Lead Software Engineer

100 Salesforce, Inc.; Bellevue (WA); On-site; USD 172,500 - 260,100; Full time

Benefits offered by this job

Time‑off programs

Medical insurance

Dental insurance

Vision insurance

Mental health support

Parental leave

Life and disability insurance

401(k)

Employee stock-purchasing program

Job summary

Salesforce seeks an AI Software Engineer to advance analytics agents within Tableau. You will build scalable data-intensive systems, shape user experiences with generative AI, and ensure robust performance across enterprise workloads.

Ideal candidates have 10+ years of enterprise engineering experience, expertise in LLMs, and strong Python/Java skills. Expect full-stack responsibilities, streaming data handling, and modern DevOps practices in a fast-paced environment.

Qualifications

• 10+ years of enterprise engineering experience.
• Proven ability to design resilient, scalable AI-enabled systems.
• Strong Python/Java skills and experience in end-to-end product development.

Responsibilities

• Collaborate with product managers, engineers, and researchers to build AI products and prototypes.
• Iterate on ideas to achieve product-market fit for analytics agents.
• Shape user experiences with generative AI capabilities and context engineering.
• Design scalable agentic systems emphasizing throughput, latency, and I/O.
• Evaluate performance against real customer use cases and ensure robustness.
• Implement logging, tracing, and debugging tools; apply DevOps best practices.

Skills

LLMs & agents

Python

Java

Full-stack

Distributed systems

DevOps

Cloud deployments

Streaming data

Education

Job description

AI Software Engineer – Analytics Agent

Salesforce is seeking a passionate and highly skilled AI/SW Engineer to join our team in Tableau building the #1 AI‑powered analytics agents for helping customers see, understand, and act on data. The role focuses on building scalable, data‑intensive systems for analytics, shaping user experiences with generative AI, and ensuring robust performance.

Responsibilities

• Collaborate with product managers, engineers, and researchers to build next‑generation generative AI products and prototypes that deliver customer success.
• Propose and rapidly iterate on ideas and experiments, achieving 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, considering throughput, latency, parallel processing, stream processing, and asynchronous I/O.
• Evaluate performance and quality of agentic solutions against customer use cases.
• Address challenges with probabilistic software, defensive error handling, streaming data optimization, caching, and explainability.
• Implement logging, tracing mechanisms, and tools for 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 comfortable in fast‑paced, ambiguous environments.
• Problem‑first approach with a principled methodology for building resilient systems.
• Expertise in shaping experiences with LLMs and agents.
• Proficiency in evaluating ML model performance.
• Strong programming skills in Python, Java, or other languages.
• Full‑stack application experience, with expertise in backend, frontend, or both.
• Experience handling error cases, writing asynchronous code, and working effectively with streaming data.
• Professional experience developing, scaling, and maintaining production‑scale applications.
• Familiarity with DevOps principles, infrastructure best practices, cloud‑based deployments, queues, message buses, and event‑driven architectures.

Accommodations

If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Salesforce uses artificial intelligence tools to help recruiters assess candidates, but humans will ultimately make hiring decisions.

Equal Opportunity Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We are committed to a workplace that is inclusive and free from discrimination based on race, religion, color, national origin, sex, sexual orientation, gender identity, disability, veteran status, or any other protected classification under law.

Benefits and Compensation

Key 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. The typical base salary range for this position is $172,500 – $260,100 annually (base salary only). Additional compensation may include bonus, equity, and benefits. More details about company benefits can be found at https://www.salesforcebenefits.com.