clarisights
Work directly with the growth and analytics teams at Uber, Delivery Hero, HelloFresh, Universal Music Group, and other category-defining global brands. You'll be their go-to technical partner on a platform they use every day to inform how they spend hundreds of millions in marketing budget. ABOUT CLARISIGHTS Clarisights is a full-stack marketing analytics platform for humans and AI agents. We ingest data from every ad platform, analytics tool, and internal data source a marketer uses, model and harmonise it, and turn it into the dashboards and reports their teams run their business on. LLMs can parse data, build reports, and make changes inside Clarisights as naturally as a human can — accessible directly from Claude, ChatGPT, or Gemini via MCP. We're a team across Bengaluru, Berlin, and San Francisco, working with some of the most data-mature marketing teams in the world. Our customers treat us as an extension of their own analytics team - that’s the bar this role is built around.
You'll work hands-on with a small portfolio of large international customers. Your day-to-day: - Run working sessions with your customers' analytics and marketing leads — understand their reporting needs and translate them into dashboards, calculated metrics, and data models inside Clarisights - Investigate data questions that span SQL, our ingestion pipelines, and the customer's own sources ("why is this number different from what Meta Ads Manager shows?") - Own the technical side of pilots and new customer onboarding — defining success criteria, building the initial reporting setup, and getting accounts to production-grade within the first few weeks - Build and optimise reports and dashboards that hundreds of marketers inside our customer accounts use daily - Translate customer requests into clear technical specs for our Product and Engineering teams, and help prioritise what gets built - Spot expansion opportunities within customer organisations and feed them back to sales This isn't a ticket-queue support role. You own outcomes for your accounts and have direct relationships with senior stakeholders on the customer side. WHAT YOU'LL BRING If you trained as an engineer but realised you'd rather solve problems alongside people than alone with an IDE, this role is for you. - A degree in engineering - 3–6 years in a technical, customer-facing role — Technical Account Management, Solutions Consulting, Implementation Consulting, Analytics Consulting, or similar - Strong SQL and experience working with large, messy datasets - Excellent written and verbal English — you'll be in daily contact with marketing and analytics teams across Europe and the US - A first-principles problem-solver: when customers bring vague problems, your instinct is to ask sharp clarifying questions and guide the customer on the best approach - Ability to explain technical concepts cleanly to non-technical stakeholders
- Hands-on experience building reports or dashboards in at least one BI tool (Looker, Tableau, Metabase, Power BI, Mode, or similar) - Background in performance marketing, growth, or marketing analytics — familiarity with platforms like Meta Ads, Google Ads, TikTok Ads, or MMPs (AppsFlyer, Adjust, Branch) - Python or R for data analysis - Exposure to data warehousing (BigQuery, Snowflake, Redshift) or ETL concepts WHAT WE OFFER - Benefits like health insurance, meals at work, learning and conference budget…. - Hybrid working from our Bengaluru office - Direct exposure to some of the most sophisticated marketing teams in the world. The technical and commercial learning curve here is steep and durable — people who do this role for two years can go almost anywhere in SaaS or analytics next. HIRING PROCESS Our process takes 2–3 weeks end to end: 1. Recruiter conversation (15 min) — we walk you through the opportunity and learn about your background 2. Culture Fit Interview - ( 30 mins ) - we will outline the opportunity, review your work experience, and look for signs and evidence of culture fit. 3. Customer Success team interview — ( 45-60 mins ) technical conversation focused on data analysis and problem-solving 4. Take-home assignment — a realistic data + presentation exercise; you'll get a short briefing call with a peer, and we expect submissions back within a week 5. Assignment presentation (60–90 min) — present and discuss your work with the team 6. Founder conversation — meet at least one of our founders 7. Offer — close on comp and start date with our talent team Clarisights is an equal-opportunity employer. We welcome applicants from all backgrounds and are committed to building a team that reflects the diversity of the customers we serve.