Continental

QA Engineer

• Able to classify and inspect tires according to QMD standards.
• Notify appropriate personnel of scrap tires that repeat.
• Perform various audits, including, but not limited to dirty mold audit, serial audit.
• Will be cross-trained to perform all QA technician inspection jobs.
• Must be able to lift tires for the duration of the shift and place them on the appropriate pallets and conveyors.
• Follow all plant rules, departmental safety policies, environmental policies, and chemical handling procedures.
• Perform all work necessary to obtain quality production.
• Perform other duties as directed by the QA Supervisor, Chief Inspector or QA Manager.
• Ensure all ESH procedures, policies and legal requirements are implemented and monitored.

PLT QA Tech III – Classifier

Outside Sales

• Retain and grow existing accounts and solicit new business by executing our sales strategy
• Build a strong and trusting relationship with our customers in territory during regular site visits and sales calls
• Develop and maintain sales activity at key regional fleets and dealers
• Motivate our customers by offering high performance products, technology solutions as well as your product expertise
• Own the launch process of our new products and services for successful integration into our product line
• Monitor progress and adjust strategy by conducting market analysis and article forecasting
• Resolve operational and administrative issues, respond internal and external inquiries, and prepare routine and special reports as required by management

Territory Sales Manager – Truck Tire

Data Engineer

• Design, develop, and operate scalable and maintainable data pipelines in the Azure Databricks environment
• Develop all technical artefacts as code, implemented in professional IDEs, with full version control and CI/CD automation
• Enable data-driven decision-making in Supply Chain Management (SCM) by ensuring high data availability, quality, and reliability
• Implement data products and analytical assets using software engineering principles in close alignment with business domains and functional IT
• Apply rigorous software engineering practices such as modular design, test-driven development, and artifact reuse in all implementations
• Global delivery footprint; cross-functional data engineering support across SCM domains
• Collaboration with business stakeholders, functional IT partners, product owners, architects, ML/AI engineers, and Power BI developers
• Agile, product-team structure embedded in an enterprise-scale Azure environment
• Design scalable batch and streaming pipelines in Azure Databricks using PySpark and/or Scala
• Implement ingestion from structured and semi-structured sources (e.g., SAP, APIs, flat files)
• Build bronze/silver/gold data layers following the defined lakehouse layering architecture & governance
• Implement use-case driven dimensional models (star/snowflake schema) tailored to SCM needs
• Ensure compatibility with reporting tools (e.g., Power BI) via curated data marts and semantic models
• Implement enterprise-level data warehouse models (domain-driven 3NF models) for SCM data, closely aligned with data engineers for other business domains
• Develop and apply master data management strategies (e.g., Slowly Changing Dimensions)
• Develop automated data validation tests using frameworks
• Monitor pipeline health, identify anomalies, and implement quality thresholds
• Establish data quality transparency by defining and implementing meaningful data quality rules with source system and business stakeholders and implementing related reports
• Develop and structure pipelines using modular, reusable code in a professional IDE
• Apply test-driven development (TDD) principles with automated unit, integration, and validation tests
• Integrate tests into CI/CD pipelines to enable fail-fast deployment strategies
• Commit all artifacts to version control with peer review and CI/CD integration
• Work closely with Product Owners to refine user stories and define acceptance criteria
• Translate business requirements into data contracts and technical specifications
• Participate in agile events such as sprint planning, reviews, and retrospectives
• Document pipeline logic, data contracts, and technical decisions in markdown or auto-generated docs from code
• Align designs with governance and metadata standards (e.g., Unity Catalog)
• Track lineage and audit trails through integrated tooling
• Profile and tune data transformation performance
• Reduce job execution times and optimize cluster resource usage
• Refactor legacy pipelines or inefficient transformations to improve scalability

