Solutions Account Executive — eCommerce & Data Science

Royal Cyber is hiring five Solutions Account Executives in Chicago to lead the technical sales motion for our eCommerce and Data Science / AI practices. You'll run demos, lead webinars, and convert technical conversations into pipeline — without leaning on an architect to back you up.This is not a traditional sales role. It's not a pure engineering role either. We're hiring the rare profile in the middle — technical enough to own the demo, commercial enough to own the deal.ABOUT THE ROLEYou'll be the customer-facing lead for one of our two practices:- eCommerce — replatforming, headless and composable commerce, POCs across mid-market and enterprise retail and DTC brands- Data Science / AI — POCs and use-case discovery across machine learning, generative AI, MLOps, and data platform modernizationA typical week: two or three live demos in your sandbox, one webinar or partner event, discovery calls with prospects, and ongoing collaboration with our delivery teams. You own your demo environment end-to-end and stand up POCs without architect support.WHAT WE'RE LOOKING FOR- 2–3 years in solutions consulting, sales engineering, technical pre-sales, or technical consulting- Hands-on platform depth in either modern eCommerce (Shopify Plus, BigCommerce, Adobe Commerce, Salesforce Commerce Cloud, commercetools) or data and AI tooling (Snowflake, Databricks, SageMaker, Azure ML, Vertex AI, LLM platforms)- Demonstrated ability to deliver a platform demo unaided in front of an executive audience- Master's degree preferred (MBA, MS, or comparable) — we recruit actively from Kellogg, Booth, and comparable programs- US work authorization without ongoing sponsorship preferredCOMPENSATIONBase salary $ 55,000–$70,000. On-target variable compensation brings total OTE to $75,000–$95,000, calibrated to experience and practice depth.LOCATIONHybrid out of our Naperville HQ with regular days at our Chicago Loop office. 2–3 days onsite per week.HOW TO APPLYSend your resume and a short note covering two things: which practice you're targeting (eCommerce or Data Science / AI), and a demo or presentation you delivered that you're proud of — what the topic was, who the audience was, and how it landed.We read these.