OpenAI

1 month ago

Enterprise Application Data Architect, GTM Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Define and govern data architecture for GTM systems and enterprise CRM, leading data modeling, governance, and integrations across Salesforce and related platforms to enable accurate, secure, and actionable customer data throughout the lifecycle.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define the target architecture for customer, account, contact, lead, opportunity, activity, campaign, and support data.
•Assess and improve Salesforce data across the lead-to-support lifecycle.
•Design canonical data models, entity relationships, identity-resolution rules, and system-of-record definitions.
•Lead data-cleansing and remediation initiatives, including deduplication, normalization, enrichment, validation, and historical cleanup.
•Establish matching, merging, and survivorship rules for people, companies, accounts, and related records.

Pay and Benefits

Salary: USD 260,000 - 288,000 annually

Equity and Bonus:Equity

Perks:RelocationEquity

Key Requirements

•5+ years of experience in enterprise data architecture, data management, or data engineering
•Hands-on experience with Salesforce data architecture and CRM data models (leads, contacts, accounts, opportunities)
•Proven ability to design and implement data-quality rules, deduplication, identity resolution, and data governance processes
•Strong SQL skills and experience with relational databases, cloud data warehouses, and data integration (batch, API-based, event-driven)
•Experience designing data integrations across CRM, data warehouses, and go-to-market platforms (e.g., Clay, PitchBook, ZoomInfo)

Experience:5+ yearsEnterprise data architectureCRM dataSalesforceData governanceData integration

Skills:CommunicationLeadershipProblem-solving

Tech Stack:SalesforceSQLData modelingData warehousesETLAPIReverse-ETLCloudData governance

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

1 month ago

Enterprise Application Data Architect, GTM Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define the target architecture for customer, account, contact, lead, opportunity, activity, campaign, and support data.
•Assess and improve Salesforce data across the lead-to-support lifecycle.
•Design canonical data models, entity relationships, identity-resolution rules, and system-of-record definitions.
•Lead data-cleansing and remediation initiatives, including deduplication, normalization, enrichment, validation, and historical cleanup.
•Establish matching, merging, and survivorship rules for people, companies, accounts, and related records.

Pay and Benefits

Salary: USD 260,000 - 288,000 annually

Equity and Bonus:Equity

Perks:RelocationEquity

Key Requirements

•5+ years of experience in enterprise data architecture, data management, or data engineering
•Hands-on experience with Salesforce data architecture and CRM data models (leads, contacts, accounts, opportunities)
•Proven ability to design and implement data-quality rules, deduplication, identity resolution, and data governance processes
•Strong SQL skills and experience with relational databases, cloud data warehouses, and data integration (batch, API-based, event-driven)
•Experience designing data integrations across CRM, data warehouses, and go-to-market platforms (e.g., Clay, PitchBook, ZoomInfo)

Experience:5+ yearsEnterprise data architectureCRM dataSalesforceData governanceData integration

Skills:CommunicationLeadershipProblem-solving

Tech Stack:SalesforceSQLData modelingData warehousesETLAPIReverse-ETLCloudData governance

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor