C

Cerence

AI-powered in-car voice and assistant software

FinOps Engineer / Architect

Full-Time
$86.5k - $129.7k/yr+ Annual bonus + Equity awards + RRSP contribution
Junior, Mid
Bachelor's
Remote in USA
Remote

About the job

Requirements
  • At least 2 years of experience in FinOps, cloud engineering, cloud operations, or related technical disciplines.
  • Strong knowledge of cost management using native Azure, AWS, and Google Cloud Platform services and third-party tools such as CloudZero, Vantage, or CloudHealth.
  • Experience with Structured Query Language, data analysis, reporting platforms, and dashboard development; Power BI is preferred.
  • Experience supporting financial planning, budgeting, forecasting, or cost optimization initiatives.
  • Ability to translate verbal and written interactions into requirements and deliverables.
  • Experience with data pipelines on platforms such as Microsoft Fabric, Power BI, Kubecost, and Python, or equivalent data and cloud financial management frameworks.
  • A bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related engineering discipline.
  • Equivalent practical experience developing edge and embedded applications may also be considered.
  • Basic knowledge of information security and data privacy requirements.
  • Demonstrated knowledge of information security through internal training programs.
Responsibilities
  • Manage and improve cloud cost reporting across Azure, Amazon Web Services, and Google Cloud Platform environments.
  • Define, design, implement, ship, and maintain operational tooling for budgeting, variance analysis, anomaly detection, and executive reporting.
  • Maintain, enhance, and migrate data pipelines, reporting models, dashboards, and automation supporting FinOps operations.
  • Improve cost allocation through labeling, tagging, allocation, showback, and chargeback processes.
  • Support cost optimization initiatives and drive efficiency improvements.
  • Manage reporting and analytics solutions including Structured Query Language, Power BI, Microsoft Fabric, and related technologies.
  • Collaborate with cross-functional teams to improve cloud financial accountability and governance.
  • Document operational, development, deployment, and collaboration processes.
  • Use artificial intelligence to accelerate and automate cross-functional campaigns, job duties, operational resolution, and monitoring.
  • Ensure continuity of FinOps tooling, reports, and capabilities.

About the company

Cerence creates AI-powered software for the automotive industry to improve the in-car experience, safety, and connectivity. Its products include voice recognition, AI-driven assistants, and sensory technologies that help entertain, inform, and assist drivers and passengers. The software integrates into vehicles via licensing and subscription models, with ongoing support and updates as a service. Cerence works with automakers and suppliers (such as Mercedes-Benz, Nuance, and Daimler) to embed intelligent user interactions into infotainment and cockpit systems, contributing to connected and autonomous driving efforts. The company differentiates itself through deep automotive expertise, long-standing partnerships, and end-to-end software and services tailored for vehicles. Its goal is to advance transportation by making mobility safer, more personalized, and better connected, aligned with trends in smart cities, electric vehicles, and shared mobility.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Burlington, Massachusetts

Founded

2019

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Simplify's Take

What believers are saying

  • Q3 FY2026 revenue reached $69.6 million, with $20 million operating cash flow.
  • Stellantis awarded multi-brand xUI in August 2026, targeting millions of vehicles.
  • Vivoka expansion and Mobile Work Agent win diversify Cerence beyond automotive.

What critics are saying

  • Cerence sued Amazon on May 5, 2026; ITC relief remains uncertain.
  • Q1 FY2026 recorded $7.9 million restructuring charges, including $7.6 million for personnel.
  • Q4 FY2026 guidance excludes fixed-license contracts, exposing revenue to signing delays.

What makes Cerence unique

  • Cerence xUI powers BYD's 2026 global LLM assistant rollout across languages.
  • Cerence EVD detects sirens in 47 countries, serving Mercedes-Benz and BMW programs.
  • More than 525 million shipped cars embed Cerence technology across automakers.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

Paid Vacation

Paid Holidays

Company Equity

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 0%

2 year growth

↓ -2%
Cerence Inc.
Sep 15th, 2026
Cerence AI honored at JLR's 2026 Global Supplier Excellence Awards.

