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Job Category
Product
Job Details
About SalesforceSalesforce 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.
About the RoleSalesforce's Machine Learning Platform and Services is foundational to enabling AI development at scale.
The Sr. Director of Product, AI/ML Platform will:
- Lead the vision and roadmap for our next-generation ML Platform.
- Drive scale, reliability, and interoperability across the stack.
- Accelerate developer productivity through self-service, paved paths, and AI-assisted tooling.
- Partner closely with engineering, security, and business units to operationalize data mesh architecture, experimentation, and governance.
This role is mission-critical to Salesforce's AI strategy, ensuring that every AI team-from Marketing to Core DET-can innovate faster, safer, and at scale.
Key ResponsibilitiesStrategic Leadership- Define and own the ML Platform vision and long-range roadmap, ensuring it stays 1-2 quarters ahead of data science needs.
- Translate organizational goals into platform priorities across infrastructure, feature engineering, experimentation, agent evaluation, observability, and governance.
- Drive alignment with internal stakeholders (DET, Agentforce, Marketing, Product, Security) to scale adoption of platform-managed services.
- Ensure platform investments directly address current challenges (e.g., fragmented infra, siloed teams, lack of enablement).
Developer Experience & Enablement- Reimagine the developer journey for speed, reliability, and simplicity, building paved paths for data integration, model training, and agent deployment.
- Integrate AI-assisted engineering practices (Cursor, MCP) into workflows to boost developer productivity.
- Build self-service capabilities (environment provisioning, feature engineering, experimentation) while enforcing compliance and governance.
- Reduce barriers to entry for data science teams (e.g., standardize environments, support local dev setups, simplify onboarding).
- Foster a collaborative mindset, encouraging cross-team contributions to platform tooling.
Operational Excellence- Ensure high availability and scalability, maintaining rigorous SLAs (99% uptime) across platform services.
- Drive automation, observability, and standardization to improve uptime, performance, and cost efficiency.
- Implement platform reliability engineering practices, proactive incident management, and cost observability.
- Partner with security and infra teams to deliver robust IAM, vulnerability scanning, threat modeling, and compliance (GDPR, SOX, CCPA).
People Leadership- Build, lead, and mentor a high-performing product team, scaling to meet the platform's ambitious roadmap.
- Create an operating model for engagement with data science teams, ensuring inputs, prioritization, and shared accountability.
- Champion a culture of enablement, transparency, and collaboration across Product, Engineering, and Data Science.
What We're Looking For- 10+ years of product leadership experience in platform or infrastructure products, with a focus on ML/AI.
- Proven track record of delivering scalable platform solutions in complex, matrixed environments.
- Deep understanding of AI/ML workflows (feature stores, experimentation, CI/CD, observability, governance).
- Strong communication and executive influencing skills.
- Familiarity with enterprise-grade security, compliance, and governance frameworks.
- Experience driving adoption of open-source technologies and managing vendor/tooling strategies.
- Ability to scale under resource constraints, balancing short-term delivery with long-term vision.
Why It MattersBy joining as Sr. Director of Product, you will:
- Accelerate AI innovation across Salesforce through unified, secure, and reliable platform capabilities.
- Deliver self-service enablement that empowers data science teams to build and experiment without bottlenecks.
- Shape Salesforce's next-gen ML Platform, spanning infrastructure, feature engineering, experimentation, observability, and governance.
- Ensure high availability, compliance, and operational excellence while reducing cost and complexity.
- Be the bridge between strategy and execution, ensuring the platform stays ahead of the company's AI needs.
You'll be at the center of the world's most trusted AI platform building the foundation for how Salesforce develops, governs, and scales its next-generation AI ecosystem.
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.
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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.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ;br>
For New York-based roles, the base salary hiring range for this position is $251,900 to $384,100.
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