Director, Data Engineering — Customer Success Score

Benefits

Parental leave

26 weeks Source: https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/. source Last checked May 7, 2026.

Non-birth-parent leave

12 weeks Source: https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/. source Last checked May 7, 2026.

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$238K-$345K not verified - source not recorded; timestamp not recorded

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$78,856 U.S. median for this role

Projected growth (BLS Employment Projections)

+0.8% - Slower

269% above the BLS role benchmark for customer success aggregate.

Posted salary is far from this role benchmark; treat it as low confidence.

Matched to SOC 11-1021 - Customer Success aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Director, Data Engineering — Customer Success Score California - San Francisco; Washington - Seattle 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

Read the full description at careers.salesforce.com. FewerJobs shows a preview and links to the original posting.