Location
Central London
Hours
Full Time
Salary
Negotiable
About the Role
Salesforce is the #1 AI CRM where humans and agents drive customer success together. We are seeking Deployment Strategists — Strategic Builders who serve as customer-facing advisors, defining AI strategy, shaping agentic solutions, and driving measurable adoption for enterprise customers in the Public Sector, Nonprofit, and Education sectors. You will work alongside Forward Deployed Engineers to translate complex business challenges into agentic AI deployments that deliver real value. Engagements are focused and time-bound, typically lasting 12 weeks or less, and may involve single or multiple strategic accounts. Your role ensures customers realize lasting, scalable value from the solutions your team builds.
Key responsibilities include leading end-to-end customer engagement across the full value lifecycle — Identify, Commit, Deploy, Consume — owning outcomes at every stage. You will define customers’ Agentic AI strategy and roadmap, lead design workshops and agent design sessions, and architect solutions spanning Salesforce’s agentic AI platform, Data Cloud, and enterprise systems with responsible AI governance. You will manage delivery timelines, stakeholder communication, risk escalation, and progress reporting, acting as the operational backbone of your delivery team. Driving adoption, consumption, and expansion metrics within your engagement scope is critical, as is partnering closely with Forward Deployed Engineers to align strategy with technical execution.
You will develop real customer solutions supported by leading-edge AI tools such as Cursor, Claude, and coding products like Vibes to accelerate development. As the primary customer-facing contact, you will build trust-based relationships with senior stakeholders, presenting proposals and outcomes in terms of business value. You will assess customer readiness for AI adoption and guide change management and process transformation to maximize benefits. Additionally, you will synthesize field insights into actionable product feedback influencing Salesforce’s Agentic AI platform roadmap.
Join Salesforce to unleash your potential with benefits and resources that support balance and excellence. Together, we will bring the power of Agentforce to organizations of all sizes and deliver amazing customer experiences. Apply today to shape the future of AI and redefine what’s possible.
Experience
- 4+ years in strategic solutioning, technical advisory, delivery leadership, or program management for enterprise cloud or SaaS technology
- Proven experience managing and delivering customer-facing projects within Public Sector, Higher Education, or Nonprofit environments
- Prior customer-facing delivery experience in consulting, professional services, or technical advisory is required
- 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 measurable outcomes
- Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
- Strong project and program management skills with ability to manage multiple work-streams and stakeholder expectations
- Ability to travel up to 25% to customer sites
About you
- A get-things-done mindset with a strong bias for action, comfortable operating in unstructured, fast-moving environments
- Strong interpersonal skills to build trust-based relationships with senior stakeholders
- Passionate about driving innovation and delivering measurable value through AI solutions
Qualifications
- Degree in Computer Science or a related field
- Preferred experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing)
- Salesforce platform certifications such as Data Cloud Consultant, Agentforce Specialist, Application Architect or similar certifications (Microsoft, Oracle, etc.) are a plus
- Background in change management, organizational design, or enterprise transformation is advantageous
- Knowledge of AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks
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