Experience Requirements:

• 3+ years in B2B sales, preferably in SaaS, AI, or developer-focused products.

• Results-Oriented: Proven ability to meet or exceed sales quotas and drive business growth.

• Communication Skills: Excellent verbal and written communication skills with an ability to present complex concepts simply.

• CRM Knowledge: Proficiency with CRM tools (e.g., Salesforce, HubSpot) to manage sales pipelines effectively.

• Adaptability: Comfortable working in a fast-paced startup environment with a dynamic team.

Other Requirements:

• Technical Understanding: Familiarity with AI/ML concepts and developer tools is a strong plus.

Responsibilities:

• Client Acquisition: Identify, qualify, and engage potential clients, focusing on industries that benefit from on-device AI solutions (e.g., automotive, consumer electronics, SaaS).

• Relationship Management: Build and nurture strong relationships with customers, acting as the main point of contact for their AI needs.

• Sales Strategy: Develop and execute sales strategies to meet or exceed revenue targets.

• Product Expertise: Gain deep knowledge of Nexa AI's SDK and models to effectively communicate their value to customers.

• Collaboration: Work closely with the product and marketing teams to align strategies and deliver tailored solutions for clients.Market Insights: Stay informed on industry trends and competitor offerings, providing feedback to the team to refine Nexa AI's positioning.

Education Requirements:

• Bachelor's degree in Business, Computer Science, Engineering, or a related field; Master's degree preferred

Experience Requirements:

• Proven experience as a Product Manager in consumer technology, with a successful track record of launching consumer-facing applications achieving at least 10,000 MAUs

• Strong understanding of the AI technology landscape, with experience in AI-driven products preferred

Responsibilities:

• Lead cross-functional teams through the product development lifecycle, managing timelines, budgets, and project scopes

• Conduct market research and gather user feedback to guide product features and improvements

• Collaborate with engineering and research teams to create synergies and enhance product offerings

• Measure and optimize the product's performance based on key metrics and user engagement data

Experience Requirements:

• 3+ years of UX design experience in the industry

Other Requirements:

• Ability to thrive in a fast-paced, collaborative, agile environment

• Strong organizational skills and attention to detail

• Familiarity with developers' tools and basic AI knowledge

Responsibilities:

• Collaborate with product managers and engineers to introduce, iterate, and clarify requirements, converting them into user-friendly flows

• Create user stories, personas, and storyboards

• Determine information architecture and create sitemaps

• Design prototypes and wireframes

• Apply advanced visual design skills

Experience Requirements:

• 3+ years of work experience in a client facing position - MUST

• Work experience with the US market and availability for calls on US time zone when needed.

Responsibilities:

• Build lasting relationships and strengthen client partnerships, while ensuring ongoing success and satisfaction.

• Ensure a smooth and seamless experience for clients post-onboarding.

• Understand client needs to continuously improve overall satisfaction and ensure high retention rates/ Achieve retention targets through effective account management.

• Collaborate with Marketing, Operations, Finance, Partnership, and other departments to meet or exceed client expectations

• Deliver results rapidly and effectively.

Experience Requirements:

• 7+ years’ experience in similar HR roles, in small-medium tech companies.

• Substantial experience with BP aspects, ongoing consulting and partnering with managers (Director and Team Lead levels).

• Hands-on recruiting experience, including R&D and senior positions, and deep understanding of Talent Acquisition funnels.

• Knowledge in “hard” HR aspects – Labor law, C&B, metrics etc.

Responsibilities:

• Own all unit’s HR-related aspects and the full employees’ life cycle: consult and support managers, recruiting A-Z, on and offboarding, ongoing relationships, training, alignment to cross-org processes, etc.

• Build and nurture strong trust and relationships in all levels: mid-managers, team leaders, and employees. Act as a key focal point, business partner, and trusted advisor.

• Impact our growth, development, standards, and effectiveness. Lead or take part in various projects to shape and improve our HR infrastructures, workflows, training, employer branding, etc.

