Software Engineering LMTS

Salesforce•Bellevue, WA

2d•Onsite

About The Position

The Analytics Agent team at Tableau is building the next generation of AI-powered analytics — helping customers see, understand, and act on their data through groundbreaking agentic experiences. As a Lead Software Engineer on this team, you will work at the forefront of agentic application development, building multi-modal products and tools that transform how people engage with data. This role is based in Bellevue, WA and offers an opportunity to make a significant impact at the intersection of AI and enterprise analytics.

Requirements

Expertise shaping experiences with LLMs and agents, including proficiency in evaluating model performance and applying defensive error handling, streaming data optimization, caching, and explainability to probabilistic systems.
Strong programming skills in Python, Java, or similar languages, with experience building full-stack applications and developing, scaling, and maintaining production-grade distributed systems.
Experience with modern software development practices, including DevOps principles, cloud-based deployments, event-driven architectures, queues, and message buses.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
A related technical degree required.

Nice To Haves

Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
A demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.

Responsibilities

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate scalable, high-performance agentic systems — accounting for throughput, latency, parallel processing, stream processing, and asynchronous I/O — where AI agents integrate seamlessly into human workflows.
Collaborate with product managers, engineers, and researchers to rapidly iterate on generative AI products and prototypes, shaping user experiences through context engineering and LLM capabilities.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.