• Architect and build lights-off automation pipelines that orchestrate the full risk assessment lifecycle—from intake and scoping through evidence collection, control testing, findings generation, and remediation tracking—using AI-driven agentic workflows and tools such as Claude Code. • Design and implement automated vendor risk lifecycle management, including onboarding questionnaires, periodic reassessment triggers, continuous monitoring integrations, and contract-driven offboarding workflows that require zero manual coordination for routine vendor tiers. • Build and maintain near-real-time risk posture dashboards and reporting pipelines that programmatically aggregate data from cloud infrastructure, security tooling, vulnerability scanners, and GRC platforms to give leadership continuous visibility into the organization’s evolving risk landscape. • Develop secure agentic AI pipelines that autonomously triage, classify, and route risk-related tasks—escalating to human reviewers only when decisions exceed defined confidence thresholds or policy boundaries. • Engineer integrations between GRC platforms, cloud and vendor provider APIs, CI/CD pipelines, and internal systems to enable continuous control monitoring and evidence collection that replaces periodic, manual audit preparation. • Eliminate procedural ambiguity by codifying risk management processes into self-service, event-driven workflows so that stakeholders across the enterprise never need to ask how to initiate or proceed through a risk or vendor process. • Apply security-first engineering practices to all automation, including secrets management, least-privilege access, audit logging, input validation, and guardrails on AI agent behavior to ensure automated pipelines operate within defined trust boundaries. • Serve as an internal force multiplier by introducing and evangelizing AI-assisted engineering practices, including prompt engineering, agentic tool use, and LLM-powered code generation, to uplevel the capabilities of the broader Risk and Compliance teams. • Perform other duties as assigned.

• Build and own the AI-powered systems that create leverage for the investment team and portfolio companies • Work with internal tooling for the investment team — outreach automation, cap table modeling, AI-driven memo generation • Gather requirements from founders and ship working systems independently • Maintain a defined backlog of automation opportunities across internal investment operations and portfolio company deployments

• Develop and define new software automation processes and standards based on business needs. • Function as a member of an agile development team to drive consistent automation and software development practices including tools, common components, and documentation. • Collaborate with application and product managers, software developers and other stakeholders to design appropriate automation across multiple software applications. • Responsible for business analysis of functional requirements of software applications under development for automation. • Identify and resolve workload automation and job scheduling issues. • Continually design and deploy job scheduling infrastructure. • Assist application developers with coding, testing and implementing various processes to support the workload automation. • Work with experienced team members to begin conducting independent and collaborative work on internal and external projects to determine best approach for automation using software tools and scripting languages. • Work with experienced team members to begin analyzing software requirements, procedures and problems to determine the need for further software automation or to improve existing applications and systems. • Support software automation standards, policies and procedures across the enterprise which includes development, quality assurance, unit testing and production environments. • Review audit and control processes, change management, process architecture, and other automation issues. Report results and work with team members to identify solutions where applicable. • Perform conversion and migration of new or existing process flows into a software automation solution. • Develops deep understanding of software or system tie-ins with other platforms within the supported environments. • Ability to effectively communicate across third parties, technical and business owners on solution design. • Support standards, policies & procedures for workload automation across the enterprise. • Develop and document Production Control processes and procedures. • Develop & define new protocols and standards based on business needs. • Enforce Production Control standards and policies

• Support development of Python‑based tools for document scanning, extraction, and processing • Assist in automating workflows using PowerShell and Microsoft 365 services • Work with SharePoint Online libraries, metadata, and document structures • Contribute to data migration activities from file shares to SharePoint Online • Help implement and test document classification and records management processes • Analyze file metadata and content to support categorization and compliance efforts • Collaborate with senior engineers on integrating AI services (e.g., Azure OpenAI) • Perform testing, validation, and troubleshooting of automation pipelines • Document scripts, processes, and technical configurations