Assistant Manager-Marketing

Role & responsibilities

• Drive performance and branding KPIs across Meta Ads (Advantage+, Performance, Branding, Catalogue Ads).
• Lead end-to-end paid social strategy, including planning, execution, optimization, and performance management.
• Manage product feed usage for Meta; collaborate with tech/category teams to ensure best-in-class feed accuracy and merchandising experience.
• Work closely with internal teams, agency & channel partners to ensure day-to-day growth on social, driving omnichannel impact for stores & .com.
• Develop new concepts, innovations, and consumer journey improvements based on understanding of customer touchpoints.
• Drive ad tech, measurement, and attribution excellenceespecially in digital-to-store impact measurement.
• Monitor and optimize targeting, creatives, bidding and budgets to achieve efficiency at scale
• Drive reporting excellencepackaging data into actionable insights and test-and-learn outcomes.
• Lead A/B tests, platform betas, and exploratory pilots to stay ahead of evolving capabilities
• Support Brand Solutions, Catchment, Private Label, Zipcare, Unboxed and other tertiary campaigns from other internal teams
• Coordinate with internal stakeholders Brand, Category, Creative, Content, Organic, Tech, Analytics for streamlined execution.

Good to Have

• Working knowledge of Google Ads, especially Search, Shopping, and Performance Max.
• Understanding of Google Merchant Center, product feeds, and feed troubleshooting.
• Exposure to biddable digital channels beyond Meta (YouTube, Criteo, etc.).
• Experience in retail digital marketing and omnichannel performance programs

Preferred candidate profile

• 4 to 6 years of experience in digital marketing with strong expertise in Google Ads.
• Strong expertise in Meta Ads with experience managing high monthly spends.
• Strong grasp of analyticsAdobe Analytics, GA, Clevetap/Moengage, attribution tools, data measurement frameworks.
• Technical understanding of ad tech, tracking, tagging, and omni-channel measurement.
• Strong data orientation—ability to interpret trends and drive data-led decisions.
• Excellent communication, cross-team coordination, and stakeholder management skills.
• Basic understanding of AI/GenAI applications in performance marketing.