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Sr. Director​/Head of Growth, Legal

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: Internet Brands
Full Time position
Listed on 2026-03-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Internet Brands® is a vertically focused, AI-driven SaaS + media company with category-defining brands in legal, health, automotive, and home/travel. Our platforms reach more than 250 million monthly visitors and power mission-critical software for 50,000+ businesses worldwide. We thrive on data-informed decision making, relentless customer focus, and a culture that celebrates innovation and ownership.

The Role

We’re looking for a strategic, data-first leader to own and scale our omni‑channel growth engine. You’ll design the growth roadmap, build a rigorous experimentation program across web, mobile, email, paid and offline, and partner with product, engineering, analytics and marketing to drive measurable gains in acquisition, activation, retention and monetization. This is a hands‑on role that requires creativity, scrappiness and a bias to action—able to both lead strategy and roll up sleeves to test ideas quickly.

Key Responsibilities
  • Develop and own the omni-channel growth strategy and roadmap aligned to company objectives (consumer acquisition efficiency, conversion acceleration, revenue optimization).
  • Build, lead, and mentor a cross-functional team of experimenters, analysts, channel specialists.
  • Define and operationalize a repeatable experimentation framework: hypothesis generation, experiment design, sample sizing, instrumentation, analysis, and learnings capture.
  • Prioritize tests and initiatives; allocate resources across channels for maximum ROI.
  • Oversee execution of tests across channels: A/B and multivariate on web/mobile, email and CRM experiments, paid creative/landing page tests, push/SMS experiments, and offline pilots if applicable.
  • Ensure robust measurement and analytics: reliable events, tracking, guardrails, statistical rigor, and clear attribution models.
  • Partner with Product and Engineering to ship growth-focused features and identify product changes that materially move key metrics.
  • Work closely with key marketing partners to coordinate channel strategies (paid media, SEO, content, partnerships) and translate experiment learnings into scalable programs.
  • Translate results into scalable insights and playbooks; quantify business impact
  • Socialize learnings with stakeholders and leadership; present test plans, results and recommendations; evangelize the value of experimentation and data-driven decision making
  • Establish and track KPIs and dashboards (conversion funnels, CAC, experiment velocity/time to learn).
  • Manage vendor relationships if required (experimentation platforms, CDP, analytics tools, testing vendors) and budget for growth initiatives.
  • KPIs & Metrics to own:
  • Experiment velocity (tests per quarter), percent of experiments producing actionable learnings.
  • Conversions: traffic-to-lead and lead
    -to-case.
  • Acquisition cost: cost-per-lead and cost-per-case
  • Revenue: customer retention and ROAS
  • What success looks like (first 6–12 months):
  • A documented omni-channel growth strategy and prioritized test roadmap.
  • Experimentation framework and governance in place; increased experiment velocity and higher-quality analysis.
  • Measurable improvements in at least one core growth metric (CAC, lead volume, case conversion rate, revenue, and/or ROI).
  • Clear instrumentation and attribution for major funnels and key experiments.
  • Team structure and hires identified/executed to fill critical skill gaps.
Desired Experience & Skills
  • 10+ years of experience in growth, experimentation, or related roles; at least 4 years in senior/management roles. Looking for B2C experience.
  • Proven track record of running/scaling experimentation programs with measurable business impact.
  • Deep quantitative skills; comfortable reviewing analysis and challenging results.
  • Hands‑on familiarity with analytics and data tools (e.g., SQL, Big Query, GA4) and experimentation platforms (e.g., Optimizely).
  • Experience across multiple devices and channels (web, mobile, email/CRM, paid, affiliates, organic) and integrating learnings across them.
  • Strong product sense and UX understanding.
  • Experience partnering with product and engineering teams.
  • Excellent leadership skills: hiring, coaching, stakeholder management, and cross-functional influence.
  • Strong…
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