Agentforce Deployment Strategist

4 weeks ago


Singapore Salesforce, Inc.. Full time

We are seeking an Agentforce 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.

As a trusted advisor, you will be the primary front-facing contact for Agentforce deployments, bridging customer strategic needs with our product innovation to ensure long-term success and value realisation. You will play a critical role in defining and steering the Agentic AI strategy and roadmap for our customers, establishing guardrails, and ensuring responsible AI usage. You'll oversee complex deployments, fostering collaboration across various stakeholders, setting strategic goals, and proactively addressing challenges. You will also connect customer needs with product development, offering valuable field insights to influence enhancements and accelerate the product roadmap, ensuring the Agentforce platform remains at the forefront of AI solutions.

A successful Agentforce Deployment Strategist will deeply understand our customers' most complex business problems, facilitating workshops like agent design and jobs-to-be-done to craft innovative and impactful solutions that leverage our Agentforce platform and beyond. You will be instrumental in addressing organisational readiness for AI adoption, guiding customers through the necessary changes to maximise their investment.

Your Impact:
  • 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. Synthesise 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 optimisation for long-term reliability, scalability, and security, including the establishment and governance of agent behaviour 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 roadmapping 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.

  • Trusted Technical & Strategic Partner: Embed deeply with client teams to truly grasp their operational challenges and strategic goals. Act as a primary technical advisor, providing expert guidance and presenting results and proposals that drive measurable value and adoption.

  • Conversation Design & User Experience: Apply foundational Conversation Design skills to guide the creation of intuitive, effective, and user-centric conversational AI experiences.

  • Organisational Readiness & Change Management: Assess customer organisational readiness for AI adoption and guide them through necessary process transformations and reengineering to maximise 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.

Required Qualifications:
  • 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.

  • Understanding of the Salesforce platform and ecosystem.

  • 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, analytical, and solution-oriented approach.

  • Demonstrated entrepreneurial spirit, a "get-things-done" attitude, and a relentless focus on fast delivery and measurable customer impact.

  • Excellent collaboration and communication skills (written and verbal), with the ability to explain complex strategic and technical concepts to non-technical stakeholders and C-suite executives, and translate business needs into strategic requirements.

  • Proven experience managing executive customer relationships in a strategic advisory or consulting role.

  • Demonstrated AI consulting abilities from experience in conversation design, responsible AI practices, and prompt engineering.

  • Ability to travel 25-50% of the time, as needed to customer sites.

Preferred Qualifications:
  • Experience with Salesforce Data Cloud and/or Agentforce platform.

  • Experience developing conversational AI solutions within regulated industries or highly sensitive environments (e.g., healthcare, finance).

  • Salesforce platform certifications (e.g., Administrator, Data Cloud Consultant, Agentforce Specialist).

  • Knowledgeable across Salesforce CRM (Service, Sales, and Marketing Clouds).

  • Experience with AI/ML concepts beyond LLMs, such as natural language processing.

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