Job responsibilities
- Participate in developing e-commerce websites on BigCommerce platform
- Collaborate with project managers and clients to understand requirements and participate in planning the development roadmap
- Be responsible for delivering optimized, fast loading, responsive, and highly functional website
- Migrate websites from other e-commerce platforms to BigCommerce and install and customize new BigCommerce themes
- Extending BigCommerce functionalities to the next level using storefront APIs, liquid programming, meta fields, etc.
- Implementing SEO/CRO best practices in BigCommerce sites

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Role Overview: We are looking for a Sr Strategic Partnerships Manager (B2B) to own and scale our strategic business unit. This is a high-impact role where you will drive revenue, partnerships, and category expansion across key segments like corporates, colleges, and influencers. As part of a product-first company, you will work at the intersection of product, partnerships, and marketing to shape category growth, while taking full ownership of execution.
If you thrive on building businesses from the ground up, enjoy solving complex growth challenges, and bring a revenue-first, execution-driven mindset, this role gives you the platform to create measurable impact and expand our B2B business into multiple high-potential categories.
Roles & Responsibilities:
- Own and manage the end-to-end P&L and revenue growth of the B2B business unit, ensuring sustainable scale across categories.
- Develop and execute category strategies for corporates, colleges, influencers, and companies to drive adoption of our products and solutions.
- Build, nurture, and expand strategic partnerships with enterprises, institutions, and creator networks to unlock new growth opportunities.
- Drive go-to-market strategies for B2B offerings in edtech, HR tech, and adjacent fintech/enterprise spaces, ensuring high business adoption.
- Lead business development efforts: identify opportunities, pitch solutions, and close deals with key B2B clients.
- Collaborate closely with product, marketing, and operations teams to shape category-specific offerings and deliver maximum business impact.
- Constantly monitor market trends, competitor movements, and customer insights to refine growth playbooks.
- Set and track sales and revenue KPIs, ensuring targets are consistently met or exceeded.
- Build and mentor a lean team to expand categories into new high-potential segments over time.
- Act as a category owner with a revenue-first mindset, balancing long-term strategy with on-ground execution.
What We’re Looking For:
- 3+ years of experience in category management, business development, or partnerships within B2B (edtech, HR tech, fintech, SaaS, or related industries).
- Strong track record of driving revenue, closing B2B deals, and owning P&L.
- Hands-on experience in building and scaling partnership-driven growth (corporates, colleges, influencers, or enterprises).
- Excellent communication, negotiation, and stakeholder management skills.
- Ability to thrive in a fast-paced, execution-heavy environment with a revenue-first mindset.
About Us: At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:
- AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
- Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries.
Meet the Founders: LearnTube was founded by Shronit Ladhani and Gargi Ruparelia, who bring deep expertise in product development and ed-tech innovation. Shronit, a TEDx speaker, is an advocate for disrupting traditional learning, while Gargi’s focus on scalable AI solutions drives our mission to build an AI-first company that empowers learners to achieve career outcomes.
We’re proud to be recognized by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders.
Why Work With Us? At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:
- Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
- Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
- Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
- Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
- Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
- Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.
- Graduate+ in Mathematics, Statistics, Computer Science, Economics, Business, Engineering or equivalent work experience.
- Total experience of 5+ years with at least 2 years in managing data quality for high scale data platforms.
- Good knowledge of SQL querying.
- Strong skill in analysing data and uncovering patterns using SQL or Python.
- Excellent understanding of data warehouse/big data concepts such data extraction, data transformation, data loading (ETL process).
- Strong background in automation and building automated testing frameworks for data ingestion and transformation jobs.
- Experience in big data technologies a big plus.
- Experience in machine learning, especially in data quality applications a big plus.
- Experience in building data quality automation frameworks a big plus.
- Strong experience working with an Agile development team with rapid iterations.
- Very strong verbal and written communication, and presentation skills.
- Ability to quickly understand business rules.
- Ability to work well with others in a geographically distributed team.
- Keen observation skills to analyse data, highly detail oriented.
- Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution.
- Able to identify stakeholders, build relationships, and influence others to get work done.
- Self-directed and self-motivated individual who takes complete ownership of the product and its outcome.
