About the job
You’ll help shape and scale high-quality voice experiences across a global portfolio of AI agents. Working closely with cross-functional teams and customer stakeholders, you’ll combine systems thinking, design judgment, and operational rigor to improve voice quality, accelerate multilingual readiness, and create more human experiences.
Responsibilities
Improve breadth and depth of voice quality: Evaluate, compare, and iterate on voices across multiple providers, languages, and use cases, ensuring experiences meet a high bar for clarity, naturalness, and appropriateness while continuously improving product and systems.
Support faster multilingual readiness and launches: Partner with product, engineering, and deployment teams to research solutions, evaluate options, identify risks, and guide voice-related decisions that enable timely, high-confidence launches across regions.
Design and apply effective and repeatable evaluations: Create and maintain structured methods for assessing voice performance and interaction quality, helping teams make informed tradeoffs and catch issues early.
Partner cross-functionally to resolve voice and interaction issues: Collaborate with engineering, product, and support teams to investigate quality gaps, diagnose root causes, and drive improvements through clear recommendations and follow-through.
Participate in customer-facing voice design work: Contribute to voice selection and design discussions with customers, helping them understand options, tradeoffs, and best practices while ensuring outcomes align with their goals.
Enable teams to scale voice design effectively: Design and develop guidance, examples, lightweight frameworks, and product enhancements, that empower product managers and engineers to make strong voice and interaction decisions independently.
Co-create agent personas and interaction patterns: Work with internal teams and customers to shape agent personalities, behaviors, and interactions, supporting distinct and intentional agent experiences as a trusted advisor.
Capture and share learnings: Document insights, patterns, and regional considerations to improve consistency, reduce repeated effort, and raise the overall quality bar across teams and deployments.
Qualifications
Minimum
5+ years in a role that blends product craft with applied systems thinking (e.g., voice/AI experience design, conversation design, applied linguistics, UX for AI, product engineering with strong user experience focus, localization program leadership with quality ownership).
Strong ability to operate across many languages and priorities—you bring structure to ambiguity and can ship reliably while quality stays high.
Experience creating repeatable evaluation frameworks (rubrics, test suites, scorecards, QA gates) and using them to drive decisions.
Excellent communication: you can turn messy signals into clear guidance for engineering, product, and customer stakeholders.
Comfort living close to the work: deep knowledge of the product, understanding our customers and our customers’ customers, always listening, digging into edge cases, constantly improving the system as well as the product.
Preferred
Experience with speech synthesis and conversational agents.
Expertise with global language families.
Familiarity with provider and voice evaluation.
Linguistics, sound editing, and/or musical background.
Experience enabling other teams via playbooks, training, and internal tooling.