Performance Marketer — Paid + Analytics
Role Overview
You've been running paid campaigns — Meta, Google, maybe LinkedIn or TikTok — for a while. You've watched the platforms swallow more and more of the work: automated bidding, Advantage+, Performance Max. At first it felt threatening; now you understand it for what it is. The algorithms handle the mechanics. Your job is to feed them the right inputs (audiences, creative, signals, offers) and read what they tell you back.
You've also figured out that analytics and attribution are now the leverage points. Anyone can launch a campaign. Very few people can tell you honestly whether it's working.
As our products scale, paid will matter — but only if we can measure it honestly and iterate fast. We don't want someone who "runs ads." We want someone who owns paid as a real growth channel and who can tie it back to actual business outcomes.
You'll own paid across channels, own the analytics layer, and partner closely with design and content on the creative that feeds it.
Key Responsibilities
Own paid channels end-to-end: strategy, budgets, targeting, creative briefs, optimization, reporting
Run the creative testing engine — direct AI for variant production, work with the designer on concepts that matter, kill what doesn't work
Own the analytics and attribution setup — what we track, how we track it, what we trust, what we don't
Build the reporting that tells the team (and the founder) what's actually happening, not what looks good on a slide
Work on landing pages and conversion rate optimization with the Head of Growth and designer
Partner with Content and Community on lifecycle + retargeting flows
Keep a running view of unit economics — CAC, payback, LTV — and flag when things shift
Requirements
1–3+ years running paid campaigns with real budget responsibility (even small budgets count if you owned the results)
Comfortable with numbers and analytics — GA4, Meta Ads Manager, spreadsheets, basic SQL is a bonus but not required
You've already started using AI for creative variants, ad copy, audience research, or analytics — and you can show us how
You treat reporting as a thinking exercise, not a checkbox — you'd rather show one honest insight than ten pretty charts
You understand that creative is the biggest lever in paid today — and you know how to judge whether an ad is any good
You're curious about what's changing in measurement (iOS changes, cookie deprecation, server-side tracking, incrementality testing)
Nice to Have
Experience with Meta and Google Ads at scale
Background in analytics or data — SQL, GA4, Mixpanel, Amplitude
Understanding of conversion rate optimization
Experience with AI-generated creative at scale
Familiarity with attribution challenges in a post-cookie world
Success Metrics
Paid channels are profitable and scaling — CAC, ROAS, and payback are tracked and improving
Creative testing is running continuously with clear learnings
Analytics and attribution are set up honestly — the team trusts the numbers
Reporting tells the story, not just the stats
Unit economics are visible and flagged early when they shift
Landing page conversion rates are improving through testing
How to Apply
Skip cover letters. Send us these three things — they're what we actually read:
A short write-up of a campaign you ran — budget, setup, what you tested, what you learned, what the outcome was. If it flopped, tell us what you'd do differently.
One concrete example of how you've used AI in paid or analytics work. Which tool, what setup, what outcome.
Your CV or LinkedIn.
Why Join Xponent
Own paid and analytics across a portfolio of products, not a single ad account
Work with a designer and content team who understand creative matters
AI-native workflow — use AI for variants, research, and reporting at scale
Direct access to the Head of Growth and founder
A small, sharp in-office team in Chattogram