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Job Category Software Engineering Job Details
About Salesforce Salesforce 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.
What You’ll Be Doing & Why It Matters Salesforce is seeking a high-impact Capacity Planning Director to drive multi-million dollar, strategic infrastructure decisions that directly safeguard and power our global platform health. Capacity Planners scope, analyze, and forecast the massive infrastructure demand supporting our diverse product portfolio at global scale. In this executive-facing leadership role, you will work across functions, leveraging deep technical expertise and advanced forecasting to influence and inform executive decision-making.
This leader will work closely with senior product owners, engineering leads, and technical service teams across Salesforce. You will synthesize disparate data streams to establish custom models, directly shaping multi-million dollar capital allocation and infrastructure investments. Partnering with top-level executive leadership, you will evaluate architectural frameworks, product and design roadmaps, go-to-market strategies, and user growth models to ensure long-term capacity health and operational efficiency.
In this role, you will manage both financial and availability risk across software and hardware. You will need the ability to dive deep technically with relevant engineering teams and ask probing questions. It is also critical that you can context switch and operate both at the tactical, short-term execution level and the longer term, multi-year, strategic level. Deep strategic knowledge of public cloud infrastructure (AWS, GCP, Azure) and multi-substrate architectural boundaries is essential to drive high-stakes trade-offs and portfolio-wide resource planning.
The role requires comfort with data-driven storytelling, strategic acumen, and the ability to build trust at the highest organizational levels. As a steward of Salesforce’s long-term infrastructure investment strategy, your vision and leadership will influence critical multi-million dollar business outcomes.
Core Responsibilities & Scope
- Enhance a trusted capacity planning data foundation that reconciles service demand, infrastructure utilization, cloud reservations, supplier availability, and cost, with clear metric definitions, ownership, and automated quality checks.
- Lead the development and validation of demand forecasts and scenario models that quantify uncertainty, capacity shortfall risk, and the cost of excess capacity. Track forecast accuracy and bias, and use actual results to improve planning assumptions.
- Manage a team of 3-5 capacity planners who manage reservations for various subsets of service owners across multiple IaaS providers.
- Establish a trusted capacity planning data foundation that reconciles service demand, infrastructure utilization, cloud reservations, supplier availability, and cost, with clear metric definitions, ownership, and automated quality checks.
- Lead the development and validation of demand forecasts and scenario models that quantify uncertainty, capacity shortfall risk, and the cost of excess capacity. Track forecast accuracy and bias, and use actual results to improve planning assumptions.
- Apply AI assistants and agent workflows to automate data investigation, variance analysis, scenario preparation, and executive reporting. Measure improvements in planning cycle time and analytical quality, with human review of consequential recommendations.
- Develop the team’s SQL, Python, statistical modeling, and AI capabilities through coaching, reusable analytical methods, and peer review.
- Apply AI assistants and agent workflows to automate data investigation, variance analysis, scenario preparation, and executive reporting. Measure improvements in planning cycle time and analytical quality, with human review of consequential recommendations.
- Develop the team’s SQL, Python, statistical modeling, and AI capabilities through coaching, reusable analytical methods, and peer review.
Minimum Requirements
- Candidate should have 7+ years of experience in operations, business intelligence, strategy, capacity planning, financial modeling, analytics or similar positions in a related field
- Strong analytical skills with experience consolidating complex datasets across various unconnected systems and platforms to tell a clear story.
- Fundamental knowledge of systems infrastructure and how services interact with the underlying hardware
- Experience building statistical models
- Proven track record using data to influence, advise, and align C-suite and board-level executives at large public companies on complex, high-stakes infrastructure and financial investments
- Experience presenting data in a consistent and repeatable manager to various stakeholders
- Attention to detail with a focus on data quality
- BA/BS in Statistics, Economics, Business, Operations, or Computer Science/Engineering is preferred. Equivalent degree, or experience is equally acceptable.
- Proficiency with SQL, Python, Claude skills/MCP and prompt engineering experience
- Experience in capacity management, planning, forecasting and scheduling is a plus
Preferred Qualifications
- SQL and Python: Hands-on proficiency writing SQL with joins, aggregations, and window functions to reconcile large datasets; using Python, including pandas or equivalent libraries, to build reproducible analyses, forecasting models, and scenario simulations.
- Forecasting and decision analysis: Experience with time-series forecasting, driver-based models, backtesting, prediction intervals, and sensitivity analysis. Ability to explain model assumptions, distinguish forecast error from changes in business demand, and translate uncertainty into capacity and investment recommendations.
- Data quality and visualization: Experience defining consistent metrics, tracing data lineage, and implementing checks for missing, stale, or inconsistent data. Ability to build dashboards in Tableau or an equivalent platform that connect demand, utilization, commitments, cost, and availability risk.
- Applied AI fluency: Demonstrated experience using enterprise AI assistants to develop and review SQL/Python, investigate anomalies, and automate recurring analytical workflows. Ability to design prompts, ground outputs in approved data, validate generated code and conclusions, and evaluate accuracy and business impact.
- Experience building AI workflows using APIs, reusable skills, or Model Context Protocol (MCP), with appropriate access controls and human approval steps.
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.
Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
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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: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
