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HomeCompaniesVersant3Experimentation Manager, CNBC & MS NOW

Experimentation Manager, CNBC & MS NOW

Versant3 · New York, NY, United States · Hybrid · Active · $110,000–$130,000 / week · SmartRecruiters

Job facts

FieldValue
CompanyVersant3
TitleExperimentation Manager, CNBC & MS NOW
Normalized title-
Department / teamResearch
LocationNew York, NY, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$110,000–$130,000 / week
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-06-12 / 2026-06-13
Changed / last seen2026-06-13 / 2026-06-18

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Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Research.Open
Work model jobsActive Hybrid postings.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyVersant3
Sourcefc58d21b-3a5c-42e0-b325-85a01ef1c8e1
ATS providerSmartRecruiters

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. 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  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) 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.

Full job record

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Board IDfc58d21b-3a5c-42e0-b325-85a01ef1c8e1
Providersmartrecruiters
Provider Job Key744000131973340
TitleExperimentation Manager, CNBC & MS NOW
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY, United States
DepartmentResearch
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York
Salary RawVERSANT (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. 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  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) 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.
Salary Min110,000
Salary Max130,000
Salary CurrencyUSD
Salary Periodweek
Source URLhttps://jobs.smartrecruiters.com/Versant3/744000131973340-experimentation-manager-cnbc-ms-now
Apply URLhttps://jobs.smartrecruiters.com/Versant3/744000131973340-experimentation-manager-cnbc-ms-now?oga=true
First Seen At2026-06-13 11:12:26Z
Last Seen At2026-06-18 11:01:04Z
Last Checked At2026-06-18 11:01:04Z
Last Changed At2026-06-13 11:12:26Z
Inactive At
Source Posted At2026-06-12 18:55:17Z
Source Updated At
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    },
    {
      "fieldId": "691252ab19c902fd7a467eee",
      "valueId": "900 Sylvan Avenue",
      "fieldLabel": "Work Location Address",
      "valueLabel": "900 Sylvan Avenue"
    },
    {
      "fieldId": "691252ab19c902fd7a467eed",
      "valueId": "4817a4cf-95d5-4d6d-8483-4e66c2a2bcfe",
      "fieldLabel": "Addition/Replacement",
      "valueLabel": "Addition"
    },
    {
      "fieldId": "6911f2ee4aaf0bb824b88d91",
      "valueId": "77fc3e32-f8ef-45fb-96d4-426cdf79a499",
      "fieldLabel": "Brands",
      "valueLabel": "Versant Media"
    },
    {
      "fieldId": "691252aecec7560b19a91bb3",
      "valueId": "9872fe69-b0c8-4155-8dff-aac9912ca020",
      "fieldLabel": "Hire Type",
      "valueLabel": "Full-Time Regular"
    },
    {
      "fieldId": "691252acd59f5f325be1dc78",
      "valueId": "30016996",
      "fieldLabel": "SAP Job",
      "valueLabel": "Mgr,Data Analytics - 30016996"
    },
    {
      "fieldId": "691252aed59f5f325be1dc7a",
      "valueId": "60000118",
      "fieldLabel": "Business Segment",
      "valueLabel": "Versant Revenue & Digital"
    },
    {
      "fieldId": "691252ae0cb805625d979182",
      "fieldLabel": "Position Title",
      "valueLabel": "Manager, Experimentation"
    }
  ],
  "defaultJobAd": false,
  "releasedDate": "2026-06-12T18:55:17.140Z",
  "detail_errors": [],
  "experienceLevel": {
    "id": "mid_senior_level",
    "label": "Mid-Senior Level"
  },
  "typeOfEmployment": {
    "id": "permanent",
    "label": "Full-time"
  }
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/a21c6bd6f9ecd35636d5465bf8cc91a6582b5681?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/45ad32ba-24d6-4e84-ad10-a1cdb64fabcaJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/fc58d21b-3a5c-42e0-b325-85a01ef1c8e1JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/a21c6bd6f9ecd35636d5465bf8cc91a6582b5681/eventsJSON