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Job Category
Software Engineering
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.
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.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
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Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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. It also applies 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. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. 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 range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.