Primary Responsibilities: Work with customers, Exterros engineering, product and development teams to ensure end-to-end Forensic successful project implementation and overall customer satisfaction Lead projects from requirements definition through to closure, identifying and managing deliverables, schedules, scope, resources and issues and adhering to best project management practices with agility to pivot to changing circumstances Develop, maintain and adapt end-to-end project plans, tasks, resources, deliverables and milestones Effective RAID Management with necessary mitigations and strategies in place Monitor, report and communicate project status and progress internally and to customers against key milestones and offer viable solutions and opportunities to ensure on time delivery Build and maintain long lasting relationships with stakeholders at all levels to ensure efficient project implementation Foster collaboration and facilitate communication between internal and external stakeholders to ensure scope & schedule adherence Conduct regular quality reviews and implement corrective actions to maintain high standards throughout the project lifecycle, following Agile principles of inspecting and adapting Collaborate with internal teams for pre-sales activities such as definition solutions, creating proposals/SOW, presenting solutions to customers and managing Proof of Concept process Provide an ongoing communication with customers and internal teams by updating project plans, reports and requirements to communicate customer objectives Provide product feedback and suggestions via the appropriate internal communication channels Assist with management of internal team projects Required skills and qualifications: At least 3 years project management experience in full cycle software implementation or in information technology utilizing traditional and agile methodologies Proven track record of successfully delivering large scale IT projects within required quality standards Professional certification such as PMP or PRINCE2 Comprehensive understanding of project management principles including strategic project planning and risk management Excellent leadership skills with ability to influence and collaborate effectively at all levels of the organization Strong attention to details and organizational skills Proven problem solving skills and decision making abilities with results driven approach Customer focused with consultative approach and accountability attribution Solid stakeholder management experience with excellent communication and negotiation skills Proficiency with project management software and related tools such as: MS Project, Wrike, Attlassian, monday.com, Office Suite, Gantt chart, Lucid Chart, MS Visio, Experience in identification and optimisation of opportunities for process improvements and efficiencies within project management methodologies, incorporating Agile retrospectives for continuous learning Proficiency in English with other language a bonus Desired skills and qualifications: Experience in Change Management Certification in Agile project methodology and experience in Agile projects delivery Knowledge of lean approaches such as Lean Management, Scrum, Kanban and SAFe Cognizant of software development lifecycle Awareness of cloud computing concepts and security technologies services Demonstrated commitment to continuous learning Ability to achieve Security Clearance if required.

To join our expanding team, we are looking for a talented and experienced Kotlin Developer with PostgreSQL experience. The ideal applicant will be well-versed in the fundamentals of backend development and have a track record of developing scalable, high-quality applications. They will collaborate closely with our engineering team to create outstanding products that satisfy our users' expectations as they design, implement, and manage our Kotlin-based backend services. Technology stack: Kotlin , Java 17 JUnit, Spring Web, Spring Boot, and Spring Core PostgreSQL Gradle, Git AWS Being familiar with Docker and Angular will be beneficial. Responsibilities: Design, develop, and maintain backend services using Kotlin and Spring Boot Write clean, maintainable, and well-documented code Work with PostgreSQL databases to store and retrieve data Optimize database performance and scalability Collaborate with other engineers to design and implement new features Participate in code reviews and ensure the quality of the codebase Troubleshoot and resolve production issues Stay up-to-date with the latest Kotlin and Spring Boot technologies Qualifications: 2 - 5 years of experience developing Kotlin applications Strong understanding of Spring Boot and its ecosystem Experience with PostgreSQL databases Strong understanding of object-oriented programming principles Experience with RESTful APIs and microservices Excellent problem-solving and debugging skills Ability to work independently and as part of a team Excellent problem-solving and debugging skills Ability to work independently and as part of a team Excellent communication and collaboration skills

