Own the technical sales process for enterprise AI automation deals, from qualification and proof-of-concept scoping through architecture, security review, pricing, and contract execution. Design deployments across cloud, hybrid, customer-hosted, and on-premises environments while addressing data residency and recording restrictions. Partner with account executives on business cases and commercial proposals, write statements of work and infrastructure requirements, and develop reusable sales assets. The role serves large regulated enterprises with complex, multi-stakeholder sales cycles.
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.
- You write well. Much of this job is written, and much of it reaches the customer without a review step.
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.
Similar Jobs
Artificial Intelligence • Computer Vision • Security • Software
Partner with sales teams on enterprise, channel, and commercial opportunities. Deliver product demonstrations, technical presentations, evaluations, pilots, proofs of concept, and proofs of value. Translate platform capabilities into security and business outcomes, advise customers and partners, contribute to proposals and account strategy, enable channel partners, and collaborate with Product, Engineering, Customer Success, and Channel teams.
Top Skills:
AWSGoogle Cloud PlatformIp NetworkingL2 SwitchingL3 NetworkingLinux NetworkingAzurePhysical Access Control SystemsSaaSSecurity CamerasVideo Management SystemsVlans
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own the technical pre-sales cycle for strategic public-sector and enterprise customers. Partner with sales executives on complex deals, align customer requirements with IoT hardware, SaaS dashboards, APIs, integrations, and cloud solutions, and conduct proof-of-concept hardware deployments. Build customer relationships, develop business justifications, mentor sales engineers, and support technical enablement. The remote role covers the Eastern Time Zone Midwest region and requires approximately 50% travel.
Top Skills:
SparkAPIsAutomationCan BusCloud SoftwareCloud-Connected HardwareControl SystemsDatabricksDelta LakeEsriIotJavaScriptLinuxMlflowNetworkingPythonSaaS
Artificial Intelligence • Software
Own the end-to-end technical pre-sales process for federal and state government customers. Scope use cases, communicate business value, build and deliver demos, lead architecture reviews, and serve as a trusted technical advisor. Partner with Sales, Product, and Engineering to improve the AI platform, support capture and market strategy, and help establish the public sector team. Apply AI tools to discovery, solution design, prototypes, demos, and technical proposals while maintaining accuracy and customer trust.
Top Skills:
Ai AgentsArtificial Intelligence (Ai)Fedramp
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
