VP, Product Management, Agentforce Voice

Global Speech, Language & Industry Model Platform

We are looking for an experienced and deeply technical Vice President of Product Management to lead the global Speech, Language, and Industry Model Platform that powers Agentforce Voice. This leader must possess a deep passion for Salesforce and the transformative power of Generative AI, with the vision and operating discipline to mobilize product and engineering teams, accelerate innovation, and drive market leadership and customer success in enterprise voice AI.

As the VP responsible for Agentforce Voice language support, you will own the complete speech and language stack, including Speech-to-Speech (S2S), Speech-to-Text and Automatic Speech Recognition (STT/ASR), Text-to-Speech (TTS), multilingual and monolingual experiences, accent and dialect adaptation, language expansion, speech quality, and industry-specific speech, diarization, background-noise handling, model-tuning, language models, and other related capabilities.

You will define how Salesforce delivers accurate, natural, low-latency voice experiences across languages, regions, industries, deployment models, and customer environments. Your charter will include hosted and self-hosted solutions, APIs, model orchestration, hybrid model management, performance tuning, model evaluation, domain adaptation, and the developer and administrative experiences required to operate the platform at enterprise scale.

As Salesforce expands globally, you will build and lead a world-class product organization with dedicated regional and industry-focused team members where languages, regulations, terminology, cultural expectations, or acoustic environments require additional investment. This may include Japan, EMEA, Southeast Asia, India, Latin America, and other strategic markets and industries.

You will work closely with colleagues in engineering, design, user experience, program management, data science, security, legal, compliance, product marketing, sales, services, regional teams, and Salesforce industry organizations to align on a unified vision. You will grow a high-performing team of product managers through an iterative, high-velocity approach to delivery.

Responsibilities

• Team Leadership: Build, lead, and mentor a high-performing team of product managers, fostering a collaborative operating model, clear ownership boundaries, and a shared roadmap of priorities.

• Speech, Language, and Industry Model Strategy: Own the global strategy and roadmap for the Speech & Language Platform that powers Agentforce Voice, including S2S, STT/ASR, TTS, multilingual and monolingual support, accent and dialect adaptation, industry-specific models, speech quality, model selection, and API capabilities.

• Global Language Expansion: Define Salesforce's worldwide language strategy, prioritize new languages, dialects, accents, and regional variants, and establish the quality bar and investment model required for global enterprise readiness.

• Industry-Specific Models: Define and deliver domain-adapted speech and language models for strategic industries such as healthcare, financial services, public sector, communications, retail, automotive, and other terminology-intensive or regulated verticals.

• Regional Product Leadership: Build regional product capability in geographies requiring deep linguistic, cultural, regulatory, or market-specific expertise, including Japan, EMEA, Southeast Asia, India, Latin America, and other priority markets.

• Platform and Deployment Ownership: Own the product strategy for managed, self-hosted, private, and hybrid deployment models, including APIs, inference infrastructure, model packaging, lifecycle management, observability, and enterprise administration.

• AI Model Management: Drive the selection, benchmarking, tuning, adaptation, orchestration, and lifecycle management of proprietary, open, and third-party speech models across languages, accents, industries, and deployment environments.

• Performance and Quality: Partner with engineering and data science to continuously improve recognition accuracy, synthesis quality, latency, streaming performance, barge-in responsiveness, reliability, scalability, cost efficiency, and conversational naturalness.

• Evaluation and Governance: Establish common evaluation frameworks, scorecards, test datasets, release criteria, and governance for language quality, accent performance, industry terminology, safety, compliance, fairness, and regional readiness.

• Customer and Partner Engagement: Actively engage with customers, technology providers, implementation partners, and regional stakeholders to validate priorities, deliver roadmap updates, solicit feedback, and identify new market opportunities.

• Product Lifecycle Management: Create and maintain comprehensive product requirements, documentation, operating metrics, and launch plans spanning ideation, development, release, adoption, optimization, and long-term maintenance.

• Cross-Functional Alignment: Partner with sales, services, product marketing, regional leadership, and industry teams to define positioning, packaging, enablement, and go-to-market plans for Agentforce Voice capabilities.

• Brand Ambassadorship: Represent Salesforce as a domain expert in enterprise voice AI, speech technology, multilingual systems, and industry-adapted models at customer briefings, industry events, and community forums.

Requirements

• Product Leadership: 10+ years of professional experience in software product management within a high-growth enterprise technology environment, including experience leading senior product teams.

• Proven Track Record: A history of driving customer success, building technically complex platforms, delivering successful product launches, and developing enthusiastic reference customers.

• Speech AI Expertise: Deep understanding of S2S, STT/ASR, TTS, multilingual AI, monolingual optimization, accent and dialect modeling, speech synthesis, streaming inference, low-latency systems, and conversational AI architectures.

• Model and Platform Expertise: Experience with model evaluation, fine-tuning or adaptation, hybrid model architectures, model routing, managed and self-hosted deployments, APIs, performance optimization, observability, and model lifecycle management.

• Domain Adaptation: Experience adapting AI or speech systems for specialized terminology, workflows, acoustic conditions, compliance requirements, and customer-specific vocabularies. Experience in regulated or terminology-intensive industries is strongly preferred.

• Global Product Experience: Demonstrated ability to build products across multiple languages and geographies, working effectively with regional teams and balancing global platform consistency with local market requirements.

• Methodology: Working knowledge of Scrum, Lean, and Agile software development methodologies within the enterprise application software lifecycle.

• Communication: Exceptional written and oral communication skills, with extensive experience presenting to executive leadership, engaging strategic customers, and navigating complex enterprise sales cycles.

• Leadership Style: Experience operating in matrixed organizations with a collaborative, humble leadership style that empowers diverse teams with complementary technical, linguistic, regional, and industry expertise.

• Strategic Vision: A firm grasp of the transformative impact of agentic technology and real-time voice interaction on customer service, employee productivity, and enterprise software.