Patient Capital Management is a high-integrity investment firm focused on disciplined, long-term decision making. We are seeking a technically strong, detail-oriented operator to improve how we use data, systems, and AI across the firm.
This is an execution-focused role. You will connect data sources, implement tools, build reports, and improve workflows so the team can operate more efficiently and make better-informed decisions. You will be trusted with critical systems and sensitive data and expected to move quickly without sacrificing accuracy.
Core Responsibilities
Lead Our AI Transformation
Integrate AI tools into investment research and operational workflows
Identify opportunities to automate and accelerate analysis without sacrificing rigor
Ensure AI tools are used effectively and responsibly across the firm
Connect and Operationalize Data
Integrate core financial data sources (Bloomberg, ICE, internal systems) into usable workflows
Build pipelines and tools that turn raw data into actionable insights
Develop custom reporting solutions within systems like APX
Upgrade Our Commercial Engine
Enhance and optimize Salesforce to improve speed and effectiveness of the sales process
Build tools and automations that reduce friction and increase conversion
Own Core Technology Infrastructure
Oversee desktops, systems, and vendors to ensure reliability and security
Maintain high-integrity access to sensitive financial data
Troubleshoot issues quickly and thoroughly
Be a Force Multiplier
Train team members on new tools and workflows
Continuously look for ways to improve efficiency and output
Operate with urgency while maintaining precision
Who You Are
Extremely high integrity—you can be trusted with sensitive data and critical systems
Fast and detail-oriented—you move quickly but get things right
A self-starter who thrives in a high-expectation environment
Comfortable learning new systems independently (APX, Salesforce, AI tools, etc.)
Technically capable across data, systems, and automation
Basic Qualifications
Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field
Familiarity with enterprise systems and IT infrastructure
Proficiency in Python and SQL for data integration, automation and reporting
Ability to work with APIs and integrate external data sources into AI and automation workflows
Strong problem-solving ability and comfort working across both modern and legacy systems
Preferred Qualifications
Experience working with financial data or investment systems
Exposure to AI tools, automation, or data pipelines
Experience with Salesforce or similar CRM systems
Experience with portfolio/accounting systems (e.g., APX)
Experience building or modifying reports using SQL-based or proprietary reporting tools
Ability to quickly learn and work within legacy systems and reporting languages
What We Offer
Meaningful responsibility from day one
Direct impact on the future of the firm
Exposure to both investment and operational leadership
Competitive compensation including long-term alignment
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