Transportation Success Team

🏢 Summary: Onsite Operations Coordinator role supporting daily terminal and delivery operations in a fast-paced logistics environment. The position focuses on driver coordination, dispatch management, KPI tracking, and ensuring on-time pickup and delivery performance. This weekday role requires strong Excel skills, operational support experience, and real-time problem-solving abilities. 🗂️ Requirements: Experience in customer support and customer satisfaction, Intermediate to advanced Microsoft Excel knowledge, Strong analytical and problem-solving skills, Ability to adapt to new tools, systems, and processes, Ability to work in a fast-paced environment with shifting priorities, Strong written and verbal communication skills, Ability to prioritize tasks with urgency 📃 Skills: Excel, Dispatch, Logistics, KPI, POD, Reporting, DataAnalysis 🏢 Description: About the Role Support daily terminal and delivery operations in a fast-paced environment. Serve as a key operations and coordination partner for drivers, dock supervisors, and internal teams. Ensure smooth dock launches and high levels of on-time pickup and delivery performance. Provide consistent, high-quality customer and driver support. This role is onsite and aligned to standard weekday business hours. What You'll Do Provide high-level customer service and operational support. Support drivers and serve as a primary point of contact during daily operations. Coordinate with dock supervisors to ensure successful daily dock launches. Lead and coordinate drivers to maintain on-time pickup and delivery performance. Maintain accurate driver records, including times, routes, and special handling instructions. Manage KPIs, open job reports, and daily POD reconciliation. Oversee pickup dispatch management, including B2B and B2C assignments. Support key customer accounts and provide ETAs as requested. Manually build jobs when required and input rate adjustments. Track and trace shipments to ensure service expectations are met. Provide ad-hoc delivery and pickup coverage as needed. Attend weekly operations meetings and support continuous improvement initiatives. What We're Looking For Required Qualifications Strong written and verbal communication skills. Demonstrated experience in customer support and customer satisfaction. Ability to think on your feet and problem-solve in real time. Ability to learn quickly and adapt to new tools, systems, and processes. Intermediate to advanced working knowledge of Microsoft Excel. Strong analytical, organizational, and problem-solving skills. Comfort working in a fast-paced environment with shifting priorities. Ability to prioritize tasks and operate with a strong sense of urgency. Preferred Qualifications Previous dispatch, transportation, or logistics experience. Bilingual in Spanish. Benefits & Perks Medical, dental, and vision coverage with multiple plan options, including HSA-eligible plans. Company-paid life insurance and short- and long-term disability coverage. Flexible spending accounts and dependent care savings options. Employee Assistance Program with confidential counseling, legal, and financial resources. Wellness programs and benefit advocacy support. Equal Opportunity Employer The company is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

🏢 Summary: Airport Ground Operations/Customer Service leadership role focused on supervising cross-utilized agents, coordinating daily airport operations, ensuring safety and regulatory compliance, and supporting customer service activities. The position includes hands-on operational duties such as baggage handling, aircraft support, training coordination, and operating ground equipment in a fast-paced airport environment. 🗂️ Requirements: High School Diploma/GED, Minimum 1 year customer service experience, Airline industry experience, Authorization to work in the US, Pass criminal background check, Valid driver’s license, Minimum age of 18, Ability to read, write, and speak English, Ability to work flexible schedules including nights, weekends, and holidays, Ability to operate airport ground equipment, Ability to lift, push, pull, or carry up to 300 lbs 📃 Skills: FAA, CustomerService, GroundOperations, Security, Commissary, Training, BaggageHandling, Marshalling, Pushback, Deicing, Tractors, Tugs, BeltLoaders, OfficeEquipment 🏢 Description: Summary This position is responsible for overseeing and providing operational support to airport Ground Operations/Customer Service (Cross-Utilized) Agents consistent with company policy and federal and state regulations. Responsibilities include ground operations, aircraft cleaning, security, operations, and commissary duties as required. Minimum Requirements • Combination of education and experience will be considered • Must be authorized to work in the US as defined by the Immigration Act of 1986 • Must pass a Criminal Background Check • Education: High School Diploma/GED • Minimum one (1) year customer service experience • Airline industry experience Preferred Requirements • Knowledge of customer service and ground operations procedures • Basic computer skills • General knowledge of office equipment • People-oriented with a positive and friendly attitude • Professional communication skills with internal and external customers • Well groomed and adheres to dress code policy • Ability to work efficiently under time constraints • Willingness to work flexible schedules including nights, weekends, and holidays • Must be at least 18 years of age and possess a valid driver’s license • Ability to read, write, and speak English Job Duties • Coordinate and direct duties and activities of Customer Service/Ground Operations agents • Interface with supervisors, leads, and departments to resolve service issues and ensure quality of service • Ensure adherence to company safety rules including dangerous goods handling and awareness • Report safety hazards and incidents to supervisor • Perform functions of a Customer Service/Ground Operations Agent • Work flexible hours including nights, weekends, holidays, and irregular operations • Assign employees to specific job functions as needed • Provide information on arrival and departure times, boarding procedures, carry-on regulations, and seating arrangements • Ensure FAA, company, and airport regulations are followed • Assist customers with special needs during boarding • Load and unload baggage and co-mail from aircraft and airport baggage areas • Marshal planes and push back aircraft • Operate heavy motorized machinery and equipment including tugs, tractors, belt loaders, bag carts, push-back tractors, and deicers • Lead and motivate team members • Coordinate and provide training for employees including new hires and recurrent training • Other duties as assigned Physical Requirements The role requires standing, sitting, talking, hearing, seeing, reaching, stooping, kneeling, climbing, and using hands and fingers to operate tools and equipment such as hand trucks, carts, ramps, and tugs. May be required to lift, push, pull, or carry up to 300 lbs. Exposure to heights, confined spaces, extreme noise, varying temperatures, wind, and light fluctuations is expected. Ability to wear personal protective gear and work various shifts in a 24-hour environment is required. Benefits Full Time Benefits: • Profit Sharing • Medical/Dental/Vision/Life/Disability Insurance • Medical Travel Reimbursement • Legal, Identity and Pet Insurance • 401K with employer match • Employee Stock Purchase Plan • Employee Assistance Program • Tuition Reimbursement • Flight Benefits • Paid vacation, holidays, and sick time Part Time Benefits: • Profit Sharing • Medical Travel Reimbursement • Legal, Identity and Pet Insurance • 401K with employer match • Employee Stock Purchase Plan • Employee Assistance Program • Tuition Reimbursement • Flight Benefits • Sick time

🏢 Summary: Operations Specialist role supporting autonomous truck testing and commercial freight operations, focused on safe operation of self-driving vehicles and system feedback. The position includes operating autonomous trucks on public roads, monitoring system performance, and maintaining strict safety compliance. Benefits include competitive hourly pay, bonus opportunities, full healthcare coverage, retirement matching, and open PTO. 🗂️ Requirements: 7+ years of Class A driving experience, Valid Class A CDL, Airbrake Endorsement, Current DOT Medical Certificate, Strictly clean MVR, No reckless driving or license suspensions/revocations, No moving violations within the last 7 years, Pass pre-employment drug/alcohol screening, Pass sleep apnea screening, Ability to operate autonomous trucks safely on public roads 📃 Skills: CDL, DOT, Autonomy, Trucking, Smartphone, Tablet 🏢 Description: About Stack: Stack is developing AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency in trucking transportation. The company develops autonomous technology using artificial intelligence, robotics, machine learning, and cloud technologies. About the Team: The Development Fleet Operations team is responsible for the safe testing and operation of new technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, ensure operational safety, and provide feedback on system performance while hauling commercial freight. Responsibilities: - Safely operate autonomous trucks on public roads to support development testing and commercial pilot operations - Haul commercial freight between customer locations and/or meet points - Provide feedback on system performance to advance self-driving technology - Utilize internal tools on a smartphone/tablet to track assigned and completed work - Uphold industry-leading safety standards and remain compliant with internal benchmarks - Remain alert and attentive while operating during extended stretches of autonomy Benefits & Perks: - Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing - Stack covers 100% of Medical, Dental, and Vision healthcare premiums for employees and families - 401(k) plan with company match and annual profit-sharing contribution - Open PTO policy and 11 paid company holidays - 100% no-touch freight with no loading or unloading of trailers Qualifications & Safety Standards: - 7+ years of Class A driving experience - Valid Class A CDL with Airbrake Endorsement - Current DOT Medical Certificate - Strictly clean MVR required - No history of reckless driving, leaving the scene of an accident, or license suspensions/revocations - No moving violations within the last 7 years, including speeding, distracted driving, improper lane changes, or unlawful passing - Must pass pre-employment drug/alcohol screening and sleep apnea screening Additional Information: This position may require verification of residence, U.S. person status, and/or citizenship status due to applicable national security laws and export control regulations.

