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Deployment Strategist - Portuguese Speaker

Salesforce
Lisbon, Portugal
Hybrid

About this role

Job title: Deployment Strategist - Portuguese Speaker

About the Role Deployment Strategist — Strategic Builders who are customer-facing advisors, 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 time-bound — typically 12 weeks or less — and may span a single strategic account or multiple customers simultaneously.

What You'll Do

  • Lead end-to-end customer engagements across the complete value lifecycle — Identify → Commit → Deploy → Consume — owning outcomes at every stage, not just discovery or deal closure.
  • 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.
  • 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.
  • Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization.
  • 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.
  • Develop real customer solutions supported by leading-edge AI tools: Including Cursor, Claude, and our coding products like Vibes, to accelerate development.
  • 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.
  • Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents.
  • Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.

What We're Looking For

  • 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.
  • Portuguese and English speaker.

Nice to Have

  • Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing) or similar platforms.
  • 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.

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