Manager, Automation Engineer

Sofi•Cottonwood Heights, UT

34d

About The Position

SoFi's Corporate Applications team builds the automation, AI-driven workflows, and SaaS platform capabilities that help employees work smarter, faster, and more securely. As we scale our automation ecosystem and modernize our enterprise application portfolio, we are seeking a Manager, Automation Engineering to lead and develop a growing technical team while remaining hands-on with high-impact automation and integration projects. In this role, you will guide a team of system engineers and platform administrators, drive roadmap execution, define automation and SaaS governance standards, and deliver intelligent workflows that support SoFi's operational growth. You will work across a diverse SaaS ecosystem-including ServiceNow, Atlassian, Okta, Google Workspace, Slack, Zoom, and cloud platforms such as GCP and AWS-to architect scalable automations and ensure our SaaS platforms are stable, secure, and optimized. This is a working manager role: you will actively contribute to complex engineering efforts while building a high-performing team, aligning work to organizational strategy, and partnering with leaders across IT, Security, GRC, Procurement, and other business units.

Requirements

7+ years of experience in automation engineering, SaaS platform operations, enterprise integrations, or related technical fields.
2+ years of experience leading or managing technical contributors in an engineering or platform operations environment.
Deep experience with automation and integration platforms such as Workato, Flow Designer, Zapier, or Moveworks.
Strong hands-on experience with ServiceNow, Atlassian, Okta, SaaS administration, and workflow automation.
Experience delivering LLM-powered workflows, chatbots, intelligent routing, and conversational automation.
Advanced proficiency with REST APIs, JSON, webhooks, and scripting languages (JavaScript, Python).
Familiarity with cloud platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).
Strong understanding of RBAC, identity lifecycle, least-privilege access models, and secure automation design.
Ability to lead multi-stream technical work, influence cross-functional decision-making, and communicate complex topics with clarity.
Ability to balance hands-on engineering with people leadership responsibilities in a working-manager role.

Nice To Haves

Experience with Agentic AI frameworks (LangChain, AutoGen, Workato Copilot).
Experience contributing to or building an Automation Center of Excellence.
Experience with CI/CD pipelines, version-controlled automation assets, or Infrastructure-as-Code.
Background in SaaS license management or data-driven optimization.
Experience modernizing SaaS admin processes and governance models.

Responsibilities

Manage and develop a team of six technical contributors, including Senior Automation Engineers, Automation Engineers, and Platform Administrators.
Provide mentorship, coaching, career development, and performance feedback to foster a high-performing, accountable engineering culture.
Own team staffing, onboarding, and skill progression as the automation and SaaS platforms evolve.
Lead team rituals including sprint planning, prioritization, standups, and retrospectives.
Oversee the design, development, and delivery of automation solutions across ServiceNow, Atlassian, Okta, Google Workspace, Slack, Zoom, GCP, AWS, and other enterprise SaaS platforms.
Remain hands-on for complex workflows, integrations, and AI-driven automations requiring senior-level architectural or engineering expertise.
Build AI-driven chatbots and intelligent task agents using platforms such as ChatGPT, Moveworks, and Now Assist.
Architect Agentic AI workflows that orchestrate LLM-based decision-making with enterprise systems and automation tools like Workato, Flow Designer, and Zapier.
Define technical standards for reusability, security, accessibility, RBAC enforcement, and configuration consistency across automation initiatives.
Establish and own governance frameworks for the ~15 SaaS platforms managed by the Corporate Applications team.
Ensure consistent RBAC, service account management, license optimization, and system configuration across platforms.
Lead stabilization efforts, configuration audits, and cleanup initiatives to reduce drift and improve reliability.
Improve and standardize the SaaS application onboarding experience, ensuring new apps enter the environment with scalable, secure configurations and predictable integrations.
Serve as the primary point of contact for automation and platform engineering needs across IT, Security, GRC, Legal, Procurement, and business stakeholders.
Partner with leadership to define the automation roadmap, influence investment decisions, and ensure platform strategy aligns with organizational goals.
Lead intake, prioritization, and communication processes for automation and SaaS workflow initiatives.
Represent the team in operational reviews, architecture discussions, governance meetings, and senior leadership updates.
Define and monitor KPIs for automation efficiency, platform stability, adoption, and ROI.
Ensure the team meets delivery expectations, documentation standards, and operational SLAs.
Implement and maintain system health monitoring, alerting, and automated governance routines.
Continually refine processes, tools, and frameworks to drive scalable, predictable delivery across the team.