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About the Role
Decagon is seeking its first GTM Analytics Engineer to construct the essential data infrastructure for the entire go-to-market organization. This role involves transforming raw data into clean, modeled tables for the RevOps, sales leadership, and executive teams. You will design data structures and modeling layers from the ground up, establish data structuring standards, and become the go-to person for data origin inquiries.
Responsibilities
- Design and build 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.
- Build and maintain data pipelines to ensure GTM data remains fresh, accurate, and consistent.
- Own end-to-end data quality by establishing testing, validation, and monitoring.
- Set technical standards and best practices for GTM data modeling as the function scales.
Requirements
- 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.
- Experience working with GTM data, including Salesforce.
- 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 and how they are derived from GTM tool data.
- Comfort turning messy, inconsistent source data into clean, well-organized, documented tables for downstream reporting and dashboarding.
- Experience creating outputs, including dashboards and ad hoc analysis with large datasets in BI tools (Hex preferred).
- A builder mindset, excited to construct foundational infrastructure from scratch in a fast-moving environment.
- Strong cross-functional communication skills, with the ability to understand and address the needs of sales leadership.
Skills
- Data Engineering
- Analytics Engineering
- ETL/ELT
- dbt
- SQL
- BigQuery
- Salesforce
- Gong
- Outreach
- SaaS Metrics
- GTM Metrics
- BI Tools
- Hex
Location
- In-office
Work Type
- Full-time
Experience Level
- 4+ years
Benefits
- 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 wellness, lifestyle, and work-life balance
- Daily lunches and snacks in the office
- Take what you need vacation policy
About the Company
- Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
- Our technology enables industry-defining enterprises 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.