Product Management Jobs in Chennai

Technical Lead-Project Management

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Technical Lead-Project Management professional to join our team in the Automotive industry. This role will focus on leading and guiding project teams through the complexities of vehicle development, ensuring successful project delivery and continuous improvement of our processes. Key Responsibilities The Technical Lead-Project Management will be responsible for overseeing and directing project activities, ensuring alignment with strategic goals and delivering high-quality results. This includes proactively identifying and resolving issues, fostering collaboration among team members, and effectively communicating project status to stakeholders. Required Skills & Qualifications Strategy Planning: Ability to develop and execute strategic plans that align with overall business objectives, considering market trends and competitive landscape. Issue Resolution: Proven ability to identify, analyze, and resolve complex issues that arise during project execution, utilizing problem-solving techniques and critical thinking. Vehicle Development Workflow: Deep understanding of the entire vehicle development lifecycle, from concept to production, and the ability to navigate its intricacies effectively. Project/Program Management Techniques: Proficiency in utilizing various * Project/Program Management Techniques *, including but not limited to Agile, Waterfall, and hybrid methodologies, to manage project scope, schedule, and budget. Process Improvement: Demonstrated ability to identify areas for process improvement and implement solutions that enhance efficiency, reduce costs, and improve quality. Conflict Management: Skillful in mediating and resolving conflicts among team members or stakeholders, fostering a collaborative and productive work environment. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and concisely convey complex information to diverse audiences. Presentation Skills: Ability to create and deliver engaging and informative presentations to stakeholders at all levels. Leadership Skills: Strong leadership qualities, with the ability to motivate and inspire team members to achieve common goals. Stakeholder Management: Proven ability to build and maintain strong relationships with stakeholders, effectively managing expectations and ensuring alignment. Forecasting & Anticipation: Ability to accurately forecast project timelines and potential challenges, proactively anticipating and mitigating risks. Product Development Process: Comprehensive understanding of the * Product Development Process *, including design, testing, and validation phases. Vehicle Performance: Knowledge of * Vehicle Performance * metrics and their impact on overall project success. Education: A Bachelor’s degree / Master’s degree in mechanical or Automobile Engineering is required. Experience: A minimum of 8-12 years of relevant experience in project management within the automotive industry is expected. This level of experience indicates a seasoned professional capable of leading complex projects and mentoring junior team members. What We Offer Salary:

Software Engineer

RLE India Private Limited•

Chennai

•Full-time

Software Engineer Job Description Job Summary We are seeking a skilled Software Engineer to join our team in Chennai. This is an onsite position within the IT / Technology industry. The ideal candidate will possess a strong analytical background and a proven ability to solve complex problems, with experience in Hyperion and related technologies. Key Responsibilities This role will involve a range of responsibilities related to Essbase and related systems, including but not limited to: Data Validation and Data Reconciliation to ensure data integrity. Month End Activities to support accurate financial reporting. Scenario Management , including opening and closing scenarios. User Acceptance Testing (UAT) to validate system functionality. Production Release Coordination to ensure smooth deployments. Application Migration activities to support system upgrades and transitions. Outline Management and Metadata Maintenance to ensure data accuracy and consistency. Essbase Backup and Essbase Recovery procedures to safeguard data. Essbase Optimization and Performance Tuning to maximize system efficiency. ETL processes to ensure data flows seamlessly. Testing and Development activities to support system enhancements. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex data and identify trends and insights. Problem-Solving Skills: Proven ability to identify, analyze, and resolve technical issues effectively. Communication Skills: Excellent written and verbal communication skills to collaborate effectively with stakeholders. Technical Proficiency: Strong experience with Hyperion , including Essbase . Proficiency in Essbase Calculation Scripts and Essbase Maxl Commands . Experience with Essbase Partitions , including Transparent , Replicated , and Linked configurations. Familiarity with ASO and BSO architectures. Experience with Aggregate Storage and Block Storage . Proficiency in Essbase SmartView and Excel Add-in . Experience with LCM for Application Migration . Knowledge of Autosys for Job Maintenance , including Create Jobs , Update Jobs , and Delete Jobs . Experience with Encryption and Anonymization techniques. Financial Planning and Budgeting experience. Forecasting skills. End-User Support experience. Qualifications: A Bachelor's Degree is required. Experience Required: A minimum of 10 years of experience is expected, demonstrating a high level of seniority and expertise in the field. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge AI and ML initiatives within a dynamic Technology environment. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI and ML models and systems. This includes collaborating with cross-functional teams to define project requirements, designing and implementing solutions, and ensuring the quality and reliability of deployed models. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms, techniques, and their practical applications. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) for developing and deploying AI and ML solutions. This includes experience with GCP services such as Vertex AI, BigQuery, and Cloud Storage. GenAI : Experience with Generative AI models and techniques, including understanding of large language models and their applications. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into existing systems. MLOps : Knowledge of MLOps practices and tools for automating and streamlining the machine learning lifecycle, from model development to deployment and monitoring. RESTful APIs : Ability to design and implement RESTful APIs for integrating AI and ML models with other systems and applications. Microservices : Experience with microservices architecture and its application in building scalable and resilient AI and ML systems. Data Pipelines : Ability to design and implement robust and efficient data pipelines for ingesting, transforming, and preparing data for AI and ML models. Model Monitoring : Experience with model monitoring techniques and tools for tracking model performance and identifying potential issues. Model Governance : Understanding of model governance principles and best practices for ensuring the ethical and responsible use of AI and ML models. Serverless : Familiarity with serverless computing concepts and technologies for building scalable and cost-effective AI and ML applications. Containerized : Experience with containerized deployments using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate with product management teams to define requirements and translate them into technical solutions. Reasoning : Strong analytical and reasoning skills for problem-solving and decision-making in complex situations. Tool-use : Ability to effectively utilize various AI and ML tools and technologies. APIs : Understanding of APIs and their role in integrating AI and ML models with other systems. Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI and ML . What We Offer We offer a competitive compensation package.

