{ "count" : 41670, "data" : [ { "id" : "694ae6e370f0b99d589b3724", "title" : "Autonomous System Command Builder", "company" : "Côté Gold", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Autonomous System Command Builder in Gogama, Canada, adjusted for the mining industry." }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-16T04:43:12.618", "fingerprint" : "0109450bc980de878db97fd1f44440b395d2a1cbcb7fa7e0ffac857923df22b7", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57001", "externalId" : "57001", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "technicalSkills" : "Mine model, MineStar Command", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Mine model validation", "Mine model accuracy", "Road network design", "Dump area design", "Ramp design", "Road design" ], "hardSkills" : [ { "name" : "Mine model validation", "level" : "intermediate" }, { "name" : "Mine model accuracy", "level" : "intermediate" }, { "name" : "Road network design", "level" : "intermediate" }, { "name" : "Dump area design", "level" : "intermediate" }, { "name" : "Ramp design", "level" : "intermediate" }, { "name" : "Road design", "level" : "intermediate" } ], "majorSkills" : "Mine model implementation, Autonomous haulage operations, Operational metrics, Continuous learning", "majorSkillsList" : [ "Mine model implementation", "Autonomous haulage operations", "Operational metrics", "Continuous learning" ], "coreResponsibilities" : "Ensure integrity of mine model, Accurately reflect mine operations reality, Plan physical changes within AOZ, Validate physical changes within AOZ, Update physical changes within AOZ, Interpret designs to adjust model, Follow key productivity metrics, Trend key productivity metrics, Report in-cycle interruptions, Action in-cycle interruptions, Ensure dynamic areas are ready, Ensure dynamic areas are available, Complete documentation accurately, Complete data entry accurately, Monitor operations performance, Monitor system performance, Seek opportunities to improve operations, Investigate causes of cycle issues, Share problems and inefficiencies, Troubleshoot problems, Resolve problems, Consider risk dimensions, Deliver operational reliability, Form working relationships with Mine Operators, Form working relationships with Supervisors, Form working relationships with Control teams, Coordinate with team members on site, Meet shift deliverables, Mentor new team members, Train new team members, Lend expertise to team, Communicate clearly, Communicate effectively, Ensure equipment logs are accurate, Ensure equipment logs are complete, Ensure shift logs are accurate, Ensure shift logs are complete, Communicate deficiencies to team members, Participate in multi-disciplinary teams", "teamCollaboration" : "Mine Operators; Supervisors; Control teams; Other team members on site; Multi-disciplinary teams", "domainKnowledge" : "Open pit mining fundamentals; Autonomous mining operations; Autonomous Haulage fleet", "domainList" : [ "open-pit-mining-fundamentals", "autonomous-mining-operations", "autonomous-haulage-fleet" ], "domainSpecificKnowledge" : [ "Open pit mining fundamentals", "Autonomous mining operations", "Autonomous Haulage fleet" ], "toolProficiency" : [ "Minestar Command" ], "communicationSkills" : "Communicate clearly; Communicate effectively", "documentationSkills" : "Documentation completion; Data entry; Equipment logs; Shift logs", "continuousLearning" : "Continuous learning; Continuous improvement", "problemSolvingSkills" : "Troubleshoot problems; Resolve problems; Investigate causes of cycle issues", "outcomesObjectives" : "Ensure key performance indicators are met", "qualificationsBasic" : "Grade 12 or equivalent, 2 or more years of experience in an open pit mining environment, 2 or more years of experience in civil engineering, 2 or more years of experience in survey, 2 or more years of experience in autonomous operations environment", "qualificationsPreferred" : "College diplomas or university degrees in a related field, Previous exposure to Autonomous Builder role", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve today. Define tomorrow. At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Autonomous System Command Builder The Autonomous System Command Builder is responsible for the effective utilization of the Autonomous Haulage fleet using Minestar Command. The Builder is the “hands on” implementer of the mine model within MineStar Command for hauling. Key Responsibilities Area 1: Mine model validation and accuracy. Ensure the integrity of the mine model (road network, locations, equipment etc.) and that it accurately reflects mine operations reality. Plan, validate and update any physical changes within the Autonomous Operating Zone (AOZ) to the Mine Model either in the field or control center. Interpret designs (Shift plans, dump development, ramps, roads etc.) to adjust model accordingly. Follow and trend key productivity metrics. Report and action any in-cycle interruptions caused by field/operational conditions such as road quality, road design, setup of load and dump areas. Ensure all dynamic areas are ready and available for use. Accurate completion of documentation and data entry where necessary. Monitor operations/processes and system performance to ensure key performance indicators are met. Area 2: Operational excellence. Seek opportunities to improve field haul fleet operations. Commit to continuous learning and improvement. Continually seek to improve your skills as an Autonomous System Command Builder. Watch for inefficiencies or problems. Investigate causes of cycle issues Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost). Area 3: Work collaboratively with others to deliver operational reliability. Form close working relationships with Mine Operators, Supervisor and Control teams to drive efficiency of the Autonomous Haulage fleet. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves Minimum Qualifications, Formal Education, Certifications or Equivalents Grade 12 or equivalent. College diplomas or university degrees in a related field such as civil engineering, surveying, robotics, or autonomous systems is considered an asset. Work Experience – Nature & Length 2 or more years of experience in an open pit mining environment, civil engineering, survey or autonomous operations environment. Previous exposure to Autonomous Builder role will be highly regarded, but not essential. Additional Qualifications – Competency Requirements Advanced computer literacy. Sound knowledge of open pit mining fundamentals and autonomous mining operations. Able to visualize efficient roadways (shortest routes, fewest curves, fewest stop points). What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier Canadian gold producer with operating gold mines on three continents. We are in growth-mode, with a robust pipeline of development and exploration projects in Canada, South America and Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. IAMGOLD was recently recognized by the Corporate Knights magazine on its Top 50 Corporate Citizens in Canada list. Canada", "summaryDescription" : "Autonomous System Command Builder at Côté Gold. Skills: Mine model implementation, Autonomous haulage operations, Operational metrics, Continuous learning. Ensure integrity of mine model. Accurately reflect mine operations reality", "createdAt" : "2026-06-14T20:39:56.010", "lastUpdated" : "2026-06-16T04:43:12.618", "ingestTimestamp" : "2026-06-14T20:39:56.010", "mongoId" : "694ae6e370f0b99d589b3724", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mine model validation", "Mine model accuracy", "Road network design", "Dump area design", "Ramp design", "Road design", "Mine model implementation", "Autonomous haulage operations", "Operational metrics", "Continuous learning", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Open pit mining fundamentals", "Autonomous mining operations", "Autonomous Haulage fleet", "Minestar Command" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 889.1751, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068a7f292fd229cfc4ea6", "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" : "2026-06-16T09:02:38.057", "fingerprint" : "31f953011fdb869146f5a5cbffc62b3555fcf0bc4647d352472a648b0a9077eb", "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", "Organizational influence" ], "hardSkillsList" : [ "AI integration", "AI orchestration", "AI application design", "AI workflows", "LLM integration", "Autonomous systems" ], "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" : "Autonomous systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, AI Enablement, Autonomous Systems", "majorSkillsList" : [ "Agentic AI", "AI Enablement", "Autonomous Systems" ], "coreResponsibilities" : "Lead multidisciplinary team, Grow multidisciplinary team, Deploy multidisciplinary team, Allocate engineering capability, Establish best practices, Embed best practices, Drive high-performance 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 operating models, Embed human-in-the-loop models, Provide technical leadership, Ensure AI systems scalable, Ensure AI systems secure, Ensure AI systems observable, Ensure AI systems 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; Cross-functional leaders; Domain leaders; Functional leaders", "projectManagementSkills" : [ "Roadmap planning", "Prioritisation" ], "domainKnowledge" : "Agentic AI; Autonomous systems; LLM applications; Orchestration; RAG; Agentic workflows; Cloud-based delivery", "domainList" : [ "agentic-ai", "autonomous-systems", "llm-applications", "orchestration", "rag", "agentic-workflows", "cloud-based-delivery" ], "domainSpecificKnowledge" : [ "Agentic AI", "Autonomous systems", "LLM applications", "Orchestration", "RAG", "Agentic workflows", "Cloud-based delivery" ], "communicationSkills" : "Build credibility; Drive adoption", "continuousLearning" : "Personalised learning", "innovationCreativity" : "Emerging capabilities", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Drive business outcomes; Accelerate decision-making; Unlock new ways of working; Deliver measurable business 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, Shaping enterprise transformation, Understanding modern AI architecture, Experience in cloud-first environments, Establishing engineering standards, Establishing delivery frameworks, Establishing best practices, Delivering measurable business impact", "qualificationsPreferred" : "Azure AI services experience, AWS experience, GCP experience, Operating in Azure-aligned ecosystem, 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. Skills: Agentic AI, AI Enablement, Autonomous Systems. Lead multidisciplinary team. 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"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. Skills: Agentic AI, AI Enablement, LLM Architectures, Autonomous Systems. Lead AI engineering team. Grow AI engineering team", "postedDate" : "2026-06-15T16:15:26.000", "createdAt" : "2026-06-15T23:31:36.725", "lastUpdated" : "2026-06-16T06:57:48.161", "ingestTimestamp" : "2026-06-15T23:31:36.725", "mongoId" : "6a3053fcf292fd229cf1579b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "AI integration", "AI orchestration", "AI application design", "AI workflows", "LLM integration", "Agent orchestration", "RAG patterns", "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", "Leadership", "Agentic AI", "AI Enablement", "LLM Architectures", "Autonomous Systems", "System design", "Solution design", "Stakeholder management", "Roadmap planning", "Delivery ownership", "Organisational influence", "Prioritisation", "Autonomous systems", "LLM applications", "Cloud-based delivery", "Azure AI strategy", "Azure AI services" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 767.27765, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e199bc74574cb674d4c", "title" : "Autonomous Hardware and Radio Technician", "company" : "IAMGOLD", "salary" : { "min" : 89000.0, "max" : 122400.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T07:49:22.001", "fingerprint" : "32b23742ae3b2dba6dae50e661a56b3fbb0b0d82fcd02201504443c75ac79af3", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57405", "externalId" : "57405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "VHF/UHF, WIFI mesh, Microwave systems, Ethernet, Fiber-optic, Radio, Microwave, Wireless, Cisco Wi-Fi, LTE Radio", "professionalSkills" : [ "Problem-solving", "Prioritization", "Technical learning" ], "hardSkillsList" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications" ], "hardSkills" : [ { "name" : "Radio communications", "level" : "intermediate" }, { "name" : "Fleet Management Systems", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" } ], "majorSkills" : "Autonomous hardware, Radio systems, Mining technology, Wireless communication", "majorSkillsList" : [ "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication" ], "coreResponsibilities" : "Install wired/wireless communications, Repair wired/wireless communications, Maintain wired/wireless communications, Deploy VHF/UHF systems, Deploy WIFI mesh systems, Deploy microwave systems, Execute preventative maintenance, Inspect hardware, Identify field inefficiencies, Apply Command for Haulage expertise, Improve fleet throughput, Improve fleet quality, Troubleshoot technical issues, Manage mining databases, Manage fleet management software, Manage equipment logs, Ensure reporting accuracy, Partner with Mine Operators, Partner with Control teams, Coordinate shift deliverables, Resolve fleet problems, Train new team members, Manage FMS inventory, Prevent downtime", "teamCollaboration" : "Mine Operators; Control teams", "domainKnowledge" : "Autonomous haulage; Drill fleet; High Precision Machine Guidance; Mining databases; Fleet Management Systems; Autonomous Mining Systems; Microwave PTP; Microwave PTMP", "domainList" : [ "autonomous-haulage", "drill-fleet", "high-precision-machine-guidance", "mining-databases", "fleet-management-systems", "autonomous-mining-systems", "microwave-ptp", "microwave-ptmp" ], "domainSpecificKnowledge" : [ "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Fleet Management Systems", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP" ], "toolProficiency" : [ "Command for Haulage", "Fleet Management Systems", "Cisco Wi-Fi" ], "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Rotational schedule", "qualificationsBasic" : "Grade 12 or equivalent, 5+ years electrician experience, 5+ years communications infrastructure experience", "qualificationsPreferred" : "College diploma related field, University degree related field, Fleet Management Systems experience, Autonomous Mining Systems experience, High Precision Machine Guidance experience, Cisco Wi-Fi experience, LTE Radio Systems experience, Mining experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking an Autonomous Hardware and Radio Technician to join the Côté Gold Mine Site. This role is responsible for the reliable operation of the hardware and radio systems that support the autonomous haulage and drill fleet. The Autonomous Hardware/Radio Technician ensures safe, effective and timely implementation, configuration and maintenance of the operational mining technology network and wireless communication systems. This role will be based on our Cote Gold Mine Site (Gogama, ON), on a rotational schedule. Responsibilities: Install, repair, and maintain wired/wireless communications for autonomous haulage and drill equipment Deploy VHF/UHF, WIFI mesh, and microwave systems to support High Precision Machine Guidance Execute preventative maintenance and inspections to ensure all hardware meets safety and performance standards Identify field inefficiencies and apply Command for Haulage expertise to improve fleet throughput and quality Troubleshoot technical issues while weighing impacts on time, cost, sustainability, and safety Manage mining databases, fleet management software, and equipment logs to ensure reporting accuracy Partner with Mine Operators and Control teams to coordinate shift deliverables and resolve fleet problems Train new team members and manage Fleet Management System (FMS) inventory to prevent downtime Key Skills & Knowledge: Grade 12 or equivalent. College diplomas or university degrees in a related field such electrical, OT, autonomous systems technology is considered an asset Relevant Experience: 5 or more years of experience as an electrician or 5 or more years of experience supporting communications infrastructure (Ethernet, fiber-optic, radio, microwave, wireless). Experience with Fleet Management Systems, Autonomous Mining Systems, High Precision Machine Guidance, Cisco Wi-Fi and LTE Radio Systems is considered an asset. Experience installing, maintaining and fault-finding radio communications equipment and Fleet Management Systems is considered an asset; Mining experience may be considered an asset but is not required. Skills & Strengths, We Value: Highly organized and possess excellent analytical and problem-solving skills with the ability to prioritize effectively in a high-pressure environment. An aptitude for learning technical material and are detail orientated. Understanding of Microwave PTP, PTMP based radio and antennae systems; and Ability to read and interpret electronic schematics and Technical Specifications.    What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. •    Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. •    Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. •    Support When It Matters – Employee & Family Assistance Program for life’s challenges. •    Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. •    Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $89,000-122,400 The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Autonomous Hardware and Radio Technician at IAMGOLD. Skills: Autonomous hardware, Radio systems, Mining technology, Wireless communication. Install wired/wireless communications. Repair wired/wireless communications", "createdAt" : "2026-06-14T00:42:33.594", "lastUpdated" : "2026-06-15T07:49:22.001", "ingestTimestamp" : "2026-06-14T00:42:33.594", "mongoId" : "69ce5e199bc74574cb674d4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications", "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication", "Problem-solving", "Prioritization", "Technical learning", "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP", "Command for Haulage", "Cisco Wi-Fi" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 756.1231, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "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, "_score" : 750.8354, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ceff292fd229cf6422b", "title" : "Deputy Director of Recreation and Special Events", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Director-level Deputy Director of Recreation and Special Events in Marietta, United States, adjusted for government industry and full-time onsite work." }, "location" : "Marietta, GA", "locations" : [ "Marietta, GA" ], "timestamp" : "2026-06-16T07:57:04.593", "fingerprint" : "be446503d9825e56f3b3c91be50e7177ae9e8117fa56ceed72e43eac7b749aaa", "source" : "jazzhr", "language" : "en", "externalId" : "JswPgg8ULI", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Marietta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9528472,-84.5496148" } ], "locationText" : "Marietta, Georgia, United States", "experienceLevel" : "Director", "professionalSkills" : [ "Event planning", "Program management", "Budget management", "Vendor management", "Stakeholder management" ], "hardSkillsList" : [ "Recreation programming", "Special event execution" ], "hardSkills" : [ { "name" : "Recreation programming", "level" : "intermediate" }, { "name" : "Special event execution", "level" : "intermediate" } ], "majorSkills" : "Recreation management, Special events, Operations management", "majorSkillsList" : [ "Recreation management", "Special events", "Operations management" ], "coreResponsibilities" : "Oversee daily operations of recreation programs, Plan and execute special events, Develop and manage program budgets, Supervise and train staff, Ensure compliance with safety regulations, Coordinate with external vendors and stakeholders, Evaluate program effectiveness, Develop new recreation initiatives", "teamCollaboration" : "Cross-functional teams; Community stakeholders", "projectManagementSkills" : [ "Event planning", "Program development" ], "domainKnowledge" : "Recreation programming; Special event logistics", "domainList" : [ "recreation-programming", "special-event-logistics" ], "domainSpecificKnowledge" : [ "Recreation programming", "Special event logistics" ], "communicationSkills" : "Public speaking; Report writing", "documentationSkills" : "Program documentation", "problemSolvingSkills" : "Troubleshooting; Conflict resolution", "outcomesObjectives" : "Increase community participation; Ensure successful event execution; Maintain budget adherence", "qualificationsBasic" : "5+ years of experience in recreation or special events, Bachelor's degree in Parks and Recreation Management, Event Management, or related field", "qualificationsPreferred" : "Master's degree in a related field, Experience with budget management, Experience with volunteer management, Experience with contract negotiation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Deputy Director of Recreation and Special Events. Skills: Recreation management, Special events, Operations management. Oversee daily operations of recreation programs. 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Platform teams; Embedded teams", "domainKnowledge" : "Autonomous driving; Robotics; Deep Teaching methodology; Unsupervised learning; L2/L3 autonomy; Mass production; AV stack; High-performance computing; Real-time systems; AI-driven mobility; Software/hardware integration; Robotics middleware; ML model deployment; Safety-critical systems; Real-world testing protocols", "domainList" : [ "autonomous-driving", "robotics", "deep-teaching-methodology", "unsupervised-learning", "l2-l3-autonomy", "mass-production", "av-stack", "high-performance-computing", "real-time-systems", "ai-driven-mobility", "software-hardware-integration", "robotics-middleware", "ml-model-deployment", "safety-critical-systems", "real-world-testing-protocols" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "ML model deployment", "Safety-critical systems", "Real-world testing protocols" ], "toolProficiency" : [ "ROS2", "CARLA" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Stay abreast of industry trends; Stay abreast of emerging tools", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Safer roads; Economically viable AI deployment", "qualificationsBasic" : "Bachelor's or Master's degree, Lead projects, Mentor team members, Work autonomously, Backend programming foundation, C++ programming, Python programming, Design performant software systems, Develop performant software systems, Deploy performant software systems, Design real-time software systems, Develop real-time software systems, Deploy real-time software systems, Data structures command, Algorithms command, Software architecture command, Design patterns command", "qualificationsPreferred" : "Ph. D. preferred, Experience in autonomous vehicle development, Software/hardware integration expertise, ROS2 experience, Robotics middleware experience, ML model deployment experience, ML model monitoring experience, Data pipeline management experience, Model versioning experience, Simulation tools experience, CARLA experience, Real-world testing protocols experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We help make autonomous technologies more efficient, safer, and accessible. Helm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers https://helm.ai/post/helm-ai-and-honda-motor-co-agree-to-multi-year-adas-joint-development-for-mass-production-consumer-vehicles towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale. We are looking for versatile engineers to shape core components of the next generation of the Helm.ai http://Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai http://Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities. You will: - Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment. - Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack. - Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements. - Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning. - Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility. You have: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred. - Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments. - Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading. - Strong command of data structures, algorithms, software architecture, and design patterns. - Excellent problem-solving, communication, and collaboration skills, with a passion for innovation. The following are not required but a plus: - Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware. - Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems. - Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles. We offer: - Competitive health insurance options - 401K plan management - Remote-friendly and flexible team culture - Free lunch and fully-stocked kitchen in our South Bay office - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale - The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees.", "summaryDescription" : "Software Engineer, Autonomous Vehicles at Helm.ai. Skills: Backend systems, Software engineering, AI/ML. Design vehicle software systems. 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The successful candidates will become part of a small team focused on producing pieces across a multitude of niches and areas of interest, so they should", "summaryDescription" : "Trending Topics News Writers at GAMURS Group. Produce timely articles. Produce well-considered articles", "createdAt" : "2026-06-14T01:35:58.277", "lastUpdated" : "2026-06-15T07:50:33.641", "ingestTimestamp" : "2026-06-14T01:35:58.277", "mongoId" : "6a2c6b3c74d8ee00a0910d99", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 692.75635, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.0 }, { "id" : "6a191e7758b93c861e39f6b0", "title" : "Project & Product Management of Autonomous Driving", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 1100000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project & Product Management in the Automotive industry in Beijing, China, adjusted for company size and seniority." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T01:46:38.785", "fingerprint" : "d9ec25ee665eef7e77503620db71e7d3ebffc0707de090e8551651c11cb0f8de", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898617", "externalId" : "898617", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "technicalSkills" : "AI", "professionalSkills" : [ "Product management", "Project management", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up" ], "hardSkillsList" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Hardware development", "level" : "intermediate" }, { "name" : "Vehicle development", "level" : "intermediate" }, { "name" : "Product industrialization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product management, Project management, Autonomous Driving, ADAS", "majorSkillsList" : [ "Product management", "Project management", "Autonomous Driving", "ADAS" ], "coreResponsibilities" : "Lead MB. OS ADAS product & project development, Coordinate project management for MB ADAS projects, Track product & project maturity status, Create transparency about project scopes and timeline, Report project status, Manage resources, Manage risks, Co-work with Domain regards of supplier management, Maintain development project management system, Act as interface between different projects, Provide development project information, Provide technical consultant, Define cross functional ADAS product development system, Define cross functional ADAS product development tools, Own defined product development system, Own defined product development tools, Provide transparency to stakeholders, Drive development of system and processes, Plan project resources, Plan project budget, Align with RD HQ, Align with controlling, Lead resource lifecycle management, Utilize planned resource intelligently, Create project holistic overview, Update project premise handbook, Update project timeline, Communicate cross domainly, Define project scope, Define feature roll-out plan, Monitor implementation status, Defect project risks, Support supplier dialog, Support supplier meetings, Align product strategy, Support project business case evaluation, Support RD related funding, Manage escalation, Manage project delay, Manage resource shortage, Manage critical supplier performance, Steer change requests, Manage change cost, Manage change timeline, Provide technical support, Support surrounding processes, Support demand management, Support test management, Support legal evaluation, Support team matters, Support organization build-up", "teamCollaboration" : "Cross functional teams; Multi-stakeholder management; Diverse business partners", "projectManagementSkills" : [ "Agile", "Scrum", "PMP", "Jira", "Confluence" ], "domainKnowledge" : "Autonomous Driving; ADAS; Vehicle hardware; Vehicle software; Vehicle EE architecture; Vehicle SW architecture; Carline product industrialization; Series production; China-fit product", "domainList" : [ "autonomous-driving", "adas", "vehicle-hardware", "vehicle-software", "vehicle-ee-architecture", "vehicle-sw-architecture", "carline-product-industrialization", "series-production", "china-fit-product" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product" ], "toolProficiency" : [ "MS Office", "PowerPoint", "Excel", "Word", "Jira", "Confluence" ], "communicationSkills" : "Presentation skills", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "Master degree in electrical engineering, software engineering or computer science, 5+ years of experience in software development projects, Excellent skills in multi-stakeholder management, Good skills in conflict management, Advanced MS Office skills, Very good English", "qualificationsPreferred" : "Work experience at OEMs or suppliers, E/E especially ADAS and SW development experience, Working experience in international company, Experience with ADAS components/application, Experience working in an Agile development environment, Experience as scurm master or product owner, Advance knowledge in project management methodologies, PMP certification, Good knowledge & experiences about hardware/software/carline product industrialization, Know-how with vehicle EE architecture, Know-how with SW architecture/development, Familiar with vehicle development process, Experiences in collaboration with Joint venture partner, Experiences in supplier management, Good spirit, knowledge & experiences about AI tools, German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : " Object : Responsible as project lead for MB.OS ADAS product & project development for MB carlines in China market. Leading and coordinating the project management for MB ADAS projects in sense of development & industrialization phase, carline rollout phase and also change management within lifecycle. Responsible for product & project maturity status tracking towards carline SoP. Create transparency about projects scopes and timeline, be responsible for project status report, resources management and risk management, co-work with Domain regards of supplier management, maintain an efficient development project management system within the project lifecycle time Job designation/Field of work: Collaborate with different stakeholders, acting as the interface between different projects and providing necessary development project information and technical consultant for relevant stakeholders . Define and conduct cross functional ADAS product development system and tools for China market development projects. In order to create transparency for project milestone cross domainly, as well as resource distribution . Own the defined product development system and tools and provide the transparency to all stakeholders. Drive continously the development of the system and processes to ensure the high requirement of project management and effienciency . Project resource & budget planning including FTE & VMAT etc and alignment with RD HQ and controlling. Lead the resource lifecycle management according to different project . phases/workloads/milestone in order to ultilize the planned resource in an intelligent and reasonable way. Regular project status report to create project holistic overview for the relevant stakeholders and management . Regular project premise handbook and timeline update and cross domain communication to FO/PO and management . Define project scope and feature roll-out plan and monitoring the implementation status on each milestone . Management escalation by defecting project risks as earlier as possible. Support supplier dialog/meetings with management for critical projects . Product strategy alignment with multi - stakeholders . Support on project business case evaluation including RD related funding . Escalation and risk management: e.g. project delay, resource shortage, critical supplier performance at the delivery milestone etc. Change management during the project lifecycle time: Overall steering the change requests, cost and timeline management for the change implementation . Technical support for Project leaders and function managers with project management knowledge . Support surrounding processes (demand management, test management, legal evaluation) to cover the complete lifecycle of delivering a “China-fit” product. Support on Team matters, and organization build-up . Qualifications: Education: Master degree in electrical engineering, software engineering or computer science, or similar major Experience: Good knowledge/experience about vehicle hardware/software development project . Work experience at OEMs or suppliers for E/E especially ADAS and SW development is a plus. At least 5+ years of experience in software development projects . At least 5+ years of experience in software development projects . Working experience in international company is a plus. Experience with ADAS components/application is plus, e.g. Auto Parking, Driving assistant system, AEB… Experience working in an Agile development environment, Agile/Scrum methodology, experience as scurm master or product owner is plus . Specific Knowledge & requirements: Advance knowledge in terms of methodologies in project management, e.g. project plan, risk analysis, PMP is a plus. Good understanding about hardware & software development & quality methodologies, good knowledge & experiences about hardware/software/carline product industrialization for vehicle series production . Know-how with vehicle EE architecture and SW architecture/development is a plus . Familiar with vehicle development process is an advantage, experiences in collaboration with Joint venture partner or is a plus . Experiences in supplier management is a plus . Excellent skills in multi-stakeholder management and diverse business partners, experiences and good skills in conflict management is need . Advanced MS Office skills in PowerPoint, Excel and Word. Good spirit, knowledge & experiences about AI tools is a plus . Experience with Jira and Confluence or similar PM tools. Self-responsibility with high motivation for moving things forward, team player with team spirit . Leading and drive spirit with excellent communication, interpersonal and presentation skills . Willingness to travel inside China and foreign countries. Open minded for taking over challenges & responsibility with resilience . Very good English. German is a plus. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Project & Product Management of Autonomous Driving at Mercedes-Benz Group China Ltd.. Skills: Product management, Project management, Autonomous Driving, ADAS. Lead MB. OS ADAS product & project development. 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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-16T00:49:03.879", "fingerprint" : "99e0962c331c412f57b6b085e9422b662b849b6da20c3f48f0adbaf1372539cc", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=55661", "externalId" : "55661", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ontario", "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ontario, Canada", "technicalSkills" : "Robotics, Autonomous systems", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Autonomous mining operations" ], "hardSkills" : [ { "name" : "Autonomous mining operations", "level" : "intermediate" } ], "majorSkills" : "Autonomous operations reliability, Pit operations efficiency, Equipment operation, Troubleshooting", "majorSkillsList" : [ "Autonomous operations reliability", "Pit operations efficiency", "Equipment operation", "Troubleshooting" ], "coreResponsibilities" : "Coordinate all field aspects of Autonomous Operations Reliability, Advise control centre on operational changes, Optimize autonomous operations, Optimize individual truck operations, Coordinate and direct operations team members, Ensure safe operations, Ensure production operations, Perform regular survey activities, Perform validation activities, Conduct pit inspections, Conduct area surveys, Conduct field interactions, Conduct incident investigations, Create safe zones, Ensure AHS activities comply with regulations, Ensure AHS activities comply with mine guidelines, Identify truck behaviors requiring maintenance, Identify truck behaviors requiring optimization, Inform appropriate personnel, Interact with AHS system for manual interventions, Troubleshoot autonomous equipment, Run recovery scripts, Manually reset equipment, Ensure equipment is maintained, Ensure equipment is used in accordance with company, Ensure system configuration is optimal for AMT performance, Manage truck recovery, Manage truck intervention, Investigate occurrences causing AMTs to stop, Complete documentation accurately, Complete data entry accurately, Monitor field operations, Monitor truck performance, Ensure key performance indicators are met, Identify faults, Troubleshoot equipment, Ensure truck is available in correct mode, Commit to continuous learning, Commit to continuous improvement, Improve team's skill set, Watch for inefficiencies, Watch for problems, Share problems with others, Share inefficiencies with others, Troubleshoot problems collaboratively, Resolve problems collaboratively, Consider risk along five dimensions, Coordinate with other team members on site, Meet shift deliverables, Mentor new team members, Train new team members, Lend expertise to the team, Communicate clearly, Communicate effectively using provided tools, Ensure equipment logs are accurate, Ensure equipment logs are complete, Ensure shift logs are accurate, Ensure shift logs are complete, Communicate deficiencies to appropriate team members, Participate in multi-disciplinary teams", "teamCollaboration" : "Cross-functional teams; Multi-disciplinary teams", "domainKnowledge" : "Open pit mining; Autonomous mining operations", "domainList" : [ "open-pit-mining", "autonomous-mining-operations" ], "domainSpecificKnowledge" : [ "Open pit mining", "Autonomous mining operations" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Documentation completion; Data entry", "continuousLearning" : "Continuous learning; Continuous improvement; Improve team's skill set", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Ensure safe and production operations; Ensure AHS activities comply with regulations and mine guidelines; Ensure equipment is maintained and used according to standards; Ensure system configuration is optimal for AMT performance; Ensure key performance indicators are met; Deliver operational reliability", "qualificationsBasic" : "Grade 12 or equivalent, 5 or more years of experience in an open pit mining environment or autonomous operations environment", "qualificationsPreferred" : "College diplomas or university degrees in a related field such as mine engineering, robotics, or autonomous systems, Previous exposure to Autonomous Mining Systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve today. Define tomorrow. At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Autonomous Command Pit Controller The Autonomous Command Pit Controller is responsible for coordinating all field aspects of Autonomous Operations Reliability. Advises the control centre on operational changes that should be made to optimize the autonomous operations as well as the individual truck operations within the mine. Key Responsibilities Area 1: Pit operations efficiency. Coordinate and direct operations team members to ensure safe and production operations. Perform regular survey and validation activities of the Autonomous Operating Zone (AOZ) Conduct pit inspections and area surveys. Conduct field interactions and incident investigations. Create safe zones for others to work. Ensure all Autonomous Haulage System (AHS) activities are carried out in compliance with regulations and mine guidelines. Identify truck behaviors that requires maintenance or optimization and inform appropriate personnel. Interact with the AHS system as needed for manual interventions. Area 2: Safe and reliable equipment operation and troubleshooting. Troubleshoot autonomous equipment, run recovery scripts and manually reset equipment as required. Ensure all equipment is maintained and used in accordance with company health and safety standards. Responsible for ensuring system configuration is optimal for Autonomous Mine Truck (AMT) performance. Responsible for truck recovery and intervention. Responsible for investigating any occurrences that cause AMTs to stop. Accurate completion of documentation and data entry where necessary. Monitor field operations and truck performance to ensure key performance indicators are met Identify faults and troubleshoot equipment as required. Responsible for ensuring the truck is available in the correct mode as required. Area 3: Improve autonomous operations reliability. Commit to continuous learning and improvement. Continually seek to improve your team's skill set. Watch for inefficiencies or problems. Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost). Area 4: Work collaboratively with others to deliver operational reliability. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves Minimum Qualifications, Formal Education, Certifications or Equivalents Grade 12 or equivalent. College diplomas or university degrees in a related field such as mine engineering, robotics, or autonomous systems is considered an asset. Work Experience – Nature & Length 5 or more years of experience in an open pit mining environment or autonomous operations environment. Previous exposure to Autonomous Mining Systems is highly desirable, but not essential. Additional Qualifications – Competency Requirements Advanced computer literacy. Excellent communication skills (both verbal and written) Ability to work under pressure. Sound knowledge of open pit mining fundamentals and autonomous mining operations. What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier Canadian gold producer with operating gold mines on three continents. We are in growth-mode, with a robust pipeline of development and exploration projects in Canada, South America and Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. IAMGOLD was recently recognized by the Corporate Knights magazine on its Top 50 Corporate Citizens in Canada list. Canada", "summaryDescription" : "Autonomous Command Pit Controller at Côté Gold. Skills: Autonomous operations reliability, Pit operations efficiency, Equipment operation, Troubleshooting. Coordinate all field aspects of Autonomous Operations Reliability. Advise control centre on operational changes", "createdAt" : "2026-06-14T19:46:22.912", "lastUpdated" : "2026-06-16T00:49:03.879", "ingestTimestamp" : "2026-06-14T19:46:22.912", "mongoId" : "694ae6e370f0b99d589b3727", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Autonomous mining operations", "Autonomous operations reliability", "Pit operations efficiency", "Equipment operation", "Troubleshooting", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Open pit mining" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 665.1679, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafac74d8ee00a09d77ec", "title" : "Senior Project Manager (Autonomous Driving)", "company" : "42dot", "industry" : "PRODUCT", "salary" : { "min" : 8.5E7, "max" : 1.3E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project Manager in South Korea, adjusted for the technology industry, senior experience level, and the Pangyo city tier." }, "location" : "Pangyo (Software Dream Center), South Korea", "locations" : [ "Pangyo (Software Dream Center), South Korea" ], "certifications" : [ "ISO 26262", "ISO 21448", "UN R171", "Type Approval" ], "timestamp" : "2026-06-16T01:11:10.000", "fingerprint" : "c240e17a58b24360e6852f1b6cba733c311a5dd08e0aa37a67daa77d87ec7806", "source" : "ashby", "language" : "ko", "applyUrl" : "https://jobs.ashbyhq.com/42dot/51c7f616-1b14-4942-ac9a-47dbc77a0150/application", "externalId" : "51c7f616-1b14-4942-ac9a-47dbc77a0150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pangyo", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.3947237,127.1115312" } ], "locationText" : "Pangyo, South Korea", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, Software Architecture", "professionalSkills" : [ "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support" ], "hardSkillsList" : [ "Agile development", "Type approval certification", "Global compliance" ], "hardSkills" : [ { "name" : "Agile development", "level" : "intermediate" }, { "name" : "Type approval certification", "level" : "intermediate" }, { "name" : "Global compliance", "level" : "intermediate" } ], "majorSkills" : "Autonomous Driving, Product Management, System Integration, Certification Management", "majorSkillsList" : [ "Autonomous Driving", "Product Management", "System Integration", "Certification Management" ], "coreResponsibilities" : "Lead AD system development, Define AD stack integration scope, Define external platform integration scope, Define milestone, Define MVP, Define roadmap, Define execution plan, Manage ODD requirements, Manage AD function requirements, Manage system requirements, Manage interface requirements, Manage safety requirements, Coordinate Perception organization, Coordinate Planning organization, Coordinate Control organization, Coordinate Localization organization, Coordinate Vehicle Interface organization, Coordinate validation organization, Coordinate quality organization, Coordinate mass production organization, Plan stage-based verification, Operate gate review, Manage backlog, Manage dependency, Manage issue, Manage risk, Manage release, Communicate development status, Communicate schedule, Communicate quality, Communicate risk, Communicate decision points, Analyze global regulations, Reflect trends in roadmap, Reflect trends in strategy, Define product requirements, Specify product, Manage product milestones, Secure product safety, Review product deliverables, Collaborate with engineering, Interface with customers, Interface with partners, Interface with certification bodies, Lead gate reviews, Lead audits, Drive execution across teams, Support technical decisions", "teamCollaboration" : "Cross-functional organizations; Global teams; External technology partners; Vendors; Customers; Partners; Certification bodies; Engineering organizations", "projectManagementSkills" : [ "Agile", "Roadmap", "Milestone", "Risk management", "Release management", "Gate review", "Backlog management", "Dependency management", "Issue management" ], "domainKnowledge" : "Software-defined Vehicle; Autonomous Driving Systems; Vehicle Software; Driver Control Assistance System; Global Type Approval; AD Stack; Vehicle Integration; System Safety; Functional Safety; Autonomous Driving Standards", "domainList" : [ "software-defined-vehicle", "autonomous-driving-systems", "vehicle-software", "driver-control-assistance-system", "global-type-approval", "ad-stack", "vehicle-integration", "system-safety", "functional-safety", "autonomous-driving-standards" ], "domainSpecificKnowledge" : [ "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards" ], "toolProficiency" : [ "JIRA", "Confluence" ], "communicationSkills" : "Stakeholder communication; English communication; Technical discussion; Business negotiation", "documentationSkills" : "Technical documentation; Product specification; Safety strategy documentation", "problemSolvingSkills" : "Technical problem solving; Product perspective interpretation", "outcomesObjectives" : "Achieve global type approval; Lead product to mass production; Secure product safety; Successfully lead certification process", "qualificationsBasic" : "10+ years project/program management, 5+ years leading complex projects, Autonomous driving development experience, SDV development experience, Vehicle software development experience, AI/ML system development experience, SW/external platform integration experience, AD product lifecycle management, Software development process understanding, Requirements management understanding, Interface management understanding, Release management understanding, Global team collaboration, English communication skills, Requirements management tool usage, Technical documentation writing, OEM interface coordination, Tier 1 interface coordination, Global certification body interface coordination", "qualificationsPreferred" : "ADAS/AD mass production experience, Vehicle integration experience, OTA experience, Data pipeline experience, Perception stack understanding, Planning stack understanding, Control stack understanding, Localization stack understanding, Mapping stack understanding, Sensor fusion stack understanding, Vehicle interface stack understanding, SIL/HIL/VIL understanding, Simulation validation understanding, Scenario-based validation understanding, Proving ground validation understanding, Public road test understanding, Systems engineering experience, Software engineering experience, Vehicle safety experience, Certification experience, ISO 26262 application experience, ISO 21448 application experience, UN R171 application experience, AD architecture understanding, Control unit development process understanding, Global certification body audit experience, Type approval acquisition experience, Product perspective problem solving, Global partner negotiation skills, English technical discussion skills", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WE ARE LOOKING FOR THE BEST 42dot Product Management 조직은, SDV(Software-defined Vehicle) 에서 자율주행 프로젝트를 리딩할 역량 있는 Product Manager를 찾고 있습니다. 이 역할은 단순 일정 관리가 아닌 Vehicle Software 기반의 차량 개발을 end-to-end로 리딩하는 포지션입니다. 본 포지션은 Vehicle Engineering 이해를 기반으로 하되, Lv 2~ Lv 4 자율주행 시스템의 요구 사항, 개발, 검증, 릴리즈, 차량 적용까지 전 과정을 통합 관리하며, 소프트웨어 아키텍처 관점에서 프로젝트를 구조화하고 리딩할 수 있는 역량이 요구됩니다. 그리고 DCAS(Driver Control Assistance System)의 글로벌 형식 승인(Type Approval) 인증을 담당하여, 인증 전략 수립부터 기술 문서 작성, 내·외부 이해관계자 조율, 인증 기관 심사 대응까지 인증 프로세스 전반을 end-to-end로 주도합니다. 복잡한 자율주행 기술 스택과 다수의 이해관계자 사이에서 명확한 방향성을 제시하고, 글로벌 기준에 부합하는 고품질 인증 산출물을 성공적으로 이끌어낼 분을 모십니다. Responsibilities - AD Product Manager - AD 시스템 개발의 기획, 개발, 검증, 양산까지 end-to-end 프로젝트 리딩 - 자체 개발 AD stack과 외부 플랫폼 간 개발/통합 범위를 정의하고, milestone, MVP, roadmap 및 실행 계획 수립 - ODD, AD 기능, 시스템 요구사항, interface, safety requirement 등 주요 요구사항 관리 및 유관 조직 alignment - Perception, Planning, Control, Localization, Vehicle Interface, 검증, 품질, 양산 등 다양한 조직 간 cross-functional coordination 수행 - SIL/HIL/VIL, simulation, proving ground, public road test 등 단계별 검증 계획 수립 및 gate review 운영 - JIRA, Confluence 등 Agile 기반 프로젝트 운영을 통해 backlog, dependency, issue, risk, release 관리 - 경영진 및 주요 이해관계자 대상 개발 현황, 일정, 품질, 리스크, 주요 의사결정 사항 커뮤니케이션 - DCAS Certification Manager - 글로벌 자율주행 및 ADAS 법규의 트렌드 분석 및 제품 로드맵·출시 전략 반영 - 인증 법규 요구사항 기반의 제품 기능적/비기능적 요구사항 정의 및 제품 스펙 구체화 - 자율주행 제품의 컨셉, 설계, 검증, 최종 형식 승인 및 양산 출시 전 과정의 마일스톤 관리 - 글로벌 표준에 부합하는 제품 안전성 확보 전략 수립 및 산출물의 검토, 엔지니어링 조직과의 협업 - 고객, 협력사, 글로벌 인증 기관과의 인터페이스 총괄 및 제품 승인을 위한 게이트 리뷰 및 심사 리드 - Agile & Engineering Execution - Agile 개발 환경(JIRA, Confluence 등) 기반 운영 - Milestone 관리 - Gate review 리딩 및 경영진 대상 기술 기반 의사결정 지원 - Cross-functional 조직 간 기술 중재 및 실행 드라이브 Qualifications - Automotive, Mobility, Robotics, AI 또는 Software 산업에서 10년 이상 프로젝트/프로그램 관리 경험 - 대규모 cross-functional 또는 복잡도 높은 기술 개발 프로젝트를 5년 이상 리드한 경험 - 자율주행, SDV, 차량 소프트웨어 또는 AI/ML 기반 시스템 개발 프로젝트 경험 - 자체 개발 SW와 외부 솔루션/플랫폼을 함께 활용하는 환경에서 integration, dependency, risk, milestone 관리 경험 - AD 제품의 기획부터 양산까지 전체 라이프사이클 관리 경험 - 소프트웨어 개발 프로세스, 요구사항 관리, interface 관리, release 관리에 대한 이해 - 글로벌 팀, 외부 기술 파트너 또는 vendor와의 협업 및 영어 기반 커뮤니케이션 능력 - 요구사항 관리 및 개발/협업 도구를 활용한 시스템, 소프트웨어 요구사항 정의와 기술 문서 작성 경험 - OEM, Tier 1, 글로벌 인증 기관 등 다양한 이해관계자와의 인터페이스 조율 및 협업 경험 Preferred Qualifications - ADAS/AD 양산 및 vehicle integration, OTA, data pipeline 관련 프로젝트 경험 - Perception, Planning, Control, Localization, Mapping, Sensor Fusion, Vehicle Interface 등 AD stack에 대한 이해 - SIL/HIL/VIL, simulation, scenario-based validation, proving ground, public road test 등 AD 검증 환경에 대한 이해 - 시스템 및 소프트웨어 엔지니어링, 차량 안전 및 인증 관련 3년 이상 실무 경력 - 기능안전/자율주행 표준(ISO 26262, ISO 21448, UN R171 등) 중 1개 이상의 실무 적용 경험 - AD 아키텍처 및 제어기 개발 프로세스 이해를 바탕으로 한 엔지니어링 조직과의 기술 논의 경험 - 글로벌 인증 기관 Audit 대응 및 차량용 시스템/소프트웨어 법규 승인(Type Approval) 획득 경험 - 기술적 이슈를 제품 관점에서 해석하고, 다수의 이해관계자 사이에서 명확한 방향성을 제안하는 역량 - 글로벌 파트너 및 인증 기관 대상의 원활한 영어 기술 논의 및 비즈니스 협상 능력 Interview Process - 서류전형 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격 - 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. - 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다. Additional Information - 이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.) - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 3개월의 수습기간이 적용될 수 있습니다. ※ 지원 전 아래 내용을 꼭 확인해 주세요. - 42dot이 일하는 방식, 42dot Way 보러가기 → https://42dot.ai/careers/way - 42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 → https://42dot.ai/careers/program", "summaryDescription" : "Senior Project Manager (Autonomous Driving) at 42dot. Skills: Autonomous Driving, Product Management, System Integration, Certification Management. Lead AD system development. Define AD stack integration scope", "createdAt" : "2026-06-14T20:20:42.189", "lastUpdated" : "2026-06-16T01:11:10.000", "ingestTimestamp" : "2026-06-14T20:20:42.189", "mongoId" : "6a2cafac74d8ee00a09d77ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agile development", "Type approval certification", "Global compliance", "Autonomous Driving", "Product Management", "System Integration", "Certification Management", "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support", "Agile", "Roadmap", "Milestone", "Gate review", "Backlog management", "Dependency management", "Issue management", "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards", "ISO 26262", "ISO 21448", "UN R171", "Type Approval", "JIRA", "Confluence" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 657.919, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3057b0f292fd229cf3d1ad", "title" : "Model-Based Systems Engineer", "company" : "STR", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Model-Based Systems Engineer in Arlington, United States, adjusted for the technology industry and company size." }, "location" : "Arlington, Virginia, United States", "locations" : [ "Arlington", "Virginia", "United States", "Dayton", "Ohio", "United States", "Woburn", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:27:42.989", "fingerprint" : "4c6e54a66b20b9ef01387c586df853cc9587bf0075fa02b8d86b7bd5d687c7e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/systemstechnologyresearch/jobs/4688995006", "externalId" : "4688995006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "rawDescription" : "STR is hiring a Model-Based Systems Engineer (MBSE) to work across a broad portfolio of DoD mission areas. 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, "_score" : 657.7565, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ed874d8ee00a0953de9", "title" : "Sr. Product Manager, Specialized Modeling & Verticals", "company" : "6sense", "industry" : "SaaS", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in Austin, TX, adjusted for the SaaS industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-15T07:58:16.348", "fingerprint" : "38764edee9c5ab25961f9150ba8b1cb7c46b400ffc700d5ea8525e97c1ed9f72", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/6sense/jobs/7994493?gh_jid=7994493", "externalId" : "7994493", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ML, Data Science", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Applied ML expertise", "B2B domain knowledge", "Strategic partnering", "Execution rigor" ], "hardSkillsList" : [ "Modeling requirements", "Performance metrics" ], "hardSkills" : [ { "name" : "Modeling requirements", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "majorSkills" : "Specialized Modeling, Verticals, Applied Intelligence, B2B marketing", "majorSkillsList" : [ "Specialized Modeling", "Verticals", "Applied Intelligence", "B2B marketing" ], "coreResponsibilities" : "Drive Specialized Modeling Initiatives, Lead roadmap for intelligence layers, Develop Specialized, Use-Case Specific Models, Partner with stakeholders, Build specialized models, Own the \"Applied Intelligence\" Roadmap, Consume core engines, Turn engines into specialized features, Maximize Model Utility, Ensure models are built leveraged, Define Domain-Specific Requirements, Translate business problems, Measure Impact in Context, Establish performance metrics", "teamCollaboration" : "Cross-functional collaboration; Partner with business stakeholders; Work with data science teams; Work with Predictive Lead; Work with other PMs", "projectManagementSkills" : [ "Roadmap", "User stories" ], "domainKnowledge" : "B2B marketing needs; B2B revenue lifecycle; Sales Ops; Demand Gen; B2B data model; B2B marketing scenarios", "domainList" : [ "b2b-marketing-needs", "b2b-revenue-lifecycle", "sales-ops", "demand-gen", "b2b-data-model", "b2b-marketing-scenarios" ], "domainSpecificKnowledge" : [ "B2B marketing needs", "B2B revenue lifecycle", "Sales Ops", "Demand Gen", "B2B data model", "B2B marketing scenarios" ], "continuousLearning" : "Learn every day", "innovationCreativity" : "Scale specialized intelligence; Productizing niche signals", "problemSolvingSkills" : "Solve specialized enterprise revenue challenges; Solve complex domain-specific challenges", "outcomesObjectives" : "Drive real-world revenue outcomes", "qualificationsBasic" : "4-6+ years in Product Management, Experience managing ML products, Understand B2B revenue lifecycle, Work with other PMs, Take high-level capability to shipped feature", "qualificationsPreferred" : "Focus on Data Products, Focus on AI/ML, Focus on B2B SaaS applications", "remoteFriendly" : false, "workSiteFlexibility" : "Remote", "rawDescription" : "Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in deﬁning the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Sr Product Manager, Specialized Modeling & Verticals At 6sense, our core predictive foundation provides the engine, but our specialized models provide the steering for specific business outcomes. We are looking for a Sr Product Manager to own Specialized Modeling & Verticals—focusing on the intelligence that powers verticalized tasks and addresses specific B2B marketing needs. You will work closely with the PM Lead to leverage foundational intelligence and build out specialized layers that solve the specialized enterprise revenue challenges. Why 6sense? AI That Builds Pipe, Not Hype: Our Revenue AI™ identifies accounts ready to buy, crafts the right message, and qualifies meetings automatically. We don’t just surface data—we deliver intelligence and action. Crack the Dark Funnel™: Less than 3% of buyers engage early. We uncover hidden buying signals, decode the “breadcrumb trails,” and help revenue teams connect with buyers in ways they never could before. Orchestrate the Full Journey: From dynamic audience creation to multi-channel engagement, we empower marketers to reach the right accounts, at the right time, with the right message—across advertising, email, web, and sales. Arm Operations Teams: Integrate insights, centralize audience creation, and maximize impact by connecting 6sense with your tech stack. We’re the single canvas for your entire GTM strategy. Your Impact As Sr Product Manager, Specialized Modeling & Verticals, you will: Drive Specialized Modeling Initiatives. Lead the roadmap for intelligence layers that address verticalized tasks and specific B2B marketing needs. You ensure that core signals are translated into high-value specialized business outcomes. Develop Specialized, Use-Case Specific Models. Partner with business stakeholders, customers, and data science teams to build specialized models fed by our core engines, ensuring our intelligence remains highly relevant and accurate across diverse business scenarios. Own the \"Applied Intelligence\" Roadmap. Work with the Predictive Lead to consume core engines and turn them into specialized features that solve complex, domain-specific challenges for the world's largest enterprises. Maximize Model Utility. Ensure that specialized models are built with a \"leveraged\" mindset—creating solutions that solve a broad class of problems rather than one-off custom requests. Define Domain-Specific Requirements. Act as the bridge between specialized business workflows (like Sales Ops or Demand Gen) and our data science teams, translating complex business problems into clean modeling requirements. Measure Impact in Context. Establish performance metrics that aren't just about model accuracy, but about how effectively these specialized signals drive real-world revenue outcomes. Strategic Themes You'll Drive Applied Precision. Ensure our core intelligence is accurately applied to the most complex and nuanced parts of the B2B data model. Use-Case Focused Intelligence. Ensure that intelligence models are optimized for specific B2B marketing scenarios and user requirements to maintain high relevance. The Last Mile of Prediction. Own the logic that turns a raw predictive score into a specific, high-confidence recommendation for a sales or marketing user. What You'll Bring Applied ML Expertise. You have experience managing ML products and are comfortable discussing model inputs, logic, and validation with data scientists. B2B Domain Knowledge. You understand the B2B revenue lifecycle—leads, accounts, opportunities, and the complex challenges that come with them. Strategic Partnering. A proven ability to work with other PMs. You know how to leverage foundational platforms to build specialized value. Execution Rigor. You excel at taking a high-level capability and turning it into a specific, shipped feature that solves a concrete user pain point. Experience. 4-6+ years in Product Management, with a focus on Data Products, AI/ML, or B2B SaaS applications. Why You’ll Love This Role Impact: You bring the power of 6sense Predictive Models to life for specific industries, turning generalized models into Applied Domain Expertise that solves unique revenue problems. Innovation: You will lead the effort to scale specialized intelligence across industries, identifying and productizing the niche signals that drive high-value outcomes for our most complex B2B customers. Growth: Join a rocket ship, learn every day, and accelerate your career in a collaborative, high-energy environment. Fun: We take our work seriously, but not ourselves. Expect GIFs, puns, and the occasional ABM meme. Base Salary Range: $144,506.25 - $211,942.50. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our oﬃces. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com", "summaryDescription" : "Sr. Product Manager, Specialized Modeling & Verticals at 6sense. Skills: Specialized Modeling, Verticals, Applied Intelligence, B2B marketing. Drive Specialized Modeling Initiatives. Lead roadmap for intelligence layers", "postedDate" : "2026-06-13T21:19:04.138", "createdAt" : "2026-06-13T21:19:04.138", "lastUpdated" : "2026-06-15T07:58:16.348", "ingestTimestamp" : "2026-06-13T21:19:04.138", "mongoId" : "6a2c7ed874d8ee00a0953de9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Modeling requirements", "Performance metrics", "Specialized Modeling", "Verticals", "Applied Intelligence", "B2B marketing", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Applied ML expertise", "B2B domain knowledge", "Strategic partnering", "Execution rigor", "Roadmap", "B2B marketing needs", "B2B revenue lifecycle", "Sales Ops", "Demand Gen", "B2B data model", "B2B marketing scenarios" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 649.2226, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25145374d8ee00a00bb309", "title" : "Sr. Systems Engineer", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, System Development Engineering, Retail", "salary" : { "min" : 151000.0, "max" : 204600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:31:56.021", "fingerprint" : "7e290857f02f07f6a032e88348c87e5c3ca59bd625be915a369913d2a6bdcdb1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441315/apply", "externalId" : "9f5f2dd4-1fed-412b-852f-609c249a76c9", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "System design, Distributed system architecture", "professionalSkills" : [ "Systems engineering", "Technical lead", "Technical program management", "Trade studies", "Requirements analysis", "Verification reports", "System life cycle", "Regulatory compliance" ], "hardSkillsList" : [ "Systems engineering", "Test strategy development", "Test plan development", "Regulatory analysis" ], "hardSkills" : [ { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Test strategy development", "level" : "intermediate" }, { "name" : "Test plan development", "level" : "intermediate" }, { "name" : "Regulatory analysis", "level" : "intermediate" } ], "majorSkills" : "Systems engineering, Autonomous systems, Cloud architecture", "majorSkillsList" : [ "Systems engineering", "Autonomous systems", "Cloud architecture" ], "coreResponsibilities" : "Define safety critical autonomous ground system features, Design safety critical autonomous ground system features, Verify safety critical autonomous ground system features, Launch safety critical autonomous ground system features, Serve as systems engineering lead for subsystem(s), Serve as subject matter expert for subsystem(s), Lead interdisciplinary trade studies, Determine critical requirements for scalable cloud based system, Generate CONOPs, Generate design documents, Generate interface control documents, Generate requirements, Generate test cases, Generate test procedure, Generate test execution, Generate verification reports, Own the entire system life cycle, Take features from concept to production, Review airspace regulations, Review industry standards, Collaborate with cross-functional teams, Define site-specific requirements, Expand automated traffic management system, Validate system adherence to regulatory requirements, Validate system adherence to safety requirements, Write verification plan", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Airspace Mission Orchestration System; Safety critical systems; Cloud based systems; Operator interface; Traffic management; Route planning; Geospatial systems; Distributed systems; Airspace regulations; Automated traffic management; ARP4754A; DO-178C; DO-278A; DO-254; Geospatial engineering; Weather Science; Flight Decks", "domainList" : [ "airspace-mission-orchestration-system", "safety-critical-systems", "cloud-based-systems", "operator-interface", "traffic-management", "route-planning", "geospatial-systems", "distributed-systems", "airspace-regulations", "automated-traffic-management", "arp4754a", "do-178c", "do-278a", "do-254", "geospatial-engineering", "weather-science", "flight-decks" ], "domainSpecificKnowledge" : [ "Airspace Mission Orchestration System", "Safety critical systems", "Cloud based systems", "Operator interface", "Traffic management", "Route planning", "Geospatial systems", "Distributed systems", "Airspace regulations", "Automated traffic management", "ARP4754A", "DO-178C", "DO-278A", "DO-254", "Geospatial engineering", "Weather Science", "Flight Decks" ], "documentationSkills" : "Interface control documents; Verification reports", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Analytical capabilities; Solve hard problems", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or an equivalent field, Experience as a technical lead, systems engineer, or technical program manager with significant experience in complex systems, Experience developing test strategies and plans for complex hardware/software systems or systems of systems", "qualificationsPreferred" : "5+ years of experience working in an environment with one or more: ARP4754A, DO-178C, DO-278A, DO-254, or related, Experience in Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management, Experience in cloud based software development, system design, and/or distributed system architecture, Master's degree in Aerospace, Computer Science, Engineering, Mathematics, or a related field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve massive-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air team! We are seeking an experienced Sr. Systems Engineer who combines superb technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our engineering teams. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history! Key job responsibilities As a Senior Systems Engineer you will define, design, verify, and launch safety critical autonomous ground system features in a variety of airspace environments. Key responsibilities include: - Serve as the systems engineering lead and subject matter expert for subsystem(s) within the Airspace Mission Orchestration System, containing the safety critical cloud based operator interface, traffic management, communications, route planning, geospatial, and distributed system functions. - Lead interdisciplinary trade studies across Prime Air software, system, product, and regulatory functions to determine the critical requirements for a scalable cloud based system architecture. - Generate key systems engineering artifacts CONOPs, design documents, interface control documents, requirements, test cases, test procedure, test execution, and verification reports. - Own the entire system life cycle, taking features from concept to production in a way that is safe, performant, and certifiable. A day in the life The Senior Systems Engineer begins by reviewing the latest airspace regulations and industry standards. They then collaborate with cross-functional teams to define site-specific requirements for expanding the automated traffic management system to multiple locations within different jurisdictions. This is followed by a deep dive into the compliance matrix, validating the system's adherence to internal and external regulatory and safety requirements. The day concludes with writing a verification plan to ensure critical system requirements are adequately tested. Leveraging technical expertise, analytical skills, and collaboration, the engineer drives the successful integration and deployment of the automated traffic management solution. About the team The systems engineering team is a driven, focused, and experience team of aerospace professionals. Our systems engineering team is driven by a relentless customer obsession, we tackle the toughest technical challenges, turning visions into reality. Our mission is to design, integrate, and verify innovative ground systems that push the boundaries of what's possible. We are a collaborative group of problem-solvers, each bringing unique expertise from aerospace and technology sectors. Our culture is one of ownership and accountability - we take pride in our work and hold ourselves to the highest standards. Basic Qualifications: - Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or an equivalent field - Experience as a technical lead, systems engineer, or technical program manager with significant experience in complex systems - Experience developing test strategies and plans for complex hardware/software systems or systems of systems Preferred Qualifications: - 5+ years of experience working in an environment with one or more: ARP4754A, DO-178C, DO-278A, DO-254, or related. - Experience in one or more of the following: Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management. - Experience in cloud based software development, system design, and/or distributed system architecture. - Master's degree in Aerospace, Computer Science, Engineering, Mathematics, or a related field 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, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Systems Engineer at Amazon.com Services LLC. Skills: Systems engineering, Autonomous systems, Cloud architecture. Define safety critical autonomous ground system features. 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0.9 }, { "id" : "6a2ca05574d8ee00a09a1e97", "title" : "Systems Software Engineer, Generalist", "company" : "Saronic Technologies", "industry" : "Software", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Software Engineer in Austin, adjusted for the technology industry and company size." }, "location" : "Austin, TX", "locations" : [ "Austin, TX", "San Diego, CA" ], "timestamp" : "2026-06-15T13:01:11.363", "fingerprint" : "d416e5d97fce0be066c87cc25c31607ac959149662ae4ad14069df6a21b60a54", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/saronic/c70261ad-4e3f-47a4-9032-020b9c899752/application", "externalId" : "c70261ad-4e3f-47a4-9032-020b9c899752", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, Rust, Go, Linux", "professionalSkills" : [ "Systems design", "Performance optimization", "Fault tolerance" ], "hardSkillsList" : [ "Software development", "Systems engineering", "Embedded systems", "Robotics", "Autonomy", "Distributed systems", "Real-time systems", "Cyber-physical systems" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Robotics", "level" : "intermediate" }, { "name" : "Autonomy", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Cyber-physical systems", "level" : "intermediate" } ], "majorSkills" : "Systems Software Engineering, Autonomous systems, Robotics, Embedded systems", "majorSkillsList" : [ "Systems Software Engineering", "Autonomous systems", "Robotics", "Embedded systems" ], "coreResponsibilities" : "Design software for autonomous vehicle systems, Develop software for autonomous vehicle systems, Maintain software for autonomous vehicle systems, Build reliable software solutions, Build scalable software solutions, Build maintainable software solutions, Develop software interfacing with sensors, Develop software interfacing with actuators, Develop software interfacing with networking equipment, Develop software interfacing with onboard compute systems, Optimize software performance, Optimize software reliability, Optimize software observability, Optimize software fault tolerance, Design distributed services, Implement distributed services, Design communication frameworks, Implement communication frameworks, Design data pipelines, Implement data pipelines, Participate in architecture discussions, Participate in technical decision-making, Support testing, Support validation, Support deployment, Support troubleshooting, Contribute to engineering processes improvement, Contribute to tooling improvement, Contribute to development practices improvement", "teamCollaboration" : "Cross-functional engineering environments; Electrical engineering teams; Mechanical engineering teams; Autonomy engineering teams; Perception engineering teams; Field engineering teams", "domainKnowledge" : "Autonomous vehicle systems; Maritime operations; Robotics platforms; Distributed systems; Embedded systems; Real-time systems; Autonomy; Aerospace; Defense; Maritime; Automotive; Industrial automation; Cyber-physical environments; Hardware communication protocols; Robotics frameworks; Cloud infrastructure; Backend services; Mission-critical environments", "domainList" : [ "autonomous-vehicle-systems", "maritime-operations", "robotics-platforms", "distributed-systems", "embedded-systems", "real-time-systems", "autonomy", "aerospace", "defense", "maritime", "automotive", "industrial-automation", "cyber-physical-environments", "hardware-communication-protocols", "robotics-frameworks", "cloud-infrastructure", "backend-services", "mission-critical-environments" ], "domainSpecificKnowledge" : [ "Autonomous vehicle systems", "Maritime operations", "Robotics platforms", "Distributed systems", "Embedded systems", "Real-time systems", "Autonomy", "Aerospace", "Defense", "Maritime", "Automotive", "Industrial automation", "Cyber-physical environments", "Hardware communication protocols", "Robotics frameworks", "Cloud infrastructure", "Backend services", "Mission-critical environments" ], "toolProficiency" : [ "ROS/ROS2" ], "problemSolvingSkills" : "Root cause analysis; Debugging; Troubleshooting", "specialRequirements" : "U.S. Person status required, Manual dexterity, Visual acuity, Lifting up to 20 pounds", "qualificationsBasic" : "5+ years professional software engineering experience, Experience developing software for systems that interact with physical hardware, Understanding of Linux-based development environments, Experience with software architecture, debugging, testing, and performance optimization, Experience working on complex distributed, real-time, embedded, robotics, autonomy, aerospace, defense, maritime, automotive, industrial automation, or similar systems, Ability to operate effectively in cross-functional engineering environments", "qualificationsPreferred" : "Experience with embedded Linux, RTOS, device drivers, or hardware communication protocols, Experience with robotics, autonomous systems, UAVs, UGVs, USVs, or maritime platforms, Experience with networking, distributed systems, middleware, or communication frameworks, Experience with cloud infrastructure, backend services, and deployment pipelines, Familiarity with ROS/ROS2 or similar robotics frameworks, Experience integrating software with sensors, controls, or electromechanical systems, Experience supporting field testing and operational deployments, Exposure to defense, aerospace, maritime, or other mission-critical environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. ABOUT THE ROLE We are seeking experienced Systems Software Engineers to develop software that powers autonomous maritime systems. This role sits at the intersection of software, hardware, robotics, and distributed systems, requiring engineers who are comfortable working across the full stack of autonomous vehicle development—from low-level hardware interfaces and embedded systems to backend services, infrastructure, and mission-critical applications. The ideal candidate brings strong software engineering fundamentals and has experience developing systems that interact with real-world hardware, robotics platforms, autonomous systems, or other complex cyber-physical environments. RESPONSIBILITIES - Design, develop, and maintain software for autonomous vehicle systems and supporting infrastructure. - Build reliable, scalable, and maintainable software solutions across embedded, systems, and application layers. - Develop software that interfaces with sensors, actuators, networking equipment, and onboard compute systems. - Collaborate closely with electrical, mechanical, autonomy, perception, and field engineering teams. - Optimize software performance, reliability, observability, and fault tolerance in mission-critical environments. - Design and implement distributed services, communication frameworks, and data pipelines supporting autonomous operations. - Participate in architecture discussions and technical decision-making across software and systems domains. - Support testing, validation, deployment, and troubleshooting of software in both laboratory and field environments. - Contribute to the continuous improvement of engineering processes, tooling, and development practices. REQUIRED QUALIFICATIONS - 5+ years of professional software engineering experience. - Strong proficiency in one or more of: - C++ - Python - Rust - Go - Experience developing software for systems that interact with physical hardware. - Strong understanding of Linux-based development environments. - Experience with software architecture, debugging, testing, and performance optimization. - Experience working on complex distributed, real-time, embedded, robotics, autonomy, aerospace, defense, maritime, automotive, industrial automation, or similar systems. - Ability to operate effectively in cross-functional engineering environments. PREFERRED QUALIFICATIONS - Experience with embedded Linux, RTOS, device drivers, or hardware communication protocols. - Experience with robotics, autonomous systems, UAVs, UGVs, USVs, or maritime platforms. - Experience with networking, distributed systems, middleware, or communication frameworks. - Experience with cloud infrastructure, backend services, and deployment pipelines. - Familiarity with ROS/ROS2 or similar robotics frameworks. - Experience integrating software with sensors, controls, or electromechanical systems. - Experience supporting field testing and operational deployments. - Exposure to defense, aerospace, maritime, or other mission-critical environments. WHAT WE'RE LOOKING FOR Successful candidates may come from a variety of backgrounds, including: - Systems Software Engineering - Robotics Engineering - Autonomous Systems Engineering - Embedded Software Engineering - Platform Engineering - Infrastructure Engineering - Backend Software Engineering - Aerospace or Defense Software Development The common thread is a demonstrated ability to build software that interacts with and enables complex hardware systems in real-world environments. BENEFITS: - Medical Insurance: Comprehensive health insurance plans covering a range of services - Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care - Saronic pays 100% of the premium for employees and 80% for dependents - Time Off: Generous PTO and Holidays - Parental Leave: Paid maternity and paternity leave to support new parents - Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses - Retirement Plan: 401(k) plan - Stock Options: Equity options to give employees a stake in the company’s success - Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage - Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office PHYSICAL DEMANDS - Prolonged periods of sitting at a desk and working on a computer. - Occasional standing and walking within the office. - Manual dexterity to operate a computer keyboard, mouse, and other office equipment. - Visual acuity to read screens, documents, and reports. - Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies. - Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages). If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Systems Software Engineer, Generalist at Saronic Technologies. Skills: Systems Software Engineering, Autonomous systems, Robotics, Embedded systems. Design software for autonomous vehicle systems. Develop software for autonomous vehicle systems", "createdAt" : "2026-06-14T02:14:04.083", "lastUpdated" : "2026-06-15T13:01:11.363", "ingestTimestamp" : "2026-06-14T02:14:04.083", "mongoId" : "6a2ca05574d8ee00a09a1e97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Systems engineering", "Embedded systems", "Robotics", "Autonomy", "Distributed systems", "Real-time systems", "Cyber-physical systems", "Systems Software Engineering", "Autonomous systems", "Systems design", "Performance optimization", "Fault tolerance", "Autonomous vehicle systems", "Maritime operations", "Robotics platforms", "Aerospace", "Defense", "Maritime", "Automotive", "Industrial automation", "Cyber-physical environments", "Hardware communication protocols", "Robotics frameworks", "Cloud infrastructure", "Backend services", "Mission-critical environments", "ROS/ROS2" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 628.2549, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210ec074d8ee00a0af9679", "title" : "Research Scientist/Engineer, Autonomous Security", "company" : "DeepMind", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Scientist/Engineer in Mountain View, United States, adjusted for DeepMind's industry and size." }, "location" : "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "locations" : [ "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[San Francisco, CA, USA, [San Francisco, CA, USA], San Francisco, null, CA, US]" ], "timestamp" : "2026-06-16T10:46:06.009", "fingerprint" : "72a09e1cbfbfad513bb8342fd0c026f9a411bb24fca7702f15689fa2e6ed6571", "source" : "google", "language" : "en", "externalId" : "88672979918955206", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "summaryDescription" : "Research Scientist/Engineer, Autonomous Security at DeepMind", "postedDate" : "2026-06-16T01:50:00.829", "createdAt" : "2026-06-16T01:50:00.829", "lastUpdated" : "2026-06-16T10:46:06.009", "ingestTimestamp" : "2026-06-16T01:50:00.829", "mongoId" : "6a210ec074d8ee00a0af9679", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "_score" : 623.77496, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051f8f292fd229cf09f01", "title" : "Target System Analysis Analyst", "company" : "Accenture Federal Services", "industry" : "Consulting", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Target System Analysis Analyst in Molesworth, United Kingdom, adjusted for the government industry and company size." }, "location" : "Molesworth, England, United Kingdom", "locations" : [ "Molesworth", "England", "United Kingdom" ], "timestamp" : "2026-06-16T10:37:14.761", "fingerprint" : "2f8285d9b515a28a771b06e68ae9bd1093c3ede299d2d0f5430394e63d65a974", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/accenturefederalservices/jobs/4688304006?gh_jid=4688304006", "externalId" : "4688304006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Molesworth", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3704941,-0.4269704" } ], "locationText" : "Molesworth, England, United Kingdom", "rawDescription" : "At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The Work As a Target System Analysis (TSA) Analyst, you will analyze all‑source intelligence and produce advanced, decision‑quality target system assessments in a dynamic theater environment. You’ll integrate intelligence into operational planning and contribute across the Joint Targeting Cycle to enable precise, compliant, and operationally relevant effects. Develop advanced Target System Assessments (TSAs) using all‑source methods; synthesize complex data into clear analytic products and briefings for senior stakeholders. Integrate intelligence with operational planning activities, supporting Joint Intelligence Preparation of the Operational Environment (JIPOE/JIOPE) and target development (basic, intermediate, and advanced). Contribute across the Joint Targeting Cycle, including weaponeering inputs, collateral damage estimation (CDE), target validation, and effects assessment. Apply DIA tradecraft (e.g., Center of Gravity and Critical Factors Analysis) and analytic methodologies; maintain rigorous analytic design and documentation standards. Use mission systems and collaboration platforms (e.g., RMT, CHROME, Cedalion, Warpath, MARS, MIDB) to research, fuse, and share intelligence. Coordinate with COCOM J2 targeting cells and joint/coalition partners; ensure alignment with Combatant Command (COCOM) structures, directives, and processes. Produce high‑quality analytical writing, visualizations, and briefings that translate complex findings into actionable insights for operators and planners. Here's What You Need Joint Targeting Fundamentals (JTF) certification is required Knowledge and/or familiarization with the below publications JP 5‑0 (Joint Planning); JP 2‑0 (Joint Intelligence) Target System Analysis (TSA) Working Group document CJCS 3162.01 (Irregular Warfare) Headquarters Joint Operations Center (JOC) J2T Handbook Defense Intelligence Reference Documents (DIRD): Analytic Methodologies; Analytic Design DIA Tradecraft: Center of Gravity & Critical Factors Analysis Joint Staff Director of Intelligence — Joint Guide for JIOPE/JIPOE General familiarity with COCOM‑specific directives and operational frameworks Prior service in a COCOM J2 targeting cell with 3+ years of relevant TSA experience preferred Proficiency with intelligence analysis tools (e.g., RMT, CHROME, Cedalion, Warpath, MARS, MIDB) and collaboration platforms. Eligibility Requirements US Citizen Active TS/SCI clearance Ability to work onsite in Molesworth, UK As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $78,600—$160,200 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.", "summaryDescription" : "Target System Analysis Analyst at Accenture Federal Services", "postedDate" : "2026-06-15T23:19:16.338", "createdAt" : "2026-06-15T23:19:16.338", "lastUpdated" : "2026-06-16T10:37:14.761", "ingestTimestamp" : "2026-06-15T23:19:16.338", "mongoId" : "6a3051f8f292fd229cf09f01", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 619.9092, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677a8c", "title" : "Senior Consultant for Topic NERD", "industry" : "Technology", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Consultant in Technology in Bangalore, India, adjusted for seniority and full-time employment." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-16T02:28:44.304", "fingerprint" : "15a64dfd1fa29b6ba1d75ff117502a66dc7b5b752c21477540cf48c6df77e2d5", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881204", "externalId" : "881204", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, J2EE, GO, Python, SpringBoot, Gin, Mockito, Junit, PostgreSQL, MySQL, MongoDB, Microsoft Azure, AWS, Microservices architecture, Service Discovery, Fault tolerance mechanism, Kubernetes, Docker, Kafka, Rabbit MQ, Redis, Terraform, Helm, OpenApi Standard, OAuth, Maven, Apache Tomcat, Jboss, Jenkins, Cloud Technology, Groovy, Shell, ELK, PKI", "professionalSkills" : [ "Object oriented analysis", "Design patterns", "API management", "SDLC Life Cycle", "Application Architecture", "Middleware Concepts", "Code Quality" ], "hardSkillsList" : [ "Micro services design", "Micro service development", "Low-latency APIs", "Web services", "API development", "Unit test cases", "Mocking framework", "CI/CD scripts", "Containers", "Cloud deployment", "Container orchestration", "Web services", "API design", "API security" ], "hardSkills" : [ { "name" : "Micro services design", "level" : "intermediate" }, { "name" : "Micro service development", "level" : "intermediate" }, { "name" : "Low-latency APIs", "level" : "intermediate" }, { "name" : "Web services", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Unit test cases", "level" : "intermediate" }, { "name" : "Mocking framework", "level" : "intermediate" }, { "name" : "CI/CD scripts", "level" : "intermediate" }, { "name" : "Containers", "level" : "intermediate" }, { "name" : "Cloud deployment", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Web services", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "API security", "level" : "intermediate" } ], "majorSkills" : "Microservices, API development, Cloud deployment, Java", "majorSkillsList" : [ "Microservices", "API development", "Cloud deployment", "Java" ], "coreResponsibilities" : "Design efficient Micro services, Develop efficient Micro services, Develop high-volume APIs, Develop low-latency APIs, Develop mission-critical systems, Deliver high-availability web services, Deliver performance-centric web services, Develop public API for Automotive domain, Write unit test cases, Design CI/CD scripts, Build CI/CD scripts, Package using containers, Perform cloud deployment, Perform cloud hosting, Implement java based web services, Develop APIs, Analyze object oriented design, Design object oriented systems, Use common design patterns, Manage APIs, Prioritize tasks, Multi-task to meet deadlines, Resolve technical issues, Debug technical issues, Research technical issues, Investigate technical issues, Understand client needs, Take responsibility for tasks, Find solutions with minimum assistance, Understand existing technical solutions, Understand implementation of solutions, Contribute in development lifecycle, Write well designed code, Write testable code, Write server side code, Ensure designs comply with specifications, Prepare software releases, Produce software releases, Support continuous improvement, Investigate alternatives, Investigate technologies, Present alternatives for review, Present technologies for review", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Automotive domain; after sales process; Microservices architecture; Service Discovery; fault tolerance mechanism; Message processing; caching mechanism; API design; API security", "domainList" : [ "automotive-domain", "after-sales-process", "microservices-architecture", "service-discovery", "fault-tolerance-mechanism", "message-processing", "caching-mechanism", "api-design", "api-security" ], "domainSpecificKnowledge" : [ "Automotive domain", "after sales process", "Microservices architecture", "Service Discovery", "fault tolerance mechanism", "Message processing", "caching mechanism", "API design", "API security" ], "toolProficiency" : [ "Mockito", "Junit", "Kubernetes", "Docker", "Kafka", "Rabbit MQ", "Redis", "Terraform", "Helm", "Maven", "Apache Tomcat", "Jboss", "Jenkins", "App Dynamics", "Datadog" ], "communicationSkills" : "Good communication skills", "problemSolvingSkills" : "Resolves technical issues; Debugging; Research; Investigation", "qualificationsBasic" : "Java/J2EE(Java8 and above), GO, Python, SpringBoot, Gin, Mockito, Junit, PostgreSQL, MySQL, MongoDB, Microsoft Azure or AWS, Kubernetes, Docker, Kafka, Rabbit MQ, Redis, Terraform, Helm, OpenApi Standard 3. x, OAuth 1. 0/2. 0, Maven, Apache Tomcat/Jboss, Jenkins, Deployment & Hosting of Web services on cloud (Kubernetes), End-to-end implementation of java based web services or API development in last two years", "qualificationsPreferred" : "Application monitoring tools: App Dynamics, Datadog, Scripting: Groovy and Shell, ELK, Public Key Interface (PKI), Automotive domain knowledge in after sales process", "remoteFriendly" : false, "rawDescription" : "Responsibilities Expertise in design and development of efficient Micro services. Micro service development responsibilities include developing high-volume, low-latency APIs for mission-critical systems and delivering high-availability and performance-centric web services. Develop public API for Automotive domain based on after sales process. Write unit test cases using mocking framework for API and services. Design and build continuous integration and continuous delivery scripts using open sources platform. Packaging using containers, cloud deployment and cloud hosting using popular container orchestration framework. Should have experience end-to-end implementation of java based web services or API development in last two years. Development experiences using spring boot framework. Proficient with APIs and service oriented architectures Object oriented analysis and design using common design patterns Should have hands on experience in API management software. Ability to prioritize and multi-task in order to meet deadlines Resolves technical issues through debugging, research and investigation Able to understand client needs. Takes responsibility of the tasks assigned and can find solutions with minimum assistance Good understanding of the existing technical solutions and their implementation Contribute in all phases of the development lifecycle Write well designed, testable, server side code Ensure designs are in compliance with specifications Prepare and produce releases of software components Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review Technical Skill Expertise in following Technical areas is MUST. Programming languages: Java/J2EE(Java8 and above), GO, Python Frameworks: SpringBoot, Gin, Mockito, Junit. Database like PostgreSQL, MySQL, MongoDB Public cloud: Microsoft Azure or AWS Microservices architecture : Service Discovery and fault tolerance mechanism Container Orchestration: Kubernetes, Docker Message processing and caching mechanism: Kafka, Rabbit MQ, Redis Terraform and Helm Expertise on API design using OpenApi Standard 3.x API security: OAuth 1.0/2.0Build tools and serves: Maven, Apache Tomcat/Jboss, Jenkins Cloud Technology: Deployment & Hosting of Web services on cloud (Kubernetes) Expertise in following areas is good to have. Application monitoring tools: App Dynamics, Datadog Scripting: Groovy and Shell ELK and Public Key Interface (PKI) Other Skill In-depth understanding of SDLC life Cycle Converting business requirements in business documents Knowhow of Application Architecture and Middleware Concepts Code Quality and other quality framework. Good communication skills        Automotive domain knowledge in after sales process is and added advantage. Bachelor’s Degree / Master’s Degree in Information technology or Engineering Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Senior Consultant for Topic NERD. Skills: Microservices, API development, Cloud deployment, Java. Design efficient Micro services. Develop efficient Micro services", "createdAt" : "2026-06-14T20:48:48.606", "lastUpdated" : "2026-06-16T02:28:44.304", "ingestTimestamp" : "2026-06-14T20:48:48.606", "mongoId" : "69ce5e3b9bc74574cb677a8c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Micro services design", "Micro service development", "Low-latency APIs", "Web services", "API development", "Unit test cases", "Mocking framework", "CI/CD scripts", "Containers", "Cloud deployment", "Container orchestration", "API design", "API security", "Microservices", "Java", "Object oriented analysis", "Design patterns", "API management", "SDLC Life Cycle", "Application Architecture", "Middleware Concepts", "Code Quality", "Automotive domain", "after sales process", "Microservices architecture", "Service Discovery", "fault tolerance mechanism", "Message processing", "caching mechanism", "Mockito", "Junit", "Kubernetes", "Docker", "Kafka", "Rabbit MQ", "Redis", "Terraform", "Helm", "Maven", "Apache Tomcat", "Jboss", "Jenkins", "App Dynamics", "Datadog" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 618.3146, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309199f292fd229c0bf691", "title" : "PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform", "company" : "Griffith University", "industry" : "Higher Education", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for PhD scholarships in Australia, adjusted for entry-level seniority and the education industry." }, "location" : "Southport, QLD, Australia", "locations" : [ "Southport", "QLD", "Australia" ], "timestamp" : "2026-06-16T15:14:27.177", "fingerprint" : "9ab39ec1fb0572b8ae0bd339253d4f6a3a2d2f525eb684512958219ddf0433fd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GriffithUniversity/744000132293369-phd-scholarship-building-deep-debate-evidence-systems-for-youth-crime-policy-reform", "externalId" : "744000132293369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Southport", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.9687807,153.4066696" } ], "locationText" : "Southport, Queensland, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceLevel" : "not-applicable", "technicalSkills" : "AI, Machine learning, LLM, Agentic AI", "professionalSkills" : [ "Research background", "Analytical skills", "Programming skills", "Critical engagement" ], "hardSkillsList" : [ "Agentic AI systems", "Machine learning", "Autonomous systems evaluation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Agentic AI systems", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Autonomous systems evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, Machine learning, Autonomous systems", "majorSkillsList" : [ "Agentic AI", "Machine learning", "Autonomous systems" ], "coreResponsibilities" : "Research design of AI systems, Evaluate AI systems, Deploy AI systems, Develop methods for autonomous agents, Build multi-agent architectures, Design evaluation frameworks for agent behaviour, Validate methods on practical tasks, Prepare data, Retrieve data, Support decision making", "teamCollaboration" : "Collaboration with supervisory team; Collaboration with researchers; Collaboration with academic partners; Collaboration with industry partners", "domainKnowledge" : "Youth crime policy; Agentic AI; Responsible AI; Large-scale data; Meta-learning; Recommender systems; Distribution shift; Uncertainty", "domainList" : [ "youth-crime-policy", "agentic-ai", "responsible-ai", "large-scale-data", "meta-learning", "recommender-systems", "distribution-shift", "uncertainty" ], "domainSpecificKnowledge" : [ "Youth crime policy", "Agentic AI", "Responsible AI", "Large-scale data", "Meta-learning", "Recommender systems", "Distribution shift", "Uncertainty" ], "communicationSkills" : "Written communication; Presentations", "continuousLearning" : "Professional development; Personal development", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Reasoning; Adaptation; Decision making", "qualificationsBasic" : "Analytical skills, Programming skills, Work independently, Work as part of a research team, Communicate research findings clearly, Engage critically with literature, Bachelor degree with first-class honours, Second-class honours (Division A), Masters degree with research component, Record of research, Qualification deemed comparable to Bachelor degree", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The research will be undertaken within the School of Information and Communication Technology (ICT) at Griffith University, in the Responsible Big Data Lab, which focuses on agentic AI, meta-learning, recommender systems, and the responsible use of large-scale data. This opportunity will be primarily based at Gold Coast. As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. We are currently looking for a PhD candidate to research the design, evaluation, and deployment of trustworthy agentic AI systems. The primary focus of this role is to develop new methods that allow autonomous, LLM-driven agents to reason, adapt, and make reliable decisions under real-world distribution shift and uncertainty. This project includes building multi-agent architectures, designing rigorous evaluation frameworks for agent behaviour, and validating these methods on practical tasks such as data preparation, retrieval, and decision support. Success in this role requires collaboration with the supervisory team and other researchers in the Responsible Big Data Lab, as well as academic and industry partners associated with the project. ## Qualifications The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful within this role, you will be able to demonstrate strong analytical and programming skills, work independently and as part of a research team, communicate research findings clearly in writing and in presentations, and engage critically with current literature in machine learning and AI. You will have evidence of a passion for artificial intelligence and its responsible, real-world application, with a strong desire to undertake research in agentic AI systems, machine learning, and the evaluation of intelligent autonomous systems. * Expressions of interest are welcome from domestic and international applicants. * Applicants must have completed, or expect to complete, a Bachelor degree with first-class honours or second-class honours (Division A) or a Masters degree, incorporating a significant research component, from a recognised institution; or * A record of research, or a qualification granted by a professional or other body deemed by the Dean, Griffith Graduate Research School, to be of a standard comparable to a Bachelor degree with second-class honours (Division A). For further information on the eligibility requirements for the program refer International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. See . ## Additional Information About the scholarship The 2026 Griffith University Postgraduate Research Scholarship has an annual stipend of $35,656 (indexed) for a period of up to three years of full-time study. Please see the [GUPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guprs) for more information. A successful International applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years full time study. Please see the [GUIPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guiprs) for more information. What Griffith offers As a scholarship holder, you will study with a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). EOI Process Please do not select the “APPLY” button. All expressions of interest must be submitted to Dr. Thanh Tam Nguyen [t.nguyen19@griffith.edu.au](mailto:t.nguyen19@griffith.edu.au) containing: * Statement addressing your suitability for the project/scholarship * Evidence that you have completed a program with the required grades as detailed in the about you section * A curriculum vitae (CV) * Names of two referees Closing date for expressions of interest is: Sunday 5 July 2026 11.59pm AEST The preferred applicant will then be invited to apply for the program and scholarship on-line. For project related enquiries please contact: Dr. Thanh Tam Nguyen Phone: (07) 5552 8738 Email: [t.nguyen19@griffith.edu.au](mailto:t.nguyen19@griffith.edu.au) For administration enquiries please contact: Griffith Graduate Research School Phone: (07) 3735 3817 Email: [hdr-scholarship@griffith.edu.au](mailto:hdr-scholarship@griffith.edu.au)", "summaryDescription" : "PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform at Griffith University. Skills: Agentic AI, Machine learning, Autonomous systems. Research design of AI systems. Evaluate AI systems", "postedDate" : "2026-06-15T22:30:40.000", "createdAt" : "2026-06-16T03:38:21.022", "lastUpdated" : "2026-06-16T15:14:27.177", "ingestTimestamp" : "2026-06-16T03:38:21.022", "mongoId" : "6a309199f292fd229c0bf691", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Agentic AI systems", "Machine learning", "Autonomous systems evaluation", "Leadership", "Agentic AI", "Autonomous systems", "Research background", "Analytical skills", "Programming skills", "Critical engagement", "Youth crime policy", "Responsible AI", "Large-scale data", "Meta-learning", "Recommender systems", "Distribution shift", "Uncertainty" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 618.15924, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3080f9f292fd229c068596", "title" : "PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform", "company" : "Griffith University", "industry" : "Higher Education", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a PhD scholarship in Australia, adjusted for entry-level seniority and the education industry." }, "location" : "Southport, QLD, Australia", "locations" : [ "Southport", "QLD", "Australia" ], "timestamp" : "2026-06-16T11:28:05.175", "fingerprint" : "af61c7006958c06bc975b0042840096e4ef7cbcc5fefb09a35812069ce255d8c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GriffithUniversity/744000132293369-phd-scholarship-building-deep-debate-evidence-systems-for-youth-crime-policy-reform", "externalId" : "744000132293369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Southport", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.9687807,153.4066696" } ], "locationText" : "Southport, Queensland, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceLevel" : "not-applicable", "technicalSkills" : "AI, Machine learning, LLM, Agentic AI", "professionalSkills" : [ "Research background", "Analytical skills", "Programming skills", "Critical engagement" ], "hardSkillsList" : [ "Agentic AI systems", "Machine learning", "Autonomous systems evaluation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Agentic AI systems", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Autonomous systems evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, Machine Learning, Autonomous Systems", "majorSkillsList" : [ "Agentic AI", "Machine Learning", "Autonomous Systems" ], "coreResponsibilities" : "Research design of AI systems, Evaluate AI systems, Deploy AI systems, Develop methods for autonomous agents, Reasoning under uncertainty, Adapt under uncertainty, Make reliable decisions, Build multi-agent architectures, Design evaluation frameworks, Validate methods, Prepare data, Retrieve data, Support decisions", "teamCollaboration" : "Supervisory team; Responsible Big Data Lab; Academic partners; Industry partners", "domainKnowledge" : "Youth crime policy; Agentic AI; Meta-learning; Recommender systems; Responsible data use; Distribution shift; Real-world uncertainty", "domainList" : [ "youth-crime-policy", "agentic-ai", "meta-learning", "recommender-systems", "responsible-data-use", "distribution-shift", "real-world-uncertainty" ], "domainSpecificKnowledge" : [ "Youth crime policy", "Agentic AI", "Meta-learning", "Recommender systems", "Responsible data use", "Distribution shift", "Real-world uncertainty" ], "communicationSkills" : "Writing; Presentations", "continuousLearning" : "Professional development; Personal development", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Reasoning; Decision making", "qualificationsBasic" : "Analytical skills, Programming skills, Work independently, Work as part of a research team, Communicate research findings clearly, Engage critically with literature, Bachelor degree with first-class honours, Second-class honours (Division A), Masters degree with research component, Record of research, Qualification deemed comparable to Bachelor degree", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The research will be undertaken within the School of Information and Communication Technology (ICT) at Griffith University, in the Responsible Big Data Lab, which focuses on agentic AI, meta-learning, recommender systems, and the responsible use of large-scale data. This opportunity will be primarily based at Gold Coast. As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. We are currently looking for a PhD candidate to research the design, evaluation, and deployment of trustworthy agentic AI systems. The primary focus of this role is to develop new methods that allow autonomous, LLM-driven agents to reason, adapt, and make reliable decisions under real-world distribution shift and uncertainty. This project includes building multi-agent architectures, designing rigorous evaluation frameworks for agent behaviour, and validating these methods on practical tasks such as data preparation, retrieval, and decision support. Success in this role requires collaboration with the supervisory team and other researchers in the Responsible Big Data Lab, as well as academic and industry partners associated with the project. ## Qualifications The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful within this role, you will be able to demonstrate strong analytical and programming skills, work independently and as part of a research team, communicate research findings clearly in writing and in presentations, and engage critically with current literature in machine learning and AI. You will have evidence of a passion for artificial intelligence and its responsible, real-world application, with a strong desire to undertake research in agentic AI systems, machine learning, and the evaluation of intelligent autonomous systems. * Expressions of interest are welcome from domestic and international applicants. * Applicants must have completed, or expect to complete, a Bachelor degree with first-class honours or second-class honours (Division A) or a Masters degree, incorporating a significant research component, from a recognised institution; or * A record of research, or a qualification granted by a professional or other body deemed by the Dean, Griffith Graduate Research School, to be of a standard comparable to a Bachelor degree with second-class honours (Division A). For further information on the eligibility requirements for the program refer International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. See . ## Additional Information About the scholarship The 2026 Griffith University Postgraduate Research Scholarship has an annual stipend of $35,656 (indexed) for a period of up to three years of full-time study. Please see the [GUPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guprs) for more information. A successful International applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years full time study. Please see the [GUIPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guiprs) for more information. What Griffith offers As a scholarship holder, you will study with a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). EOI Process Please do not select the “APPLY” button. All expressions of interest must be submitted to Dr. Thanh Tam Nguyen [t.nguyen19@griffith.edu.au](mailto:t.nguyen19@griffith.edu.au) containing: * Statement addressing your suitability for the project/scholarship * Evidence that you have completed a program with the required grades as detailed in the about you section * A curriculum vitae (CV) * Names of two referees Closing date for expressions of interest is: Sunday 5 July 2026 11.59pm AEST The preferred applicant will then be invited to apply for the program and scholarship on-line. For project related enquiries please contact: Dr. Thanh Tam Nguyen Phone: (07) 5552 8738 Email: [t.nguyen19@griffith.edu.au](mailto:t.nguyen19@griffith.edu.au) For administration enquiries please contact: Griffith Graduate Research School Phone: (07) 3735 3817 Email: [hdr-scholarship@griffith.edu.au](mailto:hdr-scholarship@griffith.edu.au)", "summaryDescription" : "PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform at Griffith University. Skills: Agentic AI, Machine Learning, Autonomous Systems. Research design of AI systems. Evaluate AI systems", "postedDate" : "2026-06-15T22:30:40.000", "createdAt" : "2026-06-16T01:33:41.530", "lastUpdated" : "2026-06-16T11:28:05.175", "ingestTimestamp" : "2026-06-16T01:33:41.530", "mongoId" : "6a3080f9f292fd229c068596", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Agentic AI systems", "Machine learning", "Autonomous systems evaluation", "Leadership", "Agentic AI", "Machine Learning", "Autonomous Systems", "Research background", "Analytical skills", "Programming skills", "Critical engagement", "Youth crime policy", "Meta-learning", "Recommender systems", "Responsible data use", "Distribution shift", "Real-world uncertainty" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 618.15924, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5d2a9bc74574cb662000", "title" : "Speakers on Global Talent Acquisition Topics", "company" : "Talentuch", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level speakers in the US technology industry, adjusted for remote work and full-time employment." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T08:03:14.673", "fingerprint" : "cbc0ceb88f11a9ce6bca3c6657456eecb94a68be71563f33c46188003fd76958", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://talentuch.breezy.hr/p/0774ba66c269-speakers-on-global-talent-acquisition-topics", "externalId" : "0774ba66c269", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "majorSkills" : "Talent Acquisition, Recruitment, HR", "majorSkillsList" : [ "Talent Acquisition", "Recruitment", "HR" ], "coreResponsibilities" : "Share knowledge and experience, Facilitate discussions with practitioners", "qualificationsBasic" : "Share knowledge in Talent Acquisition, Share knowledge in Recruitment, Share knowledge in HR, Facilitate discussions with practitioners", "remoteFriendly" : true, "rawDescription" : "Call for Speakers and Industry Experts for Global Recruitment and HR Webinars Talentuch Webinars We invite Speakers to our upcoming educational webinars! Join us to: Share your knowledge and experience in the area of Talent Acquisition, Recruitment and HR.Facilitate discussions with practitioners i", "summaryDescription" : "Speakers on Global Talent Acquisition Topics at Talentuch. Skills: Talent Acquisition, Recruitment, HR. Share knowledge and experience. Facilitate discussions with practitioners", "createdAt" : "2026-06-14T03:11:37.480", "lastUpdated" : "2026-06-15T08:03:14.673", "ingestTimestamp" : "2026-06-14T03:11:37.480", "mongoId" : "69ce5d2a9bc74574cb662000", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Talent Acquisition", "Recruitment", "HR" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 614.02563, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "68b706987fc9a711f0f6fc13", "title" : "Sr. Applied Scientist, Special Projects", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, no business category", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T06:25:22.221", "fingerprint" : "b947a830f10beac3721a555a0a96f2ac8dfcb3c52c1c6bed7588f10265633cf7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052851/apply", "externalId" : "1f74ae8f-eedb-4048-b7b4-9b4ecf3cac7e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, C++, Machine Learning, Deep Learning, Data Mining, NLP, Large Language Models, AWS", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Large-scale systems", "Distributed systems", "Machine learning", "Deep learning", "Data mining", "Natural language processing" ], "hardSkills" : [ { "name" : "Large-scale systems", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Deep Learning, Large Language Models", "majorSkillsList" : [ "Machine Learning", "Deep Learning", "Large Language Models" ], "coreResponsibilities" : "Design, develop, and deploy machine learning models, Build and maintain large-scale distributed systems, Conduct research and development in AI/ML, Collaborate with cross-functional teams, Stay up-to-date with the latest advancements in AI/ML", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Large-scale distributed systems; Machine learning; Deep learning; Natural language processing; Large language models", "domainList" : [ "large-scale-distributed-systems", "machine-learning", "deep-learning", "natural-language-processing", "large-language-models" ], "domainSpecificKnowledge" : [ "Large-scale distributed systems", "Machine learning", "Deep learning", "Natural language processing", "Large language models" ], "innovationCreativity" : "Research and development", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "6+ years of experience in software development, Master's degree or PhD in Computer Science, Engineering, or related field, Experience with large-scale distributed systems, Experience with machine learning, deep learning, or data mining", "qualificationsPreferred" : "Experience with AWS services, Experience with large language models, Experience with natural language processing", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. Key job responsibilities - Lead and execute complex, ambiguous research projects from ideation to production deployment - Drive technical strategy and roadmap decisions for ML/AI initiatives - Collaborate cross-functionally with product, engineering, and business teams to translate research into scalable products - Publish research findings at top-tier conferences and contribute to the broader scientific community - Establish best practices for ML experimentation, evaluation, and deployment Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Demonstrated work on innovative R&D projects, particularly in early-stage development with measurable business impact - Hands-on experience with both Foundation Models/LLMs and traditional ML approaches - ML-Ops and scaled deployment experience in production environments Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Publications at top-tier peer-reviewed conferences or journals, or equivalent patents - Experience with autonomous AI frameworks (e.g. Dreamer, PlaNet, JEPA, NVIDIA Cosmos) - Knowledge of decentralized optimization methods (e.g. swarm intelligence) Familiarity with advanced optimization and control methods (multi-objective optimization, constrained optimization, discrete optimization, model-based optimization, stochastic optimization, distributed control). - Experience developing and maintaining digital twins - Experience with multiscale geospatial modeling and forecasting - Experience leading cross-functional initiatives and influencing technical direction - Track record of translating research into production systems at scale 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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" : "Sr. Applied Scientist, Special Projects at Amazon.com Services LLC. Skills: Machine Learning, Deep Learning, Large Language Models. Design, develop, and deploy machine learning models. 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International colleagues", "domainKnowledge" : "Autonomous driving; Urban navigation; Neural network architectures; Generative models; End-to-end driving systems; Foundation Models; Generative AI; LLM; VLM; VLAM", "domainList" : [ "autonomous-driving", "urban-navigation", "neural-network-architectures", "generative-models", "end-to-end-driving-systems", "foundation-models", "generative-ai", "llm", "vlm", "vlam" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Urban navigation", "Neural network architectures", "Generative models", "End-to-end driving systems", "Foundation Models", "Generative AI", "LLM", "VLM", "VLAM" ], "toolProficiency" : [ "Pytorch", "Docker" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Literature research", "innovationCreativity" : "Novel neural network architectures; Pioneering methods; Innovative approaches", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "6-12 months duration", "outcomesObjectives" : "Enhance safety; Enhance reliability; Improve performance; Improve adaptability; Navigate complex scenarios", "qualificationsBasic" : "Master’s degree in quantitative field, Working student position, English and/or German fluency, Object-oriented programming skills, Linux familiarity, Convolutional Neural Networks understanding, Vision Transformers understanding, Diffusion Networks understanding, Communication skills in remote environment, Ability to think ahead, Independence", "qualificationsPreferred" : "Deep learning frameworks familiarity, Computer Vision familiarity, Foundation Models familiarity, Generative AI familiarity, LLM / VLM/VLAM experience, Docker experience, German language proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Are you passionate about robots taking over the world? Then look no further! We are constantly looking for highly motivated students to join our autonomous car research team in Stuttgart, Germany in the following area: Navigating urban areas presents unique challenges for autonomous vehicles, requiring sophisticated algorithms and custom-generated data to ensure safety and reliability. Within the publicly funded projects STADT:up (stadtup-online.de) and nxtAIM (nxtaim.de), we are dedicated to developing advanced algorithms to address these challenges. Our research focuses on developing novel neural network architectures that enhance the safety and reliability of autonomous vehicles in urban areas. In addition to that, we are pioneering methods to generate new data, which is vital for training and optimizing our models. These innovative approaches aim to improve the performance and adaptability of autonomous driving systems, enabling them to navigate complex urban scenarios safely and efficiently. You can look forward to working with a diverse team of international colleagues and enjoying good coffee as well as the occasional cake (we love it when you bring one to share!). The tasks of the working student will include: Prepare large-scale automated driving datasets for training and evaluation purposes. Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems. Conduct literature research to familiarize yourself with the latest advancements in autonomous driving and generative models Analyze and evaluate algorithm performance using public and in-house datasets, identifying strengths and areas for improvement Participate in regular meetings to discuss project progress, share insights, and support collaborative problem-solving The activity can begin from Mai 2026. Minimum Skills Required: Pursuing a Master’s degree in a highly quantitative field such as Computer Science, Physics, Mathematics, Electrical Engineering or adjacent fields Looking for a working student position Fluency in English and/or German Strong programming skills in an object-oriented programming language such as Python/ C++ Familiarity with Linux Understanding of Convolutional Neural Networks/Vision Transformers/Diffusion Networks Strong communication skills in a partially remote work environment Ability to think ahead / Independence Nice to haves but not required: Familiarity with deep learning frameworks such as Pytorch Familiarity with Computer Vision, Foundation Models, Generative AI Familiarity with LLM / VLM/VLAM Experience with Docker German language Additional information: The position is based at our research lab in Sindelfingen (partial remote work possible) Ideally candidates are available for a duration of 6-12 months We only consider applications that are attached by at least a curriculum vitae, a motivation letter as well as a recent transcript of records For further information, please feel free to contact us via email We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working Student Autonomous Driving Research at Mercedes-Benz AG. Skills: Autonomous Driving, Neural Networks, Generative Models, Data Generation. Prepare datasets. Contribute to coding framework", "createdAt" : "2026-06-14T01:07:48.547", "lastUpdated" : "2026-06-15T03:31:20.398", "ingestTimestamp" : "2026-06-14T01:07:48.547", "mongoId" : "69ce5e3b9bc74574cb677a05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Automated dataset preparation", "Coding framework development", "Data processing", "Model training", "Validation", "Literature research", "Algorithm analysis", "Performance evaluation", "Motivation", "Independence", "Autonomous Driving", "Neural Networks", "Generative Models", "Data Generation", "Algorithm evaluation", "Problem-solving", "Autonomous driving", "Urban navigation", "Neural network architectures", "Generative models", "End-to-end driving systems", "Foundation Models", "Generative AI", "LLM", "VLM", "VLAM", "Pytorch", "Docker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 613.6027, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8970f0b99d5843fc1e", "title" : "Applied Scientist II, Sponsored Products Autonomous Campaigns", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:18:40.777", "fingerprint" : "d3273a378e1d18904c73649d6a4e1ddc3a638c1d2346b498b85a05516ec73e2d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139270/apply", "externalId" : "05cccbc4-9da9-4552-8915-fb95301b0e42", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, C++, AI, ML, LLMs, RL", "professionalSkills" : [ "Agentic architectures", "Autonomous campaigns", "Advertiser workflows", "Model optimization", "Preference optimization", "Evaluation frameworks", "Agent ecosystem", "Tool orchestration", "Multi-step reasoning", "Adaptive behavior" ], "hardSkillsList" : [ "Statistical analysis", "Reinforcement learning", "Preference optimization", "Instruction tuning", "Fine-tuning" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Preference optimization", "level" : "intermediate" }, { "name" : "Instruction tuning", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Agent-based AI, Autonomous systems", "majorSkillsList" : [ "Applied AI", "Agent-based AI", "Autonomous systems" ], "coreResponsibilities" : "Design agents for autonomous campaigns, Implement model and agent optimization techniques, Curate datasets and tools, Build evaluation pipelines for agent workflows, Develop agentic architectures, Prototype multi-agent orchestration frameworks, Collaborate with peers, Translate research findings into applications", "teamCollaboration" : "Collaborating with scientists; Collaborating with engineers; Collaborating with product managers; Collaborate with peers across engineering; Collaborate with peers across product", "domainKnowledge" : "Advertiser workflows; Agent architectures; Tool integration; Reasoning frameworks; Model customization", "domainList" : [ "advertiser-workflows", "agent-architectures", "tool-integration", "reasoning-frameworks", "model-customization" ], "domainSpecificKnowledge" : [ "Advertiser workflows", "Agent architectures", "Tool integration", "Reasoning frameworks", "Model customization" ], "continuousLearning" : "Stay current with research", "innovationCreativity" : "Pioneer next generation; Innovative solutions", "problemSolvingSkills" : "Ambiguous technical problems", "outcomesObjectives" : "Deliver customer-facing products; Help advertisers create campaigns; Help advertisers optimize campaigns; Help advertisers grow campaigns", "qualificationsBasic" : "Master's degree and 4+ years of CS, CE, ML or related field experience, 3+ years of building models for business application experience, Experience programming in Java, C++, Python or related language, Experience in designing experiments and statistical analysis of results, Experience with AI/ML technologies", "qualificationsPreferred" : "PhD preferred, Experience in state-of-the-art deep learning models architecture design, Deep learning training and optimization experience, Model pruning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers—delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production. Key job responsibilities - Design and build agents for our autonomous campaigns experience. - Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO). - Curate datasets and tools for MCP. - Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails. - Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning. - Prototype and iterate on multi-agent orchestration frameworks and workflows. - Collaborate with peers across engineering and product to bring scientific innovations into production. - Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Autonomous Campaigns team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon’s retail ecosystem. Our vision is to build a highly personalized, context-aware campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in designing experiments and statistical analysis of results - Experience with AI/ML technologies Preferred Qualifications: - Experience in professional software development - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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" : "Applied Scientist II, Sponsored Products Autonomous Campaigns at Amazon.com Services LLC. Skills: Applied AI, Agent-based AI, Autonomous systems. Design agents for autonomous campaigns. Implement model and agent optimization techniques", "postedDate" : "2026-06-13T08:09:22.289", "createdAt" : "2026-06-13T08:09:22.289", "lastUpdated" : "2026-06-15T02:18:40.777", "ingestTimestamp" : "2026-06-13T08:09:22.289", "mongoId" : "693c2b8970f0b99d5843fc1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139270/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Reinforcement learning", "Preference optimization", "Instruction tuning", "Fine-tuning", "Applied AI", "Agent-based AI", "Autonomous systems", "Agentic architectures", "Autonomous campaigns", "Advertiser workflows", "Model optimization", "Evaluation frameworks", "Agent ecosystem", "Tool orchestration", "Multi-step reasoning", "Adaptive behavior", "Agent architectures", "Tool integration", "Reasoning frameworks", "Model customization" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 612.68, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30735ff292fd229c001a83", "title" : "Special Education Teacher", "company" : "KIPP St. Louis", "industry" : "Education Management", "salary" : { "min" : 50500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "St. Louis, MO, United States", "locations" : [ "St. Louis", "MO", "United States" ], "timestamp" : "2026-06-16T09:41:40.318", "fingerprint" : "d1ff38befac26fba6a0d7a0483c6ac1fa4d2f7a9ac66b8063c1a143c4a0eb8e8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KIPP/744000132222940-special-education-teacher-26-27-school-year-", "externalId" : "744000132222940", "industryFunction" : { }, "structuredLocations" : [ { "city" : "St. Louis", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.6254063,-90.1900090" } ], "locationText" : "St. Louis, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "rawDescription" : "Who we are: KIPP St. Louis is a part of a national network of free, open-enrollment, public charter schools offering a choice to families and children in St. Louis city. As the largest charter school system in the city, we are driven and committed to our mission, vision, and equity statement. Mission: Together with families and communities, we create joyful, academically excellent schools that prepare students with the skills and confidence to pursue the paths they choose—college, career, and beyond—so they can lead fulfilling lives and build a more just world. Vision: Every child grows up free to create the future they want for themselves and their communities. KIPP St. Louis currently educates over 2,000 students.Today, our St. Louis network consists of two middle schools, three elementary schools, and a high school. What makes KIPP St. Louis unique? We believe that our educators are proving what's possible in urban education each and every day, by inspiring students and helping them discover the joy of learning. KIPP schools support our educators to help students achieve academic excellence, building the skills and confidence they need to succeed. Together, we are raising the bar for every student, every day. The Special Education Teacher (K–12) at KIPP St. Louis is a dedicated educator who ensures students with diverse learning needs achieve strong outcomes through individualized, standards-aligned instruction. They design and implement IEPs, differentiate curriculum, and use data to monitor progress and adjust supports to meet student goals. In partnership with general education teachers, service providers, and families, they help create inclusive, supportive learning environments. Ultimately, this role is critical to ensuring all students have access to high-quality instruction and the opportunity to thrive academically and socially. We are looking for Elementary and High School Special Education Teachers. Position type: Full-time, Exempt, 10-Month Reporting & Collaboration * Direct Manager : Principal * Direct Reports : None * Key Collaborators: Assistant Principal, Instructional Coach, Teachers, and Regional Support Inputs: What will I be doing in my day-to-day work? Grade-Level Rigor & Access * Plan and deliver instruction that ensures students with diverse learning needs access grade-level standards through appropriate accommodations and modifications * Develop, implement, and monitor Individualized Education Programs (IEPs) aligned to rigorous academic goals * Design and execute tasks that require analysis, justification, and application, while providing scaffolds that maintain rigor * Anticipate learning gaps and provide targeted interventions to support access and mastery of content What will I be evaluated on? Instruction ensures students with IEPs consistently access grade-level content with appropriate supports. Student work reflects growth toward IEP goals and increased independence with rigorous tasks. Student Engagement * Design lessons where students actively engage in thinking, discussion, reading, writing, and problem-solving with necessary supports * Facilitate inclusive academic discourse using differentiated strategies and language supports * Promote independence, self-advocacy, and meaningful participation in the general education setting Students demonstrate active engagement and increasing independence, using supports to explain, justify, and build on ideas. Culture of Learning * Establish a structured, inclusive classroom environment with clear routines, high expectations, and behavioral supports * Implement systems that maximize instructional time and support focus, persistence, and independence * Build strong relationships with students and families to support academic, behavioral, and social-emotional growth The classroom reflects a safe, structured, and inclusive environment where students take academic risks and persist through challenges. Assessment for Learning * Embed frequent checks for understanding and monitor progress toward IEP and grade-level goals * Analyze data to adjust instruction, provide interventions, and ensure student growth * Provide timely, actionable feedback to support student improvement and goal attainment Instruction is data-driven, with clear progress toward IEP goals and grade-level standards through ongoing monitoring and intervention cycles. Outcomes & Accountability: Professional Practice & Contribution * Progress toward IEP goals and individualized benchmarks * Growth on literacy, math, and standardized assessments (DIBELS, i-Ready, MAP, EOC, etc.) * Demonstrated ability to increase access to Tier 1 instruction and improve outcomes for students with disabilities Student Achievement & Growth * K-2: DIBELS proficiency and growth in early literacy * K-8: i-Ready Reading and Math growth and proficiency * 3-8: Missouri Assessment Program (MAP) performance * 9-12: End-of-Course (EOC) exam results in tested subjects * 9-12: AP exam participation, performance, and pass rates (where applicable) * Demonstrated ability to translate strong Tier 1 instruction into measurable student outcomes What skills should I already bring, i.e., what should I already have a track record around? * Proven ability to support students with diverse learning needs and drive measurable growth * Strong classroom management with inclusive and structured environments * Experience using data to inform instruction and interventions * Ability to collaborate effectively across teams and with families * Strong communication and advocacy skills What should I know a lot about already, i.e., what should I have expertise in? * IEP development, implementation, and compliance * Differentiated instruction, accommodations, and modifications * Progress monitoring and data-driven intervention cycles * Strategies for inclusion and co-teaching models * Classroom systems that support both academic and behavioral success ## Qualifications What you bring to the table: Required * Bachelor’s degree in education or related content area * Minimum of 2+ years of successful classroom teaching experience * K-12 Cross Categorical/ Mid Mod certification * Demonstrated commitment to improving outcomes for historically underserved students * Strong communication, collaboration, and problem-solving skills Preferred * State teaching certification * Experience in a high-performing, data-driven school environment * Track record of driving significant student achievement gains * Experience with standards-aligned curricula and assessment systems * Leadership experience within a grade level, content team, or school initiative ## Additional Information What we bring to the table: KIPP St. Louis is committed to pay equity and to ensuring that we do not unintentionally perpetuate historic wage gaps that persist due to individual negotiations. As a result, salaries are not negotiated. We are transparent about salaries in our job postings so that candidates can make an informed decision before beginning the hiring process. The starting salary for first-year teachers with a bachelor’s degree is $50,500. We are a fast-paced, energetic team and family with passionate people who are leading a movement, and to cultivate their best working environment, we provide the following: * $0 deductible healthcare plan option, including medical, vision, and dental. * Employer-Paid Short-Term Disability. * $50,000 life insurance policy at no cost to the employee. * Retirement plan through PSSRSSL with an employer match up to 14% and an optional 403b as a supplement to our pension program * Public Service student loan forgiveness program qualified employer. * Ongoing professional development. Generous time off: * Paid leave for illness, personal days, bereavement, jury duty, and military-related leave * Paid parental leave for new families * Paid holidays, as well as a one-week Thanksgiving break, a two-week winter break, a week-long spring break * Wellness days provided throughout the year KIPP St. Louis is committed to creating a diverse, equitable and inclusive environment for all our students, families, teachers, staff and community members. As an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.", "summaryDescription" : "Special Education Teacher at KIPP St. Louis", "postedDate" : "2026-06-15T14:58:26.000", "createdAt" : "2026-06-16T01:32:49.133", "lastUpdated" : "2026-06-16T09:41:40.318", "ingestTimestamp" : "2026-06-16T01:32:49.133", "mongoId" : "6a30735ff292fd229c001a83", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 609.4917, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306cb3f292fd229cfd567a", "title" : "Special Education Teacher", "company" : "KIPP St. Louis", "industry" : "Education Management", "salary" : { "min" : 50500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "St. Louis, MO, United States", "locations" : [ "St. Louis", "MO", "United States" ], "timestamp" : "2026-06-16T10:19:02.789", "fingerprint" : "5e1e6b2dccd5deb31a3541076f1777689e84b4f2b136d065ec41c01b54901308", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KIPP/744000132222940-special-education-teacher-26-27-school-year-", "externalId" : "744000132222940", "industryFunction" : { }, "structuredLocations" : [ { "city" : "St. Louis", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.6254063,-90.1900090" } ], "locationText" : "St. Louis, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "rawDescription" : "Who we are: KIPP St. Louis is a part of a national network of free, open-enrollment, public charter schools offering a choice to families and children in St. Louis city. As the largest charter school system in the city, we are driven and committed to our mission, vision, and equity statement. Mission: Together with families and communities, we create joyful, academically excellent schools that prepare students with the skills and confidence to pursue the paths they choose—college, career, and beyond—so they can lead fulfilling lives and build a more just world. Vision: Every child grows up free to create the future they want for themselves and their communities. KIPP St. Louis currently educates over 2,000 students.Today, our St. Louis network consists of two middle schools, three elementary schools, and a high school. What makes KIPP St. Louis unique? We believe that our educators are proving what's possible in urban education each and every day, by inspiring students and helping them discover the joy of learning. KIPP schools support our educators to help students achieve academic excellence, building the skills and confidence they need to succeed. Together, we are raising the bar for every student, every day. The Special Education Teacher (K–12) at KIPP St. Louis is a dedicated educator who ensures students with diverse learning needs achieve strong outcomes through individualized, standards-aligned instruction. They design and implement IEPs, differentiate curriculum, and use data to monitor progress and adjust supports to meet student goals. In partnership with general education teachers, service providers, and families, they help create inclusive, supportive learning environments. Ultimately, this role is critical to ensuring all students have access to high-quality instruction and the opportunity to thrive academically and socially. We are looking for Elementary and High School Special Education Teachers. Position type: Full-time, Exempt, 10-Month Reporting & Collaboration * Direct Manager : Principal * Direct Reports : None * Key Collaborators: Assistant Principal, Instructional Coach, Teachers, and Regional Support Inputs: What will I be doing in my day-to-day work? Grade-Level Rigor & Access * Plan and deliver instruction that ensures students with diverse learning needs access grade-level standards through appropriate accommodations and modifications * Develop, implement, and monitor Individualized Education Programs (IEPs) aligned to rigorous academic goals * Design and execute tasks that require analysis, justification, and application, while providing scaffolds that maintain rigor * Anticipate learning gaps and provide targeted interventions to support access and mastery of content What will I be evaluated on? Instruction ensures students with IEPs consistently access grade-level content with appropriate supports. Student work reflects growth toward IEP goals and increased independence with rigorous tasks. Student Engagement * Design lessons where students actively engage in thinking, discussion, reading, writing, and problem-solving with necessary supports * Facilitate inclusive academic discourse using differentiated strategies and language supports * Promote independence, self-advocacy, and meaningful participation in the general education setting Students demonstrate active engagement and increasing independence, using supports to explain, justify, and build on ideas. Culture of Learning * Establish a structured, inclusive classroom environment with clear routines, high expectations, and behavioral supports * Implement systems that maximize instructional time and support focus, persistence, and independence * Build strong relationships with students and families to support academic, behavioral, and social-emotional growth The classroom reflects a safe, structured, and inclusive environment where students take academic risks and persist through challenges. Assessment for Learning * Embed frequent checks for understanding and monitor progress toward IEP and grade-level goals * Analyze data to adjust instruction, provide interventions, and ensure student growth * Provide timely, actionable feedback to support student improvement and goal attainment Instruction is data-driven, with clear progress toward IEP goals and grade-level standards through ongoing monitoring and intervention cycles. Outcomes & Accountability: Professional Practice & Contribution * Progress toward IEP goals and individualized benchmarks * Growth on literacy, math, and standardized assessments (DIBELS, i-Ready, MAP, EOC, etc.) * Demonstrated ability to increase access to Tier 1 instruction and improve outcomes for students with disabilities Student Achievement & Growth * K-2: DIBELS proficiency and growth in early literacy * K-8: i-Ready Reading and Math growth and proficiency * 3-8: Missouri Assessment Program (MAP) performance * 9-12: End-of-Course (EOC) exam results in tested subjects * 9-12: AP exam participation, performance, and pass rates (where applicable) * Demonstrated ability to translate strong Tier 1 instruction into measurable student outcomes What skills should I already bring, i.e., what should I already have a track record around? * Proven ability to support students with diverse learning needs and drive measurable growth * Strong classroom management with inclusive and structured environments * Experience using data to inform instruction and interventions * Ability to collaborate effectively across teams and with families * Strong communication and advocacy skills What should I know a lot about already, i.e., what should I have expertise in? * IEP development, implementation, and compliance * Differentiated instruction, accommodations, and modifications * Progress monitoring and data-driven intervention cycles * Strategies for inclusion and co-teaching models * Classroom systems that support both academic and behavioral success ## Qualifications What you bring to the table: Required * Bachelor’s degree in education or related content area * Minimum of 2+ years of successful classroom teaching experience * K-12 Cross Categorical/ Mid Mod certification * Demonstrated commitment to improving outcomes for historically underserved students * Strong communication, collaboration, and problem-solving skills Preferred * State teaching certification * Experience in a high-performing, data-driven school environment * Track record of driving significant student achievement gains * Experience with standards-aligned curricula and assessment systems * Leadership experience within a grade level, content team, or school initiative ## Additional Information What we bring to the table: KIPP St. Louis is committed to pay equity and to ensuring that we do not unintentionally perpetuate historic wage gaps that persist due to individual negotiations. As a result, salaries are not negotiated. We are transparent about salaries in our job postings so that candidates can make an informed decision before beginning the hiring process. The starting salary for first-year teachers with a bachelor’s degree is $50,500. We are a fast-paced, energetic team and family with passionate people who are leading a movement, and to cultivate their best working environment, we provide the following: * $0 deductible healthcare plan option, including medical, vision, and dental. * Employer-Paid Short-Term Disability. * $50,000 life insurance policy at no cost to the employee. * Retirement plan through PSSRSSL with an employer match up to 14% and an optional 403b as a supplement to our pension program * Public Service student loan forgiveness program qualified employer. * Ongoing professional development. Generous time off: * Paid leave for illness, personal days, bereavement, jury duty, and military-related leave * Paid parental leave for new families * Paid holidays, as well as a one-week Thanksgiving break, a two-week winter break, a week-long spring break * Wellness days provided throughout the year KIPP St. Louis is committed to creating a diverse, equitable and inclusive environment for all our students, families, teachers, staff and community members. As an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.", "summaryDescription" : "Special Education Teacher at KIPP St. Louis", "postedDate" : "2026-06-15T14:58:26.000", "createdAt" : "2026-06-16T00:00:44.849", "lastUpdated" : "2026-06-16T10:19:02.789", "ingestTimestamp" : "2026-06-16T00:00:44.849", "mongoId" : "6a306cb3f292fd229cfd567a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 609.4917, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30673cf292fd229cfbac26", "title" : "Special Projects Lead", "company" : "Referrals Only", "industry" : "FinTech", "salary" : { "min" : 106300.0, "max" : 143800.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T11:07:21.936", "fingerprint" : "f6389a0287b23ef1e7a10699bff8cde7ea64245223b9070adc449ff0fd776441", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monzoreferrals/jobs/8007221", "externalId" : "8007221", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Analytical rigour", "Commercial viability", "Execution effectiveness", "Business transformation", "Strategy setting", "Data analysis", "Customer needs analysis", "Market analysis", "Competitive analysis", "Commercial analysis" ], "hardSkillsList" : [ "Quantitative skills", "Problem solving" ], "hardSkills" : [ { "name" : "Quantitative skills", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "majorSkills" : "Strategic projects, Business outcomes, Stakeholder influence", "majorSkillsList" : [ "Strategic projects", "Business outcomes", "Stakeholder influence" ], "coreResponsibilities" : "Lead cross-functional projects, Execute trajectory changing projects, Engage C-suite and senior stakeholders, Build cross-functional influence, Drive strategic decision-making, Unblock high-impact initiatives, Collaborate with senior stakeholders, Collaborate with product teams, Collaborate with marketing teams, Collaborate with operations teams, Collaborate with engineering teams, Problem solve jointly, Deliver initiatives successfully, Identify process optimisation opportunities, Drive efficiency improvements, Enhance project outcomes, Drive problem solving, Conduct research, Gather data, Inform business cases, Inform go/no go decisions, Influence strategy setting, Analyze data, Develop project plans, Track project KPIs, Track success metrics, Ensure timely progress, Ensure measurable results, Scale team impact, Scale team performance, Support talent development, Support staffing strategy", "teamCollaboration" : "Cross-functional projects; Senior stakeholders; Product teams; Marketing teams; Operations teams; Engineering teams", "projectManagementSkills" : [ "Project plans", "KPI tracking", "Success metrics" ], "domainKnowledge" : "Core banking; Borrowing; Wealth management; Business banking; Banking; Finance", "domainList" : [ "core-banking", "borrowing", "wealth-management", "business-banking", "banking", "finance" ], "domainSpecificKnowledge" : [ "Core banking", "Borrowing", "Wealth management", "Business banking", "Banking", "Finance" ], "communicationSkills" : "Persuasive communication; Inspire stakeholders; Influence decisions", "continuousLearning" : "Learning budget; Training courses; Conferences", "problemSolvingSkills" : "Ambiguous business problems; Complex problems; Data-led approach", "outcomesObjectives" : "Deliver trajectory-changing projects; Achieve business outcomes; Drive strategic decision-making; Unblock high-impact initiatives; Deliver initiatives successfully; Optimise processes; Drive efficiencies; Enhance project outcomes; Inform strategy setting; Ensure timely progress; Ensure measurable results", "qualificationsBasic" : "Founder mindset, Urge and resilience to challenge status quo, Excellent stakeholder management, Persuasive communicator, Commercially minded, Thrive in ambiguity, Structured and data-led approach, Understanding and solving complex problems, Data-driven, numerate, logic oriented, Great project and team leader, Humble", "qualificationsPreferred" : "Experience in high growth company, Experience on zero to one projects, Experience on business transformation, Experience on strategy, Experience on international expansion projects", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "\uD83D\uDCCDLondon | \uD83D\uDCB0£106,300 - £143,800 + Incentive Awards tied to your performance + Benefits ✨ This role will be titled internally as Special Projects Lead, and is a part of our Special Projects Team. ⭐Our Special Projects team You will be part of a small and high impact team of commercially minded, strategic, and analytically driven generalists. We shape and deliver trajectory-changing and business outcome focused projects across teams and at the Monzo level for C-Suite, GMs and senior stakeholders in the different parts of our business like Core Banking, Borrowing, Wealth, Business Banking, Operations, etc. To succeed, you should be excited about solving tough, ambiguous business problems with analytical rigour, commercial viability and execution effectiveness. You’ll be working on a wide range of projects, collaborating with partners and colleagues across areas like product, data and marketing; operating in a high pace and ambiguous environment. Examples of projects our team delivers include: seeding new products and business lines, delivering business transformation initiatives, expansion into new geographies, super-charging product growth, M&A, and high-impact partnerships. We'd want you to apply if you are underwhelmed by the status quo of banking and finance today and are interested in bringing your brainpower, commercial and quantitative skills and grit to creating something better. \uD83D\uDD11You’ll play a key role by… Leading and executing trajectory changing, cross-functional projects that align with the company’s strategic goals. Engaging C-suite, GMs and other senior stakeholders to build the cross-functional influence required to drive strategic decision-making or unblock high-impact initiatives across the business. Collaborating with senior stakeholders and teams across product, marketing, operations, and engineering to problem solve jointly and deliver initiatives successfully. Identifying opportunities to optimise processes, drive efficiencies, and enhance project outcomes across Monzo. Driving problem solving, research and data gathering to inform business cases, go/no go decisions and influence strategy setting across the business. Owning analysing data, customer needs, market, competitive insights and commercial analyses to inform strategic decision-making. Developing and tracking project plans, KPIs, and success metrics, ensuring timely progress and measurable results. Scaling team impact and performance by supporting talent development and staffing strategy, whether through direct management or high-impact coaching. \uD83E\uDD29 We’d love to hear from you if… You have a founder mindset and take ownership of your work You have the urge and resilience to challenge the status quo and make things better You're excellent at managing and influencing stakeholders You’re a persuasive communicator who can inspire stakeholders and influence decisions and project outcomes. You're commercially minded and excited to collaborate with external partners and other stakeholders to get the best outcomes for our customers You thrive in ambiguity, ask incisive questions and take a structured and data-led approach to problem-solving Your super power is understanding and solving complex problems, whether it is going deep into data or based on regulation, legal documents, business processes, user needs, or technology You're data-driven, numerate and logic oriented You are a great project and team leader You're humble but excited by what we're doing at Monzo The following would be a bonus: Experience working in a high growth company on zero to one projects and products Experience working on business transformation and strategy Experience working on international expansion projects Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you! \uD83D\uDE4C What’s in it for you \uD83D\uDCB0 £106,300 - £143,800 + Incentive Awards tied to your performance. \uD83C\uDFE1 This role can be based in our London office but we're open to discussing distributed working. ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. \uD83D\uDCDA £1,000 learning budget each year to use on books, training courses and conferences. ➕ Plus lots more! Read our full list of benefits. \uD83C\uDF08 The application journey has 6 key steps Recruiter Call Initial Call with Hiring Manager Take-home Case-Study Assessment. Loop interviews Analytical thinking (Including review discussion of previously submitted case-study) Problem Solving Final Interview, Behavioural This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-TP1", "summaryDescription" : "Special Projects Lead at Referrals Only. Skills: Strategic projects, Business outcomes, Stakeholder influence. Lead cross-functional projects. Execute trajectory changing projects", "postedDate" : "2026-06-15T23:23:31.120", "createdAt" : "2026-06-15T23:23:31.120", "lastUpdated" : "2026-06-16T11:07:21.936", "ingestTimestamp" : "2026-06-15T23:23:31.120", "mongoId" : "6a30673cf292fd229cfbac26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative skills", "Problem solving", "Strategic projects", "Business outcomes", "Stakeholder influence", "Analytical rigour", "Commercial viability", "Execution effectiveness", "Business transformation", "Strategy setting", "Data analysis", "Customer needs analysis", "Market analysis", "Competitive analysis", "Commercial analysis", "Project plans", "KPI tracking", "Success metrics", "Core banking", "Borrowing", "Wealth management", "Business banking", "Banking", "Finance" ], "skillCount" : 24, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 609.1086, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2203e374d8ee00a0d618cc", "title" : "Assistant Director of Special Education - Student Data & Compliance", "industry" : "Education", "salary" : { "min" : 115500.0, "max" : 168500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Director of Special Education in Sugar Land, Texas, adjusted for the education industry and the specific seniority level." }, "location" : "TEXAS-SUGAR LAND-TECHNICAL EDUCATION CENTER", "locations" : [ "TEXAS-SUGAR LAND-TECHNICAL EDUCATION CENTER", "
TECHNICAL EDUCATION CENTER (3)
540 DULLES AVENUE
SUGAR LAND, 77478

