The Role
Own the technical sales process for enterprise agentic AI deals, from qualification through signature. Scope proofs of concept, define success criteria, design cloud, hybrid, customer-hosted, and on-premises deployments, and lead architecture and security reviews. Develop commercial proposals, statements of work, infrastructure requirements, and order form exhibits while creating reusable sales assets. The role serves regulated enterprises and requires expertise in sales engineering, solutions architecture, vendor risk reviews, and complex enterprise deal cycles.
Summary Generated by Built In
About Skan AI
Be at the Forefront of the Agentic AI Revolution
At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.
Why Skan AI
We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.
Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.
Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.
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.
HELPFUL, NOT REQUIRED
- Insurance claims or underwriting, banking operations, or healthcare revenue cycle depth.
- Process mining, task mining, intelligent automation, or applied LLM and agent products.
- Agent frameworks, managed model services, retrieval or evaluation tooling.
Benefits
- 100% coverage of Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Unlimited Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long-Term Disability
- Work From Home
- Stock Option Plan
Skan AI is an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace around the world. We do not discriminate based on race, color, religion or belief, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, disability, medical condition, genetic information, marital or family status, military or veteran status, or any other characteristic protected by applicable laws in the locations where we operate.
We welcome people from all backgrounds and provide reasonable accommodations throughout the hiring process.
Skills Required
- Five or more years of experience in sales engineering, pre-sales, or solutions architecture
- Experience selling to large regulated enterprises
- Experience owning the technical side of deals valued at $250,000 or more
- Experience with six- to twelve-month enterprise sales cycles and multiple stakeholder groups
- Experience taking a customer through a full information security or vendor risk review
- Ability to scope proofs of concept and defend success criteria to buyers
- Working knowledge of on-premises and private cloud environments
- Working knowledge of virtual desktop environments
- Working knowledge of data residency and restricted recording or data extraction environments
- Experience in insurance claims or underwriting, banking operations, or healthcare revenue cycle
- Experience with process mining, task mining, intelligent automation, or applied LLM and agent products
- Experience with agent frameworks, managed model services, retrieval, or evaluation tooling
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The Company
What We Do
Skan AI is an enterprise AI company that provides a process intelligence and automation platform. By observing how work actually happens, Skan creates a 'Context Graph of Work' and digital twins of operations. This allows Fortune 500 companies to understand the telemetry of their digital operations, enabling confident automation and lasting transformation through AI agents trained on operational reality.
