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. As a Deployment Strategist, you will be a strategic builder and customer-facing advisor who defines AI strategy, shapes agentic solutions, and drives measurable adoption for enterprise customers. Working alongside Forward Deployed Engineers, you will translate complex business challenges into agentic AI deployments that generate real value. Engagements are focused and time-bound, typically lasting 12 weeks or less, and may involve single or multiple customers simultaneously. Your impact goes beyond deployment to ensuring customers realize lasting, scalable value from the solutions your team builds.

Key responsibilities include leading full lifecycle customer engagement from identification through deployment and consumption, defining AI strategy and architecture, managing delivery timelines and stakeholder communication, driving adoption and expansion metrics, coordinating delivery teams, developing AI-supported customer solutions, managing customer relationships with senior stakeholders, assessing AI readiness, and providing actionable product feedback to influence Salesforce's Agentic AI platform roadmap.

At Salesforce, you will join a team passionate about bettering business and the world through AI, driving innovation, and upholding core values. This role offers the opportunity to work at the forefront of workforce transformation in the agentic era and contribute to the future of AI-powered customer success.

Experience
- 4+ years in strategic solutioning, technical advisory, delivery leadership, or programme management for enterprise cloud or SaaS technology
- Prior customer-facing delivery experience in consulting, professional services, or technical advisory
- 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
- Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
- Strong project and programme management skills, managing multiple workstreams 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 fast-moving, unstructured environments
- Excellent communication skills with the ability to build trust-based relationships with senior stakeholders and present business value clearly
- Collaborative team player who can coordinate delivery teams and align strategy with technical execution

Qualifications
- Degree in Computer Science or a related field
- Working knowledge of one or more programming languages such as 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 other platforms
- Experience designing and deploying AI solutions in regulated industries such as public sector, financial services, or healthcare
- Background in change management, organisational design, or enterprise transformation
- Knowledge of AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks