{ "count" : 48829, "data" : [ { "id" : "6a2ca53674d8ee00a09b53be", "title" : "Systems Engineer, Modelling & Physics-AI", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Engineer in Singapore, adjusted for the Government industry and a mid-sized company." }, "location" : "GDP Government Digital Products", "locations" : [ "GDP Government Digital Products" ], "timestamp" : "2026-06-15T09:39:43.171", "fingerprint" : "37f988ee7fffcd67900d8ca29fefa06811772606535fb97c53beff5b8b93b472", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4004147201?gh_jid=4004147201", "externalId" : "4004147201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Degree", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, AI, ML, Deep Learning, Neural Operators, Geospatial data, NVIDIA Omniverse", "professionalSkills" : [ "Predictive intelligence", "Real-time prediction", "Computational efficiency", "Physically grounded models", "Model validation", "Data reliability", "Trustworthiness" ], "hardSkillsList" : [ "Modelling", "Machine learning", "Deep learning", "Physics-based modelling", "Surrogate modelling", "Spatial data analysis", "AI inference" ], "hardSkills" : [ { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Physics-based modelling", "level" : "intermediate" }, { "name" : "Surrogate modelling", "level" : "intermediate" }, { "name" : "Spatial data analysis", "level" : "intermediate" }, { "name" : "AI inference", "level" : "intermediate" } ], "majorSkills" : "Physics-AI, Modelling, Machine Learning, Deep Learning", "majorSkillsList" : [ "Physics-AI", "Modelling", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Provide predictive intelligence layer, Implement surrogate models, Predict system behaviour, Build predictive engines, Design Physics-AI models, Simulate physical phenomena, Develop surrogate models, Replace computationally expensive solvers, Enable real-time planning, Build training pipelines, Handle large-scale data, Apply Neural Operators, Predict environmental effects, Integrate AI inference engines, Visualize predicted outcomes, Validate AI model predictions, Ensure reliability, Ensure trustworthiness", "domainKnowledge" : "Built environment operations; Maritime operations; Aviation operations; Fuel consumption; Structural stress; Wake patterns; Millisecond latency; Spatial data; Wind fields; Tidal currents; Safety-critical operations", "domainList" : [ "built-environment-operations", "maritime-operations", "aviation-operations", "fuel-consumption", "structural-stress", "wake-patterns", "millisecond-latency", "spatial-data", "wind-fields", "tidal-currents", "safety-critical-operations" ], "domainSpecificKnowledge" : [ "Built environment operations", "Maritime operations", "Aviation operations", "Fuel consumption", "Structural stress", "Wake patterns", "Millisecond latency", "Spatial data", "Wind fields", "Tidal currents", "Safety-critical operations" ], "toolProficiency" : [ "NVIDIA PhysicsNeMo", "NVIDIA Omniverse" ], "continuousLearning" : "Learning and development opportunities", "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Degree in Computer Science, Applied Mathematics degree, Physics degree, Related AI/ML discipline degree, 3 years relevant experience, Modelling experience, Machine learning experience, Deep learning experience, Physical systems focus, Python skills, GPU-accelerated HPC experience, Scientific datasets experience, Physics-based datasets experience, Combine geospatial outputs, Neural solvers understanding, Spatially-aware AI models, Geographic constraints understanding", "qualificationsPreferred" : "NVIDIA PhysicsNeMo experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] We are seeking a Systems Engineer (Modelling & Physics-AI) to provide the predictive intelligence layer of our Next-Generation Digital Twin platform. Your mission is to move beyond static dashboards by implementing surrogate models that predict system behaviour in real time. You will work at the cutting edge of Physics-AI, building predictive engines for built environment, maritime, and aviation operations that are both computationally efficient and physically grounded. Design and deploy Physics-AI models using NVIDIA PhysicsNeMo to simulate complex physical phenomena such as fuel consumption, structural stress, and wake patterns. Develop surrogate models that replace computationally expensive solvers, enabling real-time \"what-if\" operational planning at millisecond latency. Build and maintain training pipelines for Neural Operators to handle large-scale maritime and aviation spatial data. Apply Neural Operators to geospatial datasets to predict environmental effects such as wind fields and tidal currents across large operational areas. Integrate AI inference engines into the NVIDIA Omniverse ecosystem for real-time visualisation of predicted outcomes. Validate AI model predictions against real-world sensor data to ensure reliability and trustworthiness in safety-critical operational contexts. [What we are looking for] Degree in Computer Science, Applied Mathematics, Physics, or a related AI/ML discipline. At least 3 years of relevant experience in modelling or machine learning, with a focus on deep learning for physical systems. Strong Python skills and experience with GPU-accelerated high-performance computing. Experience working with scientific or physics-based datasets. Understanding of how to combine geospatial outputs with neural solvers to build spatially-aware AI models that respect geographic constraints. Good to have Hands-on experience with NVIDIA PhysicsNeMo. Familiarity with time-series forecasting for IoT sensor data streams. Experience with Physics-Informed Neural Networks (PINNs) or Neural Operators such as FNO or DeepONet. Background in reinforcement learning for autonomous systems such as vessels or drones. What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.    Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.  Learn more about life inside GovTech at go.gov.sg/GovTechCareers. Stay connected with us on social media at go.gov.sg/ConnectWithGovTech", "summaryDescription" : "Systems Engineer, Modelling & Physics-AI at GovTech. Skills: Physics-AI, Modelling, Machine Learning, Deep Learning. Provide predictive intelligence layer. Implement surrogate models", "postedDate" : "2026-06-14T06:20:19.671", "createdAt" : "2026-06-14T06:20:19.671", "lastUpdated" : "2026-06-15T09:39:43.171", "ingestTimestamp" : "2026-06-14T06:20:19.671", "mongoId" : "6a2ca53674d8ee00a09b53be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Modelling", "Machine learning", "Deep learning", "Physics-based modelling", "Surrogate modelling", "Spatial data analysis", "AI inference", "Physics-AI", "Machine Learning", "Deep Learning", "Predictive intelligence", "Real-time prediction", "Computational efficiency", "Physically grounded models", "Model validation", "Data reliability", "Trustworthiness", "Built environment operations", "Maritime operations", "Aviation operations", "Fuel consumption", "Structural stress", "Wake patterns", "Millisecond latency", "Spatial data", "Wind fields", "Tidal currents", "Safety-critical operations", "NVIDIA PhysicsNeMo", "NVIDIA Omniverse" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b58f292fd229cf5ca02", "title" : "Embedded Systems & ML Engineering Intern", "company" : "1st Avenue Power", "industry" : "Climate Tech", "salary" : { "min" : 30.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bay Area, California, United States", "locations" : [ "Bay Area", "California", "United States" ], "timestamp" : "2026-06-16T08:55:21.778", "fingerprint" : "078d1480659c2928d719a86fa00b903f2755c2d038c6d504527a0eb55cbe1bf9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1stavenuepower/jobs/5263101008", "externalId" : "5263101008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "C, C++, Python, Machine Learning, Git, TensorFlow Lite, ONNX Runtime, UART, SPI, I2C, CAN, AWS IoT, Azure IoT Hub, DSP", "professionalSkills" : [ "Firmware development", "Code reviews", "Root cause analysis", "ML model optimization", "Model quantization" ], "hardSkillsList" : [ "Hardware bring-up", "Firmware development", "Embedded systems", "Real-time systems", "Device drivers", "Scheduling tasks", "Interrupt handling", "Low-power modes", "Version control", "ML model deployment", "Edge computing" ], "hardSkills" : [ { "name" : "Hardware bring-up", "level" : "intermediate" }, { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Device drivers", "level" : "intermediate" }, { "name" : "Scheduling tasks", "level" : "intermediate" }, { "name" : "Interrupt handling", "level" : "intermediate" }, { "name" : "Low-power modes", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Edge computing", "level" : "intermediate" } ], "majorSkills" : "Embedded Systems, Firmware Development, Machine Learning", "majorSkillsList" : [ "Embedded Systems", "Firmware Development", "Machine Learning" ], "coreResponsibilities" : "Review hardware for solar systems, Modify embedded firmware in C/C++, Develop device drivers, Implement scheduling tasks, Handle interrupt handling, Implement low-power modes, Port firmware to new hardware, Maintain version-controlled codebases, Conduct firmware testing, Perform code reviews, Analyze field issues, Review ML models for PV fault detection, Optimize trained models for edge devices, Quantize trained models for edge devices, Integrate ML outputs into dashboards, Integrate ML outputs into control loops", "teamCollaboration" : "Work with senior engineers; Collaborate with data engineering", "domainKnowledge" : "Solar energy systems; PV fault detection; Edge devices; Microcontrollers; Real-time microcontroller environments; Constrained compute; Constrained memory; IoT architectures", "domainList" : [ "solar-energy-systems", "pv-fault-detection", "edge-devices", "microcontrollers", "real-time-microcontroller-environments", "constrained-compute", "constrained-memory", "iot-architectures" ], "domainSpecificKnowledge" : [ "Solar energy systems", "PV fault detection", "Edge devices", "Microcontrollers", "Real-time microcontroller environments", "Constrained compute", "Constrained memory", "IoT architectures" ], "toolProficiency" : [ "Git", "TensorFlow Lite", "ONNX Runtime" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "5-15% travel", "qualificationsBasic" : "B. S. or M. S. in Computer Science or Computer Engineering, Basic proficiency in C or C++, Exposure to Python and an ML framework, Familiarity with version control (Git)", "qualificationsPreferred" : "Exposure to edge ML deployment tools, Knowledge of embedded communication protocols, Exposure to cloud-connected IoT architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "What You’ll Do Join our engineering team for a hands-on summer or co-op rotation spanning hardware bring-up, firmware development, and introductory machine learning on live solar energy systems. You’ll work directly with senior engineers and contribute meaningfully from day one. Key Responsibilities: Review and become familiar with hardware for solar monitoring and control systems, including MCUs, ADCs, and communication interfaces. Modify embedded firmware in C/C++ for real-time microcontroller environments (TI DSP), including device drivers, scheduling tasks, interrupt handling, and low-power modes. Port and adapt existing firmware to new hardware revisions and maintain version-controlled codebases. Conduct firmware testing, code reviews, and root cause analysis on field issues. Review current ML models for PV fault detection and performance optimization. Optimize and quantize trained models for deployment on edge devices with constrained compute and memory. Collaborate with data engineering teams to integrate ML outputs into monitoring dashboards and control loops. What We’re Looking For The skill you bring: Currently pursuing a B. S. or M. S. in Computer Science or Computer Engineering. Basic proficiency in C or C++ (coursework and personal projects accepted). Exposure to Python and an ML framework. Familiarity with version control (Git). Curiosity and willingness to work hands-on across hardware and software boundaries. Nice to Have: Exposure to edge ML deployment tools such as TensorFlow Lite or ONNX Runtime. Knowledge of embedded communication protocols (UART, SPI, I2C, CAN). Exposure to cloud-connected IoT architectures (AWS IoT, Azure IoT Hub). Benefits and Perks: Competitive Compensation Package Remote Flexibility with 5-15% travel to sites as needed Health Insurance: We offer 100% coverage of employee premiums under a Gold-level PPO plan. Dental & Vision Insurance: 50% of employee premiums are covered. Retirement Plan: A 401(k) plan with a 6% employer match. Additional Information: Minimum hourly rate of $30.00 to maximum hourly rate of $50.00 + benefits. The range provided is 1AP’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. About 1st Avenue Power: At 1st Avenue Power, we are on a mission to deliver simple, fast-to-deploy, customer-centric and intelligent power systems leveraging the abundance of solar to provide inexpensive and reliable clean energy to global customers from data centers to energy starved communities around the world. We envision a future where every community, business, and nation thrives on the limitless potential of clean energy, united in a shared commitment to a sustainable and equitable world. You will be working with Dr. Tom Buttgenbach, one of the most successful clean energy technology innovators and entrepreneurs who has been a driving force in making solar-based energy solutions the cheapest and most reliable energy option. Tom founded and led Avantus (formerly known as “8minute Solar Energy“), to become one of the largest and most profitable solar and energy storage companies in the United States and the largest in California, including delivering over 17% of Los Angeles’ power. When Tom sold his interest in Avantus’ development business to KKR in mid-2024, it had delivered over $1 billion in profit and secured over $10 Billion in power purchase agreements and project financings with a pipeline of over 30 GW of solar and 90 GWh of energy storage, capable of powering the homes of more than 20 million Americans day and night. Tom’s family office investment firm, 1st Avenue Capital, is building teams for the next generation of advanced solar power system architecture and AI to aggressively drive down the cost of and equitable access to clean and reliable energy.[1] 1st Avenue’s advanced large scale power systems are addressing the increasing inadequacy of the grid to meet the massively growing power demands of the digital economy, while its intelligent distributed solar utilities are leapfrogging the grid to provide equitable access to inexpensive, clean and reliable power to underserved communities around the world. 1AI Energy, the employing entity for 1st Avenue Power, and 1st Avenue Power are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race (inclusive of traits associated with race, including hair texture and protective hairstyles), color, religion, religious creed, national origin, ancestry, sex (including pregnancy, childbirth, and breastfeeding), age, veteran or military status, marital status, physical or mental disability, medical condition, genetic information, gender, gender identity, gender expression, sexual orientation, reproductive decision-making, or any other legally recognized protected class under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act (ADA), the California Fair Employment and Housing Act (FEHA), and local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on 1AI Energy or 1st Avenue Power. Please inform the company's personnel representative if you need assistance completing an application or to otherwise participate in the application process. Join our team and make a real difference in the world. [1: Additionally, 1st Avenue is in the business of acquiring projects where there has been a final notice-to-proceed or financial close.] California Pay Range $30—$50 USD", "summaryDescription" : "Embedded Systems & ML Engineering Intern at 1st Avenue Power. Skills: Embedded Systems, Firmware Development, Machine Learning. Review hardware for solar systems. Modify embedded firmware in C/C++", "postedDate" : "2026-06-15T23:23:57.339", "createdAt" : "2026-06-15T23:23:57.339", "lastUpdated" : "2026-06-16T08:55:21.778", "ingestTimestamp" : "2026-06-15T23:23:57.339", "mongoId" : "6a305b58f292fd229cf5ca02", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62400, "salaryAnnualMax" : 104000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Hardware bring-up", "Firmware development", "Embedded systems", "Real-time systems", "Device drivers", "Scheduling tasks", "Interrupt handling", "Low-power modes", "Version control", "ML model deployment", "Edge computing", "Embedded Systems", "Firmware Development", "Machine Learning", "Code reviews", "Root cause analysis", "ML model optimization", "Model quantization", "Solar energy systems", "PV fault detection", "Edge devices", "Microcontrollers", "Real-time microcontroller environments", "Constrained compute", "Constrained memory", "IoT architectures", "Git", "TensorFlow Lite", "ONNX Runtime" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8374d8ee00a0975b35", "title" : "Senior Product Manager, Connectivity and Embedded Systems", "company" : "WHOOP", "industry" : "Product", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T11:37:43.630", "fingerprint" : "67bb8caffe01115712afcf2ae0f90f1700a71bd1dc6a016028667b776dd72ac3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/a44963dd-2c6c-41f8-b78f-3b8aa43571ae/application", "externalId" : "a44963dd-2c6c-41f8-b78f-3b8aa43571ae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Firmware, Mobile, Hardware, Backend, Bluetooth, WiFi", "professionalSkills" : [ "Product strategy", "Roadmap development", "System design", "Technical direction", "Architectural decisions", "Product requirements", "Stakeholder alignment", "Cross-functional initiatives" ], "hardSkillsList" : [ "Data synchronization", "Embedded logic", "Power management" ], "hardSkills" : [ { "name" : "Data synchronization", "level" : "intermediate" }, { "name" : "Embedded logic", "level" : "intermediate" }, { "name" : "Power management", "level" : "intermediate" } ], "majorSkills" : "Connectivity, Embedded systems, Product strategy, Roadmap", "majorSkillsList" : [ "Connectivity", "Embedded systems", "Product strategy", "Roadmap" ], "coreResponsibilities" : "Define product strategy, Own product strategy, Define roadmap, Own roadmap, Ensure seamless member experience, Ensure reliable member experience, Ensure scalable member experience, Lead end-to-end ownership, Drive technical direction, Influence architectural decisions, Improve reliability, Improve performance, Improve scalability, Leverage key metrics, Inform product direction, Prioritize opportunities, Translate technical concepts, Define product requirements, Create product documentation, Enable efficient execution, Act domain expert, Act point accountability, Identify risks, Identify opportunities", "teamCollaboration" : "Cross-functional initiatives; Partnering with engineering leads; Align stakeholders; Driving clarity across teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Connectivity; Embedded systems; Hardware; Firmware; Mobile; Platform-level products; Human performance; Health technology", "domainList" : [ "connectivity", "embedded-systems", "hardware", "firmware", "mobile", "platform-level-products", "human-performance", "health-technology" ], "domainSpecificKnowledge" : [ "Connectivity", "Embedded systems", "Hardware", "Firmware", "Mobile", "Platform-level products", "Human performance", "Health technology" ], "communicationSkills" : "Technical documentation; Stakeholder alignment", "documentationSkills" : "Product documentation", "problemSolvingSkills" : "Prioritization; Data-driven decisions", "specialRequirements" : "Prepared to relocate", "qualificationsBasic" : "5+ years product management, Deep experience connected hardware, Deep experience embedded systems, Deep experience platform-level products, Understanding Bluetooth/WiFi connectivity, Understanding mobile-device communication, Understanding system-level tradeoffs, Experience partnering firmware/embedded engineering, Ability influence technical direction, Ability influence architectural decisions, Define product strategy, Drive long-term roadmaps, Analytical and prioritization skills, Experience defining metrics, Experience using data, Excellent communication skills, Track record aligning stakeholders, Driving clarity across teams, Comfortable operating ambiguous environments, Comfortable operating technically complex environments, High degree ownership, High degree accountability", "qualificationsPreferred" : "Passion for human performance, Passion health technology, Passion building seamless experiences, Passion building reliable experiences", "workSiteFlexibility" : "Onsite", "rawDescription" : "At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Delivering this experience requires seamless integration across hardware, firmware, and software, especially in the connectivity and embedded systems that power our technology. As a Senior Product Manager, Connectivity and Embedded Systems, you will define and drive the strategy, architecture direction, and execution of WHOOP’s connectivity and embedded platform. Sitting at the intersection of firmware, mobile, and hardware, you will own the end-to-end member experience from device to app, ensuring it is reliable, scalable, and best-in-class. You will lead complex, cross-functional initiatives that span multiple teams and product surfaces, shaping the long-term roadmap for how WHOOP devices connect, communicate, and perform. This role requires deep technical fluency, strong product judgment, and the ability to align teams around a clear vision while delivering high-quality execution. RESPONSIBILITIES: - - Define and own the product strategy and roadmap for connectivity and embedded systems, ensuring a seamless, reliable, and scalable member experience.. - Lead end-to-end ownership of the device-to-app experience, including pairing, data synchronization, embedded logic, and power management. - Drive technical direction in partnership with engineering leads across firmware, mobile, hardware, and backend, influencing architectural decisions that improve reliability, performance, and scalability. - Leverage key performance metrics to inform product direction and strategically prioritize opportunities that balance member impact with business goals. - Translate complex technical concepts into clear product requirements, documentation, and communication that align stakeholders and enable efficient execution. - Act as the domain expert and point of accountability for connectivity and embedded systems across the organization, proactively identifying risks and opportunities. QUALIFICATIONS: - - 5+ years of product management experience, with deep experience in connected hardware, embedded systems, or platform-level products. - Strong understanding of Bluetooth/WiFi connectivity, mobile-device communication, and system-level tradeoffs across hardware and software. - Experience partnering closely with firmware and embedded engineering teams, with the ability to influence technical direction and architectural decisions. - Demonstrated ability to define product strategy and drive long-term roadmaps from concept through execution. - Strong analytical and prioritization skills, with experience defining metrics and using data to inform decisions. - Excellent communication skills, with a track record of aligning senior stakeholders and driving clarity across teams. - Comfortable operating in ambiguous, technically complex environments with a high degree of ownership and accountability. - Passion for human performance, health technology, and building seamless, reliable product experiences. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $155,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Senior Product Manager, Connectivity and Embedded Systems at WHOOP. Skills: Connectivity, Embedded systems, Product strategy, Roadmap. Define product strategy. Own product strategy", "createdAt" : "2026-06-14T05:35:07.731", "lastUpdated" : "2026-06-15T11:37:43.630", "ingestTimestamp" : "2026-06-14T05:35:07.731", "mongoId" : "6a2c8c8374d8ee00a0975b35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data synchronization", "Embedded logic", "Power management", "Connectivity", "Embedded systems", "Product strategy", "Roadmap", "Roadmap development", "System design", "Technical direction", "Architectural decisions", "Product requirements", "Stakeholder alignment", "Cross-functional initiatives", "Roadmap planning", "Hardware", "Firmware", "Mobile", "Platform-level products", "Human performance", "Health technology" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc37074d8ee00a0a0965f", "title" : "Embedded Systems Manager, Radar", "company" : "Reliable Robotics", "industry" : "Software & Embedded Systems", "salary" : { "min" : 190000.0, "max" : 260000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Seattle, WA", "locations" : [ "Seattle, WA" ], "timestamp" : "2026-06-15T05:25:25.623", "fingerprint" : "dbd792f7eae284d00440062c0f972be2d85dcf7d8e12fd9ba2de6643cea3033a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/reliable-robotics/e5e610f2-901d-40d9-8574-27105d696979/application", "externalId" : "e5e610f2-901d-40d9-8574-27105d696979", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "C++, C, VHDL, Verilog", "professionalSkills" : [ "Technical roadmaps", "Engineering processes" ], "hardSkillsList" : [ "Embedded software development", "Electronics hardware development", "FPGA verification" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Embedded software development", "level" : "intermediate" }, { "name" : "Electronics hardware development", "level" : "intermediate" }, { "name" : "FPGA verification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Embedded Systems, Radar Systems, DO-178C, DO-254", "majorSkillsList" : [ "Embedded Systems", "Radar Systems", "DO-178C", "DO-254" ], "coreResponsibilities" : "Lead and grow team, Own maturation of engineering processes, Balance engineering execution, Support rapid integration, Support flight testing, Develop technical roadmaps, Execute technical roadmaps, Manage priorities, Ensure team is unblocked, Build high performance team, Develop high performance team, Empower high performance team", "teamCollaboration" : "Working alongside other teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Phased array radar systems; DO-178C verification; DO-254 verification; Safety-critical FPGA", "domainList" : [ "phased-array-radar-systems", "do-178c-verification", "do-254-verification", "safety-critical-fpga" ], "domainSpecificKnowledge" : [ "Phased array radar systems", "DO-178C verification", "DO-254 verification", "Safety-critical FPGA" ], "specialRequirements" : "10% travel, Export controls compliance", "outcomesObjectives" : "Reliable, robust, certifiable radar systems", "qualificationsBasic" : "Bachelor's Degree in Computer Science, 7+ years embedded software development, 7+ years electronics hardware development, 3+ years technical leadership, 3+ years people management", "qualificationsPreferred" : "Scaling teams experience, Maturing development processes experience, Radar algorithms experience, Radar signal processing experience, Radar system integration experience, Radar system test experience, Full hardware product development experience, DO-178C certification program experience, FPGA verification experience", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. Our Embedded Systems Radar team is at the core of Reliable’s autonomy mission, responsible for embedded software and firmware for our next-generation Radar system. Phased array radar systems have historically been reserved for specialized applications, but we’re making this technology affordable to enable Detect and Avoid for widespread commercial applications. The passion for revolutionary technology to make aviation safer motivates us to come in every day. Responsibilities As an Embedded Systems Manager at Reliable Robotics, you’ll lead and grow the team responsible for the software and complex electronic hardware for our air to air radar. You’ll own the maturation of engineering processes to balance immediate engineering execution with formal DO-178C/DO-254 verification, supporting rapid integration and flight testing of the radar system. Working alongside other teams, you’ll develop and execute technical roadmaps, manage priorities, and ensure your team is unblocked. You will be responsible for building, developing, and empowering a high performance team with a shared vision of reliable, robust, and certifiable radar systems. Basic Success Criteria - Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering or related discipline - 7+ years of professional experience in either of the primary technical domains: embedded software development (C/C++), electronics hardware development (VHDL/Verilog) - 3+ years in a technical leadership or people management role - Experience working on complex systems where hardware and software intersect Preferred Criteria - Demonstrated success scaling teams and maturing development processes in a high-growth environment - Hands-on experience with Radar algorithms, radar signal processing, integration, and test of a radar system - Exhibited full hardware product development from prototype to product in service - Experience working through the full lifecycle of a DO-178C certification program - Experience with safety-critical FPGA verification (DO-254 level A/B or equivalent) This role is located onsite in Seattle, WA. Must be willing to travel 10% of the time. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to work@reliable.co", "summaryDescription" : "Embedded Systems Manager, Radar at Reliable Robotics. Skills: Embedded Systems, Radar Systems, DO-178C, DO-254. Lead and grow team. Own maturation of engineering processes", "createdAt" : "2026-06-13T22:26:02.647", "lastUpdated" : "2026-06-15T05:25:25.623", "ingestTimestamp" : "2026-06-13T22:26:02.647", "mongoId" : "6a2cc37074d8ee00a0a0965f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Embedded software development", "Electronics hardware development", "FPGA verification", "Leadership", "Embedded Systems", "Radar Systems", "DO-178C", "DO-254", "Technical roadmaps", "Engineering processes", "Roadmap planning", "Phased array radar systems", "DO-178C verification", "DO-254 verification", "Safety-critical FPGA" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e8a74d8ee00a0af81d0", "title" : "Staff Software Engineer, Embedded Systems/Firmware", "industry" : "Manufacturing", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Software Engineer, Embedded Systems/Firmware in Sunnyvale, United States, adjusted for lead seniority and technology industry." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T11:22:49.044", "fingerprint" : "de499063fb27f0550e7dcdcb32f3bc2d4cb61fbf0da89b43443a8e944056c2fc", "source" : "google", "language" : "en", "externalId" : "142850990175855302", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "domainKnowledge" : "Embedded Systems; Firmware", "domainList" : [ "embedded-systems", "firmware" ], "domainSpecificKnowledge" : [ "Embedded Systems", "Firmware" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Staff Software Engineer, Embedded Systems/Firmware", "postedDate" : "2026-06-16T01:50:52.090", "createdAt" : "2026-06-16T01:50:52.090", "lastUpdated" : "2026-06-16T11:22:49.044", "ingestTimestamp" : "2026-06-16T01:50:52.090", "mongoId" : "6a210e8a74d8ee00a0af81d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Embedded Systems", "Firmware" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e437f8b1b0376634c8a5", "title" : "SDE II - Embedded Systems", "company" : "Amazon.com Services LLC", "industry" : "Software Development, transportation and logistics", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:26:28.325", "fingerprint" : "0051b56539181c2d5a1d31ebfbe00d2d411f8924524c0e291086f4dd7f2b4ebe", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072377/apply", "externalId" : "f8bc33c9-a79f-4bd3-9ec3-48c0db4e4703", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C++, Edge computing, Real-time data processing, Gen-AI, Machine learning, IoT, Cloud computing, PyTorch, TensorFlow, ROS/ROS2, Gazebo, IsaacSIM, SLAM", "professionalSkills" : [ "Software engineering fundamentals", "System design", "Architecture", "Route optimization", "Fleet management", "Simulation" ], "hardSkillsList" : [ "Embedded systems development", "Real-time data processing", "Scalable embedded solutions" ], "hardSkills" : [ { "name" : "Embedded systems development", "level" : "intermediate" }, { "name" : "Real-time data processing", "level" : "intermediate" }, { "name" : "Scalable embedded solutions", "level" : "intermediate" } ], "majorSkills" : "Embedded systems, Real-time data, Scalable solutions", "majorSkillsList" : [ "Embedded systems", "Real-time data", "Scalable solutions" ], "coreResponsibilities" : "Develop embedded solutions, Process real-time data, Design scalable systems, Optimize delivery networks, Adapt to events, Make intelligent decisions, Coordinate delivery events, Develop route optimization, Manage delivery fleets, Develop simulations, Deploy solutions", "domainKnowledge" : "Last-mile logistics; Delivery networks; Embedded systems; Real-time systems; Safety-critical systems", "domainList" : [ "last-mile-logistics", "delivery-networks", "embedded-systems", "real-time-systems", "safety-critical-systems" ], "domainSpecificKnowledge" : [ "Last-mile logistics", "Delivery networks", "Embedded systems", "Real-time systems", "Safety-critical systems" ], "toolProficiency" : [ "ROS/ROS2", "Gazebo", "IsaacSIM" ], "innovationCreativity" : "Innovation at scale; Create new approaches", "problemSolvingSkills" : "Solve intricate puzzles", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, Experience programming one language", "qualificationsPreferred" : "Knowledge of computer vision, Knowledge of sensor fusion, Knowledge of perception systems, Work with sensors (cameras, LIDAR, radar), Experience with behavior planning, Experience with decision-making systems, Background in real-time systems, Background in embedded software development, Familiarity with machine learning frameworks, Experience with ROS/ROS2, Experience with simulation environments, Understanding of SLAM techniques, Experience with safety-critical software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Amazon's Last Mile Technology Revolution! Are you ready to reshape the future of logistics? Join us in transforming how millions of packages reach their final destination through state of the art technology and innovation! The Last Mile Technology organization is pioneering advanced solutions that are revolutionizing Amazon Logistics (AMZL). Our mission is to create intelligent, efficient, and scalable systems that will transform the delivery experience. We're building the future of last-mile logistics while maintaining Amazon's highest standards for safety and reliability. The Last Mile challenge is a fascinating blend of real-world complexity and technological innovation. We're tackling multidimensional problems that involve orchestrating complex delivery networks, optimizing routes through dynamic environments, and adapting to everything from unexpected city events to seasonal weather patterns – all while ensuring every package arrives as per our promise. As a Software Development Engineer on our Last Mile Technology team, you'll be at the forefront of solving these intricate puzzles. You'll work on systems that make intelligent decisions in real-time, optimize complex logistics networks, and coordinate thousands of delivery events across diverse geographical areas. Our systems must excel in environments ranging from dense urban centers to suburban neighborhoods, each presenting unique challenges that require innovative solutions. What Makes This Role Exciting: - Real-World Impact: Your code will power systems that deliver millions of packages to customers, making their lives better every day - Scale That Matters: Build systems that coordinate thousands of delivery events across different cities, weather conditions, and scenarios - State of the Art Tech Stack: Leverage the latest in Gen-AI, machine learning, IoT, and cloud computing to solve real-world problems - Innovation at Scale: Create entirely new approaches to last-mile delivery challenges - End-to-End Ownership: Work on complete solutions from route optimization to fleet management, from simulation to real-world deployment Required Skills: - Strong software engineering fundamentals - Experience with edge computing and real-time data processing - Experience in developing C++ applications - Creating scalable and efficient embedded solutions for applications running on edge devices Join us in building the future of delivery technology at Amazon! Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - Knowledge of computer vision, sensor fusion and perception systems, including work with sensors (cameras, LIDAR, radar) - Experience with behavior planning or decision-making systems for AI agents such as motion planning, path finding algorithms, or navigation systems - Background in real-time systems and embedded software development - Familiarity with machine learning frameworks (PyTorch, TensorFlow) - Experience with frameworks such as ROS/ROS2 - Experience with simulation environments (Gazebo, IsaacSIM) - Understanding of localization and mapping (SLAM) techniques - Experience with safety-critical software development practices Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "SDE II - Embedded Systems at Amazon.com Services LLC. Skills: Embedded systems, Real-time data, Scalable solutions. Develop embedded solutions. Process real-time data", "postedDate" : "2026-06-13T03:21:13.789", "createdAt" : "2026-06-13T03:21:13.789", "lastUpdated" : "2026-06-15T01:26:28.325", "ingestTimestamp" : "2026-06-13T03:21:13.789", "mongoId" : "68c2e437f8b1b0376634c8a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072377/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Embedded systems development", "Real-time data processing", "Scalable embedded solutions", "Embedded systems", "Real-time data", "Scalable solutions", "Software engineering fundamentals", "System design", "Architecture", "Route optimization", "Fleet management", "Simulation", "Last-mile logistics", "Delivery networks", "Real-time systems", "Safety-critical systems", "ROS/ROS2", "Gazebo", "IsaacSIM" ], "skillCount" : 19, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics" }, { "id" : "6a2c7ab774d8ee00a0946892", "title" : "Power Markets Modelling and Insights Lead", "company" : "Baringa", "industry" : "Consulting", "salary" : { "min" : 220000.0, "max" : 300000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Power Markets Modelling and Insights role in Sydney, Australia, adjusted for the energy industry and company size." }, "location" : "Sydney", "locations" : [ "Sydney" ], "timestamp" : "2026-06-15T11:10:54.787", "fingerprint" : "ea232c6d0dafcf600d921f91388b9c5c34b9d885a8cad9988a4861ed93c77eac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/baringa/jobs/4874997101", "externalId" : "4874997101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, Aimms, R, VBA, SQL", "professionalSkills" : [ "Market analysis", "Product development", "Data architecture" ], "hardSkillsList" : [ "Modelling", "Analytics", "Market projections" ], "hardSkills" : [ { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Market projections", "level" : "intermediate" } ], "majorSkills" : "Power market modelling, Energy market insights, Product roadmap", "majorSkillsList" : [ "Power market modelling", "Energy market insights", "Product roadmap" ], "coreResponsibilities" : "Deliver Power Market projections, Manage a team of modellers, Manage market experts, Develop new models, Analyse the Energy market, Shape product roadmap, Build understanding of client needs, Translate market insights, Collaborate with leadership, Embed best practice, Evolve best practice, Ensure consistency, Ensure scalability, Drive development of data architecture, Lead development of new power market models, Build relationships with consulting team, Provide support with models", "teamCollaboration" : "Global Products Team; Commercial leadership; Energy Advisory leadership; Consulting team", "projectManagementSkills" : [ "Product roadmap" ], "domainKnowledge" : "Energy sector; Power market fundamentals; Market design; Electricity market outcomes; Australia energy market", "domainList" : [ "energy-sector", "power-market-fundamentals", "market-design", "electricity-market-outcomes", "australia-energy-market" ], "domainSpecificKnowledge" : [ "Energy sector", "Power market fundamentals", "Market design", "Electricity market outcomes", "Australia energy market" ], "toolProficiency" : [ "PLEXOS" ], "qualificationsBasic" : "Managing modelling/analytics teams, Developing power market models, Understanding power market fundamentals, Understanding market design, Understanding electricity market outcomes", "qualificationsPreferred" : "Shaping a Product Team strategy, Associated prioritised Product Roadmap", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. We are looking for an experienced Modelling and Insights Lead to join our market-leading Australian Energy practice in Sydney or Melbourne. Our global Energy practice offers our clients an unparalleled combination of energy market expertise and commercial insight. We are proud to work with the foremost policymakers, regulators, investors, developers, lenders, and energy companies operating globally across the energy supply chain. Led by a Senior Management Team respected as Thought Leaders within the industry, we help our clients shape, define, and implement change in energy markets. Within this global practice, our Energy Products Business develops and commercialises the firm’s insights and SaaS product offerings, serving clients across approximately 65 countries. Built on a shared stack of power, gas, energy system and asset models, it brings the firm’s expertise and analytical capability to market in standardised, scalable forms. The team is cross-functional, spanning product management, quantitative modelling, and software and data engineering, organised into small, outcome-focused squads working at the intersection of deep analytical expertise and commercial product delivery. We are now looking for a talented Senior Modelling and Insights expert to join our Energy Products team. You will be managing the delivery of Baringa’s market leading quarterly Power Market Reports, managing a team of modellers and market experts within our Products Team. You will work at the forefront of our industries, managing and developing new and existing models to analyse the Energy market for a range of blue-chip, global clients. Our market leading growth along with our continued ambitious expansion plans mean that we can continue to offer our employees the progression, development and diverse range of work they are looking for. What you will be doing Responsible for the delivery of Baringa’s leading quarterly Power Market projections and analytics for Australia, as well as new products due for launch into our global product suite Shape and drive the product roadmap by building a deep understanding of client needs, translating market insights into prioritised development initiatives, and collaborating closely with Commercial and Energy Advisory leadership to ensure alignment with client demand and growth strategy. Collaborate with the global Products Team to embed and evolve best practice across modelling and technology deployment, ensuring consistency, scalability and continuous improvement in our product offering. Lead and develop a team of modellers and market experts Drive the development of our data architecture Lead the development of new power market models in our existing toolkit - PLEXOS Build relationships with our consulting team, to provide support with new and existing models Your skills and experience Proven track record of managing modelling/analytics teams in the energy sector Proven experience of developing power market models and projections, using tools such as: Python, Aimms, R, VBA, SQL, PLEXOS Strong understanding of power market fundamentals, market design and the key drivers shaping electricity market outcomes in Australia Interest or experience in shaping a Product Team strategy and associated prioritised Product Roadmap Ability to communicate complex concepts and modelling results succinctly to both technical and non-technical colleagues, and present these results to clients Experience of deploying LLMs and agentic AI in an analytical and/or development environment Experience of or interest in working in an agile environment Experience of managing senior stakeholders What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. An award-winning workplace You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we’ve achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. Join us All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. Baringa Privacy Notices For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com", "summaryDescription" : "Power Markets Modelling and Insights Lead at Baringa. Skills: Power market modelling, Energy market insights, Product roadmap. Deliver Power Market projections. Manage a team of modellers", "postedDate" : "2026-06-13T21:09:32.133", "createdAt" : "2026-06-13T21:09:32.133", "lastUpdated" : "2026-06-15T11:10:54.787", "ingestTimestamp" : "2026-06-13T21:09:32.133", "mongoId" : "6a2c7ab774d8ee00a0946892", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Modelling", "Analytics", "Market projections", "Power market modelling", "Energy market insights", "Product roadmap", "Market analysis", "Product development", "Data architecture", "Energy sector", "Power market fundamentals", "Market design", "Electricity market outcomes", "Australia energy market", "PLEXOS" ], "skillCount" : 15, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a19675058b93c861e4e94d3", "title" : "SAP Functional Consultant – PS (Project Systems)", "company" : "Navaide", "industry" : "Government", "salary" : { "min" : 115000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for SAP Functional Consultant – PS in San Diego, adjusted for mid-seniority and technology industry." }, "location" : "San Diego, CA", "locations" : [ "San Diego", "CA" ], "timestamp" : "2026-06-16T00:27:47.192", "fingerprint" : "278522a480c383a56449c25b045198a0264a0fddfe72910b47e2c32da2de0884", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://navaide.breezy.hr/p/babbe4663264-sap-functional-consultant-ps-project-systems--must-be-government-clearance-eligible", "externalId" : "babbe4663264", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Advance Navaide's mission, Drive transformational change for clients", "domainKnowledge" : "SAP Project Systems", "domainList" : [ "sap-project-systems" ], "domainSpecificKnowledge" : [ "SAP Project Systems" ], "specialRequirements" : "U. S. citizenship, Obtain federal clearance", "qualificationsBasic" : "Government clearance eligible", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SAP Functional Consultant – PS (Project Systems) Location: On‑site, San Diego Clearance: U. S. citizenship with ability to obtain relevant federal clearance How You Will Make an Impact: You will play a critical role in advancing Navaide’s mission of driving transformational change for our clients. Y", "summaryDescription" : "SAP Functional Consultant – PS (Project Systems) at Navaide. Advance Navaide's mission. Drive transformational change for clients", "createdAt" : "2026-06-14T20:27:26.722", "lastUpdated" : "2026-06-16T00:27:47.192", "ingestTimestamp" : "2026-06-14T20:27:26.722", "mongoId" : "6a19675058b93c861e4e94d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "SAP Project Systems" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c7ec174d8ee00a09537fc", "title" : "Senior Embedded Software Engineer - Systems Team", "company" : "Riverlane", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T09:46:26.220", "fingerprint" : "74de14ea8cf83ee384687868db26febeca4418b0211e97c361c8b71566a11efa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/riverlane/jobs/4875725101", "externalId" : "4875725101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C, C++, Python, Verilog, VHDL, System Verilog", "professionalSkills" : [ "System deployment", "System integration", "System troubleshooting", "System debugging", "Customer advocacy", "Technical workshops" ], "hardSkillsList" : [ "SoC design", "Embedded Systems Design", "Computer Architecture" ], "hardSkills" : [ { "name" : "SoC design", "level" : "intermediate" }, { "name" : "Embedded Systems Design", "level" : "intermediate" }, { "name" : "Computer Architecture", "level" : "intermediate" } ], "majorSkills" : "Embedded Software, Quantum Error Correction, Systems Engineering", "majorSkillsList" : [ "Embedded Software", "Quantum Error Correction", "Systems Engineering" ], "coreResponsibilities" : "Configure Deltaflow Hardware, Connect to Quantum Computer, Develop software stack, Integrate software stack, Run quantum experiments, Implement quantum error correction, Debug issues, Host technical workshops, Evaluate customer software, Evaluate customer data communication, Integrate software stack, Design experiments, Benchmark systems, Discover system limitations, Report issues, Replicate setup with QA, Write scripts to debug, Update test environment, Document experiments, Highlight success, Highlight issues, Highlight trends, Feedback key features, Create dashboard", "teamCollaboration" : "Customer engineers; Quantum Application Team; QA team; Product Team; Diverse range of people", "domainKnowledge" : "Quantum error correction; Quantum computing; Fault-tolerant quantum computing; Quantum systems; Hardware implementation", "domainList" : [ "quantum-error-correction", "quantum-computing", "fault-tolerant-quantum-computing", "quantum-systems", "hardware-implementation" ], "domainSpecificKnowledge" : [ "Quantum error correction", "Quantum computing", "Fault-tolerant quantum computing", "Quantum systems", "Hardware implementation" ], "toolProficiency" : [ "Deltaflow Hardware", "DeltaKit", "Source control", "Continuous integration", "Unit testing" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document experiments", "continuousLearning" : "Training budgets; Conference budgets", "innovationCreativity" : "Cutting-edge R&D", "problemSolvingSkills" : "Troubleshooting; Debugging", "specialRequirements" : "Pass USA Gov Clearance", "qualificationsBasic" : "Bachelor's degree in Computer Science, Experience with C, C++, Python, Experience in SoC design, Experience in Embedded Systems Design, Experience in Computer Architecture, Proficiency with Python, Experience with source control, Experience with continuous integration, Experience with unit testing, Experience with standard debug methodologies, Ability to work independently, Ability to work within a team", "qualificationsPreferred" : "Experience working on scientific instrumentation, Knowledge of Quantum Mechanics, Technical pre/post sales experience, Professional services experience, Field application engineering experience, Working knowledge of Verilog, Working knowledge of VHDL, Working knowledge of System Verilog", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Senior Embedded Software Engineer - Systems Team Boston, MA, US | Full-time | Permanent | Hybrid Salary: $145,000 to $205,000 DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. About us Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry’s defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.  About the role The Embedded Systems Software Engineer bridges the gap between Riverlane and it’s customers. They act as the primary technical interface for customer’s engineers and guide them through product integration and help with trouble shooting complex quantum systems. As an Embedded Software Engineer on the Systems Team, you will configure our Deltaflow Hardware to connect to the Quantum Computer allowing it to provide a low-latency, high throughput system that performs complex operations in a predictable and guaranteed way. You will develop our software stack to work with customers quantum computers. You will ensure our customers can run quantum experiments, implement Riverlane’s quantum errors correction algorithm and debug any issues that arise. This is a fantastic opportunity to join a team that is developing the world’s most advanced quantum error correcting algorithms and QEC Hardware. The Riverlane team is a mix of mathematicians, physicists and engineers, working together on a range of exciting and cutting-edge QEC projects. What you will do: Technical Pre / Post-Sales: -Host Technical Workshops on Riverlane’s QEC Stack and DeltaKit. -Evaluate Customers Software and data communication systems. Integration On-Site: End-to-End System Deployment. -Integrate our Software Stack into Customer’s Quantum Computer Systems. -Work with Riverlane’s Quantum Application Team to design experiments to test the compiled software. -Benchmark and discover system limitations. Troubleshooting and Debugging: Managing Customer Issues -Report issues and help replicate the setup with the QA team in Riverlane. -Writing scripts to help debug the complete system -Update test environment and document the experiments that were conducted. Customer Advocacy: Voice of the Customer to River Lane Product Team -Highlight the success, issues and trends on customer’s Quantum Systems -Feedback key features that will be needed to win current and next generation products -Create Dashboard that would allow better understanding of the complete quantum computing system. What we need: A Bachelor's degree (or equivalent) in Computer Science, Electronic Engineering, Physics, Math or a related discipline. Great communication skills (written and verbal) and an ability to work with a diverse range of people are essential. Strong experience of at least one Embedded Software programming language (C, C++, Python, etc.) Proven experience in SoC design, Embedded Systems Design, or Computer Architecture Proficiency with a scripting language, such as Python (preferred) Working knowledge of Verilog, VHDL or System Verilog preferred Curiosity to learn about new technologies, including quantum computing and error correction A deep understanding of how hardware implements with software Experience with standard development practices, such as source control, continuous integration, unit testing, and standard debug methodologies Ability to work well within a team and independently Must be able to pass a USA Gov Clearance if required Even better if: Experience working on scientific instrumentation Good knowledge of Quantum Mechanics Technical pre / post sales, professional services or field application engineering experience What can you expect from us: A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance and 401K contributions Equity, so that our team can share in the long-term success of Riverlane  Generous paid time off, and enhanced family leave  A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and math) and over 20 different nationalities   A learning environment that encourages individual, team and company growth and learning, including training and conference budgets How to apply Please upload a CV and cover letter by clicking 'Apply'. Your cover letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. If you have any queries, please contact jobs@riverlane.com. Everyone is welcome at Riverlane. We are an equal opportunity employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don’t meet every single qualification. We’d love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. #LI-CA1", "summaryDescription" : "Senior Embedded Software Engineer - Systems Team at Riverlane. Skills: Embedded Software, Quantum Error Correction, Systems Engineering. Configure Deltaflow Hardware. Connect to Quantum Computer", "postedDate" : "2026-06-14T08:29:57.567", "createdAt" : "2026-06-14T08:29:57.567", "lastUpdated" : "2026-06-15T09:46:26.220", "ingestTimestamp" : "2026-06-14T08:29:57.567", "mongoId" : "6a2c7ec174d8ee00a09537fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "SoC design", "Embedded Systems Design", "Computer Architecture", "Embedded Software", "Quantum Error Correction", "Systems Engineering", "System deployment", "System integration", "System troubleshooting", "System debugging", "Customer advocacy", "Technical workshops", "Quantum error correction", "Quantum computing", "Fault-tolerant quantum computing", "Quantum systems", "Hardware implementation", "Deltaflow Hardware", "DeltaKit", "Source control", "Continuous integration", "Unit testing" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1d070f0b99d58d664f9", "title" : "Embedded Software Engineer, Connectivity Systems", "company" : "Amazon.com Services LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Gatos, California, USA", "locations" : [ "Los Gatos, California, USA" ], "timestamp" : "2026-06-15T04:06:06.000", "fingerprint" : "b0d9fe56ff277590055dda6ca441a6cfc2f307f28b392ad85f78f2ffc79c197c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104436/apply", "externalId" : "ae4c7819-2dad-46a3-ad29-c579f5d74809", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Gatos", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.2266110,-121.9746797" } ], "locationText" : "Los Gatos, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, Python, Rust, C, C++, Linux, Networking", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Software development", "Code reviews", "Performance analysis", "Stability analysis" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Stability analysis", "level" : "intermediate" } ], "majorSkills" : "Embedded software, Connectivity systems, Network software", "majorSkillsList" : [ "Embedded software", "Connectivity systems", "Network software" ], "coreResponsibilities" : "Improve management plane, Implement new customer features, Improve fleet observability, Deliver high impact customer features, Debug production issues, Triage production issues, Perform meticulous code reviews, Analyze performance data, Analyze stability data, Catch regressions, Validate new features", "teamCollaboration" : "Cross-functional team; Work with Product; Collaborate with QA; Collaborate with CX; Collaborate with Cloud; Collaborate with Hardware; Collaborate with Manufacturing", "domainKnowledge" : "Network software stack; L3+ network stack; Home WiFi; Ethernet switching; Gateway products; Mesh WiFi systems; Connected home", "domainList" : [ "network-software-stack", "l3-network-stack", "home-wifi", "ethernet-switching", "gateway-products", "mesh-wifi-systems", "connected-home" ], "domainSpecificKnowledge" : [ "Network software stack", "L3+ network stack", "Home WiFi", "Ethernet switching", "Gateway products", "Mesh WiFi systems", "Connected home" ], "innovationCreativity" : "Technological innovation", "problemSolvingSkills" : "Debug issues; Triage issues; Analyze data", "qualificationsBasic" : "5+ years software development experience, 2+ years system design/architecture, Linux experience, Networking experience, Embedded software development experience", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science, C/C++ programming experience, Rust programming experience, Go programming experience, Networking protocols knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At eero, our mission is to serve as the central nervous system of the home. While we began by revolutionizing home WiFi, we aim to create comprehensive solutions that serve both wireless and wired connectivity needs for customers and businesses across the globe. Our cross-functional team, spanning hardware, software, and manufacturing, develops advanced Ethernet switching and gateway products, alongside state of the art security features, to complement our award-winning mesh WiFi systems. As an Amazon company, we combine the best of startup culture with the resources and stability of one of the world's leading technology companies. Our team builds products that customers love - from mesh routers to high-performance wired networking devices - and we're looking for you to join us in shaping the future of the connected home. eero is looking for an experienced software development engineer on the Connectivity - Systems software team. Responsibilities will include improving the management plane, implementing new customer features and improving our fleet observability. This engineer will focus on L3+ in the network software stack with Golang, Python and Rust. This role will require an extremely technical engineer who can understand the details of building a product from the ground up. Unsurprisingly, this team's work is integral in delivering our core product experience. This is a fantastic opportunity to have a significant impact on all aspects of a new product while working to build a world-class company that embodies great design, attention to detail, technological innovation, and quality. Key job responsibilities - Regularly deliver high impact customer features on tight timelines. - Debug and triage any issues found in production and QA - Software development and meticulous code reviews in Go, C, and Python. Rust is a bonus! - Analyze performance and stability data from our testing and production populations to catch regressions and validate new features. A day in the life eero is a small and lean team. This means you'll enjoy an outsized impact and the benefit of having many different responsibilities. All within a day you'll develop and work on new features, analyze stability of these features, request reproduction of a bug from QA, review a technical spec with the team, perform a code reviewing , phone screen a candidate, prioritize incoming CX tickets, and collaborate with product on the feasibility of a new customer experience. This role has a little bit of everything which keeps it challenging and fun. About the team The Connectivity systems team is responsible for the control and management plane software that goes on eero hardware. Most of this software runs at L3+ on the network stack. Our goal is to deliver the ultimate connectivity experience to our customers. We work closely with Customer Experience, Product, Cloud, QA, Hardware, Product Analytics, and Manufacturing Operations teams. - Interested in exploring career opportunities with eero? Visit our careers page to view all open positions: https://www.amazon.jobs/content/en/teams/devices-services/hardware-eero?country%5B%5D=US&keyword%5B%5D=eero Basic Qualifications: - 5+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience with linux and networking - Experience with embedded software development Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience programming in either C/C++, Rust or Go is required along with knowledge of networking protocols - Experience programming in either C/C++, Rust or Go is required along with knowledge of networking protocols Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Embedded Software Engineer, Connectivity Systems at Amazon.com Services LLC. Skills: Embedded software, Connectivity systems, Network software. Improve management plane. 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With Finance, Product, Engineering; Across revenue teams", "domainKnowledge" : "High-growth SaaS; GTM tooling stack; Revenue operations; Frontline hiring software", "domainList" : [ "high-growth-saas", "gtm-tooling-stack", "revenue-operations", "frontline-hiring-software" ], "domainSpecificKnowledge" : [ "High-growth SaaS", "GTM tooling stack", "Revenue operations", "Frontline hiring software" ], "toolProficiency" : [ "HubSpot", "Gong", "LinkedIn Sales Navigator", "ZoomInfo" ], "continuousLearning" : "Learning & development stipend", "problemSolvingSkills" : "Eliminate redundancy; Resolve disputes; Consolidate systems", "outcomesObjectives" : "Improve operational health; Ensure data integrity; Improve forecasting accuracy; Drive GTM adoption; Reduce friction; Improve decision making", "qualificationsBasic" : "5–8+ years in revenue operations or GTM systems roles, Direct ownership of revenue tech stack, Post-acquisition or multi-entity experience, Deep HubSpot expertise, Forecasting and analytics fluency, Deal desk experience, Cross-functional credibility, Hands-on builder", "qualificationsPreferred" : "Experience consolidating GTM tech stacks across multiple acquisitions, Background supporting new business and expansion/renewal motions, Familiarity with Gong, ZoomInfo, or LinkedIn Sales Navigator, Exposure to deal desk, pricing strategy, or commercial operations", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT HUMANLY Humanly builds AI-native hiring software that turns recruiting from a reactive scramble into a predictable system. Built for hourly, frontline, and high-volume hiring, we don't just give teams tools — we deliver pre-vetted, ready-to-hire candidates on demand. Our AI conducts over 9,000 interviews a day for hundreds of customers, including Microsoft, Domino's, MGM Resorts, and Massage Envy. We recently closed a $25M Series B, and we're using it to accelerate what's already working: expanding the platform, growing the team, and deepening our reach with the companies who rely on us. Headquartered in Bellevue, WA with a team that spans the globe, we're at the stage where the foundation is built, the momentum is real, and the ceiling is wherever we decide to put it. We call ourselves Human Beans. We take ownership, move fast, and care about doing the right thing — for our customers, for candidates, and for each other. AI is core to what we build, and we're intentionally building a workplace where it's embedded in how we work too. We know the future is changing, and we're changing with it. If that's the kind of place where you do your best work, we'd love to meet you. THE ROLE Humanly has grown fast – through product expansion, multiple acquisitions (Qualifi, Sprockets, Anthill, Teamable), and an increasingly complex go-to-market motion. The revenue org now spans Sales, Marketing, Customer Success, and Partnerships, each running on a patchwork of systems, processes, and data inherited from those growth phases. The infrastructure is largely in place. What's missing is someone who can take ownership of it – optimizing what exists, eliminating the debt that's accumulated, and building the operational foundation that lets every revenue team move faster and with more confidence. That's this role. As the Head of Revenue Operations & Systems, you'll own the full revenue systems ecosystem end-to-end: HubSpot architecture, data integrity, forecasting infrastructure, GTM tooling, deal desk, and cross-functional operational alignment. You're not a support function – you're the person Sales, CS, Marketing, and Partnerships come to when the systems, data, or rules of engagement aren't working. You'll also serve as the neutral tiebreaker on ROE disputes across revenue teams. This is an individual contributor role. There's no team to inherit and no playbook to follow – you'll write both. You'll report directly to the VP of Sales and have a direct line to leadership across every GTM function. WHAT YOU'LL DO REVENUE SYSTEMS ARCHITECTURE & OPTIMIZATION - Own the performance, scalability, and operational health of the full revenue systems ecosystem - Govern HubSpot architecture – account/contact/opportunity structure, lifecycle stages, territory logic, routing, and attribution - Own and optimize the full GTM tooling stack (HubSpot, Gong, LinkedIn Sales Navigator, ZoomInfo, and adjacent tools) – configuration, adoption, vendor relationships - Eliminate redundancy and technical debt across integrated platforms; consolidate and rationalize where needed DATA INTEGRITY & REVENUE TRUST - Own CRM data quality standards, deduplication, account hierarchy, and source-of-truth definitions across all integrated platforms - Lead active cleanup of inherited workflows, duplicate records, broken automations, and inconsistent data structures from acquisition activity - Ensure that Sales, CS, Finance, and Partnerships leadership can make decisions from a single, reliable data environment – and hold yourself accountable for measurably improving it over time FORECASTING & REVENUE INTELLIGENCE - Mature the forecasting and reporting infrastructure from functional to predictive - Deliver leadership-ready visibility into pipeline health, conversion performance, rep productivity, expansion opportunities, and customer lifecycle movement - Own the KPI framework across GTM functions – define it, maintain it, and drive adoption CROSS-FUNCTIONAL GTM OPERATIONS & DEAL DESK - Serve as the operational connective tissue across Sales, Marketing, CS, Partnerships, Finance, Product, and Engineering - Translate GTM strategy into scalable systems and processes; reduce friction and eliminate duplicate workflows across GTM handoffs - Run deal desk for new business and expansion/renewal deals – review deal structures, pricing, and terms; serve as the escalation point for non-standard requests - Act as the neutral, outside vote on rules of engagement disputes when revenue teams have conflicting claims on accounts, territories, or process ownership OPERATIONAL SCALABILITY - Audit and rationalize the current tech stack – identify redundant tools, underutilized systems, and inefficient workflows - Build scalable account hierarchy models and cross-platform reporting alignment that can absorb future growth - Maintain operational readiness for future acquisitions – documented integration patterns, clean data baselines, and established playbooks WHAT YOU'LL BRING - 5–8+ years in revenue operations or GTM systems roles – ideally in a high-growth SaaS environment, with direct ownership of the revenue tech stack (not just administration of it) - Post-acquisition or multi-entity experience – you've navigated inherited systems, conflicting data structures, and the operational complexity that comes with rapid growth; you know what it takes to consolidate without breaking what works - Deep HubSpot expertise – architecture, governance, workflow design, and optimization across a multi-platform environment; you can build it, break it, and fix it yourself - Forecasting and analytics fluency – you can build reporting infrastructure from scratch, mature it from functional to predictive, and get GTM leadership to actually trust and use it - Deal desk experience – comfortable reviewing deal structures, pricing, and commercial terms; able to hold the line on margin integrity without slowing down the business - Cross-functional credibility – you earn trust through operational reliability, not just technical skill; Sales, CS, Finance, and Exec teams see you as a partner, not a ticket queue - Hands-on builder – this is an IC role; you do the work yourself and take pride in it - AI fluency in your own work – you're already using AI tools to work faster and smarter, not just thinking about it EVEN BETTER - Experience consolidating GTM tech stacks across multiple acquisitions - Background supporting both new business and expansion/renewal motions simultaneously - Familiarity with Gong, ZoomInfo, or LinkedIn Sales Navigator in an operational capacity - Exposure to deal desk, pricing strategy, or commercial operations in a SaaS environment WHAT WE OFFER - Collaborate with a diverse and passionate team dedicated to transforming the hiring landscape - Competitive compensation + equity - Company sponsored medical, dental, and vision plans for employees - Learning & development stipend - Wellness stipend - 401(k) program - 12 weeks fully paid parental leave - Flexible PTO - Recognition programs and prizes - Company retreats and team building events!", "summaryDescription" : "Manager of Revenue Operations & Systems at Humanly. 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We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process This is a rare opportunity to step into a genuinely high-impact leadership role at the forefront of AI transformation, with a particular focus on agentic AI and autonomous systems. As Head of Engineering (AI Enablement), you’ll shape how intelligent agents are designed, orchestrated, and deployed across the organisation - moving beyond traditional AI use cases into systems that can reason, act, and collaborate to drive real business outcomes. You’ll play a pivotal role in turning emerging capabilities into scalable, production-grade solutions, defining how AI agents augment teams, accelerate decision-making, and unlock entirely new ways of working. You’ll operate in a highly collaborative, stakeholder-rich environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation, you’ll drive alignment on how agentic AI is embedded across key platforms and workflows. This is a role for someone who thrives on both technical depth and organisational impact - someone who can design architectures for intelligent systems, while also building the relationships and momentum needed to scale them enterprise-wide. If you’re excited by the challenge of shaping how autonomous AI systems are safely and effectively adopted at scale, this is a chance to define the future direction of AI within a complex, evolving organisation. Key Responsibilities * Lead, grow, and deploy a multidisciplinary team of Forward Deployed AI Engineers across key business domains * Allocate engineering capability across strategic initiatives based on business priority and impact * Establish and embed best practices for agentic systems, AI workflows, LLM integrations, and AI-enabled tooling * Drive a high-performance engineering culture focused on rapid iteration, reliability, and measurable business outcomes * Act as the primary AI engineering partner to senior stakeholders across Product, Fashion, Supply Chain, Finance, Customer Care, Procurement, and Technology * Translate complex business challenges into scalable AI solutions and prioritised delivery opportunities * Shape and align AI roadmaps with domain leaders, identifying high-ROI automation and augmentation use cases * Lead end-to-end delivery of agentic AI solutions, including copilots, workflow agents, decision systems, and automation platforms * Ensure seamless progression from discovery through to production deployment, embedding AI-native and human-in-the-loop operating models * Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design * Ensure AI systems are scalable, secure, observable, and cost-efficient, with robust evaluation and reliability frameworks * Partner with platform teams to align with Azure AI strategy, governance, and enterprise engineering standards, while establishing scalable delivery and operational models * Partner with functional leaders to support reshaping and evoling hybrid-human agentic organizations ## Qualifications * Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems * Strong hands-on expertise in AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design * Track record of taking AI or advanced technology solutions from concept and prototype through to scalable production deployment * Experience working at the intersection of engineering and the business—translating strategic goals into technical delivery * Demonstrated ability to partner effectively with senior stakeholders and influence across multiple domains in a large, complex organisation * Experience shaping roadmaps, prioritising work, and driving alignment across product, engineering, and business teams * Strong stakeholder management and communication skills, with the ability to build credibility quickly and drive adoption of new capabilities * Experience leading or contributing to enterprise transformation initiatives, particularly where new technologies are being introduced at scale * Strong understanding of modern AI architecture patterns (e.g. LLM applications, orchestration, RAG, agentic workflows) and cloud-based delivery environments * Experience working in cloud-first environments, ideally within Microsoft Azure (including Azure AI services), or equivalent platforms (AWS/GCP), with the ability to operate effectively in an Azure-aligned ecosystem * Experience establishing engineering standards, delivery frameworks, and best practices within growing or evolving teams * A track record of delivering measurable business impact through technology—balancing speed, quality, and commercial outcomes * Experience operating in hybrid leadership roles that combine technical depth, delivery ownership, and organisational influence ## Additional Information BeneFITS’ * Employee discount (hello ASOS discount!) * Employee sample sales * 25 days paid annual leave + an extra celebration day for a special moment * Discretionary bonus scheme * Private medical care scheme * Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits * Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role", "summaryDescription" : "Head of Agentic Systems Engineering at ASOS. Skills: Agentic AI, AI Enablement, Autonomous Systems. Lead multidisciplinary team. Grow multidisciplinary team", "postedDate" : "2026-06-15T16:15:26.000", "createdAt" : "2026-06-15T23:51:41.413", "lastUpdated" : "2026-06-16T09:02:38.057", "ingestTimestamp" : "2026-06-15T23:51:41.413", "mongoId" : "6a3068a7f292fd229cfc4ea6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "AI integration", "AI orchestration", "AI application design", "AI workflows", "LLM integration", "Autonomous systems", "Leadership", "Agentic AI", "AI Enablement", "Autonomous Systems", "System design", "Solution design", "Stakeholder management", "Organizational influence", "Roadmap planning", "Prioritisation", "LLM applications", "Orchestration", "RAG", "Agentic workflows", "Cloud-based delivery" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3053fcf292fd229cf1579b", "title" : "Head of Agentic Systems Engineering", "company" : "ASOS", "industry" : "Retail", "salary" : { "min" : 180000.0, "max" : 270000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Head of Agentic Systems Engineering in London, UK, adjusted for company size and industry." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T06:57:48.161", "fingerprint" : "b485b8007b59de3f459be80484e14b296d521ba49e664b14887315d41934a9f9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ASOS/744000132242657-head-of-agentic-systems-engineering-", "externalId" : "744000132242657", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, ML, LLM, Agentic AI, RAG patterns, Azure AI, AWS, GCP", "professionalSkills" : [ "System design", "Solution design", "Stakeholder management", "Roadmap planning", "Delivery ownership", "Organisational influence" ], "hardSkillsList" : [ "AI integration", "AI orchestration", "AI application design", "AI workflows", "LLM integration", "Agent orchestration", "RAG patterns", "AI application design", "AI system scalability", "AI system security", "AI system observability", "AI system cost-efficiency", "AI reliability frameworks", "AI governance", "Enterprise engineering standards", "Delivery models", "Operational models" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI integration", "level" : "intermediate" }, { "name" : "AI orchestration", "level" : "intermediate" }, { "name" : "AI application design", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "LLM integration", "level" : "intermediate" }, { "name" : "Agent orchestration", "level" : "intermediate" }, { "name" : "RAG patterns", "level" : "intermediate" }, { "name" : "AI application design", "level" : "intermediate" }, { "name" : "AI system scalability", "level" : "intermediate" }, { "name" : "AI system security", "level" : "intermediate" }, { "name" : "AI system observability", "level" : "intermediate" }, { "name" : "AI system cost-efficiency", "level" : "intermediate" }, { "name" : "AI reliability frameworks", "level" : "intermediate" }, { "name" : "AI governance", "level" : "intermediate" }, { "name" : "Enterprise engineering standards", "level" : "intermediate" }, { "name" : "Delivery models", "level" : "intermediate" }, { "name" : "Operational models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, AI Enablement, LLM Architectures, Autonomous Systems", "majorSkillsList" : [ "Agentic AI", "AI Enablement", "LLM Architectures", "Autonomous Systems" ], "coreResponsibilities" : "Lead AI engineering team, Grow AI engineering team, Deploy AI engineering team, Allocate engineering capability, Establish best practices, Embed best practices, Drive engineering culture, Act as AI partner, Translate business challenges, Shape AI roadmaps, Align AI roadmaps, Identify automation use cases, Identify augmentation use cases, Lead end-to-end delivery, Ensure seamless progression, Embed AI-native models, Embed human-in-the-loop models, Provide technical leadership, Ensure AI systems are scalable, Ensure AI systems are secure, Ensure AI systems are observable, Ensure AI systems are cost-efficient, Partner with platform teams, Align with Azure AI strategy, Align with governance, Align with enterprise standards, Establish scalable delivery models, Establish operational models, Partner with functional leaders, Support reshaping organizations, Support evolving organizations", "teamCollaboration" : "Senior leaders; Engineering teams; Product teams; Transformation teams; Domain leaders; Functional leaders", "projectManagementSkills" : [ "Roadmap planning", "Prioritisation" ], "domainKnowledge" : "Agentic AI; Autonomous systems; LLM applications; Agent orchestration; RAG patterns; AI application design; Cloud-based delivery; Azure AI strategy", "domainList" : [ "agentic-ai", "autonomous-systems", "llm-applications", "agent-orchestration", "rag-patterns", "ai-application-design", "cloud-based-delivery", "azure-ai-strategy" ], "domainSpecificKnowledge" : [ "Agentic AI", "Autonomous systems", "LLM applications", "Agent orchestration", "RAG patterns", "AI application design", "Cloud-based delivery", "Azure AI strategy" ], "toolProficiency" : [ "Azure AI services" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Personalised learning", "innovationCreativity" : "Emerging capabilities", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Drive business outcomes; Augment teams; Accelerate decision-making; Unlock new ways of working; Achieve measurable outcomes", "qualificationsBasic" : "Leading high-performing engineering teams, Delivering complex AI systems, Hands-on AI/ML expertise, Hands-on LLM expertise, Hands-on agentic AI expertise, Assessing technical quality, Guiding solution design, Taking AI solutions to production, Taking advanced tech to production, Partnering with senior stakeholders, Shaping AI roadmaps, Prioritising work, Driving alignment across teams, Leading enterprise transformation initiatives, Operating in cloud-first environments, Establishing engineering standards, Establishing delivery frameworks, Establishing best practices, Delivering measurable business impact", "qualificationsPreferred" : "Experience with Azure AI services, Experience with AWS, Experience with GCP, Experience in hybrid leadership roles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process This is a rare opportunity to step into a genuinely high-impact leadership role at the forefront of AI transformation, with a particular focus on agentic AI and autonomous systems. As Head of Engineering (AI Enablement), you’ll shape how intelligent agents are designed, orchestrated, and deployed across the organisation - moving beyond traditional AI use cases into systems that can reason, act, and collaborate to drive real business outcomes. You’ll play a pivotal role in turning emerging capabilities into scalable, production-grade solutions, defining how AI agents augment teams, accelerate decision-making, and unlock entirely new ways of working. You’ll operate in a highly collaborative, stakeholder-rich environment where your influence will extend well beyond engineering. Partnering with senior leaders across engineering, product, and transformation, you’ll drive alignment on how agentic AI is embedded across key platforms and workflows. This is a role for someone who thrives on both technical depth and organisational impact - someone who can design architectures for intelligent systems, while also building the relationships and momentum needed to scale them enterprise-wide. If you’re excited by the challenge of shaping how autonomous AI systems are safely and effectively adopted at scale, this is a chance to define the future direction of AI within a complex, evolving organisation. Key Responsibilities * Lead, grow, and deploy a multidisciplinary team of Forward Deployed AI Engineers across key business domains * Allocate engineering capability across strategic initiatives based on business priority and impact * Establish and embed best practices for agentic systems, AI workflows, LLM integrations, and AI-enabled tooling * Drive a high-performance engineering culture focused on rapid iteration, reliability, and measurable business outcomes * Act as the primary AI engineering partner to senior stakeholders across Product, Fashion, Supply Chain, Finance, Customer Care, Procurement, and Technology * Translate complex business challenges into scalable AI solutions and prioritised delivery opportunities * Shape and align AI roadmaps with domain leaders, identifying high-ROI automation and augmentation use cases * Lead end-to-end delivery of agentic AI solutions, including copilots, workflow agents, decision systems, and automation platforms * Ensure seamless progression from discovery through to production deployment, embedding AI-native and human-in-the-loop operating models * Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design * Ensure AI systems are scalable, secure, observable, and cost-efficient, with robust evaluation and reliability frameworks * Partner with platform teams to align with Azure AI strategy, governance, and enterprise engineering standards, while establishing scalable delivery and operational models * Partner with functional leaders to support reshaping and evoling hybrid-human agentic organizations ## Qualifications * Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems * Strong hands-on expertise in AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design * Track record of taking AI or advanced technology solutions from concept and prototype through to scalable production deployment * Experience working at the intersection of engineering and the business—translating strategic goals into technical delivery * Demonstrated ability to partner effectively with senior stakeholders and influence across multiple domains in a large, complex organisation * Experience shaping roadmaps, prioritising work, and driving alignment across product, engineering, and business teams * Strong stakeholder management and communication skills, with the ability to build credibility quickly and drive adoption of new capabilities * Experience leading or contributing to enterprise transformation initiatives, particularly where new technologies are being introduced at scale * Strong understanding of modern AI architecture patterns (e.g. LLM applications, orchestration, RAG, agentic workflows) and cloud-based delivery environments * Experience working in cloud-first environments, ideally within Microsoft Azure (including Azure AI services), or equivalent platforms (AWS/GCP), with the ability to operate effectively in an Azure-aligned ecosystem * Experience establishing engineering standards, delivery frameworks, and best practices within growing or evolving teams * A track record of delivering measurable business impact through technology—balancing speed, quality, and commercial outcomes * Experience operating in hybrid leadership roles that combine technical depth, delivery ownership, and organisational influence ## Additional Information BeneFITS’ * Employee discount (hello ASOS discount!) * Employee sample sales * 25 days paid annual leave + an extra celebration day for a special moment * Discretionary bonus scheme * Private medical care scheme * Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits * Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role", "summaryDescription" : "Head of Agentic Systems Engineering at ASOS. 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The Systems Engineer should have experience architecting systems, working across the Systems Engineering Lifecycle, a deep understanding of Systems Engineering principles, reverse engineering techniques, and the ability to work with complex software systems and the utilization of Digital Engineering/MBSE to accomplish program goals. The candidate will support STR’s Systems Development Division to achieve architectural integrity and traceability from requirements analysis through system and software development and production system deployment. This position offers the opportunity to work with leading domain experts developing solutions to solve the most challenging national security problems. Our teams consist of motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. The ideal candidate will be experienced in Systems Engineering processes and techniques, Modeling and Simulation, software-based systems, Digital Engineering/MBSE and be excited about opportunities to grow and be a source of subject matter expertise across the organization. The Systems Engineer should have experience implementing a rigorous MBSE approach to develop DoD systems. New programs at STR will be looking to adopt agile approaches that incorporate model-based requirements management and traceability with software development. This position is well suited for a Systems Engineer with a software systems background who is interested in improving the state of the practice and demonstrating the advantages that MBSE can offer. What you will do: Utilize your Systems Engineering skillset as part of a tightly knit team to design, develop, implement, and deploy advanced software systems Analyze, reverse-engineer, derive, and define requirements from ambiguous or incomplete software system implementations and codebases Develop/generate documentation (e. g. Systems Requirements Document, SysML models) to capture requirements of new and existing systems Perform gap analysis between derived requirements and current system capabilities to identify missing features or functionalities Assist other technical contributors throughout the software lifecycle, from early prototypes to fully integrated systems Implement MBSE approaches using SysML in Cameo Work closely with domain experts and software development teams to realize program designs for a diverse set of applications, including: Distributed mission planning Intelligence Surveillance Reconnaissance (ISR) management Decision making support to human analysts/planners This position is based in one of our offices but will take advantage of STR’s flexible, hybrid environment: we anticipate that you could work remotely as much as 25% of the time Any time work does not require use of STR’s facilities, you are welcome to work remotely Who you are: This position requires an Active DoD Top Secret Clearance with SCI eligibility, for which U. S. citizenship is needed by U. S. Government BS, MS or PhD in Systems Engineering, Computer Science, Aerospace Engineering, Electrical Engineering, or a related technical field Experience implementing open architectures and integrating with large scale software-intensive systems and platform systems Strong ability to derive requirements from existing software and capture new customer requirements, and translate those into development tasks for software teams Comfortable working in dynamic environments and adjusting to changing priorities Minimum of 2 years work experience as a Systems Engineer or related field Experience architecting systems using system modeling tools (SysML in Cameo) Even Better: Domain expertise or familiarity with one or more of the following areas is highly desirable: Sea, air, and space platforms, mission planning, and C2 systems Sensor Resource Management Electronic Warfare Software deployment in cloud-based systems Government Open System Architectures (UCI, OMS, COARPS) 5+ years of experience in architecting systems using system modeling tools (SysML in Cameo) Experience porting models/designs from SparxEA to Cameo Experience in Java, Python, or object-oriented programming languages Agile software development experience and/or certification Pay Information Full-Time Salary Range: $110,000 - $150,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.", "summaryDescription" : "Model-Based Systems Engineer at STR", "postedDate" : "2026-06-15T23:22:53.102", "createdAt" : "2026-06-15T23:22:53.102", "lastUpdated" : "2026-06-16T08:27:42.989", "ingestTimestamp" : "2026-06-15T23:22:53.102", "mongoId" : "6a3057b0f292fd229cf3d1ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210eaf74d8ee00a0af8e6d", "title" : "Senior Connectivity Software Developer, Embedded Systems/Firmware, XR", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Connectivity Software Developer, Embedded Systems/Firmware, XR in San Jose, United States, adjusted for seniority and industry." }, "location" : "[San Jose, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "locations" : [ "[San Jose, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "[Waterloo, ON, Canada, [Waterloo, ON, Canada], Waterloo, null, ON, CA]" ], "timestamp" : "2026-06-16T10:44:45.255", "fingerprint" : "25e84d3897933bc188051f136ee6fddc2339dcfc3813d6a493ae52c6928f619e", "source" : "google", "language" : "en", "externalId" : "73628555589624518", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "summaryDescription" : "Senior Connectivity Software Developer, Embedded Systems/Firmware, XR", "postedDate" : "2026-06-16T01:48:22.708", "createdAt" : "2026-06-16T01:48:22.708", "lastUpdated" : "2026-06-16T10:44:45.255", "ingestTimestamp" : "2026-06-16T01:48:22.708", "mongoId" : "6a210eaf74d8ee00a0af8e6d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "696082670937eae70e9c8a7d", "title" : "Traffic Systems Specialist or II", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 45521.0, "max" : 76028.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Mesquite-Dallas District Headquarters", "locations" : [ "UST-Texas-Mesquite-Dallas District Headquarters", "Yearly", "Nonexempt,
