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Token Metrics Jobs in Texas (NOW HIRING)

Track, analyze, and optimize AI consumption metrics including token utilization, inference costs, GPU usage, model hosting expenses, vector database consumption, embeddings, and AI agent execution ...

Token Throughput Monitoring: Analyze the "tokens per second" (TPS) metrics and identify when model-switching (e.g., from a large model to a smaller one) is necessary to maintain performance. * Cost ...

QA Engineer (Performance)- Dallas, TX

Dallas, TX · On-site

$138K/yr

Token Throughput Monitoring: Analyze the "tokens per second" (TPS) metrics and identify when model-switching (e.g., from a large model to a smaller one) is necessary to maintain performance. * Cost ...

Staff MaaS Backend Engineer

Austin, TX · On-site +1

$180K - $260K/yr

Treat regressions in cost-per-million-tokens or latency metrics as critical system incidents ... Token Metering and Billing Cor * rectness: Build an idempotent, exactly-once metering system to ...

... token optimization, and MCP server concepts. This individual should be able to design modern data ... modeling, metric standardization, data governance, reporting architecture, and BI platform ...

... token optimization, and MCP server concepts.This individual should be able to design modern data ... modeling, metric standardization, data governance,reporting architecture, and BI platform ...

... token optimization, and MCP server concepts.This individual should be able to design modern data ... modeling, metric standardization, data governance,reporting architecture, and BI platform ...

Apply best practices for prompt engineering, context management, model selection, token ... Define best practices for data modeling, metric standardization, data governance, reporting ...

Strong understanding of AI economics, including token-based pricing, inference costs, cloud consumption, API pricing, model licensing, and AI usage metrics. * Experience designing and implementing ...

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Experience with Token Services, SAML, OAuth 2.0, PKCE and OIDC * Experience with Authentication ... metrics. * Experience with financial services or brokerage industry (Preferred)

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Experience with Token Services, SAML, OAuth 2.0, PKCE and OIDC * Experience with Authentication ... metrics. * Experience with financial services or brokerage industry (Preferred) Education:

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Showing results 1-20

Token Metrics information

What is a token metrics?

A Token Metrics job typically involves analyzing cryptocurrency markets, evaluating blockchain projects, and providing data-driven insights to support investment decisions. Roles may include data analysis, machine learning, research, or portfolio management. Employees work with AI-driven models and market trends to help clients make informed investment choices in the crypto space. Positions can range from technical to financial, depending on the company's focus.

What does a token metrics analyst do?

A professional in Token Metrics analysis typically spends their days gathering and analyzing data on various blockchain projects, evaluating key performance indicators such as token utility, circulation, and on-chain activity. Responsibilities often include building financial models, monitoring market trends, preparing detailed reports, and presenting findings to investment teams or clients. Collaboration with other analysts, developers, and portfolio managers is common to provide comprehensive evaluations and support strategic decision-making. Staying updated with industry developments and adapting to rapidly evolving technologies is also a key part of the role.

What are the key skills and qualifications needed to thrive in token metrics?

To excel in a Token Metrics Analyst role, a strong background in data analysis, blockchain technology, and financial modeling is essential, generally supported by a degree in finance, computer science, or a related field. Proficiency with data visualization tools, blockchain explorers, and programming languages such as Python or SQL is often required, and relevant certifications in blockchain or data analytics can be advantageous. Exceptional analytical thinking, problem-solving abilities, and effective communication skills help individuals interpret complex data and present actionable insights to colleagues and stakeholders. These competencies are crucial for making informed investment decisions, evaluating crypto assets, and contributing to the overall success of a cryptocurrency research team.

Infographic showing various Token Metrics job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior AI Financial Operations Analyst

Irving, TX

Vizient
Health Care and Social Assistance • 501 - 1,000 employees

$81K - $101K/yr

Full-time

Re-posted 5 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will lead the financial governance, operational visibility, and consumption optimization of Vizient's enterprise AI platforms and generative AI services. You will serve as a key partner in establishing AI FinOps capabilities that enable responsible, scalable, and cost-effective adoption of artificial intelligence technologies across the organization.

