Salesforce
Posted 1mo ago

Software Engineer, MTS - Agentforce Optimization Agent & Agent Studio

Salesforce
San Francisco, California, United States
$141k-$194k/yrHybridFull Time
Responsibilities
  • building pipelines
  • shipping integrations
  • optimizing performance
Requirements
  • Experience building distributed backend systems
  • Proficiency in Java or Python
  • AI/LLM exposure
  • Advanced prompt engineering, and a related technical degree
Technical tools mentioned
JavaPythonReactAWSGCPAzureClaude CodeGitHub CopilotCursorData CloudSTDMFeedback DMOs

Job description

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
Join the Agentforce Optimization Agent team, where we're building the first AI-native observability platform for agentic systems. Our product analyzes millions of agent sessions in production, using advanced reasoning to surface performance bottlenecks, conversation quality issues, and optimization opportunities that would take human analysts weeks to discover.
You'll work at the intersection of distributed systems, agentic AI, and real-time analytics — shipping features that directly impact how customers understand and improve their AI agents at scale. This role spans two critical workstreams: building the Optimization Agent backend and integrating observability tooling into Agent Studio within Salesforce Core.


What You'll Actually Be Doing

  • Build intelligent data pipelines: Design and implement scalable systems that query, process, and analyze agent session data from Data Cloud (STDM, Feedback DMOs) with sub-second latency requirements
  • Ship Agent Studio integrations: Contribute to the Agent Developer Lifecycle (ADLC) by building UI integrations that surface optimization insights directly in the Agent Studio Sessions & Details views — working across the full stack from React frontend to backend services
  • Optimize agent reasoning performance: Tackle challenging latency problems — output token optimization, reasoning step reduction, tool call chaining — to deliver a responsive user experience while maintaining analytical depth
  • Build for Salesforce Core at scale: Integrate observability features into the core Salesforce platform, ensuring they work reliably across multi-tenant, multi-cloud production environments with strict security and compliance requirements
  • Own features end-to-end: From backend services (Java/Python) to data queries to UI components, you'll own features from design through customer deployment

You're Our Person If...

  • You have experience building and scaling distributed backend systems or platform services in a production environment, with strong proficiency in Java, Python, or a comparable language.
  • You have exposure to agentic AI frameworks or LLM-integrated products.
  • You bring a demonstrated, genuine AI-first approach to engineering — using AI tools (e.g., Claude Code, GitHub Copilot, Cursor) to move faster, build fluency across the stack, and contribute well beyond your core specialty.
  • You have advanced prompt engineering skills and the ability to write precise, structured prompts, and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
  • A related technical degree required.

Even Better If...

  • You have experience with intelligent systems, runtime evaluation, automated detection, or observability tooling in large-scale distributed environments.
  • You've worked in a multi-cloud environment (AWS, GCP, or Azure) and understand infrastructure-level performance constraints.

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

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: 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. 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 $117,200 - $176,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $194,200 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

About Salesforce

Sells cloud-based customer relationship management and business software solutions.

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