Own administration of our core SaaS systems including Rippling, Google Workspace, Salesforce, Maxio, Jira, and related tooling
Serve as the company-wide point of contact for internal tool questions, escalations, and requests
Evaluate, procure, implement, and retire internal tools based on evolving business needs and operational scale
Manage vendor relationships, contracts, and renewals in partnership with Finance and Legal
Design and maintain the data architecture connecting our internal systems — data models, pipelines, warehousing, and integrations between SaaS tools and our analytics environment
Build and maintain ETL/ELT workflows via APIs, iPaaS tools, and native connectors so data flows reliably between systems of record
Establish scalable data governance practices around ownership, quality, definitions, and access
Partner with Data & Analytics teams to ensure operational and AI-related workflows are supported by reliable, well-modeled data
Administer and support the company’s AI tooling ecosystem, including licensing, access management, usage policies, and employee enablement
Partner cross-functionally to operationalize AI workflows and ensure employees can effectively leverage approved tools
Lay the foundation — SSO, identity, shared context, data access — that lets AI initiatives move from experiments to systematic implementation
Partner with Product, Engineering, and Operations leaders as they build AI into their workflows
Evaluate and pilot emerging AI capabilities and help drive responsible adoption across the organization
Own the internal-systems side of Coursedog’s SOC 2 compliance program, including access controls, provisioning and deprovisioning, access reviews, MFA enforcement, audit logging, and evidence collection
Implement and maintain identity and access management (SSO, SCIM, least-privilege, RBAC) across the tool stack
Manage endpoint security and MDM for company devices
Partner with Security and Legal on policy creation and implementation, risk assessments, and vendor security reviews (including AI tools)
Build and launch a centralized internal knowledge base and FAQ program, including documentation for core business systems, common support requests, onboarding/offboarding procedures, and AI tooling guidance. Establish ownership, maintenance processes, and self-service workflows that reduce repetitive support requests.
Complete a comprehensive audit of all internal platforms, applications, user accounts, and access permissions. Deliver a documented inventory of systems, identify orphaned accounts and excessive privileges, and implement a repeatable access review process.
Increase identity and access management maturity across the organization by driving MFA adoption, expanding SSO coverage where technically feasible, documenting exceptions, and establishing standardized provisioning and deprovisioning workflows.
Partner with Operations stakeholders to assess Coursedog's readiness for SOC 2. Identify control gaps, document current-state processes, implement foundational workflows and evidence collection procedures, and deliver a prioritized roadmap toward successful audit readiness.
Establish baseline IT operational processes, including ticket triage, support documentation, access request workflows, and system ownership records, creating a sustainable foundation for future scale.
Leave the organization with clear documentation, repeatable processes, and measurable improvements in security posture, access governance, and employee self-service capabilities.
Requirements
5+ years in IT operations, business systems, data engineering, or systems engineering, with prior experience leading projects, mentoring teammates, and/or owning a domain end-to-end
Hands-on experience administering modern SaaS environments (Okta or similar IdP, Google Workspace or M365, Salesforce, an HRIS, a finance or ERP system, support and engineering tools).
Strong Jira administration experience and comfort supporting cross-functional operational workflows
Strong experience designing and maintaining data models, integrations, and pipelines, with fluent-level SQL skills and hands-on experience using modern cloud data warehouses and ETL/ELT tooling such as Snowflake, BigQuery, Redshift, dbt, Fivetran, or Airbyte
Practical, hands-on AI fluency — you've used Claude, ChatGPT, Copilot, Cursor, or similar tools to do meaningful work, helped others adopt them, and have a point of view on what works
Experience operating — not just observing — a security compliance program (SOC 2, ISO 27001, HIPAA, or similar)
Track record building integrations via APIs, iPaaS tools (Workato, Tray, Zapier at scale), or native connectors
Ability to translate ambiguous business needs into scalable technical solutions, communicate tradeoffs clearly, and build strong working relationships across technical and non-technical stakeholders
Bias toward documentation, automation, and self-service over becoming a bottleneck.
Experience standing up or scaling an AI tooling program (licensing, governance, internal enablement)
Nice to have
Experience managing direct reports
Nice to have
Familiarity with MCP, agentic workflows, retrieval-augmented systems, or similar AI integration patterns
Nice to have
Scripting experience (Python, JavaScript) for automation and AI workflows
Nice to have
Experience with MDM platforms (Rippling, Kandji, Jamf, Intune, etc.) and endpoint security tooling (SentinelOne)
Nice to have
Prior experience leading a SOC 2 Type II audit through to a clean report
Nice to have
Tech Stack
Amazon Redshift
BigQuery
Cloud
ERP
ETL
Jamf
JavaScript
Python
SQL
Benefits
This is a 4-month contract role with the intention to convert to a full-time position.
Candidates who join the team full time will be eligible for our competitive comprehensive benefits package, including medical, dental, and vision insurance, unlimited paid time off, and retirement savings options.