digital marketing specialist Jobs in Hyderabad

digital marketing specialist

product marketing specialist - ai Jobs in Hyderabad

product marketing specialist - ai

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specialist i, quality assurance engineer Jobs in Hyderabad

specialist i, quality assurance engineer

talent acquisition specialist Jobs in Hyderabad

talent acquisition specialist

artificial intelligence specialist

Teradata

<div>
 
 What You&rsquo;ll Do
 
 
 
 This role is ideal for someone passionate about AI strategic thinking, and storytelling through data. You will develop and tell the Teradata AI Story. Specifically, you will:
 
 
 <ul>
 <li>
 Monitor and analyze Predictive, Generative and Agentic AI trends, competitor capabilities, pricing, and go-to-market strategies.
 </li>
 <li>
 Partner with global product marketing and sales teams to deliver timely insights on Teradata&rsquo;s Agentic AI developments.
 </li>
 <li>
 Support product positioning and messaging by building and tailoring Predictive, Generative and Agentic AI use cases.
 </li>
 <li>
 Conduct primary and secondary research to identify emerging threats and opportunities in the AI space.
 </li>
 <li>
 Present findings in clear, compelling formats for both internal and external stakeholders.
 
 
 </li>
 </ul>
 This role directly impacts how our Field Teams position Teradata&rsquo;s AI capabilities with prospects and customers.
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 You&rsquo;ll collaborate closely with the India POD team, Product Managers, Field Teams, and fellow Product Marketers. Your insights will shape how new Agentic AI products and offerings are brought to market.
 
 
 Teradata operates a hybrid working model, which requires a minimum of 50% on-site presence at our Hyderabad office to foster collaboration and team engagement.
 
 
 
 What Makes You a Qualified Candidate
 
 
 
 <ul>
 <li>
 3&ndash;5 years&rsquo; experience in Product Marketing within the technology space, ideally with exposure to AI/ML or Agentic AI.
 </li>
 <li>
 Deep understanding of the Predictive, Generative, Agentic AI and DBMS marketplaces, including key players and analyst coverage.
 </li>
 <li>
 Work samples that demonstrate the ability to articulate AI-driven value propositions and product narratives.
 </li>
 <li>
 A proven track record of cross-functional collaboration and driving projects to completion.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 A positive, can-do attitude paired with strong interpersonal and communication skills.
 </li>
 <li>
 An aptitude for digesting technical AI product details and crafting compelling use cases and business propositions.
 
 
 </li>
 </ul>
 
 
 
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
 
</div>

Product Marketing Specialist - AI

Microsoft

<div>
 
 Overview
 
 
 
 Are you an experienced Data Scientist, and you love what you do? Would you like to be a part of a global customer facing Team focussed on solving complex, real-world business problems? Would you like to be a part of a worldclass community of technical leaders, highly specialised in their disciplines and working together as one to bring the best practices of Artificial Intelligence, Machine learning, Engineering and Architecture to world&rsquo;s largest enterprise customers?
 
 
 The Industry Solutions Delivery (ISD) Engineering &amp; Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data &amp; AI.  EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions.
 
 
 We are hiring a Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence.
 
 
 Our team embraces a continuous learning and growth mindset, encourages diverse viewpoints and relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact economy and people worldwide.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
 </li>
 <li>
 Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity.
 </li>
 <li>
 Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders.
 </li>
 <li>
 Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process.
 </li>
 <li>
 Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems.
 
 
 </li>
 </ul>
 Business Understanding and Impact
 
 
 Leverages understanding of data science and business to examine a project and consider factors that can influence final outcomes within a technical area. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Documents key business objectives. Effectively communicates business goals in analytical and technical terms. Consistently shares insights with stakeholders.
 
 
 Data Preparation and Understanding
 
 
 Acquires necessary data for project completion and describes it using querying, visualization, and reporting techniques. Explores data for key attributes and contributes to development of quality reports. Collaborates with others to perform data-science experiments using established methodologies and tools. Partners with Solution Architects, Consultants, and Data Engineers in data preparation efforts. Identifies data integrity problems and adheres to Microsoft's privacy policy.
 
 
 Modeling and Statistical Analysis
 
 
 Applies machine learning knowledge to identify the best approach for project objectives, utilizing individual algorithms and modeling techniques. Selects the appropriate approach to prepare data, train, optimize, and evaluate the model for statistical and business significance. Writes scripts in SQL, Python, R, etc. Designs experiments, analyzes results, and communicates findings to stakeholders. Understands operational considerations for model deployment and partners with data engineering teams to develop operational models.
 
 
 Evaluation
 
 
 Understands the relationship between the model and business objectives. Tests models on test and production data, analyzes performance, and incorporates customer feedback. Reviews data analysis and modeling techniques to identify overlooked or reexamined factors. Contributes to the review summary.
 
 
 Industry and Research Knowledge/Opportunity Identification
 
 
 Learns and understands the current state of the industry, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance. Maintains knowledge of current trends within the discipline. Attends internal research conferences and participates in on-hands training, when appropriate. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
 
 
 Coding and Debugging
 
 
 Writes efficient and readable code for specific features, collaborating with other engineering teams to optimize code and improve system efficiency, reliability, and maintainability. Develops expertise in debugging techniques and integrates data models into customer systems. Understands big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API consumption/development.
 
 
 Business Management
 
 
 Develops understanding of data structures and relationship to customer business goals, observes senior engineers for best practices in identifying growth opportunities and exploring ML applications. Understands customer business goals and demonstrates a strong commitment to Responsible AI, supporting customers, partners and internal stakeholders in building trustworthy AI solutions.
 
 
 Customer/Partner Orientation
 
 
 Focuses on customer needs, manages expectations, and enhances customer excellence. Learns from senior team members to develop insights and communicate results. Understands the impact of data quality on model accuracy and can explain it to customers.
 
 
 
 Other
 
 
 
 Embody our culture and values
 
 
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field, with proven 4 years of data science experience in business context.
 </li>
 <li>
 Be able to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges.
 </li>
 <li>
 Hands-on software engineering experience (e.g. Python, Scikit, PyTorch,C++) with main established data science frameworks.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with building and deploying largescale AI solutions into production within a cloud environment
 </li>
 <li>
 Experience dealing with internal and external stakeholders on large, complex projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist 2

<div>
 
 Overview
 
 
 
 The Azure Compute Platform team, a cornerstone of Azure Cloud&rsquo;s infrastructure, is experiencing rapid growth. This team leads the way in tackling global challenges with cutting-edge advancements in distributed systems and cloud-native security. The solutions they develop are crucial to the operations of all customer workloads on the Azure cloud.
 
 
 As Azure Cloud strengthens its role as the foundation of enterprise solutions and artificial intelligence, we have unique opportunities to significantly enhance and scale Azure Compute.
 
 
 We are seeking a Software Engineer to work with Azure&rsquo;s core engineers in leading the development of the Azure Compute service, ensuring its scalability and security. We are looking for someone who thrives on solving complex problems and excels at collaborating with various teams to address intricate issues. The ideal candidate will work with urgency while maintaining a strong focus on security.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with appropriate stakeholders to determine user requirements for a set of features. Contribute to the identification of dependencies, and the development of design documents for an area for our highly available, globally distributed services.
 </li>
 <li>
 Create and implement code for a product, service, or feature, reusing code as applicable to solve complex engineering challenges in data management, performance, durability, scale, and security and resiliency.
 </li>
 <li>
 Collaborate with engineers across Azure to deliver seamless data resiliency integrations. Continuously improve reliability, cost efficiency, and customer experience.
 </li>
 <li>
 Act as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.
 </li>
 <li>
 Review current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 <li>
 1+ year(s) experience in object-oriented programming or managed code (e.g., C#, Java, C++, Go, or similar).
 </li>
 <li>
 1+ years of professional software engineering experience in designing, building, and testing services or large-scale systems.
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 <ul>
 <li>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
 </li>
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science
 </li>
 <ul>
 <li>
 OR related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
 </li>
 <li>
 OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 1+ year(s) experience with one or more of the following:
 </li>
 <ul>
 <li>
 Cloud services or distributed computing.
 </li>
 <li>
 REST-based service design and integrations across complex ecosystems.
 </li>
 <li>
 Participating live-site accountability.
 
