Deployment Strategist - Public Sector, Nonprofit & Education

Key Responsibilities: Full Lifecycle Ownership: Lead end‐to‐end customer engagement across the complete value lifecycle – Identify, Commit, Deploy, Consume – owning outcomes at every stage. AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap; lead design workshops and architect solutions spanning Salesforce's Agentic AI platform, Data Cloud, and enterprise systems. Deployment Oversight & Program Management: Manage engagement delivery end‐to‐end timelines, stakeholder communication, risk escalation, and progress reporting. Adoption & Consumption: Own adoption, consumption, and expansion metrics, identify blockers early, and develop strategies to drive measurable value realization. Delivery Team Coordination: Partner closely with Forward Deployed Engineers to align strategy with technical execution and keep the team focused and on track to hit delivery milestones. AI‐Supported Development: Build real customer solutions using leading‐edge AI tools such as Cursor, Claude, and coding products like Vibes. Customer Stakeholder Management: Serve as the primary customer‐facing contact with Government, Nonprofit, and/or Education customers; build trust‐based relationships and present proposals in terms of business value. AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation. Product Feedback Loop: Synthesize field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.

Required Qualifications: Degree in Computer Science or a related field.4+ years of experience in strategic solutioning, technical advisory, or 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) – a requirement. 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. Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices. Strong project and program management skills – ability to run multiple work‐streams and manage stakeholder expectations. 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 (e.g., public sector, financial services, healthcare).Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar certifications such as Microsoft or Oracle. Background in change management, organizational design, or enterprise transformation. Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks. A get‐things‐done mindset with strong bias for action and comfort operating in unstructured, fast‐moving environments.

Compensation: The typical base salary range for this position is $134,750 – $287,910 annually. In California, New York, and select cities in Boston, Chicago, Seattle, and Washington DC, the base pay range is $148,190 – $316,750 per year. The range represents base salary only and does not include bonus, equity, or benefits.