DRE – SWITCHES

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and detail-oriented DRE – Switches professional to join our team in Pune. This role will focus on the development, validation, and integration of various switch modules for automotive applications. Key Responsibilities This role will be responsible for a wide range of switch-related activities, including but not limited to: Developing and defining switch circuit architectures. Performing voltage and current analysis to ensure optimal switch performance. Coordinating PCB interface and connector selection. Implementing ESD protection measures. Developing switch illumination strategies, including LED illumination and dimming. Coordinating with EMC/EMI teams to ensure compliance. Defining harness interfaces and coordinating with electrical engineering teams. Developing switch matrixes and integrating capacitive sensing capabilities. Performing short circuit and overload protection analysis. Integrating switches with electronic control units ( ECUs ). Defining diagnostic strategies for switch functionality. Integrating LIN slave modules. Managing switch illumination dimming strategies and power mode management. Ensuring technical feasibility and design robustness of switch solutions. Overseeing vehicle-level switch integration. Required Skills & Qualifications Bachelor's degree ( B.E. / B. Tech. / M. E / M. Tech ) in Electronics and Telecommunication, Mechanical, or Electronics & Electrical Engineering. Proficiency in Driver Switches , Passenger Switches , and Non-Ergonomic Switches . Strong understanding of EE Architecture and the ability to create and interpret Circuit Diagrams . Experience with CATIA and CAD Packaging for switch design and modeling. Familiarity with Engineering Change management processes. Knowledge of Homologation and Regulation Compliance requirements. Experience with Product Release cycles and Supplier Management . Ability to contribute to Weight Reduction and Cost Reduction initiatives. Experience with Validation processes and APQP methodologies. Familiarity with PLM systems. Knowledge of various switch types including HVAC/FATC control switches , Rotary Knobs , Capacitive Touch Panels , Push Buttons , and Haptic Feedback Mechanisms . Experience with Illumination Guides , Symbols , Decorative Bezels , and Trims . Familiarity with Steering Wheel Switches , Audio Control Switches , Cruise Control Switches , and ADAS Switches . Experience with Paddle Switches , Backlit Switch Modules , and Steering Wheel Mounted Controls . Understanding of Airbag Package Interface Coordination . Experience with Window Switches , Seat Switches , Sunroof Switches , and Hazard Switches . Familiarity with Console Switches , Roof Control Switches , and Ambient Control Switches . Ability to define Switch Circuit Architecture . Experience with LED Illumination Development . Ability to coordinate PCB Interface Coordination . Knowledge of Connector Selection and Terminal Selection . Experience with ESD Protection Implementation . Ability to perform Backlighting Development . Ability to coordinate EMC/EMI Requirement Coordination . Ability to define Harness Interface Definition . Ability to coordinate CAN/LIN Communication Coordination . Ability to develop Switch Matrix Development . Ability to integrate Capacitive Sensing Integration . Ability to perform Short Circuit Analysis and Overload Protection Analysis . Experience with Electronics Integration . Ability to work with ECU Teams . Ability to integrate HMI Signal Integration . Ability to define Diagnostic Strategy Definition . Ability to integrate LIN Slave Module Integration . Ability to define Switch Illumination Dimming Strategy . Ability to manage Power Mode Management , Wake-Up Strategy , and Sleep Mode Strategy . Ability to coordinate PCB Packaging Coordination . Ability to perform Vehicle Level Switch Integration . What We Offer

