Sales Development Representative

Position Overview:

We are seeking a highly motivated and analytical individual to join our team as a Market Research and

Competitive Intelligence Analyst, specializing in enterprise technologies and telecom markets. As an integral

member of our organization, you will be responsible for gathering, analyzing, and interpreting data to provide

strategic insights and recommendations to support our business decisions and competitive positioning. This role

requires a deep understanding of the enterprise technologies and telecom sectors, as well as strong research,

analytical, and communication skills

 Job Description:

o Conduct comprehensive market research:

 Identify and analyze market trends, industry developments, and emerging technologies in the

enterprise technologies and telecom markets.

 Gather data on market size, market share, growth rates, customer needs, and competitive landscapes.

 Monitor regulatory changes, industry standards, and policy developments impacting the sector.

 Utilize primary and secondary research methods to collect relevant data, including surveys, interviews,

and data analysis tools.

o Perform competitive intelligence analysis:

 Identify key competitors in the enterprise technologies and telecom markets and track their activities,

strategies, and performance.

 Analyze competitors' product offerings, pricing strategies, market positioning, and go-to-market

approaches.

 Evaluate strengths, weaknesses, opportunities, and threats (SWOT) of competitors.

 Conduct benchmarking analysis to assess our company's performance against competitors and identify.

areas for improvement.

o Generate strategic insights and recommendations:

 Synthesize market and competitive data to extract meaningful insights and actionable

recommendations.

 Collaborate with cross-functional teams to provide strategic guidance for product development,

marketing campaigns, and sales strategies.

 Present findings, reports, and recommendations to senior management and stakeholders in a clear and

concise manner.

 Stay abreast of industry trends, best practices, and technological advancements to inform strategic

decision-making.

o Maintain industry knowledge and expertise:

 Continuously update knowledge of enterprise technologies and telecom markets through research,

industry events, and networking.

 Build relationships with industry experts, analysts, and vendors to gain insights and access to relevant

information.

 Act as an internal subject matter expert, providing guidance and training to colleagues on market.

research and competitive intelligence methodologies.

 Team Management:

 Qualifications and Skills/ Experience, Expertise:

o Previous Experience in a Related Field Preferred; Proven work experience as a Market Research Analyst,

o bachelor's degree in business, marketing, economics, or a related field. A master's degree is preferred.

o Proven experience in market research, competitive intelligence, or related fields within the enterprise

technologies and telecom sectors.

o In-depth knowledge of enterprise technologies, such as cloud computing, cybersecurity, artificial intelligence,

and data analytics.

o Familiarity with telecom services, network infrastructure, wireless technologies, and telecommunications

regulations.

o Proficient in gathering, analyzing, and interpreting quantitative and qualitative data from various sources.

o Strong analytical and critical thinking skills, with the ability to translate data into actionable insights and

recommendations.

o Excellent written and verbal communication skills, including the ability to present complex information in a clear

and concise manner.

o Proficiency in using market research tools, data analysis software, and Microsoft Office suite.

o Detail-oriented with strong organizational and project management skills.

o Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.

o Strong business acumen and a keen interest in staying up to date with industry trends and developments

o Strong interpersonal skills and an ability work as part of a team, both physical and virtual

o Ability and willingness to work on short deadlines; Strong organizational skills with a problem-solving attitude;

Strong listening and storytelling skills.

o Enthusiasm for working in a high profile, fast-paced startup culture.

o Responsible and self-motivated; Strong analysis skills; Ability to learn new technologies; Ability to multitask and

prioritize between competing activities

o Expertise in MS office - Excel, Word & Power Point documents.

 Key Deliverables: Key Performance Indicators (KPIs) and Key Result Areas (KRAs) for the Market Research and

Competitive Intelligence Analyst. These KPIs and KRAs are designed to evaluate the performance and contribution of the Market Research and Competitive Intelligence Analyst in enterprise technologies and telecom markets. They focus on areas such as market share analysis, competitor analysis, customer insights, strategic recommendations, research accuracy, industry expertise, cross-functional collaboration, and process improvement.

o KPI: Market Share Analysis

 Measure and track changes in market share for our company and key competitors.

 Assess the impact of market share changes on business performance.

 Develop strategies to improve or maintain market share in target markets.

o KPI: Competitor Analysis

 Monitor and analyze competitor activities, including product launches, marketing campaigns, and

pricing strategies.

 Provide regular updates on competitor strengths, weaknesses, and market positioning.

 Identify opportunities and threats in the competitive landscape and propose counterstrategies.

o KPI: Customer Insights

 Gather customer feedback and conduct surveys to understand customer preferences, needs, and

satisfaction levels.

 Translate customer insights into actionable recommendations for product development, marketing,

and customer service improvements.

 Track customer satisfaction scores and measure the impact of initiatives on customer loyalty and

retention.

o KPI: Strategic Recommendations

 Provide timely and valuable strategic recommendations based on market research and competitive

intelligence.

 Evaluate the potential impact of strategic initiatives on business performance and market positioning.

 Monitor the implementation of strategic recommendations and measure their effectiveness.

o KPI: Research Accuracy and Timeliness

 Ensure accuracy and reliability of research data and information.

 Adhere to research methodologies, data collection processes, and quality standards.

 Deliver research reports and insights within defined timelines to support decision-making processes.

o KPI: Industry Knowledge and Expertise

 Stay updated with industry trends, emerging technologies, and regulatory changes in enterprise.

technologies and telecom markets.

 Participate in industry events, webinars, and conferences to expand knowledge and network with

industry professionals.

 Share industry insights and best practices with the team and contribute to thought leadership

activities.

o KRA: Cross-functional Collaboration

 Collaborate with product management, sales, and marketing teams to align market research findings.

with business strategies.

 Provide support and guidance for product development, marketing campaigns, and sales initiatives

based on market insights.

 Foster a culture of knowledge sharing and collaboration across departments.

o KRA: Process Improvement

 Identify opportunities to streamline and improve market research and competitive intelligence.

processes.

 Implement best practices, tools, and technologies to enhance efficiency and effectiveness.

 Measure the impact of process improvements on the quality and timeliness of deliverables.

Education: Any graduate, with digital certifications (a must)

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

• Solid background and proven experience in the tech stacks
• Strong proficiency in JavaScript
• Proficiency in HTML, CSS, JavaScript and jQuery
• Familiar with JavaScript frameworks such as jQuery, ReactJS
• Understanding and Work experience in ES6, Redux, Regex, MaterialUI and MUIdatatables is a plus
• Should be familiar with REST API’s
• Excellent communication and team handling skills
• Great attention to detail and problem-solving skills

About PoshVine: 

PoshVine aspires to become the world's leading transaction-driven loyalty and engagement platform by providing a mutually beneficial ecosystem for people, banks and retailers. Our products around programmatic offers, rewards, and loyalty help retailers increase contextual engagement and financial institutions increase share of spends, while end-users maximize their rewards and savings. PoshVine works with all the global payment networks and many marquee financial institutions, including 7 of the top 10 banks in India. 

Frontend at PoshVine:

We are building super-slick, easy-to-use rewards and loyalty experiences inbuilt in banking and payment journeys. The frontend team at PoshVine strives to build solid frontend foundations, infrastructure and top-notch experiences.

We are looking for passionate, collaborative, and empathetic Frontend Developers (team-leads and individual contributors) to join us, help create outstanding user experiences leading to high customer delight and help build the future of payment-linked loyalty and engagement. You can expect:

• Freedom to evaluate and introduce new tools, libraries and coding standards.
• Work on developer productivity and platform tooling.
• Evangelise tech and share knowledge in internal and external forums.
• Contribute to Product and Design ideas and implement them like it’s your own product. 
•  

Roles & Responsibilities: 

1. Strong knowledge on Javascript fundamentals, Object oriented programming and Web concepts.
2. Experience or familiarity with AngularJS, or any other frontend framework.
3. Develop frontend application features of PoshVine's enterprise dashboards and consumer-facing bank / fintech app integrations. 
4. Zeal to learn new technologies, and Follow code quality and best practices.
5. Take end-to-end ownership of products. Ideate on product requirements with the team and drive it from design to implementation.
6. Curiosity to go in depth of codebases and libraries, and have the ability to set it up from scratch.
7. Open to work on constructive feedback and proactively share the same with peers.

