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The Infrastructure Engineering group (IE) at ZoomInfo is responsible for the innovation, scaling, and automation that powers our global platforms. Within this group, the Cloud Financial Governance function serves as the strategic architect of our technology investment.
We are seeking a FinOps Engineer to join the centralized FinOps team of our enterprise-scale, multi-cloud organization. In this role, you will play a crucial part in optimizing our core GCP and AWS spend, as well as our global suite of third-party tech stacks by driving financial accountability and implementing best practices. Getting hands-on with our infrastructure, you will identify, build, and automate cost-saving opportunities. You will work directly with engineering teams to optimize cloud architectures, implement robust tagging frameworks, and deploy the automated guardrails needed to keep our environments highly efficient
What You'll do:
- Drive cloud and AI cost optimization across GCP and AWS by identifying, quantifying, and implementing savings opportunities spanning compute, storage, networking, and data services. Track AI usage and costs across multiple providers such as Anthrophic, OpenAI, and others.
- Build and automate guardrails - including budget alerts, anomaly detection, and rightsizing recommendations to keep multi-cloud environments efficient by default.
- Design and enforce tagging and allocation frameworks that enable accurate cost attribution, showback/chargeback, budgeting & forecasting, and unit-economics reporting across teams and products.
- Manage commitment-based discounts (Committed Use Discounts, Savings Plans, Reserved Instances) by analyzing usage patterns and optimizing coverage and utilization.
- Partner directly with engineering teams to review and re-architect workloads for cost efficiency, embedding FinOps principles into design and deployment practices.
- Develop dashboards, reports, and forecasts that give stakeholders clear visibility into spend trends, drivers, and the ROI of optimization efforts.
- Govern third-party SaaS and tech-stack spend, partnering with engineering to evaluate, right-size, and consolidate vendor costs.
- Establish and evangelize FinOps best practices, standards, and self-service tooling that scale financial accountability across the organization.
What you bring:
- 3+ years of experience in cloud engineering, infrastructure, DevOps, or FinOps, with a strong focus on cost optimization and governance.
- Hands-on expertise with at least one major cloud provider (GCP or AWS); experience with both in a multi-cloud environment strongly preferred. Solid understanding of cloud architecture, services, and pricing models across compute, storage, networking, and managed services.
- Proven experience building and managing automated FinOps alerting: anomaly detection, budget and forecast thresholds, and alert routing and tuning
- Familiarity with tracking AI model usage and spend across multiple LLM providers, including token-based pricing, provider usage and billing APIs, and attribution of AI cost to teams or productsProficiency with cloud cost-management tooling (e.g., GCP Billing/BigQuery billing exports, AWS Cost Explorer/CUR, CloudHealth, or equivalent third-party platforms).
- Proficiency in SQL and at least one scripting language (Python preferred) for data analysis and automation
- Experience building dashboards and reports in Looker, Looker Studio, Tableau or similar tools
- Clear communication skills, and the ability to influence engineering and finance stakeholders without direct authority
- FinOps Certified Practitioner certification and/or relevant cloud certifications are a plus.
- Financial and engineering fluency - able to translate technical architecture decisions into financial impact, and financial goals into technical action.
- Analytical rigor - comfortable working with large datasets to surface insights, quantify opportunities, and prioritize by impact.
- Strong cross-functional collaboration - able to influence engineering, finance, and procurement stakeholders without direct authority.
- Bias for automation - instinctively builds repeatable, scalable solutions rather than one-off manual fixes.
- Clear communication - able to present complex cost data and recommendations to both technical and non-technical teams.
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About us:
ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Skills Required
- 3+ years of experience in cloud engineering, infrastructure, DevOps, or FinOps, focused on cost optimization and governance
- Hands-on expertise with at least one major cloud provider, including understanding of cloud architecture, services, and pricing models
- Experience with both GCP and AWS in a multi-cloud environment
- Experience building and managing automated FinOps alerting, anomaly detection, budget thresholds, forecast thresholds, and alert routing
- Familiarity with tracking AI model usage and spend across multiple LLM providers, including token pricing, billing APIs, and cost attribution
- Proficiency with cloud cost-management tools such as GCP Billing, BigQuery billing exports, AWS Cost Explorer, AWS CUR, CloudHealth, or equivalent
- Proficiency in SQL and at least one scripting language; Python preferred
- Experience building dashboards and reports in Looker, Looker Studio, Tableau, or similar tools
- Clear communication and ability to influence engineering, finance, and procurement stakeholders without direct authority
- Financial and engineering fluency, including translating architecture decisions into financial impact
- Analytical rigor with large datasets, opportunity quantification, and impact prioritization
- Strong cross-functional collaboration skills
- Bias toward automation and scalable, repeatable solutions
- FinOps Certified Practitioner and/or relevant cloud certifications
ZoomInfo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ZoomInfo and has not been reviewed or approved by ZoomInfo.
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Flexible Benefits — Feedback suggests a broad suite of options, including multiple medical plan choices, legal plans, and pet insurance. The breadth allows employees to tailor coverage to personal needs.
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Parental & Family Support — Family-forming assistance and parental leave are highlighted as notable inclusions. These offerings are positioned as standouts within the overall package.
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Strong & Reliable Incentives — Performance-based compensation and equity are described as meaningful earners for strong performers. Some roles report competitive total packages when targets are met.
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What We Do
ZoomInfo is the go-to-market (GTM) platform for businesses development and revenue growth. Powered by real-time data and insights, our unified engagement platform helps sales and marketing teams find, acquire, and grow customers.
Why Work With Us
ZoomInfo is where the world’s brightest minds in Data and Go-To-Market come together to do their best work. We’re a founder-led organization that recognizes your success with 2x the career mobility of our SaaS peers. Being action-oriented, resourceful, and resilient will not only help you fit in, it will help you thrive.
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