Help enterprise clients achieve measurable outcomes with Keboola by driving transformation through data and aligning client goals with our platform’s full potential.
Build and nurture trusted advisor relationships with customer stakeholders and executive sponsors.
Manage a portfolio of 15+ accounts - balancing high-touch engagement with scalable processes.
Collaborate with Technical Account Managers to drive adoption, usage, and successful deployment.
We value face-to-face teamwork - be ready for on-site customer meetings.
Identify upsell and cross-sell opportunities through consultative engagement.
Conduct account reviews and present recommendations that drive customer value and growth.
Serve as an internal advocate for customers - influencing product, support, and engineering priorities.
Contribute to internal process improvements within the Customer Success organization for scale and efficiency.
Oversee client contracts, renewals, and upsells.
Drive customer storytelling - turning success cases into powerful narratives for sales and marketing.
3+ years of experience in Customer Success, Account Management, or similar roles within B2B SaaS or data/tech companies.
Fluent in Czech and English, with excellent communication and presentation skills.
Strong technical aptitude - experience with data platforms, ETL/ELT, APIs, or analytics tools a plus.
Proven ability to manage multiple stakeholders, align business and technical needs, and deliver measurable outcomes.
Demonstrated project management skills - able to orchestrate resources, timelines, and client goals.
Strategic thinker with strong commercial acumen and a focus on driving mutual value.
Highly organized, proactive, and accountable - with a passion for continuous learning and process improvement.
Education Stipend
Budget for education.
Flexible Work Hours
No set office hours and flexibility.
Paid Time Off
25 PTO's plus 3 sick days.
Remote-Friendly
You need to be 2-3 times a week in the office.
Keboola builds a hybrid, multi-cloud data platform that simplifies data management by automating processes and consolidating fragmented information. It serves innovative companies looking to harness the power of data for advanced analytics and AI, making complex data environments manageable and valuable.
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Enterprise Customer Success Manager Q&A's