MuleSoft JapanのDeployment Strategist (Multiple Levels)求人

About the Role
Customer impact from day one. Strategic clarity and Execution that sticks.
Salesforce is hiring Deployment Strategists — Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers.
You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value.
Engagements are focused and time-bound — typically 12 weeks or less — and may span a single strategic account or multiple customers simultaneously.
Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.

Key Responsibilities
Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle — Identify → Commit → Deploy → Consume — owning outcomes at every stage, not just discovery or deal closure.
AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.
Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.
Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization.
Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including Cursor, Claude, and our coding products like Vibes, to accelerate development.
Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.
AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents.
Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.

Required Qualifications
4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology.
You have a degree in Computer Science or a related field.
Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have.
Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud.
Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex.
Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes.
Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices.
Strong project and programme management skills — ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments.
Ability to travel 25% of the time to customer sites.
Fluency in Japanese (written and verbal).

Preferred Experience
Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing).
Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare).
Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms.
Background in change management, organisational design, or enterprise transformation.
Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks.
A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments.