Technology Telecoms jobs in India

As a Business Development and Sales Manager for Global Business, you spearhead strategic initiatives to identify, engage, and convert high-value prospects across international markets. You architect and execute market penetration strategies, co-create tailored solutions with clients, and ensure consistent achievement of sales and revenue goals.

Job Requirements
Education Bachelor's degree in business or related field is preferred
Relevant Experience * 2 years+ of experience in inventory demand planning * Proven track record in setting and achieving inventory short, medium and long-range inventory plans * Exceptional ability to communicate complex analytics in a clear, actionable manner to influence decision-making * Strong interpersonal skills to effectively collaborate with internal teams and external parties * Skilled in monitoring and measuring inventory demand planning performance against goals, with the ability to provide insights and make timely adjustments * Results-driven mindset with the ability to balance strategic planning and tactical execution Behavioural Skills * Delivery Excellence * Business Disposition * Social Intelligence * Innovation & Agility * Purposeful Leadership Technical Skills * Strong analytical skills with proficiency in inventory management software and tools (e.g., PDI, Relex) * Advanced proficiency in Excel and other data analysis tools; experience with visualization tools e.g., Power BI, Tableau etc. Knowledge * Data Analytics * Good knowledge in Power BI, MS Excel and Tableau

We are seeking a dynamic and highly skilled VP / Engineering Manager with a solid foundation in full-stack development to lead our engineering team. The ideal candidate will combine hands-on technical expertise with exceptional leadership skills to drive innovation, deliver scalable solutions, and ensure engineering excellence

You will lead all engineering efforts, responsible for setting the technology vision and roadmap for a product that is already well-adopted by some of the world's largest companies. This is a hands-on leadership role that requires strong technical expertise to drive the core product offering and explore new AI/ML-driven products.

- This role leads the design and execution of compensation and benefits strategies across MEA and APAC, ensuring market competitiveness, internal equity and compliance.

- It involves close collaboration with cross-functional teams to support reward decisions for product and tech talent.

- It will be a 5 days work from office role

- This role blends executive support, event management, and vendor coordination to drive smooth operations and deliver exceptional experiences.

- It offers high visibility, working closely with leadership while managing multiple priorities and representing the organization's culture.

CYBER DEFENSE CENTERDetection & Response

• Is responsible for managing all Monitoring and Security Operations Center (SOC) as well as CSIRT (Computer Security Incident Response Team).
• Ensure security events of all critical applications are properly collected by SIEM.
• Ensure security incidents are identified in a timely manner and properly managed.
• Oversee incident response plan and ensure its alignment with business resilience plan, disaster recovery and business impact analysis.
• Collaborate with Group Head of Cyber-resilience to support the disaster recovery plan, as well as the crisis management

Threat Intelligence & Vulnerability Management

o Collecting detailed, actionable threat information for preventing and fighting cybersecurity threats targeting an organization.

o Ensure performance of proper threat monitoring to identify threat impacting l'Oréal and ensure proper communication to impacted teams.

o Ensure vulnerabilities are identified, monitored and perform remediation follow-up. Ensure efficiency of the security scanning and code reviews of applications.Fraud Management

• Provide security services to enhance the protection of brand in the digital space

Offensive security

• Provide ethical hacker and red teaming capabilities for the whole group.
• Provide guidance's regarding Penetration testing and red teaming activities.
• Ensure follow-up of all ethical hacking activities at Group level.

CYBER CRISIS MANAGER



The cybersecurity crisis manager works closely with CSIRT teams.

It analyzes the scope of the cyber crisis, coordinates the necessary actions to resolve the cyber crisis and coordinates the teams to implement decided recommendations.

It advises the business units to manage cyber crisis.

He organizes the organization's capacity to face new threats in terms of cybersecurity.· Advise the organization to have a capability to manage cyber crisis

· Define the necessary means for cyber crisis management: plans, procedures, resources, tools,etc.

· Verify that all elements of cyber crisis preparedness are present

· Ensure the training and education of business and support staff likely to intervene in the event of a cyber crisis ; test and validate the organization's ability to react to an attack

· Organize the management to act and deal with the cyber crisis

· Leading the decision-making cyber crisis cell and contributing to the operational cyber crisis cells

· Coordinate the action of the various parties involved and the dissemination of information to stakeholders

· Monitor and coordinate action plans for investigation and remediation

· Ensure relations with the authorities, insurance companies and any external experts

· Ensure the consistency of the cyber crisis communication strategy with stakeholders

· Organize post-mortem reviews and feedback to follow up on incidents and propose improvements to prevention, detection and response systems

Job Description:

* Working in a highly innovative test automation team, dedicated to implementing next generation IT testing and quality assurance, supporting the innovation and digitalization of the company.

