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Builds and owns a customer portal and factory OS (ERP/MES) for autonomous manufacturing, connecting CAD uploads to real-time production tracking for defense hardware. Uses full-stack tech (TypeScript/React + Go/Python/Rust) to enable rapid, mission-critical manufacturing at scale.
Full-stack engineer building LabOS, an AI-orchestrated platform that schedules, executes, and analyzes biology experiments in an automated lab. Work spans interfaces, APIs, and scheduling systems to turn hardware into programmable devices.
Build and maintain AI-assisted web apps and TYPO3 CMS sites, handling full-stack development, APIs, and infrastructure in Bern.
Senior Software Engineer building the core software stack for an on-prem AI appliance — including containerized inference engines, CLIs, GUIs, APIs, system orchestration, and LLM/vision model integration — using Linux, containerization, and GPU/ML tooling.
Develops AI-driven protein design models for antibody therapeutics, optimizing therapeutic targets and validating designs in silico and in vitro. Focuses on advancing generative AI for drug discovery.
Lead product from zero to one for an AI contract review agent, defining vision, running user discovery, and shaping tech strategy around LLM agents and RAG. Requires startup/founder experience.
Lead the incubation of new AI-driven marketing channels for a content engineering platform, validating growth opportunities through data-heavy experiments and co-building with enterprise customers.
Specjalistka/Specjalista ds. Data Science projektuje, wdraża i optymalizuje modele ML oraz integruje je z systemami, tworząc rozwiązania oparte na LLM. Zarządza cyklem życia modeli, buduje potoki CI/CD i monitoruje wydajność algorytmów w środowisku produkcyjnym.
Builds AI-driven marketing automation and data pipelines to replace manual processes, ensuring clean, real-time data for campaign analytics and reporting using Python, SQL, and Supabase.
Lead the roadmap for a gym-management SaaS platform, using AI to drive product decisions and deliver features that improve fitness businesses across Europe.
Product Marketing Manager for OpenAI's Daybreak cybersecurity initiative, owning positioning, messaging, and GTM execution for AI-powered security products like Trusted Access for Cyber and Codex Security.
The AI Platform team at SingleStore builds the backend services and infrastructure that power AI-native features, including agent orchestration, RAG pipelines, and model serving. Engineers in this role use Go, Python, and Kubernetes to develop scalable, secure, and reliable platform capabilities for AI applications.
The Staff Product Manager will lead the roadmap for SingleStore's cloud data platform, focusing on infrastructure, reliability, security, and developer experience for enterprise AI and data workloads. This role involves cross-functional collaboration with engineering and design to define and execute product strategy for cloud-native data systems.
Leads cloud data platform roadmap for a distributed SQL database company, focusing on scalability, security, and developer experience to power AI and enterprise workloads.
Security Engineer at Chainguard supports cloud, IAM, and AI security while learning modern practices in a fast-paced startup environment.
Architect AI-driven business transformations for enterprises, bridging strategy and Salesforce-based agentic AI delivery to turn ambiguous problems into working solutions and roadmaps.
Lead Anthropic’s cybersecurity product strategy, ship security-focused AI tools, and represent the company externally while collaborating across research, engineering, and policy teams.
The AI Project Manager oversees the lifecycle of AI/ML projects within the insurance sector, coordinating between business stakeholders and technical teams to ensure successful delivery.
Product Manager on OpenAI's Youth Well-Being team, building age-specific ChatGPT experiences (age prediction, parental controls, crisis support) for users under 18, partnering across engineering, design, policy, and safety.
Builds and maintains scalable cloud infrastructure and data pipelines to support AI/ML applications for legal tech, collaborating with ML and dev teams to optimize performance and developer workflows.
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