar’s strategic imperatives.
• 6
  Help the team keep a tidy, current picture of what it has chosen to focus on – a simple roadmap, a clear backlog, and well-shaped work items – without turning this into a heavy process.
• 7
  Make sure decisions and learnings are written down in plain language – short docs, decision records, clear Linear issues – so that people inside and outside the team can follow what is happening without extra meetings.
• 8
  Share what the team is learning about Attribution with others at Klar, so that expectations set by strategy, sales, marketing, and support line up with what the product actually does.

Requirements

• You have around 5 or more years in product management or a similar product-focused IC role in tech, ideally with some exposure to digital marketing, analytics, measurement, or eCommerce.
• You are comfortable operating without formal authority: you influence through clarity, context, and good judgement, not through hierarchy or supervision.
• You like working in small, stable teams that own a clear domain end to end, and you treat outcomes as a shared responsibility rather than something you “hand over” to others.
• You care about data quality and reliability, and you are willing to reduce scope, simplify, or pause new ideas when trust in the numbers is at stake.
• You are naturally curious and enjoy diving deep into new domains and strive to understand them in their entirety.
• You can turn complex or technical topics into simple explanations and flows, and you are willing to do the unglamorous work of tidying thinking, writing things down, and closing loops.
• You are comfortable with remote, flexible work – setting clear expectations, communicating in writing, and using the right mix of synchronous and asynchronous collaboration to keep momentum.
• Experience working 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.
• Prior exposure to the domain of data science and product development that is driven by research.
• Some familiarity with different measurement approaches and their trade offs.
• A working grasp of performance and profitability metrics that matter to DTC teams, such as CAC, ROAS, CLV, and contribution margins.
• Comfort working with data at a slightly deeper level than dashboards – reading and writing SQL, pulling your own cuts from an analytics or BI tool, and sanity-checking odd patterns before bringing them to the team.
• Awareness of privacy and tracking constraints in modern eCommerce (GDPR, browser tracking limits, first-party vs third-party scripts) and how these shape what is realistically possible in attribution.

Perks & Benefits