Senior Pre-Sales Engineer
Build complex enterprise deals from the inside. Shape solutions, unblock sales, and help companies govern data products at scale in a growing, highly focused team.
About the role
As a Senior Pre-Sales Engineer (Europe-wide) at Witboost, you will be responsible for the technical and functional aspects of the sales cycle.
You will be a core member of the sales organization and a key contributor to winning complex enterprise deals. Your mission is to help prospects clearly understand how Witboost fits into their data ecosystem, how it supports their operating model, and why it enables scalable, governed data product delivery.
This is a senior, autonomous role, working closely with Sales, Product, Customer Success and Engineering across Europe.
How you’ll make an impact at Witboost
As a Pre-Sales Engineer, you will:
Prepare and deliver high-quality product presentations and demos, both onsite and remote
Help prospects understand how Witboost integrates with their existing ecosystem (data platforms, CI/CD, governance tools, catalogs, ticketing systems)
Support Sales in qualifying opportunities and shaping technically sound deal strategies
Define when a POC or MVP is the right next step and scope it clearly
Contribute to RFP/RFI responses and technical due diligence
Act as a bridge between customers and product, sharing feedback and field insights
Build reusable demo assets, solution patterns and reference architectures
A day in the life
You’ll report to the Head of GTM and typically:
Join discovery calls with Sales to understand customer context and constraints
Design a solution narrative that explains how Witboost fits, not just what it does
Run demos tailored to the customer’s architecture and maturity
Scope a POC or MVP that proves value without overengineering
Answer technical questions from architects, platform teams or governance leads
Align with Product and Engineering on roadmap, limitations and positioning
Proactively engage with prospects to clarify complex topics, unblock decision-making, and maintain momentum throughout the sales cycle.
What you bring
You have:
8–12+ years in technology roles, with a strong background in enterprise data architecture or data engineering
5+ years in a Pre-Sales / Sales Engineering role for complex enterprise software
Solid understanding of data management and governance challenges in large organizations
A proven track record of running successful demos and POCs in long sales cycles
Experience explaining complex platforms to both technical and executive audiences
You are
A strong communicator and confident presenter
Comfortable explaining architecture, processes and trade-offs
Pragmatic and sales-oriented: you know when “good enough” is better than perfect
Autonomous, structured, and accountable
Willing to travel across Europe
Fluent in English (French or German are a plus)
Why Witboost
We offer:
A senior role with real impact on sales outcomes
Exposure to complex, enterprise-grade data challenges at scale
A product that is not a commodity and requires real architectural and strategic thinking
A flexible, international working environment with close collaboration across teams
A small, focused and dynamic organization, where individual contribution truly matters
Strong growth prospects as the company and the team expand, with opportunities to grow in scope and responsibility over time
Compensation
Base salary: €90,000 – €110,000
Bonus: 10–20% ( sales support effectiveness and deal outcomes )
Total OTE: ~€100,000 – €130,000
(depending on experience)
Travel expenses covered
- Dipartimento
- Witboost
- Role
- Pre Sales Engineer
- Locations
- Remote
- Remote status
- Fully Remote
Witboost
-
Growth
+100% ARR in 2024 and 2025
-
Geo Expansion
South EMEA and US Expansion in 2026
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New Funding
New 8M Funding in 2026, for a total of 28M Funding
About Witboost
We revolutionize the way enterprises manage their Data & AI products at scale, elevating the data to be business-actionable by humans and AI.
Founded in 2022
Co-workers 25
About Agile Lab
We revolutionize how enterprises manage their Data & AI products at scale, making data business-actionable for humans and AI.
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