This position is at Salesforce

The selection process will be entirely managed by Salesforce.

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To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place Agentforce is the future of AI, and you are the future of Salesforce. Intro We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.

About the Role

We are seeking a Strategic Builder - a senior technical advisor and lifecycle owner who leads customers through the full Agentforce value journey, from initial use case identification through to active consumption and expansion.



Strategic Builders operate by embedding with customers to define AI strategy, architect agentic solutions, and drive measurable business outcomes. As a trusted partner, you will bridge customer’s strategic ambition with Salesforce's AI and data capabilities, orchestrating pod delivery and ensuring deployments translate into sustained, scalable value. You will also serve as a critical product feedback loop, bringing field insights directly back to the Salesforce Engineering and Product teams.

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. Architect end-to-end solutions spanning Agentforce, Data Cloud, and enterprise systems. Lead design workshops, agent design sessions, and jobs-to-be-done analysis and responsible AI governance. Define end-to-end AI and platform solution strategies aligned to customer outcomes
- Deployment Oversight: Drive deployment strategy and oversee pod execution end-to-end. Set guardrails, governance frameworks, and quality standards across the full engagement lifecycle
- Adoption & Consumption: Own adoption, consumption,



and expansion metrics post-deployment. Proactively identify blockers to consumption and develop strategies to drive measurable value realization
- Pod Leadership: Orchestrate the Builder pod, partnering closely with Technical Builders to align strategy and execution. Define scope, entry/exit criteria, and success metrics for each engagement
- AI-Powered Development: You'll be developing real customer solutions with the best-in-class suite of leading-edge AI tools: Including Cursor, Claude, and our coding products like Vibes, to accelerate development.
- Executive Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with C-suite executives and key stakeholders. Present strategic proposals and outcomes that demonstrate measurable impact
- Organisational 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 Agentforce platform roadmap

Required Qualifications

- Bachelors Degree in Computer Science or related.
- 6+ years experience in strategic solutioning, technical advisory, or delivery leadership for enterprise cloud technology
- Demonstrated understanding of the Salesforce platform and ecosystem, including Agentforce and Data Cloud
- Proficiency in one or more programming languages: Python, JavaScript, Java, or Apex
- Proven ability to lead and own complex, ambiguous engagements end-to-end — from disc

📌 Forward Deployed Engineer (Barcelona)
🏢 Salesforce
📍 Barcelona