
Senior Manager, AI Sustainability
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Salary
💰 $143,400 - $216,900 per year
Job Level
Tech Stack
About the role
- Partner with Product teams to mature AI model efficiency benchmarks and selection criteria prioritizing environmental performance
- Lead the design and implementation of internal environmental telemetry and automated tracking tools aligned to standards and measurement frameworks for AI usage transparency
- Collaborate with Engineering and Infrastructure teams to optimize compute power utilization and minimize energy consumption across data center infrastructure
- Work with Infrastructure to implement energy-efficient data center operations and cooling optimization for AI workloads
- Partner with hyperscaler providers to leverage geo-aware routing and clean energy availability for compute placement
- Drive 'right-sizing' AI models and token usage to optimize computational demand across Agentforce and AI platform services
- Develop and drive accountability towards comprehensive AI and infrastructure sustainability KPIs tied to sustainability targets, working across cross-functional team
- Lead internal alignment initiatives with AI Research, Legal, and Business units to embed sustainability into AI development lifecycle
- Partner with Procurement to establish sustainability requirements for AI model providers and ensure supply chain transparency and data acquisition
- Collaborate with relevant teams on clean energy procurement, AI and infrastructure-related sustainability risks
- Support Salesforce in influencing the development of global sustainable AI standards
- Collaborate on customer advisory programs and sustainability roundtables, leveraging Salesforce's position as a trusted AI sustainability partner
Requirements
- 6+ years of experience in technical product management, software engineering, AI implementation, or data center infrastructure
- You have a passion for sustainability and are eager to apply your technical skills to decarbonizing AI and data centers
- Understanding of AI technologies, model development, LLM architectures, and operational deployment in enterprise cloud environments
- Familiarity with AI model efficiency/optimization techniques and agentic frameworks
- Ability to perform data analysis to translate raw system telemetry into actionable business strategies and sustainability KPIs
- Strong business communication skills focused on taking complex topics and making them understandable to a variety of audiences.
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI implementationdata center infrastructureAI model developmentLLM architecturesdata analysisAI model efficiencyoptimization techniquestelemetrysustainability KPIscomputational demand optimization
Soft Skills
business communicationcollaborationleadershipcross-functional teamworkaccountabilityproblem-solvingstrategic thinkingadaptabilityinfluencingcustomer advisory