Engineering Manager, Data Science

About the Role

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.

In this role, you will:

• 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.

You might thrive in this role if you are/have:

• Leadership experience: 12+ years in data science, with 5+ years managing data science or analytics teams within GTM functions like Sales or Customer Support.

• Strategic thinker: Able to translate complex business questions into actionable frameworks and analyses that drive decision-making.

• Effective communicator: Skilled at conveying complex ideas to both technical and non-technical stakeholders, building alignment across teams.

• Problem-solver: Proven track record of addressing challenges in Sales, Support, Finance, or other GTM areas through data insights and strategic analysis.

• Player coach: You excel at leading a team of senior individual contributors while also being hands-on and independently driving analyses when needed.

• Strong statistical background: Expertise in statistics and causal inference, with experience in both experimentation and observational causal studies.

• Technical skills: Advanced proficiency in SQL, quantitative programming languages like Python or R, and business intelligence tools such as Mode, Tableau, or Looker.

• Detail-oriented: Unwavering commitment to accuracy, ensuring the highest standards in data integrity and insight quality.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.