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team. This role will focus on leveraging cutting-edge AI/ML techniques to solve complex business challenges within the IT / Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI/ML models and systems. This includes contributing to the full lifecycle of AI projects, from initial conception and design to implementation, testing, and ongoing monitoring. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for data analysis, prediction, and automation. GCP : Proficiency in utilizing Google Cloud Platform (GCP) for developing and deploying AI/ML solutions. This includes familiarity with GCP Services and their integration within a cloud-based environment. GenAI : Experience with Generative AI models and their applications. AI Agents : Knowledge of AI Agents and their implementation. RESTful APIs : Ability to design and integrate with RESTful APIs for seamless data exchange and system interoperability. Microservices : Understanding of Microservices architecture and its application in building scalable and resilient AI systems. MLOps : Experience with MLOps practices to streamline the machine learning lifecycle, including automation, continuous integration, and continuous delivery. Serverless : Familiarity with Serverless computing concepts and their application in building efficient and cost-effective AI solutions. Containerized : Experience with Containerized environments, such as Docker and Kubernetes , for deploying and managing AI applications. Agile : Proven ability to work within an Agile development framework, collaborating effectively with cross-functional teams. Product Management : Understanding of Product Management principles and their application in defining and delivering successful AI -powered products. Reasoning : Ability to apply logical Reasoning to solve complex problems and make informed decisions. Tool-use : Proficiency in utilizing various AI and ML tools and frameworks. APIs : Experience with APIs and their integration. Data Pipelines : Ability to design and implement robust Data Pipelines for efficient data processing and transformation. Model Training : Expertise in Model Training techniques and best practices. Model Deployment : Experience with Model Deployment strategies and tools. Model Versioning : Ability to implement Model Versioning to track and manage different versions of AI models. Model Monitoring : Proficiency in Model Monitoring techniques to ensure the ongoing performance and accuracy of AI models. Model Governance : Understanding of Model Governance principles and their application in ensuring responsible and ethical use of AI . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI/ML is expected. This level of experience indicates a solid foundation in AI principles and a proven ability to contribute effectively to real-world projects. What We Offer Salary:

Software Engineer (3) - Core Senior Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking three experienced Software Engineer (3) - Core Senior Engineer to join our team in Chennai. This is a hybrid role within the IT / Technology industry. Key Responsibilities This role will involve a range of responsibilities related to Hyperion and related systems, including administration, maintenance, and support. The successful candidate will be responsible for ensuring the stability and performance of our Essbase environment, supporting users, and participating in key activities such as month-end close and application migrations. Required Skills & Qualifications The ideal candidate will possess a strong skillset in the following areas: Hyperion and Essbase Expertise: Demonstrated proficiency in Hyperion and Essbase administration, including experience with EAS console , Aggregate Storage , ASO , and BSO . Essbase Scripting and Commands: Solid understanding of Essbase Calculation Scripts and Essbase Maxl commands . Essbase Architecture: Familiarity with Essbase Partitions , including Transparent , Replicated , and Linked configurations. Autosys Job Management: Experience with Autosys for job scheduling, including Create jobs , Update jobs , and Delete jobs . Essbase SmartView : Proficiency in using Essbase SmartView , including its Excel add-in capabilities. LCM Management : Experience with LCM Management for Essbase environments. Financial Planning & Analysis: Understanding of Budgeting , Forecasting , and Financial Planning processes. Data Integrity: Strong skills in Data Validation and Data Reconciliation . User Support: Ability to provide End-User Support and resolve issues effectively. Month-End Activities: Experience with Month end activities , including Scenarios open and Scenarios close . Testing & Release Support: Experience with User Acceptance Testing (UAT) and Support Production Release . Application Management: Experience with Application migration activity . Essbase Management: Proficiency in Outline Management , Metadata Maintenance , Essbase Backup , and Essbase Recovery . Performance Optimization: Skills in Essbase Optimization and Performance Tuning . Coding : Ability to write and debug Essbase related code. Analytical and Problem-Solving Skills: Strong Analytical Skills and Problem-Solving Skills . Communication Skills: Excellent Communication Skills for effective collaboration and communication with stakeholders. Experience Required: 10 + years of relevant experience. This level of experience indicates a senior-level role requiring a high degree of autonomy and expertise. The candidate should be able to work independently, mentor junior team members, and contribute to the strategic direction of the Essbase environment. What We Offer Salary:

