Found

Found

Growth Marketing Lead

San Francisco, New York or Remote (USA)

Sponsorship not specified$170k-$230kDetected 85 days ago
Data VisualizationGoogle AdsGoogle AnalyticsGrowth MarketingPerformance MarketingAccountingPerformance ManagementCollaboration

About the role

  • This isn't a "set it and schedule it" role.
  • You'll be the person who sees the data, forms a hypothesis, tests it, and knows what to do next.
  • Your mission is to ensure every dollar we spend brings in the right customer: the self-employed owner who will activate, engage, and grow with Found.

Responsibilities

  • Search, Social, CTV, and emerging channels and work closely with creative, product marketing, and data to build a paid program that's both efficient and brand-aligned.
  • Manage budget allocation across channels to hit CPA, CAC, and activation targets.
  • Build, launch, and iterate on campaigns with a bias toward testing creative, audience, bidding strategy, landing page, and offer.
  • Partner with the creative team to brief, evaluate, and iterate on ad assets; use performance data to guide creative decisions (not just aesthetic ones).
  • Lead audience strategy, including prospecting, lookalike, retargeting, and suppression logic across platforms.
  • As our Growth Marketing Lead for Paid Channels, you will own the strategy and day-to-day execution of Found's paid acquisition engine.
  • You'll manage across all paid media: Search, Social, CTV, and emerging channels and work closely with creative, product marketing, and data to build a paid program that's both efficient and brand-aligned.
  • Own strategy, execution, and optimization across all paid channels: Google/Bing Search, Meta, Reddit, TikTok, CTV/Streaming, Display.
  • Own paid channel reporting: weekly performance reviews, monthly channel recaps, and ongoing anomaly detection.
  • Develop a test-and-learn roadmap; document results and share learnings across the team.

Requirements

  • Proficiency in Google Analytics, Looker, or a comparable BI tool required.

Nice to have

  • You don't just read the numbers.
  • You understand why one ad outperforms another and can brief creative accordingly.
  • Experience collaborating with a creative team is a plus.
  • You understand attribution models, incrementality testing, and the limitations of last-click data.
  • You've worked with or built MMM or geo-lift frameworks is a plus.
  • (Preferred) Familiarity with compliance constraints in regulated industries.
  • You know what "UDAAP" means and have worked within guardrails.
  • Creative Intuition: You don't just read the numbers.

Skills

  • taxes, accounting, bookkeeping, and banking are just a few.

Compensation

  • The anticipated salary range for this role is $170,000 - $230,000.
  • The salary range listed represents the low and high end of the anticipated salary range for this position across all US locations.
  • Within the range, individual pay is determined by several factors including job-related skills, experience, and relevant education or training.
  • Our competitive base salary is just a piece of Found's total compensation package.

Benefits

  • We offer all employees access to tax-efficient benefit options alongside competitive base compensation.
  • Comprehensive medical, dental, and vision benefits and are always 100% covered for employees, 90% covered for dependents.
  • Paid parental leave: Found supports employees through all stages of life, which is why new parents employed by Found qualify for 16 weeks of flexible parental leave.
  • Meaningful equity: Everyone on our team should feel and act like an owner, which is why Found offers industry-competitive equity to all of our employees.
  • Generous vacation policy: Vacations, appointments, mental health days- take the time you need.
  • To learn more about our benefits or the team please go to found.com/careers.
  • Manage and improve tracking infrastructure in partnership with engineering, UTMs, pixel health, event-level data quality.

This listing is sourced directly from Found's careers page and normalized into a canonical job model.