" ], "timestamp" : "2026-06-15T08:06:01.215", "fingerprint" : "6001505f84dc5958155437a466b457516848fdc78106e1ca08303ba707c76842", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=192775", "externalId" : "192775", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "hardSkillsList" : [ "Student data systems", "Data reporting", "Data reconciliation", "State reporting", "Federal reporting", "Data analysis", "Compliance monitoring" ], "softSkillsList" : [ "Leadership", "Interpersonal skills" ], "hardSkills" : [ { "name" : "Student data systems", "level" : "intermediate" }, { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "State reporting", "level" : "intermediate" }, { "name" : "Federal reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Compliance monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Special education compliance, Student data management, Compliance systems, Data reporting", "majorSkillsList" : [ "Special education compliance", "Student data management", "Compliance systems", "Data reporting" ], "coreResponsibilities" : "Provide leadership and oversight, Monitor compliance, Lead district systems, Provide professional learning, Develop, revise, and maintain procedures, Assist in preparation for TEA monitoring, Collaborate with legal counsel, Oversee district special education student data systems, Collaborate with PEIMS staff, Monitor and support state and federal reporting, Lead district coordination and submission processes, Analyze compliance and student data trends, Develop dashboards, reports, and monitoring tools, Lead implementation and ongoing oversight, Develop district procedures and monitoring systems, Coordinate training and support, Collaborate with Finance, PEIMS, and special education teams, Monitor implementation fidelity, Supervise and evaluate staff, Provide coaching, training, and professional development, Foster a collaborative culture, Participate in district leadership meetings, Support Executive Director initiatives, Collaborate with campus administrators, Serve as a resource, Communicate effectively, Facilitate and support problem-solving, Recruit, interview, hire staff, Plan, assign, coach, direct work", "teamCollaboration" : "Campus and district leadership; PEIMS staff and district departments; District and campus leadership; Finance, PEIMS, and special education teams; District leadership meetings; Campus administrators, district departments, and special education staff; Department and campus leaders", "domainKnowledge" : "IDEA; Texas Education Code; Texas Education Agency; TEA requirements; ARD/IEP; PEIMS; State performance indicators; Tiered Funding Model", "domainList" : [ "idea", "texas-education-code", "texas-education-agency", "tea-requirements", "ard-iep", "peims", "state-performance-indicators", "tiered-funding-model" ], "domainSpecificKnowledge" : [ "IDEA", "Texas Education Code", "Texas Education Agency", "TEA requirements", "ARD/IEP", "PEIMS", "State performance indicators", "Tiered Funding Model" ], "toolProficiency" : [ "PEIMS" ], "communicationSkills" : "Effective communication", "documentationSkills" : "Guidance documents; Compliance resources", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Work outside up to 25%, Lifting and positioning students, Controlling behavior, Physical restraint strategies, Intervene with student behavior, Exposure to bodily fluids, Childhood illnesses, Prolonged or irregular hours, Emotional control under stress, Occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, Lifting/carrying less than 40 pounds, Use hands to finger, handle, or feel objects, tools, Reach with hands, Talk or hear, Close vision, Color vision, Adjust focus, Attendance at conferences, Normal safety precautions, Work in classrooms, offices, work stations and meeting rooms", "outcomesObjectives" : "Ensure alignment with IDEA, Texas Education Code, TEA requirements, and district policies; Strengthen district systems; Support positive student outcomes; Ensure accuracy, integrity, and compliance; Ensure accurate coding, reporting, and data reconciliation; Support strategic decision-making; Ensure accurate reporting and funding compliance; Support corrective action planning", "qualificationsBasic" : "District-level leadership, Special education compliance systems, Student data processes, Procedural practices, ARD/IEP compliance, PEIMS coordination, State performance indicator submissions, Tiered Funding Model implementation, Supervise Special Education Compliance Team, Adhere to federal, state, and local laws", "qualificationsPreferred" : "Experience with soft office applications, Experience with spreadsheets, Experience with data dashboards, Experience with related technology systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Assistant Director of Special Education - Student Data & Compliance provides district-level leadership and oversight of special education compliance systems, student data processes, and procedural practices to ensure alignment with the Individuals with Disabilities Education Act (IDEA), Texas Education Code, Texas Education Agency (TEA) requirements, and district policies. This position leads the development, implementation, monitoring, and continuous improvement of compliance structures and data systems related to special education services, including ARD/IEP compliance, PEIMS coordination, state performance indicator submissions, and Tiered Funding Model implementation. The Assistant Director collaborates closely with campus and district leadership to promote accurate, timely, and legally sound practices that strengthen district systems and support positive student outcomes. The Assistant Director supervises the Special Education Compliance Team, including ARD Facilitators, Program Managers, and Specialists, and reports directly to the Executive Director of Student Support Services. Position Description Essential Duties and Responsibilities Compliance Leadership & Oversight Provide leadership and oversight for district special education compliance systems and procedures. Monitor compliance with federal, state, and local requirements related to special education services and documentation. Lead district systems related to ARD/IEP compliance, timelines, procedural safeguards, and implementation fidelity. Provide leadership in the design and delivery of identified program-specific professional learning including ongoing job-embedded models. Develop, revise, and maintain district procedures, guidance documents, and compliance resources. Assist in preparation for TEA monitoring activities, audits, complaints, due process hearings, and data submissions. Collaborate with legal counsel and district leadership regarding compliance matters, as needed. Student Data & Reporting Promote a positive, inclusive culture and climate through collaboration and shared decision-making. Oversee district special education student data systems to ensure accuracy, integrity, and compliance. Collaborate with PEIMS staff and district departments to ensure accurate coding, reporting, and data reconciliation. Monitor and support state and federal reporting requirements related to special education. Lead district coordination and submission processes for: SPPI 7, SPPI 8, SPPI 13, and other TEA compliance and performance indicators, as assigned. Analyze compliance and student data trends to identify areas for improvement and support strategic decision-making. Develop dashboards, reports, and monitoring tools for district and campus leadership. Funding Model and PEIMS Oversight Lead implementation and ongoing oversight of the Texas Tiered Funding Model for special education services. Develop district procedures and monitoring systems related to service documentation and funding alignment. Coordinate training and support for campuses and staff regarding Tiered Funding Model requirements. Collaborate with Finance, PEIMS, and special education teams to ensure accurate reporting and funding compliance. Monitor implementation fidelity and support corrective action planning when needed. Leadership & Staff Supervision Supervise and evaluate members of the Special Education Compliance Team, including ARD Facilitators, Program Managers, and Specialists. Provide coaching, training, and professional development to staff and campus leaders regarding compliance and data practices. Foster a collaborative, service-oriented culture focused on continuous improvement and campus support. Participate in district leadership meetings, committees, and strategic planning efforts. Support Executive Director initiatives and departmental goals. Adhere to all federal, state, and local laws. Collaboration & Communication Collaborate with campus administrators, district departments, and special education staff to strengthen systems and practices. Serve as a resource to department and campus leaders regarding special education compliance and procedural requirements. Communicate effectively with staff, families, and stakeholders regarding compliance processes and expectations. Facilitate and support problem-solving related to complex compliance and student support matters. Supervisory Responsibilities Supervise assigned Special Education Compliance Team staff, including ARD Facilitators, Program Managers, and Specialists. Recruit, interview, hire, and provide professional development for Compliance Team staff, including ARD Facilitators, Program Managers, and Specialists. Plan, assign, coach, direct work, and appraise the performance of assigned staff. Address complaints and resolve problems in a timely manner. Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Master's degree in Education or related field. Valid Teaching Certification Issued by Texas Education Agency appropriate to subject and grade level of assignment Valid Texas Mid-Management or Principal Certification Board Approved T-TESS Certification required, or must complete within 90 days of employment. Minimum of 3 years experience supporting or overseeing special education data systems, PEIMS coding, state reporting requirements, monitoring activities, corrective action planning, and district compliance procedures is preferred. Minimum of 3 years experience supervising professional staff, leading cross-departmental initiatives, and collaborating with campus leadership to strengthen systems and practices is preferred. Minimum of 2 years special education leadership and/or campus administration experience overseeing the implementation of services at a program required; campus or district level preferred. Knowledge of federal and state laws, regulations, and procedures related to special education, including IDEA, TEA compliance requirements, PEIMS, and ARD/IEP processes. Knowledge of special education data systems, compliance monitoring practices, and state performance indicators. Ability to analyze complex data, identify trends, and develop systems for continuous improvement and accountability. Strong organizational, problem-solving, and project management skills with the ability to manage multiple priorities and deadlines. Ability to develop, implement, and monitor district-wide procedures and compliance systems. Ability to interpret policies, regulations, and legal requirements and communicate them clearly to staff and stakeholders. Ability to maintain confidentiality and exercise sound professional judgment in sensitive situations. Proficiency with student information systems, Microsoft Office applications, spreadsheets, data dashboards, and related technology systems. Strong collaboration and interpersonal skills with the ability to build effective working relationships across departments and campuses. Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information The employee will be required to work outside up to 25% of the time and will be exposed to the elements and inclement weather. This position requires lifting and positioning students, controlling certain behavior through hands-on intervention strategies and approved physical restraint strategies. Teachers are expected to intervene with students' behavior, which can include aggression, self-injurious behaviors, disruptive behaviors, and self-stimulatory behaviors. The potential exists for exposure to bodily fluids and frequent childhood illnesses. May work prolonged or irregular hours and must be able to maintain emotional control under stress. TEXAS-SUGAR LAND", "summaryDescription" : "Assistant Director of Special Education - Student Data & Compliance. Skills: Special education compliance, Student data management, Compliance systems, Data reporting. Provide leadership and oversight. Monitor compliance", "createdAt" : "2026-06-14T02:14:39.138", "lastUpdated" : "2026-06-15T08:06:01.215", "ingestTimestamp" : "2026-06-14T02:14:39.138", "mongoId" : "6a2203e374d8ee00a0d618cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 168500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Student data systems", "Data reporting", "Data reconciliation", "State reporting", "Federal reporting", "Data analysis", "Compliance monitoring", "Leadership", "Interpersonal skills", "Special education compliance", "Student data management", "Compliance systems", "Talent management", "Employee relations", "HR processes", "Organizational development", "IDEA", "Texas Education Code", "Texas Education Agency", "TEA requirements", "ARD/IEP", "PEIMS", "State performance indicators", "Tiered Funding Model" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 605.4098, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca44674d8ee00a09b1154", "title" : "Autonomous Vehicle Test Operator (CDL-A) 1st Shift (6-Month Temporary)", "company" : "Outrider", "industry" : "Logistics", "salary" : { "min" : 25.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Antonio, Texas, United States", "locations" : [ "San Antonio", "Texas", "United States" ], "certifications" : [ "CDL-A license" ], "timestamp" : "2026-06-15T03:23:03.505", "fingerprint" : "dd8eb088b7d26bc45423a1601f670b0ec5becbbd2f4f6a3ffec6cdb0aaa44d2e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/outrider/jobs/5255728008", "externalId" : "5255728008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Antonio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.4246002,-98.4951405" } ], "locationText" : "San Antonio, Texas, United States", "employmentType" : "TEMPORARY", "technicalSkills" : "Software, Web applications, Hardware", "professionalSkills" : [ "Safety inspections", "Root-cause analysis", "Preventative maintenance" ], "hardSkillsList" : [ "Vehicle operation", "Manual repairs" ], "hardSkills" : [ { "name" : "Vehicle operation", "level" : "intermediate" }, { "name" : "Manual repairs", "level" : "intermediate" } ], "majorSkills" : "Autonomous vehicle operation, Safety critical systems", "majorSkillsList" : [ "Autonomous vehicle operation", "Safety critical systems" ], "coreResponsibilities" : "Safely operate vehicles, Conduct daily inspections, Propose safety improvements, Determine on-spot responses, Provide test reports, Perform preventative maintenance, Assist in root-cause analysis, Perform minor repairs, Communicate issues, Comply with safety rules, Support positive work environment, Perform other tasks", "teamCollaboration" : "Engineering teams; Customer Operations; Technical Operations; Executive team members; Commercial teams; Operations teams; AV Dispatchers; Test Operations Lead", "domainKnowledge" : "Autonomous vehicle system; Automated driving system", "domainList" : [ "autonomous-vehicle-system", "automated-driving-system" ], "domainSpecificKnowledge" : [ "Autonomous vehicle system", "Automated driving system" ], "toolProficiency" : [ "MS Office", "Google Suite" ], "communicationSkills" : "Verbal test reports; Written test reports", "documentationSkills" : "Test reports", "problemSolvingSkills" : "Root-cause analysis", "specialRequirements" : "Up to 20% travel, Ascending and descending trucks, Lifting and transporting supplies, Using hand tools, Cleaning work areas, Standing for extended periods, Walking for extended periods, Bending for extended periods, Twisting for extended periods, Reaching for extended periods", "qualificationsBasic" : "Ability to back trailer, Clean driving record, Flexibility for work shifts, Unwavering focus on safety, Facility with desktop software, Excellent written communication, Excellent verbal communication", "qualificationsPreferred" : "Experience testing reliability, Experience testing durability, Understanding software development lifecycle, Familiarity with IT software, Comfort with Linux, Comfort with command-line interface", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Company Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai The Role THIS IS A TEMPORARY 6-MONTH POSITION TO START, WITH THE POSSIBILITY OF EXTENSION The Autonomous Vehicle Test Operator reports to the Shift Manager and is responsible for safely testing, operating, and monitoring Outrider’s autonomous vehicle system. This role ensures AVs in manual, partial, or full automation are operated safely by identifying risks, intervening when needed, and returning vehicles to a minimum-risk state. Operators closely observe vehicle performance both in-cab and through a software-based monitoring tool. The role requires sharp focus, quick decision-making, and a safety-first mindset. It is essential to advancing Outrider’s automation technology and delivering a safety-critical system for large-scale distribution yards. Available Shifts: Second Shift: Monday - Friday, 4:15PM - 12:45AM Duties and Responsibilities Safely operate vehicles, either in the cab or remotely via a web-based dispatching/monitoring user interface. Be a steward of the safety mindset: conduct daily on-site safety inspections of the trucks, equipment, and area, and proactively propose safety improvements Use keen judgement to determine appropriate on-the-spot responses to vehicle performance and safety issues Provide insightful and thorough verbal and/or written test reports on system performance - including vehicle and system data and/or observations related to automated driving system development - for Engineering, Customer Operations, Technical Operations and Executive team members Perform preventative maintenance checks, and services on autonomous vehicles, including but not limited to, preparation, installation, and maintenance of vehicle hardware Assist commercial, operations, and engineering teams in root-cause analysis of issues found during operation Perform minor repairs under the direction of the engineering staff and/or in accordance with OEM repair instructions Communicate issues and subjective performance to the AV Dispatchers, Test Operations Lead and peers on the Engineering Teams Comply with established safety rules, policies, and procedures, including wearing required safety equipment Demonstrate Outrider's values by supporting a positive and engaging work environment. Perform other tasks as assigned Be flexible around occasional travel to perform fieldwork, depending on customer locations and needs (up to 20%) Required Qualifications Desire and ability to understand Outrider’s autonomous vehicle system and technology through the constant reading of documentation and Q&A with colleagues Ability to back a trailer into a dock spot or parking spot. Clean driving record for the past 5 years Flexibility for day, night, and/or weekend work, as needed (and sometimes on short notice) Unwavering focus on safety and helping to explore and implement system improvements Facility with desktop software and web applications Excellent written and verbal communication skills Contagious energy and positivity in relationships and interactions Ideal Qualifications Experience testing reliability or durability of robotic systems, autonomous vehicles, or other automated distribution yard products Understanding of the software development life cycle, modern software/hardware/system testing methods, and continuous integration Experience working in a highly talented R&D or engineering environment Familiarity and comfort with IT software packages such as MS Office, Google Suite, Linux and command-line interface/CLI CDL-A license Work Environment and Physical Demands This role is primarily based in a warehouse setting with regular exposure to varying environmental conditions such as heat, cold, rain, and snow. This position involves regular exposure to moderate noise levels typical of a warehouse environment, including machinery and vehicle operations. Employees will be working around autonomous trucks and must be comfortable operating in an industrial environment. Physical requirements include: Ascending and descending in and out of trucks Lifting and transporting supplies as needed Using hand tools such as screwdrivers and wrenches Cleaning and maintaining work areas with supplies such as brooms Performing tasks that may require standing, walking, bending, twisting, or reaching for extended periods Compensation & Benefits Hourly Wage: $25.00 - $30 Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor Health Insurance Dental insurance Vision Insurance Parental Leave 401(K) Retirement Flexible Spending Account (FSA) Health Savings Account (HSA) Short-Term Disability Long–Term Disability Life insurance Pet insurance", "summaryDescription" : "Autonomous Vehicle Test Operator (CDL-A) 1st Shift (6-Month Temporary) at Outrider. Skills: Autonomous vehicle operation, Safety critical systems. Safely operate vehicles. Conduct daily inspections", "postedDate" : "2026-06-13T21:37:48.970", "createdAt" : "2026-06-13T21:37:48.970", "lastUpdated" : "2026-06-15T03:23:03.505", "ingestTimestamp" : "2026-06-13T21:37:48.970", "mongoId" : "6a2ca44674d8ee00a09b1154", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 62400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Vehicle operation", "Manual repairs", "Autonomous vehicle operation", "Safety critical systems", "Safety inspections", "Root-cause analysis", "Preventative maintenance", "Autonomous vehicle system", "Automated driving system", "CDL-A license", "MS Office", "Google Suite" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 597.90015, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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. 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Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-15T10:48:29.509", "fingerprint" : "edf34c399eb24052eabf58802ad643cfc34f5b7e785411649b20ca76ef3fb79e", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877770", "externalId" : "877770", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, J2EE, GO, Python, SpringBoot, Gin, Mockito, Junit, PostgreSQL, MySQL, MongoDB, Microsoft Azure, AWS, Microservices architecture, Service Discovery, Fault tolerance, Kubernetes, Docker, Kafka, Rabbit MQ, Redis, Terraform, Helm, OpenApi Standard, OAuth, Maven, Apache Tomcat, Jboss, Jenkins, Groovy, Shell, ELK, PKI", "professionalSkills" : [ "API design", "SDLC Life Cycle", "Business requirements", "Application Architecture", "Middleware Concepts", "Code Quality" ], "hardSkillsList" : [ "Web services development", "API development", "Unit test cases", "Mocking framework", "CI/CD scripts", "Container orchestration", "Web services", "API security" ], "hardSkills" : [ { "name" : "Web services development", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Unit test cases", "level" : "intermediate" }, { "name" : "Mocking framework", "level" : "intermediate" }, { "name" : "CI/CD scripts", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Web services", "level" : "intermediate" }, { "name" : "API security", "level" : "intermediate" } ], "majorSkills" : "Microservices, API development, Cloud deployment, Java", "majorSkillsList" : [ "Microservices", "API development", "Cloud deployment", "Java" ], "coreResponsibilities" : "Design efficient Micro services, Develop high-volume APIs, Develop low-latency APIs, Develop mission-critical APIs, Deliver high-availability web services, Deliver performance-centric web services, Develop public API for Automotive domain, Write unit test cases, Design CI/CD scripts, Build CI/CD scripts, Package using containers, Cloud deployment, Cloud hosting, Contribute in development lifecycle, Write well designed code, Write testable code, Write server side code, Ensure designs compliance, Prepare software releases, Produce software releases, Support continuous improvement, Investigate alternatives, Investigate technologies, Present alternatives for review, Present technologies for review", "teamCollaboration" : "Cross-functional teams; Architectural review", "domainKnowledge" : "Automotive domain; After sales process", "domainList" : [ "automotive-domain", "after-sales-process" ], "domainSpecificKnowledge" : [ "Automotive domain", "After sales process" ], "toolProficiency" : [ "Mockito", "Junit", "Kubernetes", "Docker", "Kafka", "Rabbit MQ", "Redis", "Terraform", "Helm", "Maven", "Apache Tomcat", "Jboss", "Jenkins", "App Dynamics", "Datadog" ], "documentationSkills" : "Business documents", "continuousLearning" : "Investigating alternatives; Investigating technologies", "problemSolvingSkills" : "Resolves technical issues; Debugging; Research; Investigation", "qualificationsBasic" : "Java/J2EE(Java8 and above), GO, Python, SpringBoot, Gin, Mockito, Junit, PostgreSQL, MySQL, MongoDB, Microsoft Azure or AWS, Kubernetes, Docker, Kafka, Rabbit MQ, Redis, Terraform, Helm, OpenApi Standard 3. x, OAuth 1. 0/2. 0, Maven, Apache Tomcat/Jboss, Jenkins, End-to-end implementation of java based web services or API development in last two years, API management software, Object oriented analysis and design", "qualificationsPreferred" : "Application monitoring tools, App Dynamics, Datadog, Groovy, Shell, ELK, Public Key Interface (PKI)", "remoteFriendly" : false, "rawDescription" : "Responsibilities Expertise in design and development of efficient Micro services. 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Ability to prioritize and multi-task in order to meet deadlines Resolves technical issues through debugging, research and investigation Able to understand client needs. Takes responsibility of the tasks assigned and can find solutions with minimum assistance Good understanding of the existing technical solutions and their implementation Contribute in all phases of the development lifecycle Write well designed, testable, server side code Ensure designs are in compliance with specifications Prepare and produce releases of software components Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review Technical Skill Expertise in following Technical areas is MUST. Programming languages: Java/J2EE(Java8 and above), GO, Python Frameworks: SpringBoot, Gin, Mockito, Junit. Database like PostgreSQL, MySQL, MongoDB Public cloud: Microsoft Azure or AWS Microservices architecture : Service Discovery and fault tolerance mechanism Container Orchestration: Kubernetes, Docker Message processing and caching mechanism: Kafka, Rabbit MQ, Redis Terraform and Helm Expertise on API design using OpenApi Standard 3.x API security: OAuth 1.0/2.0Build tools and serves: Maven, Apache Tomcat/Jboss, Jenkins Cloud Technology: Deployment & Hosting of Web services on cloud (Kubernetes) Expertise in following areas is good to have. Application monitoring tools: App Dynamics, Datadog Scripting: Groovy and Shell ELK and Public Key Interface (PKI) Other Skill In-depth understanding of SDLC life Cycle Converting business requirements in business documents Knowhow of Application Architecture and Middleware Concepts Code Quality and other quality framework. Good communication skills        Automotive domain knowledge in after sales process is and added advantage. 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Micro service development responsibilities include developing high-volume, low-latency APIs for mission-critical systems and delivering high-availability and performance-centric web services. Develop public API for Automotive domain based on after sales process. Write unit test cases using mocking framework for API and services. Design and build continuous integration and continuous delivery scripts using open sources platform. Packaging using containers, cloud deployment and cloud hosting using popular container orchestration framework. Should have experience end-to-end implementation of java based web services or API development in last two years. Development experiences using spring boot framework. Proficient with APIs and service oriented architectures Object oriented analysis and design using common design patterns Should have hands on experience in API management software. Ability to prioritize and multi-task in order to meet deadlines Resolves technical issues through debugging, research and investigation Able to understand client needs. Takes responsibility of the tasks assigned and can find solutions with minimum assistance Good understanding of the existing technical solutions and their implementation Contribute in all phases of the development lifecycle Write well designed, testable, server side code Ensure designs are in compliance with specifications Prepare and produce releases of software components Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review Technical Skill Expertise in following Technical areas is MUST. Programming languages: Java/J2EE(Java8 and above), GO, Python Frameworks: SpringBoot, Gin, Mockito, Junit. Database like PostgreSQL, MySQL, MongoDB Public cloud: Microsoft Azure or AWS Microservices architecture : Service Discovery and fault tolerance mechanism Container Orchestration: Kubernetes, Docker Message processing and caching mechanism: Kafka, Rabbit MQ, Redis Terraform and Helm Expertise on API design using OpenApi Standard 3.x API security: OAuth 1.0/2.0Build tools and serves: Maven, Apache Tomcat/Jboss, Jenkins Cloud Technology: Deployment & Hosting of Web services on cloud (Kubernetes) Expertise in following areas is good to have. Application monitoring tools: App Dynamics, Datadog Scripting: Groovy and Shell ELK and Public Key Interface (PKI) Other Skill In-depth understanding of SDLC life Cycle Converting business requirements in business documents Knowhow of Application Architecture and Middleware Concepts Code Quality and other quality framework. Good communication skills        Automotive domain knowledge in after sales process is and added advantage. Bachelor’s Degree / Master’s Degree in Information technology or Engineering Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Senior Consultant for Topic NERD. Skills: Microservices, API development, Cloud deployment, Java. Design efficient Micro services. Develop high-volume APIs", "createdAt" : "2026-06-14T08:48:48.691", "lastUpdated" : "2026-06-15T12:21:25.568", "ingestTimestamp" : "2026-06-14T08:48:48.691", "mongoId" : "6a191e7758b93c861e39f825", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Web services development", "API development", "Unit test cases", "Mocking framework", "CI/CD scripts", "Container orchestration", "Web services", "API security", "Microservices", "Cloud deployment", "Java", "API design", "Service oriented architectures", "SDLC Life Cycle", "Business requirements", "Application Architecture", "Middleware Concepts", "Code Quality", "Automotive domain", "After sales process", "Mockito", "Junit", "Kubernetes", "Docker", "Kafka", "Rabbit MQ", "Redis", "Terraform", "Helm", "Maven", "Apache Tomcat", "Jboss", "Jenkins", "App Dynamics", "Datadog" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 592.58966, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305747f292fd229cf3727e", "title" : "Senior Product Manager (Special Hires)", "company" : "INFUSE", "industry" : "Technology", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in Bulgaria, adjusted for remote work and the technology industry." }, "location" : "Boca Raton, Florida, United States", "locations" : [ "Boca Raton", "Florida", "United States" ], "timestamp" : "2026-06-16T08:12:54.279", "fingerprint" : "16b45c58cad0025bd96bd2a97c6bd59c4be6aea3311c7a6768d214ab795a7de7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/infuse/jobs/4705995005", "externalId" : "4705995005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Business process analysis", "Process optimization", "Digital transformation", "Data-informed decision-making" ], "hardSkillsList" : [ "Process analysis", "Process optimization", "Digital transformation", "Automation" ], "hardSkills" : [ { "name" : "Process analysis", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Digital transformation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Product development, Business process analysis", "majorSkillsList" : [ "Product strategy", "Product development", "Business process analysis" ], "coreResponsibilities" : "Define vision for new solutions, Define vision for new tools, Drive business outcomes, Transform strategic goals into solutions, Align technical capabilities with business priorities, Own full product lifecycle, Gather requirements, Release products, Implement into business process, Optimize continuously, Bridge business stakeholders and technical teams, Ensure clarity, Ensure alignment, Ensure transparency, Analyze existing processes, Identify automation opportunities, Implement effective solutions, Collaborate across business analysts, Collaborate across designers, Collaborate across engineering, Cover niche projects, Cover product stages", "teamCollaboration" : "Business stakeholders; Technical teams; Business analysts; Designers; Engineering", "projectManagementSkills" : [ "Product lifecycle management" ], "domainKnowledge" : "Demand generation; B2B organizations", "domainList" : [ "demand-generation", "b2b-organizations" ], "domainSpecificKnowledge" : [ "Demand generation", "B2B organizations" ], "toolProficiency" : [ "No-code tools", "Low-code tools" ], "communicationSkills" : "Stakeholder alignment", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Turn big-picture goals into outcomes; Deliver measurable outcomes", "qualificationsBasic" : "5+ years as Product or Project Manager, Measurable delivery results, Proven track record in business process analysis, Proven track record in optimization, Proven track record in digital transformation, Analytical mindset, Data-informed decision-making, Experience building automations, Proficiency in no-code/low-code tools, Excellent communication skills, Excellent stakeholder alignment skills, Fluent English (spoken and written)", "qualificationsPreferred" : "Business Analysis background", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We're looking for a Senior Product Manager (Special Hires) to lead the strategy, development, and implementation of new systems, tools, and business processes that will power our next stage of growth. You'll work at the intersection of business strategy and technical execution — turning big-picture goals into real, measurable outcomes. What You'll Do Partner with leadership and department heads to define the vision for new solutions and tools that drive business outcomes Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities Own the full product lifecycle - from discovery and requirements gathering through release, implementation into the business process, and continuous optimization Bridge business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage Analyze existing processes, identify automation opportunities, and implement effective solutions Collaborate across business analysts, designers, and engineering - and independently cover niche projects or product stages when needed What We're Looking For 5+ years as a Product or Project Manager in a fast-paced digital or tech-driven environment, with measurable delivery results Proven track record in business process analysis, optimization, and digital transformation Strong analytical mindset with data-informed decision-making Deep understanding of when to build vs. when to solve without development Experience building automations to optimize processes and manual tasks Proficiency in no-code/low-code tools for early-stage prototyping and hypothesis validation Excellent communication and stakeholder alignment skills Self-driven, highly organized, comfortable working remotely across time zones Fluent English (spoken and written) Nice to have: Business Analysis background We strive to make our hiring process fair and comfortable for all candidates. Our process may include one-way video interviews, behavioral assessments, and timed cognitive tests. If you are an individual with a disability or are neurodiverse and need specific accommodations—such as extra time on a test, an alternative communication format, or flexible scheduling—please feel free to let us know. We’re happy to work with you to ensure you can perform at your best.", "summaryDescription" : "Senior Product Manager (Special Hires) at INFUSE. Skills: Product strategy, Product development, Business process analysis. Define vision for new solutions. Define vision for new tools", "postedDate" : "2026-06-15T23:29:26.691", "createdAt" : "2026-06-15T23:29:26.691", "lastUpdated" : "2026-06-16T08:12:54.279", "ingestTimestamp" : "2026-06-15T23:29:26.691", "mongoId" : "6a305747f292fd229cf3727e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Process analysis", "Process optimization", "Digital transformation", "Automation", "Product strategy", "Product development", "Business process analysis", "Data-informed decision-making", "Product lifecycle management", "Demand generation", "B2B organizations", "No-code tools", "Low-code tools" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 588.9416, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305747f292fd229cf3727d", "title" : "Senior Product Manager (Special Hires)", "company" : "INFUSE", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Product Manager in Bulgaria, adjusted for remote work and technology industry." }, "location" : "Boca Raton, Florida, United States", "locations" : [ "Boca Raton", "Florida", "United States" ], "timestamp" : "2026-06-16T10:14:50.940", "fingerprint" : "a8095df9a88df75ac90030ee467f59fefce938bd18d08056eda5055998e105b9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/infuse/jobs/4705994005", "externalId" : "4705994005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Business process analysis", "Process optimization", "Digital transformation", "Data-informed decision-making" ], "hardSkillsList" : [ "Process analysis", "Process optimization", "Digital transformation", "Automation" ], "hardSkills" : [ { "name" : "Process analysis", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Digital transformation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Product development, Business process analysis", "majorSkillsList" : [ "Product strategy", "Product development", "Business process analysis" ], "coreResponsibilities" : "Define vision for new solutions, Define vision for new tools, Drive business outcomes, Transform strategic goals into solutions, Align technical capabilities with business priorities, Own full product lifecycle, Gather requirements, Release products, Implement into business process, Optimize continuously, Bridge business stakeholders and technical teams, Ensure clarity, Ensure alignment, Ensure transparency, Analyze existing processes, Identify automation opportunities, Implement effective solutions, Collaborate across business analysts, Collaborate across designers, Collaborate across engineering, Cover niche projects, Cover product stages", "teamCollaboration" : "Business stakeholders; Technical teams; Business analysts; Designers; Engineering", "projectManagementSkills" : [ "Product lifecycle management" ], "domainKnowledge" : "Demand generation; B2B organizations", "domainList" : [ "demand-generation", "b2b-organizations" ], "domainSpecificKnowledge" : [ "Demand generation", "B2B organizations" ], "toolProficiency" : [ "No-code tools", "Low-code tools" ], "communicationSkills" : "Stakeholder alignment", "problemSolvingSkills" : "Root cause analysis; Process analysis; Process optimization", "outcomesObjectives" : "Turn big-picture goals into outcomes; Deliver measurable outcomes", "qualificationsBasic" : "5+ years as Product or Project Manager, Measurable delivery results, Proven track record in business process analysis, Proven track record in optimization, Proven track record in digital transformation, Analytical mindset, Data-informed decision-making, Experience building automations, Proficiency in no-code/low-code tools, Excellent communication skills, Excellent stakeholder alignment skills, Fluent English (spoken and written)", "qualificationsPreferred" : "Business Analysis background", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We're looking for a Senior Product Manager (Special Hires) to lead the strategy, development, and implementation of new systems, tools, and business processes that will power our next stage of growth. You'll work at the intersection of business strategy and technical execution — turning big-picture goals into real, measurable outcomes. What You'll Do Partner with leadership and department heads to define the vision for new solutions and tools that drive business outcomes Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities Own the full product lifecycle - from discovery and requirements gathering through release, implementation into the business process, and continuous optimization Bridge business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage Analyze existing processes, identify automation opportunities, and implement effective solutions Collaborate across business analysts, designers, and engineering - and independently cover niche projects or product stages when needed What We're Looking For 5+ years as a Product or Project Manager in a fast-paced digital or tech-driven environment, with measurable delivery results Proven track record in business process analysis, optimization, and digital transformation Strong analytical mindset with data-informed decision-making Deep understanding of when to build vs. when to solve without development Experience building automations to optimize processes and manual tasks Proficiency in no-code/low-code tools for early-stage prototyping and hypothesis validation Excellent communication and stakeholder alignment skills Self-driven, highly organized, comfortable working remotely across time zones Fluent English (spoken and written) Nice to have: Business Analysis background We strive to make our hiring process fair and comfortable for all candidates. Our process may include one-way video interviews, behavioral assessments, and timed cognitive tests. If you are an individual with a disability or are neurodiverse and need specific accommodations—such as extra time on a test, an alternative communication format, or flexible scheduling—please feel free to let us know. We’re happy to work with you to ensure you can perform at your best.", "summaryDescription" : "Senior Product Manager (Special Hires) at INFUSE. Skills: Product strategy, Product development, Business process analysis. Define vision for new solutions. Define vision for new tools", "postedDate" : "2026-06-15T23:28:04.755", "createdAt" : "2026-06-15T23:28:04.755", "lastUpdated" : "2026-06-16T10:14:50.940", "ingestTimestamp" : "2026-06-15T23:28:04.755", "mongoId" : "6a305747f292fd229cf3727d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Process analysis", "Process optimization", "Digital transformation", "Automation", "Product strategy", "Product development", "Business process analysis", "Data-informed decision-making", "Product lifecycle management", "Demand generation", "B2B organizations", "No-code tools", "Low-code tools" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 588.91315, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305747f292fd229cf37289", "title" : "Senior Product Manager (Special Hires)", "company" : "INFUSE", "industry" : "Technology", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in Bulgaria, adjusted for remote work and the technology industry." }, "location" : "Boca Raton, Florida, United States", "locations" : [ "Boca Raton", "Florida", "United States" ], "timestamp" : "2026-06-16T11:04:23.915", "fingerprint" : "1dac1c15e07208cf82e23a6362e44077d8732a85373411cbc97cec510830f77c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/infuse/jobs/4705974005", "externalId" : "4705974005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Business process analysis", "Process optimization", "Digital transformation", "Data-informed decision-making" ], "hardSkillsList" : [ "Process analysis", "Process optimization", "Digital transformation", "Automation" ], "hardSkills" : [ { "name" : "Process analysis", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Digital transformation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Product development, Business process analysis", "majorSkillsList" : [ "Product strategy", "Product development", "Business process analysis" ], "coreResponsibilities" : "Define vision for new solutions, Define vision for new tools, Transform strategic goals into solutions, Own full product lifecycle, Gather requirements, Release products, Implement into business process, Optimize continuously, Bridge business stakeholders and technical teams, Analyze existing processes, Identify automation opportunities, Implement effective solutions, Collaborate across business analysts, Collaborate across designers, Collaborate across engineering, Cover niche projects, Cover product stages", "teamCollaboration" : "Leadership; Department heads; Business stakeholders; Technical teams; Business analysts; Designers; Engineering", "projectManagementSkills" : [ "Product lifecycle management", "Roadmap planning" ], "domainKnowledge" : "Demand generation; B2B organizations", "domainList" : [ "demand-generation", "b2b-organizations" ], "domainSpecificKnowledge" : [ "Demand generation", "B2B organizations" ], "toolProficiency" : [ "No-code tools", "Low-code tools" ], "communicationSkills" : "Stakeholder alignment", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "outcomesObjectives" : "Drive business outcomes; Achieve business goals; Turn goals into outcomes", "qualificationsBasic" : "5+ years as Product or Project Manager, Measurable delivery results, Proven track record in business process analysis, Proven track record in optimization, Proven track record in digital transformation, Analytical mindset, Data-informed decision-making, Experience building automations, Proficiency in no-code/low-code tools, Excellent communication skills, Excellent stakeholder alignment skills, Fluent English (spoken and written)", "qualificationsPreferred" : "Business Analysis background", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We're looking for a Senior Product Manager (Special Hires) to lead the strategy, development, and implementation of new systems, tools, and business processes that will power our next stage of growth. You'll work at the intersection of business strategy and technical execution — turning big-picture goals into real, measurable outcomes. What You'll Do Partner with leadership and department heads to define the vision for new solutions and tools that drive business outcomes Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities Own the full product lifecycle - from discovery and requirements gathering through release, implementation into the business process, and continuous optimization Bridge business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage Analyze existing processes, identify automation opportunities, and implement effective solutions Collaborate across business analysts, designers, and engineering - and independently cover niche projects or product stages when needed What We're Looking For 5+ years as a Product or Project Manager in a fast-paced digital or tech-driven environment, with measurable delivery results Proven track record in business process analysis, optimization, and digital transformation Strong analytical mindset with data-informed decision-making Deep understanding of when to build vs. when to solve without development Experience building automations to optimize processes and manual tasks Proficiency in no-code/low-code tools for early-stage prototyping and hypothesis validation Excellent communication and stakeholder alignment skills Self-driven, highly organized, comfortable working remotely across time zones Fluent English (spoken and written) Nice to have: Business Analysis background We strive to make our hiring process fair and comfortable for all candidates. Our process may include one-way video interviews, behavioral assessments, and timed cognitive tests. If you are an individual with a disability or are neurodiverse and need specific accommodations—such as extra time on a test, an alternative communication format, or flexible scheduling—please feel free to let us know. We’re happy to work with you to ensure you can perform at your best.", "summaryDescription" : "Senior Product Manager (Special Hires) at INFUSE. Skills: Product strategy, Product development, Business process analysis. Define vision for new solutions. Define vision for new tools", "postedDate" : "2026-06-15T23:24:43.200", "createdAt" : "2026-06-15T23:24:43.200", "lastUpdated" : "2026-06-16T11:04:23.915", "ingestTimestamp" : "2026-06-15T23:24:43.200", "mongoId" : "6a305747f292fd229cf37289", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Process analysis", "Process optimization", "Digital transformation", "Automation", "Product strategy", "Product development", "Business process analysis", "Data-informed decision-making", "Product lifecycle management", "Roadmap planning", "Demand generation", "B2B organizations", "No-code tools", "Low-code tools" ], "skillCount" : 14, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 588.84314, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c93fa74d8ee00a098964f", "title" : "Autonomous Operations Specialist, Equipment Operator", "company" : "Pronto AI", "industry" : "Technology", "salary" : { "min" : 71000.0, "max" : 89000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T10:15:20.475", "fingerprint" : "8fa8f0baadbb839036f40b682ddf8004870a8fae613e055af232702d4b9cc206", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pronto/jobs/8587069002", "externalId" : "8587069002", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Equipment inspection", "Light maintenance" ], "hardSkills" : [ { "name" : "Equipment inspection", "level" : "intermediate" }, { "name" : "Light maintenance", "level" : "intermediate" } ], "majorSkills" : "Autonomous vehicle technology, Equipment operation, Safety driving", "majorSkillsList" : [ "Autonomous vehicle technology", "Equipment operation", "Safety driving" ], "coreResponsibilities" : "Serve as Safety Drivers, Test and provide feedback, Operate heavy equipment, Assist with development, Assist with testing, Refine safety protocols, Perform equipment inspections, Perform light maintenance, Maintain operating records", "teamCollaboration" : "Work with engineering teams; Collaborate with operators", "domainKnowledge" : "Autonomous Haulage Systems; Mining operations; Quarrying operations; Construction sites", "domainList" : [ "autonomous-haulage-systems", "mining-operations", "quarrying-operations", "construction-sites" ], "domainSpecificKnowledge" : [ "Autonomous Haulage Systems", "Mining operations", "Quarrying operations", "Construction sites" ], "innovationCreativity" : "Inventing the future", "specialRequirements" : "Willingness to travel, Work occasional nights, Work occasional weekends", "outcomesObjectives" : "Make mining operations safer; Make mining operations smarter; Make mining operations more efficient", "qualificationsBasic" : "Professional driving experience 3-5 years, Clean safety record", "qualificationsPreferred" : "Experience with mining operations, Experience with quarrying operations, Experience operating heavy equipment", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company. What you’ll do We are looking for entrepreneurial Test Operators to help us revolutionize the mining and quarrying industries. We give our Operators a wide range of responsibilities / opportunities to help us develop and roll-out our autonomous technologies to the world. This is not a standard driving position - it's an opportunity for highly capable, motivated professionals to be part of a technology team that is moving fast, is inventing the future of haulage, and asks a lot of its team members. Serving as Safety Drivers in our autonomous off-road haul trucks at our customer deployments in our various locations across the US. Working directly with our engineering teams to test and provide feedback on new technologies / features When necessary, operating other heavy equipment, such as excavators, loaders, and / or bulldozers Assisting with the development and testing of our off-road autonomous technologies Following and helping to refine / further develop safety protocols Performing routine equipment inspections and light maintenance Maintaining accurate operating records What we’re looking for An entrepreneurial mindset and a desire to be part of an early stage, deep tech startup that is inventing the future of the mining and quarrying industries Professional driving experience of at least 3-5 years, either off-road or on-road, with a clean safety record Experience with mining and / or quarrying operations preferred Experience operating other heavy equipment (e.g., excavators, loaders, bulldozers) preferred Willingness to travel as necessary and work occasional nights / weekends Strong communication skills, attention to detail, and ability to work in demanding, fast-paced environments Why join us Work on real, production-deployed autonomy. Build technology that directly improves safety, efficiency, and productivity. Tackle complex challenges in demanding, real-world environments. Be part of a fast-moving team with high ownership and impact. See your work deployed and making a difference in the field. Collaborate closely with experienced engineers and industry operators. What else you need to know As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. While this role is remote, travel to our various field sites across the US is a critical part of this operation. The base salary range for this role is $71,000-$89,000 per year and will vary based on location. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Benefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite", "summaryDescription" : "Autonomous Operations Specialist, Equipment Operator at Pronto AI. Skills: Autonomous vehicle technology, Equipment operation, Safety driving. Serve as Safety Drivers. Test and provide feedback", "postedDate" : "2026-06-14T08:47:12.834", "createdAt" : "2026-06-14T08:47:12.834", "lastUpdated" : "2026-06-15T10:15:20.475", "ingestTimestamp" : "2026-06-14T08:47:12.834", "mongoId" : "6a2c93fa74d8ee00a098964f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 71000, "salaryAnnualMax" : 89000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Equipment inspection", "Light maintenance", "Autonomous vehicle technology", "Equipment operation", "Safety driving", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Autonomous Haulage Systems", "Mining operations", "Quarrying operations", "Construction sites" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 586.34204, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a1a777b58b93c861e8652a5", "title" : "Special Topics: Modelling and Analysis of Autonomous Systems", "company" : "Our People And Committed To Employment Equity", "industry" : "Engineering", "salary" : { "min" : 239.47, "max" : 239.47, "currency" : "USD", "frequency" : "yearly" }, "location" : "Ottawa, ON", "locations" : [ "Ottawa, ON", "Canada" ], "certifications" : [ "Licensed or eligible to be licensed from one of Canada’s engineering regulators" ], "timestamp" : "2026-05-30T08:10:29.797", "fingerprint" : "09d18f88513816d81432aecd716e3a4f413f79dea1b9b86c9a60d33a46a84526", "source" : "workday", "language" : "en", "applyUrl" : "https://uottawa.wd3.myworkdayjobs.com/uOttawa_External_Career_Site/job/Ottawa-ON/APTPUO-Fall-2026-MCG4190-A00_JR35489", "externalId" : "JR35489", "industryFunction" : { }, "locationPoint" : "5.71842,-6.27466", "structuredLocations" : [ { "city" : "Ottawa", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Ottawa, Ontario, Canada", "employmentType" : "PART_TIME", "minimumEducation" : "PhD in Mechanical Engineering", "technicalSkills" : "Dynamical systems theory, Control systems, Algorithmic, Stochastic models, Search theory, Target detection, Image analysis, Optimization techniques", "professionalSkills" : [ "Modelling", "Analysis", "Autonomous systems" ], "majorSkills" : "Modelling, Analysis, Autonomous Systems", "majorSkillsList" : [ "Modelling", "Analysis", "Autonomous Systems" ], "coreResponsibilities" : "Teach Special Topics: Modelling and Analysis of Autonomous Systems", "teamCollaboration" : "foster a culture of respect, teamwork and inclusion", "domainKnowledge" : "Autonomous systems; Robotic devices; Hazardous environments; Infrastructure monitoring; Patient rehabilitation", "domainList" : [ "autonomous-systems", "robotic-devices", "hazardous-environments", "infrastructure-monitoring", "patient-rehabilitation" ], "domainSpecificKnowledge" : [ "Autonomous systems", "Robotic devices", "Hazardous environments", "Infrastructure monitoring", "Patient rehabilitation" ], "innovationCreativity" : "innovation, and creativity fuel our quest for research and teaching excellence", "qualificationsBasic" : "PhD in Mechanical Engineering, background in mechanical engineering, active research in the subject, Licensed or eligible to be licensed from one of Canada’s engineering regulators", "remoteFriendly" : false, "workSiteFlexibility" : "Courses will be in person.", "rawDescription" : "**_Posting Reason:_** New Position ** _Location:_** Main Campus ** _Academic Period:_** 2026 Fall Semester _**Faculty:**_ Faculté de génie / Faculty of Engineering ** _Academic Unit:_** Département de génie mécanique \\\\\\ Department of Mechanical Engineering _**Course Title:**_ Special Topics: Modelling and Analysis of Autonomous Systems _**Course Code:**_ MCG4190 _**Section:**_ A00 _**Course Description:**_ Special Topics: Modelling and Analysis of Autonomous Systems Course Description: Autonomous systems are increasingly used in a variety of engineering applications that are of fundamental importance for both civilian and military purposes, consisting for example of robotic devices autonomously operating in hazardous environments, performing routine monitoring and maintenance of infrastructures, and aiding the rehabilitation of patients suffering different injuries, among others. From the engineering perspective, the design and realization of advanced autonomous systems is at the intersection of dynamical systems theory, control systems, and algorithmic. This course uses real life engineering systems of interest to introduce stochastic models that apply to frameworks such as search theory for mobile autonomous systems, and target detection from images taken by autonomous systems. Additionally, recent optimization techniques based on symmetry are presented. _**Posting limited to:**_ Professeur à temps-partiel régulier / Regular Part-Time Professor _**Date Posted (YYYY/MM/DD):**_ 2026/05/27 _**Applications must be received******BEFORE******(YYYY/MM/DD):**_ 2026/06/28 _**Expected Enrolment:**_ 72 _**Approval date:**_ 2026/05/27 _**Number of credits:**_ 3 _**Work Hours:**_ 39 ** _Hourly Rate:_** Enseignement / Teaching: $239.47 (2024-2025) **The academic year starts on September 1 and ends on August 31.** **These rates do not included vacation pay nor statutory pay.** **These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.** _**Course type:**_ C _**Posting type:**_ Régulier / Regular _**Language of instruction:**_ Anglais | English _**Competence in second language:**_ Passive _**Course Schedule:**_ Mardi | Tuesday 14:30-17:30 - - **_Requirements:_** _**Candidate Profile:**_ * PhD in Mechanical Engineering * Strong background in mechanical engineering and active research in the subject * Licensed or eligible to be licensed from one of Canada’s engineering regulators _**Teaching mode:**_ Courses will be in person. Please note that the teaching method could change due to health measures or other reasons. _**Additional Information and/or Comments:**_ Combine section with ELG7114 A00/MCG5138 A00 An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click [here for the main unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-11/CA%20-%20APTPUO%20-%20Main%20Unit%20-%202021-2025.pdf), [here for the OLBI unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-07/CA%20-%20APTPUO%20ILOB%20-%202021-2025.pdf), or [here for the Toronto/Windsor unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-07/CA%20-%20APTPUO%20-%20TorWin%20-%202021-2025.pdf) to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact [vra.affairesprofessorales@uottawa.ca](mailto:vra.affairesprofessorales@uottawa.ca) to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.", "summaryDescription" : "Special Topics: Modelling and Analysis of Autonomous Systems at Our People And Committed To Employment Equity. Skills: Modelling, Analysis, Autonomous Systems. Teach Special Topics: Modelling and Analysis of Autonomous Systems", "postedDate" : "2026-05-28T08:04:34.664", "createdAt" : "2026-05-30T08:04:34.638", "lastUpdated" : "2026-05-30T08:10:29.797", "ingestTimestamp" : "2026-05-30T08:04:34.638", "mongoId" : "6a1a777b58b93c861e8652a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://uottawa.wd3.myworkdayjobs.com/uOttawa_External_Career_Site/job/Ottawa-ON/APTPUO-Fall-2026-MCG4190-A00_JR35489", "salaryAnnualMax" : 239, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Modelling", "Analysis", "Autonomous Systems", "Autonomous systems", "Robotic devices", "Hazardous environments", "Infrastructure monitoring", "Patient rehabilitation", "Licensed or eligible to be licensed from one of Canada’s engineering regulators" ], "skillCount" : 9, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 583.1208, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering" }, { "id" : "6a2c7e9e74d8ee00a095300a", "title" : "Manager of Conversation Analysis", "company" : "Authenticx", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager of Conversation Analysis in Indianapolis, adjusted for SaaS industry and manager seniority." }, "location" : "Indianapolis, Indiana, United States", "locations" : [ "Indianapolis", "Indiana", "United States" ], "timestamp" : "2026-06-16T02:29:50.027", "fingerprint" : "9f1b54f14da0b2164f576ffe488840a0cdd93f4091d3741b275adfa3fae34102", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/authenticx/jobs/4280475009", "externalId" : "4280475009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7683331,-86.1583502" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Indianapolis, Indiana, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "AI models, Data Science", "professionalSkills" : [ "People management", "Methodological ownership", "Client-facing presence", "Analytical rigor", "Operational excellence" ], "hardSkillsList" : [ "Labeling methodology", "Rubric development", "Ground truth labeling", "Insights mining", "Performance standards" ], "softSkillsList" : [ "Intellectual curiosity", "Critical thinking", "Conflict resolution", "Urgency" ], "hardSkills" : [ { "name" : "Labeling methodology", "level" : "intermediate" }, { "name" : "Rubric development", "level" : "intermediate" }, { "name" : "Ground truth labeling", "level" : "intermediate" }, { "name" : "Insights mining", "level" : "intermediate" }, { "name" : "Performance standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" }, { "name" : "Critical thinking" }, { "name" : "Conflict resolution" }, { "name" : "Urgency" } ], "majorSkills" : "Conversation Analysis, People Leadership, Data Labeling", "majorSkillsList" : [ "Conversation Analysis", "People Leadership", "Data Labeling" ], "coreResponsibilities" : "Manage team of analysts, Manage capacity, Prioritize work, Meet project timelines, Identify process improvements, Develop rubrics, Develop ground truth labeled data, Ensure consistent application of rubrics, Conduct secondary reviews, Address gaps, Develop high performers, Partner with AI team, Align labeling methodology, Communicate progress, Communicate risks, Communicate observations, Serve as SME, Develop expert level knowledge, Serve as escalation point, Collaborate with internal teams, Address customer issues, Drive innovation, Cast a vision, Evolve rubric design, Evolve labeling methodology, Evolve insights mining, Evolve insights delivery, Foster culture of continuous improvement, Improve performance, Improve consistency, Improve engagement", "teamCollaboration" : "Cross-functional partners; Data Science team; Prompt Engineering team; Product team; Client Success team; Internal teams", "projectManagementSkills" : [ "Capacity management", "Work prioritization", "Timeline management" ], "domainKnowledge" : "Model development lifecycle; Conversational data", "domainList" : [ "model-development-lifecycle", "conversational-data" ], "domainSpecificKnowledge" : [ "Model development lifecycle", "Conversational data" ], "communicationSkills" : "Client communication; Cross-functional communication; Written communication; Oral communication", "innovationCreativity" : "Drive innovation; Evolve rubric design; Evolve labeling methodology; Evolve insights mining; Evolve insights delivery", "problemSolvingSkills" : "Identify root causes; Risk recognition", "specialRequirements" : "Reside in USA, Authorized to work in USA, Occasional on-site work, Travel to Indianapolis, Travel for client meetings", "outcomesObjectives" : "Deliver labeling initiatives on schedule; Deliver insights mining initiatives on schedule; Meet defined agreement thresholds; Support insights initiatives", "qualificationsBasic" : "3+ years people management experience, Analytical thinking, Excellent written and verbal communication, Proven track record client-facing, Experience working cross-functionally", "qualificationsPreferred" : "Background in conversation analysis, Experience in healthcare, Experience in life sciences, Experience in call centers, Experience in regulated SaaS environments", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Position Summary The Manager, Conversation Analysis leads a team of analysts and owns the labeling methodology, rubrics, and ground truth labeled data that power Authenticx AI models and generate insights for our clients. This leader is accountable for the engagement, accuracy, and throughput of the team, and for delivering labeling and insights mining initiatives on schedule. The role combines direct people management with deep methodological ownership and a client-facing presence. The right candidate develops analysts while holding them to clear performance standards, serves as the subject-matter expert in front of clients and cross-functional partners in Data Science, Prompt Engineering, Product, and Client Success, and actively advances how the function operates through innovation and focus on continuous improvement. This role blends people leadership, analytical rigor, and operational excellence in a fast-paced SaaS environment. What You’ll Do Directly manage a team of analysts, including hiring, onboarding, performance reviews, career development, and day-to-day coaching Manage capacity, work prioritization, and timelines to meet project timelines Identifyprocess improvements to increase efficiency, scalability, and reliability of labeling operations Develop rubrics and ground truth labeled data supporting AI model development, insights mining, and continuous improvement Ensure consistent application of rubrics through regular secondary reviews proactively addressing gaps while recognizing and developing high performers Partner with the AI and Data Science team to align labeling methodologywith model development requirements while communicating progress, risks, and meaningful observations in the data. Serve as the Subject Matter Expert (SME) to customers and cross-functional partners in Data Science, Prompt Engineering, Product, and Client success related to our model development operating procedures Develop and maintainexpert level knowledge in how labeled conversational data connects to model development and outcomes Serves as an escalation point collaborating with internal teams (Support, Product, Engineering, CS) to address any customer issues, ensuring swift and efficient resolution. Drive innovation and cast a vision for how we evolve our rubric design, labeling methodology, and insights mining and delivery Foster a culture of continuous improvement with strong performance, consistency, engagement Key Skills Intellectual curiosity and a drive to possessa deep understanding of the Authenticx model development lifecycle, including our approach to rubric design and ground truth labeling for new model development and continues improvement Demonstrates critical thinking, new ideas, risk recognitionand ability to drive change People leadership with proven record of conflict resolution, coaching, developing, and growing analytical teams Thrives in ambiguity, moves with urgency, and holds themselves to the same standard of accountability they hold others Ability to advise clients on Authenticxmodel development framework and how this work connects to successful outcomes Excellent communication with ability to translate complex concepts into clear written standard and guidance Strong cross-functional collaboration with authenticxcross-functional teams and customers to ensure successful Authenticx solution adoption Written and oral communication skills that reflect the professionalism, expertise, precision, and specificity necessary for communicating  mattersthat may have compliance and regulatory implications Success Criteria Innovates:Evolves rubric design, labeling methodology, and the way insights are mined and delivered. Leads and Motivates:Drives analyst engagement, development, and retention. Demonstrates Expertise:Acts as a trusted advisor internally and externally. Delivers High-Quality Ground Truth Data:Produces objective ground truth data that meets defined agreement thresholds, validated through scheduled secondary reviews, and supports insights initiatives. Executes:Builds delivery plans and meets agreed deadlines across initiatives and projects. Qualifications Required 3+ years of people management experience leading analytical, labeling, or quality-focused teams Strong analytical thinking with the ability to identifyroot causes of quality or performance issues Excellent written and verbal communication, including translating complex methodologyinto clear guidance Proven track recordin client-facing settings as a subject-matter expert Experience working cross-functionally with technical teams such as data science or engineering Demonstrated record of innovation and elevating existing teams Preferred Background in conversation analysis, transcription review, annotation, or structured qualitative analysis Experience in healthcare, life sciences, call enters, or regulated SaaS environments is a plus Additional Information This is a remote/virtual position For local team members, occasional on-site working (Indianapolis north side) may be expected for in-person activities For remote team members, traveling to Indianapolis may be requiredapproximately 1-2x per year, based on business needs Travel for client meetings may be expected, based on business needs Candidates must residein the USA and be authorized to legally work in the USA without requiring employment visa sponsorship now or in the future", "summaryDescription" : "Manager of Conversation Analysis