Cerence Inc.

• Finetune LLMs using RL and other SOTA methods • Create conversational workflows involving tool-calls and static knowledge • Work with agent teams to build business logic into conversation • Employ multimodals to enrich the conversational UX • Innovate and build novel methods for faster inference

• Lead xUI product management for Asian OEMs focusing on China, Japan, Korea, and India. • Drive successful adoption and launch of xUI with top Asian OEMs. • Collaborate with internal teams across R&D, Marketing, Sales, Legal, and executive team. • Document product requirements, user stories, and provide clear guidance for product development. • Define customer and market-driven strategy and communicate it to stakeholders. • Translate product requirements into specifications for effective implementation. • Conduct market research for insights into customer needs.

A Moving Experience. AI Intern (Summer) The AI Intern will support the team on hands‑on projects focused on building, testing, and improving AI‑driven solutions. During the summer, the intern will work closely with engineers and data scientists to analyze data, experiment with machine learning models, and contribute to real‑world applications of AI. This role offers practical experience with modern AI tools and frameworks while gaining exposure to collaborative, production‑level development in a fast‑paced environment. 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. EQUAL OPPORTUNITY EMPLOYER 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.

• Support the team on hands-on projects focused on building, testing, and improving AI-driven solutions • Analyze data and experiment with machine learning models • Contribute to real-world applications of AI

• Architect, design, and implement state-of-the-art Generative AI models (auto-regressive, diffusion, Discrete Diffusion, Hybrid SSM etc ) and advance the SOTA. • Leverage your expertise to effectively train, fine-tune, and optimize models that impact LLMs (Multimodal & Multilingual), shaping them for optimal accuracy, naturalness, and performance. • Collaborate closely with cross-functional teams comprising agentic AI scientists, software engineers, and domain experts. • By understanding their requirements, you will collaboratively develop customized solutions that leverage the prowess of LLMs/MLLMs. • Innovate and enhance existing applications by integrating the power of LLMs/MLLMs, thereby ensuring optimal performance and speed even on resource-constrained platforms. • Stay fully abreast of the latest advancements, trends, and research in the realms of Generative AI, Conversational AI, and language modeling, actively incorporating new techniques, technologies, and best practices to continually enhance the overall performance of our systems.

A Moving Experience. Business Analyst - Sales and Finance We are seeking a highly motivated and experienced Analyst to join our team. This role serves as a bridge between our business stakeholders (Sales, Finance and Accounting) and our technical business systems, ensuring that tools, data, business workflows and reporting capabilities scale with Cerence’s growth and directly support our revenue-generating teams. In this position, you will utilize a combination of your experience extracting data from business systems (Hubspot, Workday and Power BI), data modelling skills, knowledge of the B2B Enterprise software sales process and prior experience working with high volume of usage based transactional sales data to build standardized data models and create visually compelling reports and dashboard that will enable data-driven decision making across the organization. Job Duties & Responsibilities: - Data Governance and Process: Work cross departmentally to document business requirements, define KPIs, and lead the design and architecture of data workflows across multiple systems to enable organizational level business reporting. - Data Transformation and Modelling: Extract usage-based sales data from various business systems (Hubspot, Workday Financials), databases (Excel, Hosted Projects) and external sources (IHS Market Data) into a BI application to create standardized data models that can be leveraged by non-technical business users to report on key business and financial results (Bookings, Billings, Revenue and Backlog Contribution). - Reporting and Dashboards: - Create self-service reports and dashboards using BI visualization tools with role level security that enable non-technical business users’ access to key financial and operational business results. - Build, maintain and continuously improve our IR KPI Dashboard. - Commercial and Sales Ops Process Enhancements: Identify and drive continuous improvement opportunities across contracting, forecasting and deal execution workflows. Document existing “as is” processes and make recommendations to automate, enhance and streamline manual workflows. - Business Systems Enhancements: Be the subject matter expert on data orchestration and workflows across various system. Work cross departmentally with IT, Finance and Business Ops teams to evaluate new and enhance existing business system applications that deliver measurable ROI and efficiency. What We’re Looking For: - Minimum of 3 years of experience in Sales Operations, Revenue Operations, or Business Operations or similar within a B2B software organization, preferably in the mid-market / enterprise space. Familiarity with B2B software licensing models; Tiered Pricing, Volume Discounts, Multi-Product Bundles is helpful. - Demonstrated experience extracting data from various sources (GTM Business System, Financial Systems, External Data Sources) and using BI applications to transform the data into meaningful data models that can be used to model long term business growth and financial results. - Experience creating complex usage-based revenue forecast models based on multiple inputs. Must have working knowledge of revenue accounting principles that are specific to the software industry (ACS 606). - Demonstrated experience documenting business requirements and designing complex data workflows across multiple systems. - Possess strong technical skills (SQL, Python, ETL, Calling Rest API’s) and proficient using popular BI tools to model data and create reports/dashboards. Nice to Have: - Experience with Workday Data Sources and Business Objects - Experience with Hubspot. - Experience using Power BI - Electronic Data interchange (EDI) experience What we offer We offer a generous compensation and benefits package (in addition to the base salary), including: - Salary range of 98,000 - 122,000 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 RRSP (Registered Retirement Savings 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. 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. EQUAL OPPORTUNITY EMPLOYER 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.

