GTM Analytics Engineer (BigQuery)

TL;DR

GTM Analytics Engineer (BigQuery): Building foundational go-to-market data infrastructure and reliable analytics models from Salesforce, Gong, Outreach, and other GTM systems with an accent on data modeling, pipeline reliability, and trusted reporting. Focus on designing 0-to-1 data architecture, defining data quality standards, and translating complex sales metrics into scalable self-serve analytics.

Location: In-office in San Francisco or New York City, United States

Salary: $190K–$230K annually, plus equity.

Company

Decagon develops a conversational AI platform that enables enterprises to deliver personalized customer experiences across voice, chat, email, SMS, and other channels.

What you will do

• Design and build foundational GTM data infrastructure in BigQuery using data from Salesforce, Gong, Outreach, and other systems.
• Develop and maintain models for pipeline, forecasting, segmentation, compensation, and territory reporting.
• Build reliable data pipelines and establish standards for data freshness, accuracy, and consistency.
• Create testing, validation, and monitoring processes so GTM metrics remain trustworthy.
• Partner with sales leadership and cross-functional stakeholders to turn reporting needs into durable, documented data models.
• Set technical standards and best practices for GTM data modeling as the function scales.

Requirements

• 4+ years of experience in data or analytics engineering.
• Production experience owning ETL/ELT pipelines and dbt workflows.
• Strong SQL skills and hands-on experience with BigQuery or a comparable cloud data warehouse.
• Experience working with Salesforce and GTM data is required.
• Understanding of SaaS and GTM metrics, including conversion rates, ARR/NRR, win rates, sales cycle length, and quota attainment.
• Experience creating dashboards or large-scale ad hoc analyses in BI tools, with strong cross-functional communication skills.

Nice to have

• Familiarity with Gong, Outreach, or similar sales engagement platforms.
• Experience with Hex for dashboarding and self-serve analytics.
• Experience building foundational data infrastructure in a fast-moving, high-growth B2B environment.

Culture & Benefits

• In-office work environment focused on execution, innovation, and velocity.
• Medical, dental, vision, life, and disability benefits for employees and families.
• Retirement plan, parental leave, and fertility and family-building support.
• Monthly wellness and lifestyle stipend.
• Daily office lunches and snacks.
• Flexible vacation policy subject to local requirements.