Decision Science Manager

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. Manage and coach a team of decision scientists supporting the Enterprise area .

Posted 10/22/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $177,500 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in decision science, analytics, and data-driven strategies to influence business outcomes. Proven ability to lead teams, manage performance, and communicate complex quantitative findings effectively to diverse stakeholders.

Highest-signal resume keywords

Data Science ExperiencePeople ManagementQuantitative AnalysisBusiness AcumenCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

A/B TestingCausal Inference MethodsQuantitative AnalysisPerformance MeasurementData AnalysisStatistical MethodsAnalytical PrioritizationDecision ScienceData Tooling StandardsMethodological Rigor

Soft Skills

CoachingTeam LeadershipInfluencingTrust BuildingPresentation Skills

Certifications & Qualifications

Bachelor's Degree in Quantitative Field

Industry Keywords

Enterprise SaaSCustomer SuccessSalesGTMRev OpsPerformance MarketingChurn AnalysisB2BHR TechATS Ecosystems

About the role

Key responsibilities & impact

Manage and coach a team of decision scientists supporting the Enterprise area
Review and coach team work; own performance and career development conversations
Set expectations, prioritize concurrent projects, align team capacity with Enterprise and company goals, and improve team efficiency
Set standards for Data and AI tooling and methodological rigor
Personally lead strategic analyses in the Enterprise space
Own the decision science agenda for Enterprise and set analytical priorities
Evaluate Sales, GTM, and Customer Success initiatives using appropriate quantitative and qualitative methods
Serve as a trusted Decision Science partner to Enterprise Product, Engineering, Rev Ops, Sales/GTM leadership, and Customer Success
Influence cross-functional direction and prioritization
Translate complex quantitative findings into clear, actionable recommendations for technical, non-technical, and senior stakeholders

Requirements

What you’ll need

Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, operations research, economics, or equivalent experience
6+ years of analytics or data science experience in a product/engineering/tech environment
1+ years of people management experience, including direct responsibility for performance management and career development
Demonstrated ability to lead data work on important business initiatives while earning the trust of cross-functional and business stakeholders
Experience measuring impact with both A/B tests and quasi-experimental or causal inference methods, including difference-in-differences, synthetic control, and matching
Sound judgment in low-data situations, combining limited quantitative evidence with qualitative signals to reach well-reasoned recommendations
Strong business acumen and ability to connect data analysis to measurable business outcomes
Excellent communication and presentation skills, with experience synthesizing complex findings for technical and non-technical audiences
Preferred: performance marketing campaign measurement and optimization
Preferred: customer retention, churn, and expansion analysis in a B2B or enterprise SaaS business
Preferred: partnering with Sales, GTM, Rev Ops, or Customer Success teams
Preferred: small-sample or account-level data experience
Preferred: recruiting, HR tech, ATS ecosystems, or two-sided marketplaces familiarity

Benefits

Comp & perks

Competitive salary
Exceptional benefits package
Flexible Vacation & Paid Time Off
Employer-matched 401(k) plan
Full range of medical, financial, and other benefits
Equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package