
- Strong B2B Product Manager Profiles
- Mandatory (Experience 1) - Must have 4+ years of experience with 2+ years as a Product Manager
- Mandatory (Experience 2) - Must have experience working in early-stage products (with early stage startups or in big startups/companies driving 0-to-1 product development and building MVPs)
- Mandatory (Experience 3) - Must have hands-on experience in writing PRDs, BRDs, user stories, and maintaining product documentation for cross-functional teams.
- Mandatory (Company) - Product companies only (B2B preferred)
Preferred
- Preferred (Experience) – Prior experience as a developer or tech role is a plus

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About Company
Our client is an Indian D2C brand into a Premium Luxury Destination to shop exclusive Designer wear.
We are hiring an HR Business Partner for a luxury retail & e-commerce omnichannel platform that is well-funded and is now ready for its next level of growth. Backed by reputed investors, it is already a leader in its space. The focus for the coming years will be on scaling the business with technology as its backbone. Market-driven competitive salary for the right candidate
Role Summary:
As a Store Manager, you will drive store profitability by overseeing operations, implementing sales strategies, ensuring exceptional customer service, and leading a high-performance team. If you're prepared for a challenging and rewarding role, apply to contribute to our company's success.
Expectations and Summary of Role:
Job Duties and Responsibilities:
- Drive top-line sales revenue and profitability.
- Develop and communicate SMART store targets.
- Resolve escalated customer complaints and collect feedback.
- Execute marketing strategies to increase the customer base.
- Establish standardized systems for smooth store operations.
- Manage team deliverables, resolve conflicts, and maintain high morale.
- Participate in the hiring process and develop the sales team.
- Prepare analytical reports on store performance for management.
Requirements
- Proven experience as a Store Manager or in a similar role.
- Strong leadership and people management skills.
- Excellent communication and interpersonal abilities.
- Demonstrated ability to drive sales and achieve targets.
- Knowledge of retail operations and customer service principles.
- Analytical and problem-solving skills.

Responsibilities:
• Build customer facing solution for Data Observability product to monitor Data Pipelines
• Work on POCs to build new data pipeline monitoring capabilities.
• Building next-generation scalable, reliable, flexible, high-performance data pipeline capabilities for ingestion of data from multiple sources containing complex dataset.
•Continuously improve services you own, making them more performant, and utilising resources in the most optimised way.
• Collaborate closely with engineering, data science team and product team to propose an optimal solution for a given problem statement
• Working closely with DevOps team on performance monitoring and MLOps
Required Skills:
• 3+ Years of Data related technology experience.
• Good understanding of distributed computing principles
• Experience in Apache Spark
• Hands on programming with Python
• Knowledge of Hadoop v2, Map Reduce, HDFS
• Experience with building stream-processing systems, using technologies such as Apache Storm, Spark-Streaming or Flink
• Experience with messaging systems, such as Kafka or RabbitMQ
• Good understanding of Big Data querying tools, such as Hive
• Experience with integration of data from multiple data sources
• Good understanding of SQL queries, joins, stored procedures, relational schemas
• Experience with NoSQL databases, such as HBase, Cassandra/Scylla, MongoDB
• Knowledge of ETL techniques and frameworks
• Performance tuning of Spark Jobs
• General understanding of Data Quality is a plus point
• Experience on Databricks,snowflake and BigQuery or similar lake houses would be a big plus
• Nice to have some knowledge in DevOps


-Work with other company's leaders to design and drive the plan for company's vision.
-Recruit great engineers, in collaboration with company's recruiting team.
-Develop engineers on the team, helping them advance in their careers.
-Empower the engineering team to achieve a high level of technical productivity, reliability and
simplicity.
-Contribute to engineering-wide initiatives as a member of company's engineering management team.
Requirements:
-Bachelor's degree in Computer Science or related technical discipline (Tier I colleges preferable).
-A track record of leading productive engineering teams.
-Successfully recruited great people to your teams.
-The ability to thrive on a high level of autonomy and responsibility.
-The desire to encourage a healthy work environment that's both supportive and challenging.
-A genuine excitement to help engineers develop new skills and advance in their careers.
-Enough technical sense to ask engineers good questions about architecture and product decisions.
-7+ years of relevant engineering and hands-on technical management experience.
-Previous experience at good tech startups/product companies.
-Strong hands-on experience in full stack development and architecture using NodeJS, MVC,
microservices, UI & UX (React), ORM tool (Sequelize), CICD tools (Git, Jenkins, AWS).
-Excellent knowledge of RDBMS, SQL, NoSQL, Cache, Linux based systems.


