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San Francisco, California, United States
Hybrid
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Job Category
Software EngineeringJob 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.
We are part of the Tableau organization, driven by a mission to help people see, understand, and act on data. Our goal is to empower users by transforming complex data into clear, visual insights that drive informed decision-making.Our team is shaping the next generation of analytics, delivering seamless, interactive visualization experiences embedded directly into user workflows and integrated with modern platforms to enhance engagement and collaboration. We strive to support effective decision-making and enable timely actions through intuitive and powerful analytics tools.
Beyond serving data professionals, we have a unique opportunity to innovate with Generative AI-powered intelligence experiences designed for business users. This enables organizations to extend the reach of data-driven insights to a significantly broader audience, making data more accessible and actionable than ever before.
We are seeking a Senior/Lead Software Engineer to play a pivotal role in shaping the Agentic and Visualization Experiences for the next-generation of Tableau(aka Tableau Next). In this role, you will drive the design and development of high-performance, scalable, and extensible platforms, enabling seamless and interactive analytical experiences.You will collaborate closely with UX designers, backend engineers, and product teams to create intuitive, insightful, and visually compelling analytics solutions.
If you're passionate about data visualization, graphics performance, and Agentic Analytics, this is an opportunity to make a significant impact on the future of analytics and data storytelling.
Responsibilities:
Architect and develop core visualization components and frameworks for the next-gen Tableau product, ensuring scalability, performance, and flexibility.
Optimize large-scale data rendering with Canvas, WebGLwhile enhancing interactivity through filtering, animations, and real-time updates for a smooth user experience.
Collaborate with UX designers to implement elegant and intuitive visual representations of complex data.
Work collaboratively to design efficient APIs and data-fetching strategies that optimize visualization performance and responsiveness.
Drive innovation by exploring and integrating emerging visualization technologies, frameworks, and methodologies.
Improve code quality and maintainability through best practices, including modularization, automated testing, and continuous integration.
Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
Identify and address performance bottlenecks, ensuring smooth rendering and interactions across different platforms and devices.
Qualifications:
6+ years of industry experience building enterprise-grade distributed systems at scale
Strong computer science foundation including data structures, algorithms, and design patterns, with a proven track record in software architecture and system design
Experience with object-oriented programming languages such as Java and JavaScript
Experience with database technologies including SQL, PL/SQL, relational schema design, and implementing web services and RESTful APIs
Expertise in modern web technologies and frameworks including Node.js, React, HTML5, CSS/SASS, JSON, HTTP, and Web Components standards (Shadow DOM, Custom Elements, etc.)
Proficiency in web technologies and real-time interaction patterns including streaming APIs, WebSockets, and event-driven architectures
Proficiency in engineering best practices including fault tolerance, concurrency, reusability, extensibility, API design, database modeling, maintainability, security, scalability, testability, and overall software quality
Experience integrating and orchestrating LLMs and AI services using APIs, SDKs, and agent frameworks such as OpenAI APIs, LangChain, MCP, RAG pipelines, tool calling, and vector databases
Familiarity with AI-assisted development workflows including code generation tools, automation agents, and developer productivity tooling
Experience working with structured and unstructured data systems including SQL/NoSQL databases, vector databases, semantic indexing, and knowledge retrieval systems
Architect, develop, and deploy enterprise-scale product features powered by LLMs, prioritizing an AI-first methodology that minimizes manual coding.
Collaborate closely with Product Management on transforming high-level business goals into machine-actionable specs that define non-goals, user journeys and technical constraints.
Prompt engineering at scale - Understands that prompts are code: versioned, tested, and monitored
Conduct technical design reviews, establish LLM coding patterns for the team, and mentor engineers on GenAI best practices
Experience building developer-facing AI tooling or internal AI platforms
Stay current on the rapidly evolving LLM ecosystem and bring relevant techniques, tools, and models to the team's attention
Bonus Qualifications:
Familiarity with data visualization tools like Tableau or similar BI platforms, and a basic understanding of VizQL concepts.
Strong understanding and hands-on experience with modern Data Lakes and Data Warehousing providers, such as Snowflake, Databricks, and Salesforce Data Cloud, among others.
Deep experience in JavaScript, especially in rendering frameworks (Canvas, WebGL, SVG).
Understanding of AI reliability and quality practices including prompt testing, model evaluation, hallucination mitigation, observability, guardrails, and human-in-the-loop workflows
Good understanding of AI application architecture including prompt engineering, context management, retrieval systems, embeddings, memory, evaluation, and latency optimization
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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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 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually.

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