GTM Analytics Engineer

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
190K-230K Annually
Mid level
Artificial Intelligence • Software
The Role
Design and build GTM data infrastructure in BigQuery, ingesting and modeling Salesforce and other GTM sources. Create durable dbt models and pipelines, ensure data quality with testing and monitoring, partner with sales leadership to translate requests into trusted tables, and produce dashboards and analyses for forecasting, pipeline, segmentation, comp, and territory reporting.
Summary Generated by Built In

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.

Skills Required

  • 4+ years experience in data/analytics engineering with ownership of ETL/ELT pipelines and dbt in production
  • Strong SQL skills
  • Experience building and maintaining data warehouses in BigQuery or a comparable cloud warehouse
  • Experience working with Salesforce and GTM data
  • Familiarity with Gong, Outreach, or similar sales engagement platforms
  • Strong grasp of core SaaS and GTM metrics (conversion rates, ARR/NRR, win rates, sales cycle length, quota attainment)
  • Experience producing dashboards and ad hoc analysis in BI tools (Hex preferred)
  • Experience turning messy source data into clean, documented tables for downstream reporting
  • Strong cross-functional communication skills and ability to partner with sales leadership
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Lagos
49 Employees

What We Do

Trusted by world-class companies, Decagon is the most advanced AI platform for customer support.

Similar Jobs

OpenAI Logo OpenAI

Analytics Engineer

Artificial Intelligence • Machine Learning • Generative AI
In-Office
2 Locations
4500 Employees
220K-335K Annually

Comcast Logo Comcast

Order Entry Coordinator, Media & Entertainment

Digital Media • Information Technology • News + Entertainment
Hybrid
New York, NY, USA
115000 Employees
21-32 Hourly
Easy Apply
Remote or Hybrid
USA
208 Employees
16K-200K Annually

Cox Enterprises Logo Cox Enterprises

vAuto Performance Manager

Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Remote or Hybrid
New York, NY, USA
50000 Employees
71K-165K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account