Negotiable
Undetermined
Remote
Remote
Summary: The Senior Product Manager role focuses on leading product management efforts with a strong emphasis on experimentation and data-driven development. The position requires extensive experience with enterprise-scale experimentation platforms and methodologies. Candidates should be adept at translating experimental findings into actionable insights and collaborating with cross-functional teams. This is a remote position based in the USA.
Key Responsibilities:
- Lead product management initiatives with a focus on experimentation and data-driven development.
- Utilize enterprise-scale experimentation platforms to drive product decisions.
- Conduct in-depth analysis of experiments and translate findings into business insights.
- Build and scale experimentation frameworks and governance models.
- Collaborate effectively with engineering, AI/ML, analytics, and product teams.
Key Skills:
- 5+ years of experience in Product Management, Experimentation/Testing, and data-driven product development.
- Strong expertise with enterprise-scale experimentation platforms such as Adobe Target, Optimizely, and StatSig.
- Deep understanding of advanced experimentation methodologies including A/B Testing, Multivariate Testing, Holdout Testing, and Sequential Testing.
- Strong knowledge of statistical significance, sample sizing, bias analysis, and variance analysis.
- Ability to perform in-depth experiment analysis and translate findings into actionable business insights.
- Experience building or scaling experimentation frameworks, governance models, and best practices.
- Proven ability to collaborate effectively with engineering, AI/ML, analytics, and product teams.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Job Description (JD)
Position: Senior Product Manager
Location: Remote (USA)
Key Skills & Experience Required
5+ years of experience in Product Management, Experimentation/Testing, and data-driven product development.
Strong expertise with enterprise-scale experimentation platforms, including:
Adobe Target
Optimizely
StatSig
Similar experimentation platforms
Deep understanding of advanced experimentation methodologies, including:
A/B Testing
Multivariate Testing
Holdout Testing
Sequential Testing
Strong knowledge of:
Statistical significance
Sample sizing
Bias analysis
Variance analysis
Ability to perform in-depth experiment analysis and translate findings into actionable business insights.
Experience building or scaling experimentation frameworks, governance models, and best practices.
Proven ability to collaborate effectively with:
Engineering teams
AI/ML teams
Analytics teams
Product teams
Preferred Background
Candidates with experience at leading technology companies or large-scale retail/eCommerce organizations are highly preferred, including:
Google
Apple
Amazon
Meta
Netflix
Other large-scale retail/eCommerce organizations