Product Management Director, Common Services AI

Salesforce.com, Inc.-posted about 2 months ago
$230,800 - $334,600/Yr
Full-time • Mid Level
Bellevue, WA
5,001-10,000 employees
Publishing Industries
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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.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Competitive salary, bonus, and equity package.
  • Comprehensive benefits.
  • Opportunities for professional growth and development.
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