Billy Goat Group

Systems Engineer

• Own and evolve the organization’s identity and access management (IAM) posture using Okta, including SSO integrations (SAML/OIDC), MFA policy design, user lifecycle management, group and rules strategy, and audit-ready access controls.
• Design and maintain least-privilege access models aligned with security and compliance requirements.
• Administer and scale Apple device management using Jamf, including enrollment workflows, configuration profiles, application deployment strategies, security baselines, compliance reporting, and incident response support.
• Ensure endpoint posture meets organizational security and operational standards.
• Serve as the technical owner for core productivity and collaboration platforms such as Google Workspace and Slack.
• Deliver secure configurations, reliable user lifecycle processes, role-based administration, and overall operational stability.
• Build and maintain automation to eliminate manual work across IT systems (e.g., provisioning, offboarding, access reviews, device posture reporting), primarily using Bash and/or Python.
• Apply strong software engineering practices, including testing, version control, documentation, and code review.
• Develop and maintain integrations and workflows using APIs (Okta, Jamf, Google Workspace, Slack, and related SaaS tools), including secure token management, robust error handling, and observability.
• Administrate AWS Infrastructure, including but not limited to Lambda, DynamoDB, Route53
• Implement Infrastructure as Code (IaC) practices where applicable (e.g., Terraform) to standardize configurations, reduce drift, and improve repeatability.
• Contribute to CI/CD pipelines (GitHub Actions or equivalent) to enable safe, auditable, and repeatable system changes.
• Lead technical troubleshooting for complex, cross-system issues spanning identity, endpoint management, and SaaS platforms.
• Perform root cause analysis and drive permanent remediation.
• Define, document, and enforce engineering standards for IT systems operations, including change management, runbooks, access controls, naming conventions, and configuration baselines.
• Partner closely with Security, HR, and Engineering to deliver secure-by-default onboarding, offboarding, role changes, and privileged access workflows with clear ownership and SLAs.
• Mentor and upskill less experienced team members through code reviews, pairing, technical guidance, and knowledge sharing, raising the overall quality and consistency of IT engineering deliverables.

Senior IT Systems Engineer

Human Resources

• Own and manage the HR tech support function, including intake, triage, resolution, and escalation of tickets
• Build AI-assisted workflows where applicable — flagging, classification, notifications, and intelligent routing across People processes
• Own technical documentation, integration specs, data flow diagrams, etc.
• Serve as a technical resource and escalation point for HR tech issues across the People team
• Support ad hoc data pulls, system troubleshooting, and cross-functional HR tech requests
• Use operational exposure as a continuous feedback loop to surface new automation opportunities
• Translate complex technical constraints and tradeoffs into clear recommendations for the Director and People team leadership
• Collaborate with COEs e.g. People Operations, IT, Finance, Payroll, and Talent Acquisition to ensure system triggers, data handoffs, and approval workflows are reliable and production-grade
• Stay current on the HR technology landscape — new ADP capabilities, iPaaS evolution, and AI tooling relevant to the People function

Senior Manager, HR Systems

Machine Learning Engineer

• Act as a technical lead within the data team to advance our recommendation & search algorithms. You will focus on improving the relevance & quality of inventory impressions that are served to prospective buyers.
• Develop proprietary AI/ML solutions that reflect our unique marketplace dynamics (peer-to-peer exchange of second hand clothing & accessories that are represented as “one-of-one” listings in the market.)
• Form a high-level perspective on objectives across departments in the organization and how advanced data methods might solve complex business problems.
• Be able to autonomously and proactively identify business problems that could benefit from data solutions, whether it be application of existing models or the need for the development of new model(s), and take ideas through all phases, from proposal to alignment to execution
• Establish best practices for training, development and maintenance of data models. This includes using A/B testing and communicating results to stakeholders.
• Own the deployment of trained models into production in collaboration with Data or ML Engineers. You will be responsible for ensuring reliable, observable deployment into Snowflake using DBT, integrating with existing data pipelines and platform infrastructure, and maintaining version control of code and configurations via Git.
• Mine user data to identify opportunities for personalization improvements. This includes defining and tracking KPIs related to personalization effectiveness.
• Develop and maintain data models in Snowflake to support analytical and reporting needs, providing insights to business stakeholders across various departments.
• Use Python to create ML models and structure the resulting data into a consumable flow.
• Develop user-to-user mapping capabilities to enhance personalization.
• Utilize search technologies (i.e. Algolia, AWS OpenSearch) to enhance product discovery and personalization.
• Analyze message content to detect potentially fraudulent activities, such as identifying keywords or phrases associated with scams, requests for off-platform transactions, or attempts to phish for personal information.
• Collaborate with product managers, engineers, designers, and business stakeholders to understand their data needs and provide data-driven solutions.

Senior IT Systems Engineer

Senior Manager, HR Systems

Senior Machine Learning Engineer