Engineering Manager, Data Science

Openai - San Francisco, CA

Full-time - Senior

Hybrid - San Francisco, CA

Professional, Scientific, and Technical Services

About the position

The Engineering Manager, Data Science role at OpenAI involves leading the Sales and Customer Support Data Team within the Go-To-Market (GTM) organization. The position focuses on fostering a data-driven culture that enhances insight generation, decision-making, and strategic planning. The manager will collaborate with cross-functional teams to ensure that data informs all decisions related to sales-led initiatives, ultimately driving business growth and improving customer engagement.

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 for new employees
• Hybrid work model of 3 days in the office per week