Manager, Experimentation

Lawrence Harvey

$110K — $130K *
Media
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in experimentation or product analytics.
  • Strong grasp of hypothesis testing and experimental design principles.
  • Hands-on experience with experimentation tools like Amplitude.
  • Proficient in SQL, with familiarity in Python or R.
  • Experience with analytics platforms like Snowflake or Tableau.
  • Excellent communication skills for stakeholder management.

Responsibilities

  • Own and prioritize the experimentation roadmap for various initiatives.
  • Design and execute A/B and multivariate tests from start to finish.
  • Translate complex business questions into clear testing frameworks.
  • Identify trends and insights from multiple tests simultaneously.
  • Develop best practices for scalable experimentation processes.
  • Present analytical findings to both technical and business audiences.

Benefits

  • Hybrid work model with at least 3 days onsite.
  • Opportunity to shape data-driven strategies.
  • Influence decision-making for large-scale consumer platforms.
Full Job Description
Experimentation Analytics Manager (IC)

Location: NYC or NJ (Hybrid)

Work Model: Hybrid (minimum 3 days onsite)

Salary: $110,000-$130,000 + Bonus

This position is not open for C2C and sponsorship is not available now or in the future.
Key Responsibilities
  • Own and prioritize the experimentation roadmap across product, growth, and marketing initiatives.
  • Design, execute, and analyze A/B and multivariate tests end-to-end.
  • Translate business questions into measurable hypotheses and experimentation frameworks.
  • Identify trends and actionable insights across multiple concurrent tests.
  • Build scalable experimentation best practices and governance processes.
  • Present findings and recommendations to technical and business stakeholders.
Qualifications
  • 5+ years of experience in experimentation, product analytics, or related quantitative fields.
  • Strong understanding of hypothesis testing, experimental design, and causal inference.
  • Hands-on experience with experimentation platforms such as Amplitude or similar tools.
  • Strong SQL skills plus experience with Python or R.
  • Experience with tools such as Snowflake, Databricks, Adobe Analytics, Google Analytics, Tableau, Looker, or Omni.
  • Strong communication and cross-functional stakeholder management skills.

This is a highly visible opportunity to help shape experimentation strategy and influence data-driven decision-making across large-scale consumer platforms.

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