Director, Technical Architects - Data and AI

Salesforce
Brazil - Sao PauloPosted 27 March 2026

Job Description

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. Director, Technical Architects - Data and AI Department Description The Data & AI Expert team is an innovative group of technical architects at the heart of Salesforce's newest innovations — Data360 and Agentforce. They don't just work with today's technology — they help customers architect for the future. This is a startup within a massive organization, focused on next-generation Data AI CRM Analytics at Salesforce. This team sits at the center of our GTM strategy, connecting the dots between Data & AI Products, Product Marketing, Enablement, Customer Success & Support, and the Partner Ecosystem. But their impact doesn't stop at the sale — this team operates across the full customer lifecycle, ensuring customers don't just buy Data360 and Agentforce, but genuinely succeed with it. Your Impact As a leader, your primary impact is building elite Data & AI Technical Architects and enabling them to operate at scale — across the full customer journey, from initial discovery through to realized value. Build and lead a best-in-class team of Data and AI Technical Architects, recognized for deep expertise across data architecture, AI, Salesforce, and enterprise integration patterns. Recruit and mentor senior-level architects with versatile communication styles. Our goal is to build a team capable of translating technical architecture into business value, whether they are whiteboarding with engineers or securing buy-in from CDOs and CIOs. Establish clear technical standards, architectural principles, and operating rhythms that ensure consistent, high-quality execution across the territory. Partner with Sales Leadership to define coverage and engagement models that align technical architect capacity to the highest-impact accounts and opportunities. Serve as a technical executive sponsor for strategic customers — guiding enterprise data and AI strategy, influencing architectural decisions, and earning long-term trust that extends well beyond the close. Champion customer outcomes across the full lifecycle — partnering with Customer Success, Support, and Professional Services to ensure technical wins translate into measurable business value. The greatest impact is realized when technical leadership remains a constant partner from the initial sale through to final delivery. Design and scale repeatable technical evaluation motions — architectural workshops, POVs, POCs, and reference designs — that accelerate time-to-value for Data and AI initiatives. Drive strong alignment with Product and Engineering to stay ahead of the Data & AI roadmap and represent field-driven architectural requirements. Work closely with the Partner Ecosystem to develop offerings, use cases, and GTM strategies that extend Salesforce's Data360 reach. Develop scalable, reusable technical enablement assets that uplift the architectural maturity of Solution Engineers, sellers, partners, and customers. Own Salesforce's point-of-view on enterprise data and AI architecture, aligned to industry-specific needs and grounded in proven, repeatable patterns. Bring a futurist mindset — anticipating where data, AI, and CRM technology is heading and helping customers, ... (truncated, view full listing at source)
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