Job Profile Summary
Responsible for the day-to-day management of assigned account(s). Manages/coordinates Client projects from planning to completion. May serve as the daily contact between the Agency and the Client. Effectively executes strategies, problem-solves, and develops solid business relationships. Provides Client service support.
Job Description
- Social Media Manager is responsible for the day-to-day execution of client projects. May serve as the daily contact between client and agency.
- -Proactive in developing and maintaining a close and productive relationship with key client contacts, acting with integrity at all times and including the SAM or AD in communications as appropriate.
- Develops a thorough understanding of the client’s business and be proactive in maintaining and sharing your knowledge of the industry in which they operate.
- Ensures client requests are dealt with promptly and developed into internal briefs by you and your team, distinguishing between a good and poor client brief and proactively ensuring clarity on agreed actions
- Ensures to gain client sign-off at the relevant project stages, involving the SAM/AD when appropriate
- Ensures the work that you send to the client and that of anyone you oversee, is completed in a timely fashion and is of the upmost quality, with high levels of accuracy, attention to detail and relevance to brief ¾ Before a project leaves the agency, ensures that all mandatory requirements have been considered and acted upon to gain sign off by the relevant Production Lead and client
- Identifies and solves problems as they arise, appreciating when it is appropriate to involve or notify the SAM and / or the AD
- Checks contact reports of key meetings and telephone conversations prepared by your team, ensuring these are issued to the client within 24-48 hours
- Proactively manages jobs and the Production Schedule, to ensure that they are scheduled on time, to budget and are monitored using appropriate administration procedures
- Supports those overseen in the prioritization of their tasks, in line with the wider Account
- Handling Team’s activity and objectives, to ensure team deadlines are met. Where necessary, proactively liaises with the SAM and / or AD to ensure priorities are aligned
- Ensures research and background information is prepared the team, for briefs/pitches / presentations as appropriate. Demonstrates capability in contributing to such meetings as needed
- Works with a multi-disciplinary team, developing strong working relationships with the
- Production Team to ensure they can add value and client requirements are managed to realistic timescales and associated budgets are appropriate. Oversees this activity within your team as necessary
- Supports the SAM and/or AD and working with the Insights & Planning Team proactively develops an understanding of strategy and how this applies to the projects you are delivering. Applies and relay this knowledge in an appropriate way
- Proactive in identifying and progressing new business opportunities Administration and financial management
- Monitors ongoing costs throughout individual campaigns
- Ensures accurate quotations for production are produced and distributed at the beginning of any campaign, by you and those that you oversee
- Proactively manages the maintenance of job numbers and job records
- Ensures a systematic and efficient filing system is maintained
- Mentor Junior Account Handlers in managing project finances appropriately

Similar jobs
Job Title: Data Engineer
Location City: Gurugram
Industry: Research and Advisory Services
Role Overview
We are looking for a Senior Data Engineer (7–10 years) to play a foundational role in building Everest Group’s greenfield, Snowflake-based enterprise data platform.
This role is hands-on and ownership-driven, with a strong focus on:
Ingesting data from enterprise SaaS platforms Building scalable Snowflake ELT pipelines
Designing analytics-ready data models Owning the initial Snowflake platform foundations in collaboration with architecture leadership The ideal candidate has deep experience integrating CRM and marketing systems via APIs, is comfortable operating production- grade data pipelines, and can make sound decisions around performance, cost, and reliability.
Key Responsibilities
Robust Data Ingestion Pipelines From Enterprise SaaS Platforms, Including
Salesforce (CRM)
NetSuite (Finance)
Marketing and RevOps tools such as Marketo, 6sense, Gong
SharePoint (files, metadata, permissions)
Develop API-based Ingestion Frameworks Handling
Authentication and authorization
Pagination, rate limits, retries, and failures
Incremental loads, soft deletes, and historical tracking
Schema evolution and upstream source changes
ELT pipelines within Snowflake Write high-quality, optimized SQL for complex
transformations Build and manage data layers including raw, staged, and curated datasets
Optimize Snowflake warehouses, storage, and query performance with a strong focus on cost efficiency
Models Including
Fact and dimension tables
Star and snowflake schemas
Slowly Changing Dimensions (SCD Type 1 and Type 2) Ensure data models support reporting, dashboards, and research analytics Partner with analytics and research teams to deliver analytics-ready, well documented datasets reliability including scheduling, monitoring, alerting, and recovery Implement data quality checks for accuracy, completeness, and freshness
Support Snowflake Platform Foundations Including
Warehouse and environment strategy (dev/test/prod)
Role-based access control (RBAC) Secure handling of sensitive HR and finance data (PII) Troubleshoot and resolve data issues across ingestion, transformation, and consumption layers research, product, and technology stakeholders to translate business needs into data solutions Contribute to data platform architecture discussions and continuous improvement initiatives
Maintain clear documentation for pipelines, data models, and data flows
Follow modern engineering practices including Git-based version control and CI/CD workflows
Education And Experience
Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Mathematics, or related field.
