Experimentation Manager, CNBC & MS NOW at Versant

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

130000.0

Posted On

13 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

A/B Testing, Statistical Analysis, Hypothesis Testing, Causal Inference, SQL, Python, R, Product Analytics, Experimental Design, Data Visualization, Cross-functional Collaboration, Strategic Planning

Industry

Marketing Services

Description

Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description About the Role We’re looking for a strategic and data-driven Manager, Experimentation to lead and scale our A/B testing practice across brands, driving more rigorous, insight-led decision making. This role will own the experimentation roadmap, designing high-impact tests and ensuring a cohesive testing strategy where learnings build over time. You’ll 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. By maintaining a centralized view of all experimentation and a robust learning library, you’ll help the organization avoid conflicting tests, accelerate insight generation, and translate results into clear, actionable recommendations that drive growth and performance. Key Responsibilities Define and prioritize a portfolio of high-impact tests aligned to business goals across product, editorial, marketing, and growth Partner with cross-functional teams to translate business questions into clear, testable hypotheses Design experiments end-to-end, including success metrics, test structure, segmentation, and measurement approach Create a structured repository of experiment results, insights, and recommendations Synthesize findings across tests to identify broader patterns and opportunities Establish best practices for experiment design, execution, and analysis Collaborate with analytics, product, editorial, marketing, and engineering teams to embed experimentation into key workflows Qualifications 5+ years of experience in experimentation, product analytics, or a related quantitative field Strong foundation in statistics, including hypothesis testing, experimental design, and causal inference Hands-on experience designing and analyzing A/B tests, ideally using tools such as Amplitude or similar experimentation platforms Proven ability to translate business problems into structured experiments and actionable insights Expertise in languages such as SQL, Python/R and 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 Strong communication skills, with the ability to clearly explain methodology, results, and trade-offs to both technical and non-technical stakeholders Ability to manage multiple concurrent experiments and prioritize effectively in a fast-paced environment Passion for building scalable processes and fostering a culture of experimentation Additional Information: Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $110,000 - $130,000 (bonus eligible) Additional Information As part of our selection process, 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. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected]. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means. Business Segment: Versant Revenue & Digital

Responsibilities

Lead and scale the A/B testing practice across brands to drive data-driven decision making and growth. Own the experimentation roadmap, design high-impact tests, and maintain a centralized learning library of results.