✅ About Klar

• Klar is the Data Operating System for growing eCommerce companies - Klar gives eCom brands a holistic understanding of their business across their three main drivers of growth - customer acquisition, retention and profitability.
• We work with over 1.000 eCom brands - leading international brands like Loop Earplugs, Holy, Wild and hundreds more use Klar to make better decision every day.
• We deeply empathise with the struggles of our customers - after having worked most of the last 10 years in e-commerce companies, we know their pain and built Klar to help.
• Our guiding principle is Do Work You Are Proud Of - we emphasize long-term quality over short term results.

If you want to learn more about Klar, click here.

🎯 Where this role sits

Klar’s Measurement (Attribution) team is a small, cross-functional team that holds end to end ownership for the Measurement domain.

The goal of the team is to help our customers understand the effectiveness of their marketing spend and make budgeting decisions that drive up efficiency.

To accomplish this, the team leverages multi-touch attribution powered by our own first-party tracking, marketing mix modelling and incrementality testing.

The team works as a unit of collective ownership: they keep the context, make decisions close to the work, and carry accountability for outcomes in their domain. This role sits inside that team as a product individual contributor.

Ownership of decisions and outcomes for Attribution sits with the team. Your contribution is to bring clarity and context, pull the right people into conversations, and help the team line up its work with Klar’s strategy and with what is genuinely helpful for merchants.

🎯 Your responsibilities

• 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.
• 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.
• 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 is choosing 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 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.