* Supporting and enhancing test automation for SAP and non-SAP business processes using TOSCA, with a focus on improving test coverage, stability and reusability.

* Collaborate with cross-functional, international teams of developers, product owners and business users to align testing efforts with product goals and user expectations.

* Provide consulting and support in the design and execution of testing strategies and plans.

Job Location: Bengaluru, India

Job Level: Professional

Experienced -3- 4 years

Level of Education: BE/BTech

Qualifications

* Holds a B.E./B.Tech degree, with over 4 years of hands-on experience in software testing across diverse domains.

* Mandatory: Design, develop and maintain robust test automation scripts using TOSCA for SAP and non-SAP applications, ensuring end-to-end automation coverage.

* Knowledge of implementing script-based automation solutions leveraging Python and frameworks such as PyTest or Robot Framework to support diverse application testing needs will be beneficial.

* Knowledge of designing continuous testing pipelines integrated with CI/CD tools (e.g., Jenkins, GitLab CI) for test execution and reporting will be advantageous. * Knowledge of Agile-aligned test design techniques and modern testing methodologies.

* Apply core testing principles including test planning, test case design, boundary value analysis, equivalence partitioning and regression testing. * Ensure compliance with quality standards, security policies, and organizational guidelines during test execution and reporting.

* Known for strong analytical thinking, a collaborative mindset, and the ability to work independently with a proactive learning attitude.

* Brings a customer-focused and quality-conscious approach to all testing efforts, aligning with business goals and user expectations.

Qualifications

⎯ Bachelor's degree in Computer Engineering, Computer Science or related discipline, Master's Degree preferred.

⎯ 3+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment.

⎯ 3+ years of experience with setting up and operating data pipelines using Python or SQL

⎯ 3+ years of advanced SQL Programming: PL/SQL, T-SQL

⎯ 3+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization.

⎯ Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads. ⎯ 3+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data

⎯ 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions.

⎯ 3+ years of experience in defining and enabling data quality standards for auditing, and monitoring.

⎯ Strong analytical abilities and a strong intellectual curiosity.

⎯ In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts

⎯ Understanding of REST and good API design.

⎯ Strong collaboration, teamwork skills, excellent written and verbal communications skills.

⎯ Self-starter and motivated with ability to work in a fast-paced development environment.

⎯ Agile experience highly desirable.

⎯ Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools.Preferred Skills:

* Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management).

* Strong working knowledge of Snowflake, including warehouse management, Snowflake SQL, and data sharing techniques.

* Experience building pipelines that source from or deliver data into Snowflake in combination with tools like ADF and Databricks.

* Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools.

* Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance).

* Hands on experience in Databases like (Azure SQL DB, MySQL/, Cosmos DB etc.), File system (Blob Storage), Python/Unix shell Scripting.

* ADF, Databricks and Azure certification is a plus.

• Develop and maintain backend services using Java, Springboot, and Microservices, ensuring high performance, scalability, and robustness of the applications.
• Work on server-side logic, databases, APIs, and other backend components to deliver end-to-end functionality.
• Utilise microservices architecture to design, develop, and deploy scalable and maintainable backend systems.

Looking for a Sr AI Engineer having expertise of working in LLM and advace AI skillsets including RAG, GAN etc. Having experience in designing and implementing AI/ML algorithms and models.

As a Pre-Sales Engineer, you'll be the product expert, partnering with the sales team to showcase the value of Digital Adoption Platform to enterprise clients. You'll lead technical discovery, deliver impactful demos, run proof of concepts, and provide consultative support throughout the sales cycle. This role is ideal for someone with strong pre-sales and web development experience in HTML, CSS OR Javascript.

This role focuses on creating and optimizing high-quality, SEO-driven content based on user intent and business goals. It involves research, writing, publishing, and collaborating with marketing and technical teams.

Founding Marketer for early stage SaaS firm.This is a 5 days WFO & Saturdays WFH role.

The Solution Architect will design and implement robust technology solutions tailored to meet the needs of the insurance industry. This temporary role requires a strong understanding of system architecture and a focus on delivering scalable and efficient solutions.

