Description
About the Role
We're looking for a Senior Member of Technical Staff (SMTS) to own the end-to-end data science and software systems that power predictive and agentic intelligence for Sales Cloud. You'll work at the intersection of cutting-edge AI and real-world sales outcomes — building models that help sellers close deals faster, understand pipeline risk, and take action with confidence.
This is a high-ownership, high-impact role. You'll independently design, train, and operationalize models in Model Builder, stand up rigorous evaluations for agentic workflows, and deliver explainable signals — from opportunity scoring to deal-risk insights — that sellers genuinely act on. You'll be the recognized SME in your domain, influencing product roadmaps and coaching junior engineers along the way.
About The Team
We're part of C360 Apps – Sales Cloud, building AI and data science applications used by Sales Cloud customers worldwide. Our work spans predictive ML, forecasting, and sales planning — all powered by Agentforce, Data Cloud (Data 360), Model Builder, and the latest LLM tooling. We sit at the frontier of intelligent, data-driven selling and are shaping what that looks like for the next generation of Salesforce products.
What You'll Do
Design, train, and deploy production ML models for core Sales Cloud use cases: opportunity scoring, deal-risk detection, and seller-facing explainable insights
Build and operationalize agentic workflows on Agentforce, including LLM-as-judge evaluation frameworks and agentic evaluation metrics
Partner closely with Product Management to help shape and drive the roadmap — bringing engineering perspective to prioritization and feasibility decisions
Explore and adopt new technologies: improved forecasting methods, RAG architectures, prompt tuning strategies, and emerging AI tooling
Mentor and coach junior engineers on the team
What We're Looking For
Essential
Strong object-oriented programming skills in one or more of: Python, Java, JavaScript, C++, C#, Ruby (Python strongly preferred for ML work)
Solid experience with relational databases, SQL, PL/SQL, and schema design
Hands-on experience with both supervised and unsupervised machine learning
Experience building RAG applications and agentic workflows, including prompt tuning and optimization
Familiarity with LLM evaluation, LLM-as-a-judge patterns, and agentic evaluation metrics
Strong communication and collaboration skills — you can influence without authority and bring partners along
Nice To Have
Experience with Agentforce, Data Cloud / Data 360, Model Builder, or Salesforce BDTs
Familiarity with the Salesforce core codebase
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.
At Salesforce, we strive to create an accessible and inclusive experience for all candidates.
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form.
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Equal Opportunity 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.
Salesforce welcomes all.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. 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.
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