Senior Product Manager Automation & Data Applications
Job Description
We are looking for a Senior Product Manager to own Automation & Data Applications at Keboola. This is where users design and schedule automated data workflows, manage complex orchestration logic, query data interactively, and build customer-facing data applications that run on Keboola infrastructure.
This role sits at the intersection of developer tooling and business accessibility. Your users range from data engineers building complex pipelines and managing Git-synced code, to business analysts who need to create workflows and data apps without writing a line. You need to speak both languages fluently - and obsess over making the experience work for both. The best product here isn't the one with the most features; it's the one where more people successfully build things.
The competitive landscape is evolving fast - from app-building tools like Lovable and Base44 to workflow platforms like Zapier, Make, and n8n. You need to understand not just what competitors ship, but why users choose them.
We want someone who is AI-native by default - prototyping, analyzing, and writing specs with AI as a matter of course - and who can shape how AI transforms our product, from assisted flow building to intelligent automation. You take full ownership of your domain, prioritize through data over gut feeling, and have a sharp commercial instinct - understanding what drives expansion and how product decisions connect to business outcomes.
This is not an engineering management position. We need someone with deep user empathy - a PM who spends time understanding real pain points, talks to users constantly, and translates those insights into a product strategy that moves metrics. You need to care equally about the data engineer who wants fine-grained control and the business analyst who just wants to get a workflow running without asking for help. If you lean more toward writing specs than talking to customers, this is not the right fit.
We are looking for a Senior Product Manager to own Automation & Data Applications at Keboola. This is where users design and schedule automated data workflows, manage complex orchestration logic, query data interactively, and build customer-facing data applications that run on Keboola infrastructure.
This role sits at the intersection of developer tooling and business accessibility. Your users range from data engineers building complex pipelines and managing Git-synced code, to business analysts who need to create workflows and data apps without writing a line. You need to speak both languages fluently - and obsess over making the experience work for both. The best product here isn't the one with the most features; it's the one where more people successfully build things.
The competitive landscape is evolving fast - from app-building tools like Lovable and Base44 to workflow platforms like Zapier, Make, and n8n. You need to understand not just what competitors ship, but why users choose them.
We want someone who is AI-native by default - prototyping, analyzing, and writing specs with AI as a matter of course - and who can shape how AI transforms our product, from assisted flow building to intelligent automation. You take full ownership of your domain, prioritize through data over gut feeling, and have a sharp commercial instinct - understanding what drives expansion and how product decisions connect to business outcomes.
This is not an engineering management position. We need someone with deep user empathy - a PM who spends time understanding real pain points, talks to users constantly, and translates those insights into a product strategy that moves metrics. You need to care equally about the data engineer who wants fine-grained control and the business analyst who just wants to get a workflow running without asking for help. If you lean more toward writing specs than talking to customers, this is not the right fit.