Defender

Overview

The Business Development Executive is responsible for identifying and developing new business opportunities, maintaining relationships with potential and existing clients, and driving the sales process from lead generation to closing. This role involves a mix of direct customer interaction, strategic planning, and collaboration with senior sales staff to achieve company growth targets.

Key Responsibilities

Lead Generation & Outreach

·      Contact and develop relationships with potential customers through email marketing, cold calling, and LinkedIn outreach.

·      Execute email campaigns targeting prospects to generate leads and create business opportunities.

·      Mine data and extract information of C-level executives from various online sources and tools.

Sales Process Management

·      Follow up on leads and respond to sales inquiries from existing and potential customers as per guidelines.

·      Assist senior staff in generating and following up on leads.

·      Convince clients, schedule appointments, and manage the sales pipeline.

·      Track sales efforts and monitor results to ensure alignment with targets.

Customer Relationship Management

·      Liaise between customers and the company to provide up-to-date status on service, pricing, and new product releases.

·      Collect customer feedback and conduct market research to inform business strategy and product development.

·      Maintain CRM systems to manage lead generation, track interactions, and store customer information.

Market & Competitor Analysis

·      Stay informed about the latest products, market trends, and competitors to provide insights for business strategy.

·      Increase business opportunities through various routes to market.

Required Skills & Qualifications

·      Strong communication and interpersonal skills.

·      Proficient in email marketing, cold calling, and LinkedIn outreach.

·      Experience in data mining and CRM systems.

·      Ability to prepare detailed reports and commercial proposals.

·      Strong analytical and organizational skills.

·      Ability to work independently and as part of a team.

·      Understanding of market research and customer feedback processes.

Performance Metrics

·      Number of new leads generated.

·      Conversion rate of leads to appointments and sales.

·      Quality and timeliness of proposals and reports.

·      Customer satisfaction and feedback.

·      Sales targets and revenue growth.

Copypower Media (www.copypower.co) is a fast growing content marketing agency helping businesses scale their revenue online. We are looking for smart, creative, and savvy digital marketers who want to build a thriving career as email marketing specialists.

You’ll be working directly with our creative director helping plan, setup, organize, and execute email campaigns for our global clients. We are looking for a team player who is interested in growing his/her career in email marketing. You will learn industry leading email marketing best-practices working alongside some of the brightest entrepreneurs and marketers.

What will you do?

1. Plan, organize, and launch email marketing campaigns for clients (mainly in the USA)
2. List management and customer segmentation 
3. Creating landing pages (using Drag and Drop landing page builders such as ClickFunnels) 
4. Configuring third party integrations 
5. A/B testing and conversion rate optimization using email marketing best practices 
6. Prepare weekly, monthly, and quarterly email performance reports
7. Provide timely support to clients ensuring highest level of customer satisfaction 

What do we expect you to be?

• Conversant with digital marketing concepts such as Conversion Rate Optimization, A/B Testing, and Google Analytics/Google Tag Manager
• Proficient in using Good sheet, Google doc, Microsoft word, Microsoft excel, and basic design/image editing software/tools 
• Keen learner with ability to grasp new concepts quickly 
• Well-versed in using marketing technology (martech)
• Decent command over written and spoken english
• Basic understanding of HTML, CSS, and Javascript 
• Understanding of CMS and e-commerce platforms such as Shopify, Wordpress, Megento, Squarespace etc.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• 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 Azure ‘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 Azure 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.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases
  • Experience with data pipeline and workflow management tools
  • Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

We are looking for a highly capable Node.js developer to optimize our web-based application performance. You will be collaborating with our front-end application developers, designing APIs, and integrating data storage and protection solutions.

• Minimum of two years previous experience as a Node.js developer.
• Minimum of two years of experience developing applications using MongoDB.
• Minimum of one year of experience developing applications using ExpressJs.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of the APIs.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests and identifying bugs.
• Documenting Node.js processes, including database schemas.
• Recommending and implementing improvements to APIs.

Responsibilities: 
 

• The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. 
• The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. 
• Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. 

Required Skills: 
 

• An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. 
• Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries 
• Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts 
• Experience in designing full stack ML solutions in a distributed computing environment 
• Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
• Excellent communication skills with multiple levels of the organization 
• Image CNN, Image processing, MRCNN, FRCNN experience is a must.

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce