SMTS/LMTS Full Stack Software Engineer, Tableau Next

Senior/Lead Software Engineer 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. We are seeking a Senior/Lead Software Engineer to shape 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 that enable 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. 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 and WebGL while 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, 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. 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. Benefits Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. Additional details are available at 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: 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. #J-18808-Ljbffr Salesforce