Deployment Strategist (Multiple Levels)

Salesforce
Tokyo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Bias for action","Stakeholder management","Project management","Change management","Leadership"]

Drive customer-facing deployments of agentic AI solutions end-to-end, from identifying needs and defining strategy to architecting workflows and ensuring measurable adoption. Lead design workshops, define an AI roadmap spanning Salesforce’s agentic AI platform and Data Cloud, and oversee delivery timelines, risks, and stakeholder communications. Partner with Forward Deployed Engineers to translate complex challenges into solutions that generate lasting, scalable business value.

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FursaFursa
Salesforce
Salesforce
3 hours ago

Deployment Strategist (Multiple Levels)

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

Job Summary

Drive customer-facing deployments of agentic AI solutions end-to-end, from identifying needs and defining strategy to architecting workflows and ensuring measurable adoption. Lead design workshops, define an AI roadmap spanning Salesforce’s agentic AI platform and Data Cloud, and oversee delivery timelines, risks, and stakeholder communications. Partner with Forward Deployed Engineers to translate complex challenges into solutions that generate lasting, scalable business value.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end customer engagement across the value lifecycle (Identify → Commit → Deploy → Consume) and own outcomes at every stage.
  • •Define customer Agentic AI strategy and roadmap, run design workshops/agent design sessions, and architect solutions across Salesforce’s agentic AI platform, Data Cloud, and enterprise systems with responsible AI governance.
  • •Oversee engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting.
  • •Own adoption, consumption, and expansion metrics; identify blockers early and drive measurable value realization.
  • •Coordinate with Forward Deployed Engineers to align strategy with technical execution and deliver milestones on track.
Travel: Medium travel

Key Requirements

  • •4+ years in strategic solutioning, technical advisory, or delivery leadership/programme management for enterprise cloud or SaaS technology.
  • •Degree in Computer Science or related field.
  • •Customer-facing delivery experience (consulting, professional services, or technical advisory).
  • •Demonstrated understanding of the Salesforce platform, including Agentic AI capabilities and Data Cloud.
  • •Working knowledge of programming languages: Python, JavaScript, Java, or Apex; plus experience leading AI/LLM solution design and responsible AI practices.
Experience:4+ yearsEnterprise SaaSCloudConsultingProfessional servicesAI/MLLLMResponsible AI
Education:Bachelor's in Computer Science
Skills:Bias for actionStakeholder managementProject managementChange managementLeadership
Certifications:Data Cloud ConsultantAgentforce SpecialistApplication ArchitectMicrosoftOracle
Languages:Japanese
Tech Stack:SalesforceAgentic AIAgentforceData CloudSalesforce CRMSalesServiceMarketingCursorClaudeVibesPythonJavaScriptJavaApexNLPRAG

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