Dcluttr is an AI-copilot for growth. We are challenging a brand’s most trusted decision-making tool - the gut feeling. Join us in disrupting the global e-commerce AI analytics space. As one of our early team members, you will work closely with the founders, set up critical data processes from scratch, and achieve rapid career growth in a high-impact startup environment. Responsibilities: Analyze large datasets to extract meaningful trends and business insights Write and optimize SQL queries for data extraction, transformation, and reporting Collaborate with internal teams to improve data processes and enhance reporting efficiency Stay updated with industry trends, especially in quick commerce and e-commerce, to provide relevant insights Work closely with the founders to build data-driven solutions and scale our AI-driven analytics capabilities from the ground up Requirements: Strong communication skills to effectively interact with clients and internal teams Proficiency in SQL with experience working on large datasets Understanding of data warehousing concepts and ETL processes Strong problem-solving skills and the ability to thrive in a fast-paced startup environment Hunger to learn new things - you will be thrown problems you haven’t seen before, and you should be excited to figure them out Nice to have: Familiarity with quick commerce and e-commerce industries Experience with Python, R, or other programming languages for data analysis Experience working in an early-stage startup and setting up data processes from scratch If you think you're the right fit, hit apply. Let's disrupt, together :)

Dcluttr is an AI-Copilot for growth. We are challenging a brand’s most trusted decision-making tool - the gut feeling. Join us in disrupting the global e-commerce AI analytics space. As one of our early team members, you will work closely with the founders and achieve rapid career growth in a fast-paced startup environment. You will be working directly with leading consumer brands (and their founders, CMOs, and category heads) to help them win on platforms like Blinkit, Zepto, and Instamart. Responsibilities: Plan, launch, and optimise digital ads across quick commerce platforms like Blinkit, Zepto, Instamart, etc. Use Dcluttr to grow brands: optimise availability, visibility, pricing, and ads pipelines Work with client teams directly: align on strategy and troubleshoot live issues Run structured experiments: geo splits, discount strategies, targeting new keywords, and more Track key performance metrics including ROAS, CTRs, CPCs, keyword × SKU × city performance, share of voice, competitor strategies Codify learnings into reusable growth playbooks and case studies that scale across the portfolio Shape the product roadmap by feeding back client needs and growth pain points Requirements: 2+ years of experience in Google Ads, Amazon Ads, or quick commerce ad platforms Strong communication skills - you’ll be client-facing and strategy-owning Hands-on with campaign management and performance analysis (Excel/Sheets fluency is a must) Solid grasp of growth and ad performance metrics Basic understanding of the quick commerce space (Optional) Prior experience working directly with brand teams, category managers, or CMOs (Optional) Proficiency in SQL Why Join Us? Innovate at Scale: Work on cutting-edge, data-driven solutions that change the game for businesses. Fast-Paced: Join a high-energy team where speed, creativity, and your impact are everything. Get Rewarded: Competitive salary, ESOPs, and benefits, plus a chance to own a piece of the pie. You’ll be in a team of high-performing superstars & it’ll be hard to keep up if you’re not one. It will be extremely intense, high ownership & rewarding personally & professionally. If that sounds good to you, hit apply - we'd love to talk :)

Dcluttr is an AI-Copilot for growth. We are challenging a brand’s most trusted decision-making tool - the gut feeling. Join us in disrupting the global e-commerce AI analytics space. As one of our early team members, you will work closely with the founders, design and build high-impact applications, and achieve rapid career growth in a fast-paced startup environment. Responsibilities: Develop scalable backend architectures Implement mutli-agent AI workflows Design, build, and maintain scalable and efficient ETL pipelines using tools like Airbyte and Airflow Work with large datasets, ensuring performance and reliability at scale Write optimised SQL queries for complex data extraction, transformation, and loading Collaborate with product and analytics teams to ensure data availability and integrity Monitor and improve data quality, pipeline performance, and overall infrastructure health Build JSON controlled UI architecture Requirements: Proficient in Java (required) and/or Python Proficient in SQL - ability to write and optimise complex queries Solid understanding of data modelling, data warehousing, and distributed systems Hunger to learn and solve tough, ambiguous data problems in a fast-paced startup environment (Optional) Prior experience in large-scale web/API scraping using proxies and rotating IPs Why Join Us? Innovate at Scale: Work on cutting-edge, data-driven apps that change the game for businesses. Fast-Paced: Join a high-energy team where speed, creativity, and your impact are everything. Get Rewarded: Competitive salary, ESOPs, and benefits, plus a chance to own a piece of the pie. You’ll be in a team of high-performing superstars & it’ll be hard to keep up if you’re not one. It will be extremely intense, high ownership & rewarding personally & professionally. If that sounds good to you, hit apply - we'd love to talk :)

Dcluttr is an AI-Copilot for growth. We are challenging a brand’s most trusted decision-making tool - the gut feeling. Join us in disrupting the global e-commerce AI analytics space. As one of our early team members, you will work closely with the founders and achieve rapid career growth in a fast-paced startup environment. You will be working directly with leading consumer brands (and their founders, CMOs, and category heads) to help them win on platforms like Blinkit, Zepto, and Instamart. Responsibilities: Plan, launch, and optimise digital ads across quick commerce platforms like Blinkit, Zepto, Instamart, etc. Use Dcluttr to grow brands: optimise availability, visibility, pricing, and ads pipelines Work with client teams directly: align on strategy and troubleshoot live issues Run structured experiments: geo splits, discount strategies, targeting new keywords, and more Track key performance metrics including ROAS, CTRs, CPCs, keyword × SKU × city performance, share of voice, competitor strategies Codify learnings into reusable growth playbooks and case studies that scale across the portfolio Shape the product roadmap by feeding back client needs and growth pain points Requirements: 2+ years of experience in Google Ads, Amazon Ads, or quick commerce ad platforms Strong communication skills - you’ll be client-facing and strategy-owning Hands-on with campaign management and performance analysis (Excel/Sheets fluency is a must) Solid grasp of growth and ad performance metrics Basic understanding of the quick commerce space (Optional) Prior experience working directly with brand teams, category managers, or CMOs (Optional) Proficiency in SQL Why Join Us? Innovate at Scale: Work on cutting-edge, data-driven solutions that change the game for businesses. Fast-Paced: Join a high-energy team where speed, creativity, and your impact are everything. Get Rewarded: Competitive salary, ESOPs, and benefits, plus a chance to own a piece of the pie. You’ll be in a team of high-performing superstars & it’ll be hard to keep up if you’re not one. It will be extremely intense, high ownership & rewarding personally & professionally. If that sounds good to you, hit apply - we'd love to talk :)