Lead Quality Release Engineer

Salesforce•Denver, CO

About The Position

Salesforce is seeking a Release Manager for Regrello who will be the linchpin between development and operations. This role is critical for coordinating changes, maintaining stability, and ensuring that every feature rollout—from weekly hotfixes to major quarterly releases—goes off without a hitch. The ideal candidate will be customer-obsessed with experience delivering enterprise products, passion for solving big problems with creative solutions, and commitment to speed and quality. This role is vital in building out and managing a store of processes that can be used by customers and drive both usage growth as well as tangible business value. The global supply chain is plagued by manual, slow, and fragmented processes and data that force companies to rely heavily on email, spreadsheets and manual labor to manage complex, ever-shifting operational workflows. Agentforce for Supply Chain is reimagining the supply chain by empowering companies to collaborate and automate complex business processes on a single platform. The company is also leveraging AI in its development workflow, pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. They design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Candidates will 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.

Requirements

5+ years of experience in Release Management, DevOps, or Software Engineering within enterprise B2B SaaS environments.
Hands-on experience with Hyperforce and Falcon deployment architectures.
In-depth knowledge of the Salesforce platform, including its capabilities, limitations, and best practices.
Proven experience with CI/CD tools, version control (e.g., Git), and automated deployment workflows.
Ability to manage complex release cycles, coordinate with multiple teams, and meet tight deadlines under pressure.
Excellent spoken and written communication skills with the ability to present technical release status to both technical and non-technical audiences.
Rigor and consistency in managing release backlogs and executing delivery with a focus on quality and risk mitigation.

Nice To Haves

Familiarity with the Salesforce platform ecosystem (e.g., APIs, platform services).
Salesforce Administrator or Platform App Builder certifications.
Specialized certifications in Salesforce DevOps or CI/CD fundamentals.
Experience in technical project management leading broad initiatives beyond standard release cycles.
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.

Responsibilities

Ability to push back on releases that are not meeting quality standards and communicate clearly why.
Own the execution and coordination of weekly hotfixes, serving as the primary lead for "pressing the button" to deploy critical updates and bug fixes.
Own the end-to-end schedule and logistics for major feature releases, ensuring all stakeholders are aligned and business-critical systems remain stable.
Manage and monitor deployments specifically within Hyperforce and Falcon environments, ensuring high standards for reliability and performance.
Manage multiple environments (development, testing, staging, and production) and ensure they stay in sync across the entire release pipeline.
Maintain version control systems to track changes, manage code merges, and resolve conflicts among development teams to maintain codebase integrity.
Enforce governance policies to ensure all deployments comply with organizational standards and identify opportunities for CI/CD process improvements.
Provide regular status updates to stakeholders, prepare comprehensive release notes, and ensure all deployment documentation is accurate and up to date.
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.