GTM Analytics Engineer

Decagon
San Francisco, New York
Workplace: OnsiteFull timeUSD 190,000 - 230,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 4+ yearsSkills: ["Cross-functional communication","Builder mindset","Data quality focus","Analytical rigor","Documentation"]

Own the 0-to-1 GTM data infrastructure for the go-to-market organization by transforming raw, messy data into clean, trusted tables. Design and model data in BigQuery from Salesforce, Gong, Outreach, and other GTM tools, build ETL/ELT pipelines and data quality testing, and turn ad hoc reporting requests into durable models. Partner with RevOps and sales leadership to power pipeline, forecasting, segmentation, and territory reporting.

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FursaFursa
Decagon
Decagon
2 days ago

GTM Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Own the 0-to-1 GTM data infrastructure for the go-to-market organization by transforming raw, messy data into clean, trusted tables. Design and model data in BigQuery from Salesforce, Gong, Outreach, and other GTM tools, build ETL/ELT pipelines and data quality testing, and turn ad hoc reporting requests into durable models. Partner with RevOps and sales leadership to power pipeline, forecasting, segmentation, and territory reporting.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and build foundational GTM data infrastructure in BigQuery by ingesting, organizing, and modeling data from Salesforce, Gong, Outreach, and other systems.
  • •Write and maintain models that transform raw CRM and GTM tool data into trusted tables for pipeline, forecasting, segmentation, comp, and territory reporting.
  • •Partner with sales leadership to translate ad hoc reporting requests into durable, well-documented data models.
  • •Build and maintain pipelines to keep GTM data fresh, accurate, and consistent as new tools and sources are added.
  • •Own end-to-end data quality through testing, validation, and monitoring, and set GTM data modeling standards as the function scales.

Pay and Benefits

Salary: USD 190,000 - 230,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceRetirementParental Leave

Key Requirements

  • •4+ years of experience in data/analytics engineering with hands-on ownership of ETL/ELT pipelines and dbt in production.
  • •Strong SQL skills and direct experience building and maintaining data warehouses in BigQuery (or comparable cloud warehouse).
  • •Real experience working with GTM data; Salesforce is required.
  • •Familiarity with SaaS/GTM metrics (e.g., conversion rates, ARR/NRR, win rates, sales cycle length) and how they’re derived from tool data.
  • •Comfort turning messy source data into clean, well-documented tables for downstream reporting and dashboarding.
Experience:4+ yearsSaaSB2BGTM analytics
Skills:Cross-functional communicationBuilder mindsetData quality focusAnalytical rigorDocumentation
Tech Stack:BigQuerySalesforceGongOutreachSQLDbtETLELTData modelingData pipelinesHexDashboards

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
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