Key Account Manager for a Digital Marketing Agency

Position: Product Manager

Experience: 2+ years

Location: Remote

Employment Type: Full-Time

About Us:

MyOperator is a leading innovator in Cloud Telephony, dedicated to delivering exceptional products and services to our customers. We are looking for a dynamic and experienced Product Manager to join our team and help drive our product vision to new heights.

Responsibilities:

• Product Strategy & Vision: Define and execute the product strategy and roadmap, ensuring alignment with the company’s overall objectives.
• Requirement Documentation: Create detailed Product Requirement Documents (PRDs) that clearly communicate product needs and specifications.
• UI/UX Decisions: Lead UI/UX decision-making processes, ensuring an intuitive and engaging user experience.
• Data-driven decision-making: Utilize a data-driven approach to analyse market trends, user feedback, and product performance to make informed decisions.
• Cross-functional collaboration: Work seamlessly with tech, sales, and marketing teams to ensure cohesive product development and go-to-market strategies.
• Analytics Tools: Employ analytics tools such as Mixpanel, Google Analytics, and Adobe Analytics to monitor product performance and user behaviour.
• Project Management: Utilize Jira for project tracking, ensuring timely product milestone delivery and promptly addressing any blockers.

Qualifications:

• Experience: Minimum of 2 years of experience in product management.
• Communication Skills: Excellent verbal and written communication skills.
• Profound knowledge of LLMs and ML models for NLP applications and exposure to conversation commerce.
• Mobile App Development: Drive the development and enhancement of mobile applications, ensuring they meet user needs and market demands.
• Experience in the Whatsapp business ecosystem is advantageous.
• Analytical Skills: Strong data-driven decision-making capabilities, with experience using Mixpanel, Google Analytics, and Adobe Analytics.
• Experience with Jira or similar project management tools.
• Education: Bachelor’s degree in Computer Science, Engineering, Business, or a related field. An MBA is a plus.
• Problem-solving: Strong problem-solving skills and the ability to think strategically and innovatively.

Benefits:

• Opportunity to work with a dynamic and innovative team.
• Competitive salary and benefits package.
• Career growth and development opportunities.
• Collaborative and inclusive work environment.
• Remote working

Roles and Responsibilities:

The purpose of the role is to provide timely, accurate and quality MIS reports, dashboards to the external & internal stakeholders of account(s) as per the defined process and standards of security and compliance.

• Prepare timely and accurate MIS reports and dashboards as required by the stakeholders

• Interact and work closely with management, internal stakeholders & clients to understand the business information needs

• Ensuring all reports & dashboards are prepared as per stakeholder requirements as per the desired frequency (weekly/ monthly/quarterly)

• Ensure regular review with the MIS Team Lead for 100% accuracy before populating any customized dashboard or generating any customized report

• Track and follow up with relevant stakeholders for timely updation and data management of parameters (key SLA metrics such as run-rate etc.) • Generate account level reports (billable and non-billable) on forecasting, scheduling (both onshore and offshore) and performance against SLAs, CSAT, Quality etc.

• Ensure zero non-compliances on process audit on data security and compliance

• Support and adopt tools and systems for efficient MIS generation and reporting system

• Continuous support to the manager in rolling out new techniques and initiatives to increase productivity

• Providing update to the manager on the progress of any new MIS initiatives

• Perform periodic maintenance and servicing of MIS system to improve operational efficiency

• Adopt new tools, technology solutions and develop capability through training to improve his own productivity.

• Develop analytical skills and understanding of statistical analysis to suggest improvement in the quality of analysis

• Stakeholder management

• Coordinate with internal and external stakeholders for collation and accuracy of data

• Provide timely assistance in case of an escalation and support resolution of escalations/ issues

Additional Skills:

● Should have good knowledge of MS Excel and hands on experience in making reports

● Analytical Skills

● Data Visualization Skill

● Advance Knowledge of MS-Office/ Office 365

Location: Mumbai

Job Type: Full-Time (Hybrid – 3 days in office, 2 days WFH)

Job Overview:

We are looking for a skilled Azure Data Engineer with strong experience in data modeling, pipeline development, and SQL/Spark expertise. The ideal candidate will work closely with the Data Analytics & BI teams to implement robust data solutions on Azure Synapse and ensure seamless data integration with third-party applications.

