Sales Head

About E2M:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing .Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together .If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

Role Overview

We are looking for an Associate Client Account Manager who will support client relationship management and ensure smooth delivery of services across assigned accounts.

In this role, you will work closely with senior account managers, internal delivery teams, and agency partners to maintain strong client communication, coordinate execution, and contribute to client satisfaction and retention.

As E2M continues integrating AI-driven solutions into client services, the ideal candidate should also possess a foundational understanding of AI concepts and their application within digital agency workflows.

Key Responsibilities

• Act as a day-to-day point of contact for assigned client accounts under the guidance of senior team members.
• Support client communication to ensure clarity, responsiveness, and a positive overall experience.
• Coordinate with cross functional teams to ensure timely delivery.
• Assist in managing client expectations, timelines, and deliverables.
• Capture client feedback and communicate insights internally.
• Help monitor account health, delivery progress, and service quality.
• Support account retention and identify opportunities for incremental growth.
• Proactively flag risks, delivery challenges, or client concerns.
• Maintain strong professional relationships with clients and internal stakeholders.
• Collaborate cross-functionally to ensure a seamless client journey.
• Participate in discussions around AI-enabled services by understanding basic AI capabilities and communicating value when relevant.

Requirements

• 2–3 years of experience in a digital marketing, creative, or web design/development agency environment.
• Exposure to handling or coordinating digital/web-based projects.
• Good understanding of digital marketing and web technologies (coding not required).
• Basic understanding of Artificial Intelligence (AI) concepts and their role in digital marketing, automation, or client delivery workflows.
• Strong organizational and multitasking abilities.
• Clear, professional, and structured communication skills.
• Ability to build relationships with clients and internal teams.
• Familiarity with project management or collaboration tools (ClickUp, Basecamp, or similar) is a plus.
• Ability to work both independently and collaboratively.
• Exposure to working with Sales, Pre-sales, or Account Management teams is preferred.
• Strong attention to detail and presentation skills.
• Experience working with North American clients or across time zones is an advantage.

What You’ll Gain

• Opportunity to work with global digital agencies.
• Structured learning and mentorship from experienced account managers.
• Exposure to AI-enabled digital service delivery.
• A high-performance environment focused on client success and quality.
• Clear career progression toward Client Account Manager and Senior Client Account Manager roles.

As the Senior Executive-Account Manager, you will be responsible for developing, implementing, and optimizing multi-channel lead generation campaigns to build a robust pipeline for our sales team. You will demonstrate market understanding of the Talent/Capability Development (learning/e-learning, custom learning, localization, and translation) services/produts and markets and will be adept at customer engagement. This role demands a candidate with analytical prowess to interpret data and drive decisions, coupled with strong collaboration skills to work effectively with sales and marketing.

Roles &Responsbilities -

•  Lead Generation Strategy Development: Define and implement comprehensive lead generation strategies encompassing learning/e-learning, localisation, and translation services, aligning with overall sales and marketing objectives. This includes identifying target audiences, understanding their needs, and determining the most effective channels to reach them.

•    Multi-Channel Campaign Management: Plan, execute, and optimize lead generation campaigns across various online and offline channels. This includes digital marketing (SEO/SEM, content marketing, social media marketing, email marketing, webinars, online advertising) and outbound activities (targeted outreach, industry events, networking).

•    Content Strategy Collaboration: Work closely with the marketing team to develop compelling content that attracts and converts target prospects for learning/e-learning, localisation, and translation products/services.

•    Marketing Automation and CRM Management: Utilize marketing automation platforms and CRM systems to manage lead generation processes, track campaign performance, nurture leads, and ensure seamless handoff to the sales team.

•    Performance Monitoring and Analysis: Track, measure, and analyze the performance of lead generation campaigns using relevant metrics. Provide regular reports and insights to the sales and marketing teams, recommending optimizations for improved results.

•    Collaboration with Sales: Work closely with the Sales Manager and sales team to understand their needs, ensure lead quality, and optimize the lead-to-opportunity conversion process for learning/e-learning, localisation, and translation products/services.

•    Market Research and Competitive Analysis: Conduct ongoing market research to identify new lead generation opportunities, understand industry trends in learning/e-learning, localisation, and translation, and analyze competitor activities.

•    Budget Management: Manage the lead generation budget effectively, ensuring optimal ROI on marketing and outreach activities.

•    Vendor Management: Manage relationships with external vendors or agencies supporting lead generation efforts.

•    Staying Updated: Keep abreast of the latest trends and best practices in lead generation, digital marketing, and sales enablement for learning/e-learning, localisation, and translation product/service-based industries.

Bachelor's degree in Marketing, Business Administration, or a related field.

Qualification and Experience -

•    Minimum of 8-10 years of experience in pre-sales/lead generation, preferably in the learning/e-learning, localisation, and translation industry or a related technology sector.

•    Proven track record of success in developing and executing lead generation strategies, preferably with experience in the B2B sector.

•    Experience in generating leads for technology products, SaaS solutions, or service-based offerings is highly desirable.

•    Familiarity with the learning/e-learning, localisation, and translation industries is a significant advantage.

•    Strong understanding of digital marketing principles and channels.

•    Experience with marketing automation platforms and CRM systems.

•    Excellent analytical skills and the ability to interpret data to drive decisions.

•    Strong project management and organizational skills.

•    Excellent written and verbal communication skills.

