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Own day-to-day finance operations for an AI startup: investor reporting, month-end close, controlling (P&L, cost centers), forecasting and budgeting, financial modeling, AP/AR oversight, and process improvements. Work with founders, external accountants, and junior staff to build financial infrastructure and dashboards, and prepare VAT filings and year-end coordination.

As a Continuous Improvement Manager, you'll analyze operations, drive implementation of AI-powered improvements, and build strong relationships with customers while ensuring measurable outcomes and efficiencies.

The Senior/Staff Robotics Engineer will lead R&D efforts in automating industrial processes using robotics and AI, focusing on modeling, planning, and controlling robotic systems.

Own and evolve cloud infrastructure on AWS using Terraform; manage and scale Kubernetes clusters; build and improve CI/CD pipelines; implement monitoring, logging and alerting; configure CDN infrastructure; and support ML workloads in production to improve developer experience and observability.

The Backend Engineer will develop and maintain backend features and APIs, optimize database performance, and collaborate with teams to enhance the platform's capabilities.

Develop and deploy computer vision models, build robust data pipelines, optimize GPU clusters, and ensure reliable deployment at the edge.

In this role, you'll manage full-cycle enterprise sales for Deltia's AI-powered solutions, working with various stakeholders and driving revenue growth while maintaining accurate forecasts and strong account relationships.

The Sales Development Representative will identify potential manufacturing customers, initiate conversations, qualify leads, and work closely with Account Executives to enhance sales pipeline and strategies.

The Product Owner will manage the backlog, define requirements, coordinate with teams, validate product outcomes, and maintain documentation in an industrial software setting.

The Research Engineer will develop vision-language models for video understanding, create training pipelines, and enhance model performance in collaboration with engineering teams.