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Decagon

Builds AI agents for enterprise customer support

GTM Analytics Engineer

Data EngineeringUpdated on Nov 10
Full-time$190k - $230k /yr

About the Job

Requirements

  • At least 4 years of experience in data or analytics engineering, including hands-on ownership of ETL/ELT pipelines and dbt in a production environment.
  • Strong SQL skills and direct experience building and maintaining data warehouses in BigQuery or a comparable cloud warehouse.
  • Hands-on experience working with GTM data; Salesforce experience is required.
  • A strong grasp of SaaS and GTM metrics, including conversion rates, ARR/NRR, win rates, sales cycle length, and quota attainment, and how they are derived from underlying GTM tool data.
  • Ability to turn messy, inconsistent source data into clean, well-organized, documented tables for downstream reporting and dashboarding.
  • Experience creating dashboards and conducting ad hoc analysis with large datasets in BI tools.
  • Ability to build foundational infrastructure from scratch in a fast-moving environment.
  • Strong cross-functional communication skills and ability to work directly with sales leadership to understand their needs.

Responsibilities

  • Design and build foundational GTM data infrastructure in BigQuery by ingesting, organizing, and modeling data from Salesforce, Gong, Outreach, and other GTM systems into a reliable data lake.
  • Write and maintain models that transform raw CRM and GTM tool data into trusted tables for pipeline, forecasting, segmentation, compensation, and territory reporting.
  • Partner with sales leadership and cross-functional partners to turn ambiguous, ad hoc reporting requests into durable, well-documented data models rather than one-off queries.
  • Build and maintain data pipelines that keep GTM data fresh, accurate, and consistent as tools and data sources are added.
  • Own end-to-end data quality by establishing testing, validation, and monitoring so reporting numbers are trusted.
  • Set technical standards and best practices for GTM data modeling as the function scales.

Desired Qualifications

  • Familiarity with Gong, Outreach, or similar sales engagement platforms in a high-growth B2B company is preferred.
  • Experience with Hex for dashboards and self-serve analytics is preferred.

About the Company

Decagon

Builds AI agents for enterprise customer support

Decagon builds AI customer support agents for large businesses, handling customer questions and requests over voice, chat, email, and text messages. Its platform connects these conversations to company records and internal tools, so an agent can check an order, change a reservation, or complete a support task. Customer experience teams define how agents should respond and when to pass a case to a person, while testing tools check behavior before changes reach customers. Businesses pay usage fees for the software, with charges tied to conversations or completed resolutions rather than the number of human support staff. Decagon was founded in 2023 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series D
Total funding
$481M
Headquarters
San Francisco, CA
Founded
2023

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