Senior Revenue Systems Engineer

At Sonder, we believe every person deserves to feel safe, supported, and empowered to be at their best, wherever they are. We're redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder's mobile platform provides 24/7, real-time support from a dedicated te...

Since our founding in 2017, we've grown rapidly across Australia, New Zealand, and the UK. Backed by Seek and Blackbird, we now support over one million members and 200+ team members globally. We're well-capitalised, scaling fast, and actively building toward an AI-native organisation.

This is a newly created role inside the Commercial function. Reporting to the VP Commercial, you'll build and maintain the revenue data structures and models running in Snowflake, and take automations and AI agents built by the business from prototype to safe, reliable production.

This is a newly created role inside the Commercial function. Reporting to the VP Commercial, you'll build and maintain the revenue data structures and models running in Snowflake, and take automations and AI agents built by the business from prototype to safe, reliable production. 

5+ years in software, data or integration engineering
At least 2 years as the sole or primary engineer accountable for a system in production: scoping, building, operating, documenting and maintaining
A track record of building and running integrations between business systems using REST APIs, webhooks and serverless functions, including at least one CRM or billing platform
dbt (or equivalent) SQL modelling in production against a cloud warehouse, ideally Snowflake, with tests and CI, used to reconcile and govern data across multiple systems
Have taken at least one LLM-backed or agentic automation from prototype to production, with evaluation, monitoring, fallbacks and cost controls, and can talk through what didn't work the first time
Comfortable being the only engineer in the room, and confident working directly with Sales, Marketing, Customer Success and Finance to understand the process behind each request
Python or TypeScript for backend and pipeline work
Comfortable operating in GCP or AWS for production workloads
Working knowledge of revenue data models, and how commercial entities relate across CRM and billing systems
CPQ, quote-to-cash or contract-to-billing integration experience
Experience with iPaaS at scale
Exposure to ISO 27001 controls, DPAs or data residency requirements in a regulated or health-adjacent business
Experience working alongside GTM, RevOps, Sales Ops, Marketing Ops or Customer Ops teams