Fabuwood

# AI Full Stack Developer **Reports to:** GPS Team Lead **Location:** Fabuwood **Position Level:** Junior ## Position Overview We are seeking a capable, AI-driven developer who can design, build, and deliver practical digital solutions that improve business processes and user experiences. This role is responsible for developing full stack applications from concept through deployment, using modern technologies and AI-assisted development tools. The ideal candidate combines strong technical fundamentals, product judgment, and attention to design while collaborating with business teams to turn ideas into reliable, user-friendly solutions. ## Key Responsibilities - Design, develop, test, deploy, and maintain full stack applications and internal tools. - Translate business needs and loosely defined requirements into practical, effective software solutions. - Leverage AI-assisted development tools to accelerate coding, troubleshooting, testing, and delivery. - Build and integrate user interfaces, application programming interfaces (APIs), databases, authentication systems, and third-party services. - Develop polished, intuitive user experiences with strong attention to functionality, usability, and visual design. - Review, validate, and improve AI-generated code to ensure accuracy, security, performance, and maintainability. - Take ownership of assigned projects from initial concept through deployment, ongoing improvements, and production support. - Collaborate with stakeholders and technical team members to communicate progress, evaluate solutions, and resolve challenges. ## Qualifications - Demonstrated ability to build and deliver functional applications, products, or internal tools through professional projects, internships, or a strong portfolio. - Working knowledge of front-end and back-end development, including modern frameworks, APIs, and databases. - Proficiency with AI-assisted development tools and the ability to use them effectively throughout the development process. - Ability to evaluate, troubleshoot, and improve code, including code generated by AI tools. - Strong understanding of user experience principles, with attention to clean interfaces and intuitive functionality. - Strong problem-solving skills, sound technical judgment, and the ability to work independently while remaining open to guidance and feedback. - Clear communication skills, a sense of ownership, and the ability to adapt to evolving business needs and project requirements.

Description We are looking for exceptional data scientists with a passion for using data to discover insights and utilize them to drive decision-making. As the technology leader in our space, predictive analytics is our core competitive advantage. As a Data Scientist at Fabuwood, you will have a critical role with senior-level visibility and the ability to impact meaningful change. If you are curious and driven mathematician and programmer, you will succeed in our results-oriented culture. Required skills Your skills should include: Strong executive-level communication skills Research and implement appropriate ML algorithms and tools Familiarity with machine learning frameworks and libraries Develop machine learning applications according to requirements R or Python programming Expertise deploying machine learning algorithms for solving real world problems 7. At least two years of data science / predictive analytics experience or more in a commercial setting (non-academic, usually non-government) Familiarity with a variety structured and unstructured databases Familiarity working in a cloud environment (AWS, Azure or similar) An ability to learn and acquire new skills quickly Thinking creatively outside the box about predictive analytics and problem solving Ideal background 1. Experience implementing and data collection & analysis projects 2. Experience implementing data visualization projects 3. Experience implementing predictive analytics models in a commercial / production setting 4. Command of data mining and predictive analysis 5. MS degree or an equivalent level of experience in a quantitative field 6. An active blog, publications or GitHub repository demonstrating a portfolio of code and projects 7. Demonstrated R/Python expertise (based on a coding test during the interview process)

