Head of Performance Marketing

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Ideal experience:

  • 3–6 years of experience in a role where analytical thinking and technical execution were the primary job — this could be performance marketing, growth analytics, marketing engineering, data science applied to growth, or quantitative finance that crossed into marketing.

  • Has owned a paid program end-to-end — built the tracking, set up the campaigns, analyzed the results, and made the optimization calls — even if the program was small or early-stage.

  • Demonstrably fast learner on technical tools — can point to a platform, system, or skill they didn't know and ramped on quickly; platform fluency is less important than the ability to develop it.

  • Proficient with SQL and comfortable in analytics tools — pulls their own data, builds their own models, doesn't wait for a data team to tell them what's happening.

  • Has a structured approach to testing — knows how to design an experiment, define success criteria upfront, and avoid drawing conclusions from underpowered tests.

  • Consumer-facing background preferred; comfort with high-consideration, trust-intensive categories (legal, financial, healthcare) is a plus.

What You'll Own: Manifest Law is acquiring tens of thousands of immigration clients through a multi-channel B2C growth engine — and paid is our biggest untapped lever. We've validated that paid social works for our business. What we don't have yet is the technical depth to run it with precision: the audience architecture, the attribution infrastructure, the testing rigor, and the analytical sophistication to turn a working channel into a scalable, predictable acquisition machine. That's what this role is. You will build our paid program from zero — not by managing a media buy, but by engineering an audience and testing system that identifies the highest-value immigration prospects across our core demographic markets (Chinese, Brazilian, Colombian, Russian) and delivers the right message to the right person at the right cost. This is a technical builder role, not a campaign manager role. You'll Own:

  • Build and own the full paid acquisition program across Meta, TikTok, YouTube, and Google — from audience architecture to creative testing to budget allocation.

  • Engineer our audience strategy from the ground up: first-party data segmentation, lookalike modeling, behavioral targeting, and demographic audience builds for our core immigrant communities.

  • Design and run a rigorous testing program — creative tests, audience tests, landing page tests, bid strategy tests — with clear hypotheses, proper holdouts, and valid conclusions.

  • Own the attribution layer: set up and maintain accurate conversion tracking, build multi-touch attribution models, and be the single source of truth on paid channel performance.

  • Analyze campaign performance at the cohort level — CAC by audience segment, LTV by acquisition cohort, CPL by creative variant — and translate findings into actionable optimizations.

  • Partner with the GTM Engineer to build the data infrastructure that connects paid campaigns to CRM outcomes (not just platform-reported metrics).

  • Evaluate and manage our paid tech stack: bid management tools, creative analytics platforms, audience enrichment tools, and landing page optimization software.

The Technical Bar: This role requires genuine technical depth in paid channels. We are not looking for someone who manages campaigns inside platform UIs. We are looking for someone who:

  • Builds custom audience lists from first-party data, third-party enrichment, and behavioral signals — not just platform-native tools.

  • Understands the mechanics of Meta's auction, knows how to structure campaigns to avoid audience overlap, and can diagnose delivery issues at the ad set level.

  • Can write SQL to pull their own cohort data without waiting on a data analyst.

  • Has built or contributed to a multi-touch attribution model — understands the difference between last-click, data-driven, and incrementality-based attribution and when each is appropriate.