Analytics Engineer, GTM at OpenAI

San Francisco, California, United States

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$270,000 – $340,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

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 in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve
Familiar with advanced custom visualizations, such as streamlit and plotly dash
Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level
Best-in-class attention to detail and unwavering commitment to accuracy
Demonstrated ability to build effective partnerships across diverse teams and influence decision making with data
Proven track record of delivering significant business impact, with a solid track record in Sales, Marketing, Finance, Growth, Support, or other GTM-related areas preferred

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 about revenue, pricing, sales, product, marketing, growth, and other topics core to the business
Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production
Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently
Conduct analyses to uncover insights and inform key decisions
Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization

Skills

Key technologies and capabilities for this role

SQLPythonETLData PipelinesDashboardsData Analysis

Questions & Answers

Common questions about this position

What is the salary range for the Analytics Engineer role?

The salary range is $270K - $340K.

Is this role remote or based in an office?

This role is based in San Francisco, CA, with a hybrid work model requiring 3 days in the office per week. Relocation assistance is offered to new employees.

What key skills are required for this position?

Key skills include over 10 years of experience in a relevant Data role, high proficiency in SQL for ETL workflows, quantitative programming like Python, experience with BI tools such as Tableau and Looker, and crafting data stories with decks, memos, and dashboards.

What is the team structure and work environment like?

You will be an early member of the Data team within the Go-To-Market (GTM) organization, embedding with the GTM team as a trusted partner to build a data-centric culture and drive strategic initiatives.

What makes a candidate stand out for this role?

Candidates with over 10 years in data roles, proven impact in GTM areas like Sales or Marketing, strong SQL and Python skills, BI tool experience, and the ability to influence with data stories and build cross-functional partnerships will thrive.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees