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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in configuring AI-driven platforms and building prototypes that align with customer workflows and compliance requirements. Possesses strong technical communication skills to engage with diverse stakeholders and translate customer needs into actionable product feedback.
Highest-signal resume keywords
Sales Engineering ExperienceSaaS Application DevelopmentPython (Django/FastAPI)Enterprise IT Landscape UnderstandingFluent in German and Strong in English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonDjangoFastAPITypeScriptAngularREST APIsPostgreSQLSSO/SAMLERP Integration PatternsCloud Platforms
Soft Skills
Strong Demo SkillsOwnership MindsetTechnical Communication
Tools & Technologies
Prospeum's AI-driven SRM PlatformIntegration TemplatesTechnical Documentation
Industry Keywords
ProcurementSupply ChainRegulatory ComplianceRFP/RFQ ResponsesCustomer Workflows
Tech Stack
Tools & technologiesAngularAWSAzureCloudDjangoERPPostgresPythonTypeScript
About the role
Key responsibilities & impact- Build prototypes, proof-of-concepts, and custom configurations that demonstrate measurable value for specific customer environments
- Configure and adapt Prospeum's AI-driven SRM platform to customer workflows, ERP landscapes, and compliance requirements
- Lead technical deep-dives, live demos, and hands-on workshops with procurement, IT architecture, and security teams
- Travel to customer sites for discovery workshops and technical validation sessions
- Translate customer requirements into product feedback and scalable feature proposals for Engineering
- Partner with Sales, Product, Engineering, and Founders as the technical owner of deal success
- Build reusable demo environments, integration templates, and technical documentation that accelerate future deals
- Support RFP/RFQ responses with technically accurate, codebase-informed answers
- Configure intelligent workflows and build PoCs that solve real procurement problems
- Prove to enterprise IT teams that AI in procurement works
Requirements
What you’ll need- 2–4 years of experience in sales engineering, technical consulting, solutions architecture, or a hands-on engineering role with customer exposure
- Comfortable building and extending SaaS applications: Python (Django/FastAPI), TypeScript (Angular), REST APIs, PostgreSQL — or equivalent stack experience
- Solid understanding of enterprise IT landscapes: SSO/SAML, ERP integration patterns (SAP, S/4HANA), cloud platforms (AWS, Azure)
- Ability to switch fluently between a C-level business conversation and a technical architecture whiteboard session
- Strong demo skills — you know how to tell a story with working software, not slides
- Ownership mindset: you'd rather ship a working PoC than wait for a perfect spec
- Interest in procurement, supply chain, or regulatory compliance is a plus — domain expertise isn't required
- Fluent in German and strong in English
- Willingness to travel (~20-30% of the time)
Benefits
Comp & perks- Hybrid work: 3 days in the office, 2 from home
- Competitive compensation with a performance bonus linked to deals
- Direct access to the founders: You'll work alongside the CEO and CTO, not through layers
- Annual development budget for courses, conferences, and certifications
- AI-native product: You'll be selling and configuring cutting-edge procurement intelligence, not legacy software
- Real enterprise exposure: Work with customers like LBBW, Siemens, and OECD from day one
