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Duvo is an AI-powered automation platform that helps large retailers and consumer-goods companies redesign and automate operational workflows across ERPs, portals, spreadsheets, email, and phone calls. The company raised a $15M seed round led by Index Ventures and serves customers including major European online grocers, global beauty e-commerce brands, and retail groups across Europe and the Middle East.
You will join the pre-sales team as a senior individual contributor, sitting between sales and engineering. You own the technical narrative in enterprise deals, running discovery workshops with customers' operations and IT teams, designing pilots that move deals from interest to signature, and handing off cleanly to the Forward Deployed Engineering team once signed. You report directly to the founder/CEO and work closely with Account Executives in your region.
Key responsibilities:
- Conduct discovery and process mapping with customer teams to understand systems, handoffs, exceptions, and approvals; translate findings into a pilot scope with clear success criteria.
- Connect proposed solutions to measurable business outcomes: margin, availability, working capital, revenue, or cycle time.
- Build and demo pilots against the customer's actual workflow, data structure, approval rules, and write-back targets—no generic presentations.
- Own technical evaluation: security reviews, integration sizing, RFPs, architecture questions, and IT objections. Escalate to Product or Engineering only when necessary.
- Guide customers through early platform testing, including kickoffs, workflow captures, and issue resolution.
- Exercise judgment to push back on scope, timelines, or success metrics that won't work.
- Remain engaged through pilot delivery, then transition the deal cleanly to Forward Deployed Engineering.
- Build reusable demo assets, runbooks, and discovery patterns to accelerate the team.
You are the first pre-sales hire in your region and will shape the pre-sales playbook the team operates from.
REQUIREMENTS:
- 5+ years in pre-sales, solutions engineering, applied AI, enterprise automation, or forward-deployed work, selling or delivering into enterprise operations, IT, or finance buyers. Retail or consumer goods experience is a plus.
- Hands-on with modern AI systems—LLMs, agentic workflows, tool use, evaluation, and practical limits—not just conceptual knowledge.
- Strong process discovery and systems thinking; ability to understand unfamiliar operations and identify leverage points.
- Comfortable with APIs, JSON, webhooks, SQL, and light Python or JavaScript. Not required to be a software engineer, but must be able to investigate and prototype.
- Strong commercial judgment: qualify use cases, size value, spot buying signals, and know when to escalate.
- Excellent communication: shift between operators, architects, and executives; explain complex systems clearly.
- Track record of crisp, discovery-led demos rather than long product presentations.
- Fluent English and willingness to travel to customer sites.
