Enterprise Sales Engineer
New York, United States · Full-time
- Posted 2w ago
- From Skan AI’s careers page
- Location
- New York, United States
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Department
- Sales
Opens the listing on skanai.keka.com
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About the role
THE ROLE
You will be one of the first sales engineers at Skan, working with three account executives on named enterprise accounts. You own the technical side of those deals from first qualification to signature: which processes are worth automating, whether it can be done inside the customer's environment, how the proof of concept is designed, and getting through architecture and security review.
The technical sales motion for agentic AI in regulated industries has not been written yet. You will help write it, and what you build will be used by the people we hire after you.
WHAT YOU WILL DO
- Own technical qualification: which process to target, whether it is feasible in the customer's environment, and what the proof of concept has to demonstrate.
- Scope proofs of concept and agree written exit criteria with the customer before work begins.
- Design the deployment per account, across cloud, customer-hosted, hybrid and on-premise, including virtual desktop, thick client and mainframe, with the data residency and recording constraints attached to each.
- Lead architecture and security review as a technical conversation: data flow diagrams, evidence packs, vendor risk responses.
- Build commercial proposals with your account executives, including deployment pricing and customer business cases.
- Write the statements of work, infrastructure requirements and order form exhibits.
- Build reusable assets that make the next deal faster.
WHAT WE ARE LOOKING FOR
- Five or more years in sales engineering, pre-sales or solutions architecture, selling to large regulated enterprises.
- Technical owner on deals of $250K and above, with six to twelve month cycles and several stakeholder groups.
- You have taken a customer through a full information security or vendor risk review.
- You can scope a proof of concept and defend its success criteria to a sceptical buyer.
- Working knowledge of on-premise and private cloud, virtual desktop environments, data residency, and settings where recording or data extraction is restricted.
- You write well. Much of this job is written, and much of it reaches the customer without a review step.
Skills they ask for
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About Skan AI
Work intelligence for enterprise AISkan AI maps how work happens across enterprise operations and uses that context to support process intelligence, operational improvement, and enterprise AI agents.
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In your inbox every Wednesday and SaturdayPersonalised suggestions from verified career pages, matched to your role, location, level and skills.