Job Role - Shopify Developer
Responsibilities
Create an engaging and knowledgeable online Shopify store to increase sales and revenue
Create bespoke Shopify themes and change pre-existing templates per pre-defined brand
guidelines
Be an expert in all aspects of the ECommerce platform
Work with the UX and UI Design Teams to create unique, strong, and inventive front-end user
experiences
Ensure a smooth connection with Marketing Tools, Platform APIs, and Shopify Apps to optimise
the shop for overall efficiency and functionality
Test and debug websites regularly to improve performance
Based on their findings, they provide technical support and coordination, protecting enterprises
against failure
Increase conversion rates by optimising website
Requirements & Skills
A bachelor's degree in information technology, computer science, or a related discipline
Broad shop construction, launch, and maintenance expertise, as well as a general understanding
of the admin system
Proven skills in HTML5, CSS3, and JavaScript, as well as a thorough grasp of the DOM
Previous experience working with a custom theme and/or the Storefront API
Working knowledge of Shopify's theming system and Liquid templating
Previous experience implementing/debugging third-party Shopify apps, as well as building
unique solutions if needed
In-depth knowledge and expertise with vanilla JavaScript, jQuery, ES2015/ES6, and current
JavaScript frameworks
Working knowledge of Shopify's object/properties, AJAX API, and Meta fields
Extensive testing and debugging abilities using the browser console and other tools
Prior experience developing responsive layouts for desktop, tablet, and mobile devices
Working knowledge of third-party services and APIs, as well as Shopify plugins
Capability to communicate effectively and provide proactive feedback
Role: Software Development - Other
Industry Type: Advertising & Marketing
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: Any Graduate
Key Skills
Skills highlighted with ‘‘ are preferred keyskills
Html/Css
Performance OptimizationApp DevelopmentDebuggingJavascriptE-commerceliquid tempelating languageVersion ControlTroubleshootingResponsive DesignSEO best practices
● Understanding user behavior and performing root-cause analysis of changes in data trends
to identify corrections or propose desirable enhancements in product & across different
verticals
● Excellent problem solving skills and the ability to make sound judgments based on trade-offs for different solutions to complex problem constraints
● Defining and monitoring KPIs for product/content/business performance and identifying
ways to improve them
● Should be a strong advocate of data driven approach and drive analytics decisions by doing user testing, data analysis, and A/B testing
● Help in defining the analytics roadmap for the product
● Working with stakeholders, including Customer Support team, Customer Success team and senior executive management to address customer/product problems effectively.
● Providing regular reports to the management on product performance and issues.
● Managing prioritization and trade-offs between customer experience, business impact and product performance.
● Working with the PM team during the sprint releases to help enhance the product with
long-term solutions for product issues.
● Driving the collection of new data that would help build the next generation of algorithms
(E.g. audience segmentation, contextual targeting)
● Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data projects
● Develop user archetypes and build dashboards to demonstrate their usage patterns
● Capture and document data user stories, use cases, and workflows
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
Techweirdo delivers AI models & enterprise solutions, globally for mid to large-scale organizations.
We offer consultation, services, and products to holistically address the digital transformation goals of an enterprise.
We are currently hiring passionate, senior full-stack Java engineers on behalf of one of our large customers to help them find the best-fit talent and create technologically challenging, visually delightful, and easy-to-use digital products in a fast-paced environment.
Must have actual development experience of:
1. Angular 6+ (Typescript) and Angular Material
2. HTML, CSS, js
Nice to have experience of:
1. Bootstrap
2. SCSS
Must have actual development experience of:
1. Java 8+
2. Spring Framework
3. Spring Boot (Rest APIs, SBS Web, SBS Logging, SBS AOP, SBS Batch & SBS Data - MongoDB) (SBS = Spring Boot Starter)
4. Mongo DB
Nice to have experience of:
1. Linux commands
2. Webservers and App servers esp. IBM Websphere
3. Knowledge of open-source Java libraries and frameworks (from Google, Apache, etc.)
Other skills:
Knowledge of Git and Github, Jira, CI/CD automation, Jenkins
Requirement – Years of experience – 5 – 9
• Hands-on development experience of minimum 2 years in Frontend
Technology – 50% weightage
AngularJS - 40% weightage
Bootstrap – 10% weightage
ReactJS – Nice to have
• Hands-on development experience of minimum 2 years in Backend Technology – 50% weightage
o Java8 – 15% weightage
o Database Queries (PL/SQL) – 15% weightage
o Spring MVC Framework – 20% weightage
2. Data structure (HashMap, treemap, arraylist, linklist),
3. Streaming concepts (partitioning), Junit
4. Exception handling and workflow, Test coverage (why its important, how it gets handled at
java and spring layer, morckito library if the candidate knows that would be great),
5. OOPS concepts (inheritance),
6. Threading (mutex, threadpool, threading implementation, singleton factory, builder pattern,
abstract)
7. Real world problems (atleast 1 to be asked in IAAS interview) (movie ticket booking, parking
booking), To be asked to only selected candidates: Puzzle (probability/)
8. Memory management: Garbage Collection (GC), Heap dump, Thread dump, apache, google
library.
9. Spring frameworks and database. Data lakes, star lakes, schemas, indexing, partitioning,
optimize query, hibernate.
