Performance Marketing Manager

Because Market•United States, CA

14d•Remote

About The Position

Own paid acquisition across Meta, Google, and emerging channels. Report directly to the CEO. This is a hands-on IC role with one defining twist: we’ve built an internal AI automation stack (Claude, MCP integrations across Polar Analytics, Amazon Ads, Meta, Shopify, Klaviyo, Loop, Ramp, Sonar), and your job is to use it to operate at 10x the output of a traditional performance marketer. If your instinct is to do everything manually in Ads Manager and spreadsheets, this isn’t the role. If your instinct is “how do I automate this, let the AI draft the first pass, and free my time for the decisions that actually matter” – we want to talk.

Requirements

3–5 years of hands-on paid acquisition experience, primarily Meta, at a DTC or subscription e-commerce business
Strong quantitative foundation – comfortable with SQL, spreadsheets, basic stats, and LTV/CAC math
Track record of scaling spend profitably ($1M+/month budgets)
Demonstrated ability to run structured tests and act on results
Experience with subscription economics (cohort retention, churn, LTV)
Active, fluent user of Claude, ChatGPT, or Cursor for daily work – can show concrete examples of how AI has changed how you operate

Nice To Haves

Technical background (CS, engineering, applied math, or equivalent self-taught)
Experience building custom reporting or automation: Python, APIs, MCP servers, Zapier/Make, no-code tools
Google Ads fluency (search, PMax)
Has built or contributed to internal tooling, dashboards, or agents
Exposure to Amazon Ads or retail media
Experience with creative testing at high volume
Background at a high-growth consumer brand

Responsibilities

Meta (primary): Campaign structure, budget allocation, audience strategy, creative testing cadence, bidding. Target: scale volume while holding CAC within plan.
Google (secondary): Search, Shopping, PMax, YouTube. Protect brand, expand non-brand efficiently.
Emerging channels: Evaluate and test TikTok, Applovin, CTV, podcast, and others as warranted.
Measurement: Incrementality testing, geo-lift, conversion lift, brand lift studies, MMM inputs, attribution sanity checks. We don’t trust platform-reported numbers at face value.
Creative ops: Partner with creative team to hit 100–150 new ads/month. You set the testing framework and call what wins.
AI leverage: Extend our internal stack. Build agents, workflows, and reporting automations (leveraging Claude, n8n, Cursor, Perplexity) that compress what takes other marketers hours into minutes. Claude is a teammate, not a tool.
Reporting: Weekly performance reviews with CEO. Clear, quantitative, decision-ready.