Role Description RocketRez is looking for a Senior Solutions Engineer to partner with Sales and customers to design, validate, and communicate tailored solutions. This role plays a critical part in the sales process by aligning customer needs with platform capabilities and ensuring a strong foundation for successful delivery. - Partner with Account Executives to support the sales cycle through technical discovery, solution design, and validation - Lead customer discovery to understand business requirements, workflows, and technical environments - Deliver product demonstrations and technical presentations tailored to both technical and non-technical audiences - Design and validate solutions that align with customer needs and RocketRez platform capabilities - Support RFPs and RFIs with technical input, solution design, and feasibility assessment - Lead and support proof-of-concepts (POCs) and technical evaluations - Design integrations between RocketRez and third-party systems (e.g., payments, CRM, ERP, etc.) - Conduct technical assessments, including API-level analysis where needed - Facilitate technical discussions and workshops with customer stakeholders - Act as a trusted technical advisor to prospects throughout the evaluation process - Partner with Implementation and Customer Success teams to ensure a smooth transition post-sale - Contribute to internal knowledge sharing, demo assets, and best practices Qualifications - 5+ years of experience in a Solutions Engineer, Sales Engineer, or similar technical pre-sale’s role - Strong ability to translate business requirements into technical solutions - Experience with APIs, integrations, and system architecture concepts - Excellent communication and presentation skills - Ability to work cross-functionally with Sales, Product, and Implementation teams - Experience in SaaS or complex software environments Requirements - Experience in attractions, ticketing, or hospitality environments - Background in implementation, consulting, or technically oriented customer-facing roles - Familiarity with structured sales methodologies (e.g., MEDDIC, Challenger, Sandler) Benefits - Make an immediate impact in a high-growth company shaping the future of tour and attraction software - Work in a hybrid environment with flexibility and trust - Join a collaborative, thoughtful, and driven team focused on doing right by the customer and each other - Competitive salaries, generous paid time off, retirement benefits, health insurance, and supportive parental leave - Be yourself! We hire from and for a wide range of backgrounds and experiences, because diversity strengthens everything we do - Grow with us as we continuously improve and build a product and culture we’re proud of

• Serve as the technical subject matter expert throughout the sales process • Owning and managing various pre-sales activities – including technical presentations, demonstrations, and proof of concept projects • Collaborate with the Sales team, jointly owning the sales cycle and account plan • Help to drive deeper & wider into the account – identifying requirements for additional resources from other departments within the customer, customer alternatives (i.e., other means of handling their current requirements), and potential internal sponsors • Understand and document customer business & technical requirements and use them to create value-based proposals, addressing business drivers & pain points – guiding the technical sales cycle towards a technical close & a business win • Build strong relationships with key contacts in the partner ecosystem • Work with Channel Sales team to build and strengthen relationships with partners; Oversee product and solutions training and enablement of the partner ecosystem so that they can be leveraged to help drive opportunities to technical close

• Diseñar, implementar y mantener soluciones de RAG y asistentes conversacionales usando Azure OpenAI, Azure AI Search y stores de embeddings en producción. • Diseño e implementación de prompts para modelos de lenguaje (LLMs), incluyendo técnicas de prompt chaining, evaluación y mejora iterativa. • Colaboración interdisciplinaria con ingenieros y stakeholders para garantizar outputs de IA interpretables y alineados al negocio. • Integración de IA en arquitecturas de software, aplicando principios de diseño y buenas prácticas de ingeniería.

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