Provide technical pre - sales support and shape security strategies for key accounts. Build partnerships, contribute to proposals and customer presentations, and drive project success.
About the role
- Pre-Sales Engineer at EdgeTier leveraging AI technology in customer service to create tailored solutions with exceptional team collaboration. Driving successful client connections and solution demonstrations.
Responsibilities
- Lead technical discovery with prospects to uncover pain points, data structures, and operational processes in customer service environments
- Design and deliver tailored demonstrations of EdgeTier’s products that address customer-specific needs, using real-world data and relevant use cases
- Translate business challenges into technical solutions leveraging EdgeTier’s platform capabilities — including APIs, AI models, dashboards, and analytics workflows
- Respond to RFPs and security/compliance questionnaires, working with internal experts to provide architecture diagrams, data flow documentation, and security overviews (EdgeTier is ISO 27001 certified)
- Collaborate cross-functionally with Sales, Product, and Engineering teams to ensure solution feasibility and influence product direction based on customer feedback
- Act as a technical thought leader, educating customers on AI in customer service, data-driven QA, and operational analytics
- Contribute to pre-sales assets such as slide decks, ROI models, demo environments, and competitive positioning guides
- Ensure smooth post-sale handover by providing documentation and technical context to Implementation and Customer Success teams
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline (or equivalent practical experience)
- Ideally 4–6 years of experience in a Sales Engineering or Solution Consulting role or Pre-Sales for a SaaS company
- Demonstrated success in technical pre-sales, POCs, and data integrations for enterprise clients
- Strong understanding of API integrations, SaaS platforms, and customer service technologies (e.g., Zendesk, Salesforce, Intercom, Freshdesk)
- (nice to have) Experience working with data analytics tools (e.g., SQL, Python, BI dashboards) and data transformation concepts (ETL, pipelines)
- Excellent presentation and storytelling skills — able to communicate complex concepts to both technical and business audiences
- Strong Customer experience knowledge
- Deep customer empathy and ability to connect technical functionality with business outcomes
Benefits
- generous share options
- bonus structure
- €2,000 annual budget for professional growth
- 23 days of annual leave
- fully paid sabbatical after 4 years
- increasing leave entitlements
- health insurance
- bike-to-work scheme
- company-matched pension plan
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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