Business Development Manager - Solution Sales (Tally Ecosystem)

About the Company

We are a fast-growing D2C FMCG food brand focused on delivering high-quality food products through both owned and third-party e-commerce platforms. The organization operates in a dynamic, customer-first environment and emphasizes innovation, digital expansion, and operational excellence across online marketplaces. With a strong presence across leading e-commerce and quick-commerce platforms, the company is rapidly scaling its digital footprint nationwide.

Roles and Responsibilities

1. Online Catalog Management

• Ensure product catalog hygiene across all e-commerce platforms
• Update product listings, descriptions, pricing, and availability
• Conduct regular audits to identify and resolve listing issues or inconsistencies

2. E-Commerce Platform Operations

• Manage day-to-day operations on platforms such as Amazon, Shopify, BigBasket, Swiggy Instamart, Blinkit, and others
• Coordinate with platform points of contact (POCs) for promotions, campaigns, and operational alignment
• Resolve technical and operational issues in a timely manner

3. Sales and Performance Optimization

• Drive sales growth through data-backed strategies and promotions
• Plan and execute initiatives to improve product visibility and conversion
• Identify and onboard new e-commerce platforms to expand digital reach
• Analyse sales trends and optimize listings for performance

4. Customer Coordination

• Handle customer queries, complaints, and feedback across platforms
• Work closely with customer support teams to enhance the buying experience
• Implement strategies to improve customer satisfaction and online ratings

5. Logistics and Order Fulfilment

• Coordinate with production, warehousing, and logistics teams
• Track and resolve issues related to delays, returns, and cancellations
• Monitor inventory levels to avoid stock-outs or overstocking

6. Online Reputation Management

• Monitor brand reviews and ratings across e-commerce platforms
• Respond to customer feedback professionally and promptly
• Collaborate with marketing teams to maintain a positive brand image

7. Data Analysis and Reporting

• Analyse sales and platform performance using Excel and related tools
• Prepare weekly and monthly performance reports
• Share actionable insights to optimize campaigns and product placement

8. Cross-Functional Collaboration

• Work closely with marketing, production, warehouse, and logistics teams
• Coordinate with digital media teams on platform-specific promotions
• Stay updated on e-commerce trends and best practices

Desired Candidate Profile

Experience:

• Minimum 1 years of experience in e-commerce operations
• FMCG or D2C background preferred

Platform Expertise:

• Hands-on experience with Amazon, Shopify, Swiggy Instamart, Flipkart, and similar platforms

Education:

• Bachelor’s degree (BBA, BMS, or equivalent preferred)

Upload CV On - https://magicworksitsolutions.com/sales-executive/

As a Sales Executive at Magic works IT Solutions Pvt Ltd a Digital Marketing Agency, you will play a crucial role in driving revenue growth by acquiring new clients and fostering strong relationships with existing ones. You will be responsible for understanding client needs, presenting tailored digital marketing solutions, and closing deals. The ideal candidate is a dynamic and results-oriented individual with a passion for digital marketing and a proven track record in sales.

Experience: 2 to 4 years

Qualifications:

• Bachelor’s degree in Business, Marketing, or a related field.

• Proven experience in B2B sales, preferably within the digital marketing industry.

• Strong understanding of digital marketing concepts and strategies.

• Excellent communication and presentation skills.

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

• Results-driven with a focus on achieving and exceeding sales targets.

• Familiarity with CRM software and other sales tools.

Key Responsibilities:

1. Client Acquisition:

• Identify and target potential clients through market research, networking, and lead generation.

• Conduct outreach to prospects through various channels, including cold calling, emails, and social media, to present our digital marketing services.

2. Consultative Selling:

• Understand clients’ business objectives and challenges to offer customized digital marketing solutions.

• Conduct thorough needs assessments and provide clients with clear insights into how our services can address their specific goals.

3. Proposal Development:

• Collaborate with the internal team to create comprehensive and compelling proposals that showcase our services and align with client needs.

• Present proposals to clients in a clear and persuasive manner, addressing any questions or concerns.

4. Relationship Management:

• Build and maintain strong, long-lasting relationships with clients.

