Director, Data Engineering — Customer Success Score

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Job Category

Software Engineering

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.

About the Role

We're building data products that will define Salesforce's next era of agentic intelligence — powering smarter, adaptive, and self-optimizing product experiences at enterprise scale. As Director of Data Engineering, you'll set the strategic direction, architectural vision, and organizational execution for the data systems behind Customer Success Score (CSS), one of Salesforce's most critical product intelligence assets. This is a high-visibility leadership role for a strategic technologist who thrives at the intersection of data, AI, and platform engineering.
 

What You'll Do

Platform Strategy & Roadmap

• Own the roadmap for the CSS data platform, aligning engineering investment with Salesforce's agentic and AI-first product strategy

• Establish architectural principles and governance standards for telemetry, semantic modeling, and metadata-driven discovery at enterprise scale

• Drive convergence across product analytics, ML infrastructure, and AI data foundations — breaking down silos and creating shared organizational leverage

• Represent data engineering at the executive level; shape organizational priorities and secure resources for strategic initiatives

Technical Architecture & Excellence

• Set and uphold the technical bar for distributed data systems — including fault-tolerant batch and streaming architectures (Spark, Trino, Flink, Kafka, dbt, Snowflake)

• Define engineering standards across software quality, CI/CD, observability, and reliability

• Guide platform evolution to support autonomous agent reasoning, real-time adaptive decisioning, and AI-native product experiences

• Champion semantic consistency, metric governance, and trusted signal definition across the organization

• Evaluate emerging technologies and drive adoption decisions that extend the platform's strategic value

Organizational Leadership & Talent

• Lead and grow multiple engineering teams, including managers and senior individual contributors

• Build a culture of ownership, psychological safety, and high accountability

• Drive succession planning, leadership development, and talent retention

• Define hiring strategy and org structure to scale with business needs

Executive Influence & Cross-Functional Partnership

• Build deep partnerships with product, data science, AI platform, telemetry engineering, and infrastructure leaders

• Communicate architecture, trade-offs, and investment decisions clearly to VP and C-suite stakeholders

• Align technical execution with business outcomes and enterprise priorities

• Influence Salesforce-wide standards for data and AI engineering beyond your direct scope

What We're Looking For

Required Qualifications

• 15+ years of experience in data or platform engineering, with 5+ years leading engineering managers and multi-team organizations

• Proven track record building and scaling high-performing engineering orgs in complex, cross-functional environments

• Deep expertise with Spark, Trino/Presto, dbt, Snowflake, and modern lakehouse architectures

• Experience with streaming systems (Flink, Kafka), including topic design, partitioning, and scaling

• Strong command of semantic layers, data modeling, and enterprise metrics systems

• Experience with AWS cloud infrastructure (S3, EMR, ECS, IAM) and containerized environments

• Executive-level communication skills — able to influence without authority and present at the VP/C-suite level

• A related technical degree required.

Preferred Qualifications

• Experience with AI data engineering patterns, agentic data systems, or autonomous pipeline design

• Familiarity with MCP, knowledge graphs, or modern metadata platforms

• Experience designing programmatic data discovery and consumption frameworks
   

Why Salesforce

At Salesforce, we believe that business is the greatest platform for change. We're committed to creating a workforce that reflects society — and to building an environment where every employee feels seen, supported, and empowered to do their best work.

We're not just scaling a data platform — we're transforming how engineering teams are built and operate in an AI-native world, where data systems are the foundation of autonomous, intelligent product experiences.

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

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.

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.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.