•    Ability to work independently and collaboratively within a team environment.

•    Proactive, results-oriented, and data-driven approach. 

•   Willingness to travel as required by business.

•   Deep understanding of AGILE methodologies and extensive experience working within a learning, educational technology, or complex content delivery environment.

As a Senior Accountant, you will be responsible for overseeing day-to-day accounting functions, 

ensuring statutory compliance (GST/TDS), and preparing accurate financial statements. You will 

play a key role in reconciling accounts across our multiple retail and manufacturing units. 

Key Responsibilities 

●Financial Reporting: Prepare and record asset, liability, revenue, and expense entries by 

compiling and analyzing account information.

●Statutory Compliance: Handle end-to-end GST compliance, including monthly/annual 

filings and reconciliation of GST input books with GSTR-2B.

●Taxation: Manage TDS returns and ensure all statutory payments are made on time.

●Reconciliation: Perform daily and monthly bank reconciliations, vendor reconciliations, 

and inter-branch accounting.

●Finalization: Assist in the finalization of accounts, including Balance Sheet and P&L 

preparation.

●ERP Management: Maintain accurate records in the company’s accounting software 

(Tally/GoFrugal/SAP) and ensure data integrity.

●Audit Support: Coordinate with internal and external auditors for periodic reviews.

Requirements

Required Qualifications & Skills 

●Education: Bachelor’s or Master’s degree in Commerce (B.Com/M.Com), Finance, or 

related field. Inter-CA. 

●Experience: 5–10 years of experience in accounting, preferably within the FMCG, Food 

Industry, or Manufacturing sectors. 

●Technical Skills: * Expertise in GST & TDS laws and filing processes.

○Proficiency in Tally Prime or ERP systems (GoFrugal experience is highly valued). 

○Advanced Microsoft Excel skills (VLOOKUP, Pivot Tables). 

●Soft Skills: High attention to detail, analytical mindset, and the ability to meet strict 

reporting deadlines.

Location is Ajwa road

US IT Recruiter

Location: Trichy, Tamil Nadu (Onsite)

Company: VDart Inc.

Experience: 3 – 5 Years

Employment Type: Full-Time

About VDart Inc.

VDart Inc. is a global IT staffing and solutions company with a strong presence in the United States and India. We partner with Fortune 500 clients and deliver talent across various domains and emerging technologies. We’re currently expanding our recruitment team and are looking for experienced US IT Recruiters to join our Trichy office.

Key Responsibilities

·      Manage the complete recruitment life cycle for contract, contract-to-hire, and permanent roles in the US IT space.

·      Source candidates from job portals (Dice, Monster, CareerBuilder), LinkedIn, internal databases, and references.

·      Screen and qualify candidates based on job requirements, technical skills, and cultural fit.

·      Coordinate interviews, negotiate pay rates, and close offers with candidates.

·      Work with Account Managers to understand client requirements and deliver within deadlines.

·      Maintain ATS records, update candidate pipeline, and ensure compliance with recruitment standards.

Required Skills & Experience

·      3 to 5 years of proven experience in US IT Recruitment.

·      Strong knowledge of W2, C2C, and 1099 hiring models.

·      Hands-on experience with sourcing tools like Dice, Monster, and LinkedIn Recruiter.

·      Familiarity with VMS portals such as Beeline, Fieldglass, IQNavigator is a plus.

·      Excellent communication, negotiation, and interpersonal skills.

·      Willingness to work in a fast-paced, result-driven environment at our Trichy office.

Key Responsibilities:

Analyze business requirements and translate them into functional specifications for SAP PP, QM, and Variant Configuration.

Configure and customize SAP PP and QM modules, including master data, process orders, quality inspections, notifications, and control plans.

Design and implement Variant Configuration models (using Class, Characteristics, Object Dependencies, and Super BOMs/Routings).

Collaborate with cross-functional teams to support end-to-end production and quality processes.

Provide ongoing support and continuous improvements for SAP PP/QM and VC functionality.

Qualifications:

5+ years of hands-on experience with SAP PP and QM modules.

Proven experience in SAP Variant Configuration (LO-VC).

Strong understanding of manufacturing and quality processes.

Experience with SAP S/4HANA is a plus.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

• Supporting the development and execution of product strategies and roadmaps
• Conducting market research and competitive analysis to identify market trends and opportunities
• Collaborating with cross-functional teams to define product requirements and specifications
• Working closely with Engineering to ensure the timely delivery of product features and enhancements
• Assisting in the planning and execution of product launches and go-to-market strategies
• Analyzing product performance data to inform product decisions and prioritize feature development
• Supporting customer success and sales teams in product-related inquiries and escalations
• Quick Turnaround Time
• Good communication skills,
• ability to work with creative and technical departments
• Self-motivation,
• ability to work under pressure and meet deadlines
• Receptive to constructive criticism
• delivering changes as directed Technical know-how

Security Monitoring and Operations (SIEM)
Security Solutions design and deployment
IDAM - Identity and Access Management Experience
Network Monitoring and Management Experience
VAPT - Vulnerability Assessment and Penetration Assessment
Experience on DLP and Endpoint Security
Knowledge on Encryption 
Experience in performing Maturity Assessment for identifying the security gaps and recommending measures to fix the gaps
Experience in Audit controls and applying security measures (ISO, PCI etc..)
Knowledge in automation and scripting