Agentforce​/AI Deployment Strategist; Levels

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To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category:
Software Engineering. Applications will be accepted until 01/31/2026.

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level‑up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are seeking a Deployment Strategist, a pivotal leadership role focused on driving the successful adoption and strategic implementation of AI-powered Agentforce solutions for our key customers. This role is less about hands‑on technical execution and more about solutioning, strategic oversight, and executive relationship management.

• Strategic Solutioning & Design Leadership:
  Lead the analysis and strategic design of intelligent AI-powered agents within Salesforce environments, leveraging Agentforce, Data Cloud, Flow, and Salesforce APIs. Synthesize complex business challenges into clear, actionable solution architectures and strategic deployment plans, focusing on business impact rather than technical execution.
• Deployment Ownership & Program Management:
  Provide comprehensive oversight for the successful deployment of Agentforce solutions, ensuring seamless integration with existing customer infrastructure. Monitor project progress, identify potential roadblocks, and strategically guide the optimization for long‑term reliability, scalability, and security, including the establishment and governance of agent behavior guardrails.
• Executive Customer Relationship Management:
  Serve as the primary front-facing contact for Agentforce deployments, building and nurturing strong, trust-based relationships with C-suite executives and key customer stakeholders. Act as a strategic partner, deeply understanding their operational challenges and strategic goals, and presenting proposals that drive measurable value and adoption.
• AI Strategy & Responsible AI:
  Lead discussions around Agentic AI strategy and road mapping for customers. Drive the adoption of foundational Responsible AI principles, including risk mitigation, bias and toxicity testing, and the setup of robust guardrails to ensure ethical and safe AI usage.
• Facilitation & Workshop Leadership:
  Design and lead interactive facilitation and workshopping sessions, such as agent design workshops and jobs-to-be-done analysis, to collaboratively define optimal AI solutions and drive alignment across customer teams.
• Conversation Design & User
  
  Experience:
  
  Apply foundational Conversation Design skills to guide the creation of intuitive, effective, and user-centric conversational AI experiences.
• Organizational Readiness & Change Management:
  Assess customer organizational readiness for AI adoption and guide them through necessary process transformations and reengineering to maximize the benefits of intelligent agents.
• Product Evolution & Strategic Feedback:
  Serve as a vital feedback loop between customers and internal product/engineering teams. Field observations will directly influence future product enhancements, help shape the strategic direction of our platform, and contribute to broader scalable product improvements.

• 5+ years of experience in strategic solutioning and oversight of cloud-based technology deployments, with a proven track record of leading successful, impactful enterprise-level projects.
• Experience leading and overseeing deployments of AI/LLM technologies, including end-to-end engagement management.
• Exceptional ability to confront open-ended problems in unstructured, ambiguous environments, demonstrating a curious,…