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GTM Analytics Engineer

Decagon

San Francisco, CA, United StatesFull Time$190k–$230k
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GTM Analytics Engineer at Decagon is a full time role based in San Francisco, CA, United States. The listing states pay of $190k–$230k. It was published on 7 August 2026 and was open at last check.

GTM Analytics Engineer at Decagon — key details
RoleGTM Analytics Engineer
CompanyDecagon
LocationSan Francisco, CA, United States
Employment typeFull Time
Pay (as listed)$190k–$230k
Published7 August 2026
StatusOpen at last check

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.

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GTM Analytics Engineer at Decagon — questions answered

What does the GTM Analytics Engineer role at Decagon pay?

The GTM Analytics Engineer at Decagon listing states pay of $190k–$230k for the San Francisco, CA, United States position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.

Where is the GTM Analytics Engineer role at Decagon based?

Decagon lists this GTM Analytics Engineer role in San Francisco, CA, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Decagon before you apply.

Is the GTM Analytics Engineer role at Decagon still open?

The GTM Analytics Engineer posting at Decagon was open at OnJob's last check of the employer's careers page, having been published on 7 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the GTM Analytics Engineer role at Decagon?

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