Reporting to technology leadership, you will drive AI financial management practices across cloud AI services, agentic platforms, token-based consumption models, GPU infrastructure, and AI developer tooling. This role requires a blend of financial acumen, technical understanding, and strategic partnership, with the ability to translate complex AI consumption patterns into actionable insights that optimize cost, improve operational efficiency, and maximize business value.

Responsibilities

  • Lead AI financial operations across enterprise AI platforms, monitoring and managing cloud-based AI spend across services such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI, and other emerging AI technologies.
  • Track, analyze, and optimize AI consumption metrics including token utilization, inference costs, GPU usage, model hosting expenses, vector database consumption, embeddings, and AI agent execution patterns.
  • Develop forecasting models and financial planning processes to support AI platform growth, capacity management, and long-term investment strategies.
  • Establish and maintain AI showback and chargeback methodologies that provide transparency into AI consumption and business value realization.
  • Define and implement governance standards, financial guardrails, and operational controls to ensure responsible and cost-effective AI adoption across the enterprise.
  • Partner closely with Security, Risk, Legal, Architecture, Cloud Infrastructure, Data & Analytics, and AI Engineering teams to align AI governance practices with organizational policies and strategic objectives.
  • Provide visibility into enterprise AI tooling adoption, including developer productivity tools, generative AI platforms, and AI orchestration solutions, while identifying and mitigating unsanctioned or shadow AI usage.
  • Collaborate with engineering teams to optimize AI workloads through improvements in prompt efficiency, token utilization, model selection strategies, inference routing, caching approaches, batching techniques, and GPU resource allocation.
  • Evaluate hosted and self-managed AI infrastructure options, providing cost optimization recommendations and economic analysis for AI architectures and agent-based frameworks.
  • Develop executive dashboards, reporting, and analytics that communicate AI consumption trends, financial performance, operational efficiency, and return on investment.
  • Establish AI unit economics and performance metrics, tracking costs and value realization across use cases, workflows, business capabilities, and enterprise initiatives.
  • Present financial insights, optimization opportunities, and strategic recommendations to executive leadership and key stakeholders.
  • Support enterprise AI investment planning, governance programs, and the development of scalable AI operating models and financial management capabilities.
  • Champion continuous improvement by leveraging data-driven insights to enhance AI financial governance, reporting processes, and operational effectiveness.

Qualifications

  • Bachelor's degree in Finance, Accounting, Information Technology, Computer Science, Data Analytics, Business, or a related field preferred.
  • Minimum of 5 or more years of experience in Cloud FinOps, AI Infrastructure, Cloud Operations, Data Platforms, Technology Finance, or a related discipline.
  • Experience working with public cloud AI services, generative AI platforms, and cloud-based consumption models.
  • Strong understanding of AI pricing and consumption structures, including token-based, inference-based, and GPU-based cost models.
  • Experience analyzing cloud financial data, operational telemetry, utilization trends, and technology spending patterns.
  • Demonstrated ability to build forecasting models, perform financial analysis, and develop executive-level reporting and dashboards.
  • Strong analytical and problem-solving skills with the ability to identify optimization opportunities and quantify business impact.
  • Experience collaborating with engineering, architecture, infrastructure, and business stakeholders to drive technology optimization initiatives.
  • Excellent communication and presentation skills with the ability to translate complex technical and financial concepts for executive audiences.
  • Experience with Azure OpenAI, OpenAI Enterprise, AWS Bedrock, Google Vertex AI, Azure AI Foundry, or similar AI platforms preferred.
  • Experience utilizing Cloudability, Azure Cost Management, Datadog, Power BI, or comparable analytics and financial management tools preferred.
  • Familiarity with AI agent architectures, orchestration frameworks, and emerging AI operational technologies preferred.
  • FinOps Foundation certification, cloud platform certifications, or related professional credentials preferred.
  • Experience managing GPU infrastructure or optimizing AI workloads for performance and cost efficiency preferred.
  • Understanding of AI governance frameworks, responsible AI practices, and enterprise risk management considerations preferred.
  • Strong knowledge of cloud economics, technology financial management, and AI operational best practices.
  • Ability to influence cross-functional teams and drive alignment across diverse stakeholder groups while balancing innovation, governance, and financial accountability.

#LIJB1

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.