7–10 years of hands-on experience in data engineering or similar roles
Strong hands-on expertise with Snowflake, including ingestion, transformations, and performance optimization
Proven experience ingesting data from SaaS platforms via APIs (HR, CRM, or Marketing systems)
Advanced SQL skills and strong understanding of relational databases and data modeling
Strong Python experience for API integration, data ingestion, and automation Experience with cloud platforms (Azure preferred; AWS/GCP acceptable)
Experience with orchestration or transformation tools such as dbt, Azure Data Factory, or similar
Strong problem-solving skills, ownership mindset, and attention to detail
We are hiring for GEN AI + Python + LLM, Langchain +Azure AI Stack role
If you're interested in this position, revert to this mail along with your updated CV.
Experience : 5 to 12 years
Location : Hyderabad, Bangalore
Required Skill set : Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. OpenAI technologies and applications,including Azure OpenAI GPT models. FastAPI,RESTful APIsAzure,Google Cloud Platform.TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
Roles & Responsibilities :
We are seeking a Senior AI Developer with expertise in Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. The ideal candidate will have strong analytical and communication skills, be proactive, and possess the ability to lead small teams independently.
- Proficient in Python programming and machine learning frameworks
- Strong experience in developing and deploying machine learning models
- Proficiency in deep learning for Natural Language Processing (NLP) using BERT, GPT, and other Transformer-based models
- Basic understanding of computer vision techniques for image recognition or object detection
- Hands-on experience with OpenAI technologies and applications, including Azure OpenAI GPT models
- Experience integrating backend systems with APIs and libraries such as Hugging Face Transformers
- · Proficient in FastAPI for building and deploying RESTful APIs
- Experience with CI/CD pipelines for deploying FastAPI applications
- Experience with cloud platforms such as Azure (including Azure Stack) or Google Cloud Platform (GCP) for deploying AI solutions
- Experience in data engineering, including data curation, cleaning, and preprocessing large-scale datasets for generative AI applications
- Proficiency in using vector databases and NoSQL databases such as Elasticsearch or Azure Cosmos DB
- Experience with Autogen and MCP for automation and model management
- Knowledge of Docker and Kubernetes for containerization and orchestration
- Proficiency with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
- Understanding of AI evaluation metrics, data privacy, security, and ethical considerations in AI applications
- Strong analytical and problem-solving skills
- Strong communication skills with the ability to collaborate effectively in a team environment
- Proactive attitude with the ability to independently lead small teams
Job Title: QA Engineer – Blockchain / Web3 / DApps
Location: Noida (Onsite)
Experience: 3+ Years
About the Role
We are looking for a detail-oriented QA Engineer with hands-on experience in Blockchain, Web3 Wallets, and Decentralized Applications (DApps). The ideal candidate will ensure the reliability, performance, and security of blockchain-based products through both manual and automated testing.
Key Responsibilities
- Design, develop, and execute test cases for Blockchain applications, Web3 Wallets, and DApps.
- Perform functional, integration, regression, and performance testing across blockchain ecosystems (Ethereum, Polygon, BSC, etc.).
- Test Web3 wallet integrations (MetaMask, Trust Wallet, WalletConnect, Coinbase Wallet).
- Validate smart contracts using Hardhat, Truffle, Remix IDE, and Blockchain Explorers (Etherscan, Polygonscan, BSCscan).
- Conduct API testing (REST, GraphQL, Web3 APIs) using Postman, Newman, and Insomnia.
- Automate UI & functional tests using Selenium, Cypress, or Playwright.
- Perform mobile DApp testing using Appium.
- Collaborate with developers, product managers, and blockchain engineers to identify and resolve defects.
- Document test plans, strategies, and reports in Confluence/JIRA.
- Participate in CI/CD pipelines for test automation (Jenkins, GitHub Actions).
Required Skills & Tools
- Blockchain & Web3: Ethereum, Polygon, Binance Smart Chain, Ganache, Hardhat, Truffle, Remix IDE
- Wallet Testing: MetaMask, Trust Wallet, WalletConnect, Coinbase Wallet
- Automation & QA Tools: Selenium, Cypress, Playwright, Appium
- API Testing: Postman, Newman, Insomnia
- Performance Testing: JMeter, Locust, k6
- Version Control & CI/CD: Git, GitHub, GitLab, Jenkins, GitHub Actions
- Bug Tracking & Collaboration: JIRA, Trello, Confluence
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 3+ years of QA experience, with at least 2 years in Blockchain/Web3.
- Strong understanding of smart contracts, wallets, and decentralized apps.
- Hands-on experience with test automation frameworks and API testing.
- Excellent problem-solving, debugging, and communication skills.
Key Responsibilities:
Assist in identifying new customers and generating sales leads
Support regular calling activities for lead follow-ups and client engagement
Help explain product features and assist customers in making the right choice
Contribute to meeting team sales targets
Coordinate with internal teams for smooth order processing and customer satisfaction
Requirements:
Interest in sales, marketing, or customer service roles (home décor industry is a plus)
Strong communication and interpersonal skills
Proficient in both English and Kannada (spoken)
Basic knowledge of MS Excel and Google Sheets
Self-motivated, eager to learn, and goal-oriented
- Have you used Swift in production code ? If yes please share the duration
- Have you used RxSwift in production code? What were the common scenarios for using it ?
