About Company Largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. Experience 4 - 8 Years Must Have Graduate or postgraduate degree in marketing, business, or related fields. 4–8 years of experience leading growth initiatives for B2B SaaS products. Demonstrated ability to drive revenue growth through data-driven strategies. Experience with growth hacking and a strong experimentation mindset. Technical skills: Able to write SQL and use tools like Zapier, Clay, Google Analytics, Apollo, etc. Strong analytical capabilities with experience interpreting product usage data. Active interest in AI tools and trends. Experience collaborating with Sales and RevOps teams. Strong communication, attention to detail, and documentation skills. Job stability is important (min 2 years in an organisation). Role Responsibilities Own product growth for one of AI Platforms. Create and execute on a comprehensive growth marketing plan that aligns with the B2B AI Platform's overall revenue goals. Build out a high-quality and economical acquisition channel portfolio to grow our lead pool, warm them up, and stimulate conversions. Identify and execute on product-led growth initiatives to drive lead volume and quality and work independently and self-sufficiently to test new initiatives including landing pages, microsites, forms, catalogs, savings calculators, etc. Work on ABM campaigns via building lead prospecting strategy, tech tools, and implementation used by the BDR team. Includes the process of creating, testing, and deploying prospecting sequences. Build content strategy across emails, thought leadership, whitepapers, socials (if required) and get it executed while monitoring performance. Build dashboards for reporting data to derive insights and to take decisions. Work cross functionally to drive alignment and develop strong relationships within growth marketing, sales, cx, design, webflow, product, and engineering. Build a culture of consistent, focused experimentation and optimization to improve channel performance. Specific Requirements 4-8 years experience with building and running growth initiatives for a B2B SaaS products. Proven track record of driving significant revenue growth through data-driven growth marketing strategies. Experience with growth hacking techniques and a willingness to experiment with new strategies. Technical Skills: You can write SQL. And have become a power user of tools like zapier/clay/google analytics/apollo/etc. Analytical Expertise: Strong ability to interpret product usage data and translate insights into actionable strategies. Be an AI enthusiast: Stay on top of the new tools emerging and trends taking place to take informed decisions across your growth channels. Collaboration: Proven track record of working closely with sales and RevOps teams to drive shared outcomes. Excellent communication, strong attention-to-detail, and detailed documentation is expected at work. Graduate or postgraduate degree in marketing, business, or related fields. Skills: growth initiatives,revenue,apollo,growth marketing,collaboration,b2b saas,attention to detail,growth hacking,google analytics,b2b,zapier,sql,communication,data-driven strategies,clay,saas,analytical skills Show more Show less

About Company We provide companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations. By embedding fact-based decision-making into daily operations, we optimize processes and outcomes. Experience 3 to 10 Years Required Qualifications: Data Engineering Skills 3–5 years of experience in data engineering, with hands-on experience in Snowflake and basic to intermediate proficiency in dbt. Capable of building and maintaining ELT pipelines using dbt and Snowflake, with guidance on architecture and best practices. Understanding of ELT principles and foundational knowledge of data modeling techniques (preferably Kimball/Dimensional). Intermediate experience with SAP Data Services (SAP DS), including extracting, transforming, and integrating data from legacy systems. Proficient in SQL for data transformation and basic performance tuning in Snowflake (e.g., clustering, partitioning, materializations). Familiar with workflow orchestration tools like dbt Cloud, Airflow, or Control M. Experience using Git for version control and exposure to CI/CD workflows in team environments. Exposure to cloud storage solutions such as Azure Data Lake, AWS S3, or GCS for ingestion and external staging in Snowflake. Working knowledge of Python for basic automation and data manipulation tasks. Understanding of Snowflake's role-based access control (RBAC), data security features, and general data privacy practices like GDPR. Key Responsibilities Design and build robust ELT pipelines using dbt on Snowflake, including ingestion from relational databases, APIs, cloud storage, and flat files. Reverse-engineer and optimize SAP Data Services (SAP DS) jobs to support scalable migration to cloud-based data platforms. Implement layered data architectures (e.g., staging, intermediate, mart layers) to enable reliable and reusable data assets. Enhance dbt/Snowflake workflows through performance optimization techniques such as clustering, partitioning, query profiling, and efficient SQL design. Use orchestration tools like Airflow, dbt Cloud, and Control-M to schedule, monitor, and manage data workflows. Apply modular SQL practices, testing, documentation, and Git-based CI/CD workflows for version-controlled, maintainable code. Collaborate with data analysts, scientists, and architects to gather requirements, document solutions, and deliver validated datasets. Contribute to internal knowledge sharing through reusable dbt components and participate in Agile ceremonies to support consulting delivery. Skills: sql,ci/cd,dbt,data engineering,azure data lake,gcs,git,ci,sap data services,airflow,aws s3,snowflake,python Show more Show less

