Senior Director of Product, Salesforce
AI/ML Platform
$251.9-384.1k
+ ESPP
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$251.9-384.1k
+ ESPP
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 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
What the job involves
- Salesforce’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
- 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)
- 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
- 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)
- 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
- By 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
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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