GTM Analytics Engineer

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, Winners Mindset, and The Polymath Principle - shape how we work and grow as a 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.

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 Rev Ops, sales leadership, and the exec team can actually build on. This is a true 0-to-1 role with support from the broader Rev Ops & 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 Big Query - 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

• 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 Big Query (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…