About Company Provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Data Engineering Manager Experience: 8 to 12 Years Experience Candidates Should Bring 8 to 12 years of data engineering experience with at least 3 years in a managerial role within a consulting or professional services environment. Proven experience in managing multiple, complex data engineering projects simultaneously. Experience in leading a team of 8 to 12 professionals. Strong problem-solving skills and the ability to handle complex, ambiguous situations. Exceptional project management skills, with experience in Agile methodologies. A client-service mindset and a desire to take on tough and challenging projects. Effective communication skills, both written and verbal. Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment. About The Role This position requires someone with good problem solving, business understanding and client presence. Overall professional experience of the candidate should be above 8 years. A minimum of 5 years of experience in leading and managing a client portfolio in Data Engineering space. Should have good understanding of business operations, challenges faced, and business technology used across business functions. Key Responsibilities Client Engagement & Relationship Management: Serve as the primary point of contact for clients on data engineering projects, understanding their needs, challenges, and goals. Develop and maintain strong client relationships, ensuring high levels of client satisfaction and repeat business. Translate client requirements into actionable technical solutions and project plans. Project Management & Delivery Oversee the delivery of data engineering projects from inception to completion, ensuring projects are delivered on time, within scope, and within budget. Manage project resources, timelines, and risks, ensuring smooth project execution and delivery. Collaborate with cross-functional teams including data scientists, business analysts, and IT professionals to deliver comprehensive data solutions. Technical Leadership & Innovation Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs. Stay abreast of industry trends, technologies, and best practices, and implement them in client projects to drive innovation and competitive advantage. Provide technical oversight and guidance to the data engineering team, ensuring the adoption of best practices and high-quality output. Team Leadership & Development Lead, mentor, and manage a team of data engineers, fostering a collaborative and high-performance culture. Provide professional development opportunities, coaching, and career growth support to team members. Ensure the team is equipped with the necessary skills and tools to deliver high-quality consulting services. Data Governance & Quality Assurance Implement and oversee data governance frameworks, ensuring data integrity, security, and compliance across all client projects. Establish and enforce data quality standards, ensuring the reliability and accuracy of data used in client solutions. Skills: agile methodologies,management,data governance,data architecture,leadership,technical leadership,project management,data engineering,client engagement,team leadership,data quality,projects Show more Show less

