Technical Product Manager - Agentforce Service Cloud

Salesforce
Dublin
Workplace: OnsiteFull timeFunction: Product ManagementSkills: ["Communication","Analytical skills","Customer-centric problem solving","Adaptability","Bias for action"]

Own end-to-end delivery of Agentforce Service Cloud deployments for lighthouse customers, translating field learnings into product improvements. Partner closely with Customer Engineering to make architecture and agent logic decisions, resolve blockers via core code fixes, and design agentic systems (topics/actions, tool calls, multi-agent orchestration, MCP integrations). Manage data lifecycle for each deployment and contribute observability and reusable skills to the Agentforce roadmap, while mentoring engineers within your pod.

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FursaFursa
Salesforce
Salesforce
1 day ago

Technical Product Manager - Agentforce Service Cloud

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Own end-to-end delivery of Agentforce Service Cloud deployments for lighthouse customers, translating field learnings into product improvements. Partner closely with Customer Engineering to make architecture and agent logic decisions, resolve blockers via core code fixes, and design agentic systems (topics/actions, tool calls, multi-agent orchestration, MCP integrations). Manage data lifecycle for each deployment and contribute observability and reusable skills to the Agentforce roadmap, while mentoring engineers within your pod.
Location: Dublin
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management

Key Responsibilities

  • •Embed with lighthouse customers across Agentforce Service use cases and help them go live in production.
  • •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 deployments (knowledge readiness, data modeling, pipeline design, and AI readiness) and feed field learnings back to the product roadmap.
Travel: Medium travel

Key Requirements

  • •8+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS.
  • •Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
  • •Hands-on production experience with AI technologies including ML, NLP, and LLMs (prompt engineering, grounding, RAG, agent orchestration).
  • •Extensive, deep understanding of the Salesforce platform and ecosystem (Agentforce, Apex, LWC, Flows, APIs).
  • •Customer-centric problem solving with strong analytical skills, comfort with ambiguity, and clear written and verbal communication.
Experience:Enterprise AICloudSaaSData integrationAI/ML
Skills:CommunicationAnalytical skillsCustomer-centric problem solvingAdaptabilityBias for action
Certifications:Platform Developer I/IIAgentforce SpecialistSystem ArchitectData Cloud
Tech Stack:PythonJavaScript/TypeScriptJavaApexAIMLNLPLLMsPrompt engineeringGroundingRAGAgent orchestrationAgentforceSalesforceLWCFlowsAPIsMCPSnowflakeDatabricks

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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