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Salary: USD 161,300 - 274,200 / annual
ServiceNow is seeking a Staff Voice AI Engineer with deep expertise in linguistics and speech to contribute to the design, development, and implementation of Voice AI applications. You will own language support end-to-end, adding new languages and locales while maintaining language-specific instructions, normalization, and pronunciation rules. Your responsibilities include analyzing complex speech problems across diverse languages, accents, and dialects; diagnosing language and speech failures in production calls and driving fixes with the team; partnering with engineers to identify and solve linguistic problems while contributing code; and collaborating with product managers to understand customer use cases and linguistic challenges.
You will design linguistic experiments that drive technology choices for Voice AI applications (e.g., STT/TTS models and vendors), build tooling with AI assistance to analyze linguistic problems at scale, and mentor colleagues to promote knowledge-sharing across linguistics and Voice AI engineering disciplines. This role requires balancing deep technical expertise with cross-functional collaboration across engineering, product, and customer-facing teams.
REQUIREMENTS:
- Master's or PhD in Linguistics, Cognitive Science, or related field
- Specialization in phonetics, acoustics, psycholinguistics, or cognitive science (applied or interdisciplinary rather than theoretical)
- 4+ years of experience in large-scale experiment design and quantitative research projects in industry or applied research settings
- Hands-on experience building Voice AI applications
- Development experience with Python or similar languages
- Deep knowledge of the structure of several languages; fluency in a language other than English is a plus
- Ability to explain linguistic findings clearly to engineers, product managers, and customers
- Experience evaluating speech recognition and speech synthesis systems (asset)
- Experience building applications on top of LLMs, including prompt engineering (asset)
- Self-starter, outcome-driven mindset with ability to work across many stakeholders
- Ability to think critically about integrating AI into work, including hands-on experience with AI tools such as Claude Code, Cursor, or Windsurf