 </li>
 </ul>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer

MTX Group

<div>
 
 
 Job Description
 
 
 
 MTX Group Inc. (MTX) is currently hiring for the position of
 
 Consultant
 
 in a
 
 Technical Role.
 
 We are looking for a highly motivated individual with extensive experience in leading large-scale complex projects. The ideal candidate will be responsible for developing and customizing Salesforce solutions, implementing new features, and ensuring the overall quality of our Salesforce implementation.
 
 
 
 
 
 MTX is a global technology consulting firm that enables organizations to modernize through digital transformation. With data as the new currency, MTX helps transform long-term strategy with outcomes in mind around happiness, health and the economy. MTX improves decision-making with speed and quality by partnering with leading cloud technologies. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization, and mobile technology.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 The Consultant is expected to lead large scale/complex project(s) executing the following responsibilities:
 
 
 
 
 
 Project Collaboration:
 
 <ul>
 <li>
 Ensure effective collaboration and execution throughout all phases of development, testing, and deployment.
 </li>
 <li>
 Manage changes to Salesforce code and configurations, and collaborate with other developers in a team environment to ensure security best practices and code optimization.
 </li>
 <li>
 Ensure project timelines are met in collaboration with the PMO and Functional workstream.
 </li>
 </ul>
 
 Solution Design Document &amp; Deliverables:
 
 <ul>
 <li>
 Support in creating comprehensive technical design documents outlining the architecture, data model, and implementation details of Salesforce solutions.
 </li>
 <li>
 Support in Importing/exporting data, mapping data, cleansing data, migrationing data, and manipulating data using Data Loader or other ETL (Extract, Transform, Load) tools.
 </li>
 </ul>
 
 Develop end-to-end Salesforce solutions:
 
 <ul>
 <li>
 Use Lightning Web components, Force.com Apex Class, Triggers, etc., to develop custom solutions that meet business requirements.
 </li>
 <li>
 Design patterns, implement Asynchronous Apex, write effective unit tests and test class, develop triggers, and adhere to coding best practices.
 </li>
 <li>
 Develop custom UI using Aura Components, Lightning Web Components, Visualforce, including advanced CSS and JavaScript.
 </li>
 <li>
 Ensure solutions are scalable, reliable, and maintainable.
 </li>
 </ul>
 
 Technical Support and Integration:
 
 <ul>
 <li>
 Automate development processes, including continuous integration, deployment, and release cycles.
 </li>
 <li>
 Integrate applications with Salesforce using REST and SOAP APIs, Salesforce Connect, and middleware platforms like MuleSoft, Jitterbit or Informatica.
 </li>
 </ul>
 
 Testing and Quality Assurance:
 
 <ul>
 <li>
 Ensure deliverables meet quality standards by conducting code reviews with a focus on identifying potential issues and ensuring code quality.
 </li>
 <li>
 Debug, and resolve defects found during testing phases.
 </li>
 <li>
 Work closely with the functional team to integrate testing into the development process and resolve issues.
 </li>
 <li>
 Execute UAT with stakeholders and make sure the solution meets final expectations and system specifications.
 </li>
 </ul>
 
 Post-Implementation Review and Iterative Improvement:
 
 <ul>
 <li>
 Provide ongoing support after deployment, addressing system issues and optimizing performance.
 </li>
 </ul>
 
 Organization Development:
 
 <ul>
 <li>
 Mentorship and Guidance:
 </li>
 <li>
 Provide mentorship and guidance to the entry professionals, fostering their professional growth and development within the team.
 </li>
 </ul>
 
 Growth and Development of Project/ Regional teams:
 
 <ul>
 <li>
 Stay up-to-date with the latest trends, technologies, and best practices in the field.
 </li>
 <li>
 Lead Continuous improvement of Salesforce development processes and procedures.
 </li>
 <li>
 Participate in the hiring process to identify top talent for the projects.
 </li>
 </ul>
 
 Contribution to the COE (Center of Excellence)
 
 <ul>
 <li>
 Contribute to the development of COE with relevant deliverables and assets .
 </li>
 </ul>
 
 Operational Excellence:
 
 <ul>
 <li>
 Maintenance of Salesforce Certifications.
 </li>
 <li>
 Required to travel for key project milestones.
 </li>
 <li>
 Maintain utilization goals.
 </li>
 </ul>
 
 
 
 
 
