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Director of Voice AI
Job in
Cambridge, Middlesex County, Massachusetts, 02140, USA
Listed on 2026-06-06
Listing for:
Motorola Solutions
Full Time
position Listed on 2026-06-06
Job specializations:
-
Engineering
AI Engineer
Job Description & How to Apply Below
Job Description
Reporting to the VP of AI for Motorola Solutions, the Director of Voice AI will be a critical executive leader who transforms highly ambiguous concepts into enterprise‑scale Voice AI solutions. They will lead a unified, world‑class research and engineering organization responsible for the end‑to‑end lifecycle of Voice AI technologies—spanning from ML research to large‑scale production deployment. This role defines the technical vision, bridges cutting‑edge AI research and robust product engineering, and ensures the execution and delivery of next‑generation voice intelligence solutions across Motorola’s product portfolio.
Key Responsibilities- Define the long‑term research agenda for fundamental Voice AI and speech capabilities and drive a culture of scientific excellence.
- Provide executive technical leadership to a unified research and engineering organization, defining the technical architecture, strategy, and engineering roadmap for the Voice AI platform. Drive execution, ensuring seamless translation of product requirements into robust technical specifications and successful delivery of scalable voice intelligence solutions aligned with overall business strategy.
- Manage and scale a unified Voice AI research and engineering organization across multiple geographies, overseeing multiple teams while recruiting, mentoring, and attracting world‑class talent.
- Own the entire engineering lifecycle for central, reusable Voice AI models and foundational AI infrastructure, establishing best‑in‑class MLOps practices for scalable training, efficient deployment, continuous monitoring, and performance optimization across edge and cloud environments.
- Define, implement, and track key technical performance metrics (latency, throughput, model efficiency, system reliability) to measure engineering success, identify bottlenecks, and drive continuous improvement.
- Evaluate and integrate cutting‑edge Voice AI research and technologies. Proactively identify and mitigate significant technical risks, leading critical engineering decisions, including build‑versus‑buy analysis.
- 10+ years of technical leadership experience leading Voice AI and Speech Technology teams, building and deploying enterprise‑scale platforms and solutions in production.
- Deep, demonstrable expertise in Voice AI (ASR, NLU, LLMs), machine learning algorithms, and the end‑to‑end MLOps lifecycle, with 5+ years hands‑on experience building and optimizing Voice AI models (ASR/NLU/TTS) or as a Voice AI researcher.
- Proven experience defining long‑term technical vision, engineering strategy, and roadmaps for large‑scale platforms. Expertise in implementing technical metrics to drive continuous improvement.
- Demonstrated ability to manage and scale a distributed engineering and research organization of 30–50 people, mentor senior technical talent, and lead multiple teams across geographies.
- Hands‑on experience driving innovation through foundational research, AI performance metrics, real‑time audio/speech processing, and inference optimization.
- Track record of translating ambiguous product concepts and complex customer needs into clear, executable technical roadmaps and architectural specifications.
- Experience in a start‑up or fast‑paced environment is highly valued, demonstrating high ownership, bias for action, comfort with ambiguity, and the ability to drive 0‑to‑1 product development with limited resources.
- Preferred experience in public safety, security‑focused software (speech analytics, real‑time dispatch management), mission‑critical systems, or emergency communications; building enterprise‑scale voice assistants and/or AI agents; deep understanding of hybrid cloud/edge architecture and deployment trade‑offs.
Target Base Salary Range: $220,000 USD – $270,000 USD
Basic Requirements- Bachelor’s degree with 10+ years of technical leadership experience in Voice AI and Speech Technology.
- 5+ years of hands‑on experience building and optimizing Voice AI models (ASR/NLU/TTS) or as a Voice AI researcher.
Under 10%
RelocationNone
Position TypeExperienced
Referral Payment PlanNo
Benefits- Incentive Bonus Plans
- Medical,…
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