Job Details

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.

Role Overview

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.

Key Responsibilities

• 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

What We Offer

• 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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