Orcrist Technologies GmbH

Learning and Development

• Design and run training programs and content from onboarding to workshops
• Create and maintain e-learning modules, onboarding curricula, toolkits, and workshops
• Support learning needs assessments with team leads
• Organize and run training sessions and feedback cycles
• Analyze training feedback and outcomes to improve programs and content
• Collaborate with the LMS and Data specialist on metrics, analytics, and reporting processes

Learning and Development Expert – Programs & Content

• Build, configure, and maintain the LMS, including course structure, user management, automations, and reporting
• Collect and analyze learning KPIs, including completion rates, engagement, and skill-gap data, and translate them into clear dashboards
• Support learning needs assessments through data analysis, including skill matrices and team-level training gaps
• Produce regular reports on the effectiveness of learning initiatives for leadership
• Act as the technical point of contact for LMS integrations with other HR systems
• Support the organization and execution of training sessions and feedback cycles
• Own the technical and data backbone of the learning infrastructure

Learning and Development Expert – LMS, Data

Account Manager

• Own strategic partnerships end-to-end across the full deal and relationship lifecycle, from pre-bid positioning and joint proposals to technical integration, delivery, and renewals
• Define and execute the overall partner strategy across primes, system integrators, software/data providers, Ukrainian tech partners, and defence consortia
• Build joint business cases, identifying shared commercial opportunities, program targets, and revenue/margin-sharing models
• Structure partnership frameworks and deal terms covering customer ownership, IP and data rights, exclusivity, bid costs, and operational roles
• Orchestrate cross-functional alignment and due diligence across Legal, Finance, Security, Product, and Engineering
• Steer joint go-to-market initiatives, technical demos, solution integrations, and co-selling efforts
• Maintain partner-portfolio rigor through HubSpot pipeline tracking, joint roadmaps, and Quarterly Business Reviews
• Manage partner dynamics and resolve cross-partner or internal alignment conflicts
• Bridge external partners with internal Legal, Finance, Security, Product, and Engineering teams
• Turn relationships into repeatable, high-impact partnerships supporting critical defence and security missions

Strategic Partnerships – Alliances Manager

Data Engineer

• Build and improve data pipelines and data processing workflows
• Structure, process, and analyze large-scale visual datasets
• Develop software for visual data analytics and related intelligence applications
• Build scrapers and data collection tooling where required
• Support classification, detection, and other computer vision workflows from a software and data perspective
• Own short-lived experimental projects and rapidly prototype new ideas
• Support key technical initiatives across the Lancelot team
• Collaborate closely with other engineers and technical leadership
• Travel every 2–4 weeks for architecture reviews and team events
• Build data-intensive software capabilities for intelligence, public safety, and national security applications

Full-Stack Engineer, Data & Intelligence

Support Engineer

• Work on support tickets as part of the Internal IT team.
• Provide general support for macOS and Linux, including setup, device management, troubleshooting, and software and hardware lifecycle.
• Manage Identity & Access Management, including user lifecycle, groups, roles, permissions, and SSO across core systems.
• Own tooling systems, including configuration, access, integrations, and lifecycle.
• Run IT onboarding calls for new joiners as their first Internal IT contact.
• Own internal IT projects from scoping through rollout and handover into operations.
• Automate onboarding, role changes, tool provisioning, and offboarding user journeys.
• Improve processes.
• Document processes, systems, and tooling for colleagues and Internal IT documentation.

Senior IT Support Engineer

Computer Vision Engineer

• Develop, train, evaluate, and fine-tune computer vision and visual language models
• Work on object recognition, detection, classification, and identification
• Build data pipelines, scrapers, and workflows for large-scale visual and geospatial datasets
• Experiment with state-of-the-art and open-source models and turn promising approaches into reliable systems
• Work with satellite imagery, geospatial data, sensors, and other visual intelligence sources
• Take ownership of experimental projects and rapidly explore new ideas and technologies
• Collaborate closely with other engineers and technical leadership on key initiatives
• Travel every 2–4 weeks for architecture reviews and team events
• Develop and productionize computer vision and visual language capabilities for intelligence and public safety projects
• Train, evaluate, fine-tune, and optimize AI models for real-world use cases
• Work with object recognition, image and document understanding, geospatial data, satellite imagery, and large-scale visual data
• Build practical engineering systems from data pipelines and experiments

Learning and Development Expert – Programs & Content

Learning and Development Expert – LMS, Data

Strategic Partnerships – Alliances Manager

Full-Stack Engineer, Data & Intelligence

Senior IT Support Engineer

ML Engineer – Computer Vision, VLM