Senior Manager, Quality (IQC/SQE)

🏢 Summary: Technical leadership role focused on designing, developing, and deploying object detection and tracking algorithms for humanoid robots operating in real-world logistics and manufacturing environments. The position owns the perception architecture and drives state-of-the-art machine learning models for multi-object detection, scene understanding, and 6-DoF pose estimation in production systems. It involves optimizing deep learning models for embedded hardware and collaborating cross-functionally to deliver scalable, high-quality perception software. 🗂️ Requirements: 5+ years deploying machine learning-based object detection on mobile robots, 2+ years in a technical leadership role, Experience with deep convolutional neural networks, Experience with multi-object tracking and data association, Experience with supervised learning and 6-DoF pose estimation, Strong foundation in linear algebra and numerical optimization, Knowledge of geometric concepts in computer vision, Proficiency with PyTorch, OpenCV, NumPy or similar libraries, Experience optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, storage, evaluation, and deployment 📃 Skills: PyTorch, OpenCV, NumPy, CNN, Tracking, Pose, MLOps, GPU, CPU, LinearAlgebra, Optimization, Robotics, ComputerVision, MachineLearning, Embedded 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Staff Machine Learning Engineer role focused on leading the design and deployment of object perception systems for humanoid robots in production environments. The position centers on developing and optimizing multi-object detection, tracking, and 6-DoF pose estimation algorithms for real-world logistics and manufacturing applications. It involves technical leadership, architecture ownership, and efficient deployment on embedded robotic platforms. 🗂️ Requirements: 5+ years deploying machine learning-based object detection algorithms on mobile robots, At least 2 years of experience in a technical leadership role, Strong expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation, Strong mathematical foundations in linear algebra and numerical optimization, Familiarity with geometric concepts in computer vision, Experience designing and optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, data storage, model evaluation, and model deployment, Familiarity with common computer vision and machine learning libraries, Publications in computer vision or robotics conferences (CVPR, ICCV, RSS, ICRA preferred) 📃 Skills: Python, PyTorch, OpenCV, NumPy, CUDA, CPU, GPU, YOLO, FasterRCNN, MaskRCNN, MLOps, CNN, SLAM 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Software Engineer III role focused on building and scaling a cloud-based data platform for fleet-scale humanoid robotics, enabling ingestion, synchronization, and processing of multimodal robot data for analytics and ML training. The position involves developing distributed data pipelines, edge ingestion agents, and observability systems to support high-volume sensor, video, and telemetry data. This role emphasizes big data technologies, cloud infrastructure, and real-time data processing for robotics applications. 🗂️ Requirements: 3-5 years experience building and scaling cloud-based data platforms, Experience with AWS, GCP, or Azure, Proficiency in big data frameworks such as Spark, Kafka, Beam, or Flink, Familiarity with data formats like Parquet, Arrow, Iceberg, Avro, Protobuf, Experience with observability tools and implementing metrics, tracing, logging systems, Strong proficiency in Python, Proficiency in Java or Scala, Experience with microservices architecture, Experience handling unstructured and structured data integration 📃 Skills: Python, Java, Scala, Spark, Kafka, Beam, Flink, AWS, GCP, Azure, Parquet, Arrow, Iceberg, Avro, Protobuf, OpenTelemetry, Prometheus, MCAP, ROS, Kubernetes, C++, Rust, S3, Athena, Sagemaker, Fluentbit 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.About The Role Join the team building the data backbone for fleet-scale humanoid robotics. As a Software Engineer III on our Data Platform team, you will implement and scale the infrastructure required to ingest, process, and synchronize massive datasets from our robots. You will focus on the technical challenges of handling multimodal log data—ensuring that high-frequency sensor data, video feeds, and telemetry are perfectly aligned for playback and ML training. Key Responsibilities Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software Multimodal Data Integration: Develop systems to handle complex multimodal logs, ensuring precise synchronization between video, audio, IMU, and joint-state data for downstream analysis and robot "black box" reconstruction/playback. Edge Data Agents: Contribute to the development of data ingestion agents running on-robot to manage high-volume data throughput in variable connectivity environments. Data Optimization: Implement and optimize data formats (e.g., MCAP, Parquet) specifically tuned for the storage and rapid querying of rich multimodal robotics recordings. Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations. Distributed Processing: Use Spark, Kafka, or Flink to transform raw robot data into structured datasets ready for business intelligence and long-horizon fleet analytics. Stakeholder Collaboration: Work closely with AI and Hardware teams to ensure data tools meet the needs of those training the next generation of humanoid models. Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc. Required Qualifications 3-5 years of experience building and scaling cloud-based data platforms(AWS, GCP, or Azure). Big Data Tech: Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc Data Formats: Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf. Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems Strong proficiency in Python and at least one JVM language (Java or Scala), with experience in microservices. Proven experience handling diverse data types—specifically combining unstructured data (logs/video) with structured telemetry Bonus Qualifications Robotics/AV Background: Experience with robot-specific data formats (MCAP, ROS bags) and visualization tools like Foxglove or RVIZ. Sensor Fusion: Understanding of time-sync challenges in multimodal data (e.g., PTP/NTP synchronization across sensors). Infrastructure: Experience with Kubernetes and containerized deployment patterns. Systems Programming: Familiarity with C++ or Rust for high-performance data handling at the edge. IoT Knowledge: Experience with edge computing, Greengrass, or managing data from embedded devices. This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$144,000—$224,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Staff Software Engineer role focused on architecting and building production-grade teleoperation systems for humanoid robots, enabling complex whole-body manipulation in real-world environments. The position involves designing low-latency, scalable interfaces and control pipelines that integrate AI, hardware, and real-time systems to support large-scale human demonstration data collection. This role directly contributes to scaling a production humanoid robot fleet through robust, high-performance software systems. 🗂️ Requirements: 8+ years of experience in robotics or real-time systems, Proven experience delivering production-quality software, Deep understanding of real-time control systems, Strong knowledge of motion retargeting and rigid body dynamics, Experience designing low-latency communication and streaming systems, Ability to debug performance issues across software, networking, and hardware, Hands-on experience with VR, motion capture, or other human input systems, Strong analytical and performance validation skills, Authorization to work in the United States 📃 Skills: Robotics, Teleoperation, Real-time, Control, Streaming, Networking, VR, MotionCapture, XR, Unity, Unreal, Godot, SteamVR, OpenXR, Rendering, Simulation, RigidBodyDynamics, MotionRetargeting, NeRF, GaussianSplatting 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.About The Role As a Staff Software Engineer on the AI team, you will architect and build production-quality teleoperation systems that enable Digit to execute complex whole-body manipulation tasks in real-world environments. You will work closely with AI, controls, hardware, and operations teams to create a scalable platform for high-quality human demonstration data collection. Your work will directly enable our ability to scale up the world's first production humanoid robot fleet and revolutionize the labor market. About The Work Own the end-to-end architecture of the teleoperation system, from operator input through real-time robot execution, ensuring low latency, predictable behavior, and clear system boundaries Integrate and optimize real-time control, streaming, and communication paths to meet measurable latency and bandwidth targets Design and implement scalable teleoperation interfaces, including VR, motion capture, and other modalities, to enable high-quality manipulation and locomotion demonstrations Develop comprehensive validation strategies in simulation and on hardware, including performance benchmarks, fault handling, and regression testing Analyze teleoperation and demonstration data to improve operator efficiency, system responsiveness, and task success rates Anticipate future robot hardware and sensor changes, and design systems that can adapt to new interfaces and capabilities with minimal architectural disruption About You 8+ years of experience in robotics or real-time systems, with a demonstrated track record of delivering reliable, production-quality software Deep understanding of real-time control systems, motion retargeting, and rigid body dynamics Experience designing low-latency communication and streaming systems for real-time applications Strong systems intuition with the ability to trace performance issues across software, networking, and hardware boundaries Strong analytical and debugging skills, with a data-driven approach