Commercial Systems Engineer
Posted 28 Sep 2026
Advertised as “Commercial Systems Engineer ”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
No salary listed for this role.
About Flipdish
At Flipdish, we’re turning the tables in favour of independent restaurant and takeaway owners by offering them powerful, simple-to-use tech solutions backed by real human support. Everything we do is designed to make running a restaurant satisfyingly simple in a world that’s anything but.
About the role
You’ll join Flipdish as a Commercial Systems Engineer, building the products, systems, automations, and internal tools that help our commercial teams scale. Your work will support high-impact initiatives across AI Marketing, Google Business Profile (GBP), Growth Operations, and wider commercial workflows.
You’ll partner closely with Sales, Onboarding, Partnerships, Marketing, Product, and Operations to turn revenue and efficiency problems into practical, production-ready solutions. This is a hands-on engineering role for someone who moves comfortably from discovery and scoping through build, deployment, monitoring, iteration, and—when something is no longer delivering value—decommissioning.
Success in this role looks like faster delivery of commercial initiatives, higher adoption of the tools you build, less manual work, stronger revenue attribution, and measurable improvements in revenue, conversion, and operational efficiency.
What you’ll own
- Design, build, deploy, and maintain systems that support commercial products, Growth Operations initiatives, and internal operations.
- Build internal tools and automation that enable Sales, Onboarding, Partnerships, and Marketing to scale without linear headcount growth.
- Deliver product improvements and monitoring for Google Business Profile initiatives, helping improve discovery, routing accuracy, ordering coverage, control, and order-fee revenue.
- Build scalable automation for AI Marketing, including campaign setup, quality assurance, monitoring, reporting, alerting, and revenue attribution.
- Use AI-assisted engineering tools—including Claude Code, Cursor, Vercel, and LLM APIs—to ship faster and unlock capabilities that would otherwise be difficult or costly to deliver.
- Own the path from local development to production on AWS, including deployment, observability, incident response, and ongoing service reliability.
- Build dashboards and instrumentation with internal partners to track adoption, operational performance, and commercial outcomes.
- Take end-to-end ownership of problems: scope the opportunity, ship an effective solution, measure its impact, iterate based on evidence, and decommission work that is not earning its keep.
- Challenge poor decisions and propose better ways of working. Constructive challenge is a responsibility—prioritising harmony over truth or progress is a failure of responsibility.