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The Data Engineer will build high-quality data warehouses and marketing automation systems, integrate data from various systems, and evaluate AI use cases. They will work in an agile environment with the Analytics team to ensure access to data for the organization, contributing to scalable data-driven applications.
As an HR Manager, you will support daily HR administrative tasks including payroll, onboarding, and off-boarding. You'll help in planning employee engagement activities and play a key role in stabilizing the company's growth. The position also involves managing personnel-related issues and utilizing HR management tools.
As a Full-Stack Engineer, you'll design and develop a scalable platform in the EV charging industry, focusing on backend systems with Kotlin or other JVM languages, and intuitive frontends using React, Next.js, and TypeScript. You'll provide technical leadership and improve infrastructure using AWS, Kubernetes, and Docker.
In this role, you'll contribute to the development of robotics innovations, exploring opportunities to align your skills with the company’s needs. You will work in a supportive, dynamic environment, gaining hands-on experience and influencing key decisions while collaborating with a skilled team on impactful dual-use robotics products.
This is an unsolicited application opportunity where candidates can submit their profiles for potential roles at Project A or its portfolio companies. Successful applicants should highlight their skills, industries of interest, and desired seniority levels to improve their chances of finding a match.
As the Team Lead of Operations, you'll oversee post-sales customer-related topics, ensure prompt resolution of inquiries, develop scalable processes, and lead a team of operations managers. Responsibilities include improving customer experience, increasing retention, and collaborating with various departments to enhance operational efficiency.
The role involves leading a new company focused on supply chain and logistics, leveraging operational expertise and market insights. The founder will engage in collaborative decision-making, user research, MVP development, funding, and talent acquisition amidst the challenges of building a startup.
The Strategic Procurement Manager will be responsible for sourcing new suppliers, managing supplier relationships, optimizing supply chain processes, and analyzing pricing trends to support the company's expansion and purchasing strategy. This role involves high-value contracts and requires strong analytical and communication skills.
The Senior Sales Manager will manage the full sales cycle, develop relationships with customers, supervise transactions on the marketplace, mentor team members, and stay updated on market trends. The role requires collaboration with various teams and a focus on continuous improvement in the sales process.
As a Senior Data Engineer, you'll optimize large datasets for business use cases, employ machine learning for insights, and lead the design of data platforms for real-time processing and decision-making. You'll collaborate with stakeholders to fulfill data intelligence solutions and analyze customer behavior to enhance after-sales processes.
As a Senior Growth Marketing Manager, you'll design and execute marketing strategies across various channels for a diverse portfolio. This role involves analyzing performance metrics, collaborating with stakeholders, and ensuring data-driven decision-making to meet business objectives.
The Senior Growth Marketing Manager will design and execute marketing strategies for various business models, utilizing both organic and paid channels. Responsibilities include performance analysis, stakeholder communication, and collaboration with data teams to enhance marketing effectiveness.
The Senior Digital Consultant will collaborate closely with C-level stakeholders to define value drivers, manage cross-functional projects, and provide operational support in areas like project management and strategy. Responsibilities include preparing for Steering Committees and ensuring effective stakeholder management and collaboration among operational teams.
The Senior Full Stack Engineer will build and improve a web application, focusing on both frontend and backend development while optimizing infrastructure for database management and data analytics. They'll also develop engineering practices that enhance team talent retention in a startup environment.
As a Salesforce Developer, you will design and develop custom applications on the Salesforce platform, write technical documentation, troubleshoot issues, and collaborate with engineering teams to enhance the platform's capabilities. You are expected to have extensive experience with Salesforce development, including Apex and Visualforce, and integrate with third-party systems.
As a Robotic Autonomy Engineer, you will design and optimize algorithms for autonomous robotic systems, collaborating with interdisciplinary teams for feature integration. Your work will involve sensor data processing, testing autonomous systems in various environments, and documenting development processes.
As a Robotic Software Engineer, you will develop software for unmanned ground vehicles used in governmental and civilian applications, focusing on sensor and actuator integration, secure communication protocols, and hardware-software validation. You will work collaboratively with various teams to enhance robotic solutions and provide technical support while documenting processes for knowledge sharing.
As a Logistics Manager, you will coordinate global transportation, manage third-party communications, open new trade lanes, build strong customer relationships, and collaborate with various teams while using Salesforce for logistics management.
The Office Manager will ensure smooth office operations, manage employee onboarding, coordinate company events, and maintain an organized workplace. Responsibilities include handling office supplies, managing the calendar, and enhancing employee morale through celebrations.
The Lead Machine Learning Engineer will develop core data pipelines and ML services, own ML-based features from prototype to delivery, optimize performance, contribute to product strategy, and drive technical decisions within the ML stack.