to performance validation and system reliability Hands-on experience integrating human input systems such as VR, motion capture, wearable devices, or other operator interfaces Excellent communication skills and the ability to collaborate effectively across AI, controls, hardware, and operations teams Bonus Qualifications Experience building applications with real-time rendering or XR frameworks such as Unity, Unreal, Godot, SteamVR, or OpenXR Experience with advanced 3D visualization techniques such as neural radiance fields, Gaussian splatting, or other scene reconstruction methods Familiarity with large-scale data collection pipelines for learning from demonstration This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$190,000—$296,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Staff Software Engineer role focused on architecting and building production-grade teleoperation systems for humanoid robots, enabling complex whole-body manipulation in real-world environments. The position involves developing low-latency real-time control, communication, and operator interface systems while collaborating across AI, controls, hardware, and operations teams. This hybrid U.S.-based role includes competitive compensation, equity, benefits, and opportunities to shape scalable humanoid robotics deployments. 🗂️ Requirements: 8+ years experience in robotics or real-time systems, Experience delivering production-quality software, Deep understanding of real-time control systems, Knowledge of motion retargeting, Knowledge of rigid body dynamics, Experience designing low-latency communication systems, Experience with real-time streaming systems, Strong debugging and analytical skills, Experience integrating VR or motion capture input systems, Ability to collaborate across technical teams, Current authorization to work in the United States 📃 Skills: Robotics, Teleoperation, VR, MotionCapture, XR, Unity, Unreal, Godot, SteamVR, OpenXR, Networking, Streaming, Simulation, Debugging, Rendering, Visualization, NeRF, GaussianSplatting 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About The Role As a Staff Software Engineer on the AI team, you will architect and build production-quality teleoperation systems that enable Digit to execute complex whole-body manipulation tasks in real-world environments. You will work closely with AI, controls, hardware, and operations teams to create a scalable platform for high-quality human demonstration data collection. Your work will directly enable the scaling of a production humanoid robot fleet. About The Work - Own the end-to-end architecture of the teleoperation system, from operator input through real-time robot execution, ensuring low latency, predictable behavior, and clear system boundaries - Integrate and optimize real-time control, streaming, and communication paths to meet measurable latency and bandwidth targets - Design and implement scalable teleoperation interfaces, including VR, motion capture, and other modalities, to enable high-quality manipulation and locomotion demonstrations - Develop comprehensive validation strategies in simulation and on hardware, including performance benchmarks, fault handling, and regression testing - Analyze teleoperation and demonstration data to improve operator efficiency, system responsiveness, and task success rates - Anticipate future robot hardware and sensor changes, and design systems that can adapt to new interfaces and capabilities with minimal architectural disruption About You - 8+ years of experience in robotics or real-time systems, with a demonstrated track record of delivering reliable, production-quality software - Deep understanding of real-time control systems, motion retargeting, and rigid body dynamics - Experience designing low-latency communication and streaming systems for real-time applications - Strong systems intuition with the ability to trace performance issues across software, networking, and hardware boundaries - Strong analytical and debugging skills, with a data-driven approach to performance validation and system reliability - Hands-on experience integrating human input systems such as VR, motion capture, wearable devices, or other operator interfaces - Excellent communication skills and the ability to collaborate effectively across AI, controls, hardware, and operations teams Bonus Qualifications - Experience building applications with real-time rendering or XR frameworks such as Unity, Unreal, Godot, SteamVR, or OpenXR - Experience with advanced 3D visualization techniques such as neural radiance fields, Gaussian splatting, or other scene reconstruction methods - Familiarity with large-scale data collection pipelines for learning from demonstration This is a hybrid position based out of one of the Salem, Pittsburgh, or Fremont offices. Anticipated Salary Range $222,000—$346,000 USD In addition to base pay, the total rewards package consists of the following for full-time employees: - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees - Benefits eligibility starting on the first day of employment - Employee Assistance Program (EAP) - Flexible unlimited PTO and 12 company holidays for exempt employees - Vacation days, paid sick leave, and holidays for non-exempt employees - Catered lunches and snacks at Salem and Pittsburgh locations - Generous paid parental leave programs - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles Applicants must have current authorization to work in the United States. Agility Robotics is committed to equal employment opportunity and maintaining a professional work environment free from discrimination and harassment.

🏢 Summary: Staff NPI Manufacturing Engineer responsible for leading the transition of electromechanical products from prototype through pilot builds into scaled production. The role drives manufacturability, quality, and testability across subassemblies while partnering cross-functionally to ensure successful production launches. Focus areas include DFM/DFA/DFT, process validation, yield improvement, and supply chain readiness in NPI environments. 🗂️ Requirements: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or related field, 7+ years of relevant engineering experience, 5+ years in manufacturing assembly for electromechanical or embedded systems, Hands-on experience in NPI environments on the manufacturing floor, Experience transitioning products from development through PVT to end of life, Experience with manufacturing test requirements and test stand development, Knowledge of FMEA, ECO processes, and PLM systems, Experience supporting EMS/CM partners and supply chain readiness, Authorization to work in the United States 📃 Skills: DFM, DFA, DFT, SPC, Lean, SixSigma, FMEA, ECO, PLM, Altium, Creo, HALT, PVT, EVT, DVT 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About the Role We're looking for a Staff NPI Manufacturing Engineer to lead the transition of innovative, electromechanical designs from prototype through pilot builds into scaled production. This role focuses on new product introduction (NPI) and is critical in ensuring manufacturability, quality, and testability across electromechanical subsystems and sub-assemblies including hardware, sensors, actuators, cables, and integration modules. This is a highly cross-functional role, partnering with electrical and mechanical design, test engineering, quality, and supply chain—along with EMS and mechanical suppliers—to ensure rapid, repeatable, and high-quality production launches. About the Work - Lead NPI activities across multiple product lines, managing the transition from design to production for various electromechanical subassemblies. - Own DFM/DFA/DFT efforts during early design phases to influence product architecture and ensure manufacturing scalability. - Develop and release work instructions, BOMs, process flows, test procedures, and fixture/tooling designs across prototype and pilot builds. - Drive build readiness, supporting Proto/EVT/DVT/PVT activities including line bring-up, process validation, and pilot build execution. - Troubleshoot and resolve issues at the sub-system and system level, conducting structured root cause analysis for mechanical or electrical issues. - Partner with EMS providers and component suppliers to drive first-pass yield, throughput, and process capability. - Support yield improvements and cost reduction through data analysis and process optimization using SPC, lean, and 6 sigma tools. - Contribute to environmental, reliability, and lifecycle testing plans and setups (e.g., burn-in, thermal cycling, HALT). - Develop, review, and release manufacturing specifications, drawings, BOMs, processes, SOPs, equipment, workflows, and tools/fixtures for new products to support high-quality production. - Collaborate with suppliers and contract manufacturers to ensure effective qualification, process capabilities, and material disposition. - Document processes clearly and communicate effectively across teams. About You - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or a related field, with 7+ years of relevant experience. - 5+ years in manufacturing assembly for electromechanical or embedded systems products; experience in NPI environments directly working on the manufacturing floor is highly preferred. - Hands-on experience in supporting and troubleshooting the design, assembly, and testing of electro-mechanical systems utilizing data analysis and lean methods. - Experience in transitioning products and processes from development to production (NPI), including into Production Validation Testing (PVT) through to end of life (EOL). - Familiarity with creating manufacturing test requirements, test stand equipment development, validation testing, Engineering Change Order (ECO) production release, and training engineers, production staff, and suppliers/CMs. - Proficiency with Altium and/or Creo is a significant plus, along with mechanical design knowledge to create and release test fixtures. - Experience supporting EMS/CM partners and driving supply chain readiness. - Working knowledge of FMEA, ECO processes, PLM systems, and design validation best practices. - Excellent communication, technical documentation, and collaboration skills. Benefits Anticipated Base Salary Range: $144,000—$186,000 USD In addition to base pay, the competitive total rewards package for full-time employees includes: - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance - Benefits eligibility from first day of employment - Employee Assistance Program (EAP) - Flexible, unlimited PTO for exempt employees or 10 vacation days plus paid sick leave for non-exempt employees - 12 company holidays including a winter shutdown - Catered lunches and on-site snacks - Generous paid parental leave - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles All roles are U.S.-based. Applicants must have current authorization to work in the United States.

🏢 Summary: Senior QA Automation Engineer responsible for defining and executing quality strategy for serverless middleware services on AWS, supporting ordering, loyalty, payments, and third-party integrations. The role focuses on building automated API test frameworks, validating event-driven architectures, performing performance testing, and integrating quality gates into CI/CD pipelines. It requires strong backend testing experience and active use of AI-assisted tools in daily quality engineering work. 🗂️ Requirements: 4+ years of quality engineering or software engineering focused on backend API testing, Experience designing automated test suites for REST APIs in distributed or microservices environments, Hands-on experience with performance and load testing, Proficiency in JavaScript, TypeScript, Java, or Python, Working knowledge of AWS serverless services (Lambda, API Gateway, DynamoDB, SQS/SNS), Experience integrating automated tests into CI/CD pipelines (Azure DevOps or GitHub Actions), Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent), Familiarity with contract testing and consumer-driven contracts, Experience validating asynchronous systems, Strong scripting skills, Upper-intermediate English level 📃 Skills: JavaScript, TypeScript, Java, Python, AWS, Lambda, APIGateway, DynamoDB, SQS, SNS, REST, CI/CD, AzureDevOps, GitHubActions, GitHubCopilot, Claude, ContractTesting, Microservices, PerformanceTesting, LoadTesting, Scripting 🏢 Description: ID72456 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior QA Automation Engineer to own quality strategy for serverless middleware services powering ordering, loyalty, payments, and third-party integrations across a major consumer platform. You will design and maintain automated test suites for RESTful APIs and event-driven architectures on AWS, execute performance and load testing, validate partner integrations including delivery and payment platforms, and integrate quality gates into CI/CD pipelines using Azure DevOps and GitHub Actions. The role expects active use of AI-assisted tools as a core part of daily quality engineering work. What you will do Build automated test frameworks for serverless applications; Validate event-driven workflows and asynchronous messaging; Execute performance and load testing; Validate resiliency and failure scenarios; Design, build, and maintain automated test suites covering functional, integration, and contract testing for middleware APIs and services ensuring correct behavior in isolation and across dependencies; Leverage AI-assisted tools for test case generation, synthetic data creation, failure analysis, and coverage documentation; Own performance and reliability validation including load, stress, spike, and soak testing, establishing baselines and identifying bottlenecks; Partner with engineers throughout the development cycle to align on test strategy, acceptance criteria, and CI/CD integration via Azure DevOps or GitHub Actions; Validate third-party integrations through contract testing, sandbox/staging validation, and failure mode analysis; Track and report quality metrics, maintain documentation, and contribute to incident post-mortems. Must haves 4+ years of quality engineering or software engineering experience focused on backend API testing; Experience designing automated test suites for REST APIs in distributed or microservices environments; Hands-on experience with performance and load testing; Proficiency in JavaScript/TypeScript , Java , or Python ; Working knowledge of AWS serverless services (Lambda, API Gateway, DynamoDB, SQS/SNS); Experience integrating automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions); Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent); Familiarity with contract testing approaches and consumer-driven contracts; Strong analytical and root-cause analysis skills, including distinguishing flaky tests from real defects; Experience validating asynchronous systems; Strong scripting skills; Clear communication and ability to translate test findings into engineering priorities; Collaborative approach to working within engineering sprints; Upper-intermediate English level. Nice to haves