 What you will bring:
 
 
 <ul>
 <li>
 3-6 years of experience in developing technology solutions with minimum 2 years of experience in Salesforce project implementation.
 </li>
 <li>
 Competent in Salesforce Security &amp; Permissions like Data Protection, Managing access etc.
 </li>
 <li>
 Competent in developing custom UI using Aura Components, Lightning Web Components, Visualforce, including advanced CSS and JavaScript.
 </li>
 <li>
 Proficient in version control systems like Git, Bit bucket, CI/CD pipelines, sandbox management, and coordination of Salesforce releases to ensure efficient, reliable, and timely delivery of high-quality applications.
 </li>
 <li>
 Competent in Solution Design Document &amp; Deliverables (Competent in translating business requirements into technical specifications, defining integration points, and documenting customizations, ensuring clarity and alignment among stakeholders for successful implementation.).
 </li>
 <li>
 Knowledge of integration techniques and tools to integrate Salesforce with other systems and applications.
 </li>
 <li>
 Proficient in understanding data model, data management tasks within Salesforce, such as data import/export and data manipulation etc using Data Loader or other ETL (Extract, Transform, Load) tools.
 </li>
 <li>
 Strong communication, interpersonal skills with a user centric approach to problem solving.
 </li>
 <li>
 Bachelor's degree and above is desirable.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 
 Group Medical Insurance (Family Floater Plan - Self + Spouse + 4 Dependent Children)
 
 <ul>
 <li>
 Sum Insured: INR 5,00,000/-
 </li>
 <li>
 Maternity cover upto two children
 </li>
 <li>
 Cashless &amp; Reimbursement facility
 </li>
 <li>
 Access to free online doctor consultation
 </li>
 </ul>
 
 Personal Accident Policy (Disability Insurance) -
 
 <ul>
 <li>
 Sum Insured: INR. 25,00,000/- Per Employee
 </li>
 <li>
 Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
 </li>
 <li>
 Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
 </li>
 <li>
 Temporary Total Disability is covered
 </li>
 </ul>
 
 Optional Food Wallet (up to Rs. 2500 per month)
 
 <ul>
 <li>
 Offered as a tax saver component
 </li>
 <li>
 Part of the special allowance component in the CTC
 </li>
 </ul>
 
 Monthly Internet Reimbursement of upto Rs. 1,000
 
 
 Professional Development opportunities through various MTX-sponsored certifications on multiple technology stacks, including Salesforce, Microsoft, Google Cloud, AWS &amp; other
 
</div>

Consultant - Technical (Salesforce)

PepsiCo

<div>
 
 Overview
 
 
 
 The Data Science Senior Analyst (Lead Data Scientist) is part of the Data Impact Benelux team. This team is responsible for supporting the Benelux commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing &amp; commercial ecosystem to ensure all commercial data are leveraged in the most optimal way.
 
 
 
 Responsibilities
 
 
 
 As the lead data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for BENLUX markets e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
 
 
 The position exists to unlock competitive advantage in go-to-market and execution through cutting edge data science, advanced analytics, and AI techniques, with a focus on OT, TT and AFH for BENLUX. The focus of this role is ensuring the successful implementation of data science solutions that deliver. The role holder will also leverage best practice to help to establish a reusable data science ecosystem.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or advanced degree in a quantitative field for instance a Master&rsquo;s degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
 </li>
 <li>
 7 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
 </li>
 <li>
 Proven experience with medium to large size data science projects
 </li>
 <li>
 Advanced knowledge of key data science techniques:
 </li>
 <ul>
 <li>
 Combining data from multiple sources through APIs, Semantic Web, etc.
 </li>
 <li>
 Data preparation and feature engineering
 </li>
 <li>
 Supervised / Unsupervised learning
 </li>
 <li>
 Collaborative Filtering
 </li>
 <li>
 Location Analytics &amp; Intelligence
 </li>
 </ul>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Good to have experience with data processing frameworks (e.g., Hadoop, Spark)
 </li>
 <li>
 Good to have understanding of data engineering principles, data integration, and ETL processes.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate business needs into data-driven solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
</div>

Sales Analyst

Delhivery

<div>
 
 
 Key Responsibilities:
 
 
 
