uforce - AI Specialist, G&A
Requirements
• Hands-on AI building: You personally use AI deeply and have built useful tools, agents, automations, analyses, or workflows. You can show what you built, what failed, how you improved it, and whether people used it. • Business and financial judgment: You understand how companies, numbers, processes, approvals, and reporting work well enough to make sense of messy functional problems and determine which information should be trusted. • Data fluency: You are comfortable inspecting data, connecting information across systems, reconciling conflicting definitions, and turning data into useful analysis or reporting. You do not need to be a data engineer. • Problem discovery and process redesign: You do not wait for perfectly formed requirements. You identify the underlying problem, challenge an overly broad request when needed, remove unnecessary steps, and redesign how work gets done. • Prioritization and practical judgment: You focus on the opportunities with the greatest value, ship something useful, learn from real usage, and know when to stop or deprioritize work rather than perfecting a low-value solution. • Adoption and cross-functional influence: You can get people who do not report to you to change how they work and can make a tool or workflow part of everyday operations. • Responsible technology judgment: You handle sensitive company, financial, employee, and legal information carefully; understand that AI output can be wrong; and know when human review, access controls, security support, or engineering involvement are required. • Evidence of impact: You can describe a solution, workflow, analysis, or process you personally shipped and explain the measurable difference it made. • Background in Strategic Finance, FP&A, Finance Operations, Business Operations, Strategy & Operations, investment / VC, or another analytical business function. • Hands-on experience with AI tools, automation, low-code workflows, and/or Notion. • Comfort with data analysis, dashboards or BI, SQL, APIs, or scripting; depth in every area is not required. • Experience working in a fast-growing company where processes and systems were still being built. • Experience working with Finance, People, Legal, compliance, or other corporate functions. • Experience taking an AI-enabled tool or workflow from prototype to sustained adoption and measurable business impact. • The nature of combat has changed. • Tomorrow’s battlefield success depends on autonomy, speed, and adaptability. • And UFORCE is ready.
Responsibilities
• Build a trusted view of Finance actuals, cash burn, expenses, and budget performance by mapping priority systems, aligning definitions, identifying trusted sources, and reducing manual reconciliation. • Launch recurring cash-burn and expense reporting from Payhawk, then expand the shared data approach to actuals, budget-versus-actual tracking, and leadership reporting as additional systems become available. • Help Finance spend less time assembling reports and more time planning and making decisions through dashboards, analysis, and AI-assisted views. • Give People a reliable company-level view of headcount and hiring information, including workforce areas missing from central reporting. • Improve high-friction recurring People workflows such as recruiting operations, hiring analytics, onboarding, follow-ups, reminders, and compliance-related tasks where the evidence supports it. • Help Legal and Compliance move high-value repeatable checks, tracking, and follow-up into clear, auditable workflows, including embedding policy-compliance checks into the software approval process where appropriate. • Discover and prioritize opportunities across G&A by understanding how work actually happens, establishing a baseline, and selecting the problems with the greatest business impact. • Redesign processes around what technology can now do, build the simplest useful solution, put it in front of real users quickly, and improve, scale, or stop based on measurable results. • Partner with Director of Business Data & Intelligence on architectural direction for larger or cross-system solutions, and involve engineering, security, or human reviewers when the complexity, risk, or sensitivity requires it. • Drive adoption so useful solutions become part of normal operating workflows, with documented before-and-after impact such as reduced manual effort, faster turnaround, improved decision-making, or reduced software and vendor pressure.
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