
11 - 50 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
Tucuvi is a healthcare technology company that specializes in AI-powered solutions to improve patient care. Their flagship product, LOLA®, is a clinically validated voice AI agent designed to enhance the operational efficiency of healthcare teams while ensuring quality monitoring for patients. Tucuvi collaborates with top-tier healthcare organizations to deploy its AI Clinical Voice platform for various applications, including outpatient symptom monitoring and follow-up care, thereby improving patient engagement and the quality of care delivered.
🔥 0 minutes ago
Where this job comes from
Posted on Tucuvi's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

11 - 50 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
Tucuvi is a healthcare technology company that specializes in AI-powered solutions to improve patient care. Their flagship product, LOLA®, is a clinically validated voice AI agent designed to enhance the operational efficiency of healthcare teams while ensuring quality monitoring for patients. Tucuvi collaborates with top-tier healthcare organizations to deploy its AI Clinical Voice platform for various applications, including outpatient symptom monitoring and follow-up care, thereby improving patient engagement and the quality of care delivered.
• Lead and develop conversation designers and forward-deployed conversational AI engineers • Conduct regular 1:1s, set expectations, complete performance reviews and support career development • Coach designers on design judgment and engineers on conversational AI implementation skills • Provide timely feedback, address underperformance and build a culture of questions and constructive challenge • Improve onboarding and coaching practices • Own conversation design quality across wording, tone, cognitive load and recovery from misunderstandings • Establish shared principles, examples and review practices for LOLA’s voice • Evaluate conversations from the patient’s perspective • Design for varied communication needs, health literacy levels and technology familiarity • Ensure implemented experiences preserve design intent and work reliably in patient and clinical workflows • Measure protocol quality and proactively improve protocols • Guide discovery, design, implementation, integration, testing, review and release • Coordinate clinical and technical approvals required for safe release • Manage capacity across workstreams and balance new protocols, improvements and quality work • Clarify priorities, dependencies and trade-offs and resolve blockers with stakeholders • Build repeatable design and engineering ways of working • Establish collaboration with other teams to create client demos • Work with technical leads, the Conversation AI tech lead, product and clinical colleagues • Translate patient needs and clinical requirements into understandable, technically sound and reliable conversations
• Significant experience in conversational AI, conversational design, voice UX or a closely related discipline • Examples of experiences designed, implemented, evaluated or improved • Strong design judgment and exceptional attention to language, interaction patterns and different user needs • Practical engineering experience with AI-powered products • Ability to understand and discuss code, APIs, integrations, testing and debugging • Experience managing and developing people across design and engineering disciplines • Experience with feedback, performance conversations and career growth • Track record of coordinating cross-functional delivery and managing competing priorities • Practical familiarity with prompting, conversational AI systems and AI-assisted quality review • Ability to recognize when human review is essential • Ability to explain design and technical decisions clearly and turn expertise into reusable team practices • Enough hands-on engineering experience to credibly guide and coach forward-deployed conversational AI engineers • Healthcare or another environment where clarity, trust and careful review are essential would be a plus • Experience designing voice experiences for varied accessibility and health-literacy needs would be a plus • Experience building conversation guidelines, review frameworks or onboarding programmes would be a plus • Experience using conversation research, feedback or performance data to improve live experiences would be a plus
• Remote working from Spain, with flexibility in how you organise your day • Flexible remuneration options through Cobee, including meals, transport and childcare • 23 days of annual leave • Birthday off • Flexibility over when you take six local and regional public holidays • 500€ annual budget for learning • Company laptop and the equipment needed for your work • Regular opportunities to meet colleagues in person • Opportunity to shape a growing design team and see your work make a difference to patients and healthcare professionals
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