Pre-sales Engineer

D
Duvo IncAI, automation
Remote-first across the USFull-TimeSenior
Salary not disclosed
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Job Details

Languages
Fluent English. German or other European languages are a strong plus
Experience
5+ years in technical, customer-facing roles
Required Skills
PythonSQLArtificial IntelligenceJavascriptRESTful APIsJSONPrompt Engineering

Requirements

  • 5+ years in technical, customer-facing roles where you've shaped and won real deals
  • Experience working hands-on with AI and agentic systems in customer environments
  • Hands-on with modern AI tooling: LLMs, agent frameworks, prompt engineering, evals, MCP, retrieval
  • Strong systems thinking. Can read a customer's stack and find the leverage points
  • Comfortable in code-adjacent territory: SQL, Python or JS scripting, APIs, JSON, webhooks, light data work
  • Strong commercial instinct. You can size value, defend pricing, and qualify ruthlessly
  • Sharp communicator and presenter. Can lead a room of operators, technologists, or executives and adjust on the fly
  • Fluent English
  • Retail, e-commerce, or CPG background is a strong plus
  • Fluency in any operational domain (supply chain, procurement, category management, merchandising, finance ops, supplier management, warehousing) helps you sound credible faster in customer conversations

Responsibilities

  • Partner with AEs across the sales cycle. Lead the technical conversation from first call to close
  • Run discovery sessions with operational and technical stakeholders. Get to the real workflow fast
  • Map customer workflows on the Duvo platform and identify where agents create the most leverage
  • Size the value. Build defensible business cases tied to KPIs the customer's executive team already tracks
  • Design pilot scope: what gets built, what success looks like, what's measured
  • Demo Duvo against real customer scenarios, not canned examples
  • Build POCs and prototypes when a deal needs proof before commitment
  • Own technical responses to RFPs, security questionnaires, and architecture deep-dives
  • Push back on bad scope. Protect the deal and the delivery team from setups that won't work
  • Hand over to FDEs cleanly so what was sold is what gets built
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