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• Drive and own sales and revenue targets from ecommerce operations for the brand marketing campaign on marketplaces and offer management
• Monitor, measure and maintain reports on performance to drive attainment of defined objectives by optimisation
• Plan and execute promotional schemes and campaigns to maximise growth
• Providing insights into latest consumer and shopping trends to identify assortment gaps & selection and plan effective branding strategies Performance marketing Inventory management Catalogue mapping ,listing
• Plan the AOP business closely with the customer and the internal teams – to help deliver the toplines at a quarterly and annual level
• Keep track of all the health and hygiene measure – Stock holding of the e-tailers in terms of the number of days as well as the quality of the stock, ensure correct PO execution, track and ensure availability of our SKUs Work on monthly offtake plan for all brands – tracking the same periodically  and ensuring the right inputs are planned both on-platform and off-platform to drive business
• Manage the e-tailer PnL and ensure that we keep a close track on the profitability of the account and keep a check on the promotional expense
• Opening new platforms for the brand
• 3-4 years of handling ecommerce platforms - Amazon Flipkart,Big Basket

About the Company:

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & 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 Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement without fragmented tools or increased headcount.

About the Role:

MyOperator is looking for a motivated and customer-focused Customer Support Executive to join our dynamic team. This internship offers hands-on experience in handling customer queries, managing support tickets, and gaining exposure to the workings of a fast-growing SaaS company.

Key Responsibilities:

• Respond to customer queries via calls, emails, and support tickets.
• Assist in resolving issues related to panel access, call reports, and login problems.
• Update ticket statuses and maintain accurate customer records using Zoho Desk.
• Collaborate with the support team to escalate complex issues to relevant departments.
• Assist in creating and maintaining FAQs and troubleshooting documentation.

Requirements:

• Good communication skills in English(spoken and written).
• Basic computer proficiency and willingness to learn support tools and CRM systems.
• Strong interest in SaaS, tech support, or customer-facing roles.
• Availability for a full-time (Monday to Saturday, rotational shifts).

What You’ll Gain:

• Practical exposure to customer success and support operations in a SaaS environment.
• Opportunity to work with experienced professionals and learn industry best practices

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.

Key Responsibilities

● Lead the entire channel sales cycle from identifying potential partners to driving recurring revenue.

● Recruit, onboard, and activate new channel partners across multiple regions and industries.

● Build and nurture strong partner relationships through structured business planning, regular engagement, and ongoing support.

● Conduct product training and sales enablement sessions to empower partners with the knowledge and tools needed for success.

● Track partner performance and ensure achievement of sales targets through regular reviews, dashboards, and performance insights.

● Collaborate closely with internal teams including Sales, Marketing, Product, and Customer Success to ensure alignment on partner requirements and success.

● Ensure adherence to commercial policies, compliance norms, and revenue-sharing structures.

● Take ownership of revenue targets for specific partner regions or verticals.

Requirements

1. Educational Qualification: Bachelor's degree in Business, Marketing, or a related field. MBA is a plus.

2. Work Experience: 3–5 years in channel sales, partnerships, or B2B sales, preferably in SaaS, Telecom, or Cloud Communication domains.

3. Partner Handling: Proven experience in onboarding, managing, and growing revenue through channel partners or resellers.

4. Sales Acumen: Strong understanding of the sales cycle, indirect sales models, and partner revenue contribution metrics.

5. Communication Skills: Excellent verbal and written communication for engaging partners and internal teams effectively.

6. Training & Enablement: Ability to conduct partner training sessions and share regular product/sales updates.

7. Analytical Skills: Competence in using CRM tools and analyzing partner performance reports.

8. Process Orientation: Strong follow-up, reporting, and documentation discipline to manage multiple partner accounts.

9. Self-Motivation: Highly driven with a proactive approach and ownership mindset; able to work with minimal supervision.

10. Willingness to Travel: Ready for occasional travel for partner meetings, onboarding, or events (if applicable).

Benefits

* Performance-Based Incentives: Attractive variable pay structure based on partner revenue contribution and performance milestones.

* Growth Opportunities: Fast-track career progression in a high-growth SaaS company with leadership visibility.

* Learning & Development: Access to training, mentorship, and cross-functional exposure to build strategic sales and partnership capabilities.

* Hybrid Work Flexibility: Flexibility to work remotely or from the office as per business needs.

* Collaborative Culture: Work with a passionate and ambitious team that values ownership, innovation, and transparency.

* Partner Network Exposure: Build a strong ecosystem presence with access to leading partners across India.

* Recognition Programs: Be part of regular internal recognition initiatives, awards, and appreciation events.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Integration, Processing & Governance

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Implement scalable architectural models for data processing and storage

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 5+ years of IT experience with 3+ years in Data related technologies

2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Cloud data specialty and other related Big data technology certifications

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

1. Java Lead : 8-12 Years – GGN Location - NP : 60 Days max

• Experience on Full stack development and Microservices Architecture.
• Proven experience implementing distributed applications in a container environment (Docker/Kubernetes) along with considerable experience configuring and administrating Linux (or other Unix-like) systems Software engineering experience designing Enterprise Cloud Applications with Golang will be preferred
• Experience in any Databases like Postgres or any NoSQL DB like MongoDb
• Expertise in defining business architecture, business process definition & modelling, use cases, and requirements definition, and associated best practice processes for defining these artifacts
• Proven proficiency in grasping requirements and building illustrative features with minimal specifications
• Experience working in SAfe agile development environments.