Flipdish
SaaS
CommercialSystemsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Commercial Systems Engineer at Flipdish. Skills: Software engineering, AI-assisted engineering, Connecting engineering to commercial outcomes, AWS deployment and maintenance, Tool building and deployment. Design, build, deploy, and maintain tools that support Commercial products, operations and growth initiatives. Build internal tools and automation”
What You'll Achieve.
Tools you ship get used; Adoption rate and active users are the bar; Every shipped tool ties to a measurable commercial outcome (revenue, retention, efficiency hours saved, conversion uplift); Cycle time from problem to deployed solution is meaningfully shorter than it would be without AI-fluent engineering; Commercial partners report reduced operational friction quarter on quarter as your tools land; The internal shipping bar rises - fewer dead tools, more reused infrastructure, more compounding value
Industry & Context.
Identify problems; Propose better ways of working
What They're Looking For.
Must Have
4+ years of software engineering experience, Shipped and deployed real products on AWS, Comfortable with the path from local to production, Fluent in AI-assisted engineering, Can point to products you've built that real users actually used, Connect engineering work to commercial outcomes, Communicate clearly with non-engineers, Take high ownership
Nice to Have
Experience working with martech / adtech APIs (Google Business Profiles, Google Ads, Meta), Experience building AI agents, RAG systems, or AI-native workflows, Experience with serverless / edge deployments (AWS Lambda, Vercel Functions, Cloudflare Workers)
What You'll Do.
and maintain tools that support Commercial products
operations and growth initiatives
Build internal tools and automation
Use AI tooling fluently to ship faster and unlock capabilities
Deploy and maintain services on AWS
Own the path from local to production
including monitoring and incident response
Build dashboards and instrumentation
Track adoption and tie work to commercial outcomes
Take end-to-end ownership of problems - scoping
Challenge poor decisions and propose better ways of working
How You'll Work.
Team & Collaboration
Work closely with Commercial, Product, Engineering, Sales, Onboarding, and Partnerships; Partner with our internal teams to track adoption and tie your work to commercial outcomes; Communicate clearly with non-engineers - Sales, Commercial, Partnerships; Translate between business and engineering; Work closely with smart people across teams
Communication Scope
Communicate clearly with non-engineers; Translate between business and engineering without losing either side
Process & Methodology
Scoping, Shipping, Iteration
Full Job Description
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 the Commercial team as a Commercial Systems Engineer, working across high-impact areas of our product - Google Business Profiles (GBP), Flipdish Managed Marketing, and other initiatives that drive growth, partnerships, and platform expansion. This role sits at the intersection of software engineering, AI, and analytics. Your primary focus will be building and shipping tools that directly drive revenue and operational efficiency for the Commercial org. You'll work closely with Commercial, Product, Engineering, Sales, Onboarding, and Partnerships to identify problems, ship solutions, and measure whether they actually moved the needle. Success in this role is not "code shipped" - it's tools built, deployed, and adopted by real users, tied to real commercial outcomes. What you'll own Design, build, deploy, and maintain tools that support Commercial products, operations and growth initiatives. Build internal tools and automation that let Sales, Onboarding, Partnerships, and Marketing scale without scaling headcount. Use AI tooling fluently (Claude Code, Cursor, Vercel, LLM APIs) to ship faster and unlock capabilities that wouldn't otherwise be feasible. Deploy and maintain services on AWS - own the path from local to production, including monitoring and incident response. Build dashboards and instrumentation - partner with our internal teams to track adoption and tie your work to commercial outcomes. Take end-to-end ownership of problems - scoping, shipping, iteration, and decommissioning what isn't earning its keep. Challenge poor decisions and propose better ways of working. Constructive challenge is a responsibility - prioritizing harmony ove
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