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Deployment Strategist

Job in Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listing for: Leadout Capital
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    IT Consultant, IT Project Manager, AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 210000 CHF Yearly CHF 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

About the Role

Customer impact from day one. Strategic clarity and Execution that sticks.

Salesforce is hiring Deployment Strategists — Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound — typically 12 weeks or less — and may span a single strategic account or multiple customers simultaneously.

Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.

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 work streams, manage stakeholder expectations, and keep delivery on track in ambiguous environments

  • Ability to travel 25% of the time to customer sites

Pr…
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