Experience with k6, Gatling, JMeter, or similar performance testing tools; Postman/Newman experience; Familiarity with Pact or other contract testing tools; Cognito authentication testing experience; Delivery and payment integration testing experience; Experience with DoorDash, Uber Eats, or similar marketplace APIs; Chaos engineering and fault injection (AWS FIS or similar); Observability tooling experience (Dynatrace, Datadog, CloudWatch); Multi-region AWS testing and failover/latency validation; Background in QSR, retail, or e-commerce domains; AWS Certified Developer – Associate or higher. The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior QA Engineer role focused on manual and automation testing of web applications, including validation of AI-generated test cases and LLM outputs. The position involves API testing, cross-browser UI testing, CI/CD collaboration, and contributing to an existing automation framework within Agile teams. It is suited for an experienced tester strengthening automation skills while working with AI-driven tools and modern QA practices. 🗂️ Requirements: 4+ years of software testing experience, Strong manual and automation testing knowledge, Understanding of SDLC and STLC models, Knowledge of testing and QA processes, Experience with test design techniques, Defect analysis and reporting skills, Experience with Postman for API testing, Experience with browser developer tools, Experience with UI testing, Experience with TestRail for test management, Basic understanding of CI/CD processes, Intermediate level of English 📃 Skills: TestRail, Postman, JIRA, Jenkins, CI/CD, SDLC, STLC, API, UI, LLM, Claude, GitHub, Copilot, OpenAI, Azure, LangChain 🏢 Description: ID66279 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior QA Engineer to perform manual and automation testing of web applications, validate AI-generated test cases and LLM outputs, and contribute automation scripts to a stable existing framework under the guidance of a dedicated Automation Lead. You will design and execute test plans in TestRail, conduct API testing with Postman, document defects in Jira, and collaborate across Agile sprint cycles. The role suits an engineer with a strong manual background who is actively growing their automation skills using tools including Claude and GitHub Copilot. What you will do Perform manual and automation testing of web applications to identify bugs, glitches, and inconsistencies; Take ownership of automation tasks within the team and proactively develop your automation skills; Develop, maintain, and execute detailed manual test cases based on product requirements and specifications; Perform thorough cross-browser UI testing to ensure consistent behavior across Chrome, Firefox, Safari, Edge, etc.; Validate AI-generated test cases, summaries, and recommendations produced by integrated LLMs to ensure accuracy, completeness, and alignment with project requirements; Design and execute test scenarios to verify AI behavior, including prompt–response consistency, contextual relevance, and deterministic vs. non-deterministic outputs; Evaluate AI model quality using defined acceptance metrics (precision, recall, hallucination rate, duplication rate); Conduct manual API testing to validate request/response accuracy, error handling, and integration; Use TestRail to create, manage, and track test plans, test cases, and test execution results; Use Jenkins CI/CD pipelines; Report and document defects clearly using the bug tracking system (JIRA); Participate in daily stand-ups, sprint planning, and other Agile team meetings; Review user stories and acceptance criteria to understand the scope of testing; Estimate own tasks, report on risks to the team lead; Collaborate with developers and other QA team members to reproduce issues and verify fixes; Maintain and update test documentation as needed. Must haves 4+ years of experience in software testing; Strong manual & automation knowledge; Basic understanding of SDLC and STLC (Software Development and Testing Life Cycle) models; Knowledge of Testing and Quality Assurance processes; Strong experience with Test Design activities to cover a set of product requirements; Knowledge of Test Design techniques; Knowledge of testing methodologies; Defect analysis skills and the ability to write detailed and useful defect reports with expected defect-fixing outcomes; Experience with Postman (API testing) and Browser developer tools; Experience with UI testing; Experience with TestRail as a Test Management system (as a user, test execution is required); Basic understanding of CI/CD process; English – an Intermediate, higher knowledge level is an advantage. Nice to haves Understanding of LLM evaluation principles, including prompt engineering, output validation, and model fine-tuning cycles; Familiarity with AI/ML concepts, APIs, and frameworks (e.g., OpenAI API, Azure OpenAI, LangChain); Knowledge of data protection and compliance standards for AI systems (GDPR, zero-data retention, PII anonymization); Experience in SSO testing is a plus; Experience in Performance or Load testing is a plus. The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior Mobile QA Engineer role focused on building and maintaining automated test frameworks for React Native consumer mobile applications across iOS and Android. The position involves end-to-end, functional, regression, and integration testing, validating payment and authentication workflows, and integrating quality gates into CI/CD pipelines. The engineer collaborates in an Agile environment to ensure high-quality releases through automation, performance monitoring, and cross-functional teamwork. 