Key Responsibilities: Test Planning & Execution : Design and execute comprehensive test plans, test cases, and test scripts to ensure software meets specified requirements. Manual & Automated Testing: Perform both manual testing and implement automated tests (e.g., using Selenium, JUnit, TestNG, or similar tools) to validate software functionality. Bug Identification & Reporting: Identify, document, and track software defects or inconsistencies in bug tracking systems (e.g., Jira). Collaborate with developers to ensure timely resolution. Regression Testing: Perform regression testing to ensure that new code changes do not negatively impact the existing features of the product. Performance Testing: Conduct performance testing to assess the speed, scalability, and stability of the software. Collaboration with Development Teams: Work closely with developers, product managers, and business analysts to ensure test cases align with requirements and business goals. Continuous Improvement: Continuously assess testing processes and contribute to improvements that enhance efficiency, effectiveness, and coverage. Documentation: Create and maintain clear documentation of test cases, test results, and other QA-related artifacts for compliance and future reference. User Experience (UX) Evaluation : Participate in UX testing to ensure that the software meets usability standards and delivers a great user experience. Requirements: Bachelors degree in Computer Science Engineering, or a related field. Experience: Proven experience as a QA Engineer or similar role in software testing. Experience in both manual and automated testing is essential. Technical Skills: Familiarity with programming languages (e.g., Java, Python, JavaScript) to write automated tests. Proficiency in testing tools such as Selenium, Appium, LoadRunner, JUnit, TestNG, or similar. Knowledge of version control systems like Git. Experience with continuous integration tools (e.g., Jenkins, CircleCI). Understanding of bug tracking systems such as Jira, Bugzilla, or Trello. Familiarity with databases (e.g., SQL) to validate data integrity. Soft Skills: Excellent attention to detail and a passion for finding and resolving issues. Strong analytical and problem-solving skills. Ability to work collaboratively with cross-functional teams. Good communication skills for documenting test results and interacting with team members. Preferred Qualifications: Experience with performance and security testing. Knowledge of cloud-based systems and testing in cloud environments. Familiarity with Agile methodologies (e.g., Scrum, Kanban) and Agile testing practices. Familiarity with tools like Jira, TestRail, or Zephyr for test case management.

Key Responsibilities: Deployment Planning & Coordination : Plan, schedule, and coordinate the deployment of software releases, updates, and patches across multiple environments (e.g., staging, production). Build and Release Management : Manage the build, release, and version control processes. Work with development teams to ensure that software is packaged and ready for deployment. Automation of Deployment Processes : Develop and maintain automated deployment scripts using tools like Jenkins, Ansible, Chef, Puppet, or similar to streamline deployment workflows. Environment Management : Ensure that development, staging, and production environments are properly configured and maintained for deployments. Troubleshooting & Support : Monitor the deployment process, troubleshoot issues that arise, and provide timely resolutions. Work with developers to fix issues related to deployments. Collaboration : Collaborate with software developers, QA engineers, and IT operations teams to ensure successful integration of the deployment pipeline with development and testing activities. Documentation : Create and maintain detailed deployment documentation, including deployment procedures, release notes, and change logs. Post-Deployment Monitoring : Ensure that deployed applications are performing as expected and investigate any performance or functional issues that arise post-deployment. Risk Management : Identify potential deployment risks, prepare contingency plans, and ensure deployment best practices are followed to minimize downtime or system failures. Continuous Improvement : Continuously assess and improve deployment processes, tools, and methodologies to increase efficiency, reliability, and scalability of deployments. Requirements: Bachelors degree in Computer Science Engineering, or a related field. Proven experience as a Deployment Engineer or a related role with a focus on deployment automation, software delivery, or DevOps. Technical Skills : Proficiency in scripting languages (e.g., Bash, Python, PowerShell) for automating deployments. Experience with deployment automation tools (e.g., Jenkins, Ansible, Terraform, Chef, Puppet). Strong understanding of version control systems like Git. Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying applications. Understanding of continuous integration/continuous deployment (CI/CD) pipelines. Knowledge of system administration, networking, and infrastructure management. Soft Skills : Strong problem-solving and troubleshooting abilities. Ability to collaborate with cross-functional teams in a fast-paced environment. Attention to detail and the ability to follow deployment procedures. Good communication skills to document and explain deployment processes. Preferred Qualifications: Experience working in an Agile or DevOps environment. Knowledge of infrastructure-as-code (IaC) principles and tools (e.g., Terraform, CloudFormation). Familiarity with monitoring tools (e.g., Prometheus, Nagios, Datadog). Experience with microservices architecture and deploying microservices-based applications. Experience with container orchestration and cloud-native environments.

