Performance Marketing Executive

Nexgen Innovators; New Delhi; On-site; INR 1,100,000 - 2,300,000; Full time

Job summary

Nexgen Innovators in Delhi, India seeks a hands-on paid media specialist to manage 3–5 client brands across Google and Meta, with a combined monthly spend of 3–5 lakhs.

You will own the account structure, bidding, audience and testing calendar, and be judged on ROAS, CAC or qualified leads depending on the account.

Qualifications

• 3–5 years running paid media with real budget responsibility.
• Proven scaling of a brand or account without breaking economics.
• Strong understanding of bidding, learning phase, signals and optimization.

Responsibilities

• Build and scale campaigns on Google and Meta.
• Maintain CAC or ROAS targets as spend grows.
• Lead weekly creative testing with design team.
• Ensure accurate data tracking with GA4, GTM, and CAPI.
• Leverage AI tools to audit ads and pull insights.
• Report results to clients in plain language and plan next steps.

Skills

Paid media management

Budget ownership

Cross-platform optimization

Data analysis

Creative testing

Client communication

Tools

GA4

GTM

Meta CAPI

Looker Studio

Apps Script

Job description

The role:

You will run paid acquisition for 3-5 client brands across Google and Meta, roughly 3-5 lakhs a month in combined spend. You own the account structure, the bidding, the audience and creative testing calendar, and the number the client judges us on ROAS, CAC or qualified leads, depending on the account.

This is not a button-pushing job. We expect you at the Monday review with a view: what moved, why you think it moved, and the one change you want to make this week.

What you will do:

• Build and scale campaigns on Google (Search, Shopping, Performance Max, Demand Gen) and Meta (Advantage+ Shopping, manual ASC, catalogue and dynamic product ads).
• Hold CAC or ROAS targets while spend goes up, including the uncomfortable weeks when it does not work.
• Run a weekly creative testing loop with the design team: write the brief, name the hypothesis, read the result honestly.
• Keep tracking trustworthy - GA4, GTM, Meta CAPI, Google Enhanced Conversions, server-side where it exists. If the data is wrong, every optimization on top of it is wrong.
• Use AI tooling properly. We connect assistants to our ads and analytics data over MCP to pull reports, audit accounts and flag anomalies. You will use these daily and build new ones.
• Report to clients in plain language: what we spent, what we got, what we are doing next.

What we need:

• 3-5 years running paid media with real budget responsibility, not a reporting or support seat.
• Evidence of scaling. One brand or account you took from X to Y in monthly spend without the economics breaking. Bring the numbers.
• A working understanding of how these platforms actually decide: smart bidding and the learning phase, auction dynamics and signal quality, why Performance Max and Advantage+ behave the way they do, and when to stop fighting the algorithm and feed it better inputs instead.
• Familiarity with MCP-based workflows - connecting an AI assistant to ad platform, GA4 or spreadsheet data to automate reporting and analysis. If you built something like this to save your own time, tell us about it in your application. It matters more to us than any certification.
• Comfort with numbers: blended versus platform ROAS, contribution margin, incrementality, and why the platform's attribution and the client's Shopify dashboard will never agree.
• You debug before you elevate. Given a sudden drop and no obvious cause, you check tracking, change history, auction data, creative fatigue, and seasonality in a sensible order, and you can say what you ruled out.

Nice to have

• D2C or e-commerce experience.
• SQL, Looker Studio, or Apps Script for reporting.
• Experience juggling several accounts at once, and the judgement to prioritize between them.