- Have you used Combine in production code? What were the common scenarios for using it ?
- Have you used GCD or Operation queues in production code? What were the common scenarios for using it ?
- Have you used CocoaPods or Swift Package Manager for dependancy handlings in any of the projects you have worked ? What were the common scenarios for using it ?
- Have you used any of MVVM or VIPER or any other architecture in production code? Please specify which one.
- What size team have you been a part of? Were there interactions with designers, Product Managers and/or testers?
- Share links of your app/s on the App Store that you have contributed to.
NEST® [NESTECH]
NEST® works with a range of international clientele in the development of bespoke software solutions. NEST® specializes in data and direct engagement structures, digital marketing, data with
blockchain security and much more. NEST® founders have had decades in the visual arts,architecture, sculpture as well as inking the human canvas. More mundanely, from fifteen countries our formal training is in law, philosophy, international logistics and technology. There are currently
NEST® branch offices in England, Singapore, USA and India. What happened yesterday isn’t important. We believe what you privately achieve tomorrow is.
JOB DESCRIPTION:
Job Title: GoLang Developer
Location: Pune (Remote)
We are seeking a dedicated Golang developer to join our growing company.
You will collaborate with other technical staff to deliver and maintain a fully-functional software implementation. We hope you can put your passion for software engineering to work for creating
highly immersive user applications.
Your duties will include maintaining code repositories via GitHub and internal server storage modules.
Responsibilities:
• Below are some of the responsibilities a Golang developer is expected to undertake in their position
• Employ Linux Terminal command structures to allow easy back-end operations for less-expert technical staff
• Collaborate with other technical staff to ensure consistent and smooth workflows
• Manage multiple projects within reasonable design specifications and budget restrictions
• QA design for errors
• Implement feedback and changes whenever possible
• Create visualizations that convey accurate messaging for the project etc.
Job Qualifications and Skill Sets:
• Many Golang developers have at least a bachelor’s degree in computer science, IT, or a related field, such as programming. Other critical skills for successful Golang developers
include:
• Provable proficiency in Go programming
• Excellent written and verbal communication skills
• Minimum of two years’ experience working in programming or information technology
• Attention to detail
• Knowledge in Java or Python is recommended
• Portfolio of work with examples that showcase technical skill
• Strong analytical skills
• Time management and organizational skills
• Knowledge of Go templating, common frameworks, and tools
• Experience working with a team
• Experience working with web servers in Golang and developing apps for Mac, windows and linux.
NEST® OFFERS
● Competitive Salary
● Flexible Hours
● Paid Vacations
● Fun & Creative Environment / Projects
● Quarterly Performance Reviews
● Generous Bonus Schemes
● Oversea Working Placements
● Dynamic International Clientele
● Multiple Learning Opportunities
● Control And Work On Full Product Life-Cycle
● Research and Implement Multiple New Technologies
Role : .NET Developer
Work Location : Pune -Bhavdhan (WORK FROM OFFICE)
Mandatory Skills
- C#.NET Core 3.1, 5
- MVC
- MS SQL Server/Any Data base
Optional Skills
- Microsoft Active Directory
- Cloud â€" Azure/AWS
- Angular/ React
- CI-CD
- Within a team of more than 60 people, you will be in charge of: entire HR activities and will carry out the following duties:
- Managing company staff, including coordinating, and supporting the recruitment process.
- Manage Internal and External communication related to HR
- Bridging management and employee relations by addressing demands, grievances, or other issues 4) Preparation and implementation of HR policies and guidelines
- Support Group policies, good practices and guidelines to managers and monitoring they are properly applied locally
- Compliance implementation and grievance handling. Nurture a positive working environment
- Ensure legal compliance throughout human resource management
- Employee engagement Activities, General administration work at Bangalore office including procurement of office supplies
- Coordination with suppliers, vendors, and service providers for Ecocert
- Maintaining knowledge of changing trends, best practices, regulatory changes in human resources and associated fields.
Education:
- Bachelor’s degree + Diploma/MBA in HR
- Experience: 5+ years in human resources (proven working experience as HR Manager or HR Executive) or recruitment
Technical skills: -
- In-depth knowledge of labour law and HR best practices
- Demonstrable experience with Human Resources metrics
- Extensive knowledge of HR policies and systems
- Knowledge of HR systems and databases (HRIS)
- Familiarity with HR software and working knowledge of MS Office
Behavioural skills:
- Exceptional communication skills, writing skills, interpersonal skills, and ethical mindset
- People oriented and results driven
- Ability to architect strategy along with leadership skills
- Autonomy, proactivity, accountability
- Attention to details
- Adept to problem-solving and conflict resolution
- Excellent active listening, negotiation, communication, and presentation skills.
- Handle confidential matters with discretion
• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations








