Salesforce Logo

Salesforce

Software Engineering SMTS

Posted 12 Days Ago
Be an Early Applicant
In-Office
Bellevue, WA, USA
149K-246K Annually
Senior level
In-Office
Bellevue, WA, USA
149K-246K Annually
Senior level
Build and operate AI agent systems that learn from demonstrations, combine reasoning with deterministic workflows, recover from failures, and verify outcomes. Develop backend services with persistent state, concurrency, retries, secure customer access, evaluations, and diagnostics. Collaborate directly with customers to prototype and improve automation, influence product roadmaps, make technical decisions, mentor engineers, and support hiring. The role requires hands-on LLM system development, production ownership, and proficiency in Python, Go, Java, or JavaScript/TypeScript.
The summary above was generated by AI

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 a team of 10 within Salesforce AI Labs, bringing computer-use AI into production with the autonomy of a small startup and the reach of Salesforce. We’re building a product that learns from human demonstrations and turns complex workflows into repeatable automation across enterprise applications.

Making computer use dependable raises hard engineering questions. How does an agent know it succeeded? When should it reason, and when should it follow a deterministic path? How should it recover when an application changes or ask for help before making a consequential mistake?

You’ll help answer those questions in production. Our team works directly with customers, building alongside them and turning discoveries into reusable product capabilities. You’ll own substantial systems from design through deployment and help take a new offering from early customer adoption through general availability, backed by Salesforce’s scale and reach.

What You'll Actually Be DoingDrive Agent Development & Architecture
  • Build systems that learn from demonstrations and combine AI reasoning with deterministic execution to complete workflows reliably.

  • Develop recovery and verification capabilities so agents can adapt to changes, confirm outcomes, and recognize when human intervention is needed.

  • Build backend services with robust workflow state management, failure handling, and secure access to customer environments.

  • Create evaluations and diagnostics that measure task success, expose regressions, and make failures understandable.

Build Directly With Customers
  • Work alongside customers to understand their workflows, prototype solutions, and validate results in their environments.

  • Investigate where automation succeeds or fails, then turn those findings into improvements to the core product.

  • Help customers move from their first successful workflow toward repeatable, increasingly self-service adoption.

  • Partner with forward-deployed engineers and product management to decide which customer needs should shape the roadmap.

Shape Technical Direction & Grow the Team
  • Own technical decisions for substantial components, from initial design through production operation.

  • Evaluate model selection, tool use, and context management against reliability, latency, and cost.

  • Mentor peers through design discussions and code reviews, and participate in hiring.

You're Our Person If...
  • You’ve independently owned a substantial backend service or system through design, deployment, production failures, and subsequent improvements.

  • You have hands-on experience building and evaluating LLM-powered systems, and can explain how you assessed their quality and failure modes.

  • You can reason through concurrency, persistent state, retries, and partial failures in systems that perform consequential actions.

  • You’re proficient in Python, Go, Java, or JavaScript/TypeScript.

  • You can turn an unclear customer problem into a bounded technical approach, test it with users, and carry it through to production.

  • You want direct customer engagement to be part of your engineering work, including investigating problems and discussing technical tradeoffs.

  • You use AI development tools thoughtfully and take responsibility for the correctness, security, and maintainability of what you ship.

Helpful Experience
  • Agent tool use, code generation, automated recovery, or evaluation frameworks.

  • Browser automation, workflow orchestration, or enterprise integrations.

  • Building an early-stage product or working in a customer-facing engineering role.

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 $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.

Salesforce Bellevue, Washington, USA Office

929 108th Avenue NE, Bellevue, WA, United States, 98004

Similar Jobs

12 Days Ago
In-Office
Bellevue, WA, USA
149K-246K Annually
Senior level
149K-246K Annually
Senior level
Cloud • Software
Build reliable browser automation and browser-extension capabilities for Salesforce AI Labs. Develop recording, targeting, execution, debugging, replay, and recovery systems for complex web applications. Investigate customer failures across browser behavior, frontend state, and backend services, then turn findings into reusable product capabilities. Own architecture, collaborate with AI engineers, mentor peers, participate in hiring, and ensure shipped systems are correct, secure, maintainable, and production-ready.
Top Skills: Browser ExtensionsDomJavaScriptLlm-Powered ApplicationsPlaywrightTypescript
8 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
160K-270K Annually
Senior level
160K-270K Annually
Senior level
Legal Tech • Software • Generative AI
Own Eve’s messaging house, positioning, competitive narrative, first-call deck, keynote and event content. Partner with executives, Product, Sales, Enablement, Demand Gen, and Content to ensure consistent, differentiated messaging. Gather market feedback from customers, prospects, and sales calls, translating technical AI capabilities into clear value for plaintiff attorneys. The role requires exceptional writing, executive presence, strategic messaging expertise, and 7+ years of B2B SaaS or legal technology product marketing experience.
Top Skills: Artificial IntelligenceB2B SaasLegal Technology
An Hour Ago
Remote or Hybrid
USA
95K-140K Annually
Mid level
95K-140K Annually
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Performs red team operations, penetration testing, adversary emulation, and security assessments across systems, applications, databases, and networks. Develops customer-facing reports and recommendations, communicates findings to technical and executive audiences, supports information security programs, and provides operational guidance during crisis scenarios. Requires advanced security tooling, networking, systems, scripting, and red team expertise, with occasional travel.
Top Skills: Adversary EmulationAi TechnologiesAutomation ScriptingBurp SuiteCobalt StrikeFirewallsLinuxLoad BalancersmacOSMail ServersMetasploitMitre Att&CkNessusNmapPenetration TestingProxiesRoutersSwitchesUnixVulnerability AssessmentWeb ServersWindowsWireless Access Points

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account