VERSANT

news, sports and entertainment

Manager,Experimentation

$110–130k New York, New York, United States FULL TIME
The Brief

“Manager, Experimentation at VERSANT. Skills: Experimentation, A/B testing, statistical rigor, hypothesis testing, experimental design, causal inference, SQL, Python, R. lead and scale our A/B testing practice across brands. drive more rigorous, insight-led decision making”

What You'll Achieve.

driving more rigorous, insight-led decision making; drive growth and performance

Industry & Context.

news, sports and entertainment
Problems you'll solve

translate business problems into structured experiments and actionable insights

Eligibility Requirements

external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision.

What They're Looking For.

Must Have

5+ years of experience in experimentation, product analytics, or a related quantitative field, foundation in statistics, including hypothesis testing, experimental design, and causal inference, Hands-on experience designing and analyzing A tests, Proven ability to translate business problems into structured experiments and actionable insights, Expertise in languages such as SQL, Python/R, experience with tools such as Databricks/Snowflake, Adobe/Google Analytics, Amplitude, Tableau/Looker/Omni, and experimentation platforms, Experience working cross-functionally with product, marketing, editorial, and engineering teams, Ability to manage multiple concurrent experiments and prioritize effectively in a fast-paced environment

Nice to Have

using tools such as Amplitude or similar experimentation platforms, Passion for building scalable processes and fostering a culture of experimentation

What You'll Do.

lead and scale our A/B testing practice across brands

insight-led decision making

own the experimentation roadmap

designing high-impact tests

ensuring a cohesive testing strategy where learnings build over time

structure experiments with statistical rigor

ensure tests are executed and interpreted correctly

maintaining a centralized view of all experimentation and a robust learning library

avoid conflicting tests

accelerate insight generation

translate results into clear

actionable recommendations that drive growth and performance

Define and prioritize a portfolio of high-impact tests aligned to business goals across product

Create a structured repository of experiment results

Synthesize findings across tests to identify broader patterns and opportunities

Establish best practices for experiment design

Collaborate with analytics

and engineering teams to embed experimentation into key workflows

How You'll Work.

Team & Collaboration

Partner closely with analytics, product, editorial, marketing, and engineering teams to define hypotheses, structure experiments with statistical rigor, and ensure tests are executed and interpreted correctly.; Collaborate with analytics, product, editorial, marketing, and engineering teams to embed experimentation into key workflows

Communication Scope

communication skills; ability to clearly explain methodology, results, and trade-offs to both technical and non-technical stakeholders

Process & Methodology

manage multiple concurrent experiments, prioritize effectively

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