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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.

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 andbe your best, and our AI agents accelerate your impact so you cando 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.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.