Lead Forward Deployed Engineer - Spanish Speaker

Salesforce
Barcelona
Workplace: HybridFull timeFunction: Administration & Executive AssistanceExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Mentoring","Problem-solving","Entrepreneurial mindset","Judgment"]

Own end-to-end build and deployment of agentic AI solutions inside enterprise customer environments, from architecture decisions through production handoff. Serve as the senior technical authority, mentor engineers via code reviews and pair sessions, and translate complex customer challenges into shippable Agentforce systems. Influence roadmaps by capturing field edge cases, improve reliability with data lifecycle ownership, and track deployment health through performance dashboards and KPI reporting.

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FursaFursa
Salesforce
Salesforce
1 day ago

Lead Forward Deployed Engineer - Spanish Speaker

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Own end-to-end build and deployment of agentic AI solutions inside enterprise customer environments, from architecture decisions through production handoff. Serve as the senior technical authority, mentor engineers via code reviews and pair sessions, and translate complex customer challenges into shippable Agentforce systems. Influence roadmaps by capturing field edge cases, improve reliability with data lifecycle ownership, and track deployment health through performance dashboards and KPI reporting.
Location: Barcelona
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end build and deployment of agentic AI solutions for strategic Salesforce customers, from architecture decisions through production handoff.
  • •Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, and enterprise integration patterns.
  • •Own the data lifecycle for AI applications, including model design, processing pipelines, and data readiness across Salesforce and customer platforms.
  • •Resolve advanced technical blockers (data integration, model deployment, orchestration, and performance regressions) and track deployment health via dashboards and KPI reporting.
  • •Mentor engineers through code reviews and pair sessions, and surface field insights directly to Product and Engineering.
Travel: Medium travel

Key Requirements

  • •6+ years of software engineering or technical delivery experience with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
  • •A degree in Computer Science or a related field.
  • •Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and working knowledge of the others.
  • •Integrated LLMs into production using frameworks like LangChain or LlamaIndex, with prompt engineering and responsible AI practices.
  • •Deep experience in data modeling, processing, and analytics across platforms such as Salesforce Data 360, Snowflake, or Databricks.
Experience:6+ yearsEnterprise AICloudSaaSAILLMs
Education:Bachelor's in Computer Science (or related field)
Skills:CommunicationMentoringProblem-solvingEntrepreneurial mindsetJudgment
Languages:SpanishEnglishCatalan
Tech Stack:AgentforcePythonJavaScriptTypeScriptJavaApexLangChainLlamaIndexSalesforce Data 360SnowflakeDatabricksCursorClaudeVibesLLMsPrompt engineeringResponsible AIData modelingData processingMulti-agent orchestration

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
WebsiteLinkedInGlassdoor