Director of Product Management, Agentforce Voice Models

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About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

Agentforce is Salesforce's next-generation AI platform, delivering autonomous agents that reason, take action, and communicate naturally across every customer touchpoint. Voice is the fastest-growing interaction surface-from contact-center automation and field-service assistants to real-time sales coaching and multilingual global deployments.

As Director of Agentforce Voice Models, you will own the full voice intelligence stack: Automatic Speech Recognition (ASR / STT), Text-to-Speech (TTS), Speech-to-Speech (S2S) end-to-end pipelines, speaker diarization, prosody modeling, and the language-coverage roadmap that makes Agentforce sound natural in every market we serve. You will partner with product, infrastructure, and go-to-market teams to set the bar for transcription accuracy, latency, and voice expressiveness at enterprise scale.

At Salesforce, we believe AI agents will redefine how businesses and people work. Agentforce is at the center of that shift-and Voice is its most human interface. You will work at the intersection of frontier research and enterprise-grade reliability, with direct customer impact across 150,000+ organizations worldwide, with access to proprietary, enterprise-grade voice data, world-class compute, and a platform with distribution that no startup can match.

What You'll Actually Be Doing

• Define and own the multi-year roadmap for Agentforce voice capabilities, spanning ASR/STT, TTS, S2S, and real-time voice agents, including build vs. buy vs. partner decisions and setting accuracy, latency, and quality benchmarks (WER, MOS, RTF, DMOS).
• Lead ASR/STT, neural TTS, and low-latency Speech-to-Speech (S2S) pipeline development-covering streaming recognition, prosody and persona design, and full-duplex conversational AI integrated with agent action loops.
• Own speaker diarization, voice-biometric authentication, and the global language coverage and localization roadmap, including data governance and dialect/accent validation.
• Recruit and lead a world-class team of research engineers, applied scientists, and ML engineers (target team size: 20-30), partnering cross-functionally with Product, Legal, Privacy, and Trust & Safety on voice AI ethics and compliance (HIPAA, PCI, GDPR), and representing Agentforce Voice externally at conferences and standards bodies (W3C, IETF).

You're Our Person If...

• 10+ years in speech/audio machine learning, with 4+ years in a senior leadership role managing teams of 10 or more engineers or scientists.
• 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.
• Proven track record of shipping production voice models at scale (millions of minutes per day) with measurable accuracy and latency improvements.
• Proficiency in Python; experience with PyTorch or JAX model training at scale; familiarity with cloud-based training infrastructure (AWS, GCP, or Azure).

Even Better If...

• PhD in Computer Science, Electrical Engineering, Linguistics, or related field with a speech/audio focus, or equivalent industry experience.
• 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.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.