Key Responsibilities:

• Design, develop, and maintain Azure data pipelines using Azure Synapse (SQL dedicated pools or Apache Spark pools).
• Implement data models in collaboration with the Data Analytics and BI teams.
• Optimize and manage large-scale SQL and Spark-based data processing solutions.
• Ensure data availability and reliability for third-party application consumption.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.

Required Skills & Experience:

3–5 years of hands-on experience in:

• Azure data services
• Data Modeling
• SQL development and tuning
• Apache Spark
• Strong knowledge of Azure Synapse Analytics.
• Experience in designing data pipelines and ETL/ELT processes.
• Ability to troubleshoot and optimize complex data workflows.

Preferred Qualifications:

• Experience with data governance, security, and data quality practices.
• Familiarity with DevOps practices in a data engineering context.
• Effective communication skills and the ability to work in a collaborative team environment.

About Antier Solutions

Antier Solutions is a global leader in blockchain, DeFi, and tokenization, driving regulatory-compliant Web3 innovations. As the industry evolves, ensuring legal and regulatory compliance is critical for sustainable growth.

We are looking for a General Counsel / Head of Crypto Compliance & Regulatory Affairs (initially outsourced) to lead compliance for token launches, fundraising, and Web3 business models while working with global regulatory bodies.

This is a high-impact role, perfect for an expert in crypto law, fintech regulations, and international securities compliance.

Role Overview

As the General Counsel / Head of Crypto Compliance, you will:

✔ Oversee regulatory compliance for token sales, fundraising, and Web3 projects.

✔ Liaise with global regulators (SEC, MAS, ESMA, DIFC, FCA, etc.) to ensure licensing and structuring.

✔ Ensure adherence to AML/KYC, investor protections, and jurisdiction-specific legal frameworks.

✔ Mitigate legal risks associated with crypto exchanges, DeFi protocols, and NFT marketplaces.

✔ Develop internal legal policies to align with global securities, tax, and financial regulations.

Key Responsibilities

1. Legal & Regulatory Compliance for Web3 & Token Launches

• Ensure full compliance for ICOs, IDOs, STOs, and private token sales.
• Provide regulatory guidance on structuring utility vs. security tokens.
• Work with securities and financial regulators to ensure legally compliant fundraising mechanisms.
• Assess and mitigate legal risks related to smart contracts, tokenomics, and DAOs.

2. Global Licensing & Regulatory Affairs

• Work with SEC (USA), MAS (Singapore), FCA (UK), ESMA (Europe), and DIFC (Dubai) on crypto licensing & approvals.
• Support the acquisition of Virtual Asset Service Provider (VASP) licenses in multiple jurisdictions.
• Develop cross-border compliance strategies for international Web3 operations.

3. AML/KYC, Investor Protection & Jurisdictional Compliance

• Oversee AML (Anti-Money Laundering) & KYC (Know Your Customer) policies for token sales & DeFi platforms.
• Ensure compliance with FATF Travel Rule, GDPR, and data privacy laws in crypto transactions.
• Implement investor protection mechanisms to comply with securities and exchange laws.

4. Risk Management & Smart Contract Legal Audits

• Conduct legal due diligence on Web3 projects before fundraising rounds.
• Work with blockchain developers to audit smart contracts for legal risks.
• Establish corporate governance frameworks for DAOs and decentralized projects.

5. Internal Legal Advisory & Policy Development

• Draft terms of service, privacy policies, and compliance documentation for blockchain platforms.
• Provide legal counsel on intellectual property rights for NFTs and metaverse projects.
• Advise the executive team on emerging regulatory changes affecting the crypto industry.

