Senior Software Engineering - Salesforce ECommerce Agent

Senior Software Engineering - Salesforce ECommerce Agent

Join Salesforce as a Senior Software Engineering - Salesforce ECommerce Agent. 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.

Overview

You’ll join a critical and innovative Salesforce Commerce project, advancing online shopping into the realm of agentic commerce. As an ML engineer, you’ll work at the intersection of large‑scale backend systems and machine learning applications. This role emphasizes integration with the ML ecosystem—leveraging models, embeddings, retrieval pipelines, and inference services—rather than model development. You will design and build systems that make intelligent use of ML functionality and ensure that ML‑enabled features are reliable, performant, and seamlessly integrated with core services.

Strong awareness of ML concepts (such as model lifecycle, training / inference trade‑offs, and evaluation principles) is essential. You will frequently collaborate with ML research and platform teams to integrate, deploy, and monitor intelligent systems that enhance the shopper experience. We value a start‑up mentality—people who learn fast, innovate quickly, and leverage both Salesforce and industry tools for rapid iteration.

Your impact : you will help shape this high‑impact project from its earliest version to commercial success, driving industry innovation in agentic shopping. By continuously learning and adapting as new design patterns for LLM‑enabled products emerge, you’ll play a key role in setting the direction for next‑generation machine learning‑driven shopping experiences.

Responsibilities

• Apply solid architectural principles to ensure sound ML implementations and general software engineering excellence.
• Demonstrate autonomy in defining project milestones and executing end‑to‑end delivery with minimal oversight.
• Mentor and guide junior engineers, fostering technical growth and collaboration.
• Work closely with product managers to advise on technically feasible approaches to achieving product objectives and long‑term goals.
• Stay intellectually curious and maintain awareness of emerging technologies and innovations relevant to ML systems, commerce, and large‑scale backend design.

Required Skills

Preferred Skills

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. 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. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.

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. For California‑based roles, the base salary hiring range for this position is $172,000 to $236,500.

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