Key Responsibilities: Deployment Planning & Coordination : Plan, schedule, and coordinate the deployment of software releases, updates, and patches across multiple environments (e.g., staging, production). Build and Release Management : Manage the build, release, and version control processes. Work with development teams to ensure that software is packaged and ready for deployment. Automation of Deployment Processes : Develop and maintain automated deployment scripts using tools like Jenkins, Ansible, Chef, Puppet, or similar to streamline deployment workflows. Environment Management : Ensure that development, staging, and production environments are properly configured and maintained for deployments. Troubleshooting & Support : Monitor the deployment process, troubleshoot issues that arise, and provide timely resolutions. Work with developers to fix issues related to deployments. Collaboration : Collaborate with software developers, QA engineers, and IT operations teams to ensure successful integration of the deployment pipeline with development and testing activities. Documentation : Create and maintain detailed deployment documentation, including deployment procedures, release notes, and change logs. Post-Deployment Monitoring : Ensure that deployed applications are performing as expected and investigate any performance or functional issues that arise post-deployment. Risk Management : Identify potential deployment risks, prepare contingency plans, and ensure deployment best practices are followed to minimize downtime or system failures. Continuous Improvement : Continuously assess and improve deployment processes, tools, and methodologies to increase efficiency, reliability, and scalability of deployments. Requirements: Bachelors degree in Computer Science Engineering, or a related field. Proven experience as a Deployment Engineer or a related role with a focus on deployment automation, software delivery, or DevOps. Technical Skills : Proficiency in scripting languages (e.g., Bash, Python, PowerShell) for automating deployments. Experience with deployment automation tools (e.g., Jenkins, Ansible, Terraform, Chef, Puppet). Strong understanding of version control systems like Git. Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying applications. Understanding of continuous integration/continuous deployment (CI/CD) pipelines. Knowledge of system administration, networking, and infrastructure management. Soft Skills : Strong problem-solving and troubleshooting abilities. Ability to collaborate with cross-functional teams in a fast-paced environment. Attention to detail and the ability to follow deployment procedures. Good communication skills to document and explain deployment processes. Preferred Qualifications: Experience working in an Agile or DevOps environment. Knowledge of infrastructure-as-code (IaC) principles and tools (e.g., Terraform, CloudFormation). Familiarity with monitoring tools (e.g., Prometheus, Nagios, Datadog). Experience with microservices architecture and deploying microservices-based applications. Experience with container orchestration and cloud-native environments.

RESPONSIBILITIES: Perform advanced product presentations for customers and prospects. Transfer industry, technical, and product knowledge to customers. Perform customer needs assessments and discovery sessions. Provide responses for product and technical requests. Demonstrate an in-depth understanding of the company products, functions, features, and benefits. Provide training during POC and in sandbox environments. Review customer operations for improving business processes and identifying opportunities. Contribute to the success of various groups and functional teams beyond the sales organization. Actively collaborate with the Product Management and Marketing teams on a regular basis to provide information based on customer and industry interactions. Continuously demonstrate competency in Exterros products, roadmap, and the Data Risk Management industry. Understand relevant competitive solutions, products, and services. Participate at conferences, trade shows, and other events as requested by Management and Product Marketing. Join relevant user groups, industry groups, and similar organizations. Must be a highly motivated, strong team player who is open to new ideas. Willingness to travel 30-50% of the time. QUALIFICATIONS: 3 to 5 years sales engineering experience. Bachelors degree or relevant industry experience required. Superior presentation skills. Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification. Ability to work effectively on a remote basis. Requires an action-oriented individual with a very strong initiative to be successful.

Key Responsibilities: Design & Develop AI Models : Create and implement machine learning models and algorithms to solve business challenges. Data Processing & Analysis : Analyze large datasets, preprocess data, and apply statistical techniques to improve model accuracy. Deep Learning & NLP : Work with advanced AI techniques such as neural networks, reinforcement learning, and natural language processing to build intelligent systems. Model Optimization : Optimize models for performance, scalability, and efficiency using techniques such as hyperparameter tuning and model deployment. Collaboration : Collaborate with software engineers, data scientists, and business teams to integrate AI solutions into applications and platforms. Testing & Validation : Test and validate AI models, ensuring their effectiveness, and continuously improve them based on feedback and new data. Documentation : Write clear documentation for models, algorithms, and code to ensure maintainability and scalability. Research : Stay updated with the latest advancements in AI technologies and research to apply cutting-edge techniques. Required Skills and Experience: Model Hosting and Deployment: Strong experience with deploying and managing machine learning models in production environments. Server Infrastructure: Proficient in building and managing servers to host and serve models for scalable access. APIs: Expertise in developing and deploying RESTful APIs for model inference. Redis & Celery: Solid experience with Redis for caching and Celery for task management and background job processing. PostgreSQL: Strong knowledge of PostgreSQL for data management and querying in the context of ML applications. Model Repositories: Experience with version control and repositories for machine learning models, including integration with Git or similar platforms. Cloud Platforms: Experience with cloud services (e.g., AWS, GCP, Azure) for deploying and managing models at scale. Preferred Skills: Familiar with CI/CD pipelines for AI models to ensure automated testing, deployment, and updates. Experience with containerization technologies such as Docker and Kubernetes for deployment and orchestration. Familiarity with frameworks like TensorFlow Serving, TorchServe, or similar for serving models in production. Knowledge of model monitoring tools and logging frameworks. Ability to work in a fast-paced, collaborative environment with cross-functional teams. Knowledge in consumer and server grade GPU to handle CUDA compatability issues.

