377,872open jobs
9,851companies
48,526added this week
Browse all
Salary
$190k – $230k per year
Location
In office (San Francisco)
Seniority
Middle · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Decagon is a San Francisco company founded in 2023 that builds artificial intelligence support agents for consumer and business brands. Its agents resolve conversations end to end across chat, email and voice by taking actions in company systems, and admins configure behaviour through natural language operating procedures. It has grown quickly with customers in fintech, e-commerce and software.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
377,872 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
In office • 6+ years exp • Bachelor's Degree
Python
C#
C#
.NET
Databases
Databricks
FAISS
Google BigQuery
Milvus
OpenSearch
Pinecone
Snowflake
Weaviate
AI/ML
AI Agents
AutoGen
AWS Bedrock
Copilot
CrewAI
Function Calling
Hallucination
LangChain
LangGraph
LlamaIndex
LLM
LLM Guardrails
OpenAI
Prompt Engineering
RAG
Semantic Kernel
Vertex AI
DevOps
AWS
Azure
CI/CD
GCP
Git
Vector
Marketing
Salesforce
Apply
$122k – $166k per year • In office • Full-Time • 8+ years exp • Master's Degree • United States
Python
SQL
AI/ML
Accelerate
AI Agents
Amazon SageMaker
AWS Bedrock
NumPy
Pandas
PyTorch
RAG
Scikit-learn
TensorFlow
DevOps
AWS
AWS Lambda
Analytics
ETL/ELT
Apply
$98k – $132k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • United States
Databases
PostgreSQL
Snowflake
DevOps
AWS
Azure
Analytics
ETL/ELT
Apply
Report Developer 1 day ago
$74k – $155k per year (Estimated) • In office • Full-Time • 4+ years exp • Bachelor's Degree • United States
Python
Scala
SQL
Databases
Databricks
PostgreSQL
Snowflake
AI/ML
Spark
DevOps
Amazon S3
AWS
AWS Step Functions
IAM
Analytics
ETL/ELT
Power BI
Apply
$104k – $140k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • United States
SQL
Databases
PostgreSQL
Analytics
ETL/ELT
Management
Confluence
Jira
Apply
$160k – $200k per year • In office • Full-Time • 6+ years exp • San Francisco
AI/ML
AI Agents
Apply
$270k – $337k per year • In office • Full-Time • 7+ years exp • London
AI/ML
AI Agents
LLM
Prompt Engineering
Apply
$270k – $337k per year • In office • Full-Time • 7+ years exp • London
AI/ML
AI Agents
LLM
Prompt Engineering
Apply
$200k – $285k per year • In office • Full-Time • Master's Degree • New York
AI/ML
AI Agents
Cybersecurity
HIPAA
SOC 2
Apply
$232k – $290k per year • In office • Full-Time • 6+ years exp • San Francisco
AI/ML
AI Agents
Cybersecurity
GDPR
HIPAA
Apply
$133k – $338k per year • Remote/Hybrid • Full-Time • 8+ years exp • Associate's Degree • Chicago • Milwaukee • Dallas • Columbus • Kirkland
AI/ML
Knowledge Graph
DevOps
AWS
Azure
GCP
Platform Engineering
SLI/SLO/SLA
Apply
$208k – $332k per year • Remote/Hybrid • Full-Time • 9+ years exp • Bachelor's Degree • San Francisco
Apply
$197k – $314k per year • Remote/Hybrid • Full-Time • 8+ years exp • PhD • San Francisco
Apex
Java
Apex
MuleSoft
Java
Spring Boot
AI/ML
AI Agents
Model Context Protocol
RAG
Agentforce
DevOps
Docker
Kubernetes
Marketing
Salesforce
Apply
$220k – $413k per year (Estimated) • Remote/Hybrid • 12+ years exp • San Francisco
Java
Python
Ruby
Databases
DynamoDB
ElasticSearch
RocksDB
AI/ML
AI Agents
LLM Guardrails
Apply
$149k – $260k per year • In office • Full-Time • 6+ years exp • PhD • San Francisco
Go
JavaScript
TypeScript
AI/ML
AI Agents
Claude
Claude Code
Copilot
Cursor
Prompt Engineering
Agentforce
OpenAI Codex
Frontend
React.js
DevOps
Kubernetes
GitHub
Marketing
Salesforce
Apply
See all jobs
This is one of many
377,872 more open roles from verified company boards, updated every day.