🗂️ Requirements: 4+ years of professional mobile QA experience, 1+ year of React Native experience, Strong knowledge of iOS and Android platforms, Hands-on experience with Detox for end-to-end testing, Experience with Jest and React Native Testing Library, Experience with CI/CD tools such as GitHub Actions or CircleCI, Experience with BrowserStack or Sauce Labs, Knowledge of Firebase and Sentry, Basic understanding of JavaScript or TypeScript, API testing experience, Experience validating mobile payment flows, Upper-intermediate English level 📃 Skills: Detox, Jest, ReactNative, JavaScript, TypeScript, BrowserStack, SauceLabs, GitHubActions, CircleCI, Firebase, Sentry, AzureDevOps, QuantumMetric, EAS, Codility, iOS, Android, API, Adyen, ApplePay, GooglePay, LaunchDarkly, WCAG 🏢 Description: ID72469 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior AQA Engineer to drive automation quality for a global QSR brand’s consumer mobile applications across iOS and Android. You will build and maintain automated test suites using Detox and Jest, validate payment and authentication workflows, execute functional and regression testing on real devices via BrowserStack, and integrate quality gates into CI/CD pipelines through GitHub Actions and EAS. The role spans manual and automated testing in an Agile environment with close collaboration across engineering, product, and design teams. What you will do Build and maintain end-to-end automation frameworks; Execute functional, regression, and integration testing; Validate payment and authentication workflows; Develop and execute test plans and test cases for React Native mobile applications across iOS and Android; Perform manual and automated testing to validate functionality, UI/UX, performance, and platform compatibility; Build and maintain automated test suites using Detox for end-to-end flows, Jest and React Native Testing Library for unit and component coverage, and real-device validation via BrowserStack or Sauce Labs; Collaborate with cross-functional teams to define test requirements and ensure testability and accessibility of features including ADA compliance; Analyze test results, identify root causes of failures, and work with developers to drive resolution; Identify, document, and track bugs and issues in Azure DevOps; Monitor app performance and user feedback signals via Quantum Metric, Sentry, and Firebase; Support CI/CD quality gates including automated test runs, build validation, and beta distribution via GitHub Actions and EAS; Write and maintain test documentation including test plans, test cases, and coverage maps; Participate in Agile ceremonies including standups, sprint planning, refinement, and retrospectives; Stay current with the React Native testing ecosystem and contribute to migration to the React Native New Architecture. Must haves 4+ years of professional mobile QA experience ; 1+ year of React Native experience ; Strong understanding of mobile platforms (iOS and Android); Hands-on experience with Detox for end-to-end testing; Experience with Jest and React Native Testing Library or equivalent; Familiarity with CI/CD tools such as GitHub Actions or CircleCI; Experience with BrowserStack or Sauce Labs; Knowledge of Firebase and Sentry; Basic understanding of JavaScript/TypeScript and React Native architecture; API testing experience; Experience validating mobile payment flows; Clear communication and collaboration skills; Upper-intermediate English level. Nice to haves Experience with payment integrations such as Adyen, Apple Pay, and Google Pay; Familiarity with feature flag systems such as LaunchDarkly; Exposure to mobile analytics platforms such as Adobe Experience Platform and Quantum Metric; ADA accessibility testing and WCAG standards knowledge; Performance testing including render budgets and memory profiling on mobile; Internationalization (i18n) and multi-language app testing; Experience with App Store and Google Play submission and validation processes. The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Full-time ICQA and Continuous Improvement Manager role focused on inventory control, quality assurance, and operational process improvement within fulfillment centers. The position involves leading teams, driving Lean and Six Sigma initiatives, analyzing operational data, and improving inventory accuracy and quality performance. Candidates should have experience in logistics or distribution environments and strong analytical and leadership capabilities. 🗂️ Requirements: Supervisory experience in distribution or manufacturing environments, Experience in Inventory Control and Quality Assurance management, Experience with Lean methodologies, Experience with Six Sigma methodologies, Strong data analysis and time management skills, Ability to manage operations in a 24/7 environment, Excellent verbal and written communication skills in English, Background in logistics, distribution, or similar environments, Ability to analyze KPIs and operational metrics, Experience leading cross-functional improvement initiatives 📃 Skills: ICQA, Lean, SixSigma, SQL, KPIs, SOPs, Analytics, Inventory, Quality, Logistics, Distribution, Manufacturing, Accounting, Finance 🏢 Description: The Opportunity: We are currently seeking individuals for a full-time position in our inaugural fulfillment centers, with a focus on ICQA (Inventory Control and Quality Assurance). As an ICQA and Continuous Improvement Manager, you will play a crucial role in launching and operating our fulfillment centers by ensuring efficient inventory management, maintaining high quality standards, and driving continuous improvement initiatives. As a key member of the team, you will serve as a people leader, responsible for managing a team on the operating floor. Your main objective will be to optimize the ICQA process, utilizing advanced tools, methodologies, and data analytics to ensure accurate inventory tracking, timely inspections, and quality control. You will also drive continuous improvement initiatives to enhance operational efficiency and effectiveness. This senior ICQA and Continuous Improvement Manager position offers a unique opportunity to invest in others and foster a collaborative leadership style. By leveraging the tools, processes, and operations that drive efficient global trade, you will contribute to the overall success of fulfillment center operations through effective inventory control, quality assurance practices, and continuous improvement initiatives. Responsibilities: ICQA Operations and Quality Assurance: - Support safety programs and compliance to ensure a safe work environment for all associates. - Coordinate inventory control maintenance and random counts in accordance with network count strategies, ensuring compliance and consistency with SOX regulations. - Measure quality, inventory integrity, and accuracy while providing proactive feedback to the operations management team. - Review and analyze customer complaints and defect data, followed by developing action plans to reduce future incidents. - Plan for and identify root causes of inventory deviation through cause and effect analysis. - Participate in and lead network-wide fulfillment and operations-focused quality initiatives. Continuous Improvement: - Drive process improvements and implement Lean and Six Sigma methodologies to enhance efficiency, productivity, and quality. - Lead and manage cross-functional continuous improvement projects, collaborating with various department managers. - Analyze data, key performance indicators (KPIs), and process metrics to identify areas for improvement and optimize operational performance. - Develop and implement standard operating procedures (SOPs) and best practices to ensure consistent and efficient ICQA processes. - Actively contribute to the development and implementation of technology solutions to improve inventory control and quality assurance. Team Management and Development: - Lead and manage a team of area managers and hourly associates in ICQA operations within the fulfillment center. - Drive team performance, employee development, and engagement. - Motivate and mentor team members. What you will need: - Demonstrated solid proficiency in time management skills, alongside confidence in organizing vast amounts of data. - Proven ability to influence varying levels of seniority within an organization. - Highly dependable and able to manage business functions that can operate 24/7, including holidays. - Resilient problem-solving and multitasking skills in complex environments. - Strong commitment to employee development. - Previous supervisory experience in a distribution or manufacturing environment. - Excellent verbal and written communication skills in the local language and in English. What we're looking for: - Degree in a science or logistics-based discipline with a strong analytics and data focus preferred. - Strong understanding of finance and accounting functions and inventory relationships. - Background in logistics, distribution, or similar environments. - Previous Inventory Control and Quality Assurance management experience. - Experience with Lean and Six Sigma methodologies and techniques. Bonus points for: - Experience working with SQL, creating and running reports. - Bilingual English/Spanish proficiency. Compensation and Benefits: - Base salary range: $64,800—$89,100 USD. - Bonus, equity, medical, dental, and flexible time off benefits included.