• Deliver high quality and timely results and progress. Meet and analyze HR metrics and KPIs, learn and improve via data.

• Collaborate with multiple stakeholders within the team, unit, and organization.

Experience Requirements:

• 6+ years of experience in Java development, with a strong background in backend engineering, including multi-threaded applications, high-scale environments, and technologies such as Java, SQL, and Big Data.

• Experience in leading or mentoring teams

• Experience to see through a feature from inception to implementation.

• Deep knowledge of the Ad-Tech industry (RTB and overall Ad Exchanges)

Responsibilities:

• Play a substantial part in shaping product strategy based on what’s technically possible (and often make the impossible possible).

• Lead the full product development lifecycle from design and implementation to testing and production.

• Work closely with the team's data scientists to plan and implement new Machine Learning models and strategies.

• Collaborate with business stakeholders to identify business needs and opportunities and provide technological solutions.

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 1+ years

Benefits:

• Work on cutting-edge AI technologies

• Flat hierarchy with direct impact

• Learning opportunities with latest tech

• Cash + revenue share

Experience Requirements:

• Next.js, TypeScript, NestJS/NodeJS, Prisma expertise

• Experience with OpenAI, Anthropic, Vercel AI SDK

Benefits:

• Build groundbreaking AI solutions from scratch

• Significant equity and competitive compensation

• Learning opportunities with latest tech

• Cash + revenue share

Experience Requirements:

• Advanced Next.js, TypeScript, and modern backend expertise

• LLM integration and AI application architecture experience

• Technical leadership and mentoring abilities

• Strong full-stack experience (next.js, typescript, prisma)

• Experience with ai/llms (openai, anthropic, vercel ai sdk)

Benefits:

• Marketing at the cutting-edge of technology

• Creative freedom to develop brand voice

Experience Requirements:

• Exceptional writing skills for complex AI concepts

• Technical product marketing experience

• AI/ML landscape and trend knowledge

Benefits:

• Creative freedom for visual identity development

• Showcase cutting-edge AI capabilities

Experience Requirements:

• Strong video editing and production portfolio

• Technical demo and tutorial creation experience

• Ability to visualize complex AI concepts

Responsibilities:

• Design and implement end-to-end MLOps pipelines for model development, training, and deployment

• Build and maintain scalable AI training and serving infrastructure

• Create automated CI/CD pipelines specifically tuned for deep learning models

• Implement comprehensive monitoring systems for model performance and system health

• Develop scalable solutions for efficient serving of large AI models in production Collaborate with AI Engineers to optimize model deployment workflows Set up and maintain model registry and versioning systems Implement distributed training environments and data pipelines Design and maintain testing frameworks for AI systems Establish metrics collection and visualization for model performance Create reproducible environments for AI development Optimize GPU/TPU resource utilization and management Implement disaster recovery and high availability for AI systems Set up distributed training environments for large-scale models Implement efficient data pipelines for training and inference

Responsibilities:

• Develop and deploy advanced image and video processing algorithms with a focus on real-time performance.

• Utilize libraries like OpenCV, YOLO, TensorFlow, and PyTorch for object detection, recognition, and tracking.

• Optimize image processing workflows for latency-sensitive applications on edge devices.

• Train, fine-tune, and deploy machine learning (ML) and deep learning (DL) models on platforms like Jetson Nano and Raspberry Pi.

• Implement AI models for computer vision tasks, including object detection, segmentation, and anomaly detection. Leverage hardware acceleration (e.g., NVIDIA TensorRT) for performance optimization. Interface SBCs with peripheral devices like cameras, sensors, and actuators for seamless system integration. Design and implement real-time processing pipelines for image and video analytics applications. Optimize algorithms for performance, energy efficiency, and memory utilization on embedded platforms. Conduct profiling and performance tuning of ML/DL models on edge devices. Conduct rigorous testing of real-time image processing and AI systems under various environmental conditions. Ensure systems meet accuracy, latency, and reliability requirements for deployment in real-world scenarios. Collaborate with AI researchers, software developers, and hardware engineers to deliver high-impact solutions. Create detailed documentation for system designs, algorithms, and deployment processes.

Benefits:

• International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures

• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)

• Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations

• Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours

Experience Requirements:

• 3+ years of work experience in data-driven environments

• Passionate about everything related to AI, Machine Learning and Computer Vision

Other Requirements:

• Python programming skills, emphasis on data engineering and distributed processing (e.g. Flask, Postgres, SQLalchemy, Airflow)

• Proficiency in working with databases and data storage solutions

• Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)

• Familiarity with cloud environments (AWS, Gcloud, Azure)

• Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)

• Fluent in English both spoken and in written language.

• Valid work permit for Austria

Responsibilities:

• Collaborate with our machine learning and backend engineers to design and manage scalable processing pipelines in productive environments.

• Implement robust processing flows and I/O-efficient data structures, powering use cases such as road surface analysis, sign detection and localization on large volumes of point cloud and imagery data.

• Design and manage relevant database schemes in close collaboration with backend engineering.

• Create and maintain comprehensive documentation of the processing pipelines, database schemes, configuration and software architecture.

Benefits:

• International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures

• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)

• Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations

• Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours

Experience Requirements:

• 3+ years of work experience in data-driven environments

• Passionate about everything related to AI, Machine Learning and Computer Vision

Other Requirements:

• Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)

• Familiarity with cloud environments (AWS, Gcloud, Azure)

• Python programming skills, emphasis on backend related technologies (e.g. Flask, Postgres, SQLalchemy)

• Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)

• Data engineering knowledge (SQL databases, distributed systems)

• Fluent in English both spoken and in written language.

• Valid work permit for Austria

Responsibilities:

• Collaborate with our machine learning engineers and data engineers to publish our models into processing pipelines and deploy to productive environments.

• Design and manage our GPU & CPU server infrastructure, from on-prem Kubernetes clusters to cloud deployments.

• Manage and orchestrate the data pipelines and data storage systems and associated synchronization processes for model training and execution.

• Own our CI/CD pipelines (based on Gitlab)

• Establish monitoring of model, pipeline and infrastructure health. Set up logging to capture relevant information for debugging and auditing.

Education Requirements:

• Ecole d’ingénieur ou Master scientifique, MBA ou formation supérieure en gestion, économie, finance

Experience Requirements:

• expérience confirmée dans le domaine des services énergétiques (idéalement intelligents utilisant des plateformes numériques) au bâtiment (ESCO) dans une fonction opérationnelle, avant-vente ou commerciale.

Responsibilities:

• Planification du marché des Collectivités et définition de l’approche des cibles en vue d’une croissance durable du portefeuille d’affaires.

• Planification et prospection commerciale auprès des grands acteurs des Collectivités.

• Gestion des grands comptes.

• Evaluation de l’offre et de la réponse technique conjointement avec les opérations et les partenaires en charge de l’implémentation.

• Revue des offres en coordination avec l’équipe opérationnelle existante.

Education Requirements:

• Ecole d’ingénieur ou Master scientifique, MBA ou formation supérieure en gestion, économie, finance

Experience Requirements:

• expérience confirmée dans le domaine des services énergétiques (idéalement intelligents utilisant des plateformes numériques) au bâtiment (ESCO) dans une fonction opérationnelle, avant-vente ou commerciale.

Responsibilities:

• Planification du marché Bureaux et définition de l’approche des cibles en vue d’une croissance durable du portefeuille d’affaires.

• Planification et prospection commerciale auprès des grands acteurs du marché des Bureaux.

• Gestion des grands comptes.

• Evaluation de l’offre et de la réponse technique conjointement avec les opérations et les partenaires en charge de l’implémentation.

• Revue des offres en coordination avec l’équipe opérationnelle existante.