Analytics Engineer, GTM

Details

About the role

As an early member of the Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. You will work on projects to develop canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. You should expect to be a core member of the GTM team, helping to bring our technology to customers and supporting both self-serve and sales-led motions.

This role is based in San Francisco, CA and uses a hybrid work model (3 days in office per week). Relocation assistance is offered for new employees.

Responsibilities

• Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions.
• Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics.
• Manage cross-functional data projects related to revenue, pricing, sales, product, marketing, growth, and other GTM topics.
• Create scalable pipelines for data collection, cleaning, and analysis from multiple sources; manage lifecycle of metrics and models from prototyping to production.
• Develop and refine tools such as dashboards and reports that empower teams to extract and analyze data independently.
• Conduct analyses to uncover insights and inform key decisions.
• Communicate complex data insights clearly and persuasively using presentations, memos, and tools across the organization.

Requirements

• Over 10 years of experience in a relevant data role within dynamic, outcome-driven organizations.
• Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.
• Proficient in quantitative programming languages (Python preferred).
• Experienced with business intelligence tools such as Tableau and Looker to communicate insights and enable self-serve.
• Familiar with advanced custom visualizations (examples cited: Streamlit and Plotly Dash).
• Experience building scalable data pipelines, data cleaning, and managing production metrics/models.
• Strong ability to craft clear data stories (decks, memos, dashboards) to drive decision-making at all levels.
• Exceptional attention to detail and commitment to accuracy.
• Demonstrated ability to build effective partnerships across diverse teams and influence decision-making with data.
• Proven track record delivering significant business impact; experience in Sales, Marketing, Finance, Growth, Support, or other GTM areas is preferred.

Benefits & Compensation

• Base salary range: $270,000 - $340,000 (USD). Offers equity; total comp may include performance-related bonuses and other components.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts (Health FSA, Dependent Care FSA) and commuter benefits.
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks birth parents; up to 20 weeks non-birthing parents) and paid medical/caregiver leave.
• Paid time off: flexible PTO for exempt employees; up to 15 days annually for non-exempt employees.
• 13+ paid company holidays and coordinated office closures; paid sick or safe time per applicable laws.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees and additional taxable fringe benefits (charitable donation matching, wellness stipends).

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 AI capabilities and seek to safely deploy them through our products. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.