Top Tech Jobs & Startup Jobs

Develop and deploy computer vision models for video and sensor applications, building scalable training, evaluation, inference, and MLOps pipelines. Manage GPU clusters, Docker/Kubernetes environments, cloud workloads, CI/CD, and model orchestration. Collaborate with research, robotics, and platform teams to productionize reliable computer vision systems for cloud and edge deployment, including real-time inference optimization and industrial automation applications.

Partners with Sales, Product, Engineering, and Improvement teams to win and expand manufacturing customers. Leads discovery, maps factory workflows, identifies bottlenecks, translates operational challenges into AI use cases, supports pilots and deployments, quantifies ROI, and develops repeatable value-selling playbooks. The role requires expertise in continuous improvement, Lean, operational excellence, or industrial engineering, along with manufacturing operations experience and the ability to communicate effectively with shop-floor and executive stakeholders.

Support AI software onboarding by executing onboarding cycles, monitoring success metrics, checking camera and input-data quality, documenting edge cases, maintaining datasets and process documentation, communicating blockers, and coordinating with installation teams. The role focuses on reliable process execution, continuous improvement, and cross-station consistency in a manufacturing environment.

Design and maintain AWS infrastructure with Terraform, manage Kubernetes clusters, and own CI/CD pipelines. Improve developer experience, observability, monitoring, logging, alerting, and CDN performance. The role requires strong Linux, networking, storage, database, and configuration-management skills, with opportunities to support ML infrastructure, GPU workloads, model deployment, and MLOps.

Lead full-cycle, six-figure enterprise sales across Europe and North America. The Account Executive will build relationships with manufacturing leaders, manage complex multi-stakeholder deals, conduct discovery, negotiate legal and security reviews, drive account expansion, maintain CRM hygiene, forecast accurately, and consistently meet quota. The role partners with SDRs, Growth, Product, Customer Success, Engineering, and company founders while helping develop a repeatable enterprise go-to-market playbook.

Own customer onboarding from initial execution through post-launch iteration. Validate camera and input data quality, identify edge cases, maintain datasets, document process variance, track success metrics, and communicate progress and blockers. Improve onboarding workflows through checklists, documentation, templates, and tool feedback. Coordinate with installation teams to ensure camera setups support reliable, consistent AI onboarding across stations.

Build Almetra’s marketing function from the ground up, owning positioning, messaging, go-to-market strategy, demand generation, ABM, content, events, partnerships, metrics, and reporting. The role partners closely with founders and sales leadership, establishes repeatable revenue-generating marketing motions, and gradually builds and leads the marketing team as the company scales.

Own customer onboarding outcomes by executing and improving onboarding cycles, validating data quality, documenting edge cases, tracking success metrics, and communicating progress and blockers. The role coordinates with installation teams to ensure reliable camera setups and consistent results, while improving checklists, documentation, templates, processes, and tools. Candidates should be detail-oriented, metrics-minded, technically comfortable, and experienced in structured execution roles such as implementation, QA, solutions engineering, operations, or data operations.

Identify and contact manufacturing prospects across Europe, engage operations, production, and quality leaders, qualify leads, and book meetings for Account Executives. Partner with AEs on pipeline, messaging, and market feedback while helping develop the company's go-to-market playbook. The role requires B2B sales experience, strong communication, organization, initiative, and interest in AI, robotics, or manufacturing technology.