Network Engineer

Territory Sales Manager

The Territory Manager is responsible for overseeing the sales operations within a designated geographic area or territory. This role involves driving sales growth, managing relationships with key clients, identifying new business opportunities, and ensuring that sales targets and quotas are met. The Territory Manager will work closely with the sales team and senior management to align territory-specific strategies with the company’s overall goals.

Key Responsibilities:

Sales Growth & Target Achievement: Develop and execute sales strategies to achieve or exceed sales targets within the assigned territory. Identify and capitalize on growth opportunities to increase market share and revenue.

Client Relationship Management: Build and maintain strong, long-term relationships with key clients, distributors, and partners in the territory. Regularly meet with clients to understand their needs and provide solutions that align with the company’s products/services.

Market Analysis & Competitive Intelligence: Conduct market research to understand industry trends, competitor activities, and customer preferences within the assigned territory. Use insights to develop effective sales strategies and ensure the company remains competitive.

Sales Reporting & Forecasting: Maintain accurate records of sales activities, opportunities, and customer interactions. Provide regular sales reports to senior management, including forecasts, pipeline updates, and performance analysis.

Training & Development: Assist in the training and development of junior sales staff or account managers within the territory. Share best practices and collaborate on sales techniques to ensure team success.

Cross-functional Collaboration: Collaborate with other departments (e.g., marketing, product management, customer support) to align sales efforts with broader company initiatives. Work with logistics and customer service teams to ensure smooth delivery and fulfillment of customer orders.

Negotiation & Contract Management: Lead negotiations with key clients and partners to close deals. Ensure all contracts are aligned with company policies and profitability goals.

Customer Feedback & Product Improvement: Gather and communicate customer feedback to the product development team to help improve product offerings and services. Act as the voice of the customer within the organization.

Qualifications:

Bachelor’s degree in Business, Marketing, or related field (or equivalent experience).

Experience Requirements:

6+ years of experience in sales, preferably in a similar industry. Experience in managing a sales territory or region is a plus.

Skills Required:

·      Proven ability to meet or exceed sales targets and quotas.

·      Strong communication, presentation, and negotiation skills.

·      Excellent organizational and time management abilities.

·      Proficient in CRM software (e.g., Salesforce) and Microsoft Office Suite.

·      Ability to analyze market data and customer needs to develop effective sales strategies.

·      Self-motivated with a strong drive to succeed and work independently.

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

 Job Description for Sales Representative.

We are looking for a motivated and well-spoken inside sales representative to join our sales team. The inside sales representative will be responsible for developing new leads, communicating with customers, understanding their needs, and ensuring a smooth sales process. You should be able to close sales and meet targets.

To be successful as an inside sales representative you should be able to build instant rapport and achieve customer satisfaction. A top inside sales representative should also be very competitive and a good listener.

Inside Sales Representative Responsibilities:

Communicating with customers, making outbound calls to potential customers, and following up on leads.

Understanding customers' needs and identifying sales opportunities.

Answering potential customers' questions and sending additional information per email.

Keeping up with product and service information and updates.

Creating and maintaining a database of current and potential customers.

Explaining and demonstrating features of products and services.

Staying informed about competing products and services.

Upselling products and services.

Researching and qualifying new leads.

Closing sales and achieving sales targets

Yearly salary range: ₹4L - ₹8L + Bonus

All employees will receive a proportional yearly profit share based on their salary. In total, 10% of WhyDonate’s profits will be paid out to employees.

Job Description

We are looking for a full-time remote Back-end JavaScript Developer with 3+ years of experience.

You will be working on new features and maintenance of the WhyDonate platform. Code quality and scalability are a must. Besides writing new code, you will be fixing bugs and monitoring any new errors that come in. You will be working in a fully remote team of 10+ people.

WhyDonate is a product-based company that has been live since 2013. WhyDonate is a fundraising platform that helps charities and individuals to collect donations online. 

