Senior Revenue Systems Engineer AI-Driven Data & RevenueOps

Sonder

Sydney

Hybrid

AUD 140,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work
Free Sonder app access
Parental leave
ESOP
Study leave
Dog-friendly office
Volunteer leave

Job summary

Sonder is seeking a senior data/engineering professional to build and maintain revenue data structures and models in Snowflake. You will take AI agents and automations from prototype to production, collaborating closely with Sales, Marketing, Customer Success and Finance to deliver reliable data solutions.

You'll contribute as the sole or primary engineer in a hybrid Sydney setup, applying REST APIs, dbt modelling, and cloud-platform tools (GCP/AWS).

Qualifications

  • 5+ years in software, data or integration engineering.
  • 2+ years as sole/primary production engineer.
  • Experience integrating business systems via REST APIs and webhooks.
  • dbt SQL modelling in production against a cloud warehouse (Snowflake ideal).
  • Led at least one LLM-backed automation from prototype to production.
  • Comfortable collaborating with Sales, Marketing, CS and Finance.

Responsibilities

  • Build and maintain revenue data structures and models in Snowflake.
  • Advance automations and AI agents from prototype to production with monitoring.
  • Collaborate with Sales, Marketing, Customer Success and Finance to understand requests.

Skills

5+ years software
Production engineering lead
REST APIs
dbt modeling
LLM automation
Cross-functional work

Tools

dbt
Python
TypeScript
GCP
AWS
CI/CD
SQL

Job description

Sonder is seeking a senior data/engineering professional to build and maintain revenue data structures and models in Snowflake. You will take AI agents and automations from prototype to production, collaborating closely with Sales, Marketing, Customer Success and Finance to deliver reliable data solutions.

You'll contribute as the sole or primary engineer in a hybrid Sydney setup, applying REST APIs, dbt modelling, and cloud-platform tools (GCP/AWS).

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