FinOps Engineer / Architect

Opportunity: Join Cerence AI as a FinOps Developer responsible for driving visibility, accountability, and optimization of cloud infrastructure spend across a global Azure-first environment. This role builds, evolves, and maintains tools that improve Cerence's cost transparency, accountability, and operational excellence. In your first year, you will modernize data pipelines, enhance cost accountability, build automation, and establish scalable FinOps processes that place Cerence among the most cost-effective businesses in the industry.
Daily Functions / Responsibilities:

• Manage and improve cloud cost reporting across environments like Azure, AWS, and GCP.

• Define, design, implement, ship, and maintain operationally excellent tooling as part of processes like budgeting, variance analysis, anomaly detection, and executive reporting.

• Maintain, enhance, and migrate data pipelines, reporting models, dashboards, and automation supporting FinOps operations.

• Evolve cost allocation through improvements to labeling, tagging, allocation, showback, and chargeback processes.

• Support cost optimization initiatives and drive efficiency improvements.

• Manage reporting and analytics solutions including SQL, Power BI, Microsoft Fabric, and related technologies.

• Collaborate with cross-functional teams to improve cloud financial accountability and governance.

• Build an organizational foundation of team data by documenting operational, development, deployment, and collaboration processes.

• Use artificial intelligence (AI) to accelerate and automate tasks and processes such as cross-functional campaigns, job duties, operational resolution, and monitoring.

• Ensure continuity of FinOps tooling, reports, and capabilities.

Requirements:

• 2+ years of experience in FinOps, cloud engineering, cloud operations, or related technical disciplines.

• Strong knowledge of cost management through tooling like native Azure, AWS, and GCP services and third-party tooling like CloudZero, Vantage, or CloudHealth.

• Experience with SQL, data analysis, reporting platforms, and dashboard development (Power BI preferred).

• Experience supporting financial planning, budgeting, forecasting, or cost optimization initiatives.

• Clear communication skills and proven ability to translate verbal and written interactions into requirements and deliverables.

• Experience with data pipelines on platforms like Microsoft Fabric, Power BI, Kubecost, Python, or equivalent data and cloud financial management frameworks.

Education & Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related engineering discipline.
• Equivalent practical experience developing edge and embedded applications will also be considered.

What we offer 

We offer a generous compensation and benefits package (in addition to the base salary), including: 

• Salary range $86,450.00 USD - $129,675.00 USD  It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors. 

• Annual bonus opportunity 

• Insurance coverage (medical, dental, vision, life, and disability) 

• Paid time off 

• Paid holidays 

• Company contribution to the 401(k) plan 

• Equity awards for certain positions and levels 

• Remote and/or hybrid work available depending on the position 

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time. 

About Cerence

Cerence is a global leader in conversational AI and voice technologies, bringing intelligent voice experiences to automotive, enterprise, and industrial markets. Our technology powers some of the world's most advanced human-machine interfaces and is now transforming industrial and manufacturing environments.

Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.  

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. 

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.

- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).

- Demonstrative knowledge of information security through internal training programs.