You’ll be a good fit if: 

1. You’re awesome at JavaScript. We prefer people who are strong in web concepts and fundamentals, and are open to learning any framework/library.
2. You have the ability to build features from scratch which are modular and scalable, and can deliver it end-to-end.
3. You have demonstrated experience in creating front end applications using Angular and/or React, HTML5, CSS3, Jquery, Bootstrap, Backbone.js, Semantic UI, Postgres, etc. Our current platforms are mostly Angular 8+ in frontend and Ruby on Rails / PostgreSQL / MongoDB on backend. 
4. You are comfortable working on continuous integration (CI) and continuous delivery (CD) of the products using agile methodologies .
5. You are willing to explore new frameworks and languages while bringing in expertise and customer-centric usability best practices. 

OneCode is an agent led distribution platform for businesses predominantly in BFSI verticals. The platform enables businesses to outsource their need for sales agents through the OneCode Platform. OneCode is a Super App for the sales agents and the businesses who employ Sales Agents. For the business/brand it's a plug'n'play solution. The Sales agents who are on-boarded have to go through the content (training videos) + KYC. There are 1mn+ agents on the platform and 50+ clients (ICICI, Axis, Equitas, Upstox, Insurance Co's). India's 2nd largest Agent network.

One Code is well funded by tier 1 VC’s(Sequoia, Nexus, Waterbridge) and angels in India. Recently we have raised $5M dollars from India's top VC's.

We are looking for an experienced B2C UI/UX designer (Consumer front - large scale experienced)

Day-to-day responsibilities include:

• Working in good coordination with production managers and engineers
• Working closely with Product Head & CEO
• Generating new ideas
• Identifying and troubleshooting UX problems
• Discussing the idea with the internal team
• Designing Wireframes, UI mockups and prototypes
• Designing High fidelity designs
• Familiarity with agile methodologies.

Requirements:

• Minimum 3 years experienced
• Understand UX methodologies
• Comfortable working in a fast-paced environment.
• Familiarity with agile methodologies.
• Experience in B2C products on big scale
• High ownership, independent environments and feedback oriented cultures

Required Skills for this Role:

Prototyping, Persona Definition, Wireframing ,Sketching, Figma, Sketch, Adobe Photoshop, Adobe Illustrator and Story boarding.

If this is interesting for you then please share your resume while applying. Also, please feel free to reach out in case of any queries.

Roles and Responsibilities

• Quick learner with a great attitude and should be willing to learn new technology. Basic knowledge in HTML, JavaScript, C or any other coding language
• Good in Communication and having excellent professional values.

What you need to have:

CarEasy.in Transforming Automobile Service Industry into Digital by Offering cutting edge solutions (http://www.careasy.in" target="_blank">www.careasy.in )

CarEasy- One stop solution for all your vehicle needs with On-demand pick and drop service. We are also into the washing & sanitization of the vehicle for B2C & B2B customers.

We are looking for an organized, efficient Inside Sales Specialist to be responsible for administrative duties and assisting the sales department in gaining and keeping customers. The Sales Support Specialist's responsibilities include tracking sales leads, coordinating quotes with sales packs, providing customer service, and managing customer accounts. The Client Services Specialist or the Inside Sales Specialist is essential in supporting and maintaining an ongoing relationship with existing clients. This, in turn, allows Client Services to retain clients and maintain strong references and to increase new revenue opportunities. By employing excellent relationship management skills, the Client Services Support Specialist will ensure optimal client satisfaction, providing an important balance within organization.

Roles & Responsibility: -

• Employ effective consultative techniques including pre-call planning and productive questioning strategies that lead to winning business.
• Continuously identify opportunities for up-selling /cross-selling the company product and services and meet assigned targets for profitable sales volume and strategic objectives in assigned accounts.
• Close sales and achieve monthly quotas through the cold calls.
• Answering customer inquiries, scheduling meetings and sales appointments, and following up with customers about their order status.
• Compiling a daily list of sales leads, delegating leads to the sales department, and providing sales data and a lead conversion leads.
• Responding promptly to customer inquiries and communicating with customers through various channels.
• Keeping records of customer interactions, transactions, comments and complaints.
• Ensure customer satisfaction and provide professional customer support.
• Keeping records of customer interactions, transactions, comments and complaints.

Qualifications & Skills: -

• Bachelor’s degree or equivalent.
• The ideal candidate will possess a quantifiable record of success with a demonstrated ability to meet and exceed goals.
• 0 to 3 years of direct work experience as an inside sales representative preferably in automotive/automobile or BPO industry
• Computer literacy, IT skills, and typing skills.
• An understanding of sales principles and customer service practices.