Qualifications

• Bachelor's or master's degree in computer science, or a comparable field.
• 5 to 8 years of experience working in frontend development with web-based applications.
• Expertise in backend technologies like C#/.NET Core.
• Expertise in databases (SQL and NoSQL), such as Azure SQL and Cosmos DB.
• Expertise in Microsoft Azure platform, in particular with Azure App Services, Azure Functions and Azure SQL.
• Experience with front-end technologies such as JavaScript/TypeScript and Angular.
• Experience of working in an agile development team (E.g. Scrum).
• Experience with unit testing, automated testing, and continuous integration/continuous delivery (CI/CD).
• High degree of personal responsibility and analytical skills to solve complex challenges.
• Quick thinking, positive attitude, and excellent collaboration skills.
• Strong motivation and enthusiasm for professional development and visual appealing frontends.
• Goal and results oriented.
• Team player and ability to work in a multicultural and multinational environment.
• Unconventional thinking, creativity, and a willingness to continuously improve.
• Flexible, adaptable, open to change and the acquisition of new knowledge and skills.

Job Description:

• Development and maintenance of our software components of our SaaS product, in particular APIs and microservices.
• Development and optimization of backend systems in the Microsoft Azure Cloud using Azure App Services, Azure Functions, Azure SQL, and other Azure services.
• If possible, take over frontend dev tasks as part of a full stack developer.
• Active participation in code reviews, ensuring unit tests and fixing bugs to ensure high code quality and stability.
• Working closely with the development team, the product owner, and the DevOps team in an agile environment.
• Ensure clean technical documentation for all developed features and APIs.

Job location: Bengaluru, India

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

Qualifications

* Bachelor's or master's degree in computer science, or a comparable field.

* 5 to 8 years of experience working in frontend development with web-based applications.

* Expertise in frontend technologies like HTML, CSS and JavaScript.

* Expertise in working with Blazor framework.

* Expertise in backend technologies like C#/.NET 8.0.

* Good knowledge of RESTful APIs and web services.

* Solid understanding of OOP and design patterns.

* Mathematical knowledge, particularly in geometry to support the development of CAD interface.

* Experience of working in an agile development team (E.g. Scrum).

* High degree of personal responsibility and analytical skills to solve complex challenges.

* Quick thinking, positive attitude, and excellent collaboration skills.

* Strong motivation and enthusiasm for professional development and visual appealing frontends.

* Goal and results oriented.

* Team player and ability to work in a multicultural and multinational environment.

* Unconventional thinking, creativity, and a willingness to continuously improve.

* Flexible, adaptable, open to change and the acquisition of new knowledge and skills.Job Description:

* Design, develop and maintain the web application Fluid Draw web and fluidsim.festo.com using .Net 8.0 and Blazor framework.

* Maintain and extend the CAD interface [Drawing area]

* Implement new features and optimize existing functionalities for performance and usability.

* Ensure code quality through testing, code reviews and adherence to best practices.

* Collaborate with cross-functional teams and support PO to gather and analyze requirements.

* Participate in architectural discussions and contribute to the overall design of the application.

* Troubleshoot and resolve issues in a timely manner.Job Location: Bengaluru, India

Job Level: Experienced Professionals - 5+ years

Level of Education: BE/BTech

Job Type: Full-Time/Regular

Role Summary The Zone Network and Security Project Manager will be responsible for the co-ordination of designing, implementing, and maintaining secure IT infrastructure solutions. The role's main responsibility is to ensure the organization's IT systems remain resilient, compliant, and aligned with business objectives. The ideal candidate will have a strong technical background in network engineering and cybersecurity coupled with hands-on experience in project management and cross-functional collaboration. Experience with retail and cloud infrastructure a plus.Key Responsibilities

Project Management

• Lead network and system migration projects.
• Collaborate with suppliers and stakeholders, including Retail IT, to design and test IT infrastructure solutions.
• Ensure timely delivery and successful execution of IT and security projects.

Network Engineering and Security

• Advise and co-ordinate the design, configuration, and management of company network security infrastructure (e.g., Meraki, Fortinet, Zscaler).
• Lead the implementation and maintenance of secure WAN solutions (ADSL, MPLS, SD-WAN).
• Develop and enforce security compliance measures, including IPSec VPN management.
• Support global connectivity solutions, such as Meraki, Cloudi-fi, and Zscaler.
• Design, implement, and manage Zscaler Private Access (ZPA) solutions for secure remote access to internal applications across our 3500 retail stores in the Zone.
• Configure and optimize Zscaler Secure Internet Access (ZIA) policies for web security, threat prevention, and data loss prevention for our 3500 retail stores in the Zone.
• Troubleshoot and resolve issues related to Zscaler ZPA and ZIA deployments, ensuring optimal performance and security.

