Director of Voice AI

Motorola Solutions

Remote Actively hiring Posted this week Verified listing
Remote (Massachusetts, Us Offsite, US) Posted 2 days ago $220,000$270,000 / year

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k
This role $245k
$167k most similar roles pay here $281k

This role pays more than 71% of similar roles. Most pay $183,625–$246,150 — the shaded band above. At the midpoint, this role pays about $245k versus about $215k for comparable roles.

Based on 239 similar postings.

Employer

About Motorola Solutions

Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.

Motorola Solutions currently has 103 open roles on FindRole.

Listed pay typically runs $110,250–$145,000 across 90 roles with salary data.

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View all roles at Motorola Solutions

At a glance

TL;DR

The Director of Voice AI will lead a world-class research and engineering team at Motorola Solutions, defining the technical vision for enterprise-scale voice intelligence solutions. This executive role involves driving foundational research in Voice AI, setting the technical architecture and roadmap, and ensuring robust delivery across Motorola’s product portfolio. The director will manage a distributed organization of 30 to 50 people, overseeing recruitment and mentoring strategies while owning the MLOps lifecycle from training to deployment. Key skills include deep expertise in ASR, NLU, TTS systems, and experience with hybrid cloud/edge architecture. Ideal candidates have a track record of translating ambiguous product concepts into technical roadmaps and driving innovation in public safety or security-focused software environments.

What you'll do

  • Define long-term research agenda for Voice AI technologies.
  • Provide executive technical leadership, defining architecture and roadmap for Voice AI Platform.
  • Manage and scale a distributed Voice AI research and engineering organization.
  • Own the entire MLOps lifecycle for central, reusable Voice AI models.
  • Implement and track key performance metrics to measure engineering success.

What we're looking for

  • 10+ years of technical leadership in Voice AI and Speech Technology teams.
  • Deep expertise in Voice AI, machine learning algorithms, and MLOps lifecycle.
  • Proven experience defining long-term technical vision and engineering strategy.
  • Demonstrated ability to manage and scale a distributed research and engineering organization.
  • Strong analytical skills with hands-on experience in foundational research and metrics.
  • Track record of translating ambiguous product concepts into executable technical roadmaps.
  • Experience in public safety or mission-critical systems is preferred.

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