Data Product Owner (m/f/d)

Salary: CHF 80'000 - 100'000 per year

Requirements:

3+ years in data roles, including at least 1–2 years with product or product-owner responsibility

A solid understanding of how a modern data platform fits together: ingestion, transformation, orchestration, and presentation

Hands-on experience with our stack or similar tools: Snowflake, dbt, Airflow, Airbyte, Python

Strong SQL. You can read a data model and question it.

Comfort translating between business and engineering, and the confidence to say no

Fluent English and comfortable with German

Responsibilities:

Shape how autoSense builds and uses data, and set priorities for the data team

Turn business and partner needs into data products

Own the data teams backlog: prioritise, refine, and run sprint planning

Work with internal stakeholders (sales, operations, finance, management) to shape requirements into clear, deliverable data products

Lead and coordinate the work of internal and external data engineers and developers, keeping priorities aligned and delivery on track

Own customer-facing data products for partners and customers, such as dashboards, reporting, and APIs

Drive a unified approach to data: set standards and define data models together with engineering and the business

Stay close to the code: review pull requests, prototype in SQL, and help debug issues across the pipeline

Technologies:

Airflow

AWS

Python

SQL

Snowflake

Tableau

dbt

Cloud

Product Owner

More:

About autoSense

autoSense AG is a fast-growing corporate start-up of the AMAG Group and Zurich Insurance, focused on charging solutions for electric vehicles. Our team brings together more than 10 nationalities and works with flat hierarchies on one of the central questions of the mobility transition: how employees and fleets can charge simply, predictably, and fairly – at home and on the road.

What we offer

- Flexible working and home-office options

- Central office in Zurichs Kreis 4 with access to the roof terrace

- A wide variety of lunch options nearby

- Fair compensation and further benefits

- The chance to shape the data foundation of a growing corporate start-up – with short decision paths and a direct line to management

last updated 42 week of 2026