Do you have prior enterprise software sales experience or direct E-Discovery, Forensics or Privacy software experience? Does representing our entire market-leading suite of e-discovery, forensic, privacy and Legal GRC software products excite you? Do you excel at uncovering and closing enterprise opportunities at F2000 companies? If this sounds like your ideal career, we want to hear from you! In this client-facing role, you will be responsible for: Representing Exterros entire suite of e-discovery, privacy, digital forensics and Legal GRC software products. Uncovering Enterprise opportunities and aligning the clients future vision with Exterro’s differentiated capabilities. Focusing on the enterprise and public sector sale and large subscription deals where the sales cycle is deep, wide and complex. The location of this position is preferably in India. Key Responsibilities Duties and responsibilities include, but are not limited to: 1. Achieve quarterly and annual quotas as set forth by management. 2. Maximize sales productivity through consistent following of defined sales processes. 3. Remain educated and demonstrate competency on the growing E-Discovery, Privacy, Digital Forensics and Legal GRC marketplace and Exterro’s products and product roadmaps. 4. Develop effective relationships with partners to collaboratively drive additional revenue. 5. Keep Salesforce up-to-date and accurate at all times. 6. Contribute to all marketing campaigns as part of your strategy within the MEA territory. 7. Manage expense reports within the agreed upon terms set forth by management. 8. Actively participate in leadership meetings and interact with the Product and Marketing teams on a regular basis to enhance Exterro’s products and market position. 9. Represent Exterro at industry events. 10. Any other relevant tasks as assigned by management. Education & Experience Extensive experience in selling enterprise software to corporations, both IT and legal. Demonstrate a strong network in the Government, legal and corporate space. Basic understanding of contracts, terms and conditions and solid negotiation skills as well as strong closing skills. Ability to work remotely out of a home office. Ability to use Saleforce.com or other CRM tools. Understanding of responding to RFI and RFP’s. Driven by targets, ability to run fast and help a market leader extend its lead. Must be willing to travel 30-50% of the time. Must be a strong team player, open to new ideas, highly motivated with a positive attitude, coordinate well with marketing and national sales teams.

Duties and Responsibilities : Delivering a complete front-end application Ensuring high performance on mobile and desktop Writing tested, idiomatic, and documented JavaScript, HTML and CSS Coordinating the workflow between the graphic designer and yourself Cooperating with the back-end developer in the process of building the RESTful API Collaborate with the stakeholders, the users, the build team and other development partners to implement state-of-the-art user experiences. Collaborate with cross-functional teams to analyze, design, and ship new features Implement new technologies to maximize application performance Work with outside data sources and APIs Work on bug fixing and improving application performance Key Competencies & Skills Strong object-oriented JavaScript Flat box, material design concepts Angular Framework CSS pre-compilers like Sass and LESS Skills in one or more chosen frameworks/libraries like jQuery or Bootstrap AJAX (Asynchronous JavaScript and XML) HTML 5, CSS Modules, Web pack, Babel, npm, jQuery, jQueryUI, RequireJS, doT.js (Templating Engine) Understanding of java web application technology stack (core Java, spring core, Spring MVC, Hibernate, REST) Git/GitHub, Continuous integration using maven & Jenkins Integrate applications with network systems, servers and databases. Excellent conceptual, and critical thinking capabilities Self-directed and self-motivated with the ability to take charge or play a lead role Strong understanding of product development

