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Sales Operations Systems and Data Lead

Braze · New York City

出社英語

仕事内容

企業の求人情報より · Braze · 2026年10月9日掲載

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

Role Overview

The Sales Operations Data & Systems Lead architects the technical foundation and data strategy powering our global sales organization. Reporting to the Senior Manager of Sales Operations, you will eliminate seller friction by owning GTM tech stack management, building high-integrity workflows, leading continuous Salesforce data cleanup initiatives, and deploying AI-driven solutions. You will directly fuel top-of-funnel growth by designing data pipelines for sourcing and enriching new accounts. As the primary steward of our GTM technology, you will architect robust reporting frameworks to ensure the Salesforce ecosystem remains a scalable, well-governed system of record that drives revenue productivity.

Key Responsibilities

1. Systems Engineering & Tech Stack Management

  • Architecture: Lead the technical configuration and governance of Salesforce and the broader GTM stack (Openprise, Clay, etc.)
  • Automation & AI: Architect and maintain advanced automations using AI to reduce manual work and streamline account sourcing, enrichment, and routing
  • GTM Tools Management: Manage the end-to-end lifecycle of GTM tools, from vendor selection and integration to user provisioning and ticket-based troubleshooting

2. Data Strategy & Governance

  • Automated Data Integrity: Build scalable cleansing, deduplication, and enrichment workflows across all GTM data sources
  • Governance Frameworks: Establish policies to improve data quality, governance, and cross-platform alignment
  • ICP Signal Capture: Partner with Marketing and Sales to translate the Ideal Customer Profile (ICP) into technical signals to capture high-quality, actionable data for outb

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