Director of Production Support Engineering

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. 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. Join an agile team with deep startup roots. We operate as a high-velocity 'startup-within-Salesforce,' following our recent acquisition. We have successfully navigated the "0 to 1" journey and are now scaling Agentforce for Supply Chain from 1 to 100. This involves moving beyond a single-stack startup architecture into a sophisticated, multi-environment global operation that serves the world's largest enterprises and government entities. This is a unique leadership opportunity to manage the production excellence of a high-growth AI product while balancing a complex technical landscape: from our modern Salesforce-native deployment to legacy environments and highly specialized custom deployments for global tier-one customers. What You’ll Do As the Director of Production Support Engineering, you will be the strategic leader and people manager for our embedded reliability organization. You will lead a high-caliber team of Lead and Principal Engineers (LMTS/PMTS) who are integrated directly into the product lifecycle. Your challenge is one of orchestration and strategy. You will be responsible for defining the roadmap that allows us to scale our commercial Salesforce offering into a multi-region, multi-substrate powerhouse. Simultaneously, you will oversee the stability of our legacy and custom enterprise environments, ensuring our most critical customers receive "five-nines" reliability. You will also be the lead architect for our future, charting the course for Private Cloud Edition (PCE) and Government Cloud offerings that require the highest levels of security and sovereignty. Responsibilities Strategic Roadmap & Vision: Devise and champion a long-term infrastructure strategy that balances rapid AI product innovation with the rigorous demands of enterprise-grade reliability and global scale. People Leadership: Manage and grow a world-class team of Production Support Engineers. You will be responsible for technical mentorship, career development, and maintaining a high-performance, low-ego culture. Multi-Substrate Scaling: Lead the transition to a multi-region and multi-substrate deployment model within the Salesforce commercial cloud, ensuring our "Super Agent" architecture is resilient across global geographies. Legacy & Custom Operations: Oversee the maintenance and support of our legacy environments and bespoke customer deployments, ensuring a seamless experience for long-term partners as they transition toward our modern stack. Compliance & Sovereignty Strategy: Act as the primary stakeholder for our Private Cloud (PCE) and Government Cloud initiatives, ensuring our infrastructure meets strict regulatory and data-residency requirements without sacrificing developer velocity. Operational Excellence: Define and hold the team accountable to SLIs, SLOs, and error budgets. You will lead the "incident-to-insight" loop, ensuring production issues result in structural improvements to the product. Stakeholder Management: Collaborate with Product, Engineering, and Security leadership to align infrastructure investments with the broader business goals of the Agentforce ecosystem. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance. Required Qualifications 10+ years of experience in Production Engineering, SRE, or Infrastructure roles, with at least 3-5 years in a formal people management capacity. Deep Technical Roots: You must remain highly technical. You are comfortable reviewing architecture designs for Kubernetes, Terraform, and distributed databases (PostgreSQL), and you understand the operational nuances of AI/GPU workloads. Experience at Scale: A proven track record of managing production environments through a "1 to 100" scaling phase, ideally in a multi-region or multi-cloud context. Strategic Clarity: Demonstrated ability to articulate a complex technical vision and turn it into an actionable roadmap that stakeholders can rally behind. Enterprise Savvy: Experience supporting "Big Iron" enterprise customers with custom deployment needs and high-compliance requirements. High-Stakes Leadership: Proven ability to lead through major incidents and complex architectural migrations with a calm, decisive approach. AI-Forward Mindset: Experience leveraging AI tools to optimize team workflows and a clear vision for how AI will transform the future of production support. A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty. Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows. Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. Preferred Qualifications Experience with Government/Sovereign Clouds: Direct experience navigating FedRAMP, IL5/IL6, or similar high-security compliance frameworks. Salesforce Infrastructure Knowledge: Familiarity with Hyperforce, Salesforce Data Cloud, or the internal mechanics of a "Private Cloud Edition." Hybrid Infrastructure: Experience managing the bridge between public cloud (AWS/GCP/Azure) and specialized enterprise environments. Advanced Degree: M.S. in Computer Science or a related technical field. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. It means that at Salesforce, we believe in equality for all. We believe we can lead the path to equality by creating a workplace that is inclusive and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey, and to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The typical base salary range for this position is $197,300 - $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr salesforce.com, inc.