Cerence AI honored at JLR's 2026 Global Supplier Excellence Awards. By Cerence AI September 15, 2026 Cerence AI was recognized by JLR with its Exceptional Creator award at the automaker's 2026 Global Supplier Excellence Awards. The category recognizes outstanding partners shaping the future of JLR's business. The award reflects the depth of Cerence AI's collaboration with JLR, with Cerence bringing conversational, intelligent AI to JLR's in-car platform and enabling a more intuitive cabin experience. The close partnership between the two companies has enabled JLR to adopt new AI capabilities with greater speed across areas including agentic AI and immersive voice experiences. "We are honored to receive JLR's Exceptional Creator award, which reflects the strength of our partnership and shared vision for the future of in-car experiences," said Christian Mentz, Chief Revenue Officer, Cerence AI. "Together, we are advancing conversational AI that delivers intuitive, intelligent interactions while enabling JLR to innovate with speed and flexibility." "Cerence plays a key role in delivering proactive, conversational intelligence to our customers," said Tobias Moch, Chief Procurement Officer at JLR. "Our collaboration has evolved in the AI era, with Cerence helping us stay agile, adopt new capabilities with greater speed and confidence, and ultimately deliver a better cabin experience for our customers."

Cerence Inc.
Aug 17th, 2026
Closing a critical safety gap in autonomous driving.

Closing a critical safety gap in autonomous driving. By Stefan Hamerich, Senior Director Product Management August 17, 2026 Autonomous mobility is on the rise. Robotaxi companies like Zoox and Waymo are serving hundreds of thousands of rides each week, autonomous trucking is advancing toward widescale commercial deployment, and automated driving systems continue to expand across passenger vehicles and commercial fleets. As these technologies mature, attention is increasingly turning to one question: how safely can autonomous vehicles (AVs) operate in complex, real-world conditions? One of the most important aspects of this conversation is how AVs recognize and respond to emergency vehicles. To help address this challenge, Cerence AI developed Emergency Vehicle Detection (EVD), an audio AI solution that detects approaching emergency vehicles and alerts either the driver or the vehicle system. The Safety Challenge Emergency situations are rarely straightforward. An ambulance may be approaching from behind in heavy traffic. A fire truck may be navigating through a congested urban corridor. First responders may be managing an active scene using emergency lights, traffic cones, and other signals. In July, the United States National Highway Traffic Safety Administration (NHTSA) issued a public call to action urging autonomous vehicle developers to place greater focus on interactions between AVs and first responders. The agency highlighted repeated instances where AVs interfered with emergency operations. The implications extend beyond autonomous driving. Whether operated by a human or an automated system, a car that fails to recognize an approaching emergency vehicle can delay response times, create confusion in already stressful situations, and introduce unnecessary safety risks. As automated mobility continues to scale, emergency vehicle awareness will become an increasingly important component of the overall safety stack. Why Audio Matters Many autonomous driving conversations focus on what a vehicle can see. Cameras, radar, and other sensors provide essential information about the surrounding environment. Yet emergency vehicles are often heard before they are seen. Traffic, buildings, weather conditions, and other obstacles can limit visibility. Sirens are specifically designed to provide advance warning before an emergency vehicle reaches a driver's field of view. Those additional seconds give drivers or automated systems valuable time to make decisions that can impact safety-critical outcomes. Audio offers a unique and important layer of environmental awareness that complements other vehicle sensing technologies. Enabling Better Situational Awareness for Autonomous Vehicles Cerence EVD is certified in 47 countries and supports more than 1,500 siren sounds. It is designed to recognize a broad range of emergency vehicles, including ambulances, police cars, and fire engines. It can identify sirens from more than 300 meters away using vehicle-integrated microphones. When external microphones are used, detection distances can extend beyond 800 meters. External microphone configurations also support directional awareness, helping determine where the siren is coming from. Using advanced audio processing and AI-based classification, EVD can distinguish emergency sirens from surrounding sounds such as traffic noise, music, conversations, and other common driving distractions. Proven in Today's Vehicles and Tomorrow's Mobility Platforms Emergency vehicle detection is a real-world challenge that requires solutions capable of operating across countries, vehicle types, roadway conditions, and regulatory environments. Cerence EVD is already being deployed across vehicle programs and mobility platforms. Mercedes-Benz and BMW have integrated EVD as part of their automated driving initiatives, and the technology is being applied across use cases ranging from passenger vehicles to autonomous bus deployments. Cerence also works with customers across emerging mobility categories, including robotaxis and autonomous trucking. Looking Ahead As autonomous mobility continues to evolve, emergency vehicle awareness will become a foundational capability. Vehicles must be able to understand more than lane markings, traffic signals, and nearby objects. They also need to recognize critical situations developing beyond their immediate field of view and respond appropriately when every second counts. Cerence EVD has an important role to play in that future. Serving as a vehicle's "ears," it helps drivers recognize and respond to emergency vehicles earlier, supporting safer roads for drivers, passengers, first responders, and the communities they serve. To learn more about Cerence Emergency Vehicle Detection and how it can support your mobility platform, contact the Cerence AI team or visit the EVD page.

