Salesforce

2 weeks ago

Lead Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Build and evolve agentic, AI-powered analytics experiences on the Tableau platform—collaborating with product managers, engineers, and researchers to prototype and ship generative AI products. Design scalable, high-performance systems for LLM and agent workflows, optimizing throughput/latency with parallel and streaming approaches. Evaluate quality against customer use cases, implement robust logging/tracing and diagnostics, and support lightweight DevOps activities to deploy and monitor AI-driven services.

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Collaborate with product managers, engineers, and researchers to build next-generation generative AI products and prototypes.
•Rapidly iterate on ideas and experiments to reach product-market fit for analytics agents.
•Build user experiences using context engineering and generative AI capabilities.
•Design and implement scalable, performant agentic systems that account for throughput and latency.
•Evaluate agentic solution performance and quality against customer use cases, with robust error handling and diagnostics.

Pay and Benefits

Salary: USD 172,500 - 260,100 annually

Perks:Health InsuranceDentalVisionPaid Parental401kLife InsuranceDisability InsuranceEquity

Key Requirements

•10+ years of enterprise engineering experience.
•Expertise shaping experiences with LLMs and agents.
•Proficiency evaluating ML model performance.
•Strong programming and distributed systems skills, including Python or Java, building full-stack applications, handling async code, and working with streaming data.
•Familiarity with DevOps principles, infrastructure best practices, cloud deployments, and event-driven architectures (queues, message buses).

Experience:10+ yearsEnterprise engineeringAIGenerative AILLMsAgentic systemsAnalyticsDistributed systems

Skills:CollaborationProblem-first approachDefensive error handlingRapid iteration

Tech Stack:PythonJavaLLMsAgentsMLDevOpsCloudQueuesMessage busesEvent-driven architecturesLoggingTracingStreaming dataCachingParallel processingAsynchronous I/OStream processing

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

2 weeks ago

Lead Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Collaborate with product managers, engineers, and researchers to build next-generation generative AI products and prototypes.
•Rapidly iterate on ideas and experiments to reach product-market fit for analytics agents.
•Build user experiences using context engineering and generative AI capabilities.
•Design and implement scalable, performant agentic systems that account for throughput and latency.
•Evaluate agentic solution performance and quality against customer use cases, with robust error handling and diagnostics.

Pay and Benefits

Salary: USD 172,500 - 260,100 annually

Perks:Health InsuranceDentalVisionPaid Parental401kLife InsuranceDisability InsuranceEquity

Key Requirements

•10+ years of enterprise engineering experience.
•Expertise shaping experiences with LLMs and agents.
•Proficiency evaluating ML model performance.
•Strong programming and distributed systems skills, including Python or Java, building full-stack applications, handling async code, and working with streaming data.
•Familiarity with DevOps principles, infrastructure best practices, cloud deployments, and event-driven architectures (queues, message buses).

Experience:10+ yearsEnterprise engineeringAIGenerative AILLMsAgentic systemsAnalyticsDistributed systems

Skills:CollaborationProblem-first approachDefensive error handlingRapid iteration

Tech Stack:PythonJavaLLMsAgentsMLDevOpsCloudQueuesMessage busesEvent-driven architecturesLoggingTracingStreaming dataCachingParallel processingAsynchronous I/OStream processing

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor