• Provide quality instruction in each assigned course within the approved academic program curriculum. • As appropriate, the Dean/Department Chair may solicit assistance in the development, implementation, and continuous evaluation of the curriculum, including sequence of courses and student learning outcomes. • Should respond, in a timely manner, to specific and general information requests from the institution and administrative officials, prospective employers, professional organizations, public agencies, civic organizations, private foundations, general public, and students, as appropriate. • At all times, promote appropriate standards of linguistic expression in both written and oral communications. • Ensure that all academic program requirements and forms of documentation (e.g., clinical evaluations, competency documentation) are completed as required for each student and submitted per established deadlines. • Ensure all faculty expectations are met on a weekly basis. • Appropriately manage all classroom activities. • Be reasonably accessible to students for questions and assistance. • Monitor educational and professional literature for the best practices in areas related to courses taught. • Assist with the development of curricular and policy changes as requested by the Dean/Department Chair. • Assist with the selection of new textbooks as appropriate. • Adjunct (part-time) faculty members teaching on a regular basis are required to participate in professional development activities – minimum of 1 per year.

• Prowadzeniem kompleksowego procesu sprzedażowego B2B – od pierwszego kontaktu, przez analizę potrzeb biznesowych, aż po przekazanie klienta do zespołu wdrożeniowego (Customer Success) • Obsługą dostarczonej bazy leadów – Twoim zadaniem będzie kontakt z potencjalnymi klientami zgodnie z naszym standardem sprzedaży doradczej • Kluczowe w naszym procesie jest zrozumienie wyzwań, z jakimi mierzą się placówki i zaproponowanie najlepszego rozwiązania • Budowaniem relacji z decydentami – menedżerami, właścicielami, dyrektorami medycznymi i członkami zarządów • Prowadzeniem rozmów sprzedażowych telefonicznie, mailowo oraz w formie spotkań online • Analizą celów i wyzwań placówek medycznych, by jak najlepiej dopasować naszą ofertę • Prezentowaniem ofert dostosowanych do potrzeb różnych struktur organizacyjnych • Realizacją celów sprzedażowych, opartych na wartości kontraktu, liczbie wdrożeń i aktywowanych użytkowników • Ścisłą współpracą z zespołami Customer Success, Product i Marketingu, by zapewnić płynne wdrożenie i długofalową satysfakcję klienta

• Define and champion the overall AI strategy and roadmap in alignment with the company's product vision and business goals. • Lead the selection and integration of advanced machine learning models, algorithms, and deep learning techniques relevant to embodied AI (e.g., perception, manipulation, natural language understanding). • Foster a culture of innovation, rigorous research, and responsible AI development that supports the team's ongoing success. • Ensure that all AI systems adhere to the highest standards of safety, privacy, and ethical guidelines. • Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute are optimized for current and future AI model architectures. • Oversee the design, development, and deployment of on-robot and cloud-based AI systems, leveraging the existing team's expertise. • Establish MLOps best practices for efficient model training, deployment, monitoring, and iteration. • Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control. • Deliver production-ready AI models that meet performance, latency, and reliability requirements for commercial deployment. • Spearhead the Sim2Real strategy, utilizing physics-based simulation (e.g., MuJoCo, Isaac Sim) to train robust policies that transfer seamlessly to hardware. • Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability. • Champion the existing team's talent and represent their needs to senior leadership. • Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists, AI Researchers). • Lead recruitment, mentorship, and career development for all members of the AI team. • Manage the budget allocated for team salaries, equipment, and necessary infrastructure. • Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale model training and experimentation. • Secure and allocate funding for specialized datasets and data annotation services. • Evaluate and procure necessary software licenses and tools for AI development and simulation. • Regularly report on expenditure and resource utilization to senior leadership.

• Define and execute Mark43’s enterprise data and AI strategy, aligning technical foundations with business and product priorities • Lead the evolution of a scalable, trustworthy data platform that consolidates disparate data sources into a single source of truth • Establish standards for data governance, quality, observability, and responsible AI use in a regulated public-sector environment • Partner with Product, Sales, Operations, and People teams to identify high-value AI opportunities and rapidly prototype solutions • Guide the design and deployment of AI-powered workflows, analytics, and decision-support systems—not just dashboards • Collaborate with Engineering to embed intelligence into internal tools and future product capabilities • Translate complex data and model outputs into clear, actionable insights for executive and senior leaders • Personally lead deep-dive analyses on revenue performance, operational efficiency, customer outcomes, or organizational health • Build real-time, decision-oriented dashboards and metrics that drive accountability and results • Act as a trusted advisor to senior leadership on data, AI, and emerging technology trends • Align cross-functional stakeholders around shared metrics, priorities, and data-driven decision-making • Mentor and grow data and analytics talent as the function scales