New

Software Engineering SMTS

salesforce.com, inc.
parental leave, 401(k)
United States, California, San Francisco
1 Market Street (Show on map)
Jun 26, 2025
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. About Us: Salesforce is the world's #1 AI CRM platform. Our Cloud Economics and Capacity Management team plays a crucial role in developing intelligent, data-driven tools that empower internal stakeholders to optimize infrastructure cost and utilization at a global scale, spanning both 1st Party and Public Cloud providers. We leverage advanced data science techniques to transform petabytes of data into actionable predictions, providing business insights to internal stakeholders. Position Overview: We are seeking a talented and motivated Data Scientist with experience deploying, monitoring, and maintaining predictive models to join our dynamic Cloud Economics and Capacity Management team. In this role, you will collaborate with internal stakeholders to understand their requirements, design innovative time series forecasting solutions, and contribute to the development, release, and maintenance of time series forecasting models. As a technical lead within our team, you will have the unique opportunity to directly impact the efficiency of Salesforce's global infrastructure.You will also play a key role in advancing our use of large language models (LLMs) to accelerate insight generation. By integrating LLMs with our forecasting and cost data, you'll help automate root cause analysis, generate proactive recommendations, and reduce the time from data to decision for infrastructure stakeholders. Responsibilities: Partner with cross-functional teams to understand business problems, produce insights, and inform infrastructure strategy at Salesforce Participate in the requirement, design, and development discussions driving improvements to the data science lifecycle Develop and deploy production-ready models that contribute to actionable insights for capacity planners, financial analysts, service owners, and technical leaders Apply LLMs and prompt engineering to automate the generation of insights and explanations from time series forecasts and anomalies Continuously improve algorithmic performance with a focus on complex time series forecasting in the capacity management and FinOps space Collaborate effectively with team members and suggest improvements to reduce time-to-insight and mature our data science lifecycle Qualifications: A related technical degree required 6+ years of industry experience and a passion for crafting, analyzing, and deploying machine learning-based solutions Experience working as part of a team with mature data science products Consistent record in building data science products using modern development lifecycle methodologies: CI/CD, QA, and Agile Methodologies Experience deploying, monitoring, and maintaining data science products in cloud environments, such as AWS Good understanding of Machine Learning methods and Statistics, including data science project lifecycle and associated challenges at each stage of development Proficient at writing good quality, well-documented and tested, scalable code - Python preferred. Experience with tools like mlFlow, Airflow, Docker, and cloud platforms such as AWS/GCP is ideal Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL, and Spark Proven experience in machine learning engineering with a focus on time series forecasting Familiarity with LLM applications in data science, including prompt engineering and generative insight workflows, is a plus Excellent communication skills with the ability to interact directly with internal stakeholders Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. 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. For Washington-based roles, the base salary hiring range for this position is $157,600 to $216,700. For California-based roles, the base salary hiring range for this position is $172,000 to $236,500.