Key Responsibilities: Front Desk Management : Greet and welcome visitors, clients, and employees with a professional and friendly demeanor. Direct them to appropriate personnel or departments. Phone & Email Management : Answer and direct incoming phone calls and emails to the appropriate team members. Take messages when necessary and ensure timely follow-up. Office Administration : Maintain the cleanliness and organization of the reception area. Ensure office supplies are stocked and notify management when replenishment is needed. Scheduling & Appointments : Manage meeting room bookings, and coordinate internal and external meetings for staff members, ensuring rooms are set up and prepared as needed. Visitor Management : Maintain a visitor log and ensure that all visitors sign in according to company protocols, issuing visitor badges when necessary. Support IT Team : Assist the IT team and other departments with administrative tasks such as coordinating tech setups for meetings, maintaining inventory of IT equipment, and providing basic assistance with software or system inquiries. Document Management : Handle incoming and outgoing mail, parcels, and deliveries. Maintain and organize office documentation and files, ensuring that confidential documents are stored securely. Communication & Coordination : Serve as a liaison between different departments, IT staff, and external stakeholders, facilitating smooth communication within the company. Event Coordination Support : Assist in organizing company events, such as meetings, training sessions, and team-building activities, ensuring that all logistical details are managed. Client Support : Provide basic assistance to clients or customers when they visit the office, ensuring their needs are met and maintaining a professional, customer-friendly environment. Miscellaneous Tasks : Perform other administrative and support tasks as required by management or team leaders. Requirements: Education : Any degree, additional certifications or training in office administration or customer service is a plus. Experience : Previous experience as a receptionist, front desk coordinator, or in an administrative support role, preferably in a professional or tech-related environment. Technical Skills : Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and Google Workspace (Docs, Sheets, Calendar). Familiarity with office equipment (e.g., printers, scanners, fax machines) and phone systems. Basic knowledge of IT terminology or systems is a plus but not required. Soft Skills : Excellent communication skills, both verbal and written, with a friendly, approachable demeanor. Strong organizational skills and ability to multitask in a fast-paced environment. Attention to detail and accuracy in administrative tasks. Ability to maintain confidentiality and handle sensitive information appropriately. Strong interpersonal skills to work effectively with employees, clients, and visitors. Preferred Qualifications: Experience in an IT or tech-related environment. Knowledge of scheduling tools or office management software. Basic troubleshooting skills or familiarity with technical support tasks is a plus.

Duties and Responsibilities : Delivering a complete front-end application Ensuring high performance on mobile and desktop Writing tested, idiomatic, and documented JavaScript, HTML and CSS Coordinating the workflow between the graphic designer and yourself Cooperating with the back-end developer in the process of building the RESTful API Collaborate with the stakeholders, the users, the build team and other development partners to implement state-of-the-art user experiences. Collaborate with cross-functional teams to analyze, design, and ship new features Implement new technologies to maximize application performance Work with outside data sources and APIs Work on bug fixing and improving application performance Key Competencies & Skills Strong object-oriented JavaScript Flat box, material design concepts Angular Framework CSS pre-compilers like Sass and LESS Skills in one or more chosen frameworks/libraries like jQuery or Bootstrap AJAX (Asynchronous JavaScript and XML) HTML 5, CSS Modules, Web pack, Babel, npm, jQuery, jQueryUI, RequireJS, doT.js (Templating Engine) Understanding of java web application technology stack (core Java, spring core, Spring MVC, Hibernate, REST) Git/GitHub, Continuous integration using maven & Jenkins Integrate applications with network systems, servers and databases. Excellent conceptual, and critical thinking capabilities Self-directed and self-motivated with the ability to take charge or play a lead role Strong understanding of product development

Exterro is currently seeking a highly motivated, organized and goal-oriented Solutions Engineer. In this role, you will be responsible for driving the adoption of our products. You will work closely with our Sales team and customers to understand their technical and business challenges and demonstrate how our products provide solutions. Responsibilities: Perform advanced product presentations for customers and prospects. Transfer industry, technical, and product knowledge to customers. Perform customer needs assessments and discovery sessions. Provide responses for product and technical requests. Demonstrate an in-depth understanding of the company products, functions, features, and benefits. Provide training during POC and in sandbox environments. Review customer operations for improving business processes and identifying opportunities. Contribute to the success of various groups and functional teams beyond the sales organization. Actively collaborate with the Product Management and Marketing teams on a regular basis to provide information based on customer and industry interactions. Continuously demonstrate competency in Exterros products, roadmap, and the Data Risk Management industry. Understand relevant competitive solutions, products, and services. Participate at conferences, trade shows, and other events as requested by Management and Product Marketing. Join relevant user groups, industry groups, and similar organizations. Must be a highly motivated, strong team player who is open to new ideas. Willingness to travel 30-50% of the time. Requirements and Qualifications: 5+ years sales engineering experience 5+ years of Law Enforcement or Forensics Bachelors degree or relevant industry experience required. Preferred Certifications: EnCE, CFCE, ACE, CISSP, CHFI Superior presentation skills. Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification. Ability to work effectively on a remote basis. Requires an action-oriented individual with a very strong initiative to be successful.

