Director of Product Management (Agentforce Voice Models)

Join Salesforce, a leading global technology company, as the Director of Product Management for Agentforce Voice Models. In this role, you will own the full voice intelligence stack, including Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speech-to-Speech (S2S), and more. You will set the strategy and roadmap for voice capabilities, drive accuracy and quality benchmarks, and lead the development of production-grade ASR systems. Additionally, you will manage the neural TTS pipeline, architect low-latency S2S pipelines, and deliver production speaker diarization. You will also own the global language support roadmap, recruit and develop a world-class team, and partner with cross-functional teams.

• Définir et posséder la feuille de route pluriannuelle pour les capacités vocales d'Agentforce, en couvrant l'ASR/STT, le TTS, le S2S et les agents vocaux en temps réel.
• Diriger le développement de systèmes ASR de production optimisés pour la téléphonie, le WebRTC et le déploiement côté appareil, en améliorant le taux d'erreur de mots (WER) dans diverses conditions.
• Recruter, développer et retenir une équipe de classe mondiale d'ingénieurs de recherche, de scientifiques appliqués et d'ingénieurs en ML, en fixant la direction technique et en maintenant l'excellence en ingénierie.

• 10+ years in speech/audio machine learning, with 4+ years in a senior leadership role managing teams of 10 or more engineers or scientists
• Proven track record of shipping production voice models at scale (millions of minutes per day) with measurable accuracy and latency improvements
• Fluency in prosody modeling: pitch contour modeling, duration prediction, and expressiveness fine-tuning
• Experience with speaker diarization systems (clustering-based, end-to-end, or hybrid)
• Excellent written and verbal communication—able to translate complex model behavior into product and business narratives for executives
• Strong understanding of multilingual and multi-dialect NLP/ASR challenges; experience with at least 5 languages in production
• Proficiency in Python; experience with PyTorch or JAX model training at scale; familiarity with cloud-based training infrastructure (AWS, GCP, or Azure)
• Deep hands-on expertise in at least two of: ASR (end-to-end or hybrid CTC/attention architectures), neural TTS (VITS, Voicebox, Matcha-TTS, or equivalent), or real-time speech processing pipelines
• PhD in Computer Science, Electrical Engineering, Linguistics, or related field with a speech/audio focus, or equivalent industry experience
• Experience with voice safety, watermarking, and deepfake/spoofing detection
• Familiarity with streaming inference, model quantization (INT8/INT4), and on-device deployment for low-latency voice
• Background in telephony protocols (SIP, RTP, WebRTC) and enterprise contact-center platforms (Genesys, NICE, Avaya, Amazon Connect)
• Published research or patents in speech processing, audio ML, or a closely related field
• Experience operating within regulated industries (financial services, healthcare) with voice data compliance requirements