Description
Revenue Management at the company run on systems that gather, interpret, and act on huge amounts of commercial data - with automation and agentic tooling doing the work. This role owns the products where the hard calls are engineering judgment as much as product judgment - where correctness is verified by observing behavior, specs can't cover reality.
You'll sit with the engineers who build these systems and make the calls that keep them moving: what we build, what we decline, what "done" means, when a direction is wrong. You work directly with our business stakeholders as their technical partner, turning what the business needs into something buildable. No direct reports, no ambition to get any, seniority here is mandate and depth. The role reports into Engineering, keeping these systems anchored to technical reality even as commercial demands pull on them.
We use AI heavily across engineering, and part of this portfolio is agentic. We're hiring someone who can own hard technical products, whatever they're built from. Apply now and join our team!
YOURS TO OWN
You will have full ownership — direction, scope, priorities, and the call to stop doing something. Pricing logic, automated decisioning, agentic tooling: products where the roadmap depends on how the system behaves, combined with what stakeholders ask for. Focus on an initiatives, no project management, you carry the decisions yourself and move on only once the current one is genuinely stable
You define "working," design how we verify it, and call when the evidence is good enough to ship. Some of what we build is generated or emergent enough that behavior is easier to observe than implementation is to inspect
You decide what these systems can act on autonomously, where a human needs to be in the loop, and how much confidence we need before we trust the output. Automated pricing and agentic decisioning are part of what you own
You work with engineers on feasibility, architecture, and trade-offs, and co-own the Non Functional Requirements that make those calls durable. Part of engineering is remote, so you feel at ease to document well these changes
You spot what's newly possible and turn it into use cases our business stakeholders actually want - shaped together. That same closeness lets you say no well when you have to
YOUR SKILLS MATTER
Engineering depth you actually use You read code fluently and dig into a codebase to verify a claim or judge a change. You'll rarely write production code, never on the critical path, but you've been close enough to it that engineers trust your judgment
AI in how you work, not a talking point You use assistants, agents, LLMs are already part of your workflow. You've built or evaluated LLM-based and agentic systems enough to judge what they're doing and whether to trust the output
A track record of decisions, not alignment You've owned a call that made a stakeholder unhappy, and it held. Tell us the instance, the pushback, what happened after
Systems and platform judgment You have solid grasp of distributed systems, APIs, service boundaries, and data-intensive architectures - enough to spot coupling, failure modes, and long-term cost
Data-driven trade-offs You use evidence to prioritize, define success, and argue for cutting things and build the measurement when it doesn't exist yet
Writing that carries decisions You can write a scope rationale that someone outside the room can act on. Bring a real example
Our mobility platform ONE combines our products the company rent (car rental), the company share (car sharing), the company ride (taxi, ride, and chauffeur services), and the company+ (car subscription), giving our customers access to our fleet of 360,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. At the company, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!
Company Description