Founding Full-Stack Engineer

Founding Full-Stack Engineer

Build the software systems around planqor. ai: the real-time decision layer that steers discrete manufacturing when production plans get disrupted.

Born on the shop floor, co-founded by senior production experts, and with direct access to high-impact industry problems.

Work directly with our CTO and shape a greenfield product spanning Python backend, data, visualization, frontend, infrastructure, and integration with our optimization core.

Backed by investors who have built and scaled successful companies.

Remote-first or from our office in Munich, competitive pay + VSOP, no puzzle interviews.

The opportunity

Factories have invested billions in automation, yet production is still steered largely by people.

Every night, a plan is computed for the next day, and the first disruption makes it obsolete.

From then on, planners and shift leads juggle dependencies by hand.

That is expensive, rarely optimal, and wastes much of what these factories were built for.

We are building the layer that takes over when the plan gets disrupted.

It connects to factory data, models production, detects disruptions and bottlenecks as they emerge, simulates responses and recommends the best one.

About us planqor. ai was born on the shop floor.

Our founding team brings deep production expertise, strong industry networks.

We have the runway to build deliberately and the experience of people who have built and scaled successful companies before.

On the technical side, we combine deep algorithmic and software-engineering competence with modern optimization methods, Gen AI-assisted development and fast, pragmatic iteration.

We are in stealth and very early, which means you can shape much of what comes next.

• What you'll own
• The product layer: Turn complex optimization systems into software planners can actually use.
• Backend and data: Build Python services, APIs, data models, and pipelines around our optimization engine.
• Interfaces and visualization: Make schedules, bottlenecks, dependencies, and alternative decisions understandable and interactive.
• Integration: Connect native C++ components, factory data, and product workflows into one coherent system.
• Infrastructure: Own CI/CD, containers, deployment, observability, and the supporting services we need.
• The team: Grow into leading software engineering at planqor. ai as we scale: hiring, mentoring, and setting direction.

You set your own priorities and structure your work toward clear goals. No ticket queue, no micromanagement.

How we build

Our product sits at the boundary between algorithms, software systems, and real industrial operations.

We care about building systems that are easy to integrate, responsive, understandable, and maintainable as both the product and the underlying algorithms evolve.

We use Gen AI extensively to prototype, implement, and explore alternatives.

But generating code is not the hard part.

The value lies in designing the right system, choosing good abstractions, validating behavior, and knowing what is worth building.

There are no points for cleverness.

The simplest system that reliably solves the real problem wins.

• What you'll bring
• Strong Python and backend engineering. You are comfortable designing APIs, services, libraries, and maintainable system boundaries.
• Full-stack product skills. You can work with Type Script, React, or similar technologies and build interfaces that make complex systems understandable.
• Data and integration. You can design data models and pipelines, work with databases, and connect messy external systems to clean internal interfaces.
• Systems thinking. You think beyond individual services or screens: how data, algorithms, product, and infrastructure fit together.
• Infrastructure fundamentals. You are comfortable with Docker, CI/CD, deployment, observability, and operating services.
• Independence. You can turn an underspecified operational problem into working software without waiting for a detailed spec.
• Fluent English. German and experience in manufacturing or industrial planning are useful but not required.
• Bonus: C++ and native Python bindings such as pybind11 or nanobind; data visualization; optimization, scheduling, simulation, or other algorithmic systems; enterprise integrations such as ERP / SAP.
• What you'll get
• Real ownership: shape the product architecture from line one, working directly with our CTO.
• A clear growth path into leading the software engineering team.
• A real problem worth solving.
• We equip you with the hardware, compute, and tools you work best with.
• Remote-first or from our Munich office, with regular in-person workshops.
• Competitive pay + VSOP.