at Authenticx. Skills: Conversation Analysis, People Leadership, Data Labeling. Manage team of analysts. Manage capacity", "postedDate" : "2026-06-14T20:04:04.432", "createdAt" : "2026-06-14T20:04:04.432", "lastUpdated" : "2026-06-16T02:29:50.027", "ingestTimestamp" : "2026-06-14T20:04:04.432", "mongoId" : "6a2c7e9e74d8ee00a095300a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Labeling methodology", "Rubric development", "Ground truth labeling", "Insights mining", "Performance standards", "Intellectual curiosity", "Critical thinking", "Conflict resolution", "Urgency", "Conversation Analysis", "People Leadership", "Data Labeling", "People management", "Methodological ownership", "Client-facing presence", "Analytical rigor", "Operational excellence", "Capacity management", "Work prioritization", "Timeline management", "Model development lifecycle", "Conversational data" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 582.8685, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e24c40e2acd1b9967d", "title" : "Sr. Systems Engineer", "company" : "Amazon.com Services LLC", "industry" : "Systems, Quality, Security Engineering, Interdisciplinary Systems Engr, Retail", "salary" : { "min" : 151000.0, "max" : 204600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-14T23:39:17.555", "fingerprint" : "a8b6a5ab83caf4dab0a61844e95b8b472be57dd2fbcf753cec57ff1497eb3940", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412985/apply", "externalId" : "2df6a777-5393-45bc-9dda-5135da6cfa5f", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Distributed system functions, System design, Distributed system architecture", "professionalSkills" : [ "Systems engineering", "Subject matter expert", "Interdisciplinary trade studies", "Regulatory compliance", "Safety requirements validation" ], "hardSkillsList" : [ "Systems engineering", "Traffic management", "Route planning", "Geospatial", "Requirements generation", "Verification reports", "System life cycle", "Compliance matrix validation", "Verification plan writing" ], "softSkillsList" : [ "Innovation", "Problem solving" ], "hardSkills" : [ { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Traffic management", "level" : "intermediate" }, { "name" : "Route planning", "level" : "intermediate" }, { "name" : "Geospatial", "level" : "intermediate" }, { "name" : "Requirements generation", "level" : "intermediate" }, { "name" : "Verification reports", "level" : "intermediate" }, { "name" : "System life cycle", "level" : "intermediate" }, { "name" : "Compliance matrix validation", "level" : "intermediate" }, { "name" : "Verification plan writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovation" }, { "name" : "Problem solving" } ], "majorSkills" : "Systems engineering, Autonomous systems, Cloud architecture, Traffic management", "majorSkillsList" : [ "Systems engineering", "Autonomous systems", "Cloud architecture", "Traffic management" ], "coreResponsibilities" : "Define safety critical autonomous ground system features, Design safety critical autonomous ground system features, Verify safety critical autonomous ground system features, Launch safety critical autonomous ground system features, Serve as systems engineering lead, Serve as subject matter expert, Lead interdisciplinary trade studies, Determine critical requirements, Generate systems engineering artifacts, Own the entire system life cycle, Take features from concept to production, Review airspace regulations, Review industry standards, Collaborate with cross-functional teams, Define site-specific requirements, Expand automated traffic management system, Validate system adherence, Write verification plan, Ensure critical system requirements are tested, Drive integration of automated traffic management solution, Drive deployment of automated traffic management solution", "teamCollaboration" : "Cross-functional teams; Engineering teams; Interdisciplinary teams", "projectManagementSkills" : [ "Technical program management" ], "domainKnowledge" : "Airspace regulations; Autonomous ground systems; Airspace Mission Orchestration; Cloud based systems; Traffic management systems; Geospatial engineering; Weather science; Distributed systems; Flight decks; ARP4754A; DO-178C; DO-278A; DO-254", "domainList" : [ "airspace-regulations", "autonomous-ground-systems", "airspace-mission-orchestration", "cloud-based-systems", "traffic-management-systems", "geospatial-engineering", "weather-science", "distributed-systems", "flight-decks", "arp4754a", "do-178c", "do-278a", "do-254" ], "domainSpecificKnowledge" : [ "Airspace regulations", "Autonomous ground systems", "Airspace Mission Orchestration", "Cloud based systems", "Traffic management systems", "Geospatial engineering", "Weather science", "Distributed systems", "Flight decks", "ARP4754A", "DO-178C", "DO-278A", "DO-254" ], "documentationSkills" : "CONOPs; Design documents; Interface control documents; Requirements; Test cases; Test procedure; Test execution; Verification reports; Verification plan", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Analytical capabilities; Solve massive-scale real world delivery challenges; Solve hard problems", "outcomesObjectives" : "Provide visible benefit to end-users; Get the right things done quickly; Get the right things done effectively; Launch safety critical features; Safe system life cycle; Performant system life cycle; Certifiable system life cycle", "qualificationsBasic" : "Technical lead experience, Systems engineer experience, Technical program manager experience, Complex systems experience, Test strategies experience, Test plans experience, Complex hardware/software systems experience, Systems of systems experience, Bachelor's degree in Aerospace, Bachelor's degree in Electrical Engineering, Bachelor's degree in Mechanical Engineering, Bachelor's degree in Software Engineering, Bachelor's degree in related technical discipline", "qualificationsPreferred" : "Master's degree preferred, 5+ years ARP4754A experience, 5+ years DO-178C experience, 5+ years DO-278A experience, 5+ years DO-254 experience, Geospatial engineering experience, Weather science experience, Distributed systems experience, Flight decks experience, Traffic management experience, Cloud based software development experience, System design experience, Distributed system architecture experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve massive-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air team! We are seeking an experienced Sr. Systems Engineer who combines superb technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our engineering teams. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history! Key job responsibilities As a Senior Systems Engineer you will define, design, verify, and launch safety critical autonomous ground system features in a variety of airspace environments. Key responsibilities include: - Serve as the systems engineering lead and subject matter expert for subsystem(s) within the Airspace Mission Orchestration System, containing the safety critical cloud based operator interface, traffic management, communications, route planning, geospatial, and distributed system functions. - Lead interdisciplinary trade studies across Prime Air software, system, product, and regulatory functions to determine the critical requirements for a scalable cloud based system architecture. - Generate key systems engineering artifacts CONOPs, design documents, interface control documents, requirements, test cases, test procedure, test execution, and verification reports. - Own the entire system life cycle, taking features from concept to production in a way that is safe, performant, and certifiable. A day in the life The Senior Systems Engineer begins by reviewing the latest airspace regulations and industry standards. They then collaborate with cross-functional teams to define site-specific requirements for expanding the automated traffic management system to multiple locations within different jurisdictions. This is followed by a deep dive into the compliance matrix, validating the system's adherence to internal and external regulatory and safety requirements. The day concludes with writing a verification plan to ensure critical system requirements are adequately tested. Leveraging technical expertise, analytical skills, and collaboration, the engineer drives the successful integration and deployment of the automated traffic management solution. About the team The systems engineering team is a driven, focused, and experience team of aerospace professionals. Our systems engineering team is driven by a relentless customer obsession, we tackle the toughest technical challenges, turning visions into reality. Our mission is to design, integrate, and verify innovative ground systems that push the boundaries of what's possible. We are a collaborative group of problem-solvers, each bringing unique expertise from aerospace and technology sectors. Our culture is one of ownership and accountability - we take pride in our work and hold ourselves to the highest standards. Basic Qualifications: - Experience as a technical lead, systems engineer, or technical program manager with significant experience in complex systems - Experience developing test strategies and plans for complex hardware/software systems or systems of systems - Bachelor's degree in Aerospace, Electrical, Mechanical, Software Engineering, or a related technical discipline Preferred Qualifications: - Master's degree in Aerospace, Computer Science, Engineering, Mathematics, or a related field - 5+ years of experience working in an environment with one or more: ARP4754A, DO-178C, DO-278A, DO-254, or related. - Experience in one or more of the following: Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management. - Experience in cloud based software development, system design, and/or distributed system architecture. 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, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Systems Engineer at Amazon.com Services LLC. Skills: Systems engineering, Autonomous systems, Cloud architecture, Traffic management. Define safety critical autonomous ground system features. Design safety critical autonomous ground system features", "postedDate" : "2026-06-13T06:18:02.264", "createdAt" : "2026-06-13T06:18:02.264", "lastUpdated" : "2026-06-14T23:39:17.555", "ingestTimestamp" : "2026-06-13T06:18:02.264", "mongoId" : "69fda4e24c40e2acd1b9967d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412985/apply", "salaryAnnualMin" : 151000, "salaryAnnualMax" : 204600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Systems engineering", "Traffic management", "Route planning", "Geospatial", "Requirements generation", "Verification reports", "System life cycle", "Compliance matrix validation", "Verification plan writing", "Innovation", "Problem solving", "Autonomous systems", "Cloud architecture", "Subject matter expert", "Interdisciplinary trade studies", "Regulatory compliance", "Safety requirements validation", "Technical program management", "Airspace regulations", "Autonomous ground systems", "Airspace Mission Orchestration", "Cloud based systems", "Traffic management systems", "Geospatial engineering", "Weather science", "Distributed systems", "Flight decks", "ARP4754A", "DO-178C", "DO-278A", "DO-254" ], "skillCount" : 31, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 582.22546, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a21770a74d8ee00a0c1b9f5", "title" : "Finance Manager, Amazon Special Projects", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 104900.0, "max" : 179500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "certifications" : [ "CFA", "CPA" ], "timestamp" : "2026-06-16T00:38:03.082", "fingerprint" : "54b578b93f558a8ac59c863247fcfc1794cfdb27dfe6b6e25942bd45aaa90cfc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435670/apply", "externalId" : "27dcffe8-c16e-4b1b-80ea-65e0ceefcdba", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Excel, SAP", "professionalSkills" : [ "Financial modeling", "FP&A", "Accounting", "Budgeting", "Forecasting", "Variance analysis" ], "hardSkillsList" : [ "Financial analysis", "Budget management", "Forecasting accuracy", "Variance analysis", "Financial reporting" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Forecasting accuracy", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Financial reporting", "level" : "intermediate" } ], "majorSkills" : "Financial modeling, FP&A, Accounting", "majorSkillsList" : [ "Financial modeling", "FP&A", "Accounting" ], "coreResponsibilities" : "Develop financial models, Manage budgeting process, Oversee forecasting process, Perform variance analysis, Prepare financial reports, Support strategic initiatives, Improve financial processes, Ensure accounting compliance", "teamCollaboration" : "Cross-functional teams; Senior leadership", "domainKnowledge" : "Financial planning; Financial analysis; Accounting principles; Budgeting; Forecasting; Variance analysis", "domainList" : [ "financial-planning", "financial-analysis", "accounting-principles", "budgeting", "forecasting", "variance-analysis" ], "domainSpecificKnowledge" : [ "Financial planning", "Financial analysis", "Accounting principles", "Budgeting", "Forecasting", "Variance analysis" ], "toolProficiency" : [ "SAP", "Excel", "SQL" ], "communicationSkills" : "Executive presentations; Financial reporting", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years financial modeling, 5+ years FP&A experience, 5+ years accounting experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA preferred, MBA preferred", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Future CFOs wanted! Amazon seeks a Finance Manager to partner with a Special Projects team that takes the company’s Think Big leadership principle to the max, with no industries or subject areas out of bounds. You will play a key role among innovators, entrepreneurs, builders, and dreamers that are transforming bold new ideas into high-impact strategic initiatives, with the goal of creating entirely new products and services. If you’re interested in helping Amazon address grand challenges in the world and break new ground—this role is for you. As Finance Manager, you will operate independently and cross-functionally to drive financial strategy and deliver results in a fast-moving, start-up environment. Assignments will be ambiguous and demand a highly analytical, intellectually curious leader with sharp judgment who can evaluate situations through the lens of the customer, business owner, and financial investor. You must be strategic in vision, rigorous in analysis, and proven in managing competing priorities while influencing decisions through compelling financial narratives, data-driven recommendations, and creative alternatives. This role requires regular engagement with business and finance leaders. Key job responsibilities ● Lead finance support for new business cases including opportunity-sizing, financial modeling, scenario analysis, validating assumptions, etc. ● Partner with cross-functional teams across programs to ensure operating plans deliver strong returns on investment and sustainable, long-term growth ● Influence strategic decisions by developing analyses, frameworks, and actionable recommendations to senior leadership ● Evaluate and steer business plans encompassing pricing, monetization, roadmap, resourcing, and investment allocation ● Define and analyze key metrics to measure business and financial performance; surface insights that accelerate improvement ● Own end-to-end P&L planning and analysis as well as financial controllership and launch readiness activities Basic Qualifications: - 5+ years of tax, finance or a related analytical field experience - Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Preferred Qualifications: - 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience - MBA, or CPA - Knowledge of SQL/ETL - Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results 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, NY, New York - 104,900.00 - 179,500.00 USD annually USA, WA, SEATTLE - 95,400.00 - 163,200.00 USD annually", "summaryDescription" : "Finance Manager, Amazon Special Projects at Amazon.com Services LLC. Skills: Financial modeling, FP&A, Accounting. Develop financial models. Manage budgeting process", "postedDate" : "2026-06-14T19:42:28.540", "createdAt" : "2026-06-14T19:42:28.540", "lastUpdated" : "2026-06-16T00:38:03.082", "ingestTimestamp" : "2026-06-14T19:42:28.540", "mongoId" : "6a21770a74d8ee00a0c1b9f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435670/apply", "salaryAnnualMin" : 104900, "salaryAnnualMax" : 179500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Budget management", "Forecasting accuracy", "Variance analysis", "Financial reporting", "Financial modeling", "FP&A", "Accounting", "Budgeting", "Forecasting", "Financial planning", "Accounting principles", "CFA", "CPA", "SAP", "Excel", "SQL" ], "skillCount" : 17, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 580.05334, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056e2f292fd229cf304a7", "title" : "Virtual Special Education Teacher", "company" : "Virtual Preparatory Academy of Georgia", "industry" : "Education", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Virtual Special Education Teacher in Georgia, USA, adjusted for mid-seniority and the education industry." }, "location" : "Virtual Preparatory Academy of Georgia", "locations" : [ "Virtual Preparatory Academy of Georgia" ], "certifications" : [ "Georgia teaching license" ], "timestamp" : "2026-06-16T07:29:18.368", "fingerprint" : "f7d24918f8ac6b7abec3c9be9c5e654199e1dc6aeb409067743bd24406341371", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vpageorgia/jobs/7773669003", "externalId" : "7773669003", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Georgia", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Georgia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Microsoft Office, Word, Outlook", "professionalSkills" : [ "Instructional practices", "Instructional program adjustments", "Culturally responsive teaching" ], "hardSkillsList" : [ "Live lesson delivery", "Student progress monitoring", "Data analysis" ], "hardSkills" : [ { "name" : "Live lesson delivery", "level" : "intermediate" }, { "name" : "Student progress monitoring", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Special education, Virtual instruction, Student achievement", "majorSkillsList" : [ "Special education", "Virtual instruction", "Student achievement" ], "coreResponsibilities" : "Serve as teacher of record, Provide superior education, Create rigorous classroom environment, Prioritize student learning, Prioritize social-emotional development, Deliver live lessons, Complete course setup, Monitor student progress, Provide feedback, Grade assignments daily, Track student contact, Maintain student contact, Collaborate with Principal, Create Progress Reports, Deliver Progress Reports, Review student data, Differentiate instruction, Utilize best practices, Create joyful classroom environment, Integrate culturally responsive practices, Implement school-wide culture expectations, Communicate with families, Incorporate technology skills, Participate in planning activities, Implement non-instructional activities, Attend events in person, Collaborate with colleagues, Communicate with colleagues, Travel to support testing, Perform other duties", "teamCollaboration" : "Collaborate with Principal; Collaborate with colleagues", "domainKnowledge" : "Special education; 21st-century curriculum; State Standards; Common Core Standards", "domainList" : [ "special-education", "21st-century-curriculum", "state-standards", "common-core-standards" ], "domainSpecificKnowledge" : [ "Special education", "21st-century curriculum", "State Standards", "Common Core Standards" ], "toolProficiency" : [ "Learning Management System" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Progress Reports", "specialRequirements" : "Travel required, Face to face attendance required, Attend events in person, Travel to support testing", "outcomesObjectives" : "Meet student achievement goals; Meet culture goals; Meet academic accountability goals", "qualificationsBasic" : "Georgia teaching license, Knowledge of State Standards, Knowledge of Common Core Standards, Ability to stand for up to 90 minutes, Ability to supervise students, Ability to pass criminal background checks", "qualificationsPreferred" : "Two years' experience teaching, Experience working in multi-cultural setting", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Team ACCEL Schools is seeking highly-qualified Virtual Teachers who are dedicated to providing a superior education for all students! We are seeking teachers who are excited to create a rigorous and nurturing classroom environment that prioritizes student learning and social-emotional development. ACCEL Schools uses a cutting-edge 21st-century curriculum, which can be accessed online and through a variety of traditional methods. Please note – while this is an online school position and all instruction occurs virtually, travel and face to face attendance will be required several times per year to support in person state testing and student events. Eligibility: Open to residents of Georgia. About the Opportunity Serve as the teacher of record and primary instructor in all core content areas and grade levels Relentlessly work to meet all goals related to student achievement and culture as well as state specific academic accountability goals Deliver highly effective live lessons via web conference based on student need, rooted in research-based instructional practices Complete course set up for each course within the Learning Management System Monitor student progress in asynchronous courses and provide feedback/grade assignments daily Track and maintain contact with each student Collaborate with Principal to create and deliver Progress Reports of Students Review student level data frequently to inform instructional program adjustments Differentiate instruction to meet the needs of all students Utilize research-based best practices in both synchronous and asynchronous instruction Create a joyful, caring, and loving classroom environment for all students Integrate culturally responsive teaching practices into daily lessons and interactions with students, parents, and colleagues Implement school-wide culture expectations and norms, inside the classroom and beyond Communicate regularly with families regarding the academic and social-emotional growth of their child Incorporate 21st century technology skills into daily classroom practice and team settings Participate in the planning and implementation of non-instructional activities such as social events and field trips and attend these events in person Collaborate and communicate effectively, humbly, and respectfully with all colleagues Travel to support required face to face state testing annually Perform other duties as assigned About You Current Georgia teaching license in appropriate content area Knowledge of State Standards and Common Core Standards Preferred two years’ experience teaching High level of comfort working in a growth-focused coaching environment based on frequent observations, debriefs, action planning, and progress monitoring High quality written and verbal communication skills High proficiency in Microsoft Office products including Word and Outlook Ability to properly manage confidential information Ability to stand for up to 90 minutes at a time Ability to supervise students in all school settings Ability to pass federal and state criminal background checks Experience working in a multi-cultural setting preferred About Us “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick-and-mortar, virtual, and hybrid schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities. We offer the following benefits: Compensation and Benefits: The compensation and benefits information below is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.   The annual starting salary for this position is between $50,000 – $55,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Life benefits – time & peace of mind Paid time off Retirement contributions Optional Basic Life and AD&D insurance Voluntary life insurance (employee, spouse, child) Discounted childcare at Early Learning Academies locations Health benefits – stay well & thrive Medical, dental, and vision insurance Employee Assistance Program Voluntary short-term disability insurance Voluntary long-term disability insurance Career benefits – keep growing Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals EQUAL EMPLOYMENT OPPORTUNITY It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists. #LI-BL1", "summaryDescription" : "Virtual Special Education Teacher at Virtual Preparatory Academy of Georgia. Skills: Special education, Virtual instruction, Student achievement. Serve as teacher of record. Provide superior education", "postedDate" : "2026-06-15T23:21:18.492", "createdAt" : "2026-06-15T23:21:18.492", "lastUpdated" : "2026-06-16T07:29:18.368", "ingestTimestamp" : "2026-06-15T23:21:18.492", "mongoId" : "6a3056e2f292fd229cf304a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Live lesson delivery", "Student progress monitoring", "Data analysis", "Special education", "Virtual instruction", "Student achievement", "Instructional practices", "Instructional program adjustments", "Culturally responsive teaching", "21st-century curriculum", "State Standards", "Common Core Standards", "Georgia teaching license", "Learning Management System" ], "skillCount" : 14, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 580.0079, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b29f292fd229cf5a0e2", "title" : "Special Education Teacher", "company" : "South County Academy", "industry" : "Education", "salary" : { "min" : 58000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Special Education Teacher in Exeter, United States, with adjustments for mid-seniority and the education industry." }, "location" : "Exeter, RI", "locations" : [ "Exeter, RI" ], "timestamp" : "2026-06-16T06:56:42.171", "fingerprint" : "a757109f1a1ed3f2d92ee69dc0ae8aaa073b332afaf33bde9a0e15fc30b5b93e", "source" : "jazzhr", "language" : "en", "externalId" : "41fyjfVGQI", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Exeter", "state" : "Rhode Island", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.5774793,-71.5376881" } ], 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"currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:41:15.755", "fingerprint" : "c1404860e72869afb39795af936ae12372495022b604261de6faaeae60145412", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199976/apply", "externalId" : "f0fc3ac8-95e2-4b2f-ab5f-c477ad0e1a9b", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Cloud, Distributed Systems, Geospatial engineering, Weather Science, Traffic Management", "professionalSkills" : [ "Systems engineering", "Technical lead", "Trade studies", "Requirements analysis", "System life cycle", "Regulatory compliance" ], "hardSkillsList" : [ "Systems engineering", "Test strategy", "Test plans", "Requirements verification", "System design", "Regulatory requirements" ], "softSkillsList" : [ "Innovation", "Problem solving" ], "hardSkills" : [ { "name" : "Systems engineering", "level" : "intermediate" }, { "name" : "Test strategy", "level" : "intermediate" }, { "name" : "Test plans", "level" : "intermediate" }, { "name" : "Requirements verification", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Regulatory requirements", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovation" }, { "name" : "Problem solving" } ], "majorSkills" : "Systems engineering, Autonomous systems, Cloud architecture, Traffic management", "majorSkillsList" : [ "Systems engineering", "Autonomous systems", "Cloud architecture", "Traffic management" ], "coreResponsibilities" : "Define safety critical autonomous ground system features, Design safety critical autonomous ground system features, Verify safety critical autonomous ground system features, Launch safety critical autonomous ground system features, Serve as systems engineering lead, Serve as subject matter expert, Lead interdisciplinary trade studies, Determine critical requirements, Generate CONOPs, Generate design documents, Generate interface control documents, Generate requirements, Generate test cases, Generate test procedures, Generate test execution reports, Generate verification reports, Own system life cycle, Take features from concept to production, Review airspace regulations, Review industry standards, Collaborate with cross-functional teams, Define site-specific requirements, Expand automated traffic management system, Validate system adherence, Write verification plan", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Airspace Mission Orchestration System; Safety critical systems; Cloud based systems; Operator interface; Traffic management; Route planning; Geospatial systems; Distributed systems; Airspace regulations; Automated traffic management; Regulatory requirements; Safety requirements", "domainList" : [ "airspace-mission-orchestration-system", "safety-critical-systems", "cloud-based-systems", "operator-interface", "traffic-management", "route-planning", "geospatial-systems", "distributed-systems", "airspace-regulations", "automated-traffic-management", "regulatory-requirements", "safety-requirements" ], "domainSpecificKnowledge" : [ "Airspace Mission Orchestration System", "Safety critical systems", "Cloud based systems", "Operator interface", "Traffic management", "Route planning", "Geospatial systems", "Distributed systems", "Airspace regulations", "Automated traffic management", "Regulatory requirements", "Safety requirements" ], "documentationSkills" : "Interface control documents; Verification reports", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Analytical capabilities", "qualificationsBasic" : "5+ years systems engineering experience, Experience developing test strategies, Experience as a technical lead, Bachelor's degree in technical discipline", "qualificationsPreferred" : "5+ years experience with ARP4754A, 5+ years experience with DO-178C, 5+ years experience with DO-278A, 5+ years experience with DO-254, Geospatial engineering experience, Weather Science experience, Distributed Systems experience, Flight Decks experience, Traffic Management experience, Cloud based software development experience, System design experience, Distributed system architecture experience, Master's degree in related field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve massive-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air team! We are seeking an experienced Sr. Systems Engineer who combines superb technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our engineering teams. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history! Key job responsibilities As a Senior Systems Engineer you will define, design, verify, and launch safety critical autonomous ground system features in a variety of airspace environments. Key responsibilities include: - Serve as the systems engineering lead and subject matter expert for subsystem(s) within the Airspace Mission Orchestration System, containing the safety critical cloud based operator interface, traffic management, communications, route planning, geospatial, and distributed system functions. - Lead interdisciplinary trade studies across Prime Air software, system, product, and regulatory functions to determine the critical requirements for a scalable cloud based system architecture. - Generate key systems engineering artifacts CONOPs, design documents, interface control documents, requirements, test cases, test procedure, test execution, and verification reports. - Own the entire system life cycle, taking features from concept to production in a way that is safe, performant, and certifiable. A day in the life The Senior Systems Engineer begins by reviewing the latest airspace regulations and industry standards. They then collaborate with cross-functional teams to define site-specific requirements for expanding the automated traffic management system to multiple locations within different jurisdictions. This is followed by a deep dive into the compliance matrix, validating the system's adherence to internal and external regulatory and safety requirements. The day concludes with writing a verification plan to ensure critical system requirements are adequately tested. Leveraging technical expertise, analytical skills, and collaboration, the engineer drives the successful integration and deployment of the automated traffic management solution. About the team The systems engineering team is a driven, focused, and experience team of aerospace professionals. Our systems engineering team is driven by a relentless customer obsession, we tackle the toughest technical challenges, turning visions into reality. Our mission is to design, integrate, and verify innovative ground systems that push the boundaries of what's possible. We are a collaborative group of problem-solvers, each bringing unique expertise from aerospace and technology sectors. Our culture is one of ownership and accountability - we take pride in our work and hold ourselves to the highest standards. Basic Qualifications: - Experience developing test strategies and plans for complex hardware/software systems or systems of systems - Experience as a technical lead, systems engineer, or technical program manager with significant experience in complex systems - 5+ years of systems engineering experience - Bachelor's degree in Aerospace, Electrical, Mechanical, Software Engineering, or a related technical discipline Preferred Qualifications: - Master's degree in Aerospace, Computer Science, Engineering, Mathematics, or a related field - 5+ years of experience working in an environment with one or more: ARP4754A, DO-178C, DO-278A, DO-254, or related. - Experience in one or more of the following: Geospatial engineering, Weather Science, Distributed Systems, Flight Decks, or Traffic Management. - Experience in cloud based software development, system design, and/or distributed system architecture. 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, WA, Seattle - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Systems Engineer at Amazon.com Services LLC. Skills: Systems engineering, Autonomous systems, Cloud architecture, Traffic management. Define safety critical autonomous ground system features. Design safety critical autonomous ground system features", "postedDate" : "2026-06-13T04:29:47.689", "createdAt" : "2026-06-13T04:29:47.689", "lastUpdated" : "2026-06-15T02:41:15.755", "ingestTimestamp" : "2026-06-13T04:29:47.689", "mongoId" : "69c94a6b9bc74574cbbb3588", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199976/apply", "salaryAnnualMin" : 151000, "salaryAnnualMax" : 204600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Systems engineering", "Test strategy", "Test plans", "Requirements verification", "System design", "Regulatory requirements", "Innovation", "Problem solving", "Autonomous systems", "Cloud architecture", "Traffic management", "Technical lead", "Trade studies", "Requirements analysis", "System life cycle", "Regulatory compliance", "Airspace Mission Orchestration System", "Safety critical systems", "Cloud based systems", "Operator interface", "Route planning", "Geospatial systems", "Distributed systems", "Airspace regulations", "Automated traffic management", "Safety requirements" ], "skillCount" : 26, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 577.4726, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "6a2c6bcf74d8ee00a0914cbd", "title" : "HPC Systems Engineer, Modeling & Simulation", "company" : "Anduril Industries", "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-15T09:42:53.742", "fingerprint" : "6c55c238a47d1f700dbf14b6793bdf9d975c8789aa4374b6b971c34998f2a783", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5154234007?gh_jid=5154234007", "externalId" : "5154234007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Costa Mesa, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, computer vision, sensor fusion, networking", "professionalSkills" : [ "DOE, DoD, NNSA, or classified computing experience strongly preferred." ], "hardSkillsList" : [ "Slurm", "HPC scheduling", "cluster management" ], "hardSkills" : [ { "name" : "Slurm", "level" : "intermediate" }, { "name" : "HPC scheduling", "level" : "intermediate" }, { "name" : "cluster management", "level" : "intermediate" } ], "majorSkills" : "HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology", "majorSkillsList" : [ "HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology" ], "coreResponsibilities" : "Develop tools that improve analyst, researcher, or engineering productivity.", "teamCollaboration" : "Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment.", "toolProficiency" : [ "Slurm" ], "problemSolvingSkills" : "system design", "specialRequirements" : "Highly competitive equity grants are included in the majority of full time and are considered part of Anduril's total compensation package.", "outcomesObjectives" : "As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.", "qualificationsBasic" : "Experience with Slurm or comparable HPC scheduling and cluster management tools.", "qualificationsPreferred" : "DOE, DoD, NNSA, or classified computing experience strongly preferred. Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Team The Lethality Modeling DOE, DoD, NNSA, or classified computing experience strongly preferred Experience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environment Experience with Slurm or comparable HPC scheduling and cluster management tools Experience developing tools that improve analyst, researcher, or engineering productivity US Salary Range $132,000—$198,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "HPC Systems Engineer, Modeling & Simulation at Anduril Industries. Skills: HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology. Develop tools that improve analyst, researcher, or engineering productivity.", "postedDate" : "2026-06-14T20:01:04.151", "createdAt" : "2026-06-14T20:01:04.151", "lastUpdated" : "2026-06-15T09:42:53.742", "ingestTimestamp" : "2026-06-14T20:01:04.151", "mongoId" : "6a2c6bcf74d8ee00a0914cbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Slurm", "HPC scheduling", "cluster management", "HPC Systems Engineer, Modeling & Simulation, Slurm, defense technology", "DOE, DoD, NNSA, or classified computing experience strongly preferred." ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 574.909, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Defense", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f9774d8ee00a0955c42", "title" : "Seamstress (Special Services)", "company" : "SanMar-Internal", "industry" : "Outdoor & Apparel", "salary" : { "min" : 31000.0, "max" : 42000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Seamstress in Ashland, United States, adjusted for the retail industry and company size." }, "location" : "Ashland, VA", "locations" : [ "Ashland", "VA" ], "timestamp" : "2026-06-15T09:38:15.541", "fingerprint" : "d43393a4bb1c72c447aaf7eb328125cb41c11223e3716e8f1793ea4fcf4fdf0d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sanmaremployeeopenings/jobs/5163324007", "externalId" : "5163324007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ashland", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7594012,-77.4806603" } ], "locationText" : "Ashland, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Measuring garments", "Operating sewing machine", "Assembling samples", "Operating swatch press", "Operating grommet punch", "Operating paper cutter" ], "hardSkills" : [ { "name" : "Measuring garments", "level" : "intermediate" }, { "name" : "Operating sewing machine", "level" : "intermediate" }, { "name" : "Assembling samples", "level" : "intermediate" }, { "name" : "Operating swatch press", "level" : "intermediate" }, { "name" : "Operating grommet punch", "level" : "intermediate" }, { "name" : "Operating paper cutter", "level" : "intermediate" } ], "majorSkills" : "Specialized order processing, Garment measurement, Sewing machine operation, Customer service", "majorSkillsList" : [ "Specialized order processing", "Garment measurement", "Sewing machine operation", "Customer service" ], "coreResponsibilities" : "Operate internal systems, Communicate daily with leadership and coworkers, Process specialized customer orders accurately and efficiently, Accurately measure garments, Operate a sewing machine to complete special orders, Answer customer inquiries over the phone, via email, Maintain accurate department records, Research and enter external and internal errors for, Neatly fold and gift packages customer items, Assemble color swatch samples, Maintain an on-hand inventory of swatch cards, Safely operate the swatch press, grommet punch and, Communicate with corporate representative for special services department, Communicate with account executives to discuss how to, Assist with employee inquiries, Train staff, Check out equipment and return in same condition", "teamCollaboration" : "Communicate with leadership; Communicate with coworkers; Communicate with corporate representative; Communicate with account executives", "domainKnowledge" : "Apparel decoration methods; SanMar product offerings", "domainList" : [ "apparel-decoration-methods", "sanmar-product-offerings" ], "domainSpecificKnowledge" : [ "Apparel decoration methods", "SanMar product offerings" ], "toolProficiency" : [ "High Jump", "Ody" ], "communicationSkills" : "Customer inquiries; Verbal communication; Written communication", "documentationSkills" : "Department records", "specialRequirements" : "Constantly required to stand, walk, talk and hear, Frequently lifts and/or moves up to 60 pounds, Frequently uses both hands as well as full range of motion of the neck, head and back, Frequently required to reach with hands and arms, grasp and perform repetitive hand, wrist and arm motions, Frequently required to climb stairs, kneel/squat, bend and carry, Specific vision abilities required, May be required to wear a headset covering one or both ears, Basic literacy is required, Work environment is moderately noisy, Occasionally required to work near conveyor systems, Exposure to dust, Exposure to changes in weather conditions, Work is performed under typical warehouse conditions, Potential hazards exist with regard to machinery, Work environment is hectic and fast-paced, Regularly exposed to ambient lighting, Can be exposed to extreme heat and extreme cold, Paid Time Off, 8 paid holidays, 1 paid family day off, Comprehensive medical, dental, and vision benefits, 401k plan and matches, Life insurance, Short/long-term disability coverage, Paid maternity/paternity leave, Pet insurance", "qualificationsBasic" : "Ability to read, write and have sufficient ability to identify colors, sizes, quantity, label and SKU information, Demonstrated ability to follow directions and change priorities or job duties as business needs require, Excellent history in delivering outstanding customer service, Excellent organization, ability to multi-task and prioritize daily responsibilities, Positive attitude and high energy level, with ability to foster positivity throughout our DC, Ability to work efficiently, with minimal supervision, Ability to work under pressure, and adhere to meeting customer deadlines, Ability to learn about SanMar’s product offerings, Ability to learn about apparel decoration methods, Must maintain an excellent attendance and punctuality record, Able to work both independently and within a team, Demonstrated verbal and written communication skills, Essential days or overtime may be required", "qualificationsPreferred" : "High School Diploma or equivalent Preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Address: 10462 Hickory Hill Road Ashland, VA 23005 Shift: Monday through Friday 8:00 a. m. to 4:30 p. m. What's the Short Version? Special Services is responsible for processing, packaging, and shipping out specialized orders to include but not limited to product samples, corporate gifts, thank you cards and new and prospective customer product information packets. What Will You Be Doing? Operate internal systems that store customer information, such as High Jump and Ody. Communicate daily with leadership and coworkers to process specialized customer orders accurately and efficiently. Responsible for accurately measuring garments and operating a sewing machine to complete special orders. Answer customer inquiries over the phone, via email and in person. Maintain accurate department records, researches and enters external and internal errors for stats. Neatly fold and gift packages customer items. Assemble color swatch samples, maintains an on-hand inventory of swatch cards. Safely operate the swatch press, grommet punch and paper cutter. Communicate when necessary, with corporate representative for special services department supplies. May communicate with account executives on a professional level, to discuss how to conclude incomplete orders. May assist with employee inquires and train staff. Responsible for checking out equipment and returning in same condition. What Are We Looking For? High School Diploma or equivalent Preferred Ability to read, write and have sufficient ability to identify colors, sizes, quantity, label and SKU information Demonstrated ability to follow directions and change priorities or job duties as business needs require Excellent history in delivering outstanding customer service Excellent organization, ability to multi-task and prioritize daily responsibilities Positive attitude and high energy level, with ability to foster positivity throughout our DC Ability to work efficiently, with minimal supervision Ability to work under pressure, and adhere to meeting customer deadlines Ability to learn about SanMar’s product offerings Ability to learn about apparel decoration methods Must maintain an excellent attendance and punctuality record Able to work both independently and within a team Demonstrated verbal and written communication skills Essential days or overtime may be required What's Our Offer? Paid Time Off: You`ll accrue paid time off on a weekly basis based on hours worked up to 112 hours per year to start. Employees also receive 8 paid holidays and 1 paid family day off. Additional Benefits: Comprehensive medical, dental, and vision benefits 401k plan and matches $1 for $1 up to 4% of earnings, matched & vested at every pay cycle Life insurance Short/long-term disability coverage Paid maternity/paternity leave Pet insurance What Should You Expect? DC Warehouse (Non-Equipment): While performing the duties of this job, the employee is constantly required to stand, walk, talk and hear. The employee frequently lifts and/or moves up to 60 pounds. The employee frequently uses both hands as well as full range of motion of the neck, head and back. The employee is frequently required to reach with hands and arms, grasp and perform repetitive hand, wrist and arm motions. The employee is frequently required to climb stairs, kneel/squat, bend and carry. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and ability to adjust focus. Employee may be required to wear a headset covering one or both ears. Basic literacy is required for operation of machines and necessary daily paperwork. Work environment is moderately noisy. The employee is occasionally required to work near conveyor systems. There is exposure to dust and changes in weather conditions. Work is performed under typical warehouse conditions. Potential hazards exist with regard to machinery such as forklifts, pallet jacks, mechanized systems, etc. Work environment is hectic and fast-paced. The employee is regularly exposed to ambient lighting and can be exposed to extreme heat and extreme cold including climates consistent with outside weather conditions.", "summaryDescription" : "Seamstress (Special Services) at SanMar-Internal. Skills: Specialized order processing, Garment measurement, Sewing machine operation, Customer service. Operate internal systems. Communicate daily with leadership and coworkers", "postedDate" : "2026-06-13T21:05:11.943", "createdAt" : "2026-06-13T21:05:11.943", "lastUpdated" : "2026-06-15T09:38:15.541", "ingestTimestamp" : "2026-06-13T21:05:11.943", "mongoId" : "6a2c7f9774d8ee00a0955c42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31000, "salaryAnnualMax" : 42000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Measuring garments", "Operating sewing machine", "Assembling samples", "Operating swatch press", "Operating grommet punch", "Operating paper cutter", "Specialized order processing", "Garment measurement", "Sewing machine operation", "Customer service", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Apparel decoration methods", "SanMar product offerings", "High Jump", "Ody" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 574.61993, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c783674d8ee00a093e5b9", "title" : "Autonomous Vehicle Operator", "industry" : "Business Operations", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Autonomous Vehicle Operator in Houston, adjusted for mid-seniority and the technology industry." }, "location" : "Houston, TX", "locations" : [ "Houston, TX" ], "certifications" : [ "Valid U. S. driver's license" ], "timestamp" : "2026-06-16T00:57:30.909", "fingerprint" : "fb13f1c9880767efdf818ace1081f556dfe14516b7c57a52b87f83db56aca468", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/isee/652062e1-1c9b-4436-8b1a-ada67c1a1cbb/apply", "externalId" : "652062e1-1c9b-4436-8b1a-ada67c1a1cbb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "technicalSkills" : "Linux, Google Suite, Jira, Slack, Git", "professionalSkills" : [ "Technical acumen", "Technical aptitude" ], "hardSkillsList" : [ "Troubleshooting", "Log data review", "System failure analysis", "Disengagement analysis", "Diagnostic tree updates" ], "softSkillsList" : [ "Independent operation" ], "hardSkills" : [ { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Log data review", "level" : "intermediate" }, { "name" : "System failure analysis", "level" : "intermediate" }, { "name" : "Disengagement analysis", "level" : "intermediate" }, { "name" : "Diagnostic tree updates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent operation" } ], "majorSkills" : "Autonomous vehicle operation, Real-time monitoring, Troubleshooting", "majorSkillsList" : [ "Autonomous vehicle operation", "Real-time monitoring", "Troubleshooting" ], "coreResponsibilities" : "Monitor Autonomous Yard Trucks, Support Autonomous Yard Trucks, Provide troubleshooting technical support, Review log data, Isolate issues, Track issues, Document issues, Triage issues, Update knowledge base, Update diagnostic trees, Interact with customers", "teamCollaboration" : "Interact with customers", "domainKnowledge" : "Autonomous vehicle systems; Automotive systems", "domainList" : [ "autonomous-vehicle-systems", "automotive-systems" ], "domainSpecificKnowledge" : [ "Autonomous vehicle systems", "Automotive systems" ], "toolProficiency" : [ "Google Suite", "Jira", "Slack", "Git" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation", "continuousLearning" : "Learn new software; Learn new processes", "problemSolvingSkills" : "Troubleshooting; Isolate issues; Track issues; Document issues; Triage issues", "specialRequirements" : "Work in moving vehicle, Work outdoors, Rotating shifts, Travel up to 2 months", "outcomesObjectives" : "Maximize troubleshooting efficiency", "qualificationsBasic" : "At least 21 years of age, At least 5 years of driving experience, Valid U. S. driver's license, Clean driving history, Pass a criminal background check, Pass safety and performance checkpoints", "qualificationsPreferred" : "Familiarity with Linux, Familiarity with Google Suite, Familiarity with Jira, Familiarity with Slack, Familiarity with Git", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Responsibilities Monitor and support Autonomous Yard Trucks in real-time during operations Provide troubleshooting technical support for any HW or SW issues that occur on prototype vehicles Review log data of system failures and disengagements of autonomy system Isolate, track, document, and triage issues systematically Update knowledge base and diagnostic trees to maximize troubleshooting efficiency Interact with our customers as an ambassador for ISEE’s technology ## Qualifications At least 21 years of age and at least 5 years of driving experience The ability to operate independently with little or no supervision Excellent written and verbal communication Technical acumen and familiarity with Linux, Google Suite, Jira, Slack, and Git are preferred Strong technical aptitude and ability to quickly learn new software and processes Proven interest and technical capability to work with modern automotive systems Experience in a professional work environment where safety, honesty, procedure, and/or software testing is emphasized Detail-oriented mindset with a focus on safety and procedure Ability to work in close quarters in a professional manner for extended periods of time Must have a valid U. S. driver's license and clean driving history, validated by a regular MVR check Must continually pass safety and performance checkpoints for continued employment Pass a criminal background check Use a laptop in a moving vehicle for up to 10 hours per day Work in outdoor conditions for up to 10 hours per day Able to work on rotating shifts, including nights, weekends, early mornings, and holidays Ability to travel for up to 2 months", "summaryDescription" : "Autonomous Vehicle Operator. Skills: Autonomous vehicle operation, Real-time monitoring, Troubleshooting. Monitor Autonomous Yard Trucks. Support Autonomous Yard Trucks", "postedDate" : "2026-06-12T13:41:56.084", "createdAt" : "2026-06-12T13:41:56.084", "lastUpdated" : "2026-06-16T00:57:30.909", "ingestTimestamp" : "2026-06-14T21:37:13.001", "mongoId" : "6a2c783674d8ee00a093e5b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Troubleshooting", "Log data review", "System failure analysis", "Disengagement analysis", "Diagnostic tree updates", "Independent operation", "Autonomous vehicle operation", "Real-time monitoring", "Technical acumen", "Technical aptitude", "Autonomous vehicle systems", "Automotive systems", "Valid U. S. driver's license", "Google Suite", "Jira", "Slack", "Git" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 574.60724, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305198f292fd229cf02f3c", "title" : "Sr Specialist, Special Tools and Workshop Equipment", "company" : "Scout Motors", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Columbia, South Carolina, United States", "locations" : [ "Columbia", "South Carolina", "United States" ], "timestamp" : "2026-06-16T11:04:16.391", "fingerprint" : "292c6ee141ac5522c06598e30bd3d7a2344ba8b1561377e72ef501bb4d259bc5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5159039007", "externalId" : "5159039007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0007540,-81.0352313" } ], "locationText" : "Columbia, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Analyze repair concepts for Scout vehicles (new programs, technologies, and engineering changes) to define requirements for special tools and workshop equipment, ensuring repair quality and operational efficiency across workshops and mobile services. Drive early serviceability integration by collaborating with Engineering to ensure tool requirements are identified and validated during vehicle development phases. Evaluate and define make-or-buy strategies for special tools and equipment supporting Scout Motors workshops, mobile services, and third-party partners. Lead the design, development, validation, and release of new special tools and workshop equipment. Establish and maintain global standards and specifications for workshop tools and equipment to ensure consistency across markets. Conduct technical assessments to support Purchasing in the selection and qualification of suppliers, including cost, quality, and scalability considerations. Own the lifecycle management of special tools (introduction, updates, obsolescence, and replacement strategies). .Coordinate the inclusion and governance of tools and equipment within official catalogues and digital systems (e.g., integration with parts and workshop information media). Ensure compliance with legal, homologation, safety, and product regulatory requirements across all markets. Define and implement tool validation processes, including field testing, durability, and usability in real workshop conditions. Support digitalization initiatives, enabling integration of tools with diagnostics, connected services, and future AI-enabled workshop solutions. Develop and maintain technical documentation and training concepts for special tools and equipment (usage, maintenance, calibration, safety). Provide technical support to workshops and mobile services on tool usage, diagnostics, maintenance, and warranty topics. Monitor field feedback and repair data to continuously improve tool design, usability, and effectiveness. Collaborate cross-functionally with Engineering, Aftersales, Quality, and Operations to ensure closed-loop feedback into product and process improvements. Contribute to budget planning and cost optimization for special tools and workshop equipment programs. Location & Travel Expectations: This role will be based out of the Scout Motors location in Columbia, South Carolina. This role requires 4-5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: The role requires regular attendance at meetings and events in other Scout locations, such as Novi, MI, and Fremont, CA. Domestic and international travel is expected for approximately 10% of working days, with potentially more frequent international travel for training and coordination during the first two years. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Bachelor's degree in a relevant field such as Mechanical Engineering, Automotive Engineering, Information Technology, Technical Communication or related field. Several years of experience in Special tools and workshop equipment. Strong understanding of vehicle technologies, repair concepts, and technical documentation. Familiarity with automotive engineering principles. Proficiency in managing multiple projects, prioritizing tasks, and meeting deadlines. Proven ability to identify complex problems, develop innovative solutions, and implement effective strategies to address challenges. Strong critical thinking and decision-making skills to navigate ambiguous situations and drive results. Ability to work independently and collaboratively as part of a team. What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = 130,000.00 - $160,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. 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Collaborate with colleagues", "domainKnowledge" : "Special Education; 21st-century curriculum; State Standards; Common Core Standards", "domainList" : [ "special-education", "21st-century-curriculum", "state-standards", "common-core-standards" ], "domainSpecificKnowledge" : [ "Special Education", "21st-century curriculum", "State Standards", "Common Core Standards" ], "toolProficiency" : [ "Learning Management System" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Progress Reports", "specialRequirements" : "Travel required, Face to face attendance required, Stand for 90 minutes, Supervise students, Pass background checks", "outcomesObjectives" : "Meet student achievement goals; Meet culture goals; Meet academic accountability goals", "qualificationsBasic" : "Georgia teaching license, Knowledge of State Standards, Knowledge of Common Core Standards, Ability to manage confidential information, Ability to stand for 90 minutes, Ability to supervise students, Pass federal and state background checks", "qualificationsPreferred" : "Two years' experience teaching, Experience working in multi-cultural setting", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Team ACCEL Schools is seeking highly-qualified Virtual Teachers who are dedicated to providing a superior education for all students! We are seeking teachers who are excited to create a rigorous and nurturing classroom environment that prioritizes student learning and social-emotional development. ACCEL Schools uses a cutting-edge 21st-century curriculum, which can be accessed online and through a variety of traditional methods. Please note – while this is an online school position and all instruction occurs virtually, travel and face to face attendance will be required several times per year to support in person state testing and student events. Eligibility: Open to residents of Georgia. About the Opportunity Serve as the teacher of record and primary instructor in all core content areas and grade levels Relentlessly work to meet all goals related to student achievement and culture as well as state specific academic accountability goals Deliver highly effective live lessons via web conference based on student need, rooted in research-based instructional practices Complete course set up for each course within the Learning Management System Monitor student progress in asynchronous courses and provide feedback/grade assignments daily Track and maintain contact with each student Collaborate with Principal to create and deliver Progress Reports of Students Review student level data frequently to inform instructional program adjustments Differentiate instruction to meet the needs of all students Utilize research-based best practices in both synchronous and asynchronous instruction Create a joyful, caring, and loving classroom environment for all students Integrate culturally responsive teaching practices into daily lessons and interactions with students, parents, and colleagues Implement school-wide culture expectations and norms, inside the classroom and beyond Communicate regularly with families regarding the academic and social-emotional growth of their child Incorporate 21st century technology skills into daily classroom practice and team settings Participate in the planning and implementation of non-instructional activities such as social events and field trips and attend these events in person Collaborate and communicate effectively, humbly, and respectfully with all colleagues Travel to support required face to face state testing annually Perform other duties as assigned About You Current Georgia teaching license in appropriate content area Knowledge of State Standards and Common Core Standards Preferred two years’ experience teaching High level of comfort working in a growth-focused coaching environment based on frequent observations, debriefs, action planning, and progress monitoring High quality written and verbal communication skills High proficiency in Microsoft Office products including Word and Outlook Ability to properly manage confidential information Ability to stand for up to 90 minutes at a time Ability to supervise students in all school settings Ability to pass federal and state criminal background checks Experience working in a multi-cultural setting preferred About Us “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick-and-mortar, virtual, and hybrid schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities. We offer the following benefits: Compensation and Benefits: The compensation and benefits information below is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.   The annual starting salary for this position is between $50,000 – $55,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Life benefits – time & peace of mind Paid time off Retirement contributions Optional Basic Life and AD&D insurance Voluntary life insurance (employee, spouse, child) Discounted childcare at Early Learning Academies locations Health benefits – stay well & thrive Medical, dental, and vision insurance Employee Assistance Program Voluntary short-term disability insurance Voluntary long-term disability insurance Career benefits – keep growing Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals EQUAL EMPLOYMENT OPPORTUNITY It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists. #LI-BL1", "summaryDescription" : "Virtual Special Education Teacher at ACCEL Schools. Skills: Special Education, Virtual instruction, Student achievement. Serve as teacher of record. 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Senior technical leaders; Senior product leaders; Electrical contributors; Mechanical contributors; Software contributors", "projectManagementSkills" : [ "Scheduling", "Budgeting", "Procurement", "Progress reporting", "Milestones", "Deliverables", "Resource constraints", "Ambiguous ideas", "Structured plans" ], "domainKnowledge" : "Autonomy at sea; Maritime operations; Autonomous platforms; Intelligent platforms; Maritime superiority; Robotics; Aerospace; Defense; Hardware-intensive environment; Defense acquisition; Export controls; Classified program management", "domainList" : [ "autonomy-at-sea", "maritime-operations", "autonomous-platforms", "intelligent-platforms", "maritime-superiority", "robotics", "aerospace", "defense", "hardware-intensive-environment", "defense-acquisition", "export-controls", "classified-program-management" ], "domainSpecificKnowledge" : [ "Autonomy at sea", "Maritime operations", "Autonomous platforms", "Intelligent platforms", "Maritime superiority", "Robotics", "Aerospace", "Defense", "Hardware-intensive environment", "Defense acquisition", "Export controls", "Classified program management" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Pathfinding team; Rapidly prototype; Generating new ideas; Building prototypes; Testing prototypes; Validating future products", "problemSolvingSkills" : "Bias toward action", "specialRequirements" : "Occasional travel, U.S. Person status required", "qualificationsBasic" : "Experience managing small engineering teams, Working technical literacy, Ability to plan and execute against budgets, Bachelors degree in engineering or equivalent experience, Comfort operating with high uncertainty", "qualificationsPreferred" : "Experience supporting prototype hardware development, Familiarity with defense acquisition, Familiarity with export controls, Familiarity with classified program management", "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Saronic Special Programs is a small pathfinding team chartered to rapidly prototype new ideas. Special Programs is responsible for generating new ideas, building and testing physical prototypes, and validating future products which continue Saronic's mission to redefine maritime superiority. JOB OVERVIEW We are seeking a Special Programs Manager to serve as the administrative and operational backbone of our team. You will be responsible for keeping projects on track, managing resources and budgets, and creating the conditions for a small, talented group of engineers to move quickly. While this is not a hands-on engineering role, you will provide high-level technical direction during prototype reviews and partner closely with the VP of Product and CTO to evaluate and shape the next wave of ideas the team will pursue. RESPONSIBILITIES - Provide day-to-day administrative management of the Special Programs team, including scheduling, staffing, budgets, procurement, vendor coordination, and progress reporting. - Plan and track prototype builds, field testing, and demonstrations, ensuring milestones, deliverables, and resources stay aligned across electrical, mechanical, and software contributors. - Offer focused technical input during design reviews and prototype check-ins — enough to challenge assumptions, unblock the team, and translate progress to non-engineering stakeholders - Collaborate directly with the VP of Product and the CTO to surface, scope, and prioritize new ideas the team should consider pursuing, and keep Special Programs work synchronized with the broader product roadmap - Represent Special Programs internally to functions such as Growth, Finance, and Engineering, and externally as needed to suppliers and Government or commercial customers. QUALIFICATIONS - Experience managing small, fast-moving engineering or R&D teams, ideally in robotics, aerospace, defense, or another hardware-intensive environment - Working technical literacy across some combination of autonomy, embedded systems, robotics, electrical engineering, or mechanical engineering — enough to lead substantive conversations with engineers without being the deepest expert in the room - Demonstrated ability to plan and execute against budgets, schedules, and resource constraints with limited overhead - Comfort partnering with senior technical and product leaders to evaluate new opportunities and translate ambiguous ideas into structured plans - Experience supporting prototype hardware development, field testing, or Government demonstrations is strongly preferred - Familiarity with defense acquisition, export controls, or classified program management is a plus - Excellent written and verbal communication skills, with the ability to keep cross-functional stakeholders aligned - High emotional intelligence, with the ability to keep teammates aligned - Strong organizational instincts and a bias toward action in ambiguous, low-process environments - Bachelors degree in engineering, or equivalent professional experience - Comfort operating with high uncertainty, minimal resources, compressed timelines, and aggressive goals and schedules PHYSICAL DEMANDS - Prolonged periods of sitting at a desk and working on a computer. - Occasional standing and walking within the office, lab, and prototype spaces. - Manual dexterity to operate a computer keyboard, mouse, and other office equipment. - Visual acuity to read screens, documents, and reports. - Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies. - Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages). - Occasional travel to field test sites and Government demonstrations. BENEFITS - Medical Insurance: Comprehensive health insurance plans covering a range of services - Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care - Saronic pays 100% of the premium for employees and 80% for dependents - Time Off: Generous PTO and Holidays - Parental Leave: Paid maternity and paternity leave to support new parents - Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses - Retirement Plan: 401(k) plan - Stock Options: Equity options to give employees a stake in the company's success - Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage - Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Manager - Special Programs at Saronic Technologies. Skills: Prototype development, Technical direction, Program management. Provide administrative management. 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PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform

PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform

Speakers on Global Talent Acquisition Topics

Sr. Applied Scientist, Special Projects

Working Student Autonomous Driving Research

Applied Scientist II, Sponsored Products Autonomous Campaigns

Special Education Teacher

Special Education Teacher

Special Projects Lead

Assistant Director of Special Education - Student Data & Compliance

Autonomous Vehicle Test Operator (CDL-A) 1st Shift (6-Month Temporary)

Power Markets Modelling and Insights Lead

Senior Consultant for Topic NERD

Senior Consultant for Topic NERD

Senior Product Manager (Special Hires)

Senior Product Manager (Special Hires)

Senior Product Manager (Special Hires)

Autonomous Operations Specialist, Equipment Operator