Senior Sales Engineer

Reposted 11 Days Ago
Be an Early Applicant
Prague
Hybrid
Senior level
Software • Analytics
The Role
The Senior Sales Engineer will partner with Account Executives, lead technical discovery, conduct product demonstrations, and manage proof-of-concept engagements to drive revenue and ensure customer success in data solutions.
Summary Generated by Built In
Keboola raised $32M (Central Europe’s largest Series A in 2023) to redefine how companies work with data. Our platform delivers 10x results for customers and now we’re scaling globally to help data teams work faster, smarter, and with greater impact.

Our platform turns messy data chaos into governed, automated pipelines that power analytics and AI and now we need a Sales Engineer who can bring that story to life for customers.

This isn’t traditional pre-sales. Think technologist, storyteller, and builder. You’ll architect solutions that turn data problems into automation wins, prove value through live demos and POCs, and help customers imagine what’s possible when data actually flows.

About the Role

As a Senior Sales Engineer, you will play a critical role in driving revenue by partnering with Account Executives to engage with prospective customers. You will lead technical discovery, deliver compelling product demonstrations, and guide prospects through proof-of-concept (POC) engagements to ensure a seamless and successful technical validation process.

Your expertise in data workflows, APIs, and SaaS architectures will help customers understand how Keboola can solve their most pressing data challenges. Additionally, you will act as a thought leader within the Sales Engineering team, sharing insights, best practices, and innovations to elevate team performance.

Key Responsibilities

  • Deliver tailored product demonstrations that align with client needs and use cases.
  • Support Account Executives (AEs) during discovery and technical validation phases to ensure prospects meet success criteria.
  • Own and manage the end-to-end delivery of POCs, ensuring alignment with client objectives, clear milestones, and a successful handoff to post-sales teams.
  • Develop data-driven workflows and API integrations within Keboola’s platform to showcase its capabilities.
  • Act as a domain expert within the Sales Engineering team, supporting AEs in complex discussions and sharing best practices.
  • Contribute thought leadership content to promote Keboola’s platform within the data community.

What We Look For

  • Strong experience in Sales Engineering, Data Analytics, Data Engineering, or similar technical role within a SaaS or data-driven environment (ideally 5+ years experience). Note: We find that professionals with data analyst backgrounds often excel in this role given their strong analytical foundations and customer-facing experience.
  • Expertise in ETL workflow design, data tools, and analytics to solve complex problems.
  • Ability to translate customer challenges into actionable solutions using Keboola.
  • Effective communicator who can engage both technical and non-technical audiences.
  • Self-starter with a collaborative mindset and a passion for innovation.
  • Experience with financial analysis is a plus.

Technical Skills & Competencies

  • SaaS & Data Expertise: Understanding of SaaS architecture, data workflows, and ETL processes.
  • Problem-Solving & Solution Design: Hands-on experience with data tools, analytics, and technical demonstrations.
  • Customer-Focused Approach: Ability to design tailored solutions for diverse industries (e.g., hospitality, e-commerce, finance).
  • Data Acumen: Strong foundation in data modeling, SQL, and working knowledge of Python.
  • Documentation & Reporting: Proficiency in documenting technical workflows and best practices.

You can look forward to the following benefits

  • Competitive compensation.
  • Generous paid vacation time. And we mean generous.
  • Cool new offices in the heart of Holesovice in Prague. You need to be 2-3 times a week in the office.
  • No set office hours and flexibility.

Keboola’s Core Values

  • Care, love and respect
  • No BS
  • Get your stuff done and do a bit more
  • Create and innovate
  • Learn!
  • One team

Equal Opportunity Statement

Keboola is an Equal Opportunity Employer. We are committed to fostering an inclusive, equitable, and diverse workplace where everyone, regardless of race, colour, religion, gender, national origin, age, disability, veteran status, genetic information, or any other protected status, is given equal opportunity to thrive.
We value the unique perspectives and experiences of all employees and applicants, and we strive to ensure that all employment decisions are based on merit, qualifications, and business needs.

More About Keboola

Every day, Keboola connects data, systems, and people to do their best work all in one place. Keboola is a hybrid, multi-cloud data platform that reduces data complexity by streamlining and automating processes. Hundreds of innovative companies rely on Keboola to unlock the power of their data, bringing the potential of AI and advanced analytics to life. For more information, visit keboola.com or connect with us on LinkedIn, Twitter, and Facebook.

Top Skills

Analytics
APIs
Data Tools
Data Workflows
ETL
Python
SaaS
SQL
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The Company
HQ: White Rock, British Columbia
84 Employees
Year Founded: 2008

What We Do

Keboola is a cloud-based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products in a quick and easy fashion.

Operating and servicing clients for 8 years, we help a wide array of businesses from financial, travel, hospitality, retail and gaming industries, we help them significantly reduce or eliminate:
• Time spent on repetitive maintenance tasks
• Adoption time and learning curves needed for outdated systems
• Drawn-out menial responsibilities which detract from efficiency

Building on knowledge of programming that is available in the market such as SQL, R, Python etc…., we allow clients achieve unparalleled time to value ratio with all Keboola Connection implementations. Majority of our customers are completely self-serving from the inception of their project.

We partner with professional services companies to build the right solutions for our clients. Our Developer partners build apps that seamlessly integrate their services and algorithms into our structure, making functions like predictive analytics and machine learning instantly available to our customers with no integration work required. We cast technology alliances with platforms that help our clients consume the data and insights in the ways most suitable for their particular use cases.

Let us show you how to #DoMoreWithData.

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