About Company provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes Experience: 7 to 10 Years Qualifications Must Have: Experience in handling team members Proficiency in working with cloud platforms (AWS, Azure, GCP) Experience in SQL, NoSQL, and Data Modelling Experience in Python programming Experience in Design, Development, and Deployment of Data Architecture Experience 8+ years of experience in data engineering with hands-on expertise in data pipeline development, architecture, and system optimization Demonstrated success in managing global teams, especially across US and India time zones. Proven track record in leading data engineering teams and managing end-to-end project delivery. Strong background in data warehousing and familiarity with tools such as Matillion, dbt, Striim, etc. Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt Expertise in architecting data solutions. Successfully implemented at least two end-to-end projects with multiple transformation layers. Technical Skills Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs Expertise in programming languages such as Python, Scala, or Java. Proficiency in designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift), using various ETL/ELT tools such as Matillion, dbt, Striim, etc. Solid understanding of database systems (relational and NoSQL) and data modeling techniques. Strong knowledge of data engineering and integration frameworks. Good grasp of coding standards, with the ability to define standards and testing strategies for projects. Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services. Enthusiastic about working in Agile methodology. Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines. Skills: integration,agile methodology,etl/elt tools (matillion, dbt, striim),ci/cd,data modeling,aws,ci/cd pipelines,data modelling,github,cloud platforms (aws, azure, gcp),data warehousing,striim,team management,data architecture design,data pipeline development,architecture,database systems,etl/elt tools,devops,scala,nosql,matillion,python,team leadership,data architecture design and development,data engineering,sql,redshift,data integration,dbt,java,pipelines,snowflake,devops processes,python programming,azure Show more Show less

About Company provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes Experience: 7 to 10 Years Qualifications Must Have: Experience in handling team members Proficiency in working with cloud platforms (AWS, Azure, GCP) Experience in SQL, NoSQL, and Data Modelling Experience in Python programming Experience in Design, Development, and Deployment of Data Architecture Experience 8+ years of experience in data engineering with hands-on expertise in data pipeline development, architecture, and system optimization Demonstrated success in managing global teams, especially across US and India time zones. Proven track record in leading data engineering teams and managing end-to-end project delivery. Strong background in data warehousing and familiarity with tools such as Matillion, dbt, Striim, etc. Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt Expertise in architecting data solutions. Successfully implemented at least two end-to-end projects with multiple transformation layers. Technical Skills Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs Expertise in programming languages such as Python, Scala, or Java. Proficiency in designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift), using various ETL/ELT tools such as Matillion, dbt, Striim, etc. Solid understanding of database systems (relational and NoSQL) and data modeling techniques. Strong knowledge of data engineering and integration frameworks. Good grasp of coding standards, with the ability to define standards and testing strategies for projects. Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services. Enthusiastic about working in Agile methodology. Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines. Skills: sql,data integration,matillion,redshift,nosql,java,data architecture design,devops,aws,data warehousing,azure,architecture,data pipeline development,agile methodology,pipelines,etl/elt tools,ci/cd,dbt,data engineering,integration,team management,scala,data modeling,striim,github,cloud platforms (aws, azure, gcp),snowflake,python Show more Show less

Experience 4 - 8 Years Must Have 4+ years of strong experience in Technical Illustrator and writing, majorly looking for illustration experience only Domain experience in Automotive, Agriculture, or Mechanical industries (recent experience) Hands-on experience with at least two of the following tools: Arbortext (preferred) Creo View ISO Draw (preferred) CorelDRAW Technical Publications Background We need someone from Technical Publications background preferably with off highway/automotive/agriculture domain. Profiles with engineering design are not suitable. Roles & Responsibilities Create and revise Parts Lists in the Parts Catalogs for automotive, agriculture and construction equipment Creating exploded view artworks associated Produce complete, clear and accurate parts catalogs content as per customer standards and guidelines Processing of information and data (engineering documents, changes, etc.) from Engineering, Manufacturing, Parts Marketing, Customer Service, Parts Warehouse, and Suppliers Educational Qualification B.E/B.Tech/Diploma in Mechanical/Automobile/Electrical Engineering Required Skills 3-7 years of experience in developing the Parts Catalogs for automotive products and systems Should be well-versed with Arbortext Editor, IsoDraw, CreoView, Windchill Should have sound knowledge in automotive parts and their applications Should be able to understand Mechanical Drawings, 3D Models and Orthographic Projections Should be a quick learner and should be able to work independently with a minimum supervision Should have good communication skills Should have good customer handling skills Mandatory Skills Technical Illustrator (IPC), Arbortext, Creo View, Creo, ISO Draw, Automotive Industry, Technical Illustrator, 2D Illustration, CorelDRAW Skills: creo view,technical illustration,technical illustrator,arbortext,automotive industry,2d illustration,creo,coreldraw,technical writing,agriculture,automotive,draw,iso draw Show more Show less

Experience: 9 to 12 Years Must Have Experience in Python Team handling experience Experience in ETL/data warehouse testing (DBT/Informatica, Snowflake, SQL) Requirements 8-11 years of expertise in STLC, defect management, test strategy designing, planning, and approach. Should have experience with test requirement understanding, test data, test plan, and test case designing. Minimum 6+ years of work experience in UI, database, ETL testing. Experience in ETL/data warehouse testing (DBT/Informatica, Snowflake, SQL). Any experience with AWS/cloud hosted applications is an added advantage. Hands-on experience in writing database queries (preferably in PostgreSQL, Snowflake, MySQL, RDS). 3+ years of experience with automation scripts execution, maintenance, and enhancements with Selenium WebDriver (v3+)/Playwright, with programming experience in Python (must) with BDD – Gherkin and Behave, Pytest. Strong analytical, problem-solving, communication skills, collaboration, accountability, stakeholder management, passion to drive initiatives, risk highlighting, and team leading capabilities. Proven team leadership experience with a minimum of 2 people reporting. Experience with Agile methodologies, such as Scrum, Kanban. MS Power BI reporting. Front-end vs back-end validation – good to have. Responsibilities Perform lead role in ETL testing, UI testing, database testing, and team management. Understand the holistic requirements, review and analyze stories, specifications, and technical design documents and develop detailed test cases and test data to ensure business functionality is thoroughly tested – both automation and manual. Validate ETL workflows, ensuring data integrity, accuracy, and the transformation rules using complex Snowflake SQL queries. Working knowledge on DBT is a plus. Create, execute, and maintain scripts on automation in BDD – Gherkin/Behave, Pytest. Experience in writing database queries (preferably in PostgreSQL, Snowflake, MySQL, RDS). Preparation, review, and update of test cases and relevant test data consistent with system requirements including functional, integration, regression, and UAT testing. Coordinate with cross-team subject matter experts to develop, maintain, and validate test scenarios to the best interest of that POD. Taking ownership of creating and maintaining artifacts on test strategy, BRD, defect count/leakage report, and different quality issues. Collaborate with DevOps/SRE team to integrate test automation into CI/CD pipelines (Jenkins, Rundeck, GitHub, etc.). Guide a team of at least 4 testers, lead by example, institutionalizing best practices in testing processes and automation in agile methodology. Meet with internal stakeholders to review current testing approaches, provide feedback on ways to improve/extend/automate along with data-backed inputs and provisioning senior leadership with metrics consolidation. Maximize the opportunity to excel in an open and recognized work culture. Be a problem solver and a team player. Skills: selenium webdriver,python,bdd,behave,ui testing,postgresql,pytest,etl testing,snowflake,testing,data warehouse testing,agile methodologies,ms power bi,mysql,automation scripting,playwright,sql,dbt,agile,rds,gherkin,etl,automation,informatica,aws Show more Show less

Experience: 8 to 14 Years Must Have Experience in Oracle EBS and ERP implementations Capable & willing to work on US Time shift Experience in Oracle GL, FA for Implementation and Support role Implementation projects experience Job Qualifications 8-10 years’ experience implementing and/or supporting Oracle GL, FA. 3+ years of Oracle Cloud production support experience is required. 3+ years prior experience with Oracle Cloud Financials, with 2-3 full-lifecycle implementations is preferred. Expertise in: Oracle Cloud GL Oracle Cloud EPM – ARCS, FCCS, EDMCS This position will provide functional support for the Oracle Cloud GL and Oracle EPM modules – ARCS, EDMCS and FCC . The ability to communicate effectively with business users as well as prepare documentation for requirements, application configurations, test scripts, training material and functional specifications is essential for this position. In addition to providing day-to-day support, this position will be expected to take the lead on rolling out new enhancement requests for GL and EPM modules. Extensive Oracle cloud experience for these modules is required along with strong analysis and problem-solving skills. A proven track record of working on supporting complex systems in a fast-paced environment is essential. Job Responsibilities Provide user functional support for Oracle Cloud GL, Oracle Cloud EPM – ARCS, FCCS, EDMCS. Lead the hands-on configuration in Oracle Cloud Financials (GL, FA and EPM) and work with key stakeholders to develop solutions in alignment with business requirements. Partner with customers business stakeholders to execute all phases of the implementation lifecycle – requirements, analysis, design, implementation, testing, and deployment. Provide guidance to technical team in the development of custom solutions across Reports, Integrations, Conversions, and Extensions. Develop and execute test plans for regression testing for patches, enhancement request, configuration changes, etc. Skills: arcs,functional support,oracle,fccs,oracle cloud financials,financials,oracle cloud epm,oracle erp,oracle gl,gl,oracle ebs,data migration,oracle fa,financial analysis,edmcs Show more Show less

Experience: 5 to 10 Years Must Have Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP Experience in CDP implementation and marketing analytics Experience in Python, SQL and AI/ML Frameworks Experience in Azure Data Factory, Databricks, Synapse, Snowflake Experience deploying GenAI applications Qualifications Bachelor's or master’s degree in computer science, Data Science, Marketing Analytics, or a related field. 5+ years of experience in CDP implementation and marketing analytics. Hands-on experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP (Experience in any one tool is mandatory). Exposure to MLOps practices and model monitoring pipelines. Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers). Experience deploying GenAI applications and understanding of LLM frameworks. Familiarity with campaign attribution models, marketing funnels, and retention strategies. Excellent analytical, communication, and stakeholder management skills. About The Role We are excited to welcome a highly skilled CDP & Marketing Analytics Specialist to join our dynamic digital transformation team. The ideal candidate will possess hands-on experience with Customer Data Platforms (CDPs) and exhibit a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will play a pivotal role in driving data-driven decision-making and enabling hyper-personalized marketing at scale. Key Responsibilities Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP. Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc. Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies. Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters). Skills: azure,genai applications,ai/ml frameworks,hightouch,treasure data,amperity,mparticle,azure data factory,marketing analytics,salesforce cdp,synapse,databricks,spacy,segment,transformers,analytics,cdp,nlp techniques,python,platforms,snowflake,ml,sql,customer data,nltk,simon data Show more Show less

Experience 8 - 14 Years Must Have Bachelor's Degree in Engineering, Computer Information Systems, MCA, or related field. Applicants with a Diploma or a 3-year degree (BCA/BSc) will not be considered. Minimum 8 years of industry experience, with at least 7 years in RPA bot development and administration. Minimum 2 years of recent experience in UI Path. Experience in RPA UI Path Orchestrator, RPA development, .NET (C#, VB, etc.), VBA, HTML, SQL, Git, SAP Automation, and end-to-end RPA Lifecycle. Job Description We are looking for an experienced RPA Developer Lead with over 8 years in the industry and 4 years of experience in Technology/Architecture, particularly with hands-on experience in the UI Path RPA tool. Title: RPA Developer (UiPath) Orchestrator Mandatory Skills Guide the installation, configuration, network setup, version management, upgrades, and control and monitoring panels. Identify and resolve technical issues and risks in implementation. Collaborate with Technology Information Security and Risk teams to ensure compliance with security policies for Automation use cases. Engage in daily system development and maintenance activities for RPA deployment. Review and code review Bots designed by others, recommending best practices and developing deployment/support guidelines as necessary. Experience with OCR Tools like ABBYY. Strong programming and object-oriented programming (OOP) basics. Proficiency in .NET (C#) and .NET framework application development. Knowledge of scripting languages such as JavaScript, VBScript, etc. Experience in programming languages such as Java, .NET (C#, VB, etc.), VBA, HTML, SQL. Familiarity with source control systems such as Git, Stash, Perforce, and associated best practices. Ability to collaborate with various infrastructure components and comprehensively understand their interactions. At least 3 years of experience in Robotic Process Automation (RPA) solutions using UiPath, including SAP process automations, Excel based automations, and Python integrations. Experience in customer interaction, requirements gathering, gap analysis, and software development lifecycle. Capable of leading application design sessions and developing detailed design specifications for complex systems. Proven ability to interact with all levels of team members, including business customers, database administrators (DBAs), software developers, design specialists, application developers, and management. Experience in automating browser-based/REST API applications and databases. Knowledge of SAP technologies would be an added advantage. A hands-on approach is essential. Skills: robotic process automation,html,sap automation,sql,automation,ocr tools (abbyy),uipath,rpa development,java,rpa,javascript,python,vbscript,orchestrator,ui path,git,.net (c#, vb),vba,bot Show more Show less