Dallas District Headquarters (18DISTHQ)
4777 EAST HIGHWAY 80
Mesquite, 75150

, Dallas District Headquarters" ], "certifications" : [ "Class \"A\" CDL" ], "timestamp" : "2026-06-15T05:05:17.357", "fingerprint" : "16ed3b8e807dc6e807f0b4612aa3444973dd8758f31f953e659d77ba111af451", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42532", "externalId" : "42532", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mesquite", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7666103,-96.5994720" } ], "locationText" : "Mesquite, Texas, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Electronic systems, Electrical systems", "hardSkillsList" : [ "Repair electrical equipment", "Troubleshoot electrical equipment" ], "hardSkills" : [ { "name" : "Repair electrical equipment", "level" : "intermediate" }, { "name" : "Troubleshoot electrical equipment", "level" : "intermediate" } ], "majorSkills" : "Traffic signal maintenance, Roadway illumination, School flashers", "majorSkillsList" : [ "Traffic signal maintenance", "Roadway illumination", "School flashers" ], "coreResponsibilities" : "Maintain traffic signals, Maintain roadway illumination, Maintain school flashers, Inspect contractor construction methods, Perform specialized repair, Troubleshoot electrical equipment", "domainKnowledge" : "Traffic signals; Roadway illumination; School flashers; Electrical equipment", "domainList" : [ "traffic-signals", "roadway-illumination", "school-flashers", "electrical-equipment" ], "domainSpecificKnowledge" : [ "Traffic signals", "Roadway illumination", "School flashers", "Electrical equipment" ], "continuousLearning" : "Company-sponsored CDL Training", "problemSolvingSkills" : "Problem solver", "specialRequirements" : "Recruitment bonus available", "qualificationsBasic" : "Class \"A\" CDL Holders, No transmission restrictions preferred", "qualificationsPreferred" : "Current Class \"A\" CDL Holders", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have experience in electronic/electrical systems? Do you enjoy getting outdoors, away from a desk during your workday? Are you a problem solver who enjoys a challenge? If so, we want to hear from you! TxDOT's Dallas District Signal Shop is looking for a Traffic Systems Specialist I or II position based in Mesquite, TX. As a Traffic Systems Specialist I or II you will be responsible for maintaining traffic signals, roadway illumination, and school flashers while also inspecting construction methods of contractors and performing specialized work in the repair and troubleshooting of other electrical equipment. All while building an exciting career at the same time. *RECRUITMENT BONUS AVAILABLE: Up to $5,000.00 Recruitment Bonus available for current Class \"A\" CDL Holders (no transmission restrictions preferred). Applies to eligible external applicant(s) only.* We offer company-sponsored CDL Training with $0 upfront monetary commitment. Earn your full salary while training with lodging, transportation and per-diem provided if necessary. Position Title: Salary Grade/Range: Traffic Systems Specialist I B18: $45,521.00 - $71,055.00 Traffic Systems Specialist II B19: $48,244.00 - $76,028.00 This position is for one (1) Traffic Systems Specialist I or II depending on business needs and the applicants' qualifications. The Texas Department of Transportation reserves the sole right in determining the level of position based on the applicants' work experience, education, skill level and all other appropriate factors, and based on business needs. 45,521.00 76,028.00", "summaryDescription" : "Traffic Systems Specialist or II at TxDOT. Skills: Traffic signal maintenance, Roadway illumination, School flashers. Maintain traffic signals. Maintain roadway illumination", "createdAt" : "2026-06-14T06:42:34.471", "lastUpdated" : "2026-06-15T05:05:17.357", "ingestTimestamp" : "2026-06-14T06:42:34.471", "mongoId" : "696082670937eae70e9c8a7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45521, "salaryAnnualMax" : 76028, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Repair electrical equipment", "Troubleshoot electrical equipment", "Traffic signal maintenance", "Roadway illumination", "School flashers", "Traffic signals", "Electrical equipment", "Class \"A\" CDL" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "6a0ac3171663d49372e0c77f", "title" : "Functional Analyst", "company" : "DataMap", "location" : "Overland Park, KS", "locations" : [ "Overland Park", "KS" ], "timestamp" : "2026-06-16T04:01:18.853", "fingerprint" : "54de8edc4271f97e7061905133dd8663eba3e3bdfc6155eff0ab79ed74e8abf9", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://datamap.breezy.hr/p/0414c3370ac7-functional-analyst-i", "externalId" : "0414c3370ac7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "overland park", "state" : "kansas", "country" : "United States", "continent" : "north america", "source" : "locations-index", "geo" : "38.98223,-94.67079" } ], "locationText" : "Overland Park, KS", "employmentType" : "FULL_TIME", "summaryDescription" : "Functional Analyst at DataMap", "createdAt" : "2026-06-14T18:38:12.740", "lastUpdated" : "2026-06-16T04:01:18.853", "ingestTimestamp" : "2026-06-14T18:38:12.740", "mongoId" : "6a0ac3171663d49372e0c77f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.0 }, { "id" : "69c94a6e9bc74574cbbb3866", "title" : "Embedded Software Development Engineer II, Amazon Robotics Embedded Safety Systems", "company" : "Amazon.com Services LLC", "industry" : "Software Development, subsidiaries", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Reading, Massachusetts, USA", "locations" : [ "North Reading, Massachusetts, USA" ], "timestamp" : "2026-06-15T02:22:25.967", "fingerprint" : "5650b8c121e3e1622c4ef761bb2a8c2cb01392a4898f0af702eb70f880d989c2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3197434/apply", "externalId" : "206e8e44-ac88-438b-897c-8e45a6b1cfd8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Reading", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5750939,-71.0786653" } ], "locationText" : "North Reading, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C, C++, Rust", "professionalSkills" : [ "System design", "Safety standards" ], "hardSkillsList" : [ "Embedded development", "Software development", "Code reviews", "Source control management", "Build processes", "Testing", "Operations" ], "hardSkills" : [ { "name" : "Embedded development", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "Source control management", "level" : "intermediate" }, { "name" : "Build processes", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Operations", "level" : "intermediate" } ], "majorSkills" : "Embedded software, Safety systems, C/C++/Rust", "majorSkillsList" : [ "Embedded software", "Safety systems", "C/C++/Rust" ], "coreResponsibilities" : "Design embedded software components, Implement embedded software components, Ensure high quality code, Ensure maintainable code, Meet rigorous safety standards, Collaborate cross-functionally, Integrate products and solutions, Participate full product development lifecycle, Provide feedback during code reviews, Contribute improving software quality, Explore EdgeAI possibilities, Implement EdgeAI possibilities, Maintain deterministic behavior, Maintain reliable performance", "teamCollaboration" : "Cross-functional teams; Hardware design teams; Manufacturing teams; Software teams; Mechanical teams; Electrical teams; Cloud software teams; Fleet management teams; Field support teams", "projectManagementSkills" : [ "Scoping", "Design", "Coding", "Deployment", "Maintenance" ], "domainKnowledge" : "Embedded safety systems; Robotic solutions; EdgeAI; Resource-constrained systems; Safety-certified solutions", "domainList" : [ "embedded-safety-systems", "robotic-solutions", "edgeai", "resource-constrained-systems", "safety-certified-solutions" ], "domainSpecificKnowledge" : [ "Embedded safety systems", "Robotic solutions", "EdgeAI", "Resource-constrained systems", "Safety-certified solutions" ], "documentationSkills" : "Document work", "innovationCreativity" : "Explore new possibilities", "problemSolvingSkills" : "Debug tricky problems", "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture, Experience in embedded development C/C++, Experience full software development life cycle, Bachelor's degree or equivalent", "qualificationsPreferred" : "3+ years full software development life cycle, Experience general troubleshooting/debugging hardware, Experience writing low level drivers, Experience embedded wireless systems, Knowledge computer architecture, Knowledge operating systems, Knowledge parallel computing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our Safety Firmware team at Amazon Robotics and be at the forefront of embedded safety systems development. As a Software Development Engineer II, you'll bridge hardware and software in creating safety-certified solutions for Amazon's warehouse automation systems. Your expertise in C/C++/Rust programming will be essential as you design, implement, test, and maintain embedded software components that ensure people remain safe around our robotic solutions. In this role, you'll collaborate across multiple engineering disciplines, working with mechanical, electrical, cloud software, fleet management, manufacturing, and field support teams. You'll explore the latest development of EdgeAI on resource-constrained embedded systems while adhering to rigorous safety standards and implementing deterministic behavior that protects people interacting with automated robotic solutions. Key job responsibilities - Design and implement embedded software components for safety-critical systems using C/C++/Rust, ensuring high quality, maintainable code that meets rigorous safety standards - Collaborate cross-functionally with hardware design, manufacturing, and software teams to integrate products and solutions end-to-end, from initial design through field deployment - Participate in the full product development lifecycle including scoping, design, coding, testing, deployment, and maintenance of embedded safety systems - Provide meaningful feedback during code reviews and contribute to improving software quality, customer experience, and maintainability across your team's products - Explore and implement new possibilities for EdgeAI on resource-constrained embedded systems while maintaining deterministic behavior and reliable performance A day in the life Your day begins with a team sync-up through a standup meeting or messaging platform to align on priorities and progress. From there, you might spend time collaborating with cross-functional teams to design a complex system, implement embedded software components, work with hardware teams on integration challenges, or debug tricky problems. You'll review peers' code commits, contribute to continuous integration systems, and document your work to ensure knowledge sharing across teams. Throughout the day, you'll balance technical work with communication to ensure safety requirements are met while delivering high-performance embedded solution Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Join the world-leading Safety Firmware team at Amazon Robotics, where we develop embedded safety systems deployed across Amazon's robotic fleet. We specialize in safety-certified solutions that combine rigorous standards compliance with deterministic, reliable performance. Our \"secret sauce\" is integrating safety considerations from initial design through delivery, enabling us to meet ambitious schedules without compromising quality. As Amazon's automation portfolio expands, our team has evolved into specialized groups united by common DNA and a shared commitment to excellence in safety-critical embedded software development. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Bachelor's degree or equivalent Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience with general troubleshooting/debugging of hardware - Experience writing low level drivers - Experience in embedded wireless systems - Knowledge of computer architecture, operating systems, and parallel computing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, North Reading - 143,700.00 - 194,400.00 USD annually USA, MA, Westboro - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Embedded Software Development Engineer II, Amazon Robotics Embedded Safety Systems at Amazon.com Services LLC. Skills: Embedded software, Safety systems, C/C++/Rust. Design embedded software components. 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Supplier teams; Internal/ external Function development team; PM/ Carline team; Internal/ external software team; Testing team; Vehicle testing team", "projectManagementSkills" : [ "Planning", "Organizational skills" ], "domainKnowledge" : "ADAS/AD System functions; China market; Sensors; Camera; Radar; Lidar; USS; IMU; AD domain controller; ASPICE process; Embedded software development; CP/AP AUTOSAR projects; Platform health monitoring; State management; Error management; Global time synchronization; ADAS L2+; ADAS L2++; ADAS L3", "domainList" : [ "adas-ad-system-functions", "china-market", "sensors", "camera", "radar", "lidar", "uss", "imu", "ad-domain-controller", "aspice-process", "embedded-software-development", "cp-ap-autosar-projects", "platform-health-monitoring", "state-management", "error-management", "global-time-synchronization", "adas-l2", "adas-l3" ], "domainSpecificKnowledge" : [ "ADAS/AD System functions", "China market", "Sensors", "Camera", "Radar", "Lidar", "USS", "IMU", "AD domain controller", "ASPICE process", "Embedded software development", "CP/AP AUTOSAR projects", "Platform health monitoring", "State management", "Error management", "Global time synchronization", "ADAS L2+", "ADAS L2++", "ADAS L3" ], "toolProficiency" : [ "CANoe", "DiVa", "VFlash", "CANalyzer", "VN1640" ], "documentationSkills" : "ASPICE documents; System requirement; Status report; Release reports", "innovationCreativity" : "Design the state of art system architecture", "problemSolvingSkills" : "Issue resolution; Issue tracking; Issue analyzing; First layer analysis", "specialRequirements" : "Willingness to travel inside China, Willingness to travel oversea", "outcomesObjectives" : "Function release approval", "qualificationsBasic" : "5 years of relevant work experience, Good understanding of embedded software development/ architecture, Familiar with C, C++, Familiar with scripting languages, Experience in development of CP/AP AUTOSAR projects, Experience in development of platform health monitoring, Experience in state management, Experience in error management, Experience in global time synchronization, Experience in start up and shut down, Familiar with ADAS L2+, L2++ functions, Fluent English", "qualificationsPreferred" : "SOP experience, Familiar with ADAS L3 or above functions, NVIDIA platform development experience, German is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job Design MB next generation ADAS/AD System functions for China market together with RD teams in Head Quarter and supplier. Be Responsible for ADAS/AD base layer function requirement and specification defining, includes sensors (camera, radar, Lidar, USS, IMU) and AD domain controller. Be Responsible for corresponding ASPICE process& documents. Lead System and Software development process for base layer function development based on defined requirements, in cooperation with internal/ external Function development team. Define the feature rollout plan and delivery milestone and coordinate with PM/ Carline team. Lead the development process, responsible for function release approval. Lead resolving process of issues. Responsible for top issue tracking and analyzing. Task description 1. Design MB next generation ADAS/AD System functions for China market together with RD teams in Head Quarter and supplier. Understand MB ADAS/AD function strategy and technology Evaluate and clarify use cases of China situations and assess the adaptations needed Work together with internal partners Collect and prepare relevant info describing China specification and design MB next generation ADAS/ADtogether with RD German counterparts Complete responsibility of PoC projects Design the state of art system architecture of ADAS/AD Functions. 2. Be Responsible for ADAS/AD base layer function requirement and specification defining, includes sensors (camera, radar, Lidar, USS, IMU) and AD domain controller. Be Responsible for corresponding ASPICE process& documents. Act as owner of ADAS/AD base layer functions Plan routine benchmarking and market analysis activities with testing team and continues provide assessment result Define the ADAS/AD base layer function system requirement in Door’s system and lead the review activity between internal/ external software and testing team Maintain the ASPICE SYS.1 – SYS.3 system requirement and tracking on corresponding traceability status on SWE documents from SW team 3. Define the feature rollout plan and delivery milestone and coordinate with PM/ Carline team. Define the feature rollout plan which considering the feature maturity, EE integration into prototype Be responsible for all the delivery on milestone and provide regular status report and release reports 4. Leading the development process Keep monitoring software release status/ reports Support Validation Engineer to create SYS.4-6 process and documents Join the vehicle testing, be responsible for providing the judgement on function release maturity 5. Lead issue solving process. Responsible for top issue tracking and analyzing Work as first contact person for issues in responsible function First layer analysis on the critical issues and create ticket to corresponding competency team Qualification Education Bachelor’s or above degree in Electrical or Computer Engineering, Computer Science, Vehicle engineering, or related field of study experience. Experience Minimum 5 years of relevant work experience in vehicle ADAS related fields in OEM/Tier1, SOP experience would be preferred. Good understanding of embedded software development/ architecture. Be familiar with C, C++ and scripting languages such as Python. Experience in the development of CP/AP AUTOSAR projects. Experience in the development of platform health monitoring, state management, error management, global time synchronization and start up and shut down. Be familiar with ADAS L2+, L2++ functions. L3 or above functions would be preferred. Based on NVIDIA platform development experience preferred. Familiarity with CANoe, DiVa, vFlash, CANalyzer, VN1640, etc. Strong planning and organizational skills. Strong leadership and interpersonal skills, with the ability to drive alignment across different teams Willingness to travel inside China and oversea. Fluent English, German is a plus. Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "ADAS Function System Engineer at Mercedes-Benz Digital Tech Ltd.. Skills: ADAS, System engineering, Function development. Design MB next generation ADAS/AD System functions. Understand MB ADAS/AD function strategy", "createdAt" : "2026-06-14T21:18:57.514", "lastUpdated" : "2026-06-16T02:15:15.831", "ingestTimestamp" : "2026-06-14T21:18:57.514", "mongoId" : "6a191e7758b93c861e39f7f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Embedded software development", "Software architecture", "Leadership", "ADAS", "System engineering", "Function development", "System design", "Organizational skills", "Leadership skills", "Interpersonal skills", "Planning", "ADAS/AD System functions", "China market", "Sensors", "Camera", "Radar", "Lidar", "USS", "IMU", "AD domain controller", "ASPICE process", "CP/AP AUTOSAR projects", "Platform health monitoring", "State management", "Error management", "Global time synchronization", "ADAS L2+", "ADAS L2++", "ADAS L3", "CANoe", "DiVa", "VFlash", "CANalyzer", "VN1640" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f751", "title" : "SAP Treasury and Risk Management (TRM) Functional", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for SAP Treasury and Risk Management (TRM) Functional Lead roles in Bangalore, India, adjusted for industry and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "SAP Certification in Treasury and Risk Management" ], "timestamp" : "2026-06-16T02:23:33.805", "fingerprint" : "64296df268145e5bb57cf97feb3b0fcc067d3732e7a58801a3dfbcda6f892e07", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=880985", "externalId" : "880985", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "technicalSkills" : "SAP Treasury, S/4HANA, SAP FICO, GL, AP, AR, Asset Accounting", "professionalSkills" : [ "Treasury", "Risk Management", "Cash Management", "Liquidity Management", "Credit Risk", "Exposure Management", "Financial instruments" ], "hardSkillsList" : [ "SAP implementation", "System integration" ], "hardSkills" : [ { "name" : "SAP implementation", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "SAP Treasury, S/4HANA Finance, Cash Management", "majorSkillsList" : [ "SAP Treasury", "S/4HANA Finance", "Cash Management" ], "coreResponsibilities" : "Understand existing Legacy as-is application, Understand business set up, Implement all sub-modules of SAP treasury, Participate in BPP workshops, Design solutions in SAP, Implement solutions in SAP, Provide architectural suggestions on set up, Provide architectural suggestions on integration, Lead a team of functional consultants, Lead a team of technical consultants, Draw up proposals for the project, Draw up plans for the project", "teamCollaboration" : "Lead a team", "projectManagementSkills" : [ "Project planning", "Proposal writing" ], "domainKnowledge" : "Treasury; Risk Management; Financial instruments; Credit Risk; Cash Management; Liquidity Management; Bank Communication Management; In-House Cash", "domainList" : [ "treasury", "risk-management", "financial-instruments", "credit-risk", "cash-management", "liquidity-management", "bank-communication-management", "in-house-cash" ], "domainSpecificKnowledge" : [ "Treasury", "Risk Management", "Financial instruments", "Credit Risk", "Cash Management", "Liquidity Management", "Bank Communication Management", "In-House Cash" ], "toolProficiency" : [ "SAP TRM", "S/4HANA" ], "continuousLearning" : "Continuous learning opportunities", "problemSolvingSkills" : "Architectural suggestions", "qualificationsBasic" : "Hands-on experience in SAP Treasury and Risk Management (TRM) modules, Proficiency in S/4HANA Finance, Experience in Cash Management, Experience in Bank Communication Management (BCM), Experience in In-House Cash (IHC), Familiarity with SAP FICO concepts, Knowledge of integration with FI, CO, MM, Knowledge of integration with external banking systems", "qualificationsPreferred" : "SAP Certification in Treasury and Risk Management is preferable, CA or CWA or MBA finance from reputed college", "remoteFriendly" : false, "rawDescription" : "About MBRDI Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Job Requirements Key Skills SAP Treasury S/4HANA Cash Management SAP FICO Credit Risk Technical Expertise Strong hands-on experience in SAP Treasury and Risk Management (TRM) modules. Proficiency in S/4HANA Finance with a focus on Treasury, Cash, and Liquidity Management. Experience in Cash Management, Bank Communication Management (BCM), and In-House Cash (IHC). Good understanding of Credit Risk, financial instruments, and exposure management. Familiarity with SAP FICO concepts, including GL, AP, AR, and Asset Accounting. Knowledge of integration with FI, CO, MM, and external banking systems. Project Responsibilities This is a greenfield implementation program for a large SAP treasury system. Candidate should be capable to understand the existing Legacy as-is application & business set up and implement in SAP all the sub-modules of SAP treasury. Should participate in BPP workshops, design & implement solutions in SAP. Should provide architectural suggestions on set up and integration between existing SAP & non-SAP systems. Should be able to lead a team of functional & technical consultants. Should be able to draw up proposals & plans for the project. SAP Certification in Treasury and Risk Management is preferable. CA or CWA or MBA finance from reputed college Why Join Us? Be part of a purpose-driven organization that is shaping the future of mobility Work on cutting-edge technologies and global projects Thrive in a collaborative, diverse, and inclusive environment Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "SAP Treasury and Risk Management (TRM) Functional at Mercedes-Benz Research and Development India. Skills: SAP Treasury, S/4HANA Finance, Cash Management. Understand existing Legacy as-is application. Understand business set up", "createdAt" : "2026-06-14T21:18:21.756", "lastUpdated" : "2026-06-16T02:23:33.805", "ingestTimestamp" : "2026-06-14T21:18:21.756", "mongoId" : "6a191e7758b93c861e39f751", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "SAP implementation", "System integration", "SAP Treasury", "S/4HANA Finance", "Cash Management", "Treasury", "Risk Management", "Liquidity Management", "Credit Risk", "Exposure Management", "Financial instruments", "Project planning", "Proposal writing", "Bank Communication Management", "In-House Cash", "SAP Certification in Treasury and Risk Management", "SAP TRM", "S/4HANA" ], "skillCount" : 18, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb21174d8ee00a09dfe70", "title" : "Sr Embedded Systems Firmware Engineer", "industry" : "IT", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Embedded Systems Firmware Engineer in Bulgaria, adjusted for remote work and full-time employment." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-15T22:49:00.608", "fingerprint" : "70c4e8bec05098900df16bf25e40f7865c7bbca4a65ae07516761057799988b3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/30ef7ab2-0b4a-4a45-bb6d-dd91590ba01c/apply", "externalId" : "30ef7ab2-0b4a-4a45-bb6d-dd91590ba01c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, C, Linux, RTP/RTSP, AVB, AES67, Git", "professionalSkills" : [ "System design", "Performance optimization", "Source control management" ], "hardSkillsList" : [ "Firmware development", "Driver development", "Middleware development", "Real-time processing", "Signal processing", "System debugging", "System profiling" ], "hardSkills" : [ { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "Driver development", "level" : "intermediate" }, { "name" : "Middleware development", "level" : "intermediate" }, { "name" : "Real-time processing", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" }, { "name" : "System debugging", "level" : "intermediate" }, { "name" : "System profiling", "level" : "intermediate" } ], "majorSkills" : "Embedded firmware, Linux, Audio/Video processing", "majorSkillsList" : [ "Embedded firmware", "Linux", "Audio/Video processing" ], "coreResponsibilities" : "Design embedded firmware, Develop embedded firmware, Maintain embedded firmware, Integrate audio/video codecs, Optimize audio/video codecs, Integrate streaming protocols, Optimize streaming protocols, Integrate media frameworks, Optimize media frameworks, Develop low-level drivers, Develop middleware components, Support real-time AV processing, Collaborate with audio engineers, Collaborate with hardware engineers, Integrate signal processing systems, Tune signal processing systems, Debug system performance, Profile system performance, Optimize system performance, Maintain source control practices, Ensure firmware designs meet compliance, Ensure system designs meet compliance, Support technical documentation, Contribute to product roadmap, Contribute to platform performance improvements, Contribute to platform feature improvements", "teamCollaboration" : "Cross-functional engineering teams", "domainKnowledge" : "Embedded Linux; Audiovisual systems; Audio codecs; Video codecs; Streaming protocols; Media frameworks; Real-time data processing; AVB; AES67; Embedded system compliance", "domainList" : [ "embedded-linux", "audiovisual-systems", "audio-codecs", "video-codecs", "streaming-protocols", "media-frameworks", "real-time-data-processing", "avb", "aes67", "embedded-system-compliance" ], "domainSpecificKnowledge" : [ "Embedded Linux", "Audiovisual systems", "Audio codecs", "Video codecs", "Streaming protocols", "Media frameworks", "Real-time data processing", "AVB", "AES67", "Embedded system compliance" ], "toolProficiency" : [ "Yocto Project", "Git", "Visio", "Omnigraffle" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development; Exposure to cutting-edge embedded Linux; Exposure to cutting-edge AV systems", "problemSolvingSkills" : "Problem-solving; Debugging; Performance optimization", "qualificationsBasic" : "7+ years embedded systems firmware engineering, C/C++ development for embedded Linux, Yocto Project build systems, Audio/video codecs, streaming protocols, real-time data processing, Kernel configuration, device tree modification, driver development, Git experience, Technical documentation, Embedded system compliance requirements (FCC, CE, RoHS), Work independently, Collaborating effectively with cross-functional engineering teams, Problem-solving skills, Operate in complex, performance-critical environments", "qualificationsPreferred" : "NXP-based platforms experience, Visio, Omnigraffle or similar for documentation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, develop, and maintain embedded firmware for advanced Linux-based platforms supporting audiovisual systems Integrate and optimize audio/video codecs, streaming protocols, and media frameworks such as RTP/RTSP, AVB, and AES67 Develop low-level drivers and middleware components to support high-throughput, real-time AV processing pipelines Collaborate with audio and hardware engineers to integrate and tune signal processing systems across embedded platforms Debug, profile, and optimize system performance using embedded Linux tools and industry-standard debugging utilities Maintain robust source control practices using Git within multi-branch collaborative development environments Ensure firmware and system designs meet regulatory compliance standards such as FCC, CE, and RoHS Support technical documentation of firmware architecture, specifications, and implementation details Contribute to product roadmap discussions and ongoing platform performance and feature improvements Requirements: 7+ years of experience in embedded systems firmware engineering or a closely related role Strong proficiency in C/C++ development for embedded Linux environments Experience with Yocto Project build systems, ideally on NXP-based platforms Deep understanding of audio/video codecs, streaming protocols, and real-time data processing Hands-on experience with kernel configuration, device tree modification, and driver development Strong Git experience including branching, merging, and collaborative code review workflows Ability to create clear technical documentation using tools such as Visio, Omnigraffle, or similar Strong understanding of embedded system compliance requirements (FCC, CE, RoHS) Ability to work independently while collaborating effectively with cross-functional engineering teams Strong problem-solving skills and ability to operate in complex, performance-critical environments Benefits: Competitive compensation aligned with experience and technical expertise Remote-first work environment Opportunity to work on next-generation audiovisual embedded technologies Health, dental, and vision insurance coverage Retirement savings plan options (where applicable) Paid time off and company holidays Professional development and exposure to cutting-edge embedded Linux and AV systems Collaboration with highly specialized engineering teams across hardware and software domains ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Sr Embedded Systems Firmware Engineer. Skills: Embedded firmware, Linux, Audio/Video processing. Design embedded firmware. Develop embedded firmware", "postedDate" : "2026-06-12T11:32:54.950", "createdAt" : "2026-06-12T11:32:54.950", "lastUpdated" : "2026-06-15T22:49:00.608", "ingestTimestamp" : "2026-06-14T21:45:04.547", "mongoId" : "6a2cb21174d8ee00a09dfe70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Firmware development", "Driver development", "Middleware development", "Real-time processing", "Signal processing", "System debugging", "System profiling", "Embedded firmware", "Linux", "Audio/Video processing", "System design", "Performance optimization", "Source control management", "Embedded Linux", "Audiovisual systems", "Audio codecs", "Video codecs", "Streaming protocols", "Media frameworks", "Real-time data processing", "AVB", "AES67", "Embedded system compliance", "Yocto Project", "Git", "Visio", "Omnigraffle" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3075d0f292fd229c013c17", "title" : "Embedded Hardware Engineer", "company" : "Efficient", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Pittsburgh, PA", "locations" : [ "Pittsburgh", "PA", "San Jose", "CA" ], "timestamp" : "2026-06-16T13:02:51.087", "fingerprint" : "60b7f58867903f1241a50e19779b5e7e9d5b2e44d66da3d4421b8f7d24745b82", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/efficientcomputer/jobs/4286610009", "externalId" : "4286610009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C, C++, MSP430, STM32, Ambiq Apollo, PIC32, RTL simulators, FPGA emulators", "professionalSkills" : [ "System design" ], "hardSkillsList" : [ "PCB design", "Embedded software development", "Silicon debugging", "Hardware prototyping", "Boot ROM development", "Firmware development", "SDK development", "Library maintenance", "Board development", "Design review" ], "hardSkills" : [ { "name" : "PCB design", "level" : "intermediate" }, { "name" : "Embedded software development", "level" : "intermediate" }, { "name" : "Silicon debugging", "level" : "intermediate" }, { "name" : "Hardware prototyping", "level" : "intermediate" }, { "name" : "Boot ROM development", "level" : "intermediate" }, { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "SDK development", "level" : "intermediate" }, { "name" : "Library maintenance", "level" : "intermediate" }, { "name" : "Board development", "level" : "intermediate" }, { "name" : "Design review", "level" : "intermediate" } ], "majorSkills" : "Embedded hardware, System software, PCB design, Embedded systems", "majorSkillsList" : [ "Embedded hardware", "System software", "PCB design", "Embedded systems" ], "coreResponsibilities" : "Design PCB designs, Implement system software, Create bring-up test hardware, Create customer evaluation development kits, Assist with customer hardware reviews, Develop software for test hardware, Develop software for EDKs, Develop customer-facing SDK, Validate processors using RTL simulators, Validate processors using FPGA emulators, Develop secure boot ROMs, Perform pre-silicon validation, Develop boot ROM, Develop firmware, Perform first-silicon bring-up, Checkout silicon, Debug silicon issues, Build low level SDK, Maintain standard libraries, Support customers with board development, Review customer designs, Provide recommended solutions, Deploy applications to processors, Engage with PCBA vendors, Manage vendor relationships, Perform board bring-up", "teamCollaboration" : "Digital Design teams; Compiler teams; Interdisciplinary team", "domainKnowledge" : "Energy-efficient computing; Programmable processors; AI/ML frameworks; Embedded applications; Computer architectures", "domainList" : [ "energy-efficient-computing", "programmable-processors", "ai-ml-frameworks", "embedded-applications", "computer-architectures" ], "domainSpecificKnowledge" : [ "Energy-efficient computing", "Programmable processors", "AI/ML frameworks", "Embedded applications", "Computer architectures" ], "toolProficiency" : [ "Altium" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Develop cutting-edge hardware; Develop cutting-edge software", "problemSolvingSkills" : "Problem solving skills; Troubleshooting silicon issues", "qualificationsBasic" : "8+ years PCB board design, 8+ years embedded systems software development, Experience debugging new silicon, 5+ years C/C++, Deep knowledge of embedded platform, Experience using development/debugging tools", "qualificationsPreferred" : "Experience with Altium, Solid grasp of computer architectures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution Efficient’s Embedded Hardware Engineer will design and implement complete systems that feature the world’s most energy-efficient programmable processor. Your primary role will be to develop PCB designs and accompanying system software to test and showcase our revolutionary processors. Specifically, you will be tasked with creating bring-up test hardware and customer evaluation development kits (EDKs), and assist with customer hardware reviews. You will develop the requisite software to operate our bring-up test hardware and EDKs, as well as develop our customer-facing SDK. Additionally, you will be involved in pre-silicon activities such as validating our processors using RTL simulators and FPGA emulators, and developing secure boot ROMs. This position is a unique opportunity to develop cutting-edge hardware and software as part of a highly interdisciplinary team, helping to demonstrate the value of Efficient’s breakthrough technology. If you are an engineer who wants to be part of an intensely skilled team and wants to have an immediate impact building the next generation of energy-efficient embedded applications, this is for you! Key Responsibilities Develop bring-up test hardware and customer EDKs Engage with PCBA vendors, and manage relationships Perform board bring-up Perform pre-silicon validation activities for our processors Develop boot ROM and firmware for our processors Perform first-silicon bring-up and checkout activities Engage with Digital Design and Compiler teams to debug silicon issues Build out a low level SDK for our processors and maintain a set of standard libraries Support customers with their board development efforts, reviewing designs and providing recommended solutions Deploy applications to our processors, in software simulation, RTL emulation, and silicon implementation Required Qualifications & Experience Requirements 8+ years experience with PCB board design 8+ years of experience developing software for embedded systems Experience debugging new silicon and hardware prototypes in the lab 5+ years of experience with C and/or C++ Deep knowledge of at least one embedded platform, such as MSP430, STM32, Ambiq Apollo, PIC32, or similar Experience using industry standard development and debugging tools for embedded systems Strong attention to detail, and an ability to work on multiple projects simultaneously Good problem solving skills, communication skills, and work ethic Comfortable working at a start-up engineering pace Desired Qualifications & Experience Requirements Experience with Altium Develop Solid grasp of computer architectures We offer a competitive salary for this role, generally ranging from $160,000 to $210,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate. Why Join Efficient? Efficient offers a competitive compensation and benefits package, including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility. We are committed to personal and professional development and strive to grow together as people and as a company.", "summaryDescription" : "Embedded Hardware Engineer at Efficient. Skills: Embedded hardware, System software, PCB design, Embedded systems. Design PCB designs. Implement system software", "postedDate" : "2026-06-16T01:17:49.842", "createdAt" : "2026-06-16T01:17:49.842", "lastUpdated" : "2026-06-16T13:02:51.087", "ingestTimestamp" : "2026-06-16T01:17:49.842", "mongoId" : "6a3075d0f292fd229c013c17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "PCB design", "Embedded software development", "Silicon debugging", "Hardware prototyping", "Boot ROM development", "Firmware development", "SDK development", "Library maintenance", "Board development", "Design review", "Embedded hardware", "System software", "Embedded systems", "System design", "Energy-efficient computing", "Programmable processors", "AI/ML frameworks", "Embedded applications", "Computer architectures", "Altium" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ccd1574d8ee00a0a28dd1", "title" : "Embedded Engineer", "company" : "EVERSTAR", "industry" : "Manufacturing", "location" : "Kyiv | Київ, UA", "locations" : [ "Kyiv | Київ", "UA" ], "timestamp" : "2026-06-16T04:36:48.395", "fingerprint" : "d769a419964d4e6424a113d20324b37cace5b90b92bf17cbd3aa2894ff0be9b2", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://everstar.breezy.hr/p/18c2080f8ba3-embedded-engineer", "externalId" : "18c2080f8ba3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "kyiv", "state" : "kyiv city", "country" : "Ukraine", "continent" : "europe", "source" : "locations-index", "geo" : "50.45466,30.5238" } ], "locationText" : "Kyiv | Київ, UA", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Develop and produce equipment, Develop electronic solutions", "domainKnowledge" : "MilTech", "domainList" : [ "miltech" ], "domainSpecificKnowledge" : [ "MilTech" ], "innovationCreativity" : "R&D projects", "workSiteFlexibility" : "Onsite", "rawDescription" : "Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну зірку. Ця вакансія у R&D-команду, що розробляє та виробляє техніку й електронні рішення, які працюють на реальному полі бою, а не в красивих п", "summaryDescription" : "Embedded Engineer at EVERSTAR. Develop and produce equipment. Develop electronic solutions", "createdAt" : "2026-06-14T21:48:19.630", "lastUpdated" : "2026-06-16T04:36:48.395", "ingestTimestamp" : "2026-06-14T21:48:19.630", "mongoId" : "6a2ccd1574d8ee00a0a28dd1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "MilTech" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.0 }, { "id" : "6a30908ff292fd229c0b5405", "title" : "Embedded Software Engineer", "company" : "Silvus Technologies", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Embedded Software Engineer in Irvine, United States, adjusted for the technology industry and company size." }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-16T14:56:53.962", "fingerprint" : "d095abeae720c835e1c860f48a70dd8e841fae246496c4cce5dbeaada60f8364", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/silvus/jobs/5263637008", "externalId" : "5263637008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "C++, C, RTOS, Linux, Python, Bash, Git, JIRA, TCP/IP, UDP", "professionalSkills" : [ "System design", "Problem solving", "Technical documentation" ], "hardSkillsList" : [ "Embedded systems", "Real-time systems", "Device drivers", "Firmware development", "Network programming" ], "hardSkills" : [ { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Device drivers", "level" : "intermediate" }, { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "Network programming", "level" : "intermediate" } ], "majorSkills" : "Embedded Software, C++ Development, RTOS", "majorSkillsList" : [ "Embedded Software", "C++ Development", "RTOS" ], "coreResponsibilities" : "Design and develop embedded software, Write C/C++ code, Develop and maintain RTOS, Debug software and hardware issues, Perform unit and integration testing, Create technical documentation, Collaborate with hardware engineers, Participate in code reviews", "teamCollaboration" : "Cross-functional teams; Hardware engineers", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Embedded systems; Real-time operating systems; Network protocols", "domainList" : [ "embedded-systems", "real-time-operating-systems", "network-protocols" ], "domainSpecificKnowledge" : [ "Embedded systems", "Real-time operating systems", "Network protocols" ], "toolProficiency" : [ "GDB", "Valgrind", "Wireshark" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem solving; Debugging; Troubleshooting", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in embedded software development, Experience with C/C++, Experience with RTOS, Experience with hardware debugging", "qualificationsPreferred" : "Master's degree in Computer Science, Experience with Linux kernel development, Experience with network protocols, Experience with FPGAs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "THE COMPANY Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications – on the ground, in the air and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments. With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data. Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc. Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of “Keeping Our Heroes Connected”? THE OPPORTUNITY Silvus is seeking an Embedded Software Engineer to join our Engineering Group, reporting to the Senior Engineering Director for Irvine with dotted-line reporting to the Director of Software Engineering. The successful individual in this role will participate in the development of Silvus’ MANET radios and advanced research projects. This is an opportunity to work on all aspects of the system including device drivers, networking functions and services, encryption, and security features. This position is 100% onsite, Monday through Friday, at Silvus Technologies’ Engineering and R or a Master’s degree in Electrical, Computer, or Communications Engineering, Computer Science, or relevant engineering field. Expertise in C programming and experience in Linux kernel driver development. Must be a U. S. Citizen due to clients under U. S. government contracts. All employment is contingent upon the successful clearance of a background check and drug testing. PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES Masters of Science degree in Electrical, Computer, or Communications Engineering, Computer Science. Knowledge and experience of different security protocols and encryption algorithms such as suite of CNSA algorithms. Demonstrated experience with socket programming and various Internet/Ethernet protocols. Understanding of MAC and Networking layer of a communication system. Experience in AMD UltraScale+ MPSoC and Microchip Polarfire SoC BSP support package development. Deep understanding of Internet Protocol Security (IPsec), network protocols, data authentication and encryption. Linux Interrupt Service Routine development. WORKING CONDITIONS only job postings for positions located in the US. Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.", "summaryDescription" : "Embedded Software Engineer at Silvus Technologies. Skills: Embedded Software, C++ Development, RTOS. Design and develop embedded software. Write C/C++ code", "postedDate" : "2026-06-16T03:16:30.006", "createdAt" : "2026-06-16T03:16:30.006", "lastUpdated" : "2026-06-16T14:56:53.962", "ingestTimestamp" : "2026-06-16T03:16:30.006", "mongoId" : "6a30908ff292fd229c0b5405", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Embedded systems", "Real-time systems", "Device drivers", "Firmware development", "Network programming", "Embedded Software", "C++ Development", "RTOS", "System design", "Problem solving", "Technical documentation", "Agile methodologies", "Real-time operating systems", "Network protocols", "GDB", "Valgrind", "Wireshark" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677b01", "title" : "Drive Systems – Function Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Function Engineer in the Automotive industry in Beijing, China, adjusted for company size and industry." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T00:57:53.141", "fingerprint" : "a80954da0d5422849c35fcd2e998bde234152a64efb328f9926c355948632bae", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=880766", "externalId" : "880766", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "minimumEducation" : "Bachelor's", "technicalSkills" : "E-Drive, Hybrid-drive, MATLAB, Simulink, CAN, LIN", "professionalSkills" : [ "Project management", "Stakeholder communication", "Benchmark analysis", "Requirements specification", "Use-case definition", "Function models", "Data analysis", "Automation" ], "hardSkillsList" : [ "Electrical systems", "E/E architectures", "Calibration tools", "Automotive measurement equipment" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Electrical systems", "level" : "intermediate" }, { "name" : "E/E architectures", "level" : "intermediate" }, { "name" : "Calibration tools", "level" : "intermediate" }, { "name" : "Automotive measurement equipment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "E-Drive, Energy management", "majorSkillsList" : [ "E-Drive", "Energy management" ], "coreResponsibilities" : "Lead development of EVRA features, Implement EVRA features, Validate EVRA features, Collaborate across multiple domains, Ensure cohesive system integration, Conduct benchmark analysis, Develop validation plans, Develop release plans, Ensure compliance with quality processes, Drive creation of requirements specifications, Drive creation of use-case definitions, Drive creation of function models, Support simulation of EVRA functions, Support testing of EVRA functions, Apply project management skills, Manage timelines, Manage deliverables, Manage risk assessments, Manage stakeholder communication, Interface with suppliers, Interface with external partners, Support feature development, Support feature validation, Contribute to continuous improvement", "teamCollaboration" : "Cross-functional collaboration; Global teams; Multidisciplinary teams", "projectManagementSkills" : [ "Project management", "Deliverables", "Risk assessments", "Stakeholder communication" ], "domainKnowledge" : "Electric Vehicle; E-Drive powertrain; Energy management; User interface; Navigation; BEV architecture; PHEV architecture; REEV architecture; Consumption management; Charging management; ADAS; Vehicle electrical systems; E/E architectures; Communication protocols", "domainList" : [ "electric-vehicle", "e-drive-powertrain", "energy-management", "user-interface", "navigation", "bev-architecture", "phev-architecture", "reev-architecture", "consumption-management", "charging-management", "adas", "vehicle-electrical-systems", "e-e-architectures", "communication-protocols" ], "domainSpecificKnowledge" : [ "Electric Vehicle", "E-Drive powertrain", "Energy management", "User interface", "Navigation", "BEV architecture", "PHEV architecture", "REEV architecture", "Consumption management", "Charging management", "ADAS", "Vehicle electrical systems", "E/E architectures", "Communication protocols" ], "toolProficiency" : [ "ETAS INCA", "CANape" ], "communicationSkills" : "English communication", "documentationSkills" : "Requirements specifications; Use-case definitions; Function models; Functional specifications", "continuousLearning" : "Continuous improvement", "innovationCreativity" : "Drive innovation; Technology roadmaps", "problemSolvingSkills" : "Risk assessments", "qualificationsBasic" : "Bachelor's or Master's degree, Working experience in automotive or telematics development, Experience using calibration tools, Familiarity with model-based development, Good understanding of vehicle electrical systems, Proficiency in interpreting and developing system requirements", "qualificationsPreferred" : "BEV / PHEV / REEV architecture focus, Energy/consumption/charging management focus, Navigation or ADAS-related focus, E-drive feature development focus, System testing, data analysis, and automation focus, Customer-oriented thinking, Ability for cross-functional collaboration, Future-oriented mindset, Proven ability to drive innovation, Well-structured working habits, Self-motivated, Able to see the big picture, Willingness to share knowledge, High sense of responsibility, Ownership and commitment", "remoteFriendly" : false, "rawDescription" : "Drive systems function engineer with focus on “Electric Vehicle Range Assist” · Lead the development, implementation, and validation of Electric Vehicle Range Assist features · Collaborate across multiple domains (e.g., E-Drive powertrain, energy management, user interface, navigation etc.) to ensure cohesive system integration · Conduct benchmark analysis of competitive vehicles with a focus on E-drive and hybrid-drive features. · Develop validation and release plans for EVRA functions, ensuring full compliance with internal quality processes and standards · Drive the creation of requirements specifications, use-case definitions, and function models · Support simulation and testing of EVRA functions · Apply project management skills to manage timelines, deliverables, risk assessments, and stakeholder communication · Interface with suppliers and external partners as needed to support feature development and validation Contribute to continuous improvement of development processes and system quality Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Automotive Engineering, or related field Working experience in automotive or telematics development, preferably focused on: BEV / PHEV / REEV architecture Energy/consumption/charging management Navigation or ADAS-related E-drive feature development System testing, data analysis, and automation Experience using calibration tools such as ETAS INCA, CANape, and standard automotive measurement equipment Familiarity with model-based development, e.g., MATLAB/Simulink Good understanding of vehicle electrical systems, E/E architectures, and communication protocols (CAN, LIN, etc.) Proficiency in interpreting and developing system requirements, use cases, and functional specifications Excellent English communication skills, both written and verbal Preferred Skills and Competencies: Customer-oriented thinking with a focus on delivering high-value user features Strong ability for cross-functional collaboration in global and multidisciplinary teams Future-oriented mindset with a keen awareness of market and technology trends Proven ability to drive innovation and contribute to technology roadmaps Well-structured working habits and ability to actively follow up on tasks with minimal supervision Self-motivated with a continuous improvement mindset in both technical and workflow efficiency Able to see the big picture, prioritize tasks, and assess project risks and impacts Willingness to share knowledge, mentor others, and contribute to a learning-oriented team culture Demonstrates a strong drive for excellence and a proactive attitude toward achieving team success High sense of responsibility, ownership, and commitment to delivering quality results Mercedes-Benz Group China Ltd.", "summaryDescription" : "Drive Systems – Function Engineer at Mercedes-Benz Group China Ltd.. Skills: E-Drive, Energy management. Lead development of EVRA features. Implement EVRA features", "createdAt" : "2026-06-14T19:46:47.610", "lastUpdated" : "2026-06-16T00:57:53.141", "ingestTimestamp" : "2026-06-14T19:46:47.610", "mongoId" : "69ce5e3b9bc74574cb677b01", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Electrical systems", "E/E architectures", "Calibration tools", "Automotive measurement equipment", "Mentoring", "E-Drive", "Energy management", "Project management", "Stakeholder communication", "Benchmark analysis", "Requirements specification", "Use-case definition", "Function models", "Data analysis", "Automation", "Deliverables", "Risk assessments", "Electric Vehicle", "E-Drive powertrain", "User interface", "Navigation", "BEV architecture", "PHEV architecture", "REEV architecture", "Consumption management", "Charging management", "ADAS", "Vehicle electrical systems", "Communication protocols", "ETAS INCA", "CANape" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ccd1574d8ee00a0a28dd5", "title" : "Embedded Engineer", "company" : "EVERSTAR", "industry" : "Manufacturing", "location" : "Kyiv | Київ, UA", "locations" : [ "Kyiv | Київ", "UA" ], "timestamp" : "2026-06-16T05:24:56.712", "fingerprint" : "69f0755e8028ac452a3a069fa6305609531dd2ad0579c1478b2c50d36d174af4", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://everstar.breezy.hr/p/59793c8fbebc-embedded-engineer", "externalId" : "59793c8fbebc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "kyiv", "state" : "kyiv city", "country" : "Ukraine", "continent" : "europe", "source" : "locations-index", "geo" : "50.45466,30.5238" } ], "locationText" : "Kyiv | Київ, UA", "employmentType" : "FULL_TIME", "rawDescription" : "Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну зірку. Шукаємо Embedded Engineer, який підсилить R&D-команду одного з наших партнерів. Компанія створює та виробляє технологічні рішення, що", "summaryDescription" : "Embedded Engineer at EVERSTAR", "createdAt" : "2026-06-14T21:05:38.321", "lastUpdated" : "2026-06-16T05:24:56.712", "ingestTimestamp" : "2026-06-14T21:05:38.321", "mongoId" : "6a2ccd1574d8ee00a0a28dd5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.0 }, { "id" : "6a306128f292fd229cf9566e", "title" : "Embedded Intelligence Analyst", "company" : "Sibylline Ltd", "industry" : "Management Consulting", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Embedded Intelligence Analyst in Singapore, adjusted for the consulting industry." }, "location" : "Singapore, SG", "locations" : [ "Singapore", "SG" ], "timestamp" : "2026-06-16T09:40:48.835", "fingerprint" : "8ad7aecc2c6a75cc50c08d1dcc1cb7a7fec8ab6bed48c09eb50622843e5f3b6a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SibyllineLtd/744000132224179-embedded-intelligence-analyst", "externalId" : "744000132224179", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "G Suite", "professionalSkills" : [ "Risk analysis", "Due diligence", "Strategic risk", "Intelligence analysis", "Research", "Investigations" ], "hardSkillsList" : [ "Data analysis", "Geopolitical analysis", "Security analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Geopolitical analysis", "level" : "intermediate" }, { "name" : "Security analysis", "level" : "intermediate" } ], "majorSkills" : "Intelligence products, Incident management, Open-source intelligence", "majorSkillsList" : [ "Intelligence products", "Incident management", "Open-source intelligence" ], "coreResponsibilities" : "Monitor safety and security, Assist analysts in producing intelligence products, Inform business decision-makers, Support incident management, Engage with stakeholders, Interpret requirements, Provide immediate support, Leverage Sibylline resources, Maintain situational awareness, Collect and analyze information, Detect and assess threats, Determine threat impact, Produce tactical intelligence, Conduct investigations into persons of interest, Write and distribute notifications, Write daily and weekly products, Assist in managing incidents, Assist in managing emergencies, Triage incidents and threats, Monitor company events, Monitor employee safety", "teamCollaboration" : "Cross-functional position; Partner with other teams; Collaborate with corporate stakeholders", "domainKnowledge" : "Security sector; Global security; Geopolitical developments; Social fluency", "domainList" : [ "security-sector", "global-security", "geopolitical-developments", "social-fluency" ], "domainSpecificKnowledge" : [ "Security sector", "Global security", "Geopolitical developments", "Social fluency" ], "communicationSkills" : "Written English; Spoken English", "problemSolvingSkills" : "Analytical flair; Clarity of thought", "qualificationsBasic" : "2+ years relevant work experience, Native-level English proficiency", "qualificationsPreferred" : "Master's degree, Foreign language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sibylline is a leading intelligence and strategic risk consultancy in the security sector. Since 2010 we have supported businesses, governments and NGOs through the provision of high-quality risk analysis, due diligence and consultancy services. The firm provides an innovative, entrepreneurial and fast-growing working environment, offering employees ever greater exposure to high profile clients and challenges. Sibylline offers fantastic opportunities for career progression within a successful company, and we aim to help our employees to build their own personal profiles as well-regarded analysts within the broader industry. Key attributes of Sibylline employees are: * Self-motivated, and auto-improving individuals who can couple initiative and boldness with good judgement * Excellent written and spoken English * Clarity of thought and analytical flair * Strong, demonstrable interest in security and intelligence * The ability to work under pressure, demonstrate leadership when required but also be able to collaborate effectively in teams * Excellent attention to detail Position Summary As an Embedded Intelligence Analyst, you will be responsible for monitoring the safety and security of our client’s employees and assets worldwide, reporting directly to the embedded Team Lead. In this role, you will assist Regional Intelligence Analysts in producing finished intelligence products. These products inform business decision-makers and support incident management for the client’s internal operations. You will also engage directly with stakeholders to interpret requirements, provide immediate support and consulting, and leverage additional resources from the core Sibylline team. This is a cross-functional position that partners closely with other teams and corporate stakeholders. Essential Functions / Responsibilities * Maintaining situational awareness and collecting and analyzing information to ensure the safety and security of our client’s people, buildings, and operations. * Detecting and assessing threats and incidents and determining their impact on our client. * Using open-source intelligence (OSINT) sources and internal databases to produce tactical intelligence. * Using OSINT sources and internal databases to conduct investigations into persons of interest. * Writing and distributing notifications and daily and weekly products. * Assisting in the management of incidents and emergencies at the client’s sites around the globe. * Triaging incidents and threats quickly and effectively. * Monitoring company events and the safety of employees. * Other duties as assigned. Knowledge, Skills, and Abilities * Proven ability to produce high-quality intelligence products under tight deadlines, while maintaining long-term strategic assessments. * Ability to collect intelligence and track threats and geopolitical developments that directly or indirectly impact the client’s assets, personnel, and global interests * Strong analytical and research skills, with native-level English proficiency and the ability to write and edit quickly and accurately. * Deep understanding of global geopolitical, security, and social dynamics; fluency in regional languages is a plus. * Experience working independently and managing sensitive investigations with minimal supervision. * Skilled in collaborating across service functions (e.g., IT, HR, Legal) and thriving in multicultural environments. * High integrity, initiative, and attention to detail, especially when handling confidential information. * Excellent time management and multitasking abilities in fast-paced settings. * Strong customer service and stakeholder engagement skills, with the ability to tailor communications to diverse audiences. * Advanced proficiency in G Suite and data analysis tools; capable of visualising complex information effectively. ## Qualifications * Bachelor’s degree in Security Studies, International Relations, Criminal Justice, Business Management, or a relevant field from an accredited college or university; or equivalent professional experience. Master’s degree, preferred * 2+ years of relevant work experience in fields such as global security, intelligence, research and analysis, or in a security operations centre * Foreign language proficiency a plus. ## Additional Information Interview Process * Initial call with our Talent Acquisition team member * Timed written assessment (arranged at a time that suits you) to test writing and analytical capability * Panel interview with some of the team members and hiring managers at Sibylline * Meet and Greet with the client Research indicates that certain groups are less likely to apply for a position unless they meet every single requirement. If you feel you meet some of the requirements and can offer a unique perspective to this role, we strongly encourage you to apply—you might be the perfect fit we're looking for! Sibylline is committed to the recruitment and selection of candidates without regard for sexual orientation, gender, ethnicity, age, political beliefs, culture, and lifestyle. We are committed to fostering a business culture that reflects these values and promotes equal opportunity.", "summaryDescription" : "Embedded Intelligence Analyst at Sibylline Ltd. Skills: Intelligence products, Incident management, Open-source intelligence. Monitor safety and security. Assist analysts in producing intelligence products", "postedDate" : "2026-06-15T14:50:28.000", "createdAt" : "2026-06-16T00:03:34.914", "lastUpdated" : "2026-06-16T09:40:48.835", "ingestTimestamp" : "2026-06-16T00:03:34.914", "mongoId" : "6a306128f292fd229cf9566e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Geopolitical analysis", "Security analysis", "Intelligence products", "Incident management", "Open-source intelligence", "Risk analysis", "Due diligence", "Strategic risk", "Intelligence analysis", "Research", "Investigations", "Security sector", "Global security", "Geopolitical developments", "Social fluency" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30908ff292fd229c0b5404", "title" : "Embedded Software Engineer", "company" : "Silvus Technologies", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Embedded Software Engineer in Los Angeles, USA, adjusted for the technology industry and company size." }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States" ], "timestamp" : "2026-06-16T13:36:26.527", "fingerprint" : "1998d912b44b13d7229344279522a1b9c30c709bc40ef1bad867282e025b0b4e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/silvus/jobs/5263661008", "externalId" : "5263661008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THE COMPANY Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications – on the ground, in the air and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments. With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data. Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc. Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of “Keeping Our Heroes Connected”? THE OPPORTUNITY Silvus Technologies is seeking an Embedded Software Engineer, reporting to the Director of Software Engineering on our Software Engineering team. The successful individual in this role will participate in the development of Silvus’ MANET radios and advanced research projects. This is an opportunity to work on all aspects of the system including device drivers, networking functions and services, encryption, and security features. This position is located at Silvus headquarters in the heart of vibrant West Los Angeles, CA and is on a hybrid schedule; a minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays. The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion. ROLE AND RESPONSIBILITIES Implementation of the software portion of MAC (Medium Access Control) and mobile ad-hoc networking routing protocols. Network management software and web interface implementation. Implementation of different security protocols and encryption algorithms. Audio streaming and push-to-talk voice application implementation. Analyze and improve product security and robustness to meet certain regulatory requirements such as NIST FIPS 140-3 and NIAP Common Criteria. Implementation of testing software for product performance and reliability testing. Device driver and board support package development and maintenance for both ARM and RISC-V based systems. Linux system customization and scripting. Perform other related duties of which the above are representative. REQUIRED QUALIFICATIONS Bachelor of Science degree in Electrical Engineering, Computer or Communications Engineering, Computer Science, or relevant engineering field and a minimum of 2 years of relevant embedded system software development experience; or a Master’s degree in Electrical, Computer, or Communications Engineering, Computer Science, or related field. Expertise in C programming and experience in Linux kernel driver development. Must be a U. S. Citizen due to clients under U. S. government contracts. All employment is contingent upon the successful clearance of a background check and drug test. PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES Masters of Science degree in Electrical, Computer, or Communications Engineering, Computer Science. Knowledge and experience of different security protocols and encryption algorithms such as suite of CNSA algorithms. Demonstrated experience with socket programming and various Internet/Ethernet protocols. Understanding of MAC and Networking layer of a communication system. Experience in AMD UltraScale+ MPSoC and Microchip Polarfire SoC BSP support package development. Deep understanding of Internet Protocol Security (IPsec), network protocols, data authentication and encryption. Linux Interrupt Service Routine development. WORKING CONDITIONS only job postings for positions located in the US. Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.", "summaryDescription" : "Embedded Software Engineer at Silvus Technologies", "postedDate" : "2026-06-16T03:16:26.413", "createdAt" : "2026-06-16T03:16:26.413", "lastUpdated" : "2026-06-16T13:36:26.527", "ingestTimestamp" : "2026-06-16T03:16:26.413", "mongoId" : "6a30908ff292fd229c0b5404", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8274d8ee00a0975b0a", "title" : "Embedded Engineer", "company" : "WHOOP", "industry" : "Software", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T11:33:57.678", "fingerprint" : "0be79d24b254d78f7353e7827fadf3200ab274dc657c8e42f7369a82e4e93567", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/577f6cd2-23cb-4da5-9f57-b9b28bc7b062/application", "externalId" : "577f6cd2-23cb-4da5-9f57-b9b28bc7b062", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "C/C++, Embedded systems, Microcontrollers, I2C, SPI, UART, Git, Operating systems, RTOS", "professionalSkills" : [ "Firmware architecture", "Code quality", "Engineering practices", "Development workflows" ], "hardSkillsList" : [ "Embedded software development", "Firmware development", "Unit testing", "Functional testing", "Debugging", "Oscilloscopes", "Multimeters", "Power supplies", "Logic analyzers" ], "softSkillsList" : [ "Problem-solving", "Analytical" ], "hardSkills" : [ { "name" : "Embedded software development", "level" : "intermediate" }, { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Oscilloscopes", "level" : "intermediate" }, { "name" : "Multimeters", "level" : "intermediate" }, { "name" : "Power supplies", "level" : "intermediate" }, { "name" : "Logic analyzers", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical" } ], "majorSkills" : "Embedded firmware, C/C++, Embedded systems", "majorSkillsList" : [ "Embedded firmware", "C/C++", "Embedded systems" ], "coreResponsibilities" : "Design embedded firmware, Implement embedded firmware, Test embedded firmware, Maintain embedded firmware, Support development process, Support debugging process, Write unit tests, Maintain unit tests, Write functional tests, Maintain functional tests, Contribute to firmware architecture, Contribute to documentation, Contribute to code quality, Debug issues, Troubleshoot issues, Participate in code reviews, Improve engineering practices, Improve development workflows, Contribute to resource optimization, Contribute to power efficiency, Contribute to device stability, Leverage AI tools", "teamCollaboration" : "Collaborate with senior engineers; Cross-functional technical discussions", "domainKnowledge" : "Embedded systems; Microcontrollers; Communication protocols", "domainList" : [ "embedded-systems", "microcontrollers", "communication-protocols" ], "domainSpecificKnowledge" : [ "Embedded systems", "Microcontrollers", "Communication protocols" ], "toolProficiency" : [ "Git", "Jira" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Documentation", "continuousLearning" : "Learning AI tools", "problemSolvingSkills" : "Problem-solving; Troubleshooting", "specialRequirements" : "US citizen, Security clearance", "outcomesObjectives" : "Improve firmware reliability; Improve firmware stability; Improve firmware performance; Optimize resource utilization; Optimize power efficiency; Optimize device stability; Improve productivity; Improve learning; Improve engineering effectiveness", "qualificationsBasic" : "US citizen required, Obtain security clearance, Bachelor's degree or pursuit, 0-2 years experience, Proficiency in C/C++, Foundational embedded systems knowledge, Knowledge of microcontrollers, Knowledge of I2C, SPI, UART, Familiarity with Git, Familiarity with testing methodologies, Familiarity with debugging techniques, Familiarity with Jira, Exposure to operating systems, Exposure to RTOS, Ability to use lab equipment, Problem-solving skills, Communication skills, Collaboration skills, Analytical skills, Commitment to AI tools", "qualificationsPreferred" : "AI tools align with high standards", "workSiteFlexibility" : "Onsite", "rawDescription" : "RESPONSIBILITES: - - Collaborate with senior engineers to design, implement, test, and maintain embedded firmware in C/C++ across WHOOP’s product portfolio. - Support the development and debugging process using software tools, hardware instrumentation, and electronic test equipment. - Write and maintain unit and functional tests to improve firmware reliability, stability, and performance. - Contribute to firmware architecture, documentation, and code quality initiatives, including requirements, design specifications, and coding standards. - Debug and troubleshoot issues spanning embedded software, hardware, peripherals, and communication interfaces. - Participate in code reviews and cross-functional technical discussions while continuously improving engineering practices and development workflows. - Contribute to efforts that optimize embedded resource utilization, power efficiency, and device stability. - Leverage AI tools responsibly as part of the software development lifecycle to improve productivity, learning, and engineering effectiveness. QUALIFICATIONS: - - The ability to obtain and maintain a US government issued security clearance is required, and only US Citizens are eligible for such security clearances. - Bachelor’s degree or current pursuit of a degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. - 0–2 years of embedded software development experience through internships, academic projects, research, or industry experience. - Proficiency in C/C++ and foundational knowledge of embedded systems, microcontrollers, and communication protocols such as I2C, SPI, and UART. - Familiarity with Git, testing methodologies, debugging techniques, and development tools such as Jira. - Exposure to operating systems and/or real-time operating systems (RTOS). - Ability to use electronic lab equipment such as oscilloscopes, multimeters, power supplies, and logic analyzers for debugging and validation. - Strong problem-solving, communication, collaboration, and analytical skills. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. Also check out our AI studio blog here. https://engineering.prod.whoop.com/ai-studio/ This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $105,000-$145,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.", "summaryDescription" : "Embedded Engineer at WHOOP. Skills: Embedded firmware, C/C++, Embedded systems. Design embedded firmware. Implement embedded firmware", "createdAt" : "2026-06-14T03:58:15.865", "lastUpdated" : "2026-06-15T11:33:57.678", "ingestTimestamp" : "2026-06-14T03:58:15.865", "mongoId" : "6a2c8c8274d8ee00a0975b0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Embedded software development", "Firmware development", "Unit testing", "Functional testing", "Debugging", "Oscilloscopes", "Multimeters", "Power supplies", "Logic analyzers", "Problem-solving", "Analytical", "Embedded firmware", "C/C++", "Embedded systems", "Firmware architecture", "Code quality", "Engineering practices", "Development workflows", "Microcontrollers", "Communication protocols", "Git", "Jira" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305f0bf292fd229cf77aa5", "title" : "TLM, Embedded Experiences", "company" : "OpenAI", "industry" : "User Operations", "salary" : { "min" : 325000.0, "max" : 385000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco", "Seattle" ], "timestamp" : "2026-06-16T12:31:15.750", "fingerprint" : "9afe225402ad3a9870c1afc67f5b715ef212e411832ef9744f3e67a284a06436", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/967d3ad7-bd2c-40e3-ba1f-f1140a116999/application", "externalId" : "967d3ad7-bd2c-40e3-ba1f-f1140a116999", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Cooperative AI team is scaling to devices and embedded operations and user experiences. Our model-powered scaled workforce and knowledge system are moving on to the edge and powering our devices and edge experiences. By leveraging OpenAI’s state-of-the-art models and technologies, in production and in the lab, we develop systems that reason and work autonomously with customers and with our workforce responsible for operational work. We carry real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and now devices to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. ABOUT THE ROLE We are looking for a Technical Lead Manager to lead a team of engineers building AI-native embedded experiences and operations-forward systems. In this role, you will perform both hands-on technical leadership and small team management. You will drive business outcomes, architecture and technical strategy for complex systems, contribute directly to implementation, and help grow a high-performing team. You will work closely with internal stakeholders to understand operational challenges, identify high-leverage opportunities for automation, and deliver solutions that create measurable impact. This role is ideal for someone who enjoys moving between technical design, coding, mentoring engineers, and working directly with users to understand their problems. IN THIS ROLE, YOU WILL: - Lead the technical direction, architecture, and execution of critical Cooperative Systems initiatives. - Manage and mentor a team of engineers while maintaining meaningful hands-on technical involvement. - Partner closely with stakeholders across Support, Operations, Finance, IT, Sales, Legal, and other functions to identify opportunities for AI-driven improvements. - Design and build production systems that leverage large language models and other AI technologies. - Drive engineering excellence through strong technical decision-making, code quality, operational rigor, and thoughtful system design. - Balance rapid experimentation with long-term platform investments. - Establish technical roadmaps and execution plans for projects spanning multiple teams. - Coach engineers through technical challenges, career growth, and project execution. - Help shape the culture, processes, and engineering practices of a growing organization. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have experience leading engineering projects involving consumer devices and/or embedded systems - Enjoy building products and systems in ambiguous, fast-moving environments. - Are comfortable moving between architecture discussions, coding, stakeholder meetings, and team leadership. - Have strong systems design and software engineering fundamentals. - Are excited about applying AI to solve real-world operational problems. - Communicate effectively with both technical and non-technical audiences. - Have a track record of delivering complex, cross-functional initiatives from concept through production. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "TLM, Embedded Experiences at OpenAI", "createdAt" : "2026-06-16T00:30:10.698", "lastUpdated" : "2026-06-16T12:31:15.750", "ingestTimestamp" : "2026-06-16T00:30:10.698", "mongoId" : "6a305f0bf292fd229cf77aa5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 325000, "salaryAnnualMax" : 385000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3059d3f292fd229cf4b2e4", "title" : "TLM, Embedded Experiences", "company" : "OpenAI", "industry" : "User Operations", "salary" : { "min" : 325000.0, "max" : 385000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco", "Seattle" ], "timestamp" : "2026-06-16T09:27:23.206", "fingerprint" : "a393078941433daaca33bce917c87288afece8cc540470267879e69f36b6a452", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/967d3ad7-bd2c-40e3-ba1f-f1140a116999/application", "externalId" : "967d3ad7-bd2c-40e3-ba1f-f1140a116999", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Cooperative AI team is scaling to devices and embedded operations and user experiences. Our model-powered scaled workforce and knowledge system are moving on to the edge and powering our devices and edge experiences. By leveraging OpenAI’s state-of-the-art models and technologies, in production and in the lab, we develop systems that reason and work autonomously with customers and with our workforce responsible for operational work. We carry real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and now devices to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. ABOUT THE ROLE We are looking for a Technical Lead Manager to lead a team of engineers building AI-native embedded experiences and operations-forward systems. In this role, you will perform both hands-on technical leadership and small team management. You will drive business outcomes, architecture and technical strategy for complex systems, contribute directly to implementation, and help grow a high-performing team. You will work closely with internal stakeholders to understand operational challenges, identify high-leverage opportunities for automation, and deliver solutions that create measurable impact. This role is ideal for someone who enjoys moving between technical design, coding, mentoring engineers, and working directly with users to understand their problems. IN THIS ROLE, YOU WILL: - Lead the technical direction, architecture, and execution of critical Cooperative Systems initiatives. - Manage and mentor a team of engineers while maintaining meaningful hands-on technical involvement. - Partner closely with stakeholders across Support, Operations, Finance, IT, Sales, Legal, and other functions to identify opportunities for AI-driven improvements. - Design and build production systems that leverage large language models and other AI technologies. - Drive engineering excellence through strong technical decision-making, code quality, operational rigor, and thoughtful system design. - Balance rapid experimentation with long-term platform investments. - Establish technical roadmaps and execution plans for projects spanning multiple teams. - Coach engineers through technical challenges, career growth, and project execution. - Help shape the culture, processes, and engineering practices of a growing organization. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have experience leading engineering projects involving consumer devices and/or embedded systems - Enjoy building products and systems in ambiguous, fast-moving environments. - Are comfortable moving between architecture discussions, coding, stakeholder meetings, and team leadership. - Have strong systems design and software engineering fundamentals. - Are excited about applying AI to solve real-world operational problems. - Communicate effectively with both technical and non-technical audiences. - Have a track record of delivering complex, cross-functional initiatives from concept through production. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "TLM, Embedded Experiences at OpenAI", "createdAt" : "2026-06-16T00:29:27.747", "lastUpdated" : "2026-06-16T09:27:23.206", "ingestTimestamp" : "2026-06-16T00:29:27.747", "mongoId" : "6a3059d3f292fd229cf4b2e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 325000, "salaryAnnualMax" : 385000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30514df292fd229cefe1ad", "title" : "Care Coordinator, Embedded", "company" : "Ennoble Care", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Care Coordinator in Sandy Springs, United States, adjusted for the healthcare industry and company size." }, "location" : "Atlanta, Georgia, United States", "locations" : [ "Atlanta", "Georgia", "United States" ], "timestamp" : "2026-06-16T06:55:54.775", "fingerprint" : "dc66a5f3e4f477cc1b91b36e5b16a94997f3d6ab5e9db39332eb0a390938a725", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ennoblecare/jobs/4689387006", "externalId" : "4689387006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sandy Springs", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9242688,-84.3785379" } ], "locationText" : "Sandy Springs, Georgia, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Ennoble Care is seeking a full-time Care Coordinator, Embedded to join our team, providing on-site support within one or more partnered long-term care facilities in the Atlanta, Georgia area, with a primary focus on the Sandy Springs vicinity. This role is an integral, in-person member of our clinical care team, working alongside Ennoble Care providers in a family-practice-style model of care that emphasizes continuity, relationship-building, and patient-centered support. At Ennoble Care, we foster a positive, respectful culture rooted in teamwork, where individuals are valued and encouraged to do meaningful work while maintaining a healthy work-life balance. We support internal advancement and long-term career growth based on performance, organizational needs, and role availability. KEY RESPONSIBILITIES Coordinate care for long-term care residents using Ennoble Care’s EMR Maintain regular, proactive, on-site engagement with residents to support care plans, follow-ups, and care transitions Collaborate closely with Ennoble Care providers, within the long-term care setting Serve as a key liaison between providers, facility staff, residents, and families Communicate patient needs, changes in condition, and urgent concerns to the clinical team in a timely manner Accurately document patient interactions and care coordination activities Follow established workflows, documentation standards, and escalation protocols Contribute positively to team collaboration and strong facility partnerships WHAT 'EMBEDDED' MEANS AT ENNOBLE CARE This is not a remote or call-center role. As an Embedded Care Coordinator, you are physically on-site in one or more partnered long-term care facilities, working alongside providers and facility staff. You build consistent relationships with residents and families and become a trusted, familiar presence within the facility -- supporting care the way a traditional family practice would, but in the long-term care setting. To support a dedicated group of patients. The work is very much family-practice focused, including a strong emphasis on remote patient monitoring (RPM) and proactive care coordination. REQUIREMENTS Legally authorized to work in the United States of America Active, unrestricted clinical certification or licensure, such as: Patient Care Technician (PCT) Certified Nursing Assistant (CNA) Medical Assistant (MA) / Certified Medical Assistant (CMA) Licensed Practical Nurse (LPN) Registered Nurse (RN) Or comparable credential Minimum 1 year of patient-facing experience in a long-term care, skilled nursing, or similar clinical setting Comfortable communicating proactively and professionally throughout the day via Microsoft Teams, email, phone, and in person Cultivate and maintain positive, approachable relationships with residents, families, providers, and facility staff, while demonstrating a consistent, dependable presence within the long-term care setting Well-developed organizational and time-management skills, paired with an optimistic approach and initiative-driven mindset Strong working knowledge of healthcare terminology and care coordination principles Proficiency with Microsoft 365, including Outlook, Word, and Excel Ability to work full-time, Monday through Friday, 8:30 a. m. to 5:00 p. m. EST, (or thereabouts, contingent on facility hours) in an on-site role, based in the Atlanta, Georgia area, with a primary focus on the Sandy Springs vicinity. No weekends No on-call Daytime hours Seven (7) company-paid holidays annually Transportation requirements: Valid, unencumbered driver’s license Consistent, reliable transportation to fulfill the duties of this position Current auto insurance, with the ability to provide proof Please note, travel between facilities may be required Ability to pass a background check and drug screen Full-time benefits eligibility with a variety of options, including a Wellness Pet Plan for your furry family members! We appreciate your interest in joining Ennoble Care, where To Care is an Honor❤️ #brown Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.", "summaryDescription" : "Care Coordinator, Embedded at Ennoble Care", "postedDate" : "2026-06-15T23:18:11.895", "createdAt" : "2026-06-15T23:18:11.895", "lastUpdated" : "2026-06-16T06:55:54.775", "ingestTimestamp" : "2026-06-15T23:18:11.895", "mongoId" : "6a30514df292fd229cefe1ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30514df292fd229cefe1ac", "title" : "Care Coordinator, Embedded", "company" : "Ennoble Care", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Care Coordinator in Atlanta, United States, adjusted for the Healthcare industry." }, "location" : "Atlanta, Georgia, United States", "locations" : [ "Atlanta", "Georgia", "United States" ], "timestamp" : "2026-06-16T06:03:39.500", "fingerprint" : "2cd1205dda6bc9371b0946695cbc5481bd7d43c296ab87bd0e582c30b53544e2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ennoblecare/jobs/4689390006", "externalId" : "4689390006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Ennoble Care is seeking a full-time Care Coordinator, Embedded to join our team, providing on-site support within one or more partnered long-term care facilities in the Atlanta, Georgia area, with a primary focus on the Peachtree City vicinity. This role is an integral, in-person member of our clinical care team, working alongside Ennoble Care providers in a family-practice-style model of care that emphasizes continuity, relationship-building, and patient-centered support. At Ennoble Care, we foster a positive, respectful culture rooted in teamwork, where individuals are valued and encouraged to do meaningful work while maintaining a healthy work-life balance. We support internal advancement and long-term career growth based on performance, organizational needs, and role availability. KEY RESPONSIBILITIES Coordinate care for long-term care residents using Ennoble Care’s EMR Maintain regular, proactive, on-site engagement with residents to support care plans, follow-ups, and care transitions Collaborate closely with Ennoble Care providers, within the long-term care setting Serve as a key liaison between providers, facility staff, residents, and families Communicate patient needs, changes in condition, and urgent concerns to the clinical team in a timely manner Accurately document patient interactions and care coordination activities Follow established workflows, documentation standards, and escalation protocols Contribute positively to team collaboration and strong facility partnerships WHAT 'EMBEDDED' MEANS AT ENNOBLE CARE This is not a remote or call-center role. As an Embedded Care Coordinator, you are physically on-site in one or more partnered long-term care facilities, working alongside providers and facility staff. You build consistent relationships with residents and families and become a trusted, familiar presence within the facility -- supporting care the way a traditional family practice would, but in the long-term care setting. To support a dedicated group of patients. The work is very much family-practice focused, including a strong emphasis on remote patient monitoring (RPM) and proactive care coordination. REQUIREMENTS Legally authorized to work in the United States of America Active, unrestricted clinical certification or licensure, such as: Patient Care Technician (PCT) Certified Nursing Assistant (CNA) Medical Assistant (MA) / Certified Medical Assistant (CMA) Licensed Practical Nurse (LPN) Registered Nurse (RN) Or comparable credential Minimum 1 year of patient-facing experience in a long-term care, skilled nursing, or similar clinical setting Comfortable communicating proactively and professionally throughout the day via Microsoft Teams, email, phone, and in person Cultivate and maintain positive, approachable relationships with residents, families, providers, and facility staff, while demonstrating a consistent, dependable presence within the long-term care setting Well-developed organizational and time-management skills, paired with an optimistic approach and initiative-driven mindset Strong working knowledge of healthcare terminology and care coordination principles Proficiency with Microsoft 365, including Outlook, Word, and Excel Ability to work full-time, Monday through Friday, 8:30 a. m. to 5:00 p. m. EST, (or thereabouts, contingent on facility hours) in an on-site role, based in the Atlanta, Georgia area, with a primary focus on the Peachtree City vicinity. No weekends No on-call Daytime hours Seven (7) company-paid holidays annually Transportation requirements: Valid, unencumbered driver’s license Consistent, reliable transportation to fulfill the duties of this position Current auto insurance, with the ability to provide proof Please note, travel between facilities may be required Ability to pass a background check and drug screen Full-time benefits eligibility with a variety of options, including a Wellness Pet Plan for your furry family members! We appreciate your interest in joining Ennoble Care, where To Care is an Honor❤️ #brown Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.", "summaryDescription" : "Care Coordinator, Embedded at Ennoble Care", "postedDate" : "2026-06-15T23:15:32.198", "createdAt" : "2026-06-15T23:15:32.198", "lastUpdated" : "2026-06-16T06:03:39.500", "ingestTimestamp" : "2026-06-15T23:15:32.198", "mongoId" : "6a30514df292fd229cefe1ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c695274d8ee00a0906ee5", "title" : "Director of Business Systems & Revenue", "company" : "Docplanner", "industry" : "Docplanner", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Director of Business Systems & Revenue in Warsaw, Poland, with adjustments for seniority, industry (HealthTech), and company size." }, "location" : "Warsaw", "locations" : [ "Warsaw" ], "timestamp" : "2026-06-15T23:01:09.445", "fingerprint" : "c54605f541cc08e2f94cca1f66ebde79a6f68069172b7ab67288c244aff18dbc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/docplanner/a990213c-f6b9-455a-a74c-76a411a6753f/application", "externalId" : "a990213c-f6b9-455a-a74c-76a411a6753f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Salesforce, HubSpot, APIs, IPaaS, CI/CD", "professionalSkills" : [ "GTM strategy", "Product mindset", "Vendor partnerships", "Cost awareness", "Governance", "Service standards", "SDLC", "Vendor model", "ROI evaluation", "TCO evaluation" ], "hardSkillsList" : [ "CRM", "Marketing automation", "CPQ", "Data integration", "AI automation", "Release management", "Service catalog", "SLOs", "RACI", "Intake SLAs" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "CRM", "level" : "intermediate" }, { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "CPQ", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "AI automation", "level" : "intermediate" }, { "name" : "Release management", "level" : "intermediate" }, { "name" : "Service catalog", "level" : "intermediate" }, { "name" : "SLOs", "level" : "intermediate" }, { "name" : "RACI", "level" : "intermediate" }, { "name" : "Intake SLAs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "GTM technology, Salesforce migration, AI automation, Data quality", "majorSkillsList" : [ "GTM technology", "Salesforce migration", "AI automation", "Data quality" ], "coreResponsibilities" : "Own GTM technology strategy, Own GTM technology blueprint, Own platform reliability, Own data quality, Own service standards, Deliver Salesforce migration, Stabilize Salesforce migration, Ensure predictable execution, Achieve short delivery cycles, Ensure visible productivity gains, Integrate Salesforce and HubSpot, Flow GTM data to DWH, Automate manual work with AI, Improve speed with AI, Improve insight with AI, Build GTM systems team, Build Center of Excellence, Build modern delivery model, Build operating model, Build vendor partnerships", "teamCollaboration" : "High-leverage team; Tight user loops; Senior program management; Vendor management; Cross-functional teams; Stakeholder NPS; Senior executive partner", "projectManagementSkills" : [ "SDLC", "Vendor model", "RFPs", "SLAs", "TCO", "ROI" ], "domainKnowledge" : "SaaS; Marketplace; GTM systems; CRM; Marketing automation; CPQ; Data warehousing; Cloud-native architecture", "domainList" : [ "saas", "marketplace", "gtm-systems", "crm", "marketing-automation", "cpq", "data-warehousing", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "SaaS", "Marketplace", "GTM systems", "CRM", "Marketing automation", "CPQ", "Data warehousing", "Cloud-native architecture" ], "toolProficiency" : [ "Salesforce", "HubSpot", "IPaaS" ], "communicationSkills" : "Executive turns ambiguity", "innovationCreativity" : "AI-powered automation; Builder mindset", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data quality; Reconciliation accuracy", "outcomesObjectives" : "Salesforce migration complete; Salesforce stable; Salesforce widely adopted; Published service catalog; Published RACI; Published intake SLAs; Reliable integrations; Trusted GTM reporting; Operational excellence; Incident rate ↓50%; MTTR < 4h; Change failure rate <10%; 3 AI automations live; Meaningful frontline time savings; Data quality improving; Stakeholder NPS up; Senior team performing; Measured by time-to-production; Measured by release predictability; Measured by service SLOs", "qualificationsBasic" : "5+ years building GTM systems, 5+ years leading GTM systems, Delivered CRM transformation, Delivered Service transformation, Hands-on ownership Salesforce Sales, Hands-on ownership Salesforce Service, Shipped AI automations, Led senior program management, Led vendor management", "qualificationsPreferred" : "Salesforce CPQ experience, Salesforce Sales Cloud experience, Salesforce Service Cloud experience, Salesforce Marketing Cloud experience, Salesforce CPQ experience, Salesforce identity experience, HubSpot expertise, IPaaS experience, Data quality experience, Observability experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Docplanner is a healthtech company on a mission to help people live longer, healthier lives. We build technology that improves how patients access care and how healthcare professionals deliver it. Operating in 13 countries, with more than 100 million patient visits to our websites and around 25 million appointments booked each month, Docplanner is scaling both its product and its internal foundations. As a growing tech business, we rely on strong internal systems, trusted data, and scalable operations to support our commercial teams and keep delivering impact across our markets. Job Description Mission Make Marketing, Sales, and CS meaningfully more productive through trusted tooling and data. Own Docplanner’s GTM tech blueprint and turn it into shipped value fast with a small, high-leverage team, AI-powered automation, product mindset, tight user loops, and predictable delivery. Why now? We are mid-migration to Salesforce for Sales, CS and Care while Marketing remains on HubSpot. Our GTM teams need higher throughput and fewer manual steps; fragmented ownership across internal systems slows them down and hurts data quality. We need a single accountable leader who can design, build and ship like a founder, while running a disciplined SDLC and vendor model at scale. What you will do Own - End-to-end GTM technology strategy and blueprint (CRM, Marketing, CPQ, integrations, AI, identity), with clear accountability, cost awareness and governance - Platform reliability, data quality and service standards across all GTM systems Deliver - Complete and stabilize the Salesforce migration with strong adoption and measurable SLAs - Predictable execution through quarterly commitments, short delivery cycles and visible productivity gains - Seamless Salesforce ↔ HubSpot integration and trusted GTM data flowing to the DWH - AI-powered automation that removes manual work and improves speed and insight Build - A high-performing GTM systems team and Center of Excellence - Modern delivery and operating model (CI/CD, release discipline, service catalog, SLOs) - Strong vendor partnerships with clear ROI, SLAs and accountability *This role reports to the COO, with a dotted line to the CPTO. What success looks like (12+ months) Platform & Ownership - Salesforce migration complete, stable and widely adopted with clear SLAs - End-to-end ownership of all GTM tools with a published service catalog, RACI and intake SLAs - Reliable Salesforce ↔ HubSpot ↔ DWH integrations and trusted GTM reporting Reliability & Productivity - Operational excellence: incident rate ↓50%, MTTR < 4h, change failure rate <10% - At least 3 AI automations live, delivering meaningful frontline time savings - Data quality improving quarter over quarter through automated controls People & Impact - Stakeholder NPS up across Sales, CS, Care and Finance - Small, senior, high-output team in place; vendors performing against SLAs Measured By - Time-to-production and release predictability - Service SLOs (availability, data freshness, sync success) - GTM productivity gains and tool adoption - Data quality and reconciliation accuracy - Cost vs plan and vendor SLA attainment Qualifications Experience - 5+ years building and leading GTM / business systems in scaled SaaS or marketplace environments - Delivered a large, multi-country CRM or Service transformation - Hands-on ownership of Salesforce Sales & Service and a GTM Systems CoE - Shipped AI-powered automations in real GTM workflows - Led senior program and vendor management, including RFPs, SLAs, and TCO / ROI evaluation Skills - Salesforce delivery excellence: CI/CD, environments, releases, SLAs, incidents, and enablement - HubSpot expertise and proven Salesforce ↔ HubSpot integrations - Strong integration and data foundations (APIs, iPaaS, data quality, observability) - Clear executive communication; turns ambiguity into pilots, roadmaps, and results - Builder with a product mindset - High ownership; reliable partner to executives and teams Additional information Long-term incentive - ESOP package Flexibility and work-life balance - Remote or hybrid work model with or hub in Warsaw; - Flexible working hours - 20/26 days of paid time off (depending on your contract); - Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate). Health comes first - Private healthcare plan with Signal Iduna https://www.signaliduna.pl/for you and subsidized for your family. - Multisport card co-financing for you to have access to sports facilities across Poland. - Access to iFeel https://ifeelonline.com/, a technological platform for mental wellness offering online psychological support and counseling. We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference. If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other. “We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO", "summaryDescription" : "Director of Business Systems & Revenue at Docplanner. Skills: GTM technology, Salesforce migration, AI automation, Data quality. Own GTM technology strategy. Own GTM technology blueprint", "createdAt" : "2026-06-14T19:28:42.221", "lastUpdated" : "2026-06-15T23:01:09.445", "ingestTimestamp" : "2026-06-14T19:28:42.221", "mongoId" : "6a2c695274d8ee00a0906ee5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "CRM", "Marketing automation", "CPQ", "Data integration", "AI automation", "Release management", "Service catalog", "SLOs", "RACI", "Intake SLAs", "Leadership", "GTM technology", "Salesforce migration", "Data quality", "GTM strategy", "Product mindset", "Vendor partnerships", "Cost awareness", "Governance", "Service standards", "SDLC", "Vendor model", "ROI evaluation", "TCO evaluation", "RFPs", "SLAs", "TCO", "ROI", "SaaS", "Marketplace", "GTM systems", "Data warehousing", "Cloud-native architecture", "Salesforce", "HubSpot", "IPaaS" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "HealthTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9965", "title" : "Embedded Sales Lead", "industry" : "Business Development", "salary" : { "min" : 85300.0, "max" : 191900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UK", "locations" : [ "UK" ], "timestamp" : "2026-06-16T13:46:17.933", "fingerprint" : "f7804ebb090eac9fd6f650101829e35b9632c2078eb6c766b3027ccb562a64e3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/df4ea01f-ba5d-4d47-955c-84100d40e6ea/apply", "externalId" : "df4ea01f-ba5d-4d47-955c-84100d40e6ea", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Salesforce", "professionalSkills" : [ "Pipeline management", "Forecasting", "Deal closure", "Sales enablement", "Partner engagement" ], "hardSkillsList" : [ "Sales cycle management", "CRM data management", "Reporting processes" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Sales cycle management", "level" : "intermediate" }, { "name" : "CRM data management", "level" : "intermediate" }, { "name" : "Reporting processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Revenue growth, Partner management, Sales support", "majorSkillsList" : [ "Revenue growth", "Partner management", "Sales support" ], "coreResponsibilities" : "Drive revenue growth, Manage partner-referred opportunities, Qualify opportunities, Close deals, Provide advanced sales support, Address complex inquiries, Share best practices, Overcome obstacles, Maintain accurate pipeline, Maintain forecasting, Report direct referral opportunities, Report partner-generated revenue, Design sales enablement initiatives, Deliver training programs, Serve as primary point of contact, Facilitate timely communication, Coordinate with subject matter experts, Ensure CRM data integrity, Audit CRM data, Maintain accurate records, Track deals effectively, Contribute to sales process improvement, Contribute to reporting framework improvement, Contribute to partner engagement improvement, Identify automation opportunities, Identify scalability opportunities", "teamCollaboration" : "Partner sales teams; 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Provide advanced sales support to partner sales teams by addressing complex inquiries, sharing best practices, and helping overcome obstacles that may impact deal progression. Maintain accurate pipeline management and forecasting, ensuring reliable reporting of both direct referral opportunities and partner-generated revenue. Design and deliver sales enablement initiatives, including training programs focused on product knowledge, competitive positioning, and objection handling techniques. Serve as the primary point of contact for partner sales support channels, facilitating timely communication and coordinating with internal subject matter experts when required. Ensure CRM data integrity through regular audits, accurate record maintenance, and effective deal tracking. Contribute to the continuous improvement of sales processes, reporting frameworks, and partner engagement strategies while identifying opportunities for automation and scalability. Requirements Proven experience in channel sales, partnership sales, business development, or partner management, ideally within a SaaS or technology-focused environment. Strong understanding of complex sales cycles, including lead management, opportunity progression, forecasting, and deal closure. Demonstrated ability to build and maintain productive relationships with partners and cross-functional stakeholders. Experience using Salesforce or similar CRM platforms to manage pipelines, sales activities, and reporting processes. Excellent communication, presentation, and training skills, with the ability to effectively enable and support external sales teams. Strong analytical and problem-solving capabilities with a proactive approach to resolving challenges and driving results. High level of organization and attention to detail, particularly in forecasting, reporting, and data management. Ability to thrive in a fast-paced, remote-first environment while adapting to changing priorities and business needs. Fluent written and spoken English. Experience working remotely is advantageous but not essential. Demonstrated proficiency in automation tools, AI technologies, and AI-driven workflows. Benefits Competitive salary ranging from $85,300 to $191,900 USD annually, depending on experience, location, and market factors. Fully remote work environment with the flexibility to work from anywhere. Flexible working hours within an asynchronous work culture. Equity participation program. Comprehensive healthcare coverage, including medical, dental, vision, and mental health support. Generous paid time off and holiday policies. 16 weeks of paid parental leave. Annual learning and development budget for professional growth. Home office allowance and IT equipment support. Budget for local coworking spaces, team meetups, and in-person social events. Inclusive and diverse workplace culture focused on collaboration, growth, and employee well-being. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Embedded Sales Lead. Skills: Revenue growth, Partner management, Sales support. Drive revenue growth. 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Provide advanced sales support to partner sales teams by addressing complex inquiries, sharing best practices, and helping overcome obstacles that may impact deal progression. Maintain accurate pipeline management and forecasting, ensuring reliable reporting of both direct referral opportunities and partner-generated revenue. Design and deliver sales enablement initiatives, including training programs focused on product knowledge, competitive positioning, and objection handling techniques. Serve as the primary point of contact for partner sales support channels, facilitating timely communication and coordinating with internal subject matter experts when required. Ensure CRM data integrity through regular audits, accurate record maintenance, and effective deal tracking. Contribute to the continuous improvement of sales processes, reporting frameworks, and partner engagement strategies while identifying opportunities for automation and scalability. Requirements Proven experience in channel sales, partnership sales, business development, or partner management, ideally within a SaaS or technology-focused environment. Strong understanding of complex sales cycles, including lead management, opportunity progression, forecasting, and deal closure. Demonstrated ability to build and maintain productive relationships with partners and cross-functional stakeholders. Experience using Salesforce or similar CRM platforms to manage pipelines, sales activities, and reporting processes. Excellent communication, presentation, and training skills, with the ability to effectively enable and support external sales teams. Strong analytical and problem-solving capabilities with a proactive approach to resolving challenges and driving results. High level of organization and attention to detail, particularly in forecasting, reporting, and data management. Ability to thrive in a fast-paced, remote-first environment while adapting to changing priorities and business needs. Fluent written and spoken English. Experience working remotely is advantageous but not essential. Demonstrated proficiency in automation tools, AI technologies, and AI-driven workflows. Benefits Competitive salary ranging from $85,300 to $191,900 USD annually, depending on experience, location, and market factors. Fully remote work environment with the flexibility to work from anywhere. Flexible working hours within an asynchronous work culture. Equity participation program. Comprehensive healthcare coverage, including medical, dental, vision, and mental health support. Generous paid time off and holiday policies. 16 weeks of paid parental leave. Annual learning and development budget for professional growth. Home office allowance and IT equipment support. Budget for local coworking spaces, team meetups, and in-person social events. Inclusive and diverse workplace culture focused on collaboration, growth, and employee well-being. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Embedded Sales Lead. Skills: Revenue growth, Partner management, Sales support, Pipeline management. Drive revenue growth. 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Inclusive and diverse workplace culture focused on collaboration, growth, and employee well-being. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). 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Provide advanced sales support to partner sales teams by addressing complex inquiries, sharing best practices, and helping overcome obstacles that may impact deal progression. Maintain accurate pipeline management and forecasting, ensuring reliable reporting of both direct referral opportunities and partner-generated revenue. Design and deliver sales enablement initiatives, including training programs focused on product knowledge, competitive positioning, and objection handling techniques. Serve as the primary point of contact for partner sales support channels, facilitating timely communication and coordinating with internal subject matter experts when required. Ensure CRM data integrity through regular audits, accurate record maintenance, and effective deal tracking. Contribute to the continuous improvement of sales processes, reporting frameworks, and partner engagement strategies while identifying opportunities for automation and scalability. Requirements Proven experience in channel sales, partnership sales, business development, or partner management, ideally within a SaaS or technology-focused environment. Strong understanding of complex sales cycles, including lead management, opportunity progression, forecasting, and deal closure. Demonstrated ability to build and maintain productive relationships with partners and cross-functional stakeholders. Experience using Salesforce or similar CRM platforms to manage pipelines, sales activities, and reporting processes. Excellent communication, presentation, and training skills, with the ability to effectively enable and support external sales teams. Strong analytical and problem-solving capabilities with a proactive approach to resolving challenges and driving results. High level of organization and attention to detail, particularly in forecasting, reporting, and data management. Ability to thrive in a fast-paced, remote-first environment while adapting to changing priorities and business needs. Fluent written and spoken English. Experience working remotely is advantageous but not essential. Demonstrated proficiency in automation tools, AI technologies, and AI-driven workflows. Benefits Competitive salary ranging from $85,300 to $191,900 USD annually, depending on experience, location, and market factors. Fully remote work environment with the flexibility to work from anywhere. Flexible working hours within an asynchronous work culture. Equity participation program. Comprehensive healthcare coverage, including medical, dental, vision, and mental health support. Generous paid time off and holiday policies. 16 weeks of paid parental leave. Annual learning and development budget for professional growth. Home office allowance and IT equipment support. Budget for local coworking spaces, team meetups, and in-person social events. Inclusive and diverse workplace culture focused on collaboration, growth, and employee well-being. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Embedded Sales Lead. Skills: Revenue growth, Partner-referred opportunities, Sales support. Drive revenue growth. Manage partner-referred opportunities", "postedDate" : "2026-06-15T14:21:39.519", "createdAt" : "2026-06-15T14:21:39.519", "lastUpdated" : "2026-06-16T12:58:50.649", "ingestTimestamp" : "2026-06-16T03:20:55.588", "mongoId" : "6a305118f292fd229cef9963", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85300, "salaryAnnualMax" : 191900, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Deal closure", "Lead management", "Reporting processes", "Data management", "Revenue growth", "Partner-referred opportunities", "Sales support", "Pipeline management", "Forecasting", "Sales enablement", "Partner engagement", "SaaS environment", "Technology-focused environment", "Complex sales cycles", "Salesforce" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9966", "title" : "Embedded Sales Lead", "industry" : "Business Development", "salary" : { "min" : 85300.0, "max" : 191900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Switzerland", "locations" : [ "Switzerland" ], "timestamp" : "2026-06-16T11:30:26.110", "fingerprint" : "3c1c76fe431e1798107cafef7734231538880686ba882e8c82518c897c8e9bc3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f0d45617-a1e3-4bbb-a37e-04750bc5f01e/apply", "externalId" : "f0d45617-a1e3-4bbb-a37e-04750bc5f01e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Switzerland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Salesforce", "professionalSkills" : [ "Pipeline management", "Forecasting", "Sales enablement", "Data management" ], "hardSkillsList" : [ "Deal closure", "Objection handling", "CRM data integrity", "Automation tools", "AI technologies", "AI-driven workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Deal closure", "level" : "intermediate" }, { "name" : "Objection handling", "level" : "intermediate" }, { "name" : "CRM data integrity", "level" : "intermediate" }, { "name" : "Automation tools", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" }, { "name" : "AI-driven workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Revenue growth, Partner management, Sales support, Sales enablement", "majorSkillsList" : [ "Revenue growth", "Partner management", "Sales support", "Sales enablement" ], "coreResponsibilities" : "Drive revenue growth, Manage partner-referred opportunities, Provide advanced sales support, Address complex inquiries, Share best practices, Help overcome obstacles, Maintain accurate pipeline management, Maintain accurate forecasting, Design sales enablement initiatives, Deliver sales enablement initiatives, Serve as primary point of contact, Facilitate timely communication, Coordinate with internal experts, Ensure CRM data integrity, Contribute to sales process improvement, Contribute to reporting framework improvement, Contribute to partner engagement improvement, Identify opportunities for automation, Identify opportunities for scalability", "teamCollaboration" : "Partner sales teams; Cross-functional stakeholders; Internal subject matter experts", "domainKnowledge" : "SaaS environment; Technology environment; Complex sales cycles", "domainList" : [ "saas-environment", "technology-environment", "complex-sales-cycles" ], "domainSpecificKnowledge" : [ "SaaS environment", "Technology environment", "Complex sales cycles" ], "toolProficiency" : [ "Salesforce", "CRM platforms" ], "communicationSkills" : "Presentations; Training", "continuousLearning" : "Annual learning budget", "problemSolvingSkills" : "Problem-solving; Proactive approach", "outcomesObjectives" : "Successful outcomes; Reliable reporting; Driving results", "qualificationsBasic" : "Proven experience in channel sales, Proven experience in partnership sales, Proven experience in business development, Proven experience in partner management, Understanding of complex sales cycles, Demonstrated ability to build relationships, Demonstrated ability to maintain relationships, Experience using Salesforce or similar CRM, Excellent communication skills, Excellent presentation skills, Excellent training skills, Analytical capabilities, Problem-solving capabilities, High level of organization, High attention to detail, Ability to thrive in fast-paced environment, Ability to adapt to changing priorities, Fluent written English, Fluent spoken English", "qualificationsPreferred" : "Experience in a technology-focused environment, Experience working remotely is advantageous", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Drive revenue growth by managing partner-referred opportunities throughout the entire sales cycle, from initial qualification to deal closure, ensuring consistent follow-up and successful outcomes. Provide advanced sales support to partner sales teams by addressing complex inquiries, sharing best practices, and helping overcome obstacles that may impact deal progression. Maintain accurate pipeline management and forecasting, ensuring reliable reporting of both direct referral opportunities and partner-generated revenue. Design and deliver sales enablement initiatives, including training programs focused on product knowledge, competitive positioning, and objection handling techniques. Serve as the primary point of contact for partner sales support channels, facilitating timely communication and coordinating with internal subject matter experts when required. Ensure CRM data integrity through regular audits, accurate record maintenance, and effective deal tracking. Contribute to the continuous improvement of sales processes, reporting frameworks, and partner engagement strategies while identifying opportunities for automation and scalability. Requirements Proven experience in channel sales, partnership sales, business development, or partner management, ideally within a SaaS or technology-focused environment. Strong understanding of complex sales cycles, including lead management, opportunity progression, forecasting, and deal closure. Demonstrated ability to build and maintain productive relationships with partners and cross-functional stakeholders. Experience using Salesforce or similar CRM platforms to manage pipelines, sales activities, and reporting processes. Excellent communication, presentation, and training skills, with the ability to effectively enable and support external sales teams. Strong analytical and problem-solving capabilities with a proactive approach to resolving challenges and driving results. High level of organization and attention to detail, particularly in forecasting, reporting, and data management. Ability to thrive in a fast-paced, remote-first environment while adapting to changing priorities and business needs. Fluent written and spoken English. Experience working remotely is advantageous but not essential. Demonstrated proficiency in automation tools, AI technologies, and AI-driven workflows. Benefits Competitive salary ranging from $85,300 to $191,900 USD annually, depending on experience, location, and market factors. Fully remote work environment with the flexibility to work from anywhere. Flexible working hours within an asynchronous work culture. Equity participation program. Comprehensive healthcare coverage, including medical, dental, vision, and mental health support. Generous paid time off and holiday policies. 16 weeks of paid parental leave. Annual learning and development budget for professional growth. Home office allowance and IT equipment support. Budget for local coworking spaces, team meetups, and in-person social events. Inclusive and diverse workplace culture focused on collaboration, growth, and employee well-being. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Embedded Sales Lead. Skills: Revenue growth, Partner management, Sales support, Sales enablement. Drive revenue growth. Manage partner-referred opportunities", "postedDate" : "2026-06-15T14:21:09.034", "createdAt" : "2026-06-15T14:21:09.034", "lastUpdated" : "2026-06-16T11:30:26.110", "ingestTimestamp" : "2026-06-16T03:20:06.706", "mongoId" : "6a305118f292fd229cef9966", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85300, "salaryAnnualMax" : 191900, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Deal closure", "Objection handling", "CRM data integrity", "Automation tools", "AI technologies", "AI-driven workflows", "Leadership", "Revenue growth", "Partner management", "Sales support", "Sales enablement", "Pipeline management", "Forecasting", "Data management", "SaaS environment", "Technology environment", "Complex sales cycles", "Salesforce", "CRM platforms" ], "skillCount" : 19, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9962", "title" : "Embedded Sales Lead", "industry" : "Business Development", "salary" : { "min" : 85300.0, "max" : 191900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ireland", "locations" : [ "Ireland" ], "timestamp" : "2026-06-16T12:17:55.630", "fingerprint" : "28fb560eb3fcf2f864c817c2812ceb1a2f50c82ea3f68fb3e0392d454749d38d", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9e1d1ad8-1b19-4cd0-b2b1-b3f959b295a2/apply", "externalId" : "9e1d1ad8-1b19-4cd0-b2b1-b3f959b295a2", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ireland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Salesforce", "professionalSkills" : [ "Pipeline management", "Forecasting", "Sales enablement", "Data management" ], "hardSkillsList" : [ "Deal closure", "Lead management", "Opportunity progression", "Forecasting", "Deal closure", "Record maintenance", "Deal tracking" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Deal closure", "level" : "intermediate" }, { "name" : "Lead management", "level" : "intermediate" }, { "name" : "Opportunity progression", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Deal closure", "level" : "intermediate" }, { "name" : "Record maintenance", "level" : "intermediate" }, { "name" : "Deal tracking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Revenue growth, Sales support, Pipeline management, Sales enablement", "majorSkillsList" : [ "Revenue growth", "Sales support", "Pipeline management", "Sales enablement" ], "coreResponsibilities" : "Drive revenue growth, Manage partner-referred opportunities, Qualify opportunities, Close deals, Follow up on opportunities, Provide advanced sales support, Address complex inquiries, Share best practices, Overcome obstacles, Maintain accurate pipeline, Maintain forecasting, Report direct referral opportunities, Report partner-generated revenue, Design sales enablement initiatives, Deliver sales enablement initiatives, Train on product knowledge, Train on competitive positioning, Train on objection handling, Serve as primary point of contact, Facilitate timely communication, Coordinate with subject matter experts, Ensure CRM data integrity, Audit CRM data, Maintain accurate records, Track deals, Contribute to sales process improvement, Contribute to reporting framework improvement, Contribute to partner engagement improvement, Identify automation opportunities, Identify scalability opportunities", "teamCollaboration" : "Cross-functional stakeholders; Partner sales teams; Internal subject matter experts", "domainKnowledge" : "SaaS sales cycles; Technology sales cycles", "domainList" : [ "saas-sales-cycles", "technology-sales-cycles" ], "domainSpecificKnowledge" : [ "SaaS sales cycles", "Technology sales cycles" ], "toolProficiency" : [ "Salesforce" ], "communicationSkills" : "Presentations; Training", "continuousLearning" : "Annual learning budget", "problemSolvingSkills" : "Problem-solving; Proactive approach", "qualificationsBasic" : "Proven experience in channel sales, Proven experience in partnership sales, Proven experience in business development, Proven experience in partner management, Understanding of complex sales cycles, Demonstrated ability to build relationships, Demonstrated ability to maintain relationships, Experience using Salesforce or similar CRM, Excellent communication skills, Excellent presentation skills, Excellent training skills, Analytical capabilities, Problem-solving capabilities, High level of organization, High attention to detail, Fluent written English, Fluent spoken English", "qualificationsPreferred" : "Experience in a SaaS environment, Experience in a technology-focused environment, Experience working remotely is advantageous, Proficiency in automation tools, Proficiency in AI technologies, Proficiency in AI-driven workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Drive revenue growth by managing partner-referred opportunities throughout the entire sales cycle, from initial qualification to deal closure, ensuring consistent follow-up and successful outcomes. Provide advanced sales support to partner sales teams by addressing complex inquiries, sharing best practices, and helping overcome obstacles that may impact deal progression. Maintain accurate pipeline management and forecasting, ensuring reliable reporting of both direct referral opportunities and partner-generated revenue. Design and deliver sales enablement initiatives, including training programs focused on product knowledge, competitive positioning, and objection handling techniques. Serve as the primary point of contact for partner sales support channels, facilitating timely communication and coordinating with internal subject matter experts when required. Ensure CRM data integrity through regular audits, accurate record maintenance, and effective deal tracking. Contribute to the continuous improvement of sales processes, reporting frameworks, and partner engagement strategies while identifying opportunities for automation and scalability. Requirements Proven experience in channel sales, partnership sales, business development, or partner management, ideally within a SaaS or technology-focused environment. Strong understanding of complex sales cycles, including lead management, opportunity progression, forecasting, and deal closure. Demonstrated ability to build and maintain productive relationships with partners and cross-functional stakeholders. Experience using Salesforce or similar CRM platforms to manage pipelines, sales activities, and reporting processes. Excellent communication, presentation, and training skills, with the ability to effectively enable and support external sales teams. Strong analytical and problem-solving capabilities with a proactive approach to resolving challenges and driving results. High level of organization and attention to detail, particularly in forecasting, reporting, and data management. Ability to thrive in a fast-paced, remote-first environment while adapting to changing priorities and business needs. Fluent written and spoken English. Experience working remotely is advantageous but not essential. Demonstrated proficiency in automation tools, AI technologies, and AI-driven workflows. Benefits Competitive salary ranging from $85,300 to $191,900 USD annually, depending on experience, location, and market factors. Fully remote work environment with the flexibility to work from anywhere. Flexible working hours within an asynchronous work culture. Equity participation program. Comprehensive healthcare coverage, including medical, dental, vision, and mental health support. Generous paid time off and holiday policies. 16 weeks of paid parental leave. Annual learning and development budget for professional growth. Home office allowance and IT equipment support. Budget for local coworking spaces, team meetups, and in-person social events. Inclusive and diverse workplace culture focused on collaboration, growth, and employee well-being. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Embedded Sales Lead. Skills: Revenue growth, Sales support, Pipeline management, Sales enablement. Drive revenue growth. Manage partner-referred opportunities", "postedDate" : "2026-06-15T14:20:27.316", "createdAt" : "2026-06-15T14:20:27.316", "lastUpdated" : "2026-06-16T12:17:55.630", "ingestTimestamp" : "2026-06-16T03:21:40.631", "mongoId" : "6a305118f292fd229cef9962", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85300, "salaryAnnualMax" : 191900, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Deal closure", "Lead management", "Opportunity progression", "Forecasting", "Record maintenance", "Deal tracking", "Leadership", "Revenue growth", "Sales support", "Pipeline management", "Sales enablement", "Data management", "SaaS sales cycles", "Technology sales cycles", "Salesforce" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9961", "title" : "Embedded Sales Lead", "industry" : "Business Development", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Embedded Sales Lead in the Netherlands SaaS industry, adjusted for seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T15:25:24.207", "fingerprint" : "6009163b78b1127fac9b619503dc2eb51a2b93feebe4ff4f593ebe7ac3c1f962", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/5fee5066-35f1-4467-91ae-bb6f15fd7e38/apply", "externalId" : "5fee5066-35f1-4467-91ae-bb6f15fd7e38", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Salesforce, CRM", "professionalSkills" : [ "Sales execution", "Process optimization", "Strategic planning", "Relationship management", "Operational excellence", "Pipeline management", "Forecasting", "Deal closure", "Sales enablement", "Product knowledge", "Competitive positioning", "Objection handling", "Data integrity", "Reporting frameworks", "Partner engagement" ], "hardSkillsList" : [ "Sales support", "Sales training", "Data management" ], "hardSkills" : [ { "name" : "Sales support", "level" : "intermediate" }, { "name" : "Sales training", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" } ], "majorSkills" : "Channel sales, Partnership sales, Revenue growth, Sales enablement", "majorSkillsList" : [ "Channel sales", "Partnership sales", "Revenue growth", "Sales enablement" ], "coreResponsibilities" : "Drive revenue growth, Manage partner-referred opportunities, Provide advanced sales support, Address complex inquiries, Share best practices, Overcome obstacles, Maintain accurate pipeline management, Ensure reliable reporting, Design sales enablement initiatives, Deliver sales enablement initiatives, Serve as primary point of contact, Facilitate timely communication, Coordinate with subject matter experts, Ensure CRM data integrity, Contribute to sales process improvement, Contribute to reporting framework improvement, Contribute to partner engagement improvement, Identify opportunities for automation, Identify opportunities for scalability", "teamCollaboration" : "Globally distributed teams; Highly collaborative environment; Cross-functional stakeholders", "domainKnowledge" : "SaaS; Technology sales", "domainList" : [ "saas", "technology-sales" ], "domainSpecificKnowledge" : [ "SaaS", "Technology sales" ], "toolProficiency" : [ "Salesforce", "CRM" ], "communicationSkills" : "Presentation; Training", "continuousLearning" : "Annual learning and development budget", "problemSolvingSkills" : "Problem-solving; Analytical", "outcomesObjectives" : "Drive revenue growth; Successful outcomes; Partner success; Business growth", "qualificationsBasic" : "Proven experience in channel sales, Proven experience in partnership sales, Proven experience in business development, Proven experience in partner management, Understanding of complex sales cycles, Demonstrated ability to build relationships, Demonstrated ability to maintain relationships, Experience using Salesforce or similar CRM, Excellent communication skills, Excellent presentation skills, Excellent training skills, Analytical capabilities, Problem-solving capabilities, High level of organization, Fluent written and spoken English", "qualificationsPreferred" : "Experience in a SaaS environment, Experience in a technology-focused environment, Experience working remotely is advantageous, Demonstrated proficiency in automation tools, Demonstrated proficiency in AI technologies, Demonstrated proficiency in AI-driven workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Embedded Sales Lead based in Netherlands. This is an exciting opportunity for a sales professional who thrives at the intersection of partnerships, revenue growth, and enablement. In this role, you will work closely with strategic technology partners, supporting their sales teams and driving revenue through partner-referred opportunities. You will own the full sales cycle for partner-generated leads while helping partners improve their sales effectiveness through training, guidance, and operational support. The position combines hands-on sales execution with process optimization and strategic planning, making it ideal for someone who enjoys both relationship management and operational excellence. Working within a globally distributed and highly collaborative environment, you will have the opportunity to make a measurable impact on partner success and business growth. This role is particularly suited to individuals who are proactive, adaptable, and comfortable leveraging automation and AI-driven tools to enhance performance. ## Accountabilities Drive revenue growth by managing partner-referred opportunities throughout the entire sales cycle, from initial qualification to deal closure, ensuring consistent follow-up and successful outcomes. Provide advanced sales support to partner sales teams by addressing complex inquiries, sharing best practices, and helping overcome obstacles that may impact deal progression. Maintain accurate pipeline management and forecasting, ensuring reliable reporting of both direct referral opportunities and partner-generated revenue. Design and deliver sales enablement initiatives, including training programs focused on product knowledge, competitive positioning, and objection handling techniques. Serve as the primary point of contact for partner sales support channels, facilitating timely communication and coordinating with internal subject matter experts when required. Ensure CRM data integrity through regular audits, accurate record maintenance, and effective deal tracking. Contribute to the continuous improvement of sales processes, reporting frameworks, and partner engagement strategies while identifying opportunities for automation and scalability. Requirements Proven experience in channel sales, partnership sales, business development, or partner management, ideally within a SaaS or technology-focused environment. Strong understanding of complex sales cycles, including lead management, opportunity progression, forecasting, and deal closure. Demonstrated ability to build and maintain productive relationships with partners and cross-functional stakeholders. Experience using Salesforce or similar CRM platforms to manage pipelines, sales activities, and reporting processes. Excellent communication, presentation, and training skills, with the ability to effectively enable and support external sales teams. Strong analytical and problem-solving capabilities with a proactive approach to resolving challenges and driving results. High level of organization and attention to detail, particularly in forecasting, reporting, and data management. Ability to thrive in a fast-paced, remote-first environment while adapting to changing priorities and business needs. Fluent written and spoken English. Experience working remotely is advantageous but not essential. Demonstrated proficiency in automation tools, AI technologies, and AI-driven workflows. Benefits Competitive salary ranging from $85,300 to $191,900 USD annually, depending on experience, location, and market factors. Fully remote work environment with the flexibility to work from anywhere. Flexible working hours within an asynchronous work culture. Equity participation program. Comprehensive healthcare coverage, including medical, dental, vision, and mental health support. Generous paid time off and holiday policies. 16 weeks of paid parental leave. Annual learning and development budget for professional growth. Home office allowance and IT equipment support. Budget for local coworking spaces, team meetups, and in-person social events. Inclusive and diverse workplace culture focused on collaboration, growth, and employee well-being. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Embedded Sales Lead. Skills: Channel sales, Partnership sales, Revenue growth, Sales enablement. Drive revenue growth. Manage partner-referred opportunities", "postedDate" : "2026-06-15T14:19:52.670", "createdAt" : "2026-06-15T14:19:52.670", "lastUpdated" : "2026-06-16T15:25:24.207", "ingestTimestamp" : "2026-06-16T03:22:58.918", "mongoId" : "6a305118f292fd229cef9961", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Sales support", "Sales training", "Data management", "Channel sales", "Partnership sales", "Revenue growth", "Sales enablement", "Sales execution", "Process optimization", "Strategic planning", "Relationship management", "Operational excellence", "Pipeline management", "Forecasting", "Deal closure", "Product knowledge", "Competitive positioning", "Objection handling", "Data integrity", "Reporting frameworks", "Partner engagement", "SaaS", "Technology sales", "Salesforce", "CRM" ], "skillCount" : 25, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21a01374d8ee00a0c9f188", "title" : "Embedded Trainer", "company" : "Immersive Technologies", "industry" : "Manufacturing", "salary" : { "min" : 485000.0, "max" : 725000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Embedded Trainer in Colima, Mexico, adjusted for the mining industry and temporary employment type." }, "location" : "Colima, MX", "locations" : [ "Colima", "MX" ], "timestamp" : "2026-06-15T07:10:06.754", "fingerprint" : "bf7e8094f6c34e287681c02f8e494285e72734ba6476e62d8170259d095b8183", "source" : "breezyhr", "language" : "es", "applyUrl" : "https://immersive-technologies.breezy.hr/p/ce004376aadd-embedded-trainer-colima--mexico", "externalId" : "ce004376aadd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Colima", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.1666670,-104.0000000" } ], "locationText" : "Colima, Mexico", "employmentType" : "TEMPORARY", "coreResponsibilities" : "Train personnel on simulation equipment, Provide technical support for simulation systems, Develop training materials, Assess trainee performance, Report on training progress", "teamCollaboration" : "Mining operations teams; Training department", "domainKnowledge" : "Mining industry; Simulation training", "domainList" : [ "mining-industry", "simulation-training" ], "domainSpecificKnowledge" : [ "Mining industry", "Simulation training" ], "communicationSkills" : "Training delivery; Performance feedback", "documentationSkills" : "Training reports; Material development", "problemSolvingSkills" : "Troubleshoot equipment issues; Adapt training methods", "specialRequirements" : "On-site presence required, Travel within Colima", "outcomesObjectives" : "Improve operator proficiency; Enhance safety standards; Meet training targets", "workSiteFlexibility" : "Onsite", "rawDescription" : "\uD83D\uDEA8 Oportunidad Laboral | Embedded Trainer – Minería \uD83D\uDCCD Colima, México Sobre Immersive Technologies En Immersive Technologies somos líderes globales en soluciones de entrenamiento basado en simulación para la industria minera. Trabajamos junto a las principales compañías del mundo para mejorar la se", "summaryDescription" : "Embedded Trainer at Immersive Technologies. Train personnel on simulation equipment. Provide technical support for simulation systems", "createdAt" : "2026-06-14T05:47:19.851", "lastUpdated" : "2026-06-15T07:10:06.754", "ingestTimestamp" : "2026-06-14T05:47:19.851", "mongoId" : "6a21a01374d8ee00a0c9f188", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mining industry", "Simulation training" ], "skillCount" : 2, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2c8d7074d8ee00a0979000", "title" : "Director of Marketing, Health Systems", "company" : "Pivotal Health", "industry" : "Marketing", "salary" : { "min" : 180000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - NY", "locations" : [ "Remote - NY" ], "timestamp" : "2026-06-16T01:17:30.388", "fingerprint" : "a0362a2e182936c14be094affdd83516f8888fc94c06c4f9c2db468bc7802fe3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/pivotal-health/305da8d3-4864-494d-a1dc-d92834d6abcf/application", "externalId" : "305da8d3-4864-494d-a1dc-d92834d6abcf", "industryFunction" : { }, "structuredLocations" : [ { "state" : "New York", "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Develop brand strategy, Drive customer acquisition, Manage marketing campaigns, Analyze growth metrics", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT PIVOTAL HEALTH Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape. Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools. Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams. Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey. ABOUT THE ROLE As Pivotal’s Director of Marketing, Health Systems; you will have the opportunity to build and lead the Health Systems marketing strategy from the ground up at a pivotal stage of growth. As the owner of this critical audience segment, you will develop the go-to-market strategy to drive awareness, engagement, and pipeline within health systems and hospital organizations. You’ll define messaging, identify key industry events and associations, partner closely with Sales and SDR teams, and help shape how the company shows up in the market. The ideal candidate brings deep experience marketing to health systems, has a strong understanding of the healthcare landscape, and is excited by the challenge of creating strategy in a greenfield environment. This role offers significant ownership, visibility, and the opportunity to directly influence the company’s most important growth initiative. WHAT YOU’LL DO - Own and lead the go-to-market strategy for the Health Systems segment, driving awareness, engagement, and pipeline growth - Develop audience-specific positioning, messaging, and content strategies that resonate with health system decision-makers - Partner closely with Sales, RevOps, and SDR leadership to align marketing efforts with revenue goals and optimize outbound and inbound strategies - Build and execute demand generation programs that accelerate adoption within health systems and provider organizations - Identify and manage participation in key industry events, conferences, and associations to increase brand visibility and market presence - Analyze market trends, customer feedback, and competitive insights to refine marketing strategy and identify new opportunities - Establish the foundational marketing infrastructure, programs, and processes needed to scale the Health Systems business - Collaborate cross-functionally with Sales, Client Success, Operations, and Executive Leadership to ensure alignment on business objectives and customer needs - Measure and report on marketing performance, pipeline contribution, and segment growth, using data to inform strategy and investment decisions - Serve as the internal expert on the Health Systems market, helping shape company strategy and long-term growth initiatives WHO YOU ARE - 10+ years of progressive marketing experience, with a strong track record of driving B2B growth and demand generation - Minimum 3+ years of experience marketing to health systems and hospital decision makers - Experience developing marketing strategies and campaigns targeted at health system financial executives, including CFOs, CROs, and revenue cycle leaders - Strong understanding of healthcare, healthcare technology, or revenue cycle management environments - Hands-on experience with modern marketing technology stacks, including Salesforce, HubSpot, Marketo, Pardot, or similar platforms - Proficiency with marketing analytics and reporting tools, including Google Analytics - Experience building and optimizing lead generation programs across inbound and outbound channels - Strong analytical mindset with the ability to leverage data, customer insights, and market trends to inform strategy and decision-making - Exceptional cross-functional collaboration skills with experience partnering closely with Sales, SDRs, Product, and Executive Leadership teams EXTRA CREDIT EXPERIENCE - Familiarity with IDR (Independent Dispute Resolution) workflows, reimbursement processes, or healthcare claims operations - Exposure to modern, progressive technology practices, including process automation, AI-enabled workflows, and scalable operational systems WHY YOU’LL LOVE WORKING HERE We’re a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubs–Los Angeles and New York–we remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description. If you’re excited by solving complex problems and making a real-world impact, we’d love to hear from you. Benefits Include: - Competitive compensation, including equity - Full health, dental, and vision coverage - Retirement savings plan through 401(k) - Flexible time off - Opportunities for company-wide connection and events Ready to Make an Impact? We’re building something meaningful; and we want you on the team. Bring your ideas, curiosity, and drive, and let’s transform healthcare reimbursement together. EMPLOYMENT INFORMATION Work Authorization Candidates must be authorized to work in the United States without current or future employer sponsorship. Equal Employment Opportunity Pivotal Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status. Reasonable Accommodations Pivotal Health provides reasonable accommodations for qualified individuals with disabilities in accordance with applicable laws. If you need assistance during the application or interview process, please let us know. Background Checks Employment is contingent upon successful completion of applicable background checks, where permitted by law. At-Will Employment Employment with Pivotal Health is at-will and may be terminated by either party at any time, with or without cause or notice, in accordance with applicable law.", "summaryDescription" : "Director of Marketing, Health Systems at Pivotal Health. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Develop brand strategy. Drive customer acquisition", "createdAt" : "2026-06-14T17:50:00.944", "lastUpdated" : "2026-06-16T01:17:30.388", "ingestTimestamp" : "2026-06-14T17:50:00.944", "mongoId" : "6a2c8d7074d8ee00a0979000", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a307f0ff292fd229c054d8e", "title" : "Software Engineer III, 3D Modelling, XR", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer III in Zurich, Switzerland, adjusted for senior experience and the technology industry." }, "location" : "[Zürich, Switzerland, [Brandschenkestrasse 110, 8002 Zürich, Switzerland], Zürich, 8002, ZH, CH]", "locations" : [ "[Zürich, Switzerland, [Brandschenkestrasse 110, 8002 Zürich, Switzerland], Zürich, 8002, ZH, CH]" ], "timestamp" : "2026-06-16T12:20:48.970", "fingerprint" : "531ec1994db990305574bf6714c0c41528e787f3e17d710adc2b41a0116abe55", "source" : "google", "language" : "en", "externalId" : "113361147821728454", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zürich", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.3744489,8.5410422" } ], "locationText" : "Zürich, Switzerland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Software Engineer III, 3D Modelling, XR", "postedDate" : "2026-06-16T01:50:35.493", "createdAt" : "2026-06-16T01:50:35.493", "lastUpdated" : "2026-06-16T12:20:48.970", "ingestTimestamp" : "2026-06-16T01:50:35.493", "mongoId" : "6a307f0ff292fd229c054d8e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7e8f74d8ee00a0952dbd", "title" : "Functional Tester Jr", "company" : "NEORIS", "industry" : "Technology", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Functional Tester in Mexico City, Mexico, adjusted for the technology industry and company size." }, "location" : "Mexico", "locations" : [ "Mexico" ], "timestamp" : "2026-06-15T13:22:12.488", "fingerprint" : "9da96510e4b2370a8b0b8ec440bec7e9d810166312d44781bccdd25e8e0af6b5", "source" : "greenhouse", "language" : "es", "applyUrl" : "https://job-boards.eu.greenhouse.io/neoris/jobs/4893519101", "externalId" : "4893519101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Mexico", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "C, C++, TCP/IP", "professionalSkills" : [ "Desarrollo de aplicaciones", "Presentaciones ejecutivas", "Proyectos de investigación" ], "hardSkillsList" : [ "Lenguajes de Programación", "Redes informáticas" ], "softSkillsList" : [ "Actitud positiva", "Participativa" ], "hardSkills" : [ { "name" : "Lenguajes de Programación", "level" : "intermediate" }, { "name" : "Redes informáticas", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Actitud positiva" }, { "name" : "Participativa" } ], "majorSkills" : "Desarrollo de aplicaciones, Pruebas de software, Redes informáticas", "majorSkillsList" : [ "Desarrollo de aplicaciones", "Pruebas de software", "Redes informáticas" ], "coreResponsibilities" : "Adaptarse al proceso de trabajo de acuerdo con", "projectManagementSkills" : [ "Waterfall", "Agile", "RUP" ], "communicationSkills" : "Presentaciones ejecutivas", "continuousLearning" : "Aprendizaje continuo; Autoaprendizaje", "innovationCreativity" : "Innovación", "qualificationsBasic" : "Estudiante de Ingeniería en sistemas computacionales o similar, Experiencia comprobable desarrollando aplicaciones para proyectos escolares, Conocimiento solido en al menos un Lenguajes de Programación de Lenguajes de Bajo Nivel, como C o C++, Buen conocimiento de redes informáticas basadas en TCP/IP, Conocimientos en al menos un Lenguajes de Programación, Conocimiento del ciclo de vida de desarrollo de software, cascada o Ágil, Estar cursando su último semestre, Créditos anteriores a su último semestre al 100%", "qualificationsPreferred" : "Experiencia deseable presentando proyectos escolares y realizando presentaciones ejecutivas para demostraciones o pilotos, Experiencia académica comprobable realizando proyectos de investigación de tecnologías de la información, Motivación por el autoaprendizaje, Deseable conocimiento de pruebas de software", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes. Estamos en búsqueda de Functional Tester Jr, Perfil: Entender y adaptarse al proceso de trabajo de acuerdo con el ciclo de vida de desarrollo de software a ser utilizado en el proyecto (waterfall, agile, rup). Requerimientos: Estudiante de Ingeniería en sistemas computacionales o similar. Experiencia comprobable desarrollando aplicaciones para proyectos escolares. - Conocimiento solido en al menos un Lenguajes de Programación de Lenguajes de Bajo Nivel, como C o C++. Buen conocimiento de redes informáticas basadas en TCP/IP. Experiencia deseable presentando proyectos escolares y realizando presentaciones ejecutivas para demostraciones o pilotos. Experiencia académica comprobable realizando proyectos de investigación de tecnologías de la informació n. Motivación por el autoaprendizaje. Disponibilidad a tiempo completo Este cursando su último semestre Créditos anteriores a su último semestre al 100% Estudiante en Ingeniería en sistemas computacionales o similar. Conocimientos en al menos un Lenguajes de Programación Motivación por el autoaprendizaje. Deseable conocimiento de pruebas de software. Experiencia comprobable desarrollando aplicaciones para proyectos escolares. Conocimiento del ciclo de vida de desarrollo de software, cascada o Ágil. Experiencia deseable presentando proyectos escolares y realizando presentaciones ejecutivas para demostraciones o pilotos. Tener actitud positiva y participativa Ofrecemos: Esquema 100% Nominal Prestaciones de Ley Paquete de Beneficios Plan de Desarrollo Profesional Colaboración Multicultural Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS. Mayra González TAG de reclutador (LI-MG1)", "summaryDescription" : "Functional Tester Jr at NEORIS. Skills: Desarrollo de aplicaciones, Pruebas de software, Redes informáticas. 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