Key Qualifications & Experience

Must-Have:

✅ 5-10+ years in crypto/fintech law, regulatory compliance, or legal advisory.

✅ Deep understanding of crypto regulations, securities law, and DeFi compliance.

✅ Experience working with global regulatory bodies (SEC, MAS, FCA, ESMA, DIFC, etc.).

✅ Expertise in AML/KYC frameworks, FATF Travel Rule, and investor protection laws.

✅ Familiarity with token classifications (security vs. utility) and Web3 fundraising structures.

Preferred:

• Experience with VASP licensing, DAO governance, and smart contract legal audits.
• Strong connections with global law firms, compliance officers, and financial regulators.
• Understanding of cross-border tax implications for digital assets and stablecoins.
• Prior involvement in legal structuring for blockchain startups and crypto exchanges.

Why Join Antier Solutions?

🚀 Lead compliance for cutting-edge Web3 projects in a legally evolving industry.

🌍 Work with top-tier regulators, VCs, and blockchain pioneers.

💰 Shape tokenomics models and investor protections for high-growth crypto ventures.

🤝 Be part of a global blockchain consultancy driving regulatory excellence.

Description: 

As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights. 

Key Responsibilities: 

1. Team Leadership: 

a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management. 

b. Foster a culture of innovation, collaboration, and continuous learning within the team. 

2. Data Pipeline Development (Google Cloud Focus): 

a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.

b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP. 

3. Data Architecture and Optimization: 

a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently. 

b. Optimize data storage, processing, and retrieval for maximum 

performance and cost-effectiveness on GCP. 

4. Data Governance and Quality: 

a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues. 

5. Cross-functional Collaboration: 

a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights. 

b. Participate in discussions regarding data strategy and provide technical expertise. 

6. Documentation and Best Practices: 

a. Create and maintain documentation for data engineering processes, standards, and best practices. 

b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed. 

Qualifications 

● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 

● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform. 

● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage. 

● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java. 

● Excellent problem-solving and communication skills. 

● Leadership experience and the ability to manage and mentor a team.

Key Responsibilities:

1. Responsible for planning, implementing and directing the sales activities of the company in a designated area to achieve sales objectives 

2.Telugu & Kannada language candidates are more preferable with good english proficiency 

3 . Develop a sales strategy to achieve organizational sales goals and revenues 

4. Sales Closure of hair and skin clients 

5. Responsible for driving consultation to Location allotted 

6. Develop and implement new sales initiatives, strategies and programs. 

7. Contacting potential client via email or phone to establish rapport and set up meetings 

8. Developing sales goals for the team and ensuring they are met 

9. Negotiating on phone, email or in-person 

10. To provide report and feedback to upper management about what is and is not working 

11. To provide detailed report and feedback to upper management 

12. Extensive Follow-up for the Clients allotted 

13. Giving client good client experience

• 5to 7 years plus experience having implemented Adobe Experience Manager based Solution in a large scale environment
• Deep understanding of Adobe AEM, Apache Sling, Servlets
• Experience developing applications, templates, and components for the Adobe AEM product (WCM, DAM, CRX)
• Experience customizing workflows and integration with other enterprise systems
• Demonstrated experience with Java, JavaScript, HTML5, CSS3, and related technologies
• Expertise in Java, web development experience, and other Content management system experience.
• Great understanding of Web technologies like XML, HTML, Client Server-side scripting languages such as JavaScript, JSP, and web services development using RESTful implementations.
• Should have exposure on the continuous integration build tools and code quality tools

Responsibilities

• Develop digital consumer experiences based on a foundation of the Adobe AEM product suite, including AEM, CRX, Target, and DAM
• Translate marketing and website needs into AEM specific recommendations and solutions
• Leverage AEM, other state-of-the-art technologies, and integration patterns to solve cross-departmental challenges
• Design and improve internal development methodologies around Adobe AEM solution
• Develop front end and back end components using AEM

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users