Data Scientist Advanced Jobs in Hyderabad

Principal Solution Architect Technical Locations: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology firm solving complex, data-intensive challenges for some of the world s most sophisticated financial institutions. Through relentless innovation, we empower clients to achieve transformational outcomes by delivering scalable and intelligent solutions that address critical needs in operations, data, and analytics. As the fintech industry evolves rapidly, Arcesium is uniquely positioned for strategic expansion. Our culture emphasizes intellectual curiosity, proactive ownership, and collaboration. We offer our people opportunities to make meaningful contributions from day one. About the Role We are seeking an experienced and strategic Principal Solution Architect to join our Client and Partner Development team as a Forward Deployed Solution Architect. This is a high-impact, client-facing role that blends technology, business strategy, and consulting. As a key liaison between clients and Arcesium s product teams, you will help articulate and deliver technically robust solutions that meet real-world investment management challenges. Your work will involve defining and delivering platform-powered, scalable architectures that create measurable business value for our clients. Key Responsibilities Solution Architecture & Delivery Collaborate with client stakeholders (CTOs, CDOs, Heads of Technology) to define and accelerate data strategies using Arcesium s platform. Deconstruct complex client problems and architect robust, scalable technical solutions using Arcesium s capabilities. Drive Proof of Concepts (PoCs), end-to-end solution delivery, and platform implementations. Client Engagement & Communication Present high-impact solutions via written proposals, diagrams, demos, and presentations. Lead governance, project planning, and expectation management for assigned clients. Collaborate with client-side development teams to onboard and train them on Arcesium's architecture, APIs, and data flow strategies. Internal Collaboration & Feedback Partner with Forward Deployed Engineers, Data Strategists, and Product Managers to ensure solution success. Provide feedback and improvement opportunities across products, processes, and solution delivery mechanisms. Represent Arcesium s technical capabilities in sales pitches, technical demos, and pre-sales discussions. Ideal Candidate Profile Experience & Background 7 12 years of client-facing experience in solutioning, technical consulting, implementations, or professional services. Prior experience in software development is a strong plus (languages: Python, Java, SQL). Experience managing cross-functional projects across business and technical domains. Technical Skills Deep understanding of solution architecture, system design, and data integration. Familiarity with cloud platforms (e.g., AWS), modern APIs, and data processing pipelines. Strong command of software engineering processes and DevOps practices. Soft Skills Outstanding communication and stakeholder management skills. Demonstrated ability to translate complex technical topics into simple, impactful solutions for diverse audiences. Comfortable working in a fast-paced, high-stakes client environment. Preferred Familiarity with financial services, investment management, or fintech is advantageous. Awareness of industry trends in data strategy, cloud infrastructure, and advanced analytics. Work at the intersection of finance and cutting-edge technology. Be a core part of strategic transformation for some of the world s leading financial institutions. Collaborate with high-caliber peers in a culture of ownership, growth, and excellence. Access continuous learning and development opportunities to accelerate your career. Equal Opportunity Employer Arcesium is an equal opportunity employer. We are committed to building a diverse and inclusive workforce. We welcome individuals from all backgrounds and walks of life to apply.