🏢 Summary: Technical leadership role focused on motion planning and trajectory optimization for autonomous vehicles, driving architecture, algorithm development, and scalable software systems for production robotaxis. The position involves cross-functional collaboration, optimization solver integration, and development of safety-critical real-time systems using C++ and robotics expertise. Hybrid or remote work is available with competitive compensation and benefits. 🗂️ Requirements: 5+ years of production-grade C++ software development, Experience with real-time, low-latency, or safety-critical systems, Degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field, Experience leading large-scale technical development initiatives, Expertise in motion planning and Model Predictive Control (MPC), Knowledge of planning under uncertainty and vehicle dynamics/control, Strong understanding of non-linear and numerical optimization algorithms, Experience with optimization solvers in embedded real-time environments, Ability to design scalable software architectures, Experience with closed-loop simulation environments 📃 Skills: C++, Python, MPC, IPOPT, Gurobi, OSQP, CasADi, Robotics, Optimization, Simulation, CI, Embedded 🏢 Description: Mission Summary: On our Motion team, you will serve as a technical leader, leveraging your deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles. In this role, you will drive innovative research, own systemic design processes, and spearhead the implementation of performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across autonomous vehicle fleets. If you are passionate about autonomous driving, thrive on solving challenging motion planning problems, and are eager to make a significant impact in a rapidly evolving field, this role offers the opportunity to work on cutting-edge autonomous systems. Technical Scope: - Architect state-of-the-art solutions for motion planning and trajectory optimization algorithms to guarantee safe, smooth, and comfortable vehicle motion. - Own the structural design of robust and scalable software by evaluating, benchmarking, and integrating diverse optimal control techniques and motion planning algorithms. - Establish code quality benchmarks and lead architectural code and design reviews using C++ across cross-functional services and technologies. - Define modern development toolchains, including testing frameworks, high-fidelity simulation, and continuous integration systems. Role Responsibilities: - Define and communicate complex system trade-offs and technical concepts to engineering peers and leadership. - Lead architectural co-design with teams focused on behavior planning, prediction, and vehicle control. - Author project proposals and technical roadmaps spanning multiple safety-critical vehicle subsystems. - Mentor engineers and foster a culture of rigorous research and product-focused engineering. What We're Looking For: - 5+ years of production-grade C++ software development experience in real-time, low-latency, or safety-critical applications. - Bachelor's, Master's, or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field preferred. - Proven experience leading large-scale technical initiatives from problem formulation through production implementation. - Deep expertise in Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics/control, and closed-loop simulation. - Strong mathematical understanding of non-linear and numerical optimization algorithms, including interior point methods, sequential quadratic programming, and convex/non-convex optimization. - Experience deploying and scaling optimization solvers such as IPOPT, Gurobi, OSQP, and CasADi in real-time embedded environments. - Python experience for simulation, data analysis, or rapid prototyping is a plus. Work Arrangement: - Hybrid schedule with in-office collaboration in Boston, Pittsburgh, or Las Vegas, or fully remote. Compensation and Benefits: - Salary range: $205,000—$272,500 USD. - Additional compensation may include bonus or company equity. - Benefits include medical, dental, vision, 401k with company match, health savings accounts, life insurance, and pet insurance. Equal Opportunity: - The company is committed to diversity, inclusion, and equal employment opportunity. - Participation in E-Verify is required for employment eligibility verification.

