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GTM Analytics Engineer

Reads like a Data Engineer role: pipelines and data infrastructure.

San Francisco · New York City · San Francisco, CA, United States

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Sales › Revenue Operations — team source
Department: Sales › Revenue Operations
From the employer’s posting

Before you apply

Sponsorship
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Will you now or in the future require visa sponsorship to work in the country this role is located? Please reference the location(s) associated with this role.
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Apply at Decagon

What you’ll work on

Full posting

Decagon is looking for its first GTM Analytics Engineer to build the data infrastructure that our entire go-to-market organization runs on.

Design and build the foundational GTM data infrastructure in BigQuery — ingesting, organizing, and modeling data from Salesforce, Gong, Outreach, and other GTM systems into a reliable data lake

  • Design and build GTM data infrastructure in BigQuery from Salesforce, Gong, Outreach and other tools

  • Write and maintain models that turn raw CRM data into clean tables for reporting

  • Turn ad hoc reporting requests into durable, well-documented data models

  • Build and maintain pipelines that keep GTM data fresh and consistent

  • Own data quality with testing, validation and monitoring

From the employer’s posting
Decagon is looking for its first GTM Analytics Engineer to build the data infrastructure that our entire go-to-market organization runs on. You'll own turning that raw, messy data into clean, well-modeled tables that the rest of RevOps, sales leadership, and the exec team can actually build on. This is a true 0-to-1 role with support from the broader RevOps & GTM team: you'll design lots of data structures and modeling layers from the ground up, set the standards for how GTM data gets structured, and become the trusted person to answer "where does this number actually come from."
Design and build the foundational GTM data infrastructure in BigQuery — ingesting, organizing, and modeling data from Salesforce, Gong, Outreach, and other GTM systems into a reliable data lake
Design and build the foundational GTM data infrastructure in BigQuery
Write and maintain models that transform raw CRM and GTM tool data into clean, trusted tables
translate 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
Own data quality end-to-end — establishing testing, validation, and monitoring

Tools in this posting

  • SQL
  • BigQuery
  • dbt
Source — Tool mentions in context
- 4+ years of experience in data/analytics engineering, with 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) - Real experience working with GTM data — Salesforce is a must, plus familiarity with tools like Gong, Outreach, or similar sales engagement platforms in a high-growth B2B company is a plus
In this role, you will - Design and build the foundational GTM data infrastructure in BigQuery — 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 clean, trusted tables for pipeline, forecasting, segmentation, comp, and territory reporting
Your background looks something like this - 4+ years of experience in data/analytics engineering, with 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)

Benefits in the posting

Full benefits wording
  • We proudly offer the following benefits for our full-time employees:
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Retirement Plan (e.g., 401K, pension)
  • Parental Leave
  • Fertility and family building benefits through Carrot
  • Monthly stipend to support your wellness, lifestyle, and work-life balance
  • Daily lunches and snacks in the office to keep you at your best
  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
  • These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

From the employer’s posting.

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

In the employer’s words · Read in context · Company website ↗

Posting record

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Status in our records
Live
First seen by us
Aug 12, 2026 · 78 days ago
Recorded sightings
147
Last seen by us
Oct 30, 2026
Employer says posted
Aug 7, 2026

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Job description

View original posting ↗

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

About the Team

Decagon’s Revenue Operations team is a multidisciplinary group of operators combining strategic thinking, analytical rigor, and high-velocity execution. Covering GTM-wide strategy, operations and analytics, we are proactive, data-driven partners to leadership – providing critical insights, driving operational efficiency, and getting things done.

About the Role

Decagon is looking for its first GTM Analytics Engineer to build the data infrastructure that our entire go-to-market organization runs on. You'll own turning that raw, messy data into clean, well-modeled tables that the rest of RevOps, sales leadership, and the exec team can actually build on. This is a true 0-to-1 role with support from the broader RevOps & GTM team: you'll design lots of data structures and modeling layers from the ground up, set the standards for how GTM data gets structured, and become the trusted person to answer "where does this number actually come from."

In this role, you will

  • Design and build the foundational GTM data infrastructure in BigQuery — 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 clean, trusted tables for pipeline, forecasting, segmentation, comp, and territory reporting

  • Partner with sales leadership and cross-functional partners to translate 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 new tools and data sources get added

  • Own data quality end-to-end — establishing testing, validation, and monitoring so the numbers in Hex are numbers people trust

  • Set technical standards and best practices for GTM data modeling as the function scales

Your background looks something like this

  • 4+ years of experience in data/analytics engineering, with 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)

  • Real experience working with GTM data — Salesforce is a must, plus familiarity with tools like Gong, Outreach, or similar sales engagement platforms in a high-growth B2B company is a plus

  • Strong grasp of core SaaS and GTM metrics — conversion rates, ARR/NRR, win rates, sales cycle length, quota attainment — and how they're derived from the underlying GTM tool data

  • Comfort turning messy, inconsistent source data into clean, well-organized, documented tables built for downstream reporting and dashboarding

  • Experience creating outputs, including dashboards, ad hoc analysis with large datasets in BI tools (Hex preferred) for dashboarding and self-serve analytics

  • A builder mindset — you're excited to build foundational infrastructure from scratch in a fast-moving environment rather than maintain an existing system

  • Strong cross-functional communication skills; you can work directly with sales leadership to understand what they actually need, not just what they ask for

Benefits

We proudly offer the following benefits for our full-time employees:

  • Medical, Dental, and Vision benefits for you and your family

  • Life Insurance and Disability Benefits

  • Retirement Plan (e.g., 401K, pension)

  • Parental Leave

  • Fertility and family building benefits through Carrot

  • Monthly stipend to support your wellness, lifestyle, and work-life balance

  • Daily lunches and snacks in the office to keep you at your best

  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Source details

View original posting ↗

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San Francisco, CA, United States

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