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- Drive and own sales and revenue targets from ecommerce operations for the brand marketing campaign on marketplaces and offer management
- Monitor, measure and maintain reports on performance to drive attainment of defined objectives by optimisation
- Plan and execute promotional schemes and campaigns to maximise growth
- Providing insights into latest consumer and shopping trends to identify assortment gaps & selection and plan effective branding strategies Performance marketing Inventory management Catalogue mapping ,listing
- Plan the AOP business closely with the customer and the internal teams – to help deliver the toplines at a quarterly and annual level
- Keep track of all the health and hygiene measure – Stock holding of the e-tailers in terms of the number of days as well as the quality of the stock, ensure correct PO execution, track and ensure availability of our SKUs Work on monthly offtake plan for all brands – tracking the same periodically and ensuring the right inputs are planned both on-platform and off-platform to drive business
- Manage the e-tailer PnL and ensure that we keep a close track on the profitability of the account and keep a check on the promotional expense
- Opening new platforms for the brand
- 3-4 years of handling ecommerce platforms - Amazon Flipkart,Big Basket
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Experience Level
This role is ideal for engineers with total 5+ years of experience with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
What You’ll Do as a Software Craftsperson
- Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming
- Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality
- Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production
- Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems
- Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback
- Investigate and resolve production issues, and implement systemic improvements to prevent recurrence
- Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions
- Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering
Requirements
What You’ll Bring
- 5+ years of experience building high-quality, production systems (flexible based on demonstrated capability)
- Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD
- Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability
- Proficiency in one or more modern technologies, Python, PHP, JavaScript, or TypeScript, with the ability to learn new technologies quickly
- Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality
- Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability
- Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions
- A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
Job Description:
1. Machine Learning Development & Deployment
· Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.
· Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.
· Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.
2. Cross-Functional ML Use Cases
· Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.
· Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.
3. Model Governance and MLOps
· Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.
· Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).
4. Data Engineering and Feature Architecture
· Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.
· Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration
· Present technical insights and model results to business and executive stakeholders in a clear, actionable format.
· Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.
Qualifications:
Required
• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)
• 4+ years of experience in machine learning, data science.
• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.
• Experience deploying models into production using ML pipelines and orchestration frameworks.
• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).
• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)
Preferred:
• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.
• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).
• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).
• Background in statistics, forecasting, optimization, or recommendation systems.
Job Description: Node.js Developer (3+ Years Experience)
Division/Department: Engineering
Industry: Insurance / Fintech
Employment Type: Full-Time, Permanent
Job Summary
We are looking for a skilled Node.js Developer who is experienced with JavaScript/TypeScript, databases, and modern AI development tools. You will build and maintain backend applications, design scalable systems, and use AI tools to enhance development productivity. The role involves backend development, database management, API development, and cloud deployment.
What You’ll Be Doing
Backend Development
- Build and maintain Node.js applications, services, and APIs.
- Write clean, readable JavaScript/TypeScript code.
- Create and manage REST APIs; work with GraphQL when required.
- Develop microservices and containerized applications (Docker).
- Participate in code reviews and help maintain coding standards.
Database Work
- Design database schemas for PostgreSQL, MongoDB, and Redis.
- Write optimized SQL and NoSQL queries.
- Implement indexing and manage database performance tuning.
- Handle database scaling and caching strategies.
AI Tools & Productivity
- Use AI coding assistants (GitHub Copilot, Cursor AI, Tabnine).
- Integrate AI APIs (OpenAI, Claude) into backend applications.
- Build features powered by AI/ML capabilities.
- Use AI tools to debug and enhance code quality.
Deployment & Operations
- Deploy applications on AWS, Azure, or GCP.
- Set up CI/CD pipelines (GitHub Actions, Jenkins).
- Work with Docker and Kubernetes.
- Monitor backend services and perform troubleshooting.
Job Requirements
Must-Have (2–7 Years Experience)
- Strong hands-on experience with Node.js and Express.js.
- Excellent understanding of JavaScript/TypeScript, ES6+, async/await.
- Experience with at least one major database: PostgreSQL, MongoDB, Redis.
- Knowledge of API development (REST, GraphQL).
- Hands-on experience with Git and version control.
- Experience with testing tools like Jest, Mocha, or similar.
AI Tools Experience
- Familiarity with AI coding assistants.
- Working with AI APIs (OpenAI, Claude, etc.).
- Experience using AI tools for debugging and code optimization.
- Basic understanding of prompt engineering.
Bonus Skills (Good to Have)
- Cloud platforms: AWS, Azure, Google Cloud.
- Docker, Kubernetes.
- CI/CD pipelines.
- Frontend exposure (React/Vue/Angular).
- Message queues: RabbitMQ, Kafka.
- Caching: Redis, Memcached.
- API security: JWT, OAuth2.
Mandatory Skills
Technical
- Experience building and deploying Node.js applications.
- Strong command over databases and efficient query writing.
- Comfort with AI-based coding tools.
- Ability to debug and solve backend issues independently.
Soft Skills
- Strong communication and teamwork skills.
- Self-driven and eager to learn new technologies.
- Ability to mentor junior developers (for senior positions).
- 1-2 years experience - Manage MySQL on Linux/Windows environments (preferably Percona/MySQL Community/MySQL Enterprise).
- Perform routine maintenance including patching and schema management.
- Prior experience in query optimization, indexing strategies, and slow query analysis is a plus
- Strong Communication Skills
Strong sales executive profile
Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms
Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure
Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.
Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders
Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.
Mandatory (Company): B2B SaaS Product companies
Mandatory(Exclusion) : Profiles with Only EdTech background will not be considered.Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions
Looking for a seasoned technology leader to head the tech division of our software services company. This is the senior-most technology role, responsible for delivery excellence, architecture, and team leadership across multiple client projects.
Looking to hire a single backend engineer who will become a part of the core team, with the track to become a part of the leadership at our company.
Candidate should have worked in startups, possess strong programming skills in Python, displays a sense of ownership and is highly energetic and eager to learn state-of-the-art tech and ML.
A minimum of 2 years of relevant experience is preferred.
2022 or later year pass outs - please apply only if you have relevant full-time and at least 2 prior internships experience
Representative (not exhaustive) responsibilities:
- Assess the current design and infrastructure of the backend server, and continuously implement enhancements to make the systems more robust, reliable and responsive
- Design, implement, test, and deploy APIs with Python on Linux servers
- Enhance back-end functionality and integrate with the front end to deliver a fully functional product
- Implement and set up automated tests to periodically test backend infrastructure for reliability, security and performance
- Design new data pipelines to enable the production deployment of new models
- Mentor junior employees and interns in the company
- Additionally, interest and ability to contribute to the continuous enhancement of our state-of-the-art NLP model pipeline and Inferencing engine is a big plus
- Be ready to roll up your sleeves and participate in customer calls, understand our ICP well, do research around product features, etc.
Fast Track Your Application
Think about the ICP for ContractKen. Sign up for a trial plan, experience the product and provide feedback on how to improve the current experience of the product to add immediate value to the ICP. We don't need you to fully code any feature in its entirety and are not looking for free work. The idea is to identify folks who get** what we are trying to do with ContractKen and find faster alignment with the right candidate.
Do not apply if
You're looking for your first, real-world model building, ML/AI role. We believe that deploying existing models (open source and proprietary) in production and delivering real business value to our customers is 10x more important than hyperparameter tuning or the latest algorithm implementation. While we'd love to entertain experienced ML data scientists, the emphasis on MLOps is as much as it is on experimentation.
Job brief
We are looking for an SEO/SEM expert to manage all search engine optimization and marketing activities.
You will be responsible for managing all SEO activities such as content strategy, link building and keyword strategy to increase rankings on all major search networks. You will also manage all SEM campaigns on Google, Yahoo and Bing in order to maximize ROI.
Responsibilities
- Execute tests, collect and analyze data and results, identify trends and insights in order to achieve maximum ROI in paid search campaigns
- Track, report, and analyze website analytics and PPC initiatives and campaigns
- Manage campaign expenses, staying on budget, estimating monthly costs and reconciling discrepancies.
- Optimize copy and landing pages for search engine marketing
- Perform ongoing keyword discovery, expansion and optimization
- Research and implement search engine optimization recommendations
- Research and analyze competitor advertising links
- Develop and implement link building strategy
- Work with the development team to ensure SEO best practices are properly implemented on newly developed code
- Work with editorial and marketing teams to drive SEO in content creation and content programming
- Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.
Requirements and skills
- Proven SEO experience
- Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.
- Solid understanding of performance marketing, conversion, and online customer acquisition
- In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends)
- Experience with bid management tools (e.g., Click Equations, Marin, Kenshoo, Search Ignite)
- Experience with A/B and multivariate experiments
- Working knowledge of HTML, CSS, and JavaScript development and constraints
- Knowledge of ranking factors and search engine algorithms
- Up-to-date with the latest trends and best practices in SEO and SEM
- BS/MS degree in a quantitative, test-driven field
Should have strong experience with Core Javascript
Should have excellent programming skills.
Should be able to understand and appreciate the key considerations to be made during digital product development including user experience and UI
Should have strong exposure to AngularJS/NodeJS/ ExpressJS /
Bootstrap/Mongo DB/ ReactJS
Roles and Responsibility:
The developers job profile will be building and maintaining products built on MERN/MEAN stack
Provide innovative solutions to complex business problems
Coding and implementation using best practices to produce high performing/scalable/secured modules
Execute product development and prototyping






