Location
Central London

Hours
Full Time

Salary
Negotiable

About the Role
Salesforce is the #1 AI CRM, where ambition meets action and innovation is a way of life. We are seeking Deployment Strategists who are 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 AI deployments that generate 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.

As a Deployment Strategist, you will lead end-to-end customer engagement across the full value lifecycle — from identification through deployment and consumption — owning outcomes at every stage. You will define AI strategy and architecture, lead design workshops, 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.

Your responsibilities also include driving adoption and consumption metrics, identifying blockers early, and developing strategies to maximize value realization. You will serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and presenting proposals and outcomes in terms of business value. Additionally, you will assess customer AI readiness and guide change management and process transformation to maximize benefits. You will contribute product feedback to influence Salesforce's Agentic AI platform roadmap and develop real customer solutions supported by leading-edge AI tools such as Cursor, Claude, and Vibes.

Join Salesforce to unleash your potential, supported by benefits and resources that help you find balance and accelerate your impact. Together, we will bring the power of Agentforce to organizations of all sizes and deliver exceptional customer experiences.

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 (consulting, professional services, or technical advisory) is required
- Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud
- 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 strong bias for action, comfortable operating in unstructured, fast-moving environments
- Strong interpersonal skills to build trust-based relationships with senior stakeholders
- Ability to synthesize field insights into actionable product feedback
- Comfortable working closely with technical teams to align strategy and execution

Qualifications
- Degree in Computer Science or related field
- Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex
- Preferred: Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing)
- Preferred: Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar certifications from Microsoft, Oracle, or others
- Preferred: Experience designing and deploying AI solutions in regulated industries such as public sector, financial services, or healthcare
- Preferred: Background in change management, organizational design, or enterprise transformation
- Preferred: Knowledge of AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks