About the job
At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. Our co-founders are Bret Taylor and Clay Bavor.
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.