Hiring Process

1. Introduction interview
2. Technical interview
3. Test assessment

Must-haves

• 4+ years of Software development experience
• 3+ years of experience with JavaScript/TypeScript
• Experience with REST API's
• Good English language and communication skills

Nice to have

• Experience with back-end development (Node.js)
• Experience with DevOps and Cloud Hosting (Cloudflare, CI/CD)
• Experience with mobile development (React-Native)
• Worked on multiple publicly released web applications
• Knowledge of Elasticsearch
• Knowledge of Redis
• Knowledge of JavaScript testing frameworks

Responsibilities

• Feature development
• Monitoring and fixing bugs
• Uptime, performance and security
• Architecture
• Code quality

Role :

Act as the Lead ForgeRock developer / Analyst of the team to perform analysis, design and implementation tasks for our various platforms. Main accountabilities are:

• Work with different functional teams and managers
• Gathering Technical requirements from Business stakeholders
• Analyzing/Creating User Stories, Doing Story points estimations.
• Design and implement solutions across multiple platforms
• Producing high quality code with excellent test coverage
• Code reviews and effective code maintenance
• Analyze product requirements and breaking down into user stories and tasks, with the tech team
• Estimate and planning to assist with the development of the product roadmap
• Developing build, test, and deployment automation
• Research and development of potential new technologies
• Defining processes and standards within the team and contributing to the continuous improvement of the product development process
• Producing a high standard of technical documentation
• Understanding Backlogs and fixing support challenges
• Ability to provide technical expertise for new and ongoing initiatives to work with project stakeholder to come up most feasible technical solution.
• Identify, resolve, and/or escalate all issues that threaten the successful delivery of assigned initiatives.
• Support Junior developers and setting up local environments

Required

• Minimum 3 years’ experience in Identity and Access management (IAM) domain with expertise in one of IAM Products like ForgeRock or Oracle IAM:
• ForgeRock IAM products - FR AM, FR IDM, FR IG and FR DS
• Oracle IAM products – OAM, OIM, and OUD/OVD/OID
• Development experience on IAM platform (using Java Microservice, SpringBoot)
• Gathering Technical requirements from Business stakeholders
• Analyzing/Creating User Stories, Grooming with Story points estimations and Developing the code for them with team.
• Ability to research and troubleshoot ForgeRock. Experience with ForgeRock Backstage and support
• Experience in implementation and configuration of features like: MFA/ RBAC/ SAML/ OAUTH/ Federation etc. Frontend/workflow customization using Identity Experience Framework.
• Ability to act as ForgeRock champion in the identity domain. Engage on discussions on future of the platform.
• Strong experience on Full Stack development using JAVA SpringBoot (Web API/Microservices/ GraphQL) and Angular/ NodeJS / ReactJS and Spring MVC framework
• Understanding the requirement and development. Involved in End to End implementation.
• Skills with DevOps best practices including deployment automation tools, CI/CD pipelines.
• Experience of common DevOps platform tooling (chef, maven, jenkins, Puppet, Docker)
• Modern Agile and technology practices - to fit into the agile team cultures
• Written Unit test for components.

We are searching for a Senior Full Stack developer to help us to work on our Client projects.

Job Responsibilities--

• Experience with developing real-time application & advance level web projects & mobile apps.
• Strong understanding of front-end technologies, such as HTML5 and CSS3
• Good working experience in advanced JavaScript libraries and frameworks, such as React.js, Node.js, Mobx, Bootstrap, Next.js
• Experience with working with Git(hub)
• Care deeply about clean and functional code
• Experience in Github & AWS a big plus.
• Passionate about learning and staying up to date with the latest technologies
• Are particular about details.
• Project Management Skills.

Benefits:

• Work from home
• Internet Reimbursement

Schedule:

• Monday to Saturday

Supplemental Pay:

• Performance bonus

Education:

• Bachelor's (Required)
• Masters

Experience:

• React: 2-3 years (Required)
• Node.js: 2-3 years (Required)
• Total Work: 2-4 years (Required)
• MongoDB: 2-4 Years years (Required)
• PHP (CI & Laravel) : 2-4 Years (Required)
• Good Project Management Skills.

1) Hands on experience with Tivoli - ITM v5.1 troubleshooting.                                  

2) Familiar with Web Sphere Application Services                             

3) Familiar with Active Directory configuration                                   

4) Knowledge on LDAP, SSO.. Etc                              

5) Knowledge on Identity & Access Management process                 

     Qualiification:

• BTECH or Equivalent degree.
• 6 to 8 years of total experience.