Solution Architect

Join us and build the future of live entertainment.

As our first dedicated Solution Architect on the US team, the mission is to bridge the gap between our powerful API-first platform and complex enterprise ticketing needs. This role is confidently mapping the requirements to our API architecture and starting to establish templates, frameworks, and best practices that will allow vivenu to scale.

As a Solution Architect at vivenu your responsibilities will include:

• Architecting tailored solutions for custom integration gaps, such as API connections, Single Sign-On (SSO) setups, and ERP, leveraging vivenu’s powerful capabilities.
• Partnering closely with enterprise clients to seamlessly transition their existing digital storefronts into a cutting-edge, headless commerce architecture powered entirely by vivenu's robust APIs.
• Running deep-dive technical workshops with a diverse mix of client stakeholders—ranging from customer CTOs and IT departments to third-party web agencies and Ticketing Managers—to extract requirements and translate complex needs into scalable blueprints.
• Aligning customer expectations perfectly with vivenu's platform capabilities, and acting as the internal escalation point for complex technical questions in post-sales to ensure all scoped solutions are highly viable, scalable, and independently executed.
• Leveraging rapid scripting, AI tools, and proof-of-concepts to quickly verify data flows, turning these bespoke solutions into high-impact white papers and global integration templates that establish vivenu as a technical leader.
• Adapting quickly and jumping into any industry vertical or technical challenge whenever and wherever needed, driving innovative platform solutions from conception to execution.

What you will need to succeed in this role:

• 5+ years of experience in a similar role, ideally a background in software engineering or a highly technical role, with a deliberate career pivot toward client-facing strategy, business impact, and solution design.
• A university degree in Computer Science or a related quantitative, technical field.
• A broad, comprehensive understanding of web applications, REST APIs, webhooks, data mapping, and how modern software ecosystems interact
• The ability to read API documentation, write functional scripts to test endpoints, and deeply analyze and debug AI-generated code.
• Exceptional communication skills to navigate high-stakes client environments, manage multiple priorities, and confidently manage client expectations.