RG
Senior Product Engineer (m/w/d) – Internal Tools & E-Commerce
Contract type
Ongoing
Work mode
Remote
Experience
Senior · Not stated
Level inferred from job title
Job description
Full-stack developer role building and running an in-house software ecosystem (influencer operations tool, e-commerce command center with AI copilot, and two Shopify storefronts) end-to-end with AI-first tooling.
At a glance
- Work mode
- Remote
- Languages
- German – fluent, English
What you'll do
- Build internal products end-to-end, from the Slack ping through root-cause analysis in production data to the fix going live shortly after
- Turn fuzzy requirements from influencer marketing, e-commerce, finance and customer care into the right feature; prioritize, scope and cut
- Use Cursor, agents and LLM features as standard tools to ship fast without losing sight of quality
- Connect Shopify Admin API, payment and affiliate systems (e.g. GoAffPro), Resend and analytics sources to internal databases
- Further develop the Shopify storefronts for DE and NL
- Own monitoring, clean migrations and fail-closed behavior for permissions and shipping, since real users, emails and revenue depend on production
What we're looking for
- Several years of experience in software development
- Ideally TypeScript, React/Next.js, Postgres (Supabase) and Vercel
- Demonstrably ships faster thanks to AI-assisted development; masters agents, prompting and review discipline
- Has worked as Product Owner, founder or in a hybrid role and recognizes what is really behind a request
- Knows terms like CM3, attribution, draft order or conversion, or builds this knowledge in the first four weeks
- Works independently: without a ticket system and without a second dev team as a safety net
- Fluent German and solid English
Apply
About Rosental Organics GmbH
Behind the Rosental shop runs a self-built software ecosystem: an influencer operations tool with automated briefing dispatch, an e-commerce command center with its own AI copilot, and two Shopify storefronts for DE and NL.
Key facts
- The ecosystem is currently built essentially by one person, AI-first, in production quality with several releases per day
- The team uses your features the same day
