Director of Product Management, Agentforce Voice Models

What you'll do

• Own the multi-year voice roadmap and set accuracy, latency, and quality benchmarks, including build-versus-buy-versus-partner decisions.
• Lead development of speech recognition, neural text-to-speech, and low-latency speech-to-speech pipelines, including diarization, authentication, and language coverage.
• Recruit and lead a team of research engineers, applied scientists, and ML engineers, partnering on voice AI ethics, compliance, and external representation.

What they ask for

• 10+ years in speech/audio machine learning and 4+ years in senior leadership managing teams of 10 or more engineers or scientists.
• Deep hands-on expertise in at least two of ASR, neural TTS, or real-time speech processing pipelines.
• Track record of shipping production voice models at scale, with measurable accuracy and latency improvements.
• Proficiency in Python; experience with PyTorch or JAX model training at scale; familiarity with cloud-based training infrastructure.

Nice to have

• PhD in a related field with a speech/audio focus, or equivalent industry experience.
• Familiarity with streaming inference, model quantization, on-device deployment, telephony/contact-center platforms, or relevant publications and patents.

Pay

USD $197,300 - $313,700 annually (base salary); USD $237,700 - $344,700 annually (base salary)

Tools

ASR / STT, TTS, S2S, Python, PyTorch, JAX, AWS, GCP

AI focus

Builds and leads enterprise voice AI models and real-time voice agents, including speech recognition and generation, diarization, voice biometrics, and multilingual localization.