Senior Engineering Manager - Salesforce Management Plane
Salesforce · California - San Francisco · Washington - Seattle · Washington - Bellevue
hybridfull-time6-10 years
posted 1d
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 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. Job Location: Bellevue, WA / Seattle, WA / San Francisco, CA The Experience We're seeking a dynamic engineering leader to own Salesforce Management Plane (SFMP), a framework built on safe-change principles that lets internal service owners onboard and execute pre-defined Day 2 production operations through REST APIs (Representational State Transfer application programming interfaces), with the guardrails, approvals, and auditability that safe production change requires, eliminating the need for standing production access. SFMP is central to Salesforce's move toward least-privilege, zero-touch production and a significant reduction in emergency production access across the fleet. You'll combine deep expertise in production operations, security, and compliance with people-first leadership to deliver mission-critical tooling that service owners across Salesforce depend on to operate safely and compliantly at scale. What You'll Actually Be Doing Partner with Product to drive the SFMP roadmap, including auto-discovery of service instances, operation-level access control, a central invocation engine, safe-change compliance, and multi-target execution Lead, mentor, and grow a distributed team of eight engineers, cultivating a culture of security-first ownership and operational excellence Champion observability, incident response, and compliance rigor, tracking key metrics for adoption, reduction in production-access requests, and system reliability Champion AI-driven development practices and agentic workflows, helping every engineer multiply velocity through hybrid human-AI development Develop each engineer's ability to work effectively in an AI-augmented environment, moving beyond tracking output to actively coaching growth into higher-level system design and architecture work. Own how AI tools are integrated into the team's daily development cycle, including configuration, feedback loops, and the judgment calls about when human review is required to validate output. Serve as the guardian of architectural integrity, security best practices, and technical standards as AI increases code volume, coaching engineers to critically audit AI-generated code for logic flaws, vulnerabilities, and performance issues. You're Our Person If... You have 5+ years of engineering management experience in a fast-paced, high-growth environment You have a proven track record leading platform, infrastructure, or developer-tools teams with end-to-end ownership You have strong technical grounding in production operations, REST API platforms, and security and access control, including role-based access control (RBAC) and least-privilege principles You're an effective communicator across technical, product, and executive audiences You have active, hands-on proficiency with AI development tools; full utilization is the baseline expectation, along with deep technical expertise sufficient to evaluate architectural integrity and make informed decisions about AI-generated output. You have experience assessing candidates on their ability to formulate effective prompts, evaluate AI outputs, and orchestrate multi-agent workflows in addition to foundation