Job Category

Data

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 were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces 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

Were 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

Youll 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

Youll independently design, train, and operationalize models in Model Builder, stand up rigorous evaluations for agentic workflows, and deliver explainable signals from prospect scoring to deal-risk insights that sellers genuinely act on

Youll be the recognized SME in your domain, influencing product roadmaps and coaching junior engineers along the way

About the Team

Were 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 Youll 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 Were 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

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist (Hyderabad)
🏢 salesforce
📍 Hyderabad