Associate Solutions Engineer Jobs in Valley Stream, NY

At Qloo, our cutting‑edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, music artists, media, brands, and more, plus a globe‑spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences.

From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter.

And the best part? Qloo’s API suite is powered by cultural entities, not personal identities—ensuring our insights are derived without relying on personally identifiable information.

As we expand our investment in LLMs and AI agents, we are building the next generation of intelligent systems that combine generative models with structured taste intelligence—bringing reliability, explainability, and real‑world grounding to AI applications.

We are looking for an Associate Solutions Engineer who wants to jump into a fast‑paced AI growth environment at Qloo, partnering directly with the VP of Solutions to help land and expand the business selling a cutting edge AI driven Consumer Insights API. You will be working in both a pre‑ and post‑sales capacity, bringing your expertise to boutique, unique, Enterprise deals with Fortune 500 companies, while also helping to close repeatable and scalable Commercial and Corporate deals with a small, agile sales team. This role is the perfect next step for someone who wants to grow their skills as an SE in a startup environment where you get to wear many hats and work closely with teams across the entire organization.

• Partnering as a Trusted Technical Advisor during and after the sales cycle, adeptly addressing client inquiries and concerns during both pre‑sales and post‑sales.
• Owning the relationship and working with larger API clients in a Post‑Sales capacity to understand their application workflow and helping them integrate it with the Qloo API.
• Speaking to Qloo’s business value in a room with Chief Product Officers, VPs of Design and Innovation, and Heads of Engineering while also being able to talk nitty‑gritty on the technical side with Data Scientists and Engineers.
• Fostering seamless collaboration between internal technical teams and sales teams, ensuring clear communication of product capabilities, enhancements, and innovations.
• AI Application Prototyping and Development. You are familiar with AI tooling and are excited about building out custom solutions / demos for customers using Qloo’s cultural insights as the backbone. You take and integrate feedback quickly, thinking on your feet to know how to connect with customers.
• Knowledge Transfer and Enablement, communicating internally and externally how Qloo’s technology functions, uplifting internal resources while keeping external resources educated on updates, new features, etc.

• At least 2 years of experience in Sales Engineering, Forward Deployed Engineering, Solutions Architecture, and/or Technical Consulting
• A strong understanding of APIs and AI tools, with the ability to articulate technical details to both technical and non-technical stakeholders in a clear and compelling way
• Experience working with SQL, Python, Postman, and large databases is a must.
• A "can-do" self-starter mentality with the ability to roll‑up your sleeves, dive into the weeds, and thrive in a fast‑paced, ambiguous start‑up culture.
• Excellent communication and presentation skills and adept at managing multiple priorities, clients, and meeting deadlines
• Ability to wear many hats and communicate across teams internally and externally to solve problems
• Bonus points: You have built, or possibly even sold, your own data‑related AI applications

• Competitive salary and benefits package, including health insurance, retirement plan, and paid time off
• A collaborative, low‑ego work environment where your ideas are valued and your contributions are visible
• Direct exposure to cutting‑edge work at the intersection of generative AI and large‑scale recommendation systems
• Flexible work arrangements (remote and hybrid options) and a healthy respect for work‑life balance