Product Lead Financials Reporting Location: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology company delivering sophisticated solutions to solve complex data-driven challenges for some of the world's most advanced financial institutions. We are committed to relentless innovation in helping our clients anticipate risks, optimize operational efficiency, and achieve transformational business outcomes. Operating at the crossroads of finance and technology, Arcesium empowers team members to take ownership, think creatively, and contribute meaningfully from day one. About the Role We are looking for a Product Lead Financials Reporting to join our Product Management Group in Hyderabad. In this role, you will lead the development and enhancement of financial reporting products used by some of the world s most sophisticated hedge funds and asset managers. You will be responsible for defining product vision and strategy, translating market needs into impactful product capabilities, and working closely with engineering and cross-functional stakeholders to build solutions that support our clients evolving regulatory, financial, and operational needs. Key Responsibilities Product Strategy & Vision Define and drive the vision, strategy, and roadmap for financial reporting products, in alignment with Arcesium s overall platform goals. Conduct market research, client interviews, and competitive analysis to identify product opportunities and trends. Build and maintain a forward-looking product roadmap grounded in user needs, technical feasibility, and business value. Execution & Delivery Collaborate with engineering teams to convert specifications into scalable, high-quality financial reporting solutions. Own feature definition, product design, and delivery through iterative releases and feedback loops. Monitor progress through test cases and validation frameworks to ensure features meet both business and technical expectations. Stakeholder Management Communicate product strategy, project plans, and progress updates with internal and external stakeholders. Collaborate with other product managers and cross-functional teams to integrate financial reporting into broader solutions. Prepare documentation such as release notes, business cases, and technical briefs. What You ll Need Experience & Expertise 6+ years of total experience with at least 2 years in product management. Deep understanding of financial reporting processes in hedge funds, asset management, or other alternative investment domains. Strong grasp of financial instruments, accounting standards, and regulatory frameworks relevant to financial reporting. Skills & Tools Advanced Excel skills and strong data analysis capability. Experience working closely with software engineers in an Agile or collaborative product development setting. Familiarity with interpreting counterparty statements and managing complex data sets. Soft Skills Excellent written and verbal communication skills. Strong critical thinking and problem-solving abilities. Confident stakeholder management and influence across technical and business teams. Detail-oriented, self-driven, and highly organized with a collaborative mindset. What Sets You Apart A healthy mix of domain expertise, strategic thinking, execution rigor, and customer empathy. Ability to thrive in a high-performance, data-driven, and fast-paced environment. Passion for delivering innovative financial technology solutions at scale. Equal Opportunity Employer Arcesium is an equal opportunity employer committed to diversity and inclusion. We welcome candidates from all backgrounds and ensure a workplace free from discrimination.

Operations Program Manager Customer Success (Hyderabad, India) Full-Time | Program & Business Operations | Salesforce Empower Operational Excellence. Drive Strategic Initiatives. Elevate Customer Success. Join Salesforce, the global leader in customer relationship management (CRM), as an Operations Program Manager and play a key role in shaping and executing global delivery programs that drive efficiency, scalability, and customer value. In this high-impact role, you ll be at the heart of business operations leading cross-functional initiatives, aligning with strategic goals, and ensuring operational excellence across the Professional Services Global Delivery Center (GDC). If you're a strategic thinker, a data-driven decision maker, and a collaborative leader with a strong foundation in business operations and program management, we want to hear from you. Location: Hyderabad or Bangalore, India Department: Customer Success / Professional Services Key Responsibilities Lead and manage strategic programs across Global Delivery Center (GDC) to support business growth, operational efficiency, and partner enablement Collaborate closely with stakeholders, sponsors, and cross-functional teams to define program scope, timelines, resources, and deliverables Plan and manage partner resource allocation for Cloud Practices, ensuring partner program objectives and KPIs are met Drive data-informed decisions through reporting, analytics, and insight generation to improve GDC performance Develop high-quality executive-level presentations to communicate program status, insights, and strategic direction Identify risks and dependencies early, implement mitigation strategies, and provide regular updates to senior leadership Continuously improve and optimize operational processes, ensuring program scalability and delivery excellence Coordinate with vendors and manage subcontractor-related program initiatives Advocate and support Agile/Scrum-based delivery models for improved cross-functional collaboration and execution Required Qualifications 10+ years of total experience in IT or related fields, with 5+ years in program management and business operations Strong hands-on experience managing business operations programs across multiple geographies or global delivery models Excellent analytical and problem-solving skills, with the ability to turn data into actionable insights Proven track record of successfully managing strategic initiatives with multiple stakeholders and cross-functional teams Advanced knowledge of Microsoft Excel for data analysis, modeling, and visualization Skilled in CRM tools experience with Salesforce CRM, Siebel, Clarify, Vantive, PeopleSoft, or NetSuite is a plus Familiarity with project management tools such as JIRA, MS Project, or similar platforms Strong communication and stakeholder engagement skills, including experience working with executive leadership Experience in driving continuous improvement and process optimization within business operations Preferred Qualifications Understanding of Agile methodologies and Scrum practices; experience as or with a Scrum Master is an advantage Experience managing external vendors or subcontractor programs PMP or Agile certification is a plus At Salesforce, we re on a mission to help businesses transform through innovation, customer success, and operational excellence. As part of our Customer Success organization, you ll be empowered to make a real impact, work with cutting-edge tools, and join a culture of collaboration, purpose, and continuous growth. Enjoy world-class benefits, including: Comprehensive well-being and healthcare coverage Generous parental leave, adoption and fertility support Ongoing enablement via Trailhead and leadership coaching Opportunities to give back through Salesforce s 1:1:1 philanthropy model Be a part of the team driving customer success at scale. Apply now to build a better tomorrow.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Snowflake Architect Location: Hyderabad, Telangana Work Type: On-site, Full-time Company: Blend About Blend: Blend is a premier AI services provider dedicated to driving innovation and value through data science, AI, and technology. Our mission is to co-create meaningful impact by combining human expertise with advanced AI-driven strategies. Job Summary: We are seeking an experienced Snowflake Architect to lead our data engineering efforts by designing scalable Snowflake architectures, optimizing data pipelines, and managing a high-performing team. This role requires a strategic thinker and hands-on leader to deliver secure, reliable, and efficient data solutions. Key Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines supporting business intelligence and advanced analytics. Lead and mentor a team of data engineers, ensuring timely delivery of high-quality projects. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance tuning, and ETL workflows. Optimize Snowflake environments for low latency, high availability, and cost efficiency. Drive continuous process improvements and evaluate emerging tools and technologies. Ensure data accuracy, completeness, and security, complying with data privacy regulations like GDPR and CCPA. Partner with cloud engineering and DevOps teams to integrate Snowflake solutions within AWS infrastructure. Participate in capacity planning, budgeting, and resource allocation for data engineering functions. Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (Master s preferred). 9+ years of cloud-based data engineering experience, with at least 4 years of hands-on Snowflake expertise. Proven track record in designing, deploying, and managing large-scale Snowflake data platforms. Expertise with AWS services including S3, Redshift, Lambda, Glue, etc. Strong proficiency in SQL, Python, and other data manipulation languages. Experience managing and mentoring engineering teams and leading cross-functional projects. Solid understanding of data governance, security, and compliance frameworks (GDPR, CCPA). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Snowflake certification(s). Experience with other cloud data warehouses such as AWS Redshift or Google BigQuery. Familiarity with Agile methodologies, CI/CD pipelines, Git, Jira, and modern development practices. Apply now to join Blend and help shape the future of data-driven innovation! Qualification : Bachelors degree in Computer Science, Information Technology, or related field (Masters preferred).

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

Data Engineering Support Engineer SIMA (5+ Years) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience: 5+ Years Industry: Data Engineering / Cloud Support Job Overview We are seeking an experienced Data Engineering Support Engineer with a strong background in maintaining and optimizing data pipelines, ensuring platform reliability, and supporting cloud data infrastructure. This role is critical to sustaining smooth data operations for the SIMA platform in Hyderabad. Key Responsibilities Maintain and support data pipelines and transformations on Azure cloud platforms. Ensure platform stability and reliability through proactive monitoring and issue resolution. Manage scheduling and monitoring using Azure Data Factory (ADF) triggers, Azure Monitor, and Log Analytics (KQL). Handle data ingestion and validation workflows via ADF, Event Hub, APIs, and PySpark, including managing schema drift. Manage CI/CD pipelines using Azure DevOps YAML, deploying solutions for ADF, Synapse, and Databricks. Optimize data transformations and performance using PySpark and Delta Lake techniques like partitioning and caching. Implement and maintain security best practices using Azure RBAC, Key Vault, NSGs, and Integration Runtime configuration. Conduct Root Cause Analysis (RCA), document findings, maintain disaster recovery playbooks, and implement proactive alerting. Required Skills 5+ years of hands-on experience in data engineering support roles. Expertise in Azure Data Factory (ADF) scheduling, triggers, and monitoring. Proficient with PySpark for data transformations and performance optimization. Experience with Delta Lake optimizations including partitioning and caching. Skilled in CI/CD practices using Azure DevOps for deploying data workflows. Strong knowledge of Azure security features: RBAC, Key Vault, Network Security Groups (NSGs). Ability to perform detailed Root Cause Analysis (RCA) and develop disaster recovery strategies. Familiarity with data ingestion tools like Event Hub and API integrations. Experience with Kusto Query Language (KQL) for Log Analytics queries. Join a dynamic team maintaining critical data infrastructure supporting business operations. Work with advanced Azure data services and cloud-based data platforms. Competitive salary and comprehensive benefits. Opportunity for growth and skill development in cloud data engineering. Apply Now If you are a detail-oriented data engineering professional with expertise in Azure platform support, apply today to become a vital part of our Hyderabad-based SIMA team!

Job Title: Senior Data Engineer Location: Hyderabad, Telangana, India Job Type: Full-Time | Permanent Experience Required: 6+ Years Open Positions: 2 About the Role: We are seeking a highly skilled and experienced Data Engineer to join our team in Hyderabad. As a key member of our data engineering unit, you will be responsible for designing and optimizing end-to-end data pipelines using Python, PySpark, and Databricks. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to lead best practices within the Supply Chain data domain. Key Responsibilities: Develop and maintain scalable data pipelines using Python, PySpark, and Databricks for complex data transformation within Supply Chain operations. Implement advanced data engineering solutions that support real-time and batch data processing for analytics and business intelligence. Analyze, optimize, and refactor existing data workflows to improve performance and reliability. Collaborate with cross-functional teams to understand data requirements and translate them into robust technical solutions. Take ownership of projects and deliver high-quality outcomes with minimal supervision. Provide leadership and guidance on coding standards, design patterns, and data engineering best practices. Clearly communicate technical ideas and solutions to both technical and non-technical stakeholders. Required Skills & Qualifications: 6+ years of hands-on experience in data engineering. Proficient in Python, PySpark, and Databricks for building and maintaining data pipelines. Strong problem-solving skills with a proven ability to create innovative solutions for complex data challenges. Excellent communication and interpersonal skills; able to work effectively with cross-functional teams. Experience leading and mentoring team members on technical best practices and architecture decisions. Ability to work independently, manage priorities, and drive projects to completion with minimal oversight. Perks & Benefits: Competitive compensation package Exposure to cutting-edge technologies in cloud-based data engineering Opportunity to work on large-scale Supply Chain data solutions Collaborative, innovation-driven work environment Career growth and mentorship opportunities

Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Job Title: Senior Data Engineer Company Name: Zessta Job Type: Full-time Responsibilities: Analyze customer data to enhance customer experience and provide actionable insights. Build and maintain integrations to support advanced data science workflows, ensuring seamless interaction with the Product API. Actively participate in onboarding and training clients on how to use the product effectively. Provide insights into client-to-business interactions, ensuring that the data can be leveraged for strategic decisions. Act as a liaison between the client and the organization, ensuring both parties' needs and expectations are met. Identify opportunities for clients to expand their usage of the product, driving engagement and long-term value. Address customer complaints and requests, offering product support to improve overall satisfaction and experience. Skills and Experience: Excellent communication and interpersonal skills to work effectively with clients and internal teams. Strong understanding of data modeling and architecture. Hands-on experience with data integrations and data pipelining tools to connect systems and enable smooth data flow. Proficiency in programming languages, preferably Python or R, to process and analyze data. Experience with container orchestration platforms like Docker and Kubernetes. Familiarity with distributed computing frameworks such as Spark, Hadoop, and Dask to handle large-scale data processing. Experience with version control software such as Git to manage code and collaborate with teams. Knowledge of project management tools such as JIRA to track and manage project progress and tasks. Familiarity with tools like Figma and Mixpanel is a plus. Education and Experience: Bachelor s or Master s degree from premier institutes (preferred). 4-12 years of relevant experience in data engineering, data science, or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. The chance to work on cutting-edge technologies and impactful projects. If you have a passion for data engineering and improving customer experience, and you're ready to take on new challenges, we'd love to hear from you. Apply now to join our team at Zessta and contribute to driving innovation and business success! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Transform Business Processes with Us! Location: Hyderabad, India We are seeking an experienced SAP Signavio Consultant to help our clients analyze, optimize, and enhance their business processes using the SAP Signavio software suite. You will work closely with clients to understand challenges, identify inefficiencies, and recommend solutions that drive operational excellence. As an integral part of our consulting team, you will be responsible for process modeling, system integrations, and value-driven insights, ensuring seamless adoption of SAP Signavio Process Manager, Process Governance, and Process Intelligence. Key Responsibilities Process Analysis & Optimization Collaborate with clients to understand their business processes, scenarios, and challenges. Leverage Signavio tools to analyze, optimize, and document business processes. Identify areas for improvement and provide tailored recommendations. SAP Signavio Implementation & Integration Lead the setup and integration of SAP Signavio with S/4HANA, ERP, and other digital platforms. Work on data connections, custom integrations, and KPI dashboards to enhance client decision-making. Support BPM content migration from tools like ARIS, BIC, ViFlow to Signavio. Customer Engagement & Consulting Conduct proof-of-concept initiatives and drive consulting projects. Deliver workshops, enablement sessions, and formal read-outs to customers. Serve as the SAP Signavio Subject Matter Expert (SME), supporting SAP customers and partners. Technical Expertise & Best Practices Provide technical consulting expertise on Signavio customization, data mining, and process modeling (BPMN 2.0). Develop custom Signavio solutions including PI script modifications and advanced analytics visualizations. Ensure system and data integration between client systems and SAP Signavio. Collaboration & Knowledge Sharing Support and mentor other Signavio consultants with client engagements. Collaborate with the product development team to improve Signavio features. Stay up to date with industry trends and best practices in business process management. Required Skills & Experience Hands-on experience with SAP Signavio, including Process Manager, Process Governance, and Process Intelligence. Experience with database systems, data mining, and analytics visualization. Strong process modeling skills with familiarity in BPMN 2.0. Expertise in SAP system integrations, including S/4HANA, ERP, and other enterprise systems. Technical proficiency in customizing Signavio solutions, PI Scripts, and data connectors. Proven ability to lead consulting engagements, drive adoption, and resolve technical challenges. Strong analytical, problem-solving, and communication skills. Self-motivated, proactive, and a team player who thrives in a collaborative environment. Work with global clients to transform their business processes. Opportunity to lead high-impact projects with cutting-edge technology. Continuous learning & professional development with expert teams. Collaborative, innovative, and growth-driven work culture. If you re passionate about business process optimization and SAP Signavio, we d love to hear from you! Apply now and be a part of our transformational journey!

