We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data-driven decisions every day. We also give them insights into long-term strategy. We are focussed on creating value for our customers and helping them succeed. We are also responsible for creating and maintaining internal products and tools that help the rest of the organization scale. Our data science, data quality, CSM, and marketing teams use tools built by us. They are our internal customers.
Data Platform team builds and maintains core SaaS infrastructure responsible for data aggregation, processing and data distribution. DevOps is integral part of the platform team. With huge volume data to be processed, stored and secured across various computing needs like Machine Learning, Report Generation, Image processing etc. there is a need of massive, optimized infrastructure. We achieve it by taking hybrid cloud approach, combined with container based highly manageable, scalable deployments.
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! Read more on Become a DataWeaver
A career with DataWeave gives you all the opportunities and benefits that can only come from working for a trusted industry leader. By joining our team, you'll be able to solve real-life problems, make a difference, have a global impact, and join a supportive group of globally diverse teammates. We encourage you to be yourself, grow with us, and unleash your potential.
Understand the DataWeave solution offerings deeply and map them to the right market segments & customer profiles in the region. Develop a plan & execute to build a robust sales pipeline thru lead generation activities like drip campaigns, direct contacts, events, etc. Execute every month for meeting & exceeding revenue targets and design wins. Set up processes for accurate forecasting, assessing competition, consistent sales tools usage, etc. Work with other teams especially Customer Success, delivery, and product group to meet & exceed customer expectations. Be the conduit for market & competitive feedback & suggestions for product improvements. Represent the company in industry events, trade shows, and other such platforms as and when needed.
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 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.
The marketing team at DataWeave wakes up to take unique challenges head-on in an industry ecosystem that’s only now beginning to consolidate and mature globally. This affords marketeers the opportunity to mould the story of a rapidly growing company like DataWeave in an up-and-coming space. We serve markets around the world, including United States, Europe, India, the Middle East, and South East Asia. We target a variety of industry verticals, including retail, e-commerce, consumer brand manufacturing, and investment firms. As a result, marketing at DataWeave is a rich learning experience and a crash course in engaging multiple audiences across the breadth and depth of organization levels using relevant content across diverse communication channels.
We the Delivery / Data engineering team at DataWeave, deliver the Intelligence with actionable data to the customer. One part of the work is to write effective crawler bots to collect data over the web, which calls for reverse engineering and writing scalable python code. Other part of the job is to crunch data with our big data stack / pipeline. Underpinnings are: Tooling, domain awareness, fast-paced delivery, and pushing the envelope.
We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data-driven decisions everyday. We also give them insights for long-term strategy’. We are focussed on creating value for our customers and help them succeed. We are also responsible for creating and maintaining internal products and tools that help the rest of the organization scale. Our data science, data quality, CSM, and marketing teams use tools built by us. They are our internal customers.
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