Yahoo Finance
Aug 8th, 2026
Cerence shifts to growth mode in fiscal 2027 with xUI scaling to 2M vehicles

Cerence reported fiscal third-quarter 2026 results highlighting a 20% year-over-year increase in recurring connected services revenue. The automotive AI company now has approximately 100,000 vehicles running its xUI platform, with management targeting a couple million by the end of fiscal 2027. The company secured a major xUI contract with Stellantis and its first mobile work agent customer. Variable license revenue faced headwinds from unfavorable regional production mix and difficult year-over-year comparisons. Cerence is expanding into non-automotive sectors, including industrial operations and robotics. Management expects high-single to low-double digit revenue growth in fiscal 2027, driven by xUI scaling and non-automotive initiatives. The board authorised the company's first share repurchase programme of up to $30 million. Free cash flow guidance for fiscal 2026 was raised to $76 million to $82 million.

Yahoo Finance
Aug 7th, 2026
Cerence reports $1.5M profit in Q3, expects revenue of $61M–$65M for Q4

Cerence, an automotive artificial intelligence developer, reported a net profit of $1.5 million for its fiscal third quarter, translating to 3 cents per share. Adjusted earnings came to 15 cents per share. The Burlington, Massachusetts-based company posted revenue of $69.6 million for the period. For the current quarter ending in September, Cerence expects revenue between $61 million and $65 million. The company projects a full-year loss of 2 cents to 6 cents per share, with revenue ranging from $310 million to $314 million.

WTOP
Aug 6th, 2026
Cerence: fiscal Q3 earnings snapshot.

Cerence: fiscal Q3 earnings snapshot. August 6, 2026, 5:30 PM BURLINGTON, Mass. (AP) - BURLINGTON, Mass. (AP) - Cerence Inc. (CRNC) on Thursday reported profit of $1.5 million in its fiscal third quarter. The Burlington, Massachusetts-based company said it had net income of 3 cents per share. Earnings, adjusted for stock option expense, came to 15 cents per share. The automotive artificial intelligence developer posted revenue of $69.6 million in the period. For the current quarter ending in September, Cerence said it expects revenue in the range of $61 million to $65 million. The company expects a full-year loss of 2 cents to 6 cents per share, with revenue ranging from $310 million to $314 million. Keep Watching Ocean City auctioning off signs to let beach lovers bring home a piece of history Ocean City auctioning off signs to let beach lovers bring home a piece of history This story was generated by Automated Insights (http://automatedinsights.com/ap) using data from Zacks Investment Research. Access a Zacks stock report on CRNC at https://www.zacks.com/ap/CRNC