Lead Software Engineer

Posted 15 Hours Ago
Be an Early Applicant
Bellevue, WA, USA
In-Office
173K-260K Annually
Expert/Leader
Cloud • Software
If you’re ready to build your future — and the future of technology — then you’re in the right place.
The Role
Lead development of scalable, low-latency agentic analytics systems using LLMs and generative AI. Collaborate with product, engineering, and research to design, iterate, evaluate, and deploy production-grade full-stack solutions, implement logging/tracing, optimize streaming and asynchronous processing, and apply DevOps and cloud best practices.
Summary Generated by Built In

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.

Salesforce is seeking a passionate and highly skilled AI/SW Engineer to join our team in Tableau developing the #1 AI-powered analytics agents for helping customers see, understand, and act on data.  

On the Analytics Agent team, you will work at the forefront of agentic application development, building groundbreaking, multi-modal products and tools that transform how people engage with data.

This is an opportunity to contribute to a dynamic, fast-paced environment, applying your expertise to build scalable, data-intensive systems for analytics. We're looking for curious and motivated engineers who want to play a significant role in pushing the boundaries of what AI agents can achieve.
 

Key Responsibilities

  • Collaborate with product managers, fellow engineers, and researchers to build next-generation generative AI products and prototypes to make our customers successful.

  • Propose and rapidly iterate on ideas and experiments, as though in a startup environment, to achieve product-market fit for cutting-edge analytics agents.

  • Build and shape user experiences using context engineering and generative AI capabilities.

  • Design and build scalable and performant agentic systems, taking throughput and latency into account, recognizing how and where to apply parallel processing, stream processing, and asynchronous I/O.

  • Evaluate the performance and quality of the agentic solutions you are building against customer use cases.

  • Solve challenges with probabilistic software, ensuring defensive error handling, streaming data optimization, caching, and explainability.

  • Implement logging, tracing mechanisms, and tools to facilitate debugging, diagnostics, and performance tracking.

  • Engage in light DevOps tasks, leveraging infrastructure best practices to deploy and monitor AI-driven systems.

Requirements

  • 10+ years of enterprise engineering experience

  • Adaptable and Innovative Mindset: Fearless about learning new technologies and excited to work in a fast-paced, ambiguous environment. Possess a problem-first approach with a careful and principled methodology for building resilient systems.

  • Expertise in shaping experiences with LLMs and agents.

  • Proficient with evaluation of ML model performance.

  • Strong Programming and Distributed Systems Development Skills: Proficient in Python, Java, or other languages. Experience building full-stack applications with expertise in either backend, frontend, or both. Ability to handle error cases, write asynchronous code, and work effectively with streaming data. Professional experience in developing, scaling, and maintaining applications at a production scale.

  • Experience with Modern Software Development Practices: Familiar with DevOps principles, infrastructure best practices, and cloud-based deployments. Knowledgeable about queues, message buses, and event-driven architectures. Customers see, understand, and act on data.  

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.

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 $172,500 - $260,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Skills Required

  • 10+ years of enterprise engineering experience
  • Expertise in shaping experiences with LLMs and agents
  • Proficient with evaluation of ML model performance
  • Proficient in Python, Java, or other programming languages
  • Experience building full-stack applications (backend, frontend, or both)
  • Experience writing asynchronous code and working with streaming data
  • Experience developing, scaling, and maintaining production-scale applications
  • Familiarity with DevOps principles, infrastructure best practices, and cloud-based deployments
  • Knowledge of queues, message buses, and event-driven architectures
  • Ability to design for throughput, latency, parallel and stream processing, caching, and defensive error handling

Salesforce Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.

  • Fair & Transparent Compensation Pay is positioned as above-market in the U.S., with multiple peer-reported benchmarks converging around a similar median total compensation figure. Compensation is also framed as broadly viewed as fair in aggregate, even while acknowledging variation by role and group.
  • Parental & Family Support Parental leave is described as notably generous for U.S. caregivers, with additional supports like gradual return-to-work and doula reimbursement. Family-building programs are also emphasized through fertility/adoption/surrogacy support with sizeable reimbursement limits.
  • Wellbeing & Lifestyle Benefits Mental-health and coaching offerings are highlighted as accessible supports alongside financial-wellbeing tools. Volunteer Time Off and donation matching are presented as distinctive lifestyle-aligned benefits that add value beyond cash compensation.

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The Company
HQ: San Francisco, CA
72,000 Employees

What We Do

Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our groundbreaking suite of customizable agents and tools, Salesforce brings autonomous AI agents, unified data from any source, and best-in-class Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. Salesforce is democratizing AI agents for businesses of every size and industry so every company can embrace a workforce without limits. Our low code, open, and secure platform helps companies build and customize Salesforce fast so they can safely scale AI-powered work to every customer and employee experience and transform their business. Salesforce is proud to be the market leader, but we’re even more proud to lead in philanthropy, innovation and culture. Guided by core values of trust, customer success, innovation, equality, and sustainability, Salesforce is more than a business — we’re a platform for change.

Why Work With Us

There’s no typical day in the life of a Salesforce employee. You could be transforming our next AI innovation — or transforming your community. Closing deals — or closing your laptop for a day of Volunteer Time Off. Driving change for our customers — or driving change within one of our high-performing teams.

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