Jobs and Careers

Senior Manager, Agentforce for Supply Chain

United Statesfull_timeVerifiedPosted 13 Jul 2026

💰 $313,700/yr($197,300/yr – $313,700/yr)

About the role

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.

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.

The Experience

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."

We are seeking a highly experienced and impactful Lead Member of Technical Staff (LMTS) or Principal Member of Technical Staff (PMTS) to serve as a key individual contributor within the Integration & Platform team. This role is crucial for designing, building, and scaling the mission-critical data and integration backbone of our platform. The ideal candidate will possess deep expertise in building robust, scalable data ingestion and export pipelines, integrating custom services with enterprise platforms, and simplifying complex customer APIs.

Key focus areas include:

Platform Integration: Architecting and implementing powerful integrations between our core platform and Salesforce ecosystem products, specifically Mulesoft and Flow.
Data Export & Scale: Leading the design and implementation of highly scalable, efficient, and reliable data export pipelines. This includes integrating our internal "data sources" (CSV files, REST API outputs) with Salesforce Data Cloud and/or Informatica.
ETL Automation & Reliability: Optimizing our existing ETL pipeline infrastructure to support a daily, self-serve customer data synchronization mechanism with Data Cloud. This solution must be fully automated, requiring minimal engineering involvement post-initial setup, and demonstrate exceptional robustness, scalability, reliability, and performance.
Customer API Abstraction: Designing and building simplified, performant, customer-facing APIs and webhooks. This includes creating an abstracted version of high-value functionality currently exposed via complex GraphQL API endpoints, focusing on a minimal, simplified interface for core customer workflows.
Distributed Systems Expertise: Deep understanding and practical experience with event queues, asynchronous task processing, and designing highly available, geographically distributed systems.

What You'll Actually Be Doing

Architect, design, and deliver high-quality, scalable code for complex data integration and platform features.
Drive technical decision-making and project execution as the primary Individual Contributor for integration initiatives.
Conduct thorough code reviews and mentor other engineers on best practices for performance, security, and scalability.
Collaborate cross-functionally with Product Management and other engineering teams to define requirements and deliver solutions that meet business needs.
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (