Amazon / Flipkart / QCom Performance Marketer, ProV Foods

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AI-Native Performance Marketer

Location: Mumbai

Compensation: ₹12–15L + Performance Incentives

ProV is building a modern consumer brand in the premium nuts and healthy snacks category. With deep roots in sourcing and a rapidly growing digital distribution engine, ProV is focused on building a strong direct-to-consumer presence alongside modern trade and marketplace channels.

Our ambition is simple: build a brand that consumers trust, while using modern growth systems, data, and AI to scale intelligently.

We're looking for an AI-native performance marketer who thinks in funnels, numbers, and experiments.

This role owns the end-to-end digital acquisition engine for our eCom and QCom marketplaces— from generating top-of-funnel demand to PDP Converstion - managing the RoAS / TaCoS / ACoS - as per respective platforms.

• Build data-driven growth system that continuously improves creative, hooks, audiences, and unit economics.

You will:

• Own paid acquisition across Meta, Google, and other emerging channels
• Design and manage full-funnel growth systems (TOF, MOF, BOF)
• Build and manage retargeting strategies and budgets
• Monitor creative performance, hooks, and competitors via ad libraries
• Set up AI-assisted workflows using MCP tools to analyze campaign and content performance
• Build attribution and reporting systems
• Continuously test creatives, landing pages, offers, and funnels
• Translate data into clear actions that grow revenue efficiently

You are a numbers-first growth operator who is comfortable with both marketing and modern tooling.

You likely:

• Have 3–6 years of performance marketing experience in D2C or ecommerce
• Are comfortable managing ₹50L+ annual digital ad budgets
• Understand eCom and QCom analytics, attribution, incremental CAC, ACoS, RoAs and the levers to optimize
• Regularly study ad libraries, hooks, creatives, and competitor funnels
• Are comfortable using AI tools, automation, and cloud workflows
• Can set up simple data pipelines, dashboards, or MCP-style evaluation workflows
• Think in experiments, funnels, and unit economics
• Prefer shipping fast, measuring results, and improving continuously