ML Engineer job profile Machine Learning is a field of artificial intelligence that focuses on developing systems that can learn and improve from experience. Machine Learning Engineers work on creating and implementing AI models and algorithms to solve complex problems. This role often involves working with large datasets, developing algorithms, and deploying models into production environments. ML Engineer job description We are seeking an enthusiastic and motivated Machine Learning Engineer with 1-3 years of experience to join our team. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining machine learning models with a focus on Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). You will use your skills and knowledge to tackle real-world challenges and contribute to the advancement of AI technology. ML Engineer duties and responsibilities Design, develop, and implement efficient and scalable machine learning models and algorithms Work closely with software engineers to integrate ML models into production systems Implement and optimize NLP algorithms and pipelines Optimize and fine-tune existing models for improved performance Contribute to the research and implementation of state-of-the-art GenAI techniques Participate in the full machine learning lifecycle, from data preparation to model deployment Collaborate with cross-functional teams to identify and solve complex business problems using AI Stay up-to-date with the latest advancements in ML, especially in GenAI, LLMs, and NLP Document your work, including model architectures, experiments, and results Must have skills C++ Programming: Proficiency in writing efficient, modular, and maintainable C++ code, including knowledge of advanced features such as templates, STL, and memory management, and implementation of data structures, algorithms, object-oriented programming principles, and design Visual Studio: Experience using Visual Studio IDE for C++ development, including project management, debugging, and performance profiling. VC++ : Background in Visual C++, including building applications for Windows platforms, integrating with Windows APIs, etc Database Management: Experience working with relational databases (e.g., SQL Server, MySQL) and proficiency in writing efficient SQL queries, database design, and optimization. Good to have skills File System Knowledge: Understanding of different file systems such as FAT (File Allocation Table), APFS (Apple File System), and NTFS (New Technology File System), and their structures, features, and limitations. Low-Level APIs: Familiarity with low-level APIs for system-level programming, including filesystem APIs, device drivers, and system calls. Understanding of memory management, I/O operations, and concurrency control at a low level.

Key Responsibilities: Data Analysis : Collect, organize, and analyze HR data, including employee demographics, performance metrics, turnover rates, and compensation. Reporting : Generate and maintain HR reports and dashboards to provide leadership with actionable insights on workforce trends, employee engagement, retention, and other key HR metrics. HR Metrics and KPIs : Track and measure key HR metrics (e.g., employee turnover, hiring rates, time to hire, diversity metrics) and provide recommendations based on data. Workforce Planning : Assist in workforce planning by analyzing current staffing levels, projecting future needs, and supporting strategic talent acquisition and retention efforts. Employee Surveys and Feedback : Support the design, distribution, and analysis of employee surveys (e.g., engagement surveys, satisfaction surveys) to identify areas for improvement. Compensation and Benefits Analysis : Conduct analyses on compensation and benefits trends, and provide recommendations to maintain competitive and equitable pay practices. HR System Management : Maintain and update HR systems (e.g., HRIS, payroll systems) to ensure accurate data tracking and reporting. Process Improvement : Identify inefficiencies in HR processes and propose data-driven solutions to improve HR operations and employee satisfaction. Compliance : Assist with compliance reporting related to labor laws, equal opportunity regulations, and other HR compliance requirements. Collaboration : Work closely with HR business partners, managers, and other departments to provide insights that inform HR strategies and decision-making. Training & Development Support : Support the analysis of training and development programs by evaluating program effectiveness and identifying training needs across the organization. Requirements: Education : Bachelors degree in Human Resources, Business Administration, Data Analytics, or a related field. Experience : Proven experience as an HR Analyst, HR Generalist, or in a similar HR-related role, with a focus on data analysis and reporting. Technical Skills : Proficiency in HRIS (Human Resources Information Systems) software (e.g., Workday, SAP SuccessFactors, ADP). Strong knowledge of Excel or other data analysis tools (e.g., Tableau, Power BI). Familiarity with HR analytics software and systems for tracking performance and HR metrics. Knowledge of labor laws, compensation trends, and HR best practices. Analytical Skills : Ability to analyze complex data, generate insights, and present findings in a clear and actionable way. Soft Skills : Strong communication and interpersonal skills to collaborate with HR team members, managers, and leadership. High attention to detail and accuracy. Strong organizational skills and ability to prioritize tasks effectively. Ability to maintain confidentiality and handle sensitive HR data. Preferred Qualifications: HR certifications are a plus. Experience with advanced data analysis tools or statistical software (e.g., R, SPSS). Experience in working with employee engagement tools and surveys. Knowledge of workforce planning and talent management strategies

