Job description
Be the one building AI-powered experiences where they matter most.
At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.
The IT Enterprise PMO plays a critical role in ensuring technology investments deliver measurable value across the organization. As an IT FinOps Analyst, you will support cost visibility, allocation, and optimization practices across our cloud and AI environments, enabling teams to understand and manage the true cost of the technology they consume.
At Genesys, we're transforming the customer experience landscape with empathy, AI innovation, and global impact. In this role, you will help establish and mature our enterprise IT FinOps practice while translating cloud and AI usage data into actionable financial insights for IT, Finance, and business stakeholders. You will partner with leaders across the organization to improve financial accountability, optimize technology investments, and strengthen governance for cloud and AI services.
As AI adoption accelerates across the business, you will help extend FinOps disciplines into AI and machine learning workloads by tracking token and compute consumption, identifying optimization opportunities, and supporting transparent showback practices. This is an exceptional opportunity to work at the intersection of cloud, artificial intelligence, and enterprise financial management while building expertise in one of the fastest-growing disciplines in technology.
Key Responsibilities:
Monitor and report on cloud and AI/ML spend across environments, identifying trends, anomalies, and opportunities for cost optimization
Maintain and enforce the organization's tagging and cost allocation strategy across Project, Environment, Workload, Team, and Cost Center dimensions to ensure accurate showback reporting
Prepare regular cost reports and dashboards that give engineering, finance, and business stakeholders visibility into usage patterns, efficiency, and spend trends
Track key FinOps metrics such as cost per token, cost per inference, and resource utilization efficiency to support cost-conscious decision-making across AI and cloud workloads
Review billing statements and usage data across cloud providers and AI platforms to catch discrepancies, anomalies, and untagged or misallocated resources
Support the identification and execution of cost optimization opportunities, including rightsizing recommendations, reserved capacity and commitment tracking, and idle resource cleanup
Partner with IT and platform teams to gather usage data, validate cost allocation, and follow up on optimization actions
Assist in maintaining FinOps tooling, dashboards, and runbooks, ensuring data quality and reporting accuracy
Support the Enterprise PMO by preparing cost and usage inputs for quarterly reviews and governance forums
Help track licensing terms, commitment schedules, and contract renewals within FinOps dashboards
Set up and monitor alerts for unusual increases in usage, such as GPU hours, API calls, or token consumption, that may indicate inefficient or runaway workloads
Document FinOps processes, definitions, and best practices to support consistent cost management practices across teams
Contribute to continuous improvement of FinOps reporting, automation, and governance processes
Required Qualifications:
6 to 8 years of experience in financial analysis, cloud operations, IT finance, or a related analytical role
Experience working with AI cost and usage data, such as Anthropic or OpenAI, and billing and cost management tools
Familiarity with cost allocation concepts such as tagging, showback, and chargeback models
Strong analytical skills with the ability to interpret usage and billing data and translate findings into clear, actionable insights
Proficiency with spreadsheet and reporting tools such as Microsoft Excel, Power BI, or Tableau
Working knowledge of SQL or similar technologies for accessing, querying, and analyzing usage and billing data
Strong written and verbal communication skills with the ability to present financial insights to both technical and non-technical stakeholders
Strong organizational skills with exceptional attention to detail and the ability to manage multiple reporting cycles and deadlines
Ability to collaborate effectively across IT, Finance, and business teams
Bachelor's degree in Finance, Accounting, Information Technology, Business, or a related field
Preferred Qualifications:
FinOps Certified Practitioner (FinOps Foundation) certification or progress toward certification
Experience monitoring or reporting on AI/ML or large language model workload costs, including token consumption, GPU utilization, or inference costs
Familiarity with FinOps platforms such as CloudHealth, Apptio Cloudability, AWS Cost Explorer, Azure Cost Management, or Google Cloud Billing
Experience supporting Enterprise PMO or IT portfolio management reporting processes
Basic scripting or automation experience, such as Python, to streamline recurring cost reporting
Experience with cloud governance frameworks, budget monitoring, or anomaly detection practices
Experience supporting cross-functional stakeholders within a large global enterprise
Compensation:
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.
$98,600.00 - $173,400.00Benefits:
Medical, Dental, and Vision Insurance.
Telehealth coverage
Flexible work schedules and work from home opportunities
Development and career growth opportunities
Open Time Off in addition to 10 paid holidays
401(k) matching program
Adoption Assistance
Fertility treatments
Click here to view a summary overview of our Benefits.
Working at Genesys
AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
Recognized globally – Genesys is Great Place to Work®certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.
Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
What Happens After You Apply
After you apply, here's what you can typically expect:
Our Talent Acquisition team reviews your application with the hiring team.
A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
Next, you'll meet the hiring manager and other members of the interview team.
We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.
After interviews are complete, our team will follow up with the final steps.
Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
Stay Connected
Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
Get notified about relevant opportunities.
Be the one building what's next - where AI, experience and impact come together.
Employee Referral
If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit .
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us .
You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.