Product Deployed Engineer

Salesforce
San Francisco
Workplace: HybridFull timeUSD 197,300 - 313,700 annuallyFunction: Communications, PR & CommunitySkills: ["Customer-centric problem solving","Bias for action","Communication","Cross-functional collaboration","Adaptability"]

Embed with lighthouse customers to deploy Agentforce Service capabilities end-to-end across Help Agent, Voice, NGA/Script, Service Rep Assistant, and Self Service. Own architecture decisions, agent logic, integrations, deployment, and production validation, resolving customer blockers by shipping fixes into the Agentforce codebase. Build agentic systems (topics/actions, tool calls, multi-agent orchestration, MCP patterns), manage the data lifecycle for knowledge readiness and AI readiness, and feed field learnings back into the product roadmap with high-velocity AI-tooled delivery.

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FursaFursa
Salesforce
Salesforce
3 hours ago

Product Deployed Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Embed with lighthouse customers to deploy Agentforce Service capabilities end-to-end across Help Agent, Voice, NGA/Script, Service Rep Assistant, and Self Service. Own architecture decisions, agent logic, integrations, deployment, and production validation, resolving customer blockers by shipping fixes into the Agentforce codebase. Build agentic systems (topics/actions, tool calls, multi-agent orchestration, MCP patterns), manage the data lifecycle for knowledge readiness and AI readiness, and feed field learnings back into the product roadmap with high-velocity AI-tooled delivery.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Embed with lighthouse customers across Agentforce Service use cases and help deliver production-ready deployments.
  • •Own end-to-end technical delivery including architecture decisions, agent logic, integration design, deployment, and production validation.
  • •Resolve customer blockers at the product level by shipping fixes into the Agentforce codebase rather than one-off workarounds.
  • •Design and build agentic systems on the Agentforce platform, including agent topics/actions, tool calls, multi-agent orchestration, and MCP/integration patterns.
  • •Own the data lifecycle for each deployment (knowledge readiness, data modeling, pipeline design, and AI readiness) and feed field learnings back into the product roadmap; mentor engineers in the pod.
Travel: Medium travel

Pay and Benefits

Salary: USD 197,300 - 313,700 annually
Perks:MedicalDentalVisionHealth InsurancePaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •8+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems for enterprise AI, cloud, or SaaS.
  • •Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and working knowledge across the others.
  • •Hands-on production experience with AI technologies including machine learning, NLP, and LLMs (prompt engineering, grounding, RAG, agent orchestration).
  • •Extensive understanding of the Salesforce platform and ecosystem, including Agentforce, Apex, LWC, Flows, and APIs.
  • •Ability to diagnose failures and ship fixes for both the customer solution and the core platform, with strong customer-centric problem solving.
Experience:Enterprise AICloudSaaS
Skills:Customer-centric problem solvingBias for actionCommunicationCross-functional collaborationAdaptability
Certifications:Platform Developer I/IIAgentforce SpecialistSystem ArchitectData Cloud
Tech Stack:PythonJavaScript/TypeScriptJavaApexSalesforceAgentforceService CloudLWCFlowsAPIsCursorClaudeRAGNLPLLMsMachine learningMulti-agent orchestrationMCPSnowflakeDatabricks

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
Glassdoor: 4.1
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