The AM will serve as a subject matter expert for several operational systems within the organization and will ensure the data is accurate and up to date by working with - Sales and account owners - Multiple business units - External vendors and development partners This individual will be a tech enthusiast and will be adept in troubleshooting issues, critical thinking, managing shifting priorities, tight timelines, as well as developing and helping user adoption for multiple tools, platforms and new technologies. They will be willing and excited to learn multiple platforms and provide support on functions like Salesforce, contract management, RFP preparation pricing calculations. Responsibilities: Incident Response: Train, & support new and existing users Adoption: Become a subject expert on various new tools added to Exterro library Case management: Document best-in-class processes for application/platform success Contract Management: Support the contracts program including updating, launching and circulate new contracts plus Congasign support Ad Hoc reporting: Address specific business requests & support sales team with reporting RFP/InfoSec Questionnaire: Collaborate with internal and external stakeholders to ensure timely RFP and Information Security deliveries. RFP Automation experience. Example RFP360, Responsive Marketing Team support activities: Provide Tier 1 support to the marketing team including competitor/prospect analysis Salesforce.com: Maintain integrity of data in SF and ensure consistency exists within data Qualifications : Bachelors Degree (B.A. or B.S.); JD or other relevant advanced degree preferred. 5+ years of sales operations/ project management support experience with a keen understanding of the importance of various metrics and the impact to business model and process Highly analytical with the ability to translate complex requests into actionable results. Strong financial acumen and able to decipher and manipulate large, quantitative data Strong appetite and aptitude for performance and excellent self-management are required. Dynamic, persuasive presence with outstanding communication skills and ability to drive outcomes across levels and teams Strong problem-solving and critical-thinking skills and skilled at working effectively with matrixed, cross-functional teams. Ability to prioritize multiple initiatives while working in a fast-paced, global environment. Big-picture, Team-oriented, enterprise-focused mindset.

Business Analyst (BA), AI Team, Exterro R&D. Join our dynamic product team as a Business Analyst, playing a pivotal role in assisting Product Managers guide a team of AI Researchers to develop cutting-edge enterprise applications and enhance the profitability of existing products. Key Responsibilities: 1. Oversee the entire product life cycle, from strategic planning to tactical implementation. 2. Conduct market research, generate product requirements, and collaborate across teams to address end-user requirements. 3. Evaluate product lines, review specifications, and analyze market segments to contribute to strategic initiatives. 4. Analyze diverse market segments, stay informed about industry competitors, ad collaborate with leadership to develop strategic initiatives. Skills Required: 1. Strong analytical skills and a passion for product development. 2. Demonstrated empathy towards customer problems, translating insights into effective product solutions. 3. Structured thinking using qualitative and quantitative data to prioritize and formulate strategies. 4. Experience in product and business analytics, extracting KPIs from user-centric insights. 5. Employ evidence-based decision-making to construct successful product roadmaps. 6. Excellent people and management skills for effective collaboration. 7. Inquisitive mindset, proficient in professional communication. 8. Experience in scaling/building products within product-based companies. 9. Knowledge of AI, Machine Learning, and Deep Learning is advantageous. 10.Certification in SDLC, Scrum, or Product Management is an additional advantage. Shape the future of AI-based SaaS products with us, contributing to our commitment to delivering high-quality solutions.

Key Responsibilities Duties and responsibilities include, but are not limited to: 1. Manage the health of each client - from implementation forward, watching for any issues, concerns, problems that may lead to a lost customer. Identify, define, and escalate risk client issues. 2. Focus on customer renewal and retention by providing exemplary customer service through communication, knowledge sharing, assistance and growth. 3. Manage the renewal process for a high volume of assigned clients. 4. Maintain relationship with Channel partners 5. Generate a strong reference network by product and focus. 6. Track upsells and help promote the sales process. 7. Manage internal resources on behalf of the customer keen understanding of roles, departments and resources throughout the company. 8. Participate in user forums and client events. 9. Keep internal CRM tools up to date. 10. Drive client attendance at webcasts and other marketing events. 11. Drive client product adoption through developing in-depth knowledge of the Exterro product suite. Knowledge, Skills & Abilities Must have a high energy level, be self-motivated and have demonstrated creative problem-solving abilities, strong relationship skills and a flexible style. Knowledge of and understand the eDiscovery industry a plus. Familiar with Legal and IT functions around electronic data. Salesforce knowledge preferred. Ability to be client facing. Ability to adhere to KPIs. Superior relationship development and presentation skills. Excellent verbal, written and communication skills. Adaptive to new internal processes. Education & Experience Minimum of a Bachelors Degree. Minimum of 1 years experience in a Client Success account management role. Work Environment Office work environment in our Indian office

