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Senior/Lead AI Software Engineer, Agentforce for Supply Chain

Salesforce

Senior/Lead AI Software Engineer, Agentforce for Supply Chain

Salesforce

Bellevue, WA; Palo Alto, CA; San Francisco, CA; Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$148,500 - $260,100

Benefits & Perks

Learning and development stipend

Flexible PTO policy

Wellness benefits

Health, dental, and vision coverage

Parental leave program

Required Skills

Python

TensorFlow

PyTorch

Senior/Lead AI Software Engineer

  • Agentforce Supply Chain

Job Category

Software Engineering

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.

Overview of the Role

Join an agile team with deep startup roots. We operate as a high-velocity 'startup-within-Salesforce,' following our recent acquisition. You'll be managed by the same founders and engineers who built the original company, offering the autonomy of a small team backed by the global scale and trust of Salesforce. You will have the unique opportunity to build a '0 to 1' product with the founding team, while leveraging Salesforce's world-class Data Cloud and security infrastructure to drive immediate global impact at scale.

Global supply chains still rely on slow, manual processes—email, spreadsheets, and fragmented data. The economy moves fast but supply chains don't, creating an inefficiency that affects the $13T of goods shipped annually and is one of the largest untapped opportunities in modern enterprise. Agentforce for Supply Chain is reimagining the supply chain with an AI-powered platform for designing, automating, and running end-to-end business processes, with seamless collaboration through familiar channels like email. For Salesforce, this represents a massive growth opportunity in the back office, with innovations that flow into the front office. Customers are clamoring for more, rapidly expanding their use cases as we enter an exhilarating growth phase. As one user put it: "I've been waiting for this for 20 years."

What You'll Do

Drive Agent Development & Architecture

  • Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency
  • Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability
  • Design and implement planning systems that enable agents to execute multi-step workflows autonomously

Lead Technical Strategy

  • Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps
  • Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks
  • Drive adoption of enterprise-grade observability tools and cloud infrastructure best practices

Mentor & Collaborate

  • Mentor engineers to improve code quality, AI/ML practices, and system design
  • Collaborate with cross-functional teams including Design, Product Management, and industry experts to build high-quality product features
  • Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic environment
  • Engage directly with customers to gather insights and validate technical approaches
  • Participate in hiring decisions and contribute to our culture of continuous learning

Requirements

  • B.S. in Computer Science with coursework in Artificial Intelligence (M.S. preferred)
  • 5+ years (7-12 for Lead, 4-8 for Senior) of industry experience in Software Engineering, with a focus in AI/ML
  • Proficiency in multiple programming languages such as Python, Go, Java, or C++
  • Strong background in APIs, data modeling, and databases
  • Proficient with modern AI orchestration frameworks (e.g., Lang Chain, Llama Index) and production-grade serving libraries like v

LLM or Hugging Face TGI:

  • Demonstrated ability to work both independently and collaboratively in a dynamic environment
  • Excellent written and verbal communication skills
  • Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers
  • A proven collaborator who can manage stakeholders and drive consensus across diverse engineering and product teams
  • Experience with enterprise-grade observability tools (e.g., Splunk) and cloud infrastructure (AWS/GCP)

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)
  • Employee stock purchasing program

More details about company benefits can be found at: https://www.salesforcebenefits.com

Compensation

The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is**$178,900 - $285,800** annually.

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

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via the Accommodations Request Form.

Equal Opportunity Employer Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. 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.

Application Note

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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About Salesforce

Salesforce

A cloud-based software company that provides customer relationship management software and applications.

10,001+

Employees

San Francisco

Headquarters

$243B

Valuation

Reviews

4.0

16 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Competitive compensation packages

Remote work flexibility

Good benefits (headphone/internet reimbursement)

Cons

Ongoing layoffs and job insecurity

Poor refresher/yearly stock grants

Condescending interview processes

Salary Ranges

45 data points

Mid/L4

Senior/L5

Mid/L4 · Analyst Business Intelligence

1 reports

$156,823

total / year

Base

$120,633

Stock

-

Bonus

-

$156,823

$156,823

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Offer Rate

20%

Experience

Positive 20%

Neutral 20%

Negative 60%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview Panel

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience