Role Description We're hiring an AI Agent Designer to build, prompt-engineer, and continuously improve the AI agents that power OpenCX. You'll work directly with customers and our product team to translate real customer use cases into agent behavior that just works. - Design conversation flows, write and iterate on prompts, and measure agent performance against real customer outcomes. - Develop deep expertise in the platform and the underlying LLMs used. - Partner with the Product Engineering team to push the boundaries of agent capabilities. - Write, test, and iterate on prompts daily, tuning agents based on real-world customer feedback. - Own the scope of agents and drive prompt iteration based on experience and ability to ship. - This is a hands-on AI/prompt engineering role with heavy customer exposure. Qualifications - Hands-on experience with prompt engineering and AI agents. - Strong technical foundation — ability to read code, work with APIs, and run evaluations. - Solid understanding of modern LLMs, their behaviors, and how to design reliable prompts and tools. - Customer-facing experience or willingness to engage directly with customers. - Excellent English communication skills — clear writing and confident speaking. - Ability to operate effectively in a fast-moving startup environment. - Comfortable working remotely with customers across multiple global time zones. Requirements - Design and build new AI agents end-to-end: define behavior, write prompts, set up tool/function calls, and ship to customers. - Iterate on prompts based on real customer conversations and edge cases. - Run experiments across models, prompt structures, and agent architectures. - Collaborate closely with the Product Engineering team to feed real customer needs back into platform improvements. - Document agent design patterns, prompt templates, and evaluation playbooks. Benefits - Top of the market compensation. - Health insurance. - Working at a high-growth, YC-backed startup.

• Develop a deep understanding of our clinical team members user journeys, the jobs to be done, and the pain points that we can improve • Continue to evolve and define our UX principles, frameworks and best practices • Collaborate across the entire organization to ensure you are getting the best feedback from the right people • Be a builder at heart with technical depth. You can understand how a feature is built in the codebase with the help of AI. You prototype quickly and effectively to get to feedback earlier. • AI-native. You've meaningfully changed how you work through AI. Not just using it to go faster, but rethinking what's possible. This shapes how you build, how you prototype, and how you think about your own productivity. • Create a culture of innovation, push back on preconceived notions, and approach problems with consistent patterns • Self-driven. You don't wait to be told what to do next. You find the problem, form a view, and move. But you also know when to check in before going deep. You have a strong nose for when to push forward and when to surface something. • Foster a culture of collaboration, continuous learning, discussion, and healthy debate. • Be willing to go above and beyond. Our team is at the nexus of bringing together ideas and making them a reality, and that involves a relentless focus on quality and a personality that thrives on creating community, delivering value, and improving oneself. • Stay up-to-date with industry trends and emerging technologies to identify opportunities for ongoing innovation & improvement.

• Design end-to-end payment experiences across web interfaces and conversational AI agents, ensuring consistency and clarity across interaction modes • Translate complex payment workflows (e.g., ACH, debit, failed payments) into intuitive user experiences that handle edge cases and error states effectively • Define and evolve interaction patterns for conversational interfaces, including dialogue flows, fallback behaviors, and multi-step task completion • Partner closely with product managers and engineers to shape product direction, scope solutions, and deliver high-impact user outcomes • Use data and experimentation (e.g., A/B testing, user behavior insights) to iterate on designs and improve key metrics such as payment success and engagement • Contribute to and extend design systems by establishing reusable patterns for AI-native and conversational experiences

• Design end-to-end user experiences across borrower-facing flows • Translate product requirements into wireframes, interactive prototypes, and high-fidelity visual designs • Collaborate with product managers and engineers to align on scope, constraints, and implementation details • Deliver production-ready designs and ensure design intent is preserved through development handoff • Incorporate user feedback, data insights, and stakeholder input to iterate on designs • Partner with adjacent teams (e.g., Growth) to ensure seamless experiences across the borrower journey