AI FinOps Specialist

About Payoneer

Founded in 2005 Payoneer is the global financial platform that removes friction from doing business across borders with a mission to connect the worlds underserved businesses to a rising global economy. Were a community with over 2500 colleagues all over the world working to serve customers and partners in over 190 countries and territories.

By taking the complexity out of the financial workflowsincluding everything from global payments and compliance to multi-currency and workforce management to providing working capital and business intelligencewe give businesses the tools they need to work efficiently worldwide and grow with confidence.

We are looking for anAI FinOps Specialistto join our FinOps team and take ownership of AI cost management across the organization.

AI adoption is accelerating LLMs coding assistants AI-powered platforms and API-based services are being consumed across engineering product and business teams. This role exists to bring financial governance visibility and optimization to that spend before it scales out of control.

You will inherit existing AI cost models and forecasting frameworks and take them further expanding coverage improving accuracy building automation and working directly with stakeholders to drive cost-aware AI adoption decisions.

This is not a reporting seat. You will own the AI cost domain end-to-end from data collection to executive-level insights to policy enforcement.

What Youll Do

• Build and own cost visibility across AI vendors and platforms (LLMs API services coding assistants AI-powered SaaS tools)

• Monitor and analyze AI spend by team use case and consumption model (token-based seat-based usage-based)

• Develop forecasting models for AI costs and usage trends across the organization

• Create dashboards alerts and reporting for AI cost tracking and anomaly detection

• Define and enforce AI cost governance policies approval workflows spend thresholds usage tiers

• Work closely with engineering product and data teams to understand AI usage patterns and influence cost-efficient decisions

• Evaluate and recommend AI cost management tools and platforms

• Benchmark pricing models across AI vendors and support contract negotiations with cost data

• Identify optimization opportunities model selection prompt efficiency license right-sizing consolidation of overlapping tools

• Collaborate with the broaderFinancialteamson budgeting forecasting and cross-functional reporting

Who You Are

• 2 years of experience in FinOps cloud cost management data analytics DevOps cost engineering ML/AI operations or a related analytical/technical role

• Strong analytical skills you can take messy usage data and turn it into clear insights and actionable recommendations

• Comfortable working with APIs billing data and usage logs

• Able to understand and challenge technical decisions from a cost perspective

• Strong communicator who can translate cost data into business language for non-technical stakeholders

• Ownership mindset you dont wait to be told what to do you identify gaps and close them

• Experience working cross-functionally with engineering finance or procurement teams

Advantage

• Familiarity with LLMs AI APIs and token-based pricing models (e.g. OpenAI Anthropic Google AI)

• Understanding of prompt optimization model routing and how technical choices impact AI cost at scale

• Experience with AI coding tools and their licensing/pricing structures (e.g. Cursor GitHub Copilot)

• Hands-on experience building dashboards automation or internal tools for cost management

• Background in cloud FinOps (AWS / GCP / Azure) understanding of how cloud and AI cost management intersect

• Experience with FinOps tools SaaS management platforms or procurement systems

• FinOps Foundation certification (FOCP or equivalent) or willingness to pursue one

#LI-AG2