Senior Manager Data Science, Revenue & Growth
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Manager Data Science, Revenue & Growth (Data Science/ML): Owns the quantitative backbone of 's revenue and financial data, and accelerates growth on our self-serve SMB business with an accent on data science and experimentation. Focus on building and running the team that nails and captures it.
Location: Must be based in San Francisco; comfortable with a hybrid in-office schedule (3 days/week)
Salary: $268,000 - $315,000 USD
Company
is building the data platform to power safe and fair decisions.
What you will do
- Build and run a high-performing team of data scientists and analysts across Revenue and Growth.
- Drive the roadmap for financial data science: revenue forecasting models, cost and billing data products, reconciliation pipelines, and Exec dashboards.
- Lead the PLG data science push: experimentation, activation, and conversion analytics, package and pricing optimization.
- Partner with Finance and Growth leadership to translate complex modeling work into clear recommendations.
- Automate analytical pipelines and build agentic workflows for recurring analyses using AI.
- Set and enforce standards for modeling rigor, data quality, pipeline reliability, and production-readiness.
Requirements
- A Bachelor's or Master's degree in a quantitative field.
- 10+ years in data science, analytics, or quantitative roles.
- 3+ years of direct people management experience.
- Deep SQL and Python fluency; hands-on experience with modern ELT/data transformation tools.
- Comfort with and enthusiasm for AI-assisted workflows.
- Track record of building and executing a multi-quarter roadmap for a data science function.
- Strong executive communication skills.
- Experience applying data science to revenue, growth, or financial problems in B2B SaaS or a high-growth startup environment.
- Based in San Francisco; comfortable with a hybrid in-office schedule (3 days/week)
- An A-player mindset with a strong bias for action.
Culture & Benefits
- A fast-paced, low-bureaucracy environment.
- Direct exposure to executive and C-level decision-making.
- A leadership seat on the Data & ML team shaping 's AI strategy.
- Learning and development allowance.
- Competitive cash and equity compensation and opportunity for advancement.
- Flexible PTO policy.
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