JobPosting
title: Data Scientist, GTM Intelligence
description: Compensation The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $290K - $340K per year, with generous equity, performance-related bonuses, and the following benefits: Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) 401(k) retirement plan with employer match Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time Mental health and wellness support Employer-paid basic life and disability coverage Annual learning and development stipend to fuel your professional growth Daily meals in our offices, and meal delivery credits as eligible Relocation support for eligible employees Additional taxable fringe benefits, such as charitable donation matching and wellness stipends About the Team The GTM Intelligence Solutions team builds the data and decision systems that help customer-facing teams take the right action at the right time. We combine product telemetry, commercial data, customer context, and field activity to identify account health and opportunity, recommend actions and use cases, deliver intelligence through field-facing products and agent workflows, and measure what happens next. About the Role As a Data Scientist on GTM Intelligence Solutions, you will define and build the intelligence systems that help customer-facing teams prioritize accounts, identify risks and opportunities, choose interventions, and understand what worked. Y…
date posted: 2026-07-28T12:27:29.430Z
valid through: 2026-10-02T14:04:15.544Z
direct apply: false
occupational category: Data Science
industry: Technology
skills: Python
skills: SQL
skills: Data Science
skills: Machine Learning
skills: Analytics Engineering
skills: Data Engineering
skills: Databricks
skills: Spark
skills: dbt
skills: Airflow
skills: B2B SaaS
skills: CRM
skills: Salesforce
hiring organization: OpenAI
  type: Organization
  founding date: 2020
job location: Place
  address: PostalAddress
    address locality: San Francisco
    address country: US
employment type: FULL_TIME