Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Tucuvi

Conversation AI Manager

Tucuvi

. Lead and develop conversation designers and forward-deployed conversational AI engineers .

Posted 10/30/2026full-timeRemote • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in conversational AI and design, with a strong focus on user needs, language precision, and interaction patterns. Capable of leading teams, managing performance, and ensuring high-quality conversational experiences in healthcare or similar environments.

Highest-signal resume keywords
Conversational AI ExperienceDesign JudgmentPerformance ManagementCross-Functional CoordinationHealthcare Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Conversational DesignVoice UXAI-Powered ProductsAPIsTestingDebuggingConversational AI SystemsQuality ReviewAccessibility DesignConversation Guidelines
Soft Skills
CoachingFeedbackCommunicationCollaborationProblem-Solving
Industry Keywords
HealthcareUser NeedsPerformance DataOnboarding ProgramsInteraction Patterns

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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