Lead Software Engineer (AI/ML)

Benefits

Parental leave

26 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

12 weeks From the posting source checked Jun 20, 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

$208K-$286K From the posting source checked Jun 20, 2026

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)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

112% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Lead Software Engineer (AI/ML) California - San Francisco; Washington - Seattle Overview of the Role: We are infusing AI into every aspect of our software engineering. While AI is writing the code, validation is what needs to be done to meet enterprise quality. We are looking for an enthusiastic Lead engineer who follows the AI first approach to build and maintain validation of the code and ensure it is production ready for our customers. This individual will be working on our recent acquisition SPIFF, a Sales rep compensation engine that solves a critical problem for the enterprise sales team. This engineer should have an AI first approach and be able to help the team translate from traditional testing to using AI in driving acceleration and accuracy in testing and be a multiplier using AI tools. Prior experience as a member of a Data Science, ML Science, or ML Engineering team is a plus. As a System Quality LMTS, you will play a key role in defining, implementing, and maintaining the quality strategy for Spiff, a Salesforce acquisition and one of Sales Cloud growth engines, With a strong focus on integrating cutting-edge AI technologies. You will collaborate with cross-functional teams, including product development, data science, and AI teams, to ensure that Salesforce's AI-driven solutions meet the highest quality standards for enterprise applications. Key Responsibilities: Drive Innovation & Adoption: Identify opportunities for integrating AI/ML solutions into existing workflows, propose new ones that are high-quality and efficient, and generally positively influence engineering decision-making

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