Cloud Infrastructure and Automation

• Working knowledge of cloud-based systems in Azure and AliCloud, including AAD server migrations.

Cybersecurity and Compliance

• Implement and support data loss prevention (DLP) tools such as CrowdStrike.
• Lead cybersecurity IT training where needed.

IT Systems Administration

• Monitor and maintain system performance using tools like ThousandEyes.
• Strong analytical skills and high proficiency in using PowerBI and Excel.

Collaboration and Support

• Manage access controls using SharePoint.
• Provide project workflow customization and ServiceNOW and Confluence knowledge base access management.
• Support cross-functional teams with IT tools, meeting room setups, and collaboration platforms (Teams, SharePoint, ServiceNOW, Confluence).

Qualifications and Skills

Technical Certifications (bonus but not required)

• CCNP (Cisco Certified Network Professional).
• PMP (Project Management Professional).
• Zscaler Certifications (e.g., Zscaler Certified Administrator, Zscaler Certified Professional) are a significant plus.

Technical Expertise

• Proficient in network technologies: Cisco Meraki, Palo Alto Firewalls.
• Strong skills in cloud technologies: Azure, AliCloud.
• Advanced knowledge of cybersecurity tools: CrowdStrike, CyberArk.
• Extensive hands-on experience with Zscaler, specifically Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) modules.

Preferred Experience

• 5+ years of experience in network engineering and cybersecurity roles.
• Proven track record in IT infrastructure management and cloud migration projects.

Demonstrated experience in deploying, configuring, and maintaining Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) in an enterprise environment, particularly within a large-scale retail contextLocation- Hyderabad

Mode- Hybrid, 3 Days WFO

Qualifications & Required Skills: Full-Time

bachelor's or master's degree in engineering/technology, computer science, information technology, or related fields.

 10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.

 8+ years of experience in data engineering development and support.

 3+ years of experience in leading technical team of data engineers and BI engineers  Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools.

 Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks.

 Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.

 Strong communication, interpersonal, collaboration skills along with leadership capabilities.

 Ability to work effectively in a fast-paced, dynamic environment as cloud SME.

 Act as single point of contact for all kinds of data management related queries to make data decisions.

 Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.

 Conduct continuous audits of data management system performance and refine where necessary.

 Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.

 Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.

 Ensure data privacy measures comply with regulatory standards.Preferred

* Azure Data Factory (ADF), Databricks certification is a plus.

* Data Architect or Azure cloud Solution Architect certification is a plus.Technologies we use: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake

Job Requirements Education

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience

*3 - 4 years for Data Scientist

* Relevant working experience in a data science/advanced analytics role Behavioural Skills

*Delivery Excellence

*Business disposition

*Social intelligence

*Innovation and agility Knowledge

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

*Statistical modelling using Analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

*Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

*Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

*Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

*Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

*Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)

Location- Gurgaon

Be the driving force behind revenue growth at a cutting-edge Series A startup revolutionizing document automation with AI. As a remote Account Executive, you'll own the entire sales process to win mid-market and enterprise clients across the US and fuel our rapid expansion.

The Product Owner - CTS will drive the development and delivery of software solutions, ensuring alignment with business priorities and customer needs. This role is ideal for someone with a strong background in technology and telecoms, particularly within the software industry.

This position is ideal for a professional with expertise in corporate legal matters, ready to contribute to a leading organization in the technology and telecoms industry.

Candidates with 2 to 8 years of experience from Real estate experience working in Warehousing leasing, Real estate industry should apply

Lead the design and execution of enterprise-wide Knowledge Management strategy, integrating advanced tools, content governance, and analytics to enhance IT service delivery and innovation. Build and maintain knowledge infrastructure, foster a culture of knowledge sharing, ensure compliance, and drive stakeholder engagement, training, and change management to maximize knowledge asset value and business impact.

Our client- a high-growth AI SaaS company is seeking a strategic and hands-on Head of Human Resources to lead its people function. This is a self-starter role, ideal for a senior HR professional who can independently build and scale HR systems, processes, and culture in a dynamic, fast-paced environment.

This role requires a skilled HRBP to partner with business leaders in the Technology industry, ensuring alignment between HR strategies and organisational goals. The ideal candidate will focus on driving talent management, employee engagement, and workforce planning initiatives.