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Job Title


Algorithm Operations Editor (Experience- 10- 12 years)| Timesofindia.com| Noida


Company : Times Internet


Location : Kanpur, Uttar Pradesh


Created : 2026-04-29


Job Type : Full Time


Job Description

About Times Internet At Times Internet, we build premium digital products that simplify and enhance the everyday lives of people. We are India’s largest digital products company with a presence in a wide range of categories across news, entertainment, marketplaces, and transactions. Many of our products are market leaders & iconic brands in their own right. TOI, ET, Indiatimes, NBT, ET Money, TechGig, Cricbuzz, among others, are products that bring you closer to your interests and aspirations. We are excited by new possibilities and look forward to bringing new products, ideas, and technologies that help people make the most of every day.Build a career of purpose & passion with Times Internet.About TOI is India’s largest and most influential news publisher in English. We inform and actively engage you to drive progress at a local and national level. We bring you the latest news, analysis, and videos across current affairs, business, entertainment, sports, lifestyle, and culture every day.About the role:You'll be part of the team that is scaling the TOI App.Who are we:AI is changing how newsrooms operate. We are the team in TOI that’s at the forefront of this change. TOI App algorithmically distributes TOI and ET stories. We’ve three agents in product: Editorial Judgement, Headline Writing, and AI Irreducibility. Why join:TOI App reaches millions of users monthly. The editorial judgement you encode here governs distribution at that scale. Few editor roles globally operate at this intersection of journalism and AI systems. What we believe:Editors are integral to an AI-run newsroom. AI cannot replace editorial judgement, but editors can encode it into systems that handle day-to-day operations at scale.Do not apply if: You believe AI has no place in the newsroom. You see AI as a replacement for editorial judgement rather than a way to encode and scale it. You want to articulate editorial judgement only verbally. This role requires writing it down: in prompts, datasets, and evals. You expect polished systems from day one. We ship imperfect intermediate states and iterate in public. You want a fixed scope. We do whatever it takes to grow the app.Working conditions: 6 days a week, with shifts. Maker's schedule: extended stretches on big tasks, followed by rest. See Paul Graham on maker's schedule.Apply if most of these describe you You are serious about journalism. You've worked in a mainstream newsroom and owned audience engagement for an app. You've operated PNs, feed, and daily properties. You treat journalistic standards as non-negotiable. You are already building with AI. You've done prompt engineering seriously. Not casual ChatGPT usage. You've tested the edge of LLMs, broken them on purpose, iterated. You understand journalism and commerce are intertwined. You'll write utility stories that drive conversion and transactions. You look at users as individual people (CRM), not broad audiences. You'll run PN and in-app campaigns to move specific metrics in Clevertap and GAM. You understand frequency caps, overlaps, targeting. You are high agency. You find problems, learn to solve them, ship, and measure. Healthy skepticism, not inert cynicism. You dogfood obsessively and treat every user conversation as feedback. See The Mom Test. You are structured in thinking and writing. This is an operations job. You are willing to be hacky and do things that don’t scale. Role:Own editorial operations for the TOI App. Encode editorial judgement into AI at scale.Build labelled datasets. Design prompts. Build agents. Run evals. You are the editorial half of model quality. Data scientists are the statistical half. The work compounds: what you encode governs millions of distribution decisions every week. Stay on top of the app and run it.PNs, Feed injections, moderate topics, daily content properties, etc. Frequency caps, overlap, targeting in Clevertap and GAM. User feedback:Play Store reviews, 'Talk to Us' tickets, emails. Tag, triage, escalate, close. Conduct weekly user interviews. Bring verbatim quotes and hypotheses back. Coordinate with other editorial teams:Setup SOPs and ensure they run. Commerce:Write utility stories and conversion-adjacent stories that set up transactions. What success looks like:Growth in engagement time, retention, and reader revenue.