Experience: 10 - 17 Years Must Have 10+ Years of B2B Enterprise Sales Experience Experience in providing AI solutions / AI-based products, (IT sales) C-Level Stakeholder Engagement Individual Contributor (IC) role. Willingness to travel as required. Key Requirements A minimum of 10 years of experience in B2B sales, focusing on new business development Proven success in selling both IT services and software products to enterprise and mid-market clients Ability to generate leads independently and close high-value deals Excellent communication, negotiation, and presentation skills Strong understanding of technology trends and client buying behavior Self-driven, target-oriented, and capable of working with minimal supervision Comfortable in a flat, performance-oriented culture Job Summary We are seeking a dynamic and results-oriented Sales Head – India who thrives in a fast-paced, entrepreneurial environment. This is an individual contributor role suited for a motivated self-starter who takes full ownership of the sales cycle—from lead generation to deal closure. The ideal candidate should not depend on pre-qualified leads or support teams. The ideal candidate must have a successful track record of selling both services and products to clients across enterprise and mid-market segments. This role requires someone who is proactive, self-motivated, and capable of building a strong pipeline through their networks, research, and outreach. The incumbent should be comfortable in an IC role and capable of managing a team as needed. Key Responsibilities Take complete ownership of the India sales strategy and execution as an individual contributor Generate leads independently through networking, cold calling, LinkedIn, events, and referrals Drive the end-to-end sales cycle: prospecting, qualifying, pitching, negotiating, and closing Engage with C-level executives and decision-makers to understand business needs and propose tailored solutions Build and manage a healthy, self-sourced pipeline to achieve and exceed revenue targets Represent the company at industry events, conferences, and client meetings Provide regular sales forecasts, pipeline updates, and market intelligence to leadership Skills: ai solutions,c-level stakeholder engagement,b2b,artificial intelligence,communication,enterprise sales,negotiation,sales,lead generation,b2b sales,enterprise,technology trends,presentation skills,it sales Show more Show less

Experience 10 to 17 Years Must Have 10+ years in B2B Enterprise Sales Experience in selling AI solutions / AI-based products in IT sales Engagement with C-Level Stakeholders Individual Contributor role Willingness to travel when needed Key Requirements At least 10 years of experience in B2B sales focusing on new business development Proven success in selling IT services and software products to enterprise and mid-market clients Ability to generate leads independently and close high-value deals Strong communication, negotiation, and presentation skills Understanding of technology trends and client buying behavior Job Summary We are seeking a dynamic, results-oriented Sales Head for India who thrives in a fast-paced, entrepreneurial environment. This is an individual contributor role for a motivated self-starter who takes full ownership of the sales cycle, from lead generation to deal closure. The ideal candidate should not rely on pre-qualified leads or support teams. The ideal candidate must have a proven track record of selling both services and products to clients across enterprise and mid-market segments. This role requires someone who is proactive, self-motivated, and capable of building a strong pipeline through networks, research, and outreach. The candidate should be comfortable in an individual contributor role but also capable of managing a team if needed. Skills: ai solutions,b2b,b2b enterprise sales,communication,negotiation,presentation,sales,c-level,lead generation,understanding of technology trends,enterprise,it sales,client buying behavior Show more Show less