AI Specialist, G&A

UFORCE is a defence-technology company founded in Ukraine and headquartered in London, with operations across Europe, the United States and Asia. It builds uncrewed vessels, ground robotics and aircraft, autonomy software, and the command-and-control layer that operates them. The AI Specialist helps Finance, People, Legal, and other internal teams spend less time on repetitive work such as checking numbers across systems, chasing approvals, and rebuilding reports. Starting with Finance, the role identifies the highest-value problems technology can solve and builds practical tools, including shared data views, automated approvals, dashboards, and AI-enabled workflows. It is a hands-on role combining business judgment with the ability to turn ambiguous problems into useful solutions.

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; 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 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

Requirements

Hands-on AI building: personally uses AI deeply and has built useful tools, agents, automations, analyses, or workflows; Business and financial judgment: understands 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: comfortable inspecting data, connecting information across systems, reconciling conflicting definitions, and turning data into useful analysis or reporting; Problem discovery and process redesign: identifies the underlying problem, challenges overly broad requests when needed, removes unnecessary steps, and redesigns how work gets done; Prioritization and practical judgment: focuses on the highest-value opportunities, ships something useful, learns from real usage, and knows when to stop or deprioritize work; Adoption and cross-functional influence: can get people who do not report to them to change how they work and make a tool or workflow part of everyday operations; Responsible technology judgment: handles sensitive company, financial, employee, and legal information carefully, understands that AI output can be wrong, and knows when human review, access controls, security support, or engineering involvement are required; Evidence of impact: can describe a solution, workflow, analysis, or process they personally shipped and explain the measurable difference it made

Nice to have

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; 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