SMTS/LMTS Full Stack Software Engineer, Tableau Next

Salesforce•San Francisco, CA

4d•Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. 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.

Requirements

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

Nice To Haves

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.

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, 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.
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.