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Job Title: Senior Manager for Ecommerce**

**Location:** [Faridabad]

**About Us:**

[Pannkh] is a dynamic and rapidly growing e-commerce company focused on Women apparels. We specialize in providing top-quality products to our customers through various online marketplaces. As a leader in the industry, we are looking for a seasoned Senior Manager to join our team and drive our catalog operations to new heights.

**Key Responsibilities:**

**1. Catalog Management:**

- Oversee the end-to-end process of checking and uploading catalog content to ensure accuracy, completeness, and compliance with platform guidelines.

- Develop and maintain a standardized catalog format for optimal customer experience and search optimization.

**2. Quality Control (QC) of Catalog:**

- Implement robust quality control processes to ensure the accuracy and consistency of product listings, images, and descriptions.

- Address and rectify any discrepancies or issues identified during the QC process.

**3. Business Development:**

- Collaborate with cross-functional teams to identify opportunities for product expansion and assortment growth.

- Establish and maintain relationships with suppliers, manufacturers, and distributors to source new and unique products.

**4. Inventory Management:**

- Monitor inventory levels, forecast demand, and coordinate with procurement and fulfillment teams to optimize stock levels.

- Implement strategies to minimize overstock and stockouts, ensuring efficient use of resources.

**5. Marketing on Marketplaces:**

- Develop and execute marketing strategies on various online marketplaces to enhance product visibility and drive sales.

- Utilize marketplace tools and advertising options to optimize product listings and increase conversion rates.

**6. Pricing Strategy:**

- Conduct market research and analysis to determine competitive pricing strategies that maximize profitability while maintaining competitiveness.

- Monitor pricing trends and adjust strategies in response to market dynamics.

**Qualifications:**

- Bachelor’s degree in Business Administration, Marketing, or related field (Master’s preferred).

- 5+ years of experience in e-commerce catalog management, with a proven track record of success in similar roles.

- Extensive knowledge of online marketplaces (e.g., Myntra,Ajio,Flipkart,Amazon, Shopify) and their respective catalog management systems.

- Strong analytical skills and proficiency in data-driven decision-making.

- Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative, cross-functional environment.

- Demonstrated experience in business development and vendor/supplier relationship management.

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

Strong Technical Account Manager (Publisher Side) Profile

Mandatory (Experience 1) – Must have minimum 8+ years of total experience, including 5+ years as a Technical Account Manager / Publisher Operations professional in AdTech, Programmatic Advertising, or Digital Media

Mandatory (Experience 2) – Must have hands-on experience managing top publisher accounts or supply-side relationships; specifically publisher-side technical account handling

Mandatory (Experience 3) – Strong working knowledge of SSPs, programmatic ecosystem, ad-serving workflows, and ability to explain technical concepts clearly to non-technical stakeholders

Mandatory (Experience 4) – Proven experience in technical onboarding, integrations, troubleshooting, and providing technical assistance to publishers

Mandatory (Experience 5) – Demonstrated experience conducting live product demos, explaining features/benefits, and tailoring demos for publisher / stakeholders

Mandatory (Experience 6) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption

Mandatory (Company) – Must come from an AdTech, Programmatic, SSP, Publisher-side, or Digital Media Tech organisation dealing with supply partnerships / publisher ops

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

• Review and analyze requirements, specifications, and technical design documents, providing timely feedback
• Develop detailed, comprehensive, and well-structured test plans and test cases
• Prioritize and plan testing activities
• Should have a basic idea of automated testing
• Identify and report issues found, then verify that issues are resolved
• Perform regression testing
• Should be able to handle ticketing system and concerned stakeholders for reported bugs.

• Proven work experience in software quality assurance
• Strong knowledge of software QA methodologies, tools, and processes
• Basic experience with automated testing tools
• Keen eye for detail and a commitment to excellence
• Be willing to help your teammates, share your knowledge with them, and learn from them
• Be open to receiving constructive feedback and turning it into process improvements

• We are looking for : Data engineer
• Sprak
• Scala
• Hadoop

As SEO (Search Engine Optimization) Team Lead, you should have a thorough knowledge of Web Analytics and Webmaster tools. Monitor Search Engine news to stay abreast of algorithmic updates. Develop & execute SEO strategy and project deliverables for clients. Track project quality and team performance every week.

If you can utilize the organizational resources optimally for the business promotion activities, we would like to meet you.

Role and Responsibilities:

• Should handle a team of SEO Executives and Sr. Executives.
• Developing a detailed project plan and monitoring progress while delivering projects on time ensuring quality standards.
• Make decisions about the day-to-day operation of the team members, including management of work assignments by them.
• Take the primary responsibility for all the Technical Audits & ensuring that the business website is following all the SEO best practices.
• In-depth SEO technical knowledge (HTML, CSS-on page- off page, JS) also Google Analytics, webmaster tools, back-end SEO and various online tools.
• Communicate team and management on project development, timelines, and results.
• Assign all work assignments, commit the team to the work, manage the quality of the work and drive the people management activities within the team.
• Perform and ensure completion of quality review check on outgoing work by the team to ensure quality, accuracy, and consistency.
• Strong reporting and presentation skills
• Gain a detailed understanding of each requirement.
• Remain up to date with industry knowledge.
• Brainstorm new and creative SEO growth strategies.
• Handling team queries, providing them feasible solutions and building healthy relationships thereby achieving high team satisfaction.
• Act as subject matter expert for team members, peers and clients.

Job requirements and qualifications:

• Demonstrated SEO experience of at least 4-7 years.
• Experience with Google's Keyword Tool
• Basic HTML Knowledge.

Designation: Senior Business Developer

Exp.: 7 - 10 Years

Job Location: Sector 62, Noida

Company Websites: http://www.sosudatech.com/">http://www.sosudatech.com/

Job Description:

Responsibilities:

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Promote the company’s products/services addressing or predicting clients’ objectives
• Managing and retaining relationships with existing clients
• Conduct research to identify new markets and customer needs
• Having an in-depth knowledge of business products and value proposition
• Monitor and evaluate industry trends and customer drivers and meet regularly with management and stakeholders to discuss strategy
• Prepare https://resources.workable.com/contract-administrator-job-description">sales contractsensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support

Requirements:

• 7-10 Yrs of Business Development-Both Locally & Internationally (USA Market)
• High Proficient/Fluent in English and Communication
• Master Degree in BA/TECH
• BS in IT/ENGINEERING
• Masters of Science in Business Administration
• Centration: Innovation, Technology, Entrepreneurship, Market Research & Development
• High Proficient/Mastry in many Technology, Gant Chart Tool, Visio, MS Package, Statistics, Analytics,
• Team Player
• Management Experience (6 yrs )
• Tead Lead
• Leadership Skills
• Knowledge of Consulting Business
• Proficient in Skype, Sharepoint, MS Team, HR Tools, WebEx, Zoom, MS Dynamics
• High Level Experience in Business Planning/ Budgeting, Business Development, risk Management, Team Development/Management