About Sundial Sundial is a top VC-backed early-stage startup headquartered at San Francisco Bay Area, US with a second office in Bengaluru, India. We have raised $23M to build the analytics platform for the AI era. Our founders are industry veterans Chandra Narayanan, previously Chief Data Scientist at Sequoia Capital, and Julie Zhuo, previously VP, Design and Research at Facebook, author of a bestselling management book. We are a small team of top talent, high caliber Engineers, Data Scientists, Designers and PM (currently 49 in India, 5 in US) and rapidly growing. We are on a mission to help builders make meaningful use of data to fulfill their vision. Sundial automatically diagnoses a product's data to explain the "what" and the "why" to enable faster and better decision making. Now Pull up a chair! We're excited to tell you more about our vision for Sundial! By now, you've probably visited our website and maybe our LinkedIn page and browsed around the profiles of our team members. If you haven't yet, please take a moment to do so. We'll wait 🙂 Okay, now you know at a high level that we are focused on data storytelling. The data space has over $100B in market opportunity ahead of it, and modern Business Intelligence tools are growing at over 15% year over year.We've seen this evolution firsthand. Our co-founders Chandra Narayanan and Julie Zhuo cut their teeth scaling Facebook from a few million college students to billions of people. To make the best decisions possible, companies are investing more and more into understanding their data. And yet, demand far outpaces supply for Data Scientists and Data Platform Engineers who can construct useful narratives out of the growing firehose of raw data, tables and charts. Currently most data-centric organizations have a large Data Platform and Data Science team that builds Big Data Platforms, Insights Data stores to bring data into dashboards and manually generates reports to communicate the product story broadly. But a large part of this process can be easily productised. At Sundial, we're building a Sundial’s Insights Data Platform. This platform converts raw data in large Data Warehouses into a universe of deep product insights that product teams—including PMs, data scientists, executives and engineers—consume easily. This involves Highly Scalable, Robust Distributed Data Platform which can consistently, repeatably run complex Data Science and Transformation algorithms at Cloud Scale. We envision a future where every organization becomes a data-informed organization through our work of: Productising the diagnostic analysis of yesterday so teams can focus on the strategic bets for tomorrow. Making data understanding easy and accessible to everyone, not just data scientists. Surfacing opportunities of improvement in growth across segments We believe better usage of data leads to better products, and better products lead to better experiences for people. Responsibilities: Developing and enhancing the framework for Agents, Prompting, and Retrieval-Augmented Generation (RAG) to build generative AI agents, multi-agent frameworks and tools for our product. Integrating and optimising machine learning models into our Sundial Insights Platform. Building out the infrastructure for using AI Platforms or hosting and deploying tuned AI models, ensuring high availability and scalability. Collaborating with data scientists and other engineers to understand data gaps and improve our Generative AI use-cases Designing and implementing efficient data pipelines to support ML operations and data processing needs. Working with cutting-edge AI technologies and contributing to the development of new AI-driven features and capabilities. Designing and building systems and features from scratch at a rapid pace and high quality. Requirements: Strong Software Engineering fundamentals, Computer Science fundamentals, ML Engineering fundamentals, coding, and design capabilities. Experience in ML Engineering, ML Ops, and backend engineering for hosting and building tools using Public AI Platforms or open source ML models. Familiarity with generative AI techniques, frameworks for Agents/Prompting/RAG, and model deployment. Familiarity with libraries like Langgraph, Langchain, Llamaindex, Autogen etc. Experience with data engineering as part of ML engineering, including building and managing data pipelines. Familiarity with cloud services such as AWS, GCP, or Azure and tools for ML Ops. Proficiency in programming languages such as Python, Golang, SQL, and experience with ML frameworks like TensorFlow, PyTorch, etc. A Bachelor’s or Master’s in Computer Science or a related field, or equivalent work experience. Should have at least 3 years of experience working on some of the above areas. Prior experience working in a fast-paced startup environment. You will probably like working with us if: You like the ownership, camaraderie and chaos of a start-up environment - Start-ups are not right for everyone. Things move quickly and change frequently. Start-ups haven't "made it" yet. We have to convince customers we are valuable enough to them. We must be scrappy and flexible. Everyone will wear lots of hats. But: if you have future aspirations of being an entrepreneur or leader, you'll find few better learning grounds. You'll learn by doing. You'll be given a ton of trust and responsibility. You'll see very transparently how we operate and make decisions. Your work will absolutely matter to the success of our company. You value learning and have a growth mindset - Sundial is founded on the idea that slope is far more important than intercept. We are a learning environment, and all of us have something to teach and learn from each other. We invest heavily in learning sessions, sharing insights, and reflecting on our growth. You're interested in understanding how companies grow, and how data plays a role - Unlocking the secrets of data is our bread and butter. How do successful companies grow? How do different types of businesses create value for users in an economically scalable way? If you find this area to be as fascinating as we do, that's awesome, because you're going to become an expert in this domain. :) Benefits: 🤑 Competitive salary & options package—A rewarding compensation structure that includes competitive pay and equity, ensuring your contributions are valued. 🌏 Global culture – Collaborate with diverse teams across San Francisco and Bangalore, gaining exposure to international perspectives. 🏝️ Unlimited vacation days—A trust-based policy encouraging you to recharge and return at your best. 🍽️ Food in the Office – Enjoy daily lunch at the office, with the freedom to choose what you want to eat. Interested? We’d love to hear from you—apply now!
Responsibilities Owning, building, and maintaining end-to-end implementation of product features, handling both frontend and backend components. Build rich, dynamic, and performant experiences, focusing on pixel-perfect UI, smooth interactions, and optimized performance. Build data-intensive AI-friendly UI features (e. g., charts, interactive tables, and editors) by extending libraries and React component systems. Work with designers, product managers, data scientists, and engineers to process large data sets seamlessly. Build secure, scalable APIs and applications, ensuring data protection for sensitive customer information. Thrive in a fast-paced, collaborative, low-ego environment with a deep sense of ownership and a growth mindset. Requirements Proficiency in building and owning full-stack web application features with a strong focus on delivering a delightful user experience. Proficiency in React, TypeScript, and modern frontend development, along with a good understanding of core web technologies (HTML, CSS, JavaScript). Ability to implement features independently in a data-heavy frontend with complex workflows, interactions, and visualizations. Proficiency in designing and integrating GraphQL or RESTful APIs for data-intensive applications. Familiarity with programming languages such as Python, Go, and SQL, and backend infrastructure including PostgreSQL, OpenSearch, and Kubernetes is a good to have. Close attention to detail and design sense to differentiate bad UX from good UX. This job was posted by Akshaja M from Sundial.
Responsibilities Own, build, and maintain end-to-end implementation of product features, handling both frontend and backend components. Work with designers, product managers, data scientists, and engineers to process large data sets seamlessly. Design and scale services that power the Sundial Analytics Data Model and cloud-based Data Platform. Build secure, scalable APIs and applications, ensuring data protection for sensitive customer information. Thrive in a fast-paced, collaborative, low-ego environment with a deep sense of ownership and a growth mindset. Requirements Proficiency in building and owning full-stack web application features with a strong focus on delivering a delightful user experience. Experience building backend platforms, distributed systems, and services for SaaS products, including data-centric and event-driven architectures. Strong familiarity with programming languages such as Python, Go, and SQL, and backend infrastructure including PostgreSQL, OpenSearch, and Kubernetes. Proficiency in designing and integrating GraphQL or RESTful APIs for data-intensive applications. Familiarity with AWS services, analytics, and big data systems like Trino and Spark. Background in building distributed systems and data platforms for analytics and data science. This job was posted by Akshaja M from Sundial.