Senior Decision Scientist- Agentic Analytics

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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 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.

Salesforce is pioneering the future of Agentic AI - AI-powered digital agents that transform how customers interact with our website, products, and events.This role blends the strengths of data engineering, semantic data modeling, and marketing analytics, making the Senior Decision Scientist a key driver of Agentic AI measurement and insight at Salesforce.

This high-impact individual contributor role will own the end-to-end measurement strategy for our Web Agent and Event Agent, design the semantic data foundations in Salesforce Data Cloud, and unify real-time customer signals for identity resolution. You will blend engineering-level technical depth, data modeling expertise, and marketing analytics acumen to ensure Salesforce can both prove ROI today and enable next-generation conversational analytics in Tableau Next.

Areas You’ll Cover

1.  Agent Measurement & Analytics

• Propose and execute a comprehensive measurement strategy for Salesforce’s external Agents.
   

• Leverage expertise in product analytics, telemetry, and instrumentation to ensure high-quality event capture in Agentforce logs and Salesforce Data Cloud.
   

• Integrate Agentforce data with Google Analytics (GA/GA4) for web-analytics-style reporting on agent engagement and funnel impact.
   

2. Data Modeling & Semantic Layer Foundations

• Partner with engineering to design Data Model Objects and semantic layers in Salesforce Data Cloud.
   

• Build scalable data foundations that power conversational, natural language–driven analytics experiences in Tableau Next.
   

• Ensure semantic consistency and governance across metrics, reducing fragmented reporting.
   

3. Real-Time Signals & Identity Resolution

• Lead projects that integrate real-time web analytics signals (via APIs) with Salesforce Data Cloud.
   

• Enrich customer profiles by linking anonymous web traffic to known identifiers (e.g., Trailblazer ID, Lead ID, Contact ID from CRM).
   

• Identify and close data coverage gaps to improve personalization and attribution accuracy.
   

What We’re Looking For

Required

• 7+ years of experience in analytics, decision science, or product data roles.
   

• Strong expertise in SQL and working knowledge of Python or R.
   

• Hands-on experience with web analytics (Google Analytics/GA4) and event log/telemetry data.
   

• Proven track record designing data models and semantic layers in platforms like Salesforce Data Cloud, Snowflake, or BigQuery.
   

• Ability to translate complex data into business-ready insights tied to funnel, lead generation, and pipeline contribution.
   

• Strong cross-functional collaboration skills, bridging data engineering, product, and business teams.
   

Preferred

• Experience with Tableau or other BI platforms; exposure to conversational analytics is a plus.
   

• Background in customer data platforms (CDPs), identity resolution, or real-time data streaming.
   

• Familiarity with AI agent frameworks (Agentforce, chatbots, or conversational AI systems).
   

• Comfort working in emerging product spaces, with curiosity to learn and adopt new tools quickly.
   

Why Join Us

This role is at the center of Salesforce’s Agentic AI strategy. As a Senior Decision Scientist, you’ll define how digital agents are measured, build the semantic foundations that power AI-driven analytics, and connect real-time customer signals to actionable insights.

By operating at the intersection of marketing decision science, data modeling and data engineering, you will ensure that Salesforce not only proves ROI on today’s Agent investments, but also builds the data infrastructure to enable the next era of AI analytics.

If you want to push the boundaries of analytics, data platforms, and AI while making an immediate business impact, this is the role for you.

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

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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.

For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.