Decision Science Manager

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee and mentor a team of decision scientists dedicated to supporting the Enterprise sector.

• Evaluate and guide team performance; manage conversations regarding performance and career development.

• Establish expectations, prioritize simultaneous projects, align team capacity with Enterprise and corporate objectives, and enhance team productivity.

• Define standards for Data and AI tools and maintain methodological integrity.

• Lead strategic analyses within the Enterprise domain personally.

• Own the decision science strategy for Enterprise and establish analytical priorities.

• Assess Sales, GTM, and Customer Success initiatives using suitable quantitative and qualitative approaches.

• Act as a reliable Decision Science partner to Enterprise Product, Engineering, Rev Ops, Sales/GTM leadership, and Customer Success.

• Influence cross-functional strategies and priorities.

• Convert intricate quantitative insights into straightforward, actionable recommendations for both technical and non-technical senior stakeholders.

⛳️ Requirements

• Bachelor's degree in a quantitative discipline such as mathematics, statistics, computer science, operations research, economics, or equivalent experience.

• 6+ years of experience in analytics or data science within a product/engineering/technology setting.

• At least 1 year of experience in people management, with direct accountability for performance management and career development.

• Proven track record of leading data initiatives on significant business projects while gaining the trust of cross-functional and business stakeholders.

• Experience in measuring impact through both A/B testing and quasi-experimental or causal inference methods, including difference-in-differences, synthetic control, and matching techniques.

• Sound judgment in situations with limited data, integrating scarce quantitative evidence with qualitative signals to formulate well-reasoned recommendations.

• Strong business acumen with the ability to link data analysis to quantifiable business results.

• Excellent communication and presentation abilities, with experience in distilling complex findings for both technical and non-technical audiences.

• Preferred: experience in performance marketing campaign measurement and optimization.

• Preferred: analysis related to customer retention, churn, and expansion within a B2B or enterprise SaaS environment.

• Preferred: collaboration with Sales, GTM, Rev Ops, or Customer Success teams.

• Preferred: experience with small-sample or account-level data.

• Preferred: familiarity with recruiting, HR tech, ATS ecosystems, or two-sided marketplaces.

🏝️ Benefits

• Competitive salary.

• Comprehensive benefits package.

• Flexible vacation and paid time off.

• Employer-matched 401(k) plan.

• Full spectrum of medical, financial, and additional benefits.

• Equity, bonuses, commissions, or other forms of compensation may also be included in the overall compensation package.