Design & development engineer – Interior Restraints

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and experienced Design & Development Engineer – Interior Restraints to join our team. This role will be responsible for the design and development of interior restraint systems within the automotive industry. The ideal candidate will possess a strong understanding of product design, development, and manufacturing processes, with a focus on safety-critical components. Key Responsibilities This role will involve a range of responsibilities related to the design and development lifecycle of interior restraint systems. The engineer will be expected to contribute to all phases, from initial concept through to production release and ongoing support. Required Skills & Qualifications Education: A Bachelor of Engineering (B.E./B. Tech) or Master of Engineering (M.E/ M. Tech) degree in Mechanical, Automobile, Production, or Industrial Engineering is required. Product Design: Demonstrated ability in product design, encompassing the creation of detailed designs and specifications for automotive components. Development: Experience in the full product development lifecycle, from concept generation to validation and verification. Seat Belts & Airbags: A strong understanding of seat belt and airbag systems, including their functionality, design considerations, and safety requirements. C Steering Wheel: Knowledge of steering wheel design and integration within the vehicle architecture. Component Design: Proficiency in component design, ensuring components meet performance, durability, and manufacturability requirements. System Design: Ability to design and integrate complex systems, considering interactions between various components. Software Proficiency: Expertise in utilizing UG , CATIA , and Ennovia for 3D modeling, design, and simulation. Familiarity with Nx is also beneficial. Manufacturing & Assembly: A solid understanding of manufacturing processes and assembly feasibility studies, ensuring designs are practical for production. Design Release: Experience with design release processes, including the creation of necessary documentation and approvals. Change Management: Ability to manage design changes effectively, ensuring proper documentation and impact assessment. PLM: Familiarity with PLM (Product Lifecycle Management) systems for managing design data and workflows. Project Management: Ability to manage projects effectively, ensuring timely completion and adherence to budget. Leadership: Demonstrated leadership potential, with the ability to guide and mentor junior engineers. Presentation Skills: Excellent presentation skills, with the ability to communicate technical information clearly and concisely. Communication Skills: Strong written and verbal communication skills, enabling effective collaboration with cross-functional teams. Software Proficiency: Proficiency in MS-Office and Google G-Suite for documentation and communication. Experience: 6 - 9 years of relevant experience in the automotive industry is required. This level of experience indicates a seasoned professional capable of independently managing design projects and providing technical leadership. What We Offer Salary: (Salary information not provided) This position is onsite .

Design & development engineer – Interior Restraints

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Design & Development Engineer – Interior Restraints to join our team. This role will be based onsite and will contribute to the design and development of interior restraint systems within the automotive industry. Key Responsibilities The responsibilities of this role will include contributing to the design and development of interior restraint systems, ensuring adherence to quality standards and project timelines. Required Skills & Qualifications B.E./B. Tech or M.E/ M. Tech in Mechanical, Automobile, Production and Industrial Engineering. This demonstrates a strong foundation in engineering principles relevant to automotive design and manufacturing. UG : Proficiency in UG is essential for performing various engineering tasks. CATIA : Expertise in CATIA is required for 3D modeling and design work. Ennovia : Familiarity with Ennovia is necessary for product lifecycle management and collaboration. MS-Office : Competency in MS-Office suite is expected for documentation and communication. Google G-Suite : Proficiency in Google G-Suite is required for collaborative work and communication. Product Design : A strong understanding of product design principles and methodologies. Component Design : Ability to design individual components with consideration for functionality and manufacturability. System Design : Capability to design complete systems, integrating various components to meet performance requirements. Manufacturing : Knowledge of manufacturing processes and their impact on design decisions. Assembly : Understanding of assembly techniques and their implications for product design. Feasibility Study : Ability to conduct feasibility studies to assess the viability of design concepts. Presentation Skills : Excellent presentation skills to effectively communicate design concepts and findings. Communication Skills : Strong written and verbal communication skills for collaborating with cross-functional teams. Project Management : Ability to manage projects effectively, ensuring timely completion and adherence to budget. Leadership : Demonstrated leadership potential to guide and motivate team members. Design Release : Experience with design release processes and procedures. Change Management : Ability to manage design changes effectively and efficiently. PLM : Familiarity with PLM systems for managing product data and processes. 4 - 6 years of experience are required. This indicates a mid-level seniority, with expectations of independent work and contribution to complex projects. What We Offer Salary is not provided.