• Act as the main point of contact for clients, ensuring their satisfaction and addressing any issues that may arise.

5. Sales Target Achievement:

• Set and achieve monthly, quarterly, and annual sales targets.

• Continuously assess and improve sales strategies to maximize revenue opportunities.

6. Market Intelligence:

• Stay informed about industry trends, competitors, and emerging technologies in the digital marketing space.

• Provide feedback to the team regarding market demands and client preferences.

We are seeking an experienced, proactive Customer Success Associate to join our team and help nurture and grow relationships with our valued customers. You will be responsible for ensuring customer satisfaction, driving product adoption, and minimizing churn for our SaaS product. If you are passionate about delivering excellent customer service and have experience in managing customer success, we’d love to hear from you!

Responsibilities:

• Act as the main point of contact for our customers, helping them navigate our SaaS product
• Manage customer onboarding, ensuring smooth implementation and product adoption.
• Monitor customer health metrics and provide proactive outreach to prevent churn.
• Develop and maintain strong relationships with customers, understanding their goals, and aligning them with our product offerings.
• Respond to customer inquiries via email, Slack, or phone in a timely and professional manner.
• Collaborate with internal teams (sales, support, product) to resolve customer issues and improve the overall experience.
• Create and deliver product training sessions to customers, ensuring they maximize value from our platform.

Requirements:

• Proven experience in Customer Success or similar role in the SaaS industry.
• Experience in direct customer interactions.
• Excellent communication and relationship-building skills.
• Strong understanding of SaaS products
• Ability to identify customer needs and align them with product capabilities.
• Proactive mindset with problem-solving abilities and the ability to work independently.
• Experience using CRM tools (e.g., Salesforce, HubSpot) preferred.
• Have worked with direct interactions with Customer
• Strong organizational skills and attention to detail.

Preferred Qualifications:

• Experience working in a B2B SaaS environment.
• Knowledge of customer success metrics and how to manage them.

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

As our Full Stack Engineer, you will be developing fast, reliable and scalable web applications while taking responsibility for shipping core backend features.

Roles and responsibilities:

1. Develop smooth, scalable and pixel-perfect web-app products
2. Architect, optimize and scale complex systems like the database engine and APIs
3. Follow TDD and write well designed, factored, and tested code
4. Develop new features and maintain existing code
5. Manage infrastructure and ensure security of applications
6. Solve complex product and engineering challenges alongside the core team

What we're looking for in you:

1. 4+ years of experience in Full Stack Development
2. Extensive programming skills with a proficiency in Java, Spring Boot and Javascript
3. Have strong fundamentals in systems design and RDBMS and NoSQL databases
4. Product minded: Strong UI/UX and design sense
5. Strong understanding of asynchronous request handling and dynamic web page development
6. Experience working with React.js, Next.js, Node.js, HTML, CSS, Redux, TypeScript
7. Stellar problem solving and research skills with the ability to design scalable systems
8. Exposure with AWS/GCP, Docker, Kubernetes and CI/CD Setups
9. Experience in functional, L& P and security testing

Benefits of working with Rivi:

• Stock Options
• Flexible work hours
• More responsibilities and more opportunities
• The chance to exponentially grow in your career, as Rivi grows
• Work on real innovation and a futuristic vision
• Enhance your skill-sets and knowledge
• Opportunity to learn about many different verticals
• Feel empowered and change things - We value ideas and suggestions
• Work in an inclusive culture where transparency, creativity, accountability and ownership is encouraged

• Design and develop application with your strong knowledge in .NET
  • Apply your expertise in OOPS and best coding practices, TDD & Solid design Principles.
  • Expertise level implementations of multithreading concepts & You are familiar with Full
  stack development. If you are a developer with strong experience in .Net backend technologies
  and comfortable on frontend technologies like angular, JavaScript HTML, CSS etc.
  • Apply your versatility in choosing appropriate tools and frameworks for the Core
  development procedures
  • Work on large scale complex algorithmic solutions and fine tuning
  • Working on service oriented solutions and micro services architecture and be a part of
  monolithic to micro services re-architecture

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.