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

What Gramener Offers You Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with ample opportunities to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Role Description We are seeking a Backend Developer with 5+ years of experience in application development using Python and related backend technologies. The ideal candidate will be responsible for interpreting business requirements and translating them into clear, robust, and scalable technology solutions. Key Responsibilities Develop and maintain backend solutions using Python Tornado and FastAPI frameworks. Design, implement, and maintain RESTful APIs, ensuring secure token authentication and data compression. Work with various RDBMS models in the cloud and integrate different databases such as Clickhouse, MS SQL, Postgres, and Snowflake. Collaborate with cross-functional teams in an Agile environment to deliver high-quality solutions. Debug and troubleshoot issues by analyzing log files and error messages to identify and resolve root causes. Utilize version control and issue tracking systems such as Bitbucket, Git CLI, and Jira to manage projects efficiently. Follow best practices for code development, ensuring scalability, maintainability, and performance. Preferred Skills and Experience Strong understanding of RDBMS database models in the cloud environment. Basic knowledge of cloud components like Databricks, ADLS, and OAuth/Secrets is a plus. Proven experience with Python Tornado and FastAPI frameworks. Familiarity with token authentication mechanisms and secure API development. Good understanding of Agile methodologies and working in an Agile environment at scale. Excellent problem-solving skills, with the ability to analyze complex systems and find innovative solutions. Strong communication and teamwork skills, with a collaborative spirit. About Us At Gramener, we consult and deliver solutions that empower organizations to make data-driven decisions. We help our clients convert data into a strategic differentiator through strategic data consulting, advanced analytics, and visualization solutions. Our mission is to analyze and visualize large amounts of data, enabling organizations to gain valuable insights and achieve their business goals.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

The Opportunity We're seeking an experienced Director or Senior Product Marketing Manager (depending on experience) to drive our product marketing initiatives for Adaptive MDR. This role offers a unique opportunity to make a significant impact in the cybersecurity landscape, with the potential for leadership growth. Your Impact As a key player in our marketing team, you'll shape our product marketing direction, create compelling content, and drive our products' success in the competitive cybersecurity market. Key Responsibilities Strategic Leadership & Messaging Develop and execute comprehensive product marketing strategies for our Adaptive MDR solution. Craft compelling product positioning, messaging, and narratives that resonate with our US target audience and illustrate our unique value proposition. Lead go-to-market strategies for new product launches, ensuring successful adoption and market penetration. Collaborate with cross-functional teams to align marketing efforts with business objectives. Content Creation & Campaign Management Create engaging content across various formats, including thought leadership assets, landing pages, solution decks, reports, blogs, and demos. Design and execute strategic marketing campaigns with clear goals, targeted messaging, and precise segmentation strategies. Ensure all content and campaigns align with our brand voice and communicate our product benefits effectively Industry Presence and Thought Leadership Lead Netenrich's presence at key industry events and deliver compelling presentations to customers, influencers, and conference audiences. Build and maintain relationships with industry analysts and influencers to enhance our market position. Market Intelligence and Analysis - Conduct thorough market research to gain insights into customer needs, market trends, and competitive landscape. Analyze campaign effectiveness and provide data-driven recommendations to improve marketing performance and product positioning. Your Qualifications 10+ years of product marketing experience, with at least three years in a leadership role in the cybersecurity industry. Deep understanding of MDR solutions and related technologies (SIEM, SOAR, security operations). Proven track record in developing and executing successful marketing strategies for complex technical solutions, preferably involving advanced technologies (Data Lake, AI/ML, Big Data, SaaS, and Cloud). Exceptional storytelling abilities and strong public speaking skills, with experience presenting to diverse audiences. Demonstrated ability to work effectively with cross-functional teams, including product management, sales, and technical teams, and drive data-driven decisionmaking. Experience in competitive analysis, market positioning, and using marketing analytics tools. Experience working in a global company with distributed teams is a plus. Ability to adapt quickly in a fast-paced, evolving industry. Future Growth Opportunity While initially an individual contributor role, this position has strong potential to evolve into a key leadership role as our team expands. The ideal candidate will demonstrate the ability to mentor and guide team members, shaping our product marketing organization. Competitive salary and comprehensive benefits package. Opportunity to work with innovative technologies in a rapidly growing industry. A collaborative and inclusive work environment that values diversity of thought. Significant professional development and career growth opportunities. Chance to make a real impact in the cybersecurity space. At Netenrich, you'll shape the future of cybersecurity marketing and grow into a leadership role. If you're a strategic thinker with a passion for technology, a track record of marketing success, and the ambition to lead and innovate in cybersecurity, we want to hear from you! Qualification : 10+ years of product marketing experience, with at least three years in a leadership role in the cybersecurity industry.