IT Engineer, Data Lakehouse

Payroll

• Enter employee payroll data into payroll systems, including new hires, transfers, pay rate changes, deductions, and other payroll-related transactions.
• Review timesheets, attendance records, and supporting documentation for completeness and accuracy before payroll processing.
• Follow established payroll procedures to support timely and accurate payroll processing for hourly and salaried employees.
• Process standard payroll adjustments, deductions, and updates based on approved documentation.
• Assist with the administration of union dues, garnishments, direct deposits, and other payroll-related deductions.
• Reconcile routine payroll reports and identify data entry errors or discrepancies for review by Payroll leadership.
• Generate and distribute standard payroll reports, earnings statements, and other payroll documentation.
• Respond to routine employee payroll inquiries and direct more complex issues as needed.
• Maintain confidentiality of employee payroll and compensation information.
• Adhere to company policies, payroll procedures, union agreements, and applicable federal, state, and local regulations.
• Performs other related duties as assigned.

Associate Payroll Specialist

Solutions Engineer

• Act as consultant to Conti Life Cycle (CLC) Partner for pre-install consulting and Partner approval
• Work with CLC Partner's contractors and suppliers to maintain production schedule upon installation
• Advise on plant installation requirements, like power, electricity, compressors, transformers, etc.
• Partner on PMP for equipment and parts
• Support CLC partners with equipment operation, process execution and maintenance training
• Develop and implement the retreading quality process
• Responsible for providing technical assistance to all Digital Solutions products with customers (Fleets and Dealers)
• Help with installations, demonstrations and training
• Look for all government requirements concerning equipment installation in each territory and inform Conti- Life Cycle (CLC) partners
• Consult on the equipment design, layout and installation to have the optimum retreading operation
• Implement and train on all tracking systems of each retreading tire into the retreading shop and all statistical information for all retreading process to make plans to improve their operations
• Support CLC partners to train their plant personnel
• Teach them how to use the equipment, tools, material in every step of the retreading process and maintain the equipment
• Provide technical assistance to machine and process related problems
• Ensure that every equipment manual is available. They contain the equipment spare parts needed, set ups, maintenance checks, etc.
• Evaluate every single step of the retreading process using the MER tool
• Evaluate the equipment accuracy, conduct thermocouple tests and final finishing tire evaluations
• Responsible for providing technical assistance primarily to all Digital Solutions products with customers (Fleets and Dealers)

Technical Solutions Field Specialist

• Act as consultant to Conti Life Cycle (CLC) Partner for pre-install consulting and Partner approval.
• Work with CLC Partner's contractors and suppliers to maintain production schedule upon installation.
• Advise on plant installation requirements, like power, electricity, compressors, transformers, etc..

Retread, Technical Solutions Field Specialist

• Design, build, and maintain scalable cloud-native data pipelines—including ETL/ELT, event-driven, and serverless patterns using Azure Functions and related services—that ingest, transform, and load data from Continental’s diverse source systems including ERP, POS, HRIS, and finance platforms into a centralized lake or data warehouse.
• Develop and maintain data models within Microsoft Fabric and Azure that support analytics, business intelligence, and emerging AI use cases, ensuring data is structured for both performance and usability.
• Integrate data from disparate systems across Continental’s business units into a unified enterprise data model, resolving inconsistencies and establishing a single source of truth for key business metrics.
• Implement and enforce data quality, validation, and monitoring practices that ensure downstream consumers—analysts, dashboards, and AI models—can trust the data they are working with.
• Collaborate closely with the Business Analyst and IT AI & Data Manager to understand reporting and analytics requirements, translating them into efficient, well-documented data solutions.
• Design and implement AI-augmented data engineering solutions—including AI agents, automated data quality processes, and intelligent pipeline components—that drive efficiency across Continental’s data platform. This is not a support role for AI; we’re looking for someone who can actively build and deploy AI-driven capabilities within the data engineering workflow.
• Build and optimize semantic models and datasets that power PowerBI dashboards and reports, working with analysts to ensure visualizations are backed by performant, accurate data.
• Contribute to data governance efforts by maintaining data dictionaries, pipeline documentation, and lineage tracking so the team can understand, trust, and build on the work being done.
• Monitor pipeline health, troubleshoot data failures, and proactively address issues before they impact reporting or downstream business processes.
• Stay current on developments in cloud data engineering, AI tooling, and the Microsoft data ecosystem, bringing new ideas and approaches to the team as the platform continues to mature.
• Support M&A and new business onboarding by connecting new source systems into existing pipelines and data models with minimal disruption to existing operations.

Business Analyst

• Own requirements gathering end-to-end—partnering with operational, finance, HR, culinary, and other business leaders to elicit, document, and prioritize business needs, then translating them into structured functional specifications that data engineers, product managers, and IT teams can execute against with confidence.
• Support Continental’s enterprise data platform by producing source-to-target mappings, documenting transformation logic, and defining business rules that the data engineering team needs to build accurate, reliable data pipelines across our ERP, POS, HRIS, and finance systems.
• Establish and own Continental’s business analysis framework—designing the standards, templates, intake workflows, and documentation practices that define how requirements are gathered and managed across IT projects. Build this practice with future scale in mind, so that as additional Business Analysts are onboarded, a repeatable, well-documented process is already in place.
• Lead user acceptance testing (UAT) for new systems, integrations, and data solutions—developing test plans, coordinating business users, and ensuring solutions meet requirements before go-live.
• Document and standardize business processes, data definitions, and KPIs to support Continental’s data governance goals and enable consistent reporting across business units.
• Proactively identify process inefficiencies and data quality issues across systems, championing improvements that reduce manual work, increase accuracy, and unlock new analytical capabilities for the business.
• Support new business onboarding and M&A integration efforts by documenting existing processes, mapping data sources, and helping accelerate time-to-value for acquired entities.
• Serve as a subject matter expert on Continental’s data landscape and business systems, mentoring colleagues and helping build data literacy across the organization.
• Manage multiple active workstreams simultaneously maintaining visibility into requirements status, open questions, and decision logs across projects, and proactively communicating progress, blockers, and risks to IT leadership and business stakeholders.

Sales

• Define, implement, and relentlessly pursue a high-impact sales plan for markets, products, and industries within the region.
• Set and achieve challenging margin and growth targets, driving commercial excellence and market penetration.
• Lead by example in customer acquisition, retention, and satisfaction, building robust relationships with key accounts and stakeholders.
• Analyze sales performance, market trends, and competitive dynamics to anticipate risks and seize opportunities.
• Develop and execute forward-thinking tactical and strategic plans aligned with segment growth objectives.
• Identify and capitalize on emerging market trends, disruptive technologies, and new product opportunities.
• Present actionable business strategies and results to executive leadership, ensuring alignment and buy-in.
• Uphold the highest standards of quality, technical compliance, and customer care.
• Represent the segment externally, strengthening relationships with customers, authorities, and industry partners.

Sales Manager – Pool Applications

• Create and implement strategy to secure new contracts and partnerships with fleet operators
• Identify, prioritize and win large national fleet business
• Negotiate at director level with large national fleets
• Maximize profitability generation in line with forecasts
• Implement strategies and generate sales relating to data analytics and integrated solutions
• Plan and maintain efficient customer reviews and record in company CRM system

National Fleet Key Account Sales Manager

Events

• Review system generated reports to identify discrepancies in inventory.
• Review videos to observe customer and associate behavior.
• Identify and document incidents of theft or suspected theft.
• Prepare detailed reports for review with management and clients regarding incidents.
• Attend off-site client meetings to present findings and interview customers/associates suspected of theft.
• Work with various stakeholders and authorities to achieve resolution.
• Additional responsibilities as assigned by management.

PLT QA Tech III – Classifier

Territory Sales Manager – Truck Tire

Territory Sales Manager – Truck Tire

Territory Sales Manager – Truck Tire

Territory Sales Manager – Truck Tire

IT Engineer, Data Lakehouse

Associate Payroll Specialist

Technical Solutions Field Specialist

Retread, Technical Solutions Field Specialist

Data Engineer

Business Analyst

Sales Manager – Pool Applications

Sales Manager – Pool Applications

National Fleet Key Account Sales Manager

Loss Prevention Associate