Deployment Strategist
Uses Cursor, Claude, and Vibes to accelerate AI-assisted development and agentic deployments.
About the Role
Salesforce is hiring a Deployment Strategist to serve as a customer-facing advisor who defines and drives agentic AI strategy, architects solutions on Salesforce's platform and Data Cloud, and leads time-bound deployments to ensure measurable adoption and value realization.
Job Description
Role
Salesforce is seeking Deployment Strategists to act as strategic builders and customer-facing advisors who define AI strategy, shape agentic AI solutions, and drive measurable adoption for enterprise customers. Engagements are focused and time-bound (typically 12 weeks or less) and involve close collaboration with Forward Deployed Engineers to translate business challenges into deployed, value-driving solutions.
Key Responsibilities
- Lead end-to-end customer engagement across the full value lifecycle (Identify → Commit → Deploy → Consume), owning outcomes at every stage.
- Define customer Agentic AI strategy and roadmap; lead design workshops, agent design sessions, and jobs-to-be-done analysis.
- Architect solutions spanning Salesforce’s agentic AI platform, Data Cloud, and enterprise systems, embedding responsible AI governance.
- Manage deployment delivery: timelines, stakeholder communication, risk escalation, and progress reporting.
- Drive adoption, consumption, and expansion metrics; identify blockers and develop strategies for value realization.
- Coordinate delivery teams and partner closely with Forward Deployed Engineers to align strategy with technical execution.
- Develop real customer solutions using AI-supported development tools (including Cursor, Claude, and coding products such as Vibes).
- Serve as the primary customer-facing contact; build trust-based relationships with senior stakeholders and present outcomes in business terms.
- Assess AI readiness and guide change management and process transformation.
- Synthesize field insights into actionable product feedback for Salesforce’s Agentic AI platform roadmap.
Requirements
- 4+ years of experience in strategic solutioning, technical advisory, delivery leadership, or programme management for enterprise cloud or SaaS technology.
- Degree in Computer Science or a related field.
- 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.
- 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 to measurable outcomes.
- Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices.
- Strong project and programme management skills; ability to run multiple workstreams and manage stakeholder expectations.
- Ability to travel up to 25% to customer sites.
Preferred Qualifications
- Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing).
- Experience designing and deploying AI solutions in regulated industries (public sector, financial services, healthcare).
- Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or equivalent.
- Background in change management, organisational design, or enterprise transformation.
- Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks.
- Strong bias for action and comfort operating in unstructured, fast-moving environments.
Notes
- Engagements are typically short-duration, delivery-focused, and outcome-oriented.
- Role is customer-facing and requires travel (~25%).