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Role –Customer Success Executive (Post Sales)

Looking to grow in a customer success role in a dynamic and fast paced SaaS environment ? NuVeda is the perfect place for you to explore your interests, use your strength to leverage your customer relationship.

Who we are?

A three-time award winner for the best product from eLearning Industry (2022), NuVeda established in 2006, is a fast-growing SaaS company with offices in Minneapolis, Chennai & Bangalore.

What do we do?

As a strategic growth partner in learning and development, we help our Customers Design, Deliver & Manage all their learning interventions at scale, Measure the business impact and Monetize the learning assets.

Our Vision & Culture

With a vision to build the "Google of Learning", we thrive in an open and honest organization culture where Autonomy, Alignment to Purpose, Integrity, Continuous Learning and Development are fostered to be future ready.

Why us?

We promise you an ambitious career path, compensation & benefits as per the industry standards and a team of high pots who pushes you to your limitless potential.

Role Summary

We are looking for people with the right mix of compassion, communication skills, and technical knowledge to get the job done.  

• As a Customer Success Executive, you will partner closely with the Director of Customer Success, Implementation and Onboarding team and product team to ensure our customers realise the maximum value from their investment.
• Build and maintain strong professional relationships with our domestic and global customers with the support of the team to coordinate operational tasks.
• This is a highly collaborative role, which requires excellent organization, clear communication and a passion for using data to drive successful partnerships.

Keen to know more about how you could contribute?  

• Maintain a detailed knowledge of our offering and the impact they can create for our customers.
• Coordinating and maintaining a detailed list of all tasks and communication with the client.
• Working closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers.
• Manage the process of creating review reports which will include : consolidating and maintaining reporting format, proof reading and pulling standard reports.
• Maintaining a task and discussion tracker to manage the timelines and go live details of the ongoing projects.
• Schedule regular/day-to-day client and internal meetings to understand the requirements, challenges and adoption status.
• Assisting the onboarding team for any new business set up activity that might arise from accounts.
• Proactively spot and correct any issues that could affect customer satisfaction or retention.
• Help CS Team drive customer references and case studies, and produce reports and presentations to explain insights and results to marketing professionals.
• Keep yourself updated about new products and services that could be of value to customer’s business.

• Co-ordinate with the QA team and Product team for timely closure of tickets and help the customer understand the usage.
• Handle customer escalations and ensure closure of the issues.

Desired Skills

• Any graduate/masters/engineering in computer science who is ambitious, energetic, and highly motivated to learn and grow in a fast-paced environment.
• -2 years of relevant experience in B2B customer facing roles.
• Knowledge of the SaaS ecosystem (good to have).
• Good communication skills, problem solving skills, solution oriented, logical thinking, analytical thinking, highly organized and active, proactive and learning ability will be highly desired.
• Account management and client relationship skills is preferred.

Are you passionate about building scalable AI-driven systems and leveraging technologies like RAG, prompt engineering, and multi-agentic architectures? Do you have a strong foundation in Python and FastAPI, with experience in integrating AI solutions using the CrewAI framework and Weaviate DB? If so, Pullse is the place for you!

We are looking for an AI Developer with at least one year of experience in AI-driven solutions to join our team. This role involves designing, developing, and optimizing AI-powered backend services using Python, FastAPI, and integrating AI capabilities for advanced tasks.

About Pullse

Pullse is a cutting-edge SaaS startup on a mission to revolutionize customer support with AI-driven solutions. Our platform centralizes support channels, streamlines workflows, and enhances customer experiences with automation. We believe in empowering our team with freedom, transparency, and the opportunity to make a meaningful impact.

The Role

As an AI Developer, you will play a crucial role in designing, developing, and optimizing our AI-powered backend services, ensuring high performance, scalability, and reliability. Your primary responsibilities will include:

• API Development: Design, build, and maintain scalable APIs using Python and FastAPI.
• AI Integration: Integrate AI technologies like RAG (Retrieve, Augment, Generate) and CrewAI for advanced data processing and prompt engineering to enhance AI model interactions.
• Multi-Agent Systems: Develop and implement multi-agentic architectures to simulate complex interactions and decision-making processes.
• Vector Databases: Work with Weaviate DB to store and query dense vector representations for efficient similarity searches and AI model outputs.
• Real-Time Functionality: Implement real-time updates using WebSockets or similar technologies.
• Database Management: Develop and optimize database schemas and queries using PostgreSQL.
• Collaboration: Collaborate with cross-functional teams to design and implement new features.
• Code Quality: Ensure high code quality, security, and performance optimization.
• Testing: Participate in code reviews and contribute to improving engineering processes.

Our Tech Stack

• Backend: Python, FastAPI
• Database: PostgreSQL
• AI Focus: RAG, Prompt Engineering, Multi-Agent Systems, Weaviate DB, CrewAI
• Real-Time Communication: WebSockets

Who You Are

• Experience: At least one year of experience in backend development with Python and FastAPI.
• AI Expertise: Strong experience with AI technologies, including RAG, prompt engineering, and multi-agentic architectures. Familiarity with the CrewAI framework and Weaviate DB is a plus.
• Database Skills: Familiarity with PostgreSQL and database design principles.
• Problem-Solver: Analytical thinker with a knack for solving complex challenges.
• Team Player: Excellent communication skills and a collaborative mindset.
• Learner: Passion for learning and staying updated with the latest AI technologies.

What We Offer

• Competitive Salary: Up to INR 10 LPA.
• Equity: Additional equity options to share in our growth journey.
• Growth Opportunities: Be part of an early-stage startup where your work directly impacts the product and company.
• Flexibility: Work remotely with a supportive and dynamic team.
• AI Focus: Opportunity to work on cutting-edge AI projects and contribute to the future of customer support.

Join us in redefining customer support with AI! 🚀

Staff Engineer :

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

• Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
• Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
• Effectively communicate complex design and architecture details
• Understand company and industry-wide trends to help develop new technologies
• Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
• Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

• BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
• 8-15 years of professional experience in engineering with a history of technical innovation
• Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

• The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
• Demonstrated success in designing and developing large-scale, complex systems
• Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

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

Job Summary:

Greenie Startup is seeking a highly motivated and experienced Backend Developer to join our team. The ideal candidate should have a strong understanding of NodeJS, Distributed Systems, MongoDB, React, and other backend languages. The candidate will be responsible for designing, developing, and maintaining backend applications for our platform.

Responsibilities:

●     Develop and maintain backend services using NodeJS, MongoDB, and other backend languages

●     Design and develop RESTful APIs for the platform

●     Work with the team to develop scalable and fault-tolerant distributed systems

●     Implement Authentication, Identity Management, and Authorization mechanisms for the platform

●     Collaborate with the front-end team to integrate the backend services with the user-facing application

●     Write clean and maintainable code with a focus on performance and scalability

Requirements:

●     Bachelor's or Master's degree in Computer Science or a related field

●     At least 5 years of experience in backend development

●     Strong understanding of NodeJS, MongoDB, and other backend languages

●     Experience with distributed systems and RESTful APIs

●     Experience with React is a plus

●     Strong understanding of Authentication, Identity Management, and Authorization mechanisms

●     Familiarity with Firewall Security and other security mechanisms

●     Strong problem-solving skills and attention to detail

• Strong experience in developing enterprise web applications. 
• Expertise on the Microsoft technology stack (.NET, C#, ASP.NET, MVC, Web API, SQL Server) 
• Candidates should have solid understanding of object-oriented programming and programming principles NET, C ,MVC, XML, MS Sql Database debugging and analysing code. 
• Candidates should have experience with SDLC to include the following stages requirements analysis design coding testing documentation and implementation. 
• Experience with .Net core Web API MVC C# Entity Framework 
• Troubleshooting & analysing skills. 
• Development experience required for Continuous improvement program. 
• Good problem-solving capabilities in Developed applications. 
• Exposure to Angular is an added advantage 

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• 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 specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated 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.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ 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.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• 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 find 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.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.