🏢 Summary: Senior technical leadership role focused on motion planning, trajectory optimization, and scalable software architecture for autonomous vehicles. The position involves designing production-grade algorithms, leading cross-functional system architecture, and advancing real-time safety-critical robotics systems. Candidates will work on autonomous driving technologies using optimization, simulation, and embedded software development. 🗂️ Requirements: 5+ years of production-grade C++ development, Experience with real-time or safety-critical systems, Degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field, Expertise in motion planning and Model Predictive Control, Experience with planning under uncertainty and vehicle dynamics, Strong understanding of nonlinear and numerical optimization, Experience with optimization solvers in embedded environments, Ability to lead large-scale technical initiatives, Experience with closed-loop simulation environments 📃 Skills: C++, Python, MPC, IPOPT, Gurobi, OSQP, CasADi, Robotics, Optimization, Simulation, Embedded, CI 🏢 Description: Mission Summary: On our Motion team, you will serve as a technical leader, leveraging your deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles. In this role, you will drive innovative research, own systemic design processes, and spearhead the implementation of performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across autonomous vehicle fleets. If you are passionate about autonomous driving, thrive on solving challenging motion planning problems, and are eager to make a significant impact in a rapidly evolving field, this role offers the opportunity to contribute to cutting-edge autonomous driving technology. Technical Scope: - Architect state-of-the-art motion planning and trajectory optimization solutions to ensure safe, smooth, and comfortable vehicle motion. - Design robust and scalable software architectures by evaluating, benchmarking, and integrating optimal control techniques and motion planning algorithms. - Establish code quality benchmarks and lead architectural code and design reviews using C++. - Define and champion modern development toolchains, testing frameworks, high-fidelity simulation, and continuous integration systems. Role Responsibilities: - Define and communicate complex system trade-offs and technical concepts to engineering teams and leadership. - Collaborate with teams focused on decision planning, prediction, and vehicle control to build integrated safety-critical systems. - Author technical proposals and contribute to long-term subsystem roadmaps. - Mentor engineering team members and promote rigorous research and engineering practices. What We're Looking For: - 5+ years of production-grade C++ software development experience in real-time, low-latency, or safety-critical applications. - Bachelor's, Master's, or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field preferred. - Proven experience leading large-scale technical initiatives from problem definition through production deployment. - Deep expertise in Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics, and closed-loop simulation. - Strong mathematical understanding of nonlinear and numerical optimization techniques, including interior point methods, sequential quadratic programming, and convex/non-convex optimization. - Experience deploying and scaling optimization solvers such as IPOPT, Gurobi, OSQP, and CasADi in real-time embedded systems. - Python experience for simulation, data analysis, or prototyping is a plus. Work Arrangement: - Hybrid schedule available in Boston, Pittsburgh, or Las Vegas, or fully remote. Benefits: - Eligible employees may receive medical, dental, and vision coverage. - 401(k) with company match. - Health savings accounts. - Life insurance and pet insurance. - Potential bonus and company equity compensation. - Salary range: $205,000 — $272,500 USD. Equal Opportunity: The company is committed to diversity, inclusion, and equal employment opportunity and participates in E-Verify.

🏢 Summary: Lead the design and deployment of advanced motion planning and prediction models for Level 4 autonomous vehicles, leveraging machine learning, generative AI, and reinforcement learning. The role focuses on improving safety and performance in complex traffic scenarios while collaborating across perception, simulation, and integration teams. This position combines technical leadership with hands-on development and production deployment on vehicle fleets. 🗂️ Requirements: Master’s or Ph.D. in Computer Science or related technical field or equivalent industry experience, Proven leadership in executing large, complex technical initiatives, Experience designing, developing, and deploying ML solutions for autonomous vehicles or robotics, Experience with deep learning frameworks such as TensorFlow or PyTorch, Fluency in Python and scientific computing libraries, Advanced knowledge of software engineering principles, source control, build processes, code reviews, and testing methods, Strong communication and interpersonal skills 📃 Skills: Python, TensorFlow, PyTorch, C++, CUDA, MachineLearning, DeepLearning, GenerativeAI, ReinforcementLearning, EmbeddedSystems, Optimization 🏢 Description: What You'll Be Doing: - Define and execute motion planning and prediction projects that improve self-driving vehicles' capability to safely, comfortably and legally navigate complex traffic scenarios - Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning - Productionize and deploy solutions onto autonomous vehicle fleets - Collaborate with perception, simulation, data platform and integration teams to validate and enhance on-road performance - Communicate strategies, progress and challenges to executive leadership What We're Looking For: - Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience - Proven leadership skills at executing large, complex technical initiatives - Experience with deep learning frameworks such as TensorFlow or PyTorch - Fluency in Python, including standard scientific computing libraries - Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics - Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods - Excellent communication and interpersonal skills Bonus Points: - Experience with embedded systems and real-time optimization, especially in the autonomous driving industry - Experience with state of the art generative AI and/or reinforcement learning paradigms - Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.) - Strong programming skills in C++ and/or CUDA programming Compensation and Benefits: Salary Range: $240,000—$330,000 USD. The salary range reflects base salary only and may vary based on skills, experience, location, certifications, and business needs. Additional compensation may include bonus or company equity. Eligible positions include participation in a benefits program that includes medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Senior Data Scientist role focused on developing and improving evaluation frameworks, statistical methodologies, and performance metrics for autonomous vehicle systems. The position involves analyzing large-scale simulation and on-road data, validating safety and launch readiness, and collaborating with engineering teams to strengthen autonomous system evaluation. Candidates will work with ML and statistical methods to improve testing coverage, identify edge cases, and support scalable performance validation for robotaxi deployment. 🗂️ Requirements: 5+ years of industry experience with large-scale data analysis, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with statistical analysis and hypothesis testing, Experience applying machine learning methods to large datasets, Ability to develop rigorous data-driven analyses, Experience working independently and driving projects end-to-end, Strong communication skills for technical stakeholder collaboration 📃 Skills: Python, SQL, AWS, ML, Statistics, Transformers, Simulation, Robotics, SOTIF, ISO26262, ISO21448, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. The team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets. The role works closely with stakeholders in autonomy, infrastructure, and operations to build the safety case for the commercial launch of fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling the service and achieving long-term goals. The Senior Data Scientist will lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of the evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. What You'll Be Doing - Lead the development of evaluation frameworks for the autonomous system using rigorous, data-driven approaches. - Collaborate with Functional Safety and Systems Engineering teams to align evaluation metrics with automotive safety standards such as SOTIF and ISO 21448. - Ensure evaluation metrics are reliable enough to inform safety cases and launch readiness decisions. - Monitor the reliability of evaluation metrics and incoming performance data over time, including drift detection and inconsistencies. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop new statistical analysis methods to analyze autonomous vehicle performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Identify edge cases and coverage gaps using fleet and evaluation data. - Build confidence in the evaluation framework through data-driven insights and communication with stakeholders. - Establish correlation between on-road and simulation data. - Analyze large datasets to solve ambiguous performance questions and communicate findings. - Establish self-service evaluation tools for developers. - Develop new metrics, investigate anomalies, and collaborate with developers on performance improvements. - Promote data-aware decision making and best practices. - Mentor engineers and support a collaborative work environment. - Introduce ML methods for performance evaluation where beneficial. What You Bring - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or related quantitative field. - Strong problem-solving skills and logical thinking. - Strong Python and SQL skills with experience using data analysis libraries. - Experience applying advanced statistical and ML methods to large datasets. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects from definition to actionable results. - Strong communication and interpersonal skills. - Willingness to learn and teach new statistical and ML techniques. Bonus Points - Experience with adversarial scenario generation and closed-loop simulation. - Experience in autonomous driving or robotics. - Familiarity with distributed compute and data pipelines such as AWS. - Expertise in Machine Learning and Deep Learning. - Expertise in sequence modeling and probabilistic ML. - Familiarity with automotive safety standards such as ISO 26262 and ISO 21448. Benefits - Hybrid or fully remote work options. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may be available. - Salary range: $149,000–$198,500 USD.

🏢 Summary: Senior Test Manager role responsible for defining and leading end-to-end testing strategies for large-scale logistics and TMS integration programs. The position focuses on integration, migration, regression, and UAT testing across multiple TMS, ERP, EDI, and middleware platforms. It involves managing cross-functional teams, ensuring quality governance, and validating complex logistics workflows and system integrations. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or related field, Fluent English (written and spoken), 15+ years of software testing and QA management experience, 10+ years of experience in logistics or supply chain domain, Proven experience as Test Manager in Road Logistics / TMS implementation and integration projects, Deep knowledge of TMS platforms, Strong experience in system integration testing (TMS–ERP, TMS–Customer, EDI, API), Experience with customer migration and data validation, Experience with middleware and integration layers, Experience with test management and API testing tools, Experience with test automation frameworks, Experience in Agile and Waterfall methodologies 📃 Skills: SAP, Oracle, Kinaxis, BlueYonder, Manhattan, TMS, ERP, EDI, API, MuleSoft, Boomi, SAPPI, SAPPO, Jira, Xray, ALM, TestRail, Postman, ReadyAPI, SQL, RobotFramework, Agile, Waterfall 🏢 Description: Your responsibilities: Test Strategy & Planning Define and implement end-to-end test strategies for large-scale logistics integration programs, covering functional integration, migration, regression, and UAT testing. Collaborate with program and solution architects to understand business processes, system interfaces, and integration flows across multiple TMS platforms. Establish clear entry/exit criteria, quality gates, and risk mitigation plans. Develop a comprehensive test plan aligned with delivery milestones and business readiness. Test Management & Execution Lead and manage cross-functional test teams (internal, vendor, offshore) across multiple projects and geographies. Lead test preparation, execution, and defect management through agile and hybrid delivery models. Ensure full coverage for all integration points (TMS–ERP, TMS–Customer systems, EDI, API, middleware, etc.). Manage data migration validation and reconciliation between legacy and target systems. Domain-Focused Testing Oversee validation of integrations between multiple TMS platforms (e.g., SAP TM, Oracle TMS, Home grown TMS). Lead testing for customer migrations involving data mapping, transformation, and E2E process validation. Ensure compliance with logistics standards, SLAs, and regulatory requirements during testing phases. Validate core functionalities of Transport Management Systems (TMS) such as planning, dispatching, order management, carrier assignment, and invoicing. Perform end-to-end functional, regression, and integration testing of logistics workflows. Test and troubleshoot EDI transactions (e.g., 204, 214, 210, 990) to ensure data accuracy and successful exchange with partners Stakeholder Management Act as the primary quality gatekeeper and liaison between IT, business users, and external partners Support user acceptance testing (UAT) by defining scripts, coordinating execution, and validating sign-off Collaborate with program managers and solution architects to ensure smooth releases and post-implementation stability Quality Governance & Reporting Define and implement quality metrics, dashboards, and progress reports for stakeholders Chair defect triage meetings and drive timely resolution of defects and blockers Enforce quality standards and best practice across testing phases Continuous Improvement Drive process improvements in test automation, data management, and integration validation Leverage industry best practices to optimize testing frameworks for logistics and TMS systems Our requirements: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field Fluency in written and spoken English 15+ years of experience in software testing and QA management, with at least 10+ years in logistics or supply chain domain Proven track record as a Test Manager in Road Logistics / TMS implementation and integration projects Deep understanding of TMS platforms (e.g., Kinaxis, Blue Yonder, SAP TM, Oracle TM, Manhattan, or similar) Strong experience in integration testing between systems (e.g., TMS ↔ ERP, TMS ↔ Customer portals, EDI/API layers) Solid knowledge of customer migration and data validation frameworks Experience working with middleware/integration layers (MuleSoft, Boomi, SAP PI/PO, etc.) Familiarity with testing tools (e.g., Jira, Xray, ALM, TestRail, Postman, ReadyAPI, SQL, TestRail) Experience with test automation tools (preferred: Robot Framework) Strong analytical, problem-solving, and stakeholder management skills Experience in both Agile and Waterfall QA methodologies and delivery models Ability to easily communicate and switch between levels of abstraction depending on the target group and/or product stage Ability to proactively establish and maintain effective working relationships with both internal and cross-functional teams Ability to be a strong team player, as well as the ability to effectively influence technical teams Ability to act accordingly under strong pressure, along with the ability to effectively manage crisis situations Ability to evaluate information, identify key issues, and formulate conclusions based on sound, practical judgment, experience, and common sense Ability to deliver to and successfully manage stakeholder expectations while working in a fast-paced environment with tight deadlines, budgets, and resources Commitment to quality and continuous improvement What we offer Employment based on an employment contract, along with a comprehensive benefits package Training and development programs, as well as access to an e-learning platform Onboarding program with the support of a dedicated Buddy Participation in an annual, company-wide integration event A work environment based on Scandinavian organizational culture Opportunities for growth through our internal program Benefits Sharing the costs of sports activities Private medical care Sharing the costs of foreign language classes Sharing the costs of professional training & courses Life insurance Integration events Corporate gym Corporate sports team Coffee / tea Parking space for employees Extra social benefits Holiday funds Christmas gifts Employee referral program Charity initiatives Bicycle parking Modern and ergonomic office Yoga in the office GIT/RIT/ITM/112395/625