Reports to: General Counsel Location: Newark, NJ | Full-time | M-Th 8AM-5PM, F half-day Position Overview The Associate Counsel supports the General Counsel in executing the company’s legal strategy, with a focus on transactional and commercial legal matters that enable day-to-day business operations. Along with General Counsel, this role owns contract review, regulatory compliance support, and risk identification, partnering closely with teams across the organization to provide clear, practical legal guidance. This is a hands-on, individual contributor role with meaningful ownership and exposure across the business. Key Responsibilities Draft, review, and negotiate a wide variety of commercial agreements, including, e.g., equipment purchases, software-as-a-service (SaaS) agreements, professional services agreements, and leases. Provide timely, practical legal guidance to business teams on contracts, risk, and operational decisions. Support corporate governance and regulatory compliance efforts in partnership with General Counsel. Identify legal risks and propose clear, business-oriented solutions to mitigate exposure. Manage and track contract workflows to ensure efficiency, consistency, and proper documentation. Partner with internal stakeholders (Sales, Operations, HR, Finance) to align legal support with business needs. Help oversee outside counsel for specialized matters, ensuring cost-effective and targeted use. Support internal investigations and compliance initiatives, including policy development and adherence. Qualifications Juris Doctor (JD) from an accredited law school and active bar admission in good standing. 2 - 6 years of experience in transactional or commercial law (law firm or in-house), preferably in a small to mid-sized firm or business environment. Strong contract drafting and negotiation skills, with attention to detail and sound judgment. Demonstrated ability to work independently, prioritize effectively, and operate without heavy oversight. Practical, business-oriented mindset with the ability to balance risk and speed. Strong interpersonal skills; collaborative, low-ego approach with a willingness to support team goals. Quick, efficient, resourceful, with the ability to learn new areas and adapt in a fast-paced environment.

Position Overview The Talent Coordinator plays an important role in creating a professional, welcoming, and consistent employee experience at Fabuwood. This role owns new-hire orientation and supports Talent initiatives across onboarding, learning and development, employee engagement and recognition, and more. Working closely with the Talent Manager and team, this position brings strong organization, communication, judgment, and follow-through to programs that support employees throughout their experience at Fabuwood. Key Responsibilities Own the delivery and coordination of new-hire orientation and onboarding, ensuring employees receive a welcoming, organized, and consistent start. Coordinate learning and development programs, including logistics, participation, resources, and follow-up. Drive the execution of Talent-sponsored employee engagement, recognition, and culture initiatives. Coordinate Talent communications, including the employee newsletter, ensuring content is clear, timely, accurate, and engaging. Manage day-to-day Talent operations and employee requests, providing responsive support and ensuring needs are addressed or connected to the right resource. Maintain Talent systems, resources, documentation, and reporting. Coordinate assigned Talent projects from planning through completion, keeping priorities, stakeholders, and deliverables organized and on track. Qualifications 2-4+ years of experience in HR, Talent, L&D, or a related people-focused environment. Strong organizational and project coordination skills with the ability to manage multiple priorities. Excellent written and verbal communication skills, with confidence presenting to groups and working with employees and managers at all levels. Professional presence, strong interpersonal skills, and a service-minded approach to employee support. Strong attention to detail, judgment, and discretion when handling sensitive employee information. Experience with task management tools such as Asana and learning management systems. Strong interest in leveraging emerging technologies to improve processes, efficiency, and operations.

Job Description: The Mechanic is responsible for performing maintenance, repairs, and troubleshooting of mechanical equipment, machinery, and systems to ensure smooth operations and minimize downtime. This role requires strong technical expertise and the ability to perform hands-on repairs in a manufacturing environment. Responsibilities: Perform routine maintenance and inspections on mechanical equipment and machinery. Troubleshoot and repair mechanical systems to minimize downtime. Follow daily maintenance schedules and work orders as assigned. Support preventive maintenance programs to improve equipment reliability. Document all work performed using CMMS software or maintenance logs. Assist with root cause analysis for equipment failures and provide repair solutions. Communicate effectively with team members and report major issues to management. Adhere to safety standards and protocols during all maintenance activities. Minimum Requirements: Prior experience as a mechanic or maintenance technician in a manufacturing environment. Strong technical knowledge of mechanical systems and equipment. Ability to troubleshoot and perform hands-on repairs. Familiarity with preventive maintenance programs and tools. Basic understanding of CMMS or maintenance logging systems (preferred). Good communication skills and ability to work within a team.

Logistics Data Analyst Job Description Position Summary The Logistics Data Analyst owns the data foundation that supports operational decision-making across the Logistics Department. This role produces fast, reliable, and explainable data for leadership decisions, P&L visibility, KPI tracking, dashboard reporting, project validation, and operational scorecards. The analyst turns raw and messy logistics data into usable insights, validates whether ideas and process changes are supported by actual data, investigates data discrepancies, and helps ensure Logistics reporting remains accurate, trusted, and actionable. Why This Role Exists · Logistics does not make important operational decisions without data supporting it. · P&L visibility requires clean, traceable, and explainable logistics data. · Operations require accurate KPIs, dashboards, scorecards, and fast one-time analysis requests. · Projects and process changes need data validation before they move forward and performance tracking after launch. · Data integrity must be high enough that when a number is questioned, the source, logic, and issue can be clearly explained. Key Responsibilities Decision-Ready Data Support · Produce fast, reliable, and explainable data to support leadership and operational decisions. · Translate operational questions into clear data pulls, analysis, findings, and recommended next steps. · Validate whether proposed ideas, process changes, or improvement opportunities are supported by volume, cost, service, or performance data. · Separate one-off noise from recurring operational patterns that require action. P&L and Cost Visibility · Support Logistics P&L visibility by analyzing cost drivers, shipment economics, billing trends, variance patterns, and financial impact of operational changes. · Build and maintain analysis that helps explain actual vs. expected cost behavior, cost leakage, savings opportunities, and department-level financial performance. · Partner with leadership and Finance as needed to ensure logistics data is accurate, traceable, and usable for decision-making. KPI, Dashboard, and Scorecard Ownership · Build, maintain, and improve operational dashboards, KPI reports, and department scorecards based on business need. · Define KPI logic clearly so users understand what each metric means, where it comes from, and how it should be used. · Monitor dashboard reliability and update reporting logic when workflows, systems, or business rules change. · Support recurring reporting as well as urgent one-time pull requests. Project and Issue Analysis · Provide data-driven recommendations for logistics projects, operational issues, and process improvement initiatives. · Perform root-cause analysis to identify what is driving performance issues, cost increases, service failures · Measure pre-launch baselines and post-launch results to confirm whether a project or fix delivered the expected impact. · Create practical ROI and impact models helping decide if to proceed, pause, modify, or drop an initiative. Data Integrity and Explainability · Own data accuracy, consistency, and reliability for Logistics reporting and analysis. · Investigate when numbers look incorrect, sources conflict, or reporting logic is unclear. · Document data definitions, assumptions, calculation logic, limitations, and known issues. · Work with Tech, systems owners, or other stakeholders to correct or escalate data quality issues when they affect decision-making. Cross-Functional Communication · Communicate findings clearly to technical and non-technical stakeholders. · Turn complex analysis into simple, practical summaries that explain what matters, why it matters, and what action should be considered. · Collaborate with Logistics Office, Warehouse, Tech, Finance, and other departments to understand data needs and deliver analysis aligned with operational priorities. Required Qualifications · Strong analytical ability with experience collecting, cleaning, organizing, and interpreting operational or financial data. · Advanced Excel skills and comfort working with large data sets. · Experience with reporting, dashboarding, or BI tools such as Power BI, Tableau, ThoughtSpot, SQL-based reports, or similar platforms. · Ability to explain data logic clearly in plain business language. · Strong attention to detail and accuracy, especially when data is used for financial or operational decisions. · Ability to work with cross-functional stakeholders and clarify the real business question behind a data request. · Strong follow-through and ability to handle recurring reports, urgent requests, and project-based analysis without losing track of details. · Experience investigating data discrepancies across multiple systems. Preferred Qualifications · Experience in logistics, supply chain, transportation, warehouse operations, or manufacturing environments. · Working knowledge of TMS, WMS, ERP, shipping, routing, carrier, billing, or order-management data. · SQL or database-query experience.