 
 1. New Business Development
 
 
 <ul>
 <li>
 Identify, target, and acquire new corporate clients for express logistics services.
 </li>
 <li>
 Develop and deliver customized sales pitches, proposals, and pricing solutions.
 </li>
 <li>
 Ensure consistent pipeline building and weekly opportunity tracking.
 </li>
 </ul>
 
 
 2. Key Account Management
 
 
 <ul>
 <li>
 Manage and grow revenue from large enterprise accounts and high-value clients.
 </li>
 <li>
 Oversee account planning, quarterly reviews, and long-term relationship building.
 </li>
 <li>
 Act as a single point of contact for escalations, service issues, or SLA deviations.
 </li>
 <li>
 Drive customer retention and account expansion opportunities.
 </li>
 </ul>
 
 
 3. Contract &amp; Commercial Management
 
 
 <ul>
 <li>
 Negotiate commercial terms, rate cards, and service contracts with clients.
 </li>
 <li>
 Lead contract renewals, amendments, and compliance tracking.
 </li>
 <li>
 Ensure proper documentation, adherence to agreed SLAs, and timely closure of legal/finance approvals.
 </li>
 </ul>
 
 
 4. Revenue &amp; Performance Management
 
 
 <ul>
 <li>
 Achieve monthly, quarterly, and annual sales targets.
 </li>
 <li>
 Monitor revenue leakage, credit limits, and ensure timely collection of payments.
 </li>
 <li>
 Review client performance metrics and drive improvements.
 </li>
 </ul>
 
 
 5. Operational Coordination
 
 
 <ul>
 <li>
 Coordinate with operations, hub teams, and customer service to ensure on-time deliveries.
 </li>
 <li>
 Share client requirements (pickup schedules, packaging needs, delivery SLAs) with relevant teams.
 </li>
 <li>
 Track shipment performance and ensure adherence to service commitments.
 </li>
 </ul>
 
 
 6. Reporting &amp; Documentation
 
 
 <ul>
 <li>
 Maintain updated sales reports, lead trackers, and client interaction logs.
 </li>
 <li>
 Provide MIS updates, forecasting, market intelligence, and competitor insights.
 </li>
 <li>
 Assist in preparing presentations, RFP responses, and business reviews.
 </li>
 </ul>
 
 
 
</div>

Corporate Sales- AM/Manager (Locations-Hyderabad/Gandhinagar/Chandigarh/Vadodara)

Saint-Gobain Group in India

<div>
 To develop and expand the business in Industrial &amp; building segments in assigned/ territory.
 
 
 <ul>
 <li>
 Responsible to deliver targets on sales volume, price and grow the business significantly &amp; consistently
 </li>
 <li>
 Responsible for market intelligence, generating project leads &amp; proactively pursuing them to a logical conclusion.
 </li>
 <li>
 Generate inquiry data bank &amp; track the progress on regular basis and seek support wherever required.
 </li>
 <li>
 Drive brand / product differentiation in the market by Thermal / Acoustic Performance of Stonewool and Glasswool products.
 </li>
 <li>
 To work with sales team, System-providers like drywall companies, roofing, civil, insulation contractors and HVAC contractors, to develop techno-commercially viable and value-added insulation solution for this sector.
 </li>
 <li>
 Closely co-ordinate with all supporting functions to deliver upon the agreed business strategy.
 </li>
 <li>
 Create Brand / Product awareness based on applications / performance among the specification community/ OEMs &amp; look for opportunities for converting other types of insulation to Stonewool and Glasswool in Industrial &amp; building segments.
 </li>
 <li>
 Implement all key initiatives to achieve the strategy &amp; growth.
 </li>
 <li>
 Develop &amp; maintain effective networking with Architects and Consultants within the Industrial &amp; building segments through specifications.
 </li>
 <li>
 Promote System Selling for dry wall partitions, sandwich panel applications etc.
 </li>
 <li>
 Thorough knowledge about Thermal calculations &amp; energy savings and solution based technical bidding.
 </li>
 <li>
 Track the Stonewool and Glasswool specified projects &amp; ensure their conversion by closely working with sales team in the region.
 </li>
 <li>
 Independently submit and clear technical bids and work with sales team to clear techno commercial bids.
 </li>
 </ul>
</div>

Asst.Manager - Sales & Specification

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