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, not just discovery or deal closure
AI Strategy & Architecture: Define the customer's 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, with responsible AI governance baked in from the start.
Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.
Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization
Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including
Cursor, Claude, and our coding products like Vibes, to accelerate development.
Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.
AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents.
Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.
Required Qualifications:
4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology.
You have a degree in Computer Science or a related field.
Prior customer-facing delivery experience (consulting, professional services, or technical advisory) – this is a requirement, not a nice-to-have.
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 through 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, manage stakeholder expectations, and keep delivery on track in ambiguous environments.
Ability to travel 25% of the time to customer sites.
High level of proficiency in Hebrew and English.






