Core team Engineer – CLOSURE

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Core Team Engineer to join our team in Chennai. This role will focus on the design, development, and validation of closure systems for our automotive products. The ideal candidate will possess a strong understanding of mechanical engineering principles, design methodologies, and manufacturing processes. Key Responsibilities The Core Team Engineer will be responsible for a range of tasks related to closure systems, including design, analysis, validation, and continuous improvement. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality results within a fast-paced environment. Required Skills & Qualifications Education: A Bachelor of Engineering (B.E.) / Bachelor of Technology (B. Tech.) / Master of Engineering (M. E) / Master of Technology (M. Tech.) degree in Mechanical or Automotive Engineering is required. Experience: 6-9 years of experience in automotive engineering, specifically related to closure systems, is expected. This level of experience indicates a proven ability to independently manage complex engineering tasks and contribute to team goals. Analytical Skills: Demonstrated ability to analyze complex engineering problems and develop effective solutions. This includes the ability to interpret data, identify trends, and draw logical conclusions. Problem-Solving Skills: A systematic and resourceful approach to problem-solving, with the ability to identify root causes and implement corrective actions. Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences. Closure Parts Design: Expertise in the design of closure parts, ensuring functionality, manufacturability, and compliance with industry standards. Closure Systems Design: Comprehensive knowledge of closure systems design, including mechanisms, sealing technologies, and integration with vehicle systems. Product Life Cycle Management: Familiarity with Product Life Cycle Management principles and practices, ensuring efficient management of product data and processes. Manufacturing Knowledge: A strong understanding of manufacturing processes, including die process and die tryouts, to ensure designs are feasible for production. MIS: Proficiency in MIS (Management Information Systems) for data analysis and reporting. QFS, QUI, TGW: Experience with QFS , QUI , and TGW tools and methodologies. DFMEA: Expertise in DFMEA (Design Failure Mode and Effects Analysis) to identify and mitigate potential design risks. CAD: Proficiency in CAD (Computer-Aided Design) software, including UG-Nx and CATIA . DVPR: Knowledge of DVPR (Design Verification Plan and Report) processes and requirements. Die Process: Understanding of Die Process principles and their impact on part quality and manufacturability. Die Tryouts: Experience with Die Tryouts to validate tooling and production processes. Weight Optimization: Ability to apply Weight Optimization techniques to minimize part weight without compromising performance or functionality. Cost Optimization: Experience in Cost Optimization strategies to reduce manufacturing costs while maintaining quality. Sheet Metal Design: Expertise in Sheet Metal Design principles and practices. Formability: Understanding of Formability considerations in sheet metal design. Mechanism: Strong understanding of mechanical Mechanism principles. Sealing: Knowledge of Sealing technologies and their application in closure systems. CDL Analysis: Ability to perform CDL (Crash Duration Limit) analysis to ensure safety performance. Kinematic Simulation: Proficiency in Kinematic Simulation to validate system functionality and performance. GD&T: Expertise in GD&T (Geometric Dimensioning and Tolerancing) principles. Benchmarking: Ability to conduct Benchmarking studies to identify best practices and competitive advantages. Tear Down Activities: Experience in Tear Down Activities to analyze competitor products and identify design insights. Regulatory Requirements: Knowledge of relevant Regulatory Requirements for automotive closure systems. Teamcenter: Experience with Teamcenter for product data management. What We Offer Salary: