{ "count" : 23461, "data" : [ { "id" : "6a307f0ef292fd229c054cea", "title" : "Senior ML Engineer, Foundation Models", "company" : "Chef Robotics", "industry" : "Autonomy", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T15:51:07.505", "fingerprint" : "a5fc2c8f2eaf8f7150cb880ff9a6fc57ffa24e7e4a5e249ff5b5b3db2163f0a9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/ChefRobotics/a4c25a10-b811-4002-b0c9-4319bdee14a3/apply", "externalId" : "a4c25a10-b811-4002-b0c9-4319bdee14a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "VLAs, World models, JEPA, Diffusion models, Transformers, PyTorch", "professionalSkills" : [ "System design", "Research engineering" ], "hardSkillsList" : [ "Policy learning", "Generative modeling", "Robot learning", "Model training", "Fine-tuning", "Alignment pipelines", "Evaluation frameworks", "Data infrastructure", "Model serving", "Large-scale distributed training", "Synthetic data generation", "Domain randomization", "Performance profiling" ], "hardSkills" : [ { "name" : "Policy learning", "level" : "intermediate" }, { "name" : "Generative modeling", "level" : "intermediate" }, { "name" : "Robot learning", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Alignment pipelines", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Large-scale distributed training", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" }, { "name" : "Domain randomization", "level" : "intermediate" }, { "name" : "Performance profiling", "level" : "intermediate" } ], "majorSkills" : "Foundation Models, Robot learning, MLOps", "majorSkillsList" : [ "Foundation Models", "Robot learning", "MLOps" ], "coreResponsibilities" : "Define architecture for Food Foundation Model, Define training objectives for Food Foundation Model, Define learning approach for Food Foundation Model, Investigate foundation model architectures, Evaluate foundation model architectures, Assess applicability of models, Design pre-training pipelines, Design fine-tuning pipelines, Design alignment pipelines, Develop evaluation frameworks, Measure real-world generalization, Measure long-horizon reliability, Collaborate on training data requirements, Collaborate on augmentation strategies, Collaborate on model serving constraints, Stay current with research frontier, Read recent work, Critically evaluate recent work, Form views on relevance", "teamCollaboration" : "Data teams; Platform teams", "domainKnowledge" : "Deformable food manipulation; Robot manipulation; Policy learning; Generative modeling; World models; Food robotics; Physical AI", "domainList" : [ "deformable-food-manipulation", "robot-manipulation", "policy-learning", "generative-modeling", "world-models", "food-robotics", "physical-ai" ], "domainSpecificKnowledge" : [ "Deformable food manipulation", "Robot manipulation", "Policy learning", "Generative modeling", "World models", "Food robotics", "Physical AI" ], "toolProficiency" : [ "MuJoCo", "Isaac Sim", "Genesis", "ONNX", "TensorRT" ], "outcomesObjectives" : "Serve millions of meals", "qualificationsBasic" : "MS or PhD in Machine Learning, Robotics, Computer Science, or related field, 5+ years experience implementing and deploying ML models for robotics, Hands-on experience with large-scale model training, Solid software engineering fundamentals", "qualificationsPreferred" : "Experience with world models or generative models, Familiarity with simulation environments, Experience deploying models to edge hardware, Prior work with contact-rich manipulation, Publications at top venues", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles can't be offshored, making robotics essential to keeping production onshore and strengthening America's manufacturing base. Our AI-powered robots automate food prep and assembly in commercial kitchens and food manufacturing, and have already produced over 110 million meals in production — generating the world's largest proprietary dataset for deformable food manipulation. Backed by investors including Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen. About the Role The next leap in food robotics won't come from hand-tuned policies for individual ingredients — it will come from foundation models that generalize across thousands of food types, kitchen configurations, and manipulation scenarios out of the box. At Chef, we're building that model: the Food Foundation Model. As a Senior ML Engineer, Foundation Models, you will work at the frontier of large-scale robot learning: training and fine-tuning the Food Foundation Model, building the data infrastructure that feeds it, and deploying it onto physical robots in production kitchens. You'll bridge research and engineering — translating advances from the latest policy learning, generative modeling, and world model literature into systems that handle real food, with real end effectors, at real throughput. Your models won't just benchmark well; they'll serve millions of meals. We are a small, high-ownership team. We work onsite five days a week and move with startup urgency. ## In this role, you will Define the architecture, training objectives, and learning approach for the Food Foundation Model — evaluating tradeoffs across generalization, sample efficiency, and deployment constraints Investigate and evaluate the latest foundation model architectures — including VLAs, world models, JEPA-style joint embedding models, diffusion policies, and emerging approaches — and assess their applicability to Chef's manipulation and generalization challenges Design pre-training, fine-tuning, and alignment pipelines that improve the model's ability to generalize across new food types, kitchen configurations, and end effector types with minimal retraining Develop evaluation frameworks that measure real-world generalization and long-horizon reliability — not just offline benchmark accuracy Collaborate with the data and platform teams on training data requirements, augmentation strategies, and model serving constraints Stay current with the research frontier — reading and critically evaluating recent work from CoRL, RSS, NeurIPS, ICML, and ICLR and forming clear views on what's relevant to production manipulation ## What You Bring MS or PhD in Machine Learning, Robotics, Computer Science, or a related field — or equivalent industry experience 5+ years of experience implementing and deploying ML models for real-world robotics applications Hands-on experience with large-scale model training: pre-training, fine-tuning, and post-training alignment pipelines Familiarity with modern policy and generative model architectures — diffusion models, transformers, behavior cloning, or large-scale multimodal models Strong PyTorch skills and experience building reliable, production-quality training and evaluation infrastructure Solid software engineering fundamentals in Python; able to write maintainable code across research and production codebases Track record of taking models from research prototype to deployed system on physical hardware ## Nice-to-have Experience with world models or generative models for robot planning and prediction Background in large-scale distributed training (multi-node GPU clusters, FSDP, DeepSpeed) Familiarity with simulation environments (MuJoCo, Isaac Sim, Genesis) for synthetic data generation and domain randomization Experience deploying models to edge hardware (ONNX, TensorRT, quantization, performance profiling) Prior work with contact-rich manipulation, deformable object handling, or food robotics Publications at top venues: CoRL, RSS, ICRA, NeurIPS, ICML, ICLR ## Additional Information Chef Robotics is solving one of the hardest problems in AI and robotics — and we ship. Our robots are in production today, generating real data that trains the next generation of food AI. Backed by Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, we're scaling fast with multiple multi-year enterprise contracts. If you want to build physical AI with real-world deployments and real impact, Chef is the place. ", "summaryDescription" : "Senior ML Engineer, Foundation Models at Chef Robotics. Skills: Foundation Models, Robot learning, MLOps. Define architecture for Food Foundation Model. Define training objectives for Food Foundation Model", "postedDate" : "2026-06-15T22:02:50.437", "createdAt" : "2026-06-15T22:02:50.437", "lastUpdated" : "2026-06-16T15:51:07.505", "ingestTimestamp" : "2026-06-16T03:27:03.930", "mongoId" : "6a307f0ef292fd229c054cea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Policy learning", "Generative modeling", "Robot learning", "Model training", "Fine-tuning", "Alignment pipelines", "Evaluation frameworks", "Data infrastructure", "Model serving", "Large-scale distributed training", "Synthetic data generation", "Domain randomization", "Performance profiling", "Foundation Models", "MLOps", "System design", "Research engineering", "Deformable food manipulation", "Robot manipulation", "World models", "Food robotics", "Physical AI", "MuJoCo", "Isaac Sim", "Genesis", "ONNX", "TensorRT" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1069.799, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f69f292fd229c058edc", "title" : "Regional Product Lead, Foundation Measurement, Scaled", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product role in Singapore, adjusted for the technology industry and a large company size." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]" ], "timestamp" : "2026-06-16T11:29:08.701", "fingerprint" : "1250542a217e05bc0180f693455188365933556f38f12efdbfc41029d427a13c", "source" : "google", "language" : "en", "externalId" : "114151185580991174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate cross-functionally", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : false, "summaryDescription" : "Regional Product Lead, Foundation Measurement, Scaled. 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D. in Computer Science, Experience with reinforcement learning, Familiarity with MLOps best practices, Familiarity with data parallelisms, Familiarity with model parallelisms, Familiarity with context parallelisms, Familiarity with self-supervised learning, Familiarity with representation learning, Familiarity with downstream task fine tuning", "workSiteFlexibility" : "Onsite", "rawDescription" : "WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Staff AI/ML Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a staff individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Experience building and scaling large datasets and training large models in mulit-node, multi-gpu distributed compute environments. - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.). - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $215,000 - $260,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Staff AI/ML Researcher (Foundation AI) at WHOOP. Skills: Foundation models, Deep learning, Multimodal models. Design foundation models. Train foundation models", "createdAt" : "2026-06-13T23:04:57.540", "lastUpdated" : "2026-06-15T08:17:47.758", "ingestTimestamp" : "2026-06-13T23:04:57.540", "mongoId" : "6a2c8c8274d8ee00a0975af7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 260000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Large-scale modeling", "Multimodal data integration", "Distributed training", "Model versioning", "Model evaluation", "CI/CD for ML", "Mentoring", "Foundation models", "Deep learning", "Multimodal models", "Model optimization", "Technical roadmap", "Architectural direction", "Human physiology", "Human behavior", "PyTorch", "TensorFlow" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 670.4245, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2b0e9a74d8ee00a0761dd4", "title" : "VP Research (Foundation Models)", "company" : "Visium SA", "salary" : { "min" : 280000.0, "max" : 450000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive VP Research in Biotech in Lausanne, Switzerland, adjusted for seniority and company size." }, "location" : "Lausanne, Vaud, Switzerland", "locations" : [ "Lausanne, Vaud, Switzerland" ], "timestamp" : "2026-06-14T23:37:59.367", "fingerprint" : "19749ebeec756051f5713ae85ab31b844ff2fc2601b40071a4fc776b31b5402e", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/F19132C85F/apply", "externalId" : "F19132C85F", "locationPoint" : "46.516,6.63282", "structuredLocations" : [ { "city" : "Lausanne", "state" : "Vaud", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.5218269,6.6327025" } ], "locationText" : "Lausanne, Vaud, Switzerland", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "Foundation Models, LLMs, Distributed training, Data pipelines, Scaling laws, Evaluation harnesses, Checkpointing, Failure recovery", "professionalSkills" : [ "Pre-training strategy", "Research direction", "Technical direction" ], "hardSkillsList" : [ "Large-scale distributed training" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Large-scale distributed training", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Foundation Models, Pre-training, Distributed training", "majorSkillsList" : [ "Foundation Models", "Pre-training", "Distributed training" ], "coreResponsibilities" : "Own pre-training strategy and execution, Execute biologics foundation models, Adapt vertical LLMs, Manage full training stack, Set research direction, Set research standards, Review research, Translate frontier research, Own architectures, Own training runs", "teamCollaboration" : "Founding team; Founders; Founding research seat; Top-20 pharma companies; Founding team; International team", "domainKnowledge" : "Regulated industries; Biologics; Scientific domains; Protein; Genomic; Molecular; Structural; Multi-omics", "domainList" : [ "regulated-industries", "biologics", "scientific-domains", "protein", "genomic", "molecular", "structural", "multi-omics" ], "domainSpecificKnowledge" : [ "Regulated industries", "Biologics", "Scientific domains", "Protein", "Genomic", "Molecular", "Structural", "Multi-omics" ], "continuousLearning" : "Ability to publish; Open source research", "innovationCreativity" : "Frontier research", "problemSolvingSkills" : "Failure recovery", "specialRequirements" : "Based in Switzerland", "outcomesObjectives" : "Build and deploy AI-native systems; Deliver productised AI; Compound value", "qualificationsBasic" : "World-class pre-training experience, Deep mastery of large-scale distributed training, Demonstrated experience in data acquisition, Publication or shipped-model track record, Biologics / scientific foundation model pre-training experience, Ability to code and stay hands-on, Willingness to be based in Switzerland", "qualificationsPreferred" : "Meta / FAIR, OpenAI, Google DeepMind, Anthropic, Mistral, or equivalent/academic experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale. We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain. We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core. **Role** As a VP of Research - Foundation Models (Distinguished Scientist / Research Lead), you will own: * Pre-training strategy and execution for biologics foundation models built from scratch across modalities (architecture, data, representation, scaling, evaluation). * Continued pre-training and adaptation of vertical LLMs for regulated industries. * The full training stack in practice: data pipelines, distributed training, scaling laws, evaluation harnesses, checkpointing, failure recovery. * Research direction, standards and review for a small founding team. * Translating frontier research into models that hold up in regulated, real-world use. You’ll be a hands-on Research Lead / Distinguished Scientist role - not a manager of managers - owning architectures, training runs, and technical direction alongside a founding team of elite researchers. Freedom to publish, established compute resources, and direct collaboration with founders, offering real ownership and zero bureaucracy from day one. **Requirements** To succeed in this role, you bring a combination of expertise, experience, and skills including: * World-class pre-training experience (Meta / FAIR, OpenAI, Google DeepMind, Anthropic, Mistral, or equivalent/academic). * Deep mastery of large-scale distributed training (parallelism strategies, scaling laws, optimization at scale, debugging instability). * Demonstrated experience in data acquisition and preparation at scale. * Strong publication or shipped-model track record. * Biologics / scientific foundation model pre-training experience across modalities (e.g. protein, genomic, molecular, structural, multi-omics, or other specialized scientific domains). * PhD in a relevant field. * Ability to code and stay hands-on in the details. * Willingness to be based in Switzerland (Lausanne or Zurich), on-site. **Benefits** By joining us as VP of Research, you'll benefit from * Defined, in-place compute to run real pre-training. * A founding research seat with genuine technical authority. * Direct partnership with top-20 pharma companies to bring world-leading models to life. * Direct line to the founding team and co-shaping the company strategy * Ability to publish and open source research * A competitive compensation package incl. Equity * A flexible working culture of freedom & responsibility * A position that enables you to have an impact on 1’000s of people and the future of the company * An international, passionate team of demonstrated extraordinary achievements with a strong collaborative mindset and a drive to make a positive difference", "summaryDescription" : "VP Research (Foundation Models) at Visium SA. Skills: Foundation Models, Pre-training, Distributed training. Own pre-training strategy and execution. Execute biologics foundation models", "postedDate" : "2026-06-11T00:00:00.000", "createdAt" : "2026-06-12T06:55:27.986", "lastUpdated" : "2026-06-14T23:37:59.367", "ingestTimestamp" : "2026-06-12T06:55:27.986", "mongoId" : "6a2b0e9a74d8ee00a0761dd4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/F19132C85F", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Large-scale distributed training", "Leadership", "Foundation Models", "Pre-training", "Distributed training", "Pre-training strategy", "Research direction", "Technical direction", "Regulated industries", "Biologics", "Scientific domains", "Protein", "Genomic", "Molecular", "Structural", "Multi-omics" ], "skillCount" : 16, "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "_score" : 652.76117, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca17574d8ee00a09a595b", "title" : "Research Scientist / Engineer - Video Generation Modeling", "company" : "Rhoda AI", "industry" : "Research", "salary" : { "min" : 180000.0, "max" : 270000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Research Scientist/Engineer in Video Generation Modeling in Palo Alto, United States, adjusted for industry and company size." }, "location" : "Palo Alto", "locations" : [ "Palo Alto" ], "timestamp" : "2026-06-15T05:01:17.957", "fingerprint" : "863d7c40c9970a5be8b1b6fb647b221874199aa53ad2add7d794d4d29f9919b7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rhoda-ai/39f7e0c9-067a-4c14-b041-dc9d68f04451/application", "externalId" : "39f7e0c9-067a-4c14-b041-dc9d68f04451", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Video generation, Autoregressive video models, Diffusion transformers, Causal video architectures, Language model pretraining, LLMs, Autoregressive transformers, PyTorch, JAX", "professionalSkills" : [ "Model architectures", "Scaling strategies", "Data mixtures", "Scaling laws", "Data efficiency", "Robot control", "Action prediction", "Video generation quality", "Long-horizon prediction", "Robot task performance", "Model quality", "Research ideas", "Working systems", "Technical direction", "Research strategy" ], "hardSkillsList" : [ "Video prediction", "Causal modeling", "Generative modeling", "Pre-training", "Ablations", "Benchmarking" ], "hardSkills" : [ { "name" : "Video prediction", "level" : "intermediate" }, { "name" : "Causal modeling", "level" : "intermediate" }, { "name" : "Generative modeling", "level" : "intermediate" }, { "name" : "Pre-training", "level" : "intermediate" }, { "name" : "Ablations", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" } ], "majorSkills" : "Video generation modeling, Large-scale pre-training, Robot control, Video prediction", "majorSkillsList" : [ "Video generation modeling", "Large-scale pre-training", "Robot control", "Video prediction" ], "coreResponsibilities" : "Design large-scale causal video generation models, Train large-scale causal video generation models, Develop training objectives, Validate training objectives, Develop model architectures, Validate model architectures, Develop data mixtures, Validate data mixtures, Research scaling laws, Research data efficiency, Investigate web video properties, Build systematic evaluations, Measure video generation quality, Measure long-horizon prediction fidelity, Measure downstream robot task performance, Run rigorous ablations, Run benchmarking, Collaborate with data teams, Collaborate with evaluation teams, Collaborate with post-training teams, Collaborate with training systems teams, Translate research ideas into systems, Publish work, Present work", "teamCollaboration" : "Data teams; Evaluation teams; Post-training teams; Training systems teams", "domainKnowledge" : "Robotics; World models; Generalist robotics; Video action model; Web-scale video data; Robot demonstrations; ML venues; Robotics venues", "domainList" : [ "robotics", "world-models", "generalist-robotics", "video-action-model", "web-scale-video-data", "robot-demonstrations", "ml-venues", "robotics-venues" ], "domainSpecificKnowledge" : [ "Robotics", "World models", "Generalist robotics", "Video action model", "Web-scale video data", "Robot demonstrations", "ML venues", "Robotics venues" ], "problemSolvingSkills" : "Identify high-leverage questions; Cut through noise", "qualificationsBasic" : "Large-scale generative modeling background, Hands-on experience training large generative models, Deep understanding of autoregressive modeling, Deep understanding of causal architectures, Deep understanding of scaling behavior, Fluency with modern ML frameworks, Ability to design experiments, Ability to interpret results, Ability to iterate quickly, Research taste, Comfort operating in a fast-moving startup environment", "qualificationsPreferred" : "PhD in ML, CS, Robotics, Equivalent research/industry experience, Publication record at top-tier ML and robotics venues, Prior work on video generation models, Experience with large-scale autoregressive language model pretraining, Experience with scaling autoregressive language models, Familiarity with web-scale video datasets, Familiarity with video data curation pipelines, Prior work connecting video generation to control, Prior work connecting video generation to action prediction, Prior work connecting video generation to robotic learning", "rawDescription" : "At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Research Scientists and Research Engineers to push the frontier of large-scale pre-training for our video action model. Our approach formulates robot control as video prediction — we pre-train causal video generation models on web-scale video data, then adapt them to predict robot actions from real-world demonstrations. You'll work on the core architectures, training objectives, and scaling strategies that determine how well our models learn from internet-scale video. We hire across levels — from senior to staff — and welcome both research-track and engineering-track candidates. What You'll Do - Design and train large-scale causal video generation models on web-scale video data - Develop and validate training objectives, model architectures, and data mixtures for video prediction at scale - Research scaling laws and data efficiency for web-scale video pretraining - Investigate what properties of web video transfer most effectively to robotic control and action prediction - Build systematic evaluations to measure video generation quality, long-horizon prediction fidelity, and downstream robot task performance - Run rigorous ablations and benchmarking to understand what drives model quality at scale - Collaborate closely with data & evaluation, post-training, and training systems teams to translate research ideas into working systems - Publish and present work at top-tier ML and robotics venues (especially valued for RS track) What We're Looking For - Strong background in large-scale generative modeling — either video generation (autoregressive video models, diffusion transformers, causal video architectures) or language model pretraining (LLMs, autoregressive transformers at scale) - Hands-on experience training large generative models from scratch at scale - Deep understanding of autoregressive modeling, causal architectures, and scaling behavior - Fluency with modern ML frameworks (PyTorch required; JAX a plus) - Ability to design experiments, interpret results, and iterate quickly - Strong research taste: ability to identify high-leverage questions and cut through noise - Comfort operating in a fast-moving, ambiguous startup environment - Staff-level candidates are expected to define technical direction and drive research strategy independently; senior/MTS candidates execute complex projects with strong fundamentals and growing scope Nice to Have (But Not Required) - PhD in ML, CS, Robotics, or a related field — or equivalent research/industry experience - Strong publication record at NeurIPS, ICML, ICLR, CVPR, CoRL, etc. (especially valued for RS track) - Prior work specifically on video generation models (autoregressive video, diffusion transformers, world models, or causal video architectures) - Experience with large-scale autoregressive language model pretraining and scaling - Familiarity with web-scale video datasets and video data curation pipelines - Prior work connecting video generation to control, action prediction, or robotic learning - Familiarity with distributed training and multi-node infrastructure Why This Role - Work on a fundamentally different approach to robot learning — web-scale video pretraining rather than robot-data-only VLA models - Your models give our robots the ability to understand and predict the visual world from internet-scale supervision - Direct collaboration with data, post-training, and deployment teams with no silos - High ownership and fast iteration in a small, elite team", "summaryDescription" : "Research Scientist / Engineer - Video Generation Modeling at Rhoda AI. Skills: Video generation modeling, Large-scale pre-training, Robot control, Video prediction. Design large-scale causal video generation models. Train large-scale causal video generation models", "createdAt" : "2026-06-14T04:06:03.894", "lastUpdated" : "2026-06-15T05:01:17.957", "ingestTimestamp" : "2026-06-14T04:06:03.894", "mongoId" : "6a2ca17574d8ee00a09a595b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 270000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Video prediction", "Causal modeling", "Generative modeling", "Pre-training", "Ablations", "Benchmarking", "Video generation modeling", "Large-scale pre-training", "Robot control", "Model architectures", "Scaling strategies", "Data mixtures", "Scaling laws", "Data efficiency", "Action prediction", "Video generation quality", "Long-horizon prediction", "Robot task performance", "Model quality", "Research ideas", "Working systems", "Technical direction", "Research strategy", "Robotics", "World models", "Generalist robotics", "Video action model", "Web-scale video data", "Robot demonstrations", "ML venues", "Robotics venues" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 639.2388, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8374d8ee00a0975b4b", "title" : "Senior AI/ML Researcher (Foundation AI)", "company" : "WHOOP", "industry" : "Foundation AI", "salary" : { "min" : 190000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T10:23:49.495", "fingerprint" : "f94b434fec5274b93a65a2c8db669cbf49d9627e4867298394efdd5d6cf9e3f2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/85da87ff-c1a6-4fcd-8c7c-162e57b18281/application", "externalId" : "85da87ff-c1a6-4fcd-8c7c-162e57b18281", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, PyTorch, TensorFlow, Deep learning, Transformers, State space models, Representation learning, Self-supervised learning", "professionalSkills" : [ "Model optimization", "Applied research", "Scalable training", "Distributed training", "Production deployment", "Technical roadmap", "Architectural direction" ], "hardSkillsList" : [ "Multimodal model training", "Large-scale modeling", "Data parallelisms", "Model parallelisms", "Context parallelisms" ], "hardSkills" : [ { "name" : "Multimodal model training", "level" : "intermediate" }, { "name" : "Large-scale modeling", "level" : "intermediate" }, { "name" : "Data parallelisms", "level" : "intermediate" }, { "name" : "Model parallelisms", "level" : "intermediate" }, { "name" : "Context parallelisms", "level" : "intermediate" } ], "majorSkills" : "Foundation models, Deep learning, Multimodal models, Applied AI/ML", "majorSkillsList" : [ "Foundation models", "Deep learning", "Multimodal models", "Applied AI/ML" ], "coreResponsibilities" : "Design multimodal foundation models, Train multimodal foundation models, Optimize multimodal foundation models, Conduct applied research, Develop scalable training pipelines, Develop distributed training pipelines, Operationalize models for production, Ensure model robustness, Ensure model reproducibility, Ensure model observability, Translate model capabilities into features, Contribute to technical roadmap, Contribute to architectural direction, Ensure ethical AI standards, Ensure transparent AI standards, Ensure privacy-preserving AI standards", "teamCollaboration" : "Collaborate with data scientists; Collaborate with ML engineers; Collaborate with MLOps; Collaborate with data engineering; Collaborate with software engineering; Collaborate with product teams; Collaborate with research teams; Cross-functional partners", "domainKnowledge" : "Human physiology; Human behavior; Wearable sensors; Biomarkers; Clinical information", "domainList" : [ "human-physiology", "human-behavior", "wearable-sensors", "biomarkers", "clinical-information" ], "domainSpecificKnowledge" : [ "Human physiology", "Human behavior", "Wearable sensors", "Biomarkers", "Clinical information" ], "communicationSkills" : "Cross-functional communication", "specialRequirements" : "Prepared to relocate", "outcomesObjectives" : "Deliver measurable value; Deliver meaningful member value", "qualificationsBasic" : "Master's degree or equivalent experience, 7+ years applied ML/AI research, Expertise modern deep learning, Expertise multimodal model training, Proficiency in Python, Proficiency in deep learning frameworks, Familiarity mulit-node distributed compute, Familiarity multi-gpu distributed compute, Applied experience representation learning, Applied experience self-supervised methods, Applied experience post-training foundation models, Excellent communication skills, Ability to collaborate cross-functionally", "qualificationsPreferred" : "Ph. D. in related field, Experience reinforcement learning, Familiarity MLOps best practices, Passion for WHOOP's mission", "workSiteFlexibility" : "Onsite", "rawDescription" : "WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Familiarity with training models on mulit-node, multi-gpu distributed compute environments. - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.). - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Senior AI/ML Researcher (Foundation AI) at WHOOP. Skills: Foundation models, Deep learning, Multimodal models, Applied AI/ML. Design multimodal foundation models. Train multimodal foundation models", "createdAt" : "2026-06-14T09:36:47.891", "lastUpdated" : "2026-06-15T10:23:49.495", "ingestTimestamp" : "2026-06-14T09:36:47.891", "mongoId" : "6a2c8c8374d8ee00a0975b4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Multimodal model training", "Large-scale modeling", "Data parallelisms", "Model parallelisms", "Context parallelisms", "Foundation models", "Deep learning", "Multimodal models", "Applied AI/ML", "Model optimization", "Applied research", "Scalable training", "Distributed training", "Production deployment", "Technical roadmap", "Architectural direction", "Human physiology", "Human behavior", "Wearable sensors", "Biomarkers", "Clinical information" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 631.07434, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7bad74d8ee00a094aa82", "title" : "Senior Research Scientist, Foundation Model for Simulation", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 204000.0, "max" : 259000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T13:11:08.568", "fingerprint" : "e41ee7c0329fabf2e7a25e5b6f7d0c878fe3bdf192a60b15a477e1e385768d95", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=8003587", "externalId" : "8003587", "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", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, JAX, TensorFlow, Pytorch, Deep learning, Generative modeling, LLMs, VLMs", "professionalSkills" : [ "Behavior modeling", "Agent modeling", "Simulation modeling" ], "hardSkillsList" : [ "Deep learning", "Generative modeling", "LLMs", "VLMs", "Reinforcement learning", "Distillation", "Transformer models", "Autoencoders", "Embeddings" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Generative modeling", "level" : "intermediate" }, { "name" : "LLMs", "level" : "intermediate" }, { "name" : "VLMs", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Distillation", "level" : "intermediate" }, { "name" : "Transformer models", "level" : "intermediate" }, { "name" : "Autoencoders", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" } ], "majorSkills" : "Foundation model research, Deep learning models, Generative modeling", "majorSkillsList" : [ "Foundation model research", "Deep learning models", "Generative modeling" ], "coreResponsibilities" : "Conduct research and development, Design experiments, Train deep learning models, Evaluate deep learning models, Present results to peers, Present results to leadership, Write high quality code, Write unit tests, Write documentation", "teamCollaboration" : "Collaborations with other research teams", "domainKnowledge" : "Autonomous driving; Behavior modeling; Agent modeling; Simulation", "domainList" : [ "autonomous-driving", "behavior-modeling", "agent-modeling", "simulation" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Behavior modeling", "Agent modeling", "Simulation" ], "communicationSkills" : "Present results", "documentationSkills" : "Documentation", "innovationCreativity" : "Applied research", "problemSolvingSkills" : "Open problems", "qualificationsBasic" : "Masters or PhD, Proficiency in Python, 3+ years deep learning frameworks, Experience generative modeling LLMs VLMs", "qualificationsPreferred" : "JAX or TensorFlow 2, Pytorch acceptable, Post-training experience, Reinforcement learning experience, Distillation experience, Transformer models experience, Autoencoders experience, Embeddings experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. In this hybrid role you will report to a Technical Lead Manager. You will: Conduct applied foundation model research and development Design compelling experiments by training and evaluating large deep learning models Present results to peers and leadership Write high quality code, unit tests, and documentation You have: Masters or PhD in deep learning in behavior and agent modeling or simulation Proficiency in Python 3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable. Experience in generative modeling and LLMs or VLMs (e.g., Gemini, Llama, GPT) We prefer: Experience with: Post-training, incl. reinforcement learning Distillation Transformer models Autoencoders and embeddings The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD", "summaryDescription" : "Senior Research Scientist, Foundation Model for Simulation at Waymo. Skills: Foundation model research, Deep learning models, Generative modeling. Conduct research and development. Design experiments", "postedDate" : "2026-06-14T03:02:39.670", "createdAt" : "2026-06-14T03:02:39.670", "lastUpdated" : "2026-06-15T13:11:08.568", "ingestTimestamp" : "2026-06-14T03:02:39.670", "mongoId" : "6a2c7bad74d8ee00a094aa82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 204000, "salaryAnnualMax" : 259000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Deep learning", "Generative modeling", "LLMs", "VLMs", "Reinforcement learning", "Distillation", "Transformer models", "Autoencoders", "Embeddings", "Foundation model research", "Deep learning models", "Behavior modeling", "Agent modeling", "Simulation modeling", "Autonomous driving", "Simulation" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 616.8201, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ace74d8ee00a090e14a", "title" : "AI Training Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 35000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Training Specialist in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T10:19:10.998", "fingerprint" : "33eb2cb9f4d2f4ce1e7613cab17e78ac40434650ee1be6b8f63ca12cea7351cf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266723009", "externalId" : "4266723009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Generative AI, Large language models, Machine learning", "hardSkillsList" : [ "Data labeling", "Data transformation", "Content evaluation", "Prompt creation", "Text summarization", "Speech transcription", "Translation", "Data gathering" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Speech transcription", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large language models, AI training", "majorSkillsList" : [ "Generative AI", "Large language models", "AI training" ], "coreResponsibilities" : "Rate AI models, Assess AI algorithms, Label content elements, Assign predefined categories, Evaluate content quality, Evaluate content appropriateness, Generate labels, Create training data, Apply data transformations, Modify images, Generate new text, Alter audio signals, Alter video signals, Review data, Identify product feature function, Label model outputs, Identify content type, Order items, Rank items, Create prompts, Create questions, Evaluate content relevance, Generate responses, Rewrite existing text, Preserve original meaning, Produce concise summaries, Convert audio to text, Convert speech to text, Translate languages, Gather data, Compile data", "domainKnowledge" : "Generative AI; Large language models; AI systems", "domainList" : [ "generative-ai", "large-language-models", "ai-systems" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models", "AI systems" ], "qualificationsBasic" : "Bachelor's degree humanities, Professional English proficiency", "qualificationsPreferred" : "Advanced degrees preferred, Master's degree preferred, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Training Specialist at Innodata Inc.. Skills: Generative AI, Large language models, AI training. Rate AI models. Assess AI algorithms", "postedDate" : "2026-06-13T20:43:30.833", "createdAt" : "2026-06-13T20:43:30.833", "lastUpdated" : "2026-06-15T10:19:10.998", "ingestTimestamp" : "2026-06-13T20:43:30.833", "mongoId" : "6a2c6ace74d8ee00a090e14a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Data transformation", "Content evaluation", "Prompt creation", "Text summarization", "Speech transcription", "Translation", "Data gathering", "Generative AI", "Large language models", "AI training", "AI systems" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 613.8025, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69d5e4972beec4dd3d931a03", "title" : "Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 179000.0, "max" : 242200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-15T02:29:10.350", "fingerprint" : "0a9b5c21ab174062ac2a01066b210191a925c59ce7112e063208dd6d135560e8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384389/apply", "externalId" : "fef85e31-d93b-4598-9b7a-56f4113a30d3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GenAI, Foundation Models, AI/ML, AWS, Containers, HPC, ML Frameworks, SageMaker, EC2, Kubernetes, SLURM, Fireworks", "professionalSkills" : [ "Go to Market", "Business development", "Sales", "Consulting", "Product development", "Product management", "Market sizing", "Opportunity pipeline", "Proof-of-concepts", "Field training", "Thought-leadership", "Partner identification", "Acquisition identification" ], "hardSkillsList" : [ "GenAI infrastructure", "Model training", "Model inference", "Large-scale workloads", "Container orchestration", "HPC services", "Scalable solutions", "Scalable architectures", "Data science", "Data engineering", "Distributed training", "Model development lifecycle" ], "softSkillsList" : [ "Ownership", "Drive" ], "hardSkills" : [ { "name" : "GenAI infrastructure", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model inference", "level" : "intermediate" }, { "name" : "Large-scale workloads", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "HPC services", "level" : "intermediate" }, { "name" : "Scalable solutions", "level" : "intermediate" }, { "name" : "Scalable architectures", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Distributed training", "level" : "intermediate" }, { "name" : "Model development lifecycle", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Drive" } ], "majorSkills" : "GenAI, Foundation Models, Go to Market, AI infrastructure", "majorSkillsList" : [ "GenAI", "Foundation Models", "Go to Market", "AI infrastructure" ], "coreResponsibilities" : "Define GTM strategies, Build GTM strategies, Deploy GTM strategies, Accelerate adoption of services, Accelerate adoption of solutions, Work with customers, Understand AI infrastructure requirements, Understand scaling complexities, Define scalable programs, Drive adoption, Identify new opportunities, Size markets, Build opportunity pipeline, Understand technical requirements, Create content, Train field teams, Drive industry thought-leadership, Work with product teams, Define new features, Identify partners, Identify potential acquisitions, Suggest scalable solutions, Suggest scalable architectures, Articulate benefits of ML Frameworks, Articulate benefits of AWS services, Shape product vision, Prioritize features for GenAI infra, Create compelling content, Build scalable programs, Build scalable mechanisms, Increase awareness of ML Frameworks, Increase awareness of AWS solutions, Increase adoption of ML Frameworks, Increase adoption of AWS solutions", "teamCollaboration" : "Cross-functional initiatives; Product teams; Solutions architecture; Sales teams; Marketing teams; Professional services; Customers; Partners; Developer community; ML Frameworks; Open-source offerings", "projectManagementSkills" : [ "Market sizing", "Opportunity pipeline" ], "domainKnowledge" : "GenAI use cases; GenAI model training; GenAI model deployment; Container orchestration; HPC services; Foundation models; GenAI market trends; GenAI ecosystem; GenAI opportunities; AI infrastructure", "domainList" : [ "genai-use-cases", "genai-model-training", "genai-model-deployment", "container-orchestration", "hpc-services", "foundation-models", "genai-market-trends", "genai-ecosystem", "genai-opportunities", "ai-infrastructure" ], "domainSpecificKnowledge" : [ "GenAI use cases", "GenAI model training", "GenAI model deployment", "Container orchestration", "HPC services", "Foundation models", "GenAI market trends", "GenAI ecosystem", "GenAI opportunities", "AI infrastructure" ], "toolProficiency" : [ "SageMaker", "EC2", "SLURM", "Kubernetes", "Fireworks" ], "communicationSkills" : "Customer communication; Field team training; Thought-leadership; Executive communication", "problemSolvingSkills" : "Work backwards from customer requirements", "qualificationsBasic" : "5+ years Go-To-Market experience, 5+ years Business Development experience, 5+ years Sales experience, 5+ years Consulting experience, 5+ years Data & AI experience, 5+ years customer-facing product development, 5+ years product management experience, 5+ years defining product experience, 5+ years launching product experience, 5+ years optimizing product experience, 5+ years GenAI experience, 5+ years Foundation Models experience, 5+ years AI/ML experience, 5+ years Analytics experience, 5+ years Database experience, 5+ years Storage experience, Experience in business development, Experience in direct technology sales, Experience in partnership management, Experience in sourcing new business", "qualificationsPreferred" : "Experience with SLURM, Experience with Kubernetes, Experience with Fireworks, Experience in GPU architecture, Experience in AI models, Experience in distributed training, Experience in inference, Experience in end to end model development lifecycle", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to help define the future of Go to Market (GTM) at AWS for generative AI (GenAI)? You will be part of the core worldwide GenAI Foundation Models GTM team focused on GenAI infrastructure for model training. You will be responsible for defining, building, and deploying targeted strategies to accelerate adoption of our services and solutions with lighthouse Frontier AI model builders across segments and industry verticals. You will be working directly with the most important customers in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts. Key job responsibilities In this role, you will work closely with customers to understand the AI infrastructure requirements, complexities involved in scaling GenAI model training across modalities and use-cases that take advantage of the power of AWS’ storage, compute, networking, and GenAI technologies. You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions. As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in key GenAI use cases, understand the challenges involved in training and deploying GenAI models, orchestrating workloads using containers/HPC services, and are able to work backwards from customer requirements to suggest scalable solutions and architectures. You have the technical depth to articulate the benefits of ML Frameworks and AWS services to data scientists, data engineers, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and importantly, the developer community of ML Frameworks and key open-source offerings. You will be responsible for creating compelling content, and building scalable programs and mechanisms to increase awareness and adoption of ML Frameworks and AWS solutions. Additionally, you will work with Amazon SageMaker and Amazon EC2 product teams to shape product vision and prioritize features for GenAI infra. A keen sense of ownership, drive, and being scrappy is a must. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Experience in business development, direct technology services sales, partnership management, or sourcing new business - 5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience - 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience Preferred Qualifications: - Experience with SLURM, Kubernetes, GenAI infra platforms such as Fireworks - Experience in GPU architecture, AI models, distributed training and inference - Experience in end to end model development lifecycle Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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, CA, San Francisco - 179,000.00 - 242,200.00 USD annually USA, CA, Santa Clara - 179,000.00 - 242,200.00 USD annually USA, NY, New York - 179,000.00 - 242,200.00 USD annually USA, TX, Dallas - 162,700.00 - 220,200.00 USD annually USA, WA, Seattle - 162,700.00 - 220,200.00 USD annually", "summaryDescription" : "Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM at Amazon Web Services, Inc.. Skills: GenAI, Foundation Models, Go to Market, AI infrastructure. Define GTM strategies. Build GTM strategies", "postedDate" : "2026-06-13T04:51:07.675", "createdAt" : "2026-06-13T04:51:07.675", "lastUpdated" : "2026-06-15T02:29:10.350", "ingestTimestamp" : "2026-06-13T04:51:07.675", "mongoId" : "69d5e4972beec4dd3d931a03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384389/apply", "salaryAnnualMin" : 179000, "salaryAnnualMax" : 242200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "GenAI infrastructure", "Model training", "Model inference", "Large-scale workloads", "Container orchestration", "HPC services", "Scalable solutions", "Scalable architectures", "Data science", "Data engineering", "Distributed training", "Model development lifecycle", "Ownership", "Drive", "GenAI", "Foundation Models", "Go to Market", "AI infrastructure", "Business development", "Sales", "Consulting", "Product development", "Product management", "Market sizing", "Opportunity pipeline", "Proof-of-concepts", "Field training", "Thought-leadership", "Partner identification", "Acquisition identification", "GenAI use cases", "GenAI model training", "GenAI model deployment", "Foundation models", "GenAI market trends", "GenAI ecosystem", "GenAI opportunities", "SageMaker", "EC2", "SLURM", "Kubernetes", "Fireworks" ], "skillCount" : 42, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 604.7934, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6ace74d8ee00a090e149", "title" : "AI Training Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 40000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Training Specialist in the US, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-16T06:40:20.412", "fingerprint" : "36e32428f0e586b18e22d0c91404457ccb9553ada318715bd4e2fb0744ba93e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266625009", "externalId" : "4266625009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "majorSkills" : "Generative AI, Large language models", "majorSkillsList" : [ "Generative AI", "Large language models" ], "coreResponsibilities" : "Rate/assess AI model performance, Label content elements, Assign predefined categories or labels, Evaluate content quality/appropriateness, Generate labels to advance understanding, Create additional training data, Apply transformations to data, Review data and identify feature functionality, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses from AI systems, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert language from one to another, Gather and compile data", "domainKnowledge" : "Generative AI; Large language models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large language models" ], "qualificationsBasic" : "Bachelor's degree or higher in humanities, Professional or Expert level proficiency (C1/C2) in English", "qualificationsPreferred" : "Advanced degrees (Master's or PhD) preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Training Specialist at Innodata Inc.. Skills: Generative AI, Large language models. Rate/assess AI model performance. Label content elements", "postedDate" : "2026-06-14T19:59:48.196", "createdAt" : "2026-06-14T19:59:48.196", "lastUpdated" : "2026-06-16T06:40:20.412", "ingestTimestamp" : "2026-06-14T19:59:48.196", "mongoId" : "6a2c6ace74d8ee00a090e149", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 40000, "salaryAnnualMax" : 60000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Generative AI", "Large language models" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 595.5887, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306501f292fd229cfa478a", "title" : "Fine-Art Photographer (Late Shifts)", "industry" : "Creative & Production", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T12:05:10.823", "fingerprint" : "7f307e1a73b9cfd08eaa1dcf8d6e8de293d97c0d368d5551f18d19248f6832e6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/bodysoul/d40e3390-b8ae-4014-a734-d155434b1dc6/application", "externalId" : "d40e3390-b8ae-4014-a734-d155434b1dc6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Exposure, Focus, Composition, Studio lighting", "professionalSkills" : [ "Time management", "Guest experience" ], "hardSkillsList" : [ "Portrait photography", "Studio photography", "Wedding photography", "Boudoir photography", "Luxury portraiture" ], "softSkillsList" : [ "Calm leadership", "Emotional presence" ], "hardSkills" : [ { "name" : "Portrait photography", "level" : "intermediate" }, { "name" : "Studio photography", "level" : "intermediate" }, { "name" : "Wedding photography", "level" : "intermediate" }, { "name" : "Boudoir photography", "level" : "intermediate" }, { "name" : "Luxury portraiture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Calm leadership" }, { "name" : "Emotional presence" } ], "majorSkills" : "Portrait photography, Directing, Posing", "majorSkillsList" : [ "Portrait photography", "Directing", "Posing" ], "coreResponsibilities" : "Run 3 high-touch sessions, Maintain gallery quality, Keep guest scores high, Direct everyday women, Pose everyday women, Keep sets immaculate, Keep wardrobe immaculate, Keep gear immaculate, Keep studio floor immaculate, Log clear notes, Engage in training, Implement feedback, Attend gallery reviews, Develop craft weekly, Be a team player", "teamCollaboration" : "Team player", "domainKnowledge" : "Intimate portraiture; Luxury portraiture; Women's portraiture", "domainList" : [ "intimate-portraiture", "luxury-portraiture", "women-s-portraiture" ], "domainSpecificKnowledge" : [ "Intimate portraiture", "Luxury portraiture", "Women's portraiture" ], "documentationSkills" : "Log clear notes", "continuousLearning" : "Ongoing development; Weekly gallery reviews; 1-on-1s; Calibration sessions", "specialRequirements" : "Female applicants only", "outcomesObjectives" : "Run 3 sessions per day; Maintain gallery quality; Keep guest scores at baseline; Minimal re-shoots; Clean file hygiene", "qualificationsBasic" : "2+ years studio photography, 2+ years wedding photography, Direct and pose non-models, Technical skills across exposure, Technical skills across focus, Technical skills across composition, Technical skills across studio lighting, Excellent time management, Work fixed 8-hour shifts, Work 1pm-10pm band, Work five days per week, Work most weekends, Open to learning process", "qualificationsPreferred" : "Intimate portrait environments experience, Boudoir portrait environments experience, Luxury portrait environments experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're a luxury, women's intimate portrait studio in East London. We help everyday women transform how they see themselves through powerful portrait experiences and artwork they keep for life. We've already guided more than 1,900 women through this journey. For many, it's been the most important, confidence‑shifting thing they did that year. This role is built around afternoon–evening studio shifts. You’ll work fixed 8‑hour blocks that typically fall between 1pm and 10pm (for example 1–9pm or 2–10pm), five days per week including most weekends. If you believe in high standards, hard work, and helping others win, you'll feel at home here. STUDIO VISION We are building a house of world‑class women’s portrait artists. Women join us as photographers, learn a proven craft, and grow into creative leaders. We promote from within. You have to master one seat before you can move to the next. As we scale, our Seniors and Leads will come from the women shooting with us today. If you care about beauty, excellence, and helping other women see themselves differently, this is where you come to grow. WHO THIS IS FOR - You are a strong studio or wedding photographer (2+ years) who can hold a calm, grounded space while you work. - You want to make a real difference in women's lives - You are extremely hard working - You are looking for growth - You naturally prefer afternoon–evening hours and still have energy to lead emotional sessions at 8–9pm. WHAT WE OFFER YOU - A pure craft role: No sales. No editing. Your job is running three powerful shoots a day, every day. - Structured 90‑day ramp: Close coaching, clear milestones, and a simple scorecard so you know exactly what “good” looks like. - Ongoing development: Weekly gallery reviews, 1‑1s, and calibration sessions to refine your eye and your presence. - Performance‑based career growth: All photographers start in our Junior band on £36,000 base. Hit clear quality and guest‑experience standards and you progress to Core Photographer at £40,000+ base and up to £48,000 OTE in your first year. As we grow, Seniors and Leads earn £45,000–£60,000 OTE. - An all‑female floor team: Stylists, photographers, and leaders who genuinely want you to win. WHAT WE EXPECT FROM YOU RESPONSIBILITIES - High work ethic (long days and regular weekends) - Direct and pose everyday women with calm, grounded leadership so they feel safe, supported, and genuinely seen. - Keep sets, wardrobe, gear, and the studio floor immaculate every shift. - Log clear notes after every guest so the rest of the team can do their best work downstream. - Engage fully in training: implement feedback, attend gallery reviews, and develop your craft weekly. - Be a team player who makes the people around you better. RESULTS - Run 3 high‑touch emotional sessions per day to our timing, gallery, and guest‑experience standards. - Maintain gallery quality that gives each guest plenty of strong, saleable images to build artwork they’re proud to live with. - Keep your guest scores at or above studio baseline, with minimal re‑shoots and clean file hygiene. REQUIREMENTS - 2+ years of experience in studio photography or weddings, ideally in intimate, boudoir, or luxury portrait environments. - Confident directing and posing non‑models with empathy and emotional presence. - Strong technical skills across exposure, focus, composition, and studio lighting. - Excellent time management: able to run emotionally intense back‑to‑back sessions without rushing the guest. - Able to reliably work fixed 8‑hour afternoon–evening shifts within a 1pm–10pm band, five days per week including most weekends. - Open to learning and following a proven process before suggesting changes to it. LOCATION - East London studio, in‑person only. - Full‑time, afternoon–evening shifts, five days per week including most weekends. COMPENSATION - Starting band: Junior Photographer (all new hires start here while you learn our style and systems). - Base salary: £36,000. - On‑target earnings year 1: £40,000–£48,000 OTE (base salary plus quarterly performance bonus based on guest feedback, image quality, and reliability). - Progression: Once you consistently hit our Core Photographer standards, your base rises to £40,000+ and your bonus potential increases. Our top performers then grow into Senior and Lead bands on £45,000–£60,000 OTE as the studio scales. HOW TO APPLY Click “Apply Now” on this page and complete the short application form. If it looks like a potential fit, we’ll invite you to record a short video about your experience and why this role is right for you. From there, shortlisted candidates will be invited into our interview process and a paid trial day to make sure it’s a fit on both sides. If you want to use your artistry to help everyday women unleash confidence and to grow into a world‑class portrait artist yourself, we’d love to hear from you. Due to the intimate nature of our work with female clients, this role has a genuine occupational requirement for female applicants under Schedule 9 of the Equality Act 2010.", "summaryDescription" : "Fine-Art Photographer (Late Shifts). Skills: Portrait photography, Directing, Posing. Run 3 high-touch sessions. Maintain gallery quality", "createdAt" : "2026-06-16T00:31:50.727", "lastUpdated" : "2026-06-16T12:05:10.823", "ingestTimestamp" : "2026-06-16T00:31:50.727", "mongoId" : "6a306501f292fd229cfa478a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Portrait photography", "Studio photography", "Wedding photography", "Boudoir photography", "Luxury portraiture", "Calm leadership", "Emotional presence", "Directing", "Posing", "Time management", "Guest experience", "Intimate portraiture", "Women's portraiture" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 591.178, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306501f292fd229cfa4786", "title" : "Fine-Art Photographer - Luxury Women's Studio", "industry" : "Creative & Production", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T08:44:23.264", "fingerprint" : "9a354cb8d7f5af671de1d8e8c502da97e63c0a939dd1c4b8ae715f602a83882c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/bodysoul/306ac0b8-8cae-4164-a7e4-5fd0649e50b1/application", "externalId" : "306ac0b8-8cae-4164-a7e4-5fd0649e50b1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "technicalSkills" : "Exposure, Focus, Composition, Studio lighting", "professionalSkills" : [ "Time management" ], "hardSkillsList" : [ "Photography" ], "softSkillsList" : [ "Calm leadership", "Grounded leadership", "Emotional presence" ], "hardSkills" : [ { "name" : "Photography", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Calm leadership" }, { "name" : "Grounded leadership" }, { "name" : "Emotional presence" } ], "teamCollaboration" : "All-female floor team", "domainKnowledge" : "Luxury women's portraiture", "domainList" : [ "luxury-women-s-portraiture" ], "domainSpecificKnowledge" : [ "Luxury women's portraiture" ], "documentationSkills" : "Log clear notes", "continuousLearning" : "Ongoing development; Weekly gallery reviews; 1-1s; Calibration sessions", "specialRequirements" : "Genuine occupational requirement for female applicants", "qualificationsBasic" : "2+ years of experience in studio photography or weddings, Confident directing and posing non-models, Technical skills across exposure, focus, composition, and studio lighting, Excellent time management", "qualificationsPreferred" : "Experience in intimate, boudoir, or luxury portrait environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're a luxury, women's intimate portrait studio in East London. We help everyday women transform how they see themselves through powerful portrait experiences and artwork they keep for life. We've already guided more than 1,900 women through this journey. For many, it's been the most important, confidence‑shifting thing they did that year. If you believe in high standards, hard work, and helping others win, you'll feel at home here. STUDