Description
We're seeking a Deployment Strategist to join our team as a customer-facing advisor. You will define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers.
Key Responsibilities:
- Lead end-to-end customer engagement across the complete value lifecycle, owning outcomes at every stage.
- Define the customer's Agentic AI strategy and roadmap, and architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems.
- Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting.
- Own adoption, consumption, and expansion metrics within your engagement scope.
- Partner closely with Forward Deployed Engineers to align strategy with technical execution.
- Develop real customer solutions supported by leading-edge AI tools, including Cursor, Claude, and coding products like Vibes.
- Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders.
- Assess customer readiness for AI adoption and guide change management and process transformation.
- Synthesise field insights and translate them into actionable product feedback.
Required Qualifications:
- 4+ years of experience in strategic solutioning, technical advisory, or delivery leadership.
- Degree in Computer Science or a related field.
- Prior customer-facing delivery experience.
- Demonstrated understanding of the Salesforce platform and ecosystem.
- Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex.
- Proven ability to lead and own complex engagements end-to-end.
- Experience leading AI/LLM solution design.
- Strong project and programme management skills.
- Ability to travel 25% of the time to customer sites.
Preferred Experience:
- Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM.
- Experience designing and deploying AI solutions in regulated industries.
- Salesforce platform certifications.
- Background in change management, organisational design, or enterprise transformation.
- Experience with AI/ML concepts beyond LLMs.