About the position
You will lead the Sales and Customer Support Data Team within OpenAI’s Go-To-Market (GTM) organization, playing a pivotal role in building a data-driven culture around insight generation, decision making, and strategic planning. You’ll work closely with cross-functional teams to ensure data informs every decision we make in serving a wide range of customers through sales-led initiatives. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
Responsibilities
- Lead and mentor a team of data scientists, fostering a collaborative, high-performance environment.
- Embed with the Sales and Customer Support teams as a trusted partner, uncovering new ways to improve the business and drive growth.
- Oversee and manage cross-functional data science projects focused on revenue, pricing, usage, customer engagement, and other topics central to the Go to Market organization.
- Drive a data-driven culture by defining, tracking, and operationalizing critical metrics and establishing source-of-truth dashboards and performance reporting for GTM.
- Develop deep expertise in OpenAI’s data and systems, working closely with Data Engineering, Finance, and other business teams to access and integrate underlying data, generating actionable insights.
- Lead the development and socialization of dashboards, reports, and other data tools, empowering GTM teams to answer data questions independently.
- Collaborate with data science peers across the organization to share knowledge and continuously improve data practices.
Requirements
- 12+ years in data science, with 5+ years managing data science or analytics teams within GTM functions like Sales or Customer Support.
- Ability to translate complex business questions into actionable frameworks and analyses that drive decision-making.
- Skilled at conveying complex ideas to both technical and non-technical stakeholders, building alignment across teams.
- Proven track record of addressing challenges in Sales, Support, Finance, or other GTM areas through data insights and strategic analysis.
- Experience leading a team of senior individual contributors while also being hands-on and independently driving analyses when needed.
- Expertise in statistics and causal inference, with experience in both experimentation and observational causal studies.
- Advanced proficiency in SQL, quantitative programming languages like Python or R, and business intelligence tools such as Mode, Tableau, or Looker.
- Unwavering commitment to accuracy, ensuring the highest standards in data integrity and insight quality.
Benefits
- Relocation assistance to new employees.
- Hybrid work model of 3 days in the office per week.