- Mandatory skills -PHP Experience.
- Experience in web application development and web developer.
- Good Knowledge of PHP, MySQL, jQuery, Javascript, HTML5, CSS3, XML
- Good debugging skills .
- Expertise in MVC Frameworks and good technology exposure of CI/Larvel frameworks added advantage.


Key Skills Required :
- Proficiency in Python 3.x based web and backend development
- Solid understanding of Python concepts
- Strong experience in building web applications using Django
- Experience building REST APIs using DRF or Flask
- Experience with some form of Machine Learning (ML)
- Experience in using libraries such as Numpy and Pandas
- Hands on experience with RDBMS such as Postgres or MySQL including querying
- Comfort with Git repositories, branching and deployment using Git
- Working experience with Docker
- Basic working knowledge of ReactJs
- Experience in deploying Django applications to AWS,Digital Ocean or Heroku
Responsibilities :
- Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
- Building high quality code using coding standards based on the SRS/Documentation
- Building component based, maintainable, scalable and reusable backend libraries/modules.
- Building & documenting scalable APIs on the Open Spec standard
- Unit testing development modules and APIs
- Conducting code reviews to ensure that the highest quality standard are maintained
- Securing backend applications and APIs using industry best practices
- Troubleshooting issues and fixing bugs raised by the QA team efficiently.
- Optimizing code
- Building and deploying the applications
* Understanding of building architecture from product requirements.
* Experience of leading teams of developers to maximise performance.
* Knowledge of Multithreading, Thread Pooling, Background Jobs and Schedule Jobs with supporting tools and libraries.
* Working on Microservices based architecture using spring cloud, distributed application pattern and multiple data source management in the application.
* Working on Linux and Windows based OS and their command line tools.
* Working with unit testing frameworks.
* Object-Oriented development and Metaprogramming.
* Experience in working with the SQL Databases (MySQL or PostgreSQL) and No SQL. Databases (Cassandra or MongoDB).
* Knowledge of server configuration management and deployment techniques. Good to have experience in handling DevOps tools like Jenkins and containerization using Docker.
* Experience in working with different AWS cloud services.

Job Description
Responsibilities
-
Ability to translate Wireframes and PSD Designs into functional web apps using HTML5, AngularJS, React , Node.js, and Mongo
-
Binding of UI elements to JavaScript object models
-
Creating RESTful services with Node.js
-
Architect scalable web architectures
-
Work in a cross-functional team to deliver a complete user experience
-
Create Unit and Integration tests to ensure the quality of code
-
Be responsive to change requests and feature requests
-
Write code that is cross-platform and cross-device compatible
-
Ability to wear many hats and learn new technologies quickly
Qualifications
Experience
-
2-3 years minimum in creating complex HTML based solutions
-
Detail oriented experience as a Web Developer creating Angular based solutions
-
1-2 years with Node.js and Express
-
Ability to work both independently and in collaborative teams to communicate design and build ideas effectively
-
Experience using asynchronous RESTful services (JSON)
Requirements
-
Fluent knowledge of latest HTML/CSS standards and best practices
-
Working knowledge of JavaScript and AngularJS
-
Working knowledge of Node.js and Express
-
Solid Understanding of HTTP protocol and how server-side code is processed on the client
-
Some experience with Photoshop or Sketch is a plus (creating sprites, optimizing, cutting or adjusting images)
-
Working knowledge of front end optimization and performance techniques
-
Obsession with lean, clean and organized front-end code
-
Cross-browser development and troubleshooting
-
Experience building Responsive websites for web, tablet and mobile devices
-
Eye for details is crucial
-
Able to handle multiple projects and competing deadlines
-
Good understanding of overall web design including basic usability, accessibility, industry standards, architecture, and navigation
-
Portfolio of work required. Include examples of all areas of interaction design (user flows, wireframes, final graphical display)




DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

