Agentforce Operations is reimagining the supply chain with an AI-powered platform for designing, automating, and orchestrating end-to-end business processes, with seamless collaboration through familiar channels like email and Slack. For Salesforce, this represents a major back-office growth opportunity, while also delivering innovations that enhance the existing front-office business. 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
You would be joining at an exciting inflection point in Agentforce Operations’ history. Our product was built with intentional startup speed that created tight coupling, limited observability, and reliability and scaling gaps that are now surfacing as customer adoption accelerates.
As a performance engineer for Agentforce Operations, your mandate will be to radically optimize the scalability, resilience, and performance of our product and platform across the entire stack to help usher in this next phase of growth. The ideal candidate would be able to develop a deep technical understanding of our architecture and then deliver the end-to-end implementation of optimizations that would enable us to achieve greater scalability while simultaneously improving our reliability. Agentforce Operations manages complex, infinitely configurable states with equally complex state transitions and interfaces to teams across the organization. That means you'd be tackling a wide array of challenges that would include optimization of our existing data model, streamlining of our asynchronous operations patterns, profiling and rightsizing our infrastructure, and developing both the tools and observability to run experiments and empirically validate results.
You would be considered the subject matter expert in matters of application performance and as such you’d operate with meaningful autonomy while building alignment across engineering. This role comes with ample opportunity for advancement by raising the bar on system quality, leveling up the engineers around you, and ultimately accelerating us toward our ambitious scaling goals.
Responsibilities
Diagnose and prioritize architectural problems across our distributed backend systems, contributing technical perspective to help the team invest in the right foundational work at the right time
Design and implement solutions to hard system problems including application performance optimization, infrastructure management, and data model improvements.
Raise and maintain our engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep our product healthy and performant.
Collaborate with peers across customer, product, and engineering to deeply understand customer needs, make pragmatic tradeoffs that maximize impact, and align on engineering reality
Mentor engineers as a senior peer and force multiplier, sharing expertise across backend architecture and system design while helping shape stronger engineering judgment, more effective collaboration, and a higher-performing team
Required Qualifications
5+ years of industry experience as a backend engineer, building and operating user-facing applications and their underlying infrastructure
Mastery of Golang, GraphQL, and Postgres, with demonstrated experience delivering high-performance optimizations.
Major public cloud provider experience (AWS preferred).
Deep expertise in multiple areas of backend engineering such as data modeling, db performance tuning, state management, API design, transactionality, concurrency, memory management, fault tolerance, and scaling, with the ability to pick up new technologies quickly
Repeated ownership of foundational system work in complex distributed systems, from diagnosing architectural problems to designing solutions to driving adoption across a team.
Excellent writing and speaking skills and ability to lead real-time technical-design discussions
Demonstrated ownership and accountability, with a consistent track record of high standards, continuous improvement, and low-ego collaboration
Preferred Qualifications
B.S. in Computer Science (M.S. preferred)
Experience working in AWS, specifically with RDS, Elasticache, S3, and EKS.
Exposure to Temporal, Istio, or Typesense
Experience with CI/CD systems, specifically Jenkins and Spinnaker.
Exposure to the supply chain, logistics, or manufacturing industry. (We will teach you otherwise!)
Familiarity with the Salesforce platform
Experience with workflow engines
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
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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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.

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