Product Management Director, Common Services AI

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About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Salesforce is doubling down on AI. Our AI-first strategy is central to our mission to revolutionize the way enterprises solve large-scale problems. As part of this fast-paced, dynamic environment, Product Management Director, Common

Services AI will leverage cutting-edge technology and collaborate with world-class teams to deliver transformative AI solutions. Our Common Services AI team plays a critical role in developing and scaling high-impact AI capabilities across key products, significantly contributing to major company initiatives and product launches.

Salesforce is seeking a visionary and experienced Product Management Director for Common Services AI to drive our cutting-edge artificial intelligence initiatives. This pivotal role involves driving, developing and deploying next-generation analytics, predictive AI solutions, and generative AI capabilities that drive innovation and business value across our product portfolio and for our customers.

The ideal candidate will be a strategic thinker with a strong technical background in AI/ML, a proven track record of leading complex, cross-functional projects, and a passion for building and mentoring high-performing teams. You will play a critical role in shaping the future of AI within Salesforce, ensuring our offerings are intelligent, scalable, and provide a significant competitive advantage. You will be responsible for turning a compelling vision into an executable product roadmap and driving AI innovation.

• Product Strategy & Vision:

  • Drive creation of short- and long-term vision for Common Services AI capabilities, aligning with overall company objectives and product roadmaps, and turning this vision into an executable strategy.

  • Identify emerging AI trends and technologies, and champion their adoption where they can deliver significant impact.

  • Foster a culture of innovation, collaboration, and excellence within the AI teams.

  • Drive continuous improvement in AI capabilities by establishing and evolving robust quality methodologies and best practices.

• Product Oversight & Execution:

  • Predictive AI:

    • Drive the evolution and integration of internal AI/ML accelerator platforms with broader company-wide model development and deployment frameworks to accelerate complex model implementation.

    • Oversee the development of 'bring-your-own-model/container' (BYOC/BYOM) infrastructure to support hosting complex, custom AI models on scalable cloud platforms.

    • Drive the creation of reusable predictive model templates tailored for various industry verticals, including integration with intelligent agent frameworks.

  • Generative AI and Agents:

    • Support various business units in launching intelligent agent solutions tailored to specific industry needs and customer use cases (e.g., for Sales, Service, Financial Services, Health applications).

    • Drive development and enhancement of a common component library for embedding AI capabilities seamlessly into diverse user experiences and products.

    • Lead initiatives to develop AI-powered automated data entry and form-filling capabilities based on diverse inputs like call transcripts, chat transcripts, documents, and other unstructured data sources.

    • Drive the development of next-generation AI agents that perform research across internal and external data sources to uncover key business relationships, customer insights, and sales intelligence.

• Cross-Functional Collaboration & Stakeholder Engagement:

  • Partner closely with Apps & Industries product teams, engineering, design (UI/UX), data science, sales, and other key business units to deliver tailored, integrated AI solutions that meet diverse business needs.

  • Effectively communicate AI strategy, project status, and outcomes to executive leadership and other stakeholders.

  • Engage with internal customers and early adopter customers to gather insights, validate solutions, and identify new opportunities for scaling AI solutions.

  • Represent Salesforce as an AI thought leader in customer interactions, at industry events, and across the broader tech ecosystem.

  • Internally, work with a multi-disciplinary team of AI/ML engineers, data scientists, and product managers.

• Operational Excellence:

  • Establish and maintain best practices for AI development, deployment, and operations (MLOps), covering the end-to-end ML lifecycle.

  • Ensure the scalability, reliability, and security of AI services and platforms.

  • Manage budgets and engineering capacity for all Common Services AI projects.

• Experience:

  • 8+ years of experience in Artificial Intelligence, Machine Learning, or Data Science.

  • Proven experience leading and scaling high-performing AI/ML teams.

  • Demonstrated success in delivering complex, large-scale AI projects from conception to production, with a proven track record of taking products from inception to launch and driving AI innovation.

  • Experience managing multiple product streams and initiatives concurrently.

  • Strong understanding of the AI/ML development lifecycle, including model building, deployment, optimization, data curation, validation, and ongoing monitoring.

  • Proven experience bringing AI capabilities to production and a deep understanding of the AI ecosystem.

• Technical Skills:

  • Deep knowledge of modern AI/ML techniques, including strong understanding of generative and predictive AI, Natural Language Processing (NLP), and advanced analytics.

  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools and frameworks.

  • Understanding of data architecture, data pipelines, and big data technologies.

  • Experience with agile development methodologies.

• Collaboration & Communication Skills:

  • Exceptional coaching, and team-building skills.

  • Excellent strategic thinking and problem-solving abilities.

  • Excellent communication and presentation skills, with experience working with executive leadership, external partners, and customers.

  • Proven ability to influence and collaborate effectively across organizational boundaries and build strong relationships.

• Education:

  • Graduate or Master's in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field.

• Experience in enterprise SaaS environments.

• Familiarity with enterprise-grade CRM, data cloud, and business intelligence platforms.

• Experience with specific AI applications in customer relationship management (CRM), customer experience (CX), sales, service, or industry-specific solutions (e.g., Financial Services, Health Cloud).

• Strong knowledge of industry best practices in Generative AI and a passion for staying on top of the latest advancements.

• Published research or contributions to the AI/ML community.

• Opportunity to lead and shape the AI strategy at a market-leading company.

• A dynamic, innovative, and collaborative work environment.

• Competitive salary, bonus, and equity package.

• Comprehensive benefits.

• Opportunities for professional growth and development.

Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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