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Berlin, Deutschland
Remote only
At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost.
We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.
Platform is the core part of what makes Sunrise succeed: the software that lets a robotic cell see, move and recover, and the simulation pipeline we use to build and test all of it. You will own it.
You will own what Platform builds and why: which problems it solves next, what done means, and when it lands. This is not a backlog administration job. The engineers you will work with have strong, well argued technical opinions. You need the robotics depth to argue back with evidence, to challenge an estimate credibly, and to judge when the elegant architecture is worth the time and when it is not. The same judgement runs toward the customer: what Platform builds becomes the capabilities that decide which processes we can automate and which markets we can enter, so every technical trade-off is also a customer value decision.
Own the Platform roadmap
Run discovery and prioritisation: turn ideas from customers, engineers and leadership into evidenced, prioritised jobs to be done.
Turn prioritised jobs to be done into initiatives: write the specs, set milestones the team can commit to, and sequence them against the Sunrise roadmap.
In robot software the cost of change is the core problem: a wrong requirement costs months, not days. Work out how much specification each decision needs, and catch the expensive mistakes before anyone builds them.
Run delivery with engineering
Run cycle planning for the pillar, name the outcome of each cycle, and check that the planned work adds up to that outcome.
Track dates against milestones with each initiative's technical lead. When estimates and targets disagree, cut scope, add people or move the date, explicitly and early.
Sign off that delivered work meets the requirements and the quality bar written in the spec.
Be the technical counterpart
Work daily with team leads and senior engineers on real trade-offs: perception accuracy against cycle time, simulation fidelity against speed, ship now against build it properly.
Challenge estimates and accept challenge back. Arguments here run on evidence, not seniority.
Carry the customer into the platform
Our customers are high-mix manufacturers, and the people who matter most are operators and facility managers. Bring their reality into every prioritisation decision.
Work with the deployment team so what Platform ships works on a customer's factory floor, not just in the lab.
A robotics engineering background. You have built and shipped robot software (perception, motion planning, manipulation or robotics simulation) as an engineer or technical lead. This is a must. The role cannot be done from product experience alone.
Senior product experience. You have owned a technical product area with 10 or more engineers and carried it from problem to shipped, including the messy middle.
Spec writing where the cost of change is high. Specs and requirements that engineers respect and that hold up months later.
Estimation and delivery discipline. Milestones, estimates with stated risk, and honest reforecasting when the numbers disagree.
Argument by evidence. You can disagree with a very senior engineer and change their mind, or have yours changed, without the relationship taking damage.
Excellent written English. We are remote and run on documents, not slides.
A working grasp of learned robotics. ML-driven perception and control alongside classical methods, enough to weigh bets between them.
Industrial automation or manufacturing experience in high-mix environments.
Hands-on time with simulation tooling such as Isaac Sim.
Experience as the first or most senior product person in a technical area, defining the ways of working rather than inheriting them.
Serious daily use of AI tools in product work.