Solution Engineer (Early to Mid Level)

About SuperApp AI was single-player. SuperApp makes it multiplayer. SuperApp is building the AI collaboration super app—a shared workspace where people and leading AI models think, create, and make decisions together in real time. Instead of splitting communication, AI assistance, and content creation across separate tools, SuperApp brings group messaging, multi-model intelligence, and collaborative creation into one continuous experience. Teams can move from an initial conversation to a finished document, presentation, spreadsheet, or interactive app without losing the sources, decisions, feedback, and context that shaped the work. SuperApp is multi-provider by design: people can choose, pin, or compare leading models, while the platform can route each step to the capability best suited to the task. ( superapp.chat ) About the role As a Solution Engineer, you will turn customer pain points into practical AI solutions using AIHub and Superapp. You will work directly with business and technical stakeholders to understand their workflows, identify high-value use cases, and deliver solutions that achieve measurable business outcomes. This customer-facing, hands-on role spans discovery, tailored demonstrations, pre-sales technical proofs of concept (POCs), implementation, and adoption. You will partner with Sales to win technical evaluations and collaborate with Solutions Architecture, Professional Services, Customer Success, and Product Engineering to help customers succeed. This is not a traditional product software engineering position. It combines technical consulting and communication with hands-on Python development, prompt engineering, and customer-site collaboration. What you’ll do: Discover customer needs: Lead workshops to understand pain points, existing workflows, technical constraints, and desired outcomes. Translate these findings into scoped use cases and solutions using AIHub, Superapp, or both. Deliver compelling demos: Build and present tailored demonstrations that connect product capabilities to customer priorities. Explain solution architecture, value, and trade-offs clearly to technical and non-technical audiences. Win technical POCs: Partner with Sales to define POC scope, timelines, evaluation plans, and measurable success criteria. Own technical execution, address objections, and present evidence-based results that support the customer’s buying decision. Build custom AI solutions: Use Python, prompt engineering, APIs, and databases to develop prototypes, integrations, and customer-specific workflows. Test and refine solutions for accuracy, reliability, and maintainability. Support implementation and adoption: Help transition successful POCs into production implementations. Troubleshoot issues, document solutions, train customer teams, and coordinate clear handoffs and ownership. Work alongside customers on-site: Travel to customer locations as required for discovery, demos, POCs, implementation, troubleshooting, and enablement. Collaborate with customer teams to achieve agreed goals. Learn and improve continuously: Quickly learn new technologies and product capabilities, apply them to customer problems, and turn reusable solutions and customer feedback into better delivery practices and product improvements. About you: Industry experience of 2+ years in customer-facing technical work, such as solution engineering, technical consulting, implementation, or pre-sales, including hands-on technical evaluations or POCs. Bachelor’s or Master’s degree in Computer Science Engineering or similar fields. Demonstrated ability to uncover customer pain points , translate business needs into technical requirements, and propose solutions with measurable outcomes. Strong communication , presentation, and stakeholder-management skills, including the ability to deliver engaging demos and explain complex concepts simply. Hands-on proficiency in Python: writing, debugging, testing, and maintaining scripts, integrations, and customer-specific solutions. Practical prompt engineering skills, including designing instructions and examples, evaluating outputs against representative test cases, and iterating to improve quality and consistency. Working knowledge of APIs, JSON, databases, and system integration ; a structured approach to troubleshooting and technical problem-solving. Curiosity, ownership, and the ability to learn unfamiliar technologies quickly while managing customer expectations and delivery commitments. Willingness and ability to travel to customer sites as required. Nice to have: Experience with AIHub, Superapp, or comparable enterprise AI platforms. Experience with LLM-powered applications, document processing, or workflow automation. Familiarity with cloud environments, enterprise security requirements, and taking prototypes into production. What success looks like: You uncover the right customer problems, deliver clear and relevant demonstrations, meet agreed POC success criteria, and help customers adopt solutions that deliver measurable value. Your work builds customer trust, supports technical wins, and creates reusable knowledge for future engagements. Benefits: Flexible PTO: Because life is better when you actually live it! Comprehensive Coverage: Top-notch medical, dental, and vision insurance. Parental Leave & Fertility Benefits: Supporting you in growing your family, your way. Therapy Sessions Covered: Mental health matters—10 free sessions through Samata Health. Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving. Lunch on Us: Enjoy a lunch credit when you’re in the office. #Li-Hybrid SuperApp is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.