About the Job As part of the International Technical Engineering Team, and working closely with the US Professional Services team, this important role is responsible for remotely preparing customers environments for implementations, and performing installations, of Exterros FTK Suite of forensic products. You will be part of a team of 3-4 FTEs, reporting into the Implementation Team Manager (in CC) and you will work very closely with the International Technical Engineering team and US Professional Services Managers to ensure that all customers have a successful installation experience with Exterro. Responsibilities: Service Management: Follow the implementation process: Understand the architecture that is being presented to you by the Engineering team and ensure that you are fully versed on the underlying Exterro technologies, its resource utilisation, communication channels and storage requirements. Be able to create contemporaneous notes of the work you have performed and keep documentation for each customer environment up to date. Effectively report any issues with the software implementation process to your team, to enhance collaboration and refine the install process as and when new versions become available. Understand the use cases of the customer - you will take the FTK Bootcamp course so that you are able to understand how an upgrade process would take place. Be able to make sound judgments on when to escalate to your manager. Job requirements: Education in Bachelors of Engineering with Computer Science, Forensic Computing, Cyber Security or similar. Previous experience with Exterro products or ACE certification is preferred, but not required. Complexity of Work & Decision Making: Wide variety of duties requiring considerable judgment to work independently devising new methods, adapting or changing standard procedures to meet new conditions and making decisions guided by precedent and within the limits of established policies. Computer Skills: To perform this job successfully, an individual must have basic to intermediate working knowledge of: Storage solutions Windows Server SQL Server Architectural knowledge of major enterprise applications (operating systems, standard business applications, web-based applications, etc.) Network protocols, troubleshooting of Active Directory, DNS, TCP/IP, DHCP, IIS. Virtualization Knowledge of Linux and OSX would be a plus. Scripting language such as Python would be a plus. Network packet tools (Wireshark, Snort) would be a plus. Cloud Computing Principles (AWS, Azure) would be a plus. Strong knowledge of Forensic good practice, procedures, SOPs would be a plus. Language Skills: Must be able to demonstrate an ability to read, write and speak at a high level and comprehend complex environments and topics relating to Exterro Commercial Software. Ability to write reports, business correspondence and procedure manuals. Must be able to demonstrate the ability to effectively present information and respond to questions from management, clients or the general public.

Exterro is currently seeking a highly motivated, organized and goal-oriented Solutions Engineer. In this role, you will be responsible for driving the adoption of our products. You will work closely with our Sales team and customers to understand their technical and business challenges and demonstrate how our products provide solutions. Responsibilities : Perform advanced product presentations for customers and prospects. Transfer industry, technical, and product knowledge to customers. Perform customer needs assessments and discovery sessions. Provide responses for product and technical requests. Demonstrate an in-depth understanding of the company products, functions, features, and benefits. Provide training during POC and in sandbox environments. Review customer operations for improving business processes and identifying opportunities. Contribute to the success of various groups and functional teams beyond the sales organization. Actively collaborate with the Product Management and Marketing teams on a regular basis to provide information based on customer and industry interactions. Continuously demonstrate competency in Exterros products, roadmap, and the Data Risk Management industry. Understand relevant competitive solutions, products, and services. Participate at conferences, trade shows, and other events as requested by Management and Product Marketing. Join relevant user groups, industry groups, and similar organizations. Must be a highly motivated, strong team player who is open to new ideas. Willingness to travel 30-50% of the time. Requirements and Qualifications: 5+ years sales engineering experience 5+ years of experience in Privacy, Data Security, or Information Governance Bachelor’s degree or relevant industry experience required. Law degree preferred. Preferred Certifications: AIGP, CIPP, CIPM, CIPT, CISM, CISA Superior presentation skills. Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification. Ability to work effectively on a remote basis. Requires an action-oriented individual with a very strong initiative to be successful.

About the Job The Technical Support Engineer will be the first level point of contact for any technical issues raised by the clients for Exterro Fusion application. Responsible for acknowledging support tickets, providing first level / UI level troubleshooting guidance, validating fix provided by engineering team and coordinating with all Technical teams / Management teams and drive the issues to closure. This position is responsible to keep the clients updated on the open issues through regular follow-up and find a fix as per the SLA / priorities respectively. Technical Support Engineer will proactively report product issues to Product management and ensure addressing the same in subsequent code fix roll out. Responsibilities: Bachelor's Degree in Computer Science / Information Technology / Computer Technology / Computer Applications. 3 + years of IT experience, preferably product based experience and knowledge. Understanding of web applications and basics of SDLC. Customer facing support / Remote desktop support experience. Understanding of Incident Management / Change management. Experience with customer support ticketing tools. Exposure to Windows / Linux - desktop & server operating systems and enterprise applications suite. Qualifications: Flexible and adaptable to multiple shift timings. Good analytical skill, co-ordination, interaction, communication and implementation. Should be a team player and capable of self-learning. Strong written and verbal communication skills - must be able to create detailed, concise reports for client and management communications. Efficient in mail handling and conducting net meetings on the job.