• Maintain and manage GitLab and JFrog Artifactory for version control and artifact storage • Oversee Role-Based Access Control (RBAC) to ensure security and compliance • Help different squads onboard new projects within our Kubernetes environments • Collaborate with cross-functional teams to achieve DevOps objectives • Ensure and promote compliance with industry standards and regulations (FR/NFR) • Provide mentorship and guidance, both internally and externally, on GitOps best practices

• Hold full accountability for strategic planning, governance, and execution of large, complex, multi-year programs and a portfolio of customer projects • Define project delivery frameworks and ensure consistent implementation across project teams • Anticipate risks and drive executive-level mitigation strategies to ensure delivery success and customer satisfaction • Lead and coordinate technical and cross-functional execution with global Cerence teams (Europe, US, APAC) • Represent Professional Services at the executive level, both internally and with customers • Own project and program profitability, including revenue forecasting, margin analysis, and scope management • Drive continuous improvement in delivery KPIs, operational efficiency, and resource utilization across programs • Act as a senior advisor to internal product teams, ensuring customer needs and market insights influence product evolution • Mentor and guide Project Managers, providing leadership, coaching, and development

• Work cross departmentally to document business requirements, define KPIs, and lead the design and architecture of data workflows across multiple systems to enable organizational level business reporting. • Extract usage-based sales data from various business systems (Hubspot, Workday Financials), databases (Excel, Hosted Projects) and external sources (IHS Market Data) into a BI application to create standardized data models that can be leveraged by non-technical business users to report on key business and financial results (Bookings, Billings, Revenue and Backlog Contribution). • Create self-service reports and dashboards using BI visualization tools with role level security that enable non-technical business users’ access to key financial and operational business results. • Build, maintain and continuously improve our IR KPI Dashboard. • Identify and drive continuous improvement opportunities across contracting, forecasting and deal execution workflows. • Document existing “as is” processes and make recommendations to automate, enhance and streamline manual workflows. • Be the subject matter expert on data orchestration and workflows across various system.

• Intake Governance: All public cloud spend requires FinOps approval, starting with established/approved budgets and requiring in-band spend provenance and out-of-band spend approvals. • Ensure meticulous documentation of every budget change transaction. • Ensure 100% compliance for every public cloud spend line item. • Collaborate with budget owners in Engineering, R&D, PS, IT and Finance to allocate special funding requests. • Bottom-up Fiscal Year Budget: Maintain and update reference data for fiscal year budget planning. • Summarize and communicate budget plans to business stakeholders. • Facilitate quarterly budget cycles and incremental spend approval with owners. • Spend Performance: Lead review meetings to monitor cloud spend and add anomaly detection to the mix. • Manage purchase orders (POs) for cloud resources. • Oversee spend reporting and provide feedback to budget owners. • Track changes to spend and ensure alignment with financial targets. • Democratize spend performance in a way that aligns with stakeholders from C-suite to engineers that implement changes that impact public cloud spend. • Cost Avoidance: Approve and manage reserved instance purchases to optimize cloud costs. • Communicate planned changes that may impact cash flow or spend performance. • Monitor reserved instance utilization and drive realization of savings goals (ESR). • Visualize coverage by SKU and support automation of cost calculations. • Report on cost avoidance achievements and how those relate back to spend performance. • Executive Presence: Demonstrate strong executive presence. • Ability to communicate effectively with senior leadership, influence decision-making, and represent the FinOps function confidently across various business units. • Showcase poise, credibility, and the capacity to inspire trust while driving strategic initiatives in a fast-evolving technology landscape. • Business Unit Cost: Democratize business unit cost at multiple layers of granularity and negotiate allocation strategies for common/shared costs so the business feels they are fair strategies. • Facilitate pricing and modeling for new and existing products/features. • Provide insights on true resource impact and technical changes affecting costs. • Estimation & Investigations: Support product, sales, and engineering teams with estimation tasks for new services or features. • Assist with investigations into cost anomalies and resource usage.