About the role
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Who we are
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
About the role
SoFi is scaling how employees and AI agents safely reach the tools they need to do their jobs. We run a centralized MCP (Model Context Protocol) gateway that lets approved AI clients (Claude, Cursor, Windsurf, internal agents) connect to enterprise systems such as Slack, Google Workspace, Jira/Confluence, GitLab, Datadog, Snowflake, Glean, and ServiceNow, with SSO/OAuth brokering, policy enforcement, and full auditability.
As our Sr. Staff AI Enablement Engineer, you'll own the strategy and day-to-day operation of this platform and the customer-facing interfaces employees use to get AI tool access. You'll turn a security-approved control plane into a fast, self-service path to AI productivity across the company. You'll partner closely with Product Security, IAM, Engineering, and business leaders.
What you'll do
- Own the MCP gateway platform end to end. This covers the catalog and registry of approved MCP servers, onboarding of new connectors, OAuth scope configuration, tool-level enablement and disablement, and lifecycle and hygiene.
- Design the customer experience for AI tool access. Build intake, request, and provisioning flows (Compass/ServiceNow, Slack, Okta), documentation, and self-service paths that cut time-to-access from weeks to hours.
- Partner with Product Security and IAM on MCP approval, threat modeling, least-privilege scopes, and incident response. Turn security requirements into operational guardrails that don't block adoption.
- Run operations for the platform. This includes L1/L2 support models, runbooks, SLAs, monitoring and observability of tool usage, and vendor management (e.g., Cequence and SaaS connector vendors).
- Drive adoption and measure impact. Define and report adoption, usage, and value metrics by function to IT and SLG leadership, and identify the next high-leverage integrations.