🏢 Summary: Mission-driven coordinator role managing daily operations of a virtual K-12 tutoring program, including scheduling, tutor support, instructional observations, and program communication. The position combines operational management with instructional quality oversight in a fast-paced remote learning environment. Requires education experience, strong organizational skills, and availability for hybrid work in the Greater NYC area. 🗂️ Requirements: 3+ years of professional experience in education, Direct instructional experience in tutoring or teaching, Experience conducting tutor or teacher observations using a rubric, Strong logistical and operational management skills, Ability to manage scheduling, attendance tracking, and roster changes, Strong organizational skills and attention to detail, Effective communication skills with tutors, schools, and staff, Comfort using technology platforms for communication and scheduling, Ability to work Monday-Friday from 7:30am-3:30pm ET, Must live within commuting distance to New York City 📃 Skills: Slack, AirTable, Scheduling, Reporting, Payroll, Tutoring, Teaching, Operations, Communication, Observation 🏢 Description: About GO Tutor Corps The mission of the GO Tutor Corps is to provide students with access to a quality education through high-dosage tutoring. After many years of providing in-person tutoring across the Northeastern US, GO launched a virtual tutoring program in 2025. As our virtual program continues to grow, we are hiring a staff member specifically dedicated to its success. Virtual Tutoring Coordinator Role We are seeking a mission-driven educator and program manager to coordinate the day-to-day operations of our Virtual Tutoring program between 7:30am and 3:30pm ET. The Virtual Tutoring Coordinator will manage key operational aspects of the program each day to help ensure that virtual instruction is high-quality, consistent, and aligned with GO's standards for high-dosage tutoring. The role includes a mix of operational work (scheduling, tutor coverage, roster management), communication with tutors and school leaders (Slack and email), and observing tutoring sessions. Ideal candidates have strong logistical skills and K-12 instructional experience. This role is hands-on, fast-moving, and central to creating a strong experience for both students and tutors in our virtual learning environment. Key Responsibilities Virtual Program Operations & Scheduling (50%) - Manage the daily operational systems of the virtual tutoring program, including scheduling, attendance tracking, and coverage plans. - Generate reports from our virtual tutoring platform to help with data analysis and payroll processing. - Ensure seamless real-time adjustments to schedules based on tutor absences, school needs, or student roster changes. - Serve as the first line of communication for tutors and staff through Slack and other internal systems, including organizing and sending out weekly communication memos. Instructional Support (30%) - Conduct virtual observations of tutors to monitor instructional quality and provide actionable feedback. - Refer tutors for more intensive coaching or improvement plans as needed. - Collect and share best practices with tutors and school partners. - Provide recommendations to refine curriculum materials and engagement strategies. - Partner with school staff and GO colleagues to ensure effective implementation at each partner site. Team Member & Program Contributor (20%) - Participate in virtual and in-person programming to support the program team, including tutor training sessions, walkthrough days, and check-ins. - Attend team meetings, monthly in-person staff meetings, and additional meetings as needed. - Share updates, trends, and needs from the virtual tutoring program with the rest of the organization. - Contribute to continuous improvement efforts to strengthen the virtual tutoring model across our network. Qualifications & Competencies Must Have: - 3+ years of relevant professional experience in education, including direct instructional experience either tutoring or teaching. - Strong logistical and operational management skills; ability to coordinate many moving pieces in real time. - Prior experience using a rubric to conduct observations of tutors or teachers. - Superb organizational skills, attention to detail, reliability, and responsiveness. - Ability to build strong relationships and communicate effectively with tutors, school partners, and other GO staff members. - Comfort using technology platforms for communication, scheduling, and instructional support. - Awareness of and comfort with issues of diversity, specifically around race, class, sexuality, and gender. - Ability to work from 7:30am-3:30pm, Monday-Friday. Nice to Have: - Previous experience with tutoring programs. - Experience supporting virtual instruction or blended-learning environments. - Experience in remote work environments. - Experience using AirTable. Start Date Late August 2026 GO Tutor Corps staff work remotely most days, but you will need to be able to work in-person up to 8 days per month. This includes in-school support of our virtual tutoring program, monthly in-person staff meetings and additional in-person collaboration. The GO Tutor Corps covers the cost of work-related travel. Compensation Starting annual salary for this role is $80,000-$85,000, depending on experience. Benefits - Unlimited Paid Time Off - 403B - Flexible spending account - Health insurance - Vision insurance - Dental insurance - Health savings account - Life insurance - Parental Leave - Up to $500 for remote workspace setup - GO Thrive: Up to $1000 annually for personal development

🏢 Summary: Mission-driven coordinator role managing daily operations of a virtual K-12 tutoring program, including scheduling, tutor support, instructional observations, and communication with schools and staff. The position combines operational management with instructional quality oversight in a fast-paced remote learning environment. Candidates must have education experience, strong organizational skills, and live within commuting distance of New York City. 🗂️ Requirements: 3+ years of professional experience in education, Direct instructional experience in tutoring or teaching, Experience conducting tutor or teacher observations using a rubric, Strong logistical and operational management skills, Ability to coordinate schedules and operational changes in real time, Strong organizational skills and attention to detail, Effective communication skills with tutors, school partners, and staff, Comfort using technology platforms for communication and scheduling, Ability to work 7:30am–3:30pm Monday–Friday, Must live within commuting distance to New York City or Northern New Jersey 📃 Skills: Slack, AirTable, Scheduling, Reporting, Payroll, Tutoring, Teaching, Observation, Operations, Communication 🏢 Description: About GO Tutor Corps The mission of the GO Tutor Corps is to provide students with access to a quality education through high-dosage tutoring. After many years of providing in-person tutoring across the Northeastern US, GO launched a virtual tutoring program in 2025. As our virtual program continues to grow, we are hiring a staff member specifically dedicated to its success. Virtual Tutoring Coordinator Role We are seeking a mission-driven educator and program manager to coordinate the day-to-day operations of our Virtual Tutoring program between 7:30am and 3:30pm ET. The Virtual Tutoring Coordinator will manage key operational aspects of the program each day to help ensure that virtual instruction is high-quality, consistent, and aligned with GO's standards for high-dosage tutoring. The role includes a mix of operational work (scheduling, tutor coverage, roster management), communication with tutors and school leaders (Slack and email), and observing tutoring sessions. Ideal candidates have strong logistical skills and K-12 instructional experience. This role is hands-on, fast-moving, and central to creating a strong experience for both students and tutors in our virtual learning environment. Key Responsibilities Virtual Program Operations & Scheduling (50%) - Manage the daily operational systems of the virtual tutoring program, including scheduling, attendance tracking, and coverage plans. - Generate reports from our virtual tutoring platform to help with data analysis and payroll processing. - Ensure seamless real-time adjustments to schedules based on tutor absences, school needs, or student roster changes. - Serve as the first line of communication for tutors and staff through Slack and other internal systems, including organizing and sending out weekly communication memos. Instructional Support (30%) - Conduct virtual observations of tutors to monitor instructional quality and provide actionable feedback. - Refer tutors for more intensive coaching or improvement plans as needed. - Collect and share best practices with tutors and school partners. - Provide recommendations to refine curriculum materials and engagement strategies. - Partner with school staff and GO colleagues to ensure effective implementation at each partner site. Team Member & Program Contributor (20%) - Participate in virtual and in-person programming to support the program team, including tutor training sessions, walkthrough days, and check-ins. - Attend team meetings, monthly in-person staff meetings, and additional meetings as needed. - Share updates, trends, and needs from the virtual tutoring program with the rest of the organization. - Contribute to continuous improvement efforts to strengthen the virtual tutoring model across our network. Qualifications & Competencies Must Have: - 3+ years of relevant professional experience in education, including direct instructional experience either tutoring or teaching. - Strong logistical and operational management skills; ability to coordinate many moving pieces in real time. - Prior experience using a rubric to conduct observations of tutors or teachers. - Superb organizational skills, attention to detail, reliability, and responsiveness. - Ability to build strong relationships and communicate effectively with tutors, school partners, and other staff members. - Comfort using technology platforms for communication, scheduling, and instructional support. - Awareness of and comfort with issues of diversity, specifically around race, class, sexuality, and gender; ability to engage in and facilitate conversations about equity and inclusion. - Ability to work from 7:30am-3:30pm, Monday-Friday. - Must live within commutable distance to New York City. Nice to Have: - Previous experience with tutoring programs. - Experience supporting virtual instruction or blended-learning environments. - Experience in remote work environments. - Experience using AirTable. Start Date Late August 2026 GO Tutor Corps staff work remotely most days, but you will need to be able to work in-person up to 8 days per month. This includes in-school support of our virtual tutoring program, monthly in-person staff meetings and additional in-person collaboration. The GO Tutor Corps covers the cost of work-related travel. Compensation Starting annual salary for this role is $80,000-$85,000, depending on experience. Benefits - Unlimited Paid Time Off - 403B - Flexible spending account - Health insurance - Vision insurance - Dental insurance - Health savings account - Life insurance - Parental Leave - Up to $500 for remote workspace setup - GO Thrive: Up to $1000 annually for personal development