10. Data warehouse vs nosql vs time series database (KDB, DB2), data storage patterns.
11. Types of transaction control. Column level.
12. Query formation, grouping, nested queries, joints (inner joints, outer joints)
13. If candidate has spring exp: Architecture and various layers of Spring, coupling concepts,
dependency injections, inheritance, Bean level, JMS connection pooling concepts, Lambda,
Annotation vs XML, Kafka, Hibernates.
14. Good to have AI/ML inclination.
Bifurcation of Must have and good to have skills:
Must have skills Good to have skills
Core java (60%), spring (15%), and databases
(15%).
Mockito library
Data structure (HashMap, tree map, array list,
link list)
Threadpool
Streaming concepts (partitioning) Memory management
Exception handling Lambda, Annotation vs XML, Kafka, Hibernates
OOPS GCP or any cloud technology
Threading (singleton factory, builder pattern) AI/ML inclination
Real world problems (movie ticket booking,
parking booking)
Spring frameworks and database (indexing,
partitioning, layers of Spring, JMS connection)
Data warehouse vs NoSQL vs time series
database
Junit
- Proxy Incident Management
- DLP Incident Management
- Support to SOC Incidents
- Miscellaneous Security Activities (Management of documentation- Policies/Procedures/ Guidelines etc.)
- You will manage all elements of the post-sale program relationship with your customers, starting with customer on-boarding and continuing throughout the customer relationship.
- As the primary customer interface, you engage with customer teams to educate, identify needs, develop designs, set goals, manage and execute on plans that unlock continuous, incremental value from their investments in the CloudPassage Halo platform.
- You are hands-on during execution and thoroughly enjoy seeing your security projects come to life and supporting them afterwards. You are a trusted adviser.
Responsibilities :
- Manage a portfolio of 5+ Enterprise customer accounts with complex needs (typical enterprise customers invest between $500k and $4m+ per year with CloudPassage, have hundreds to tens of thousands of individual public cloud infrastructure deployments, and protect hundreds of thousands of cloud infrastructure assets with Halo).
- Provide level-3 technical support on your customer's most complex issues
- Lead implementation of low-level security controls in Cloud environments, for services, server and containers
- Remotely diagnose & resolve DevSecOps issues in customer environments - able to resolve their DevOps issues that may be interfering with CloudPassage processing.
- Interact with CloudPassage Engineering team by providing customer issue reproduction and data capture, technical diagnostics and validating fixes. QA experience preferred.
- Establish and program manage proactive, value-driven, high-touch relationships with your customers to understand, document and align customer strategies, business objectives, designs, processes and projects with Halo platform capabilities and broader CloudPassage services.
- Develop a trusted advisor relationship by building and maintaining appropriate relationships at all levels with your customer accounts, creating a premium and high-caliber experience.
- Ensure continued satisfaction, identify & confirm unaddressed customer needs that can be value-add opportunities for up-sell and cross-sell, and communicate those needs to the CloudPassage sales team. Identify any early CSAT issues and renewal risks and work with the internal team to remediate and ensure strong CSAT and a successful renewal.
- Be a strong customer advocate within CloudPassage and identify and support areas for improvement in the customer experience, both in our product and processes.
- Be team-oriented, but with a bias towards action to get things done for your customers.
Requirements : Strong cloud security knowledge & experience including :
- End-to-end enterprise security processes
- Cloud security - cloud migrations & shift in security requirements, tooling & approach
- Hands-on DevOps, DevSecOps architecture & automation (critical)
- 4+ years experience in security consulting and project/program management serving cybersecurity customers.
- Complex, level 3 technical support
- Remotely diagnosing & resolving DevSecOps issues in customer environments
- Interacting with CloudPassage Engineering team with customer issue reproduction
- Experience working in a security SaaS company in a startup environment.
- Experience working with Executive and C-Level teams.
- Ability to build and maintain strong relationships with internal and external constituents.
- Excellent organization, project management, time management, and communication skills.
- Understand and document customer requirements, map to product, track & report metrics, identify up-sell and cross-sell opportunities.
- Analytical both quantitatively and qualitatively.
- Excellent verbal and written communication skills.
- Security certifications (Security +, CISSP, etc.).
Expert Technical Skills :
- Consulting and project management : documenting project charters, project plans, executing delivery management, status reporting. Executive-level presentation skills.
- Security best practices expertise : software vulnerabilities, configuration management, intrusion detection, file integrity.
- System administration (including Linux and Windows) of cloud environments : AWS, Azure, GCP; strong networking/proxy skills.
Proficient Technical Skills :
- Configuration/Orchestration (Chef, Puppet, Ansible, SaltStack, CloudFormation, Terraform).
- CI/CD processes and environments.
Familiar Technical Skills & Knowledge : Python scripting & REST API's, Docker containers, Zendesk & JIRA.