Key Responsibilities Identify, qualify, and pursue new business opportunities within the enterprise market, with a focus on BFSI clients and large enterprises. Leverage your expertise in SIEM, SOAR, and cybersecurity to conduct thorough assessments of client security needs and recommend tailored solutions that address their specific requirements. Develop and maintain a robust sales pipeline, managing multiple opportunities simultaneously and driving each to successful closure. Collaborate closely with internal technical teams to design comprehensive security solutions that align with client objectives and regulatory requirements. Lead high-level discussions with C-level executives, IT leaders, and security professionals to articulate the value proposition of our solutions and overcome objections. Prepare and deliver compelling sales presentations, proposals, and demonstrations that showcase the capabilities and benefits of our products and services. Negotiate contracts, pricing, and terms with clients, ensuring favorable outcomes while maximizing revenue and profitability. Stay abreast of industry trends, emerging technologies, and competitive developments in the cybersecurity landscape, providing valuable insights to inform sales strategies. Cultivate strong relationships with strategic partners, industry associations, and professional networks to expand our reach and generate new business opportunities. Utilize CRM software and sales analytics tools to track sales activities, monitor pipeline progress, and generate accurate forecasts. Qualifications Strategic Leadership & Messaging Develop and execute comprehensive product marketing strategies for our Adaptive MDR solution. Craft compelling product positioning, messaging, and narratives that resonate with our US target audience and illustrate our unique value proposition. Lead go-to-market strategies for new product launches, ensuring successful adoption and market penetration. Collaborate with cross-functional teams to align marketing efforts with business objectives. Content Creation & Campaign Management Create engaging content across various formats, including thought leadership assets, landing pages, solution decks, reports, blogs, and demos. Design and execute strategic marketing campaigns with clear goals, targeted messaging, and precise segmentation strategies. Ensure all content and campaigns align with our brand voice and communicate our product benefits effectively Industry Presence and Thought Leadership Lead Netenrich's presence at key industry events and deliver compelling presentations to customers, influencers, and conference audiences. Build and maintain relationships with industry analysts and influencers to enhance our market position. Market Intelligence and Analysis - Conduct thorough market research to gain insights into customer needs, market trends, and competitive landscape. Analyze campaign effectiveness and provide data-driven recommendations to improve marketing performance and product positioning. Your Qualifications 10+ years of product marketing experience, with at least three years in a leadership role in the cybersecurity industry. Deep understanding of MDR solutions and related technologies (SIEM, SOAR, security operations). Proven track record in developing and executing successful marketing strategies for complex technical solutions, preferably involving advanced technologies (Data Lake, AI/ML, Big Data, SaaS, and Cloud). Exceptional storytelling abilities and strong public speaking skills, with experience presenting to diverse audiences. Demonstrated ability to work effectively with cross-functional teams, including product management, sales, and technical teams, and drive data-driven decisionmaking. Experience in competitive analysis, market positioning, and using marketing analytics tools. Experience working in a global company with distributed teams is a plus. Ability to adapt quickly in a fast-paced, evolving industry. Future Growth Opportunity While initially an individual contributor role, this position has strong potential to evolve into a key leadership role as our team expands. The ideal candidate will demonstrate the ability to mentor and guide team members, shaping our product marketing organization. Competitive salary and comprehensive benefits package. Opportunity to work with innovative technologies in a rapidly growing industry. A collaborative and inclusive work environment that values diversity of thought. Significant professional development and career growth opportunities. Chance to make a real impact in the cybersecurity space. At Netenrich, you'll shape the future of cybersecurity marketing and grow into a leadership role. If you're a strategic thinker with a passion for technology, a track record of marketing success, and the ambition to lead and innovate in cybersecurity, we want to hear from you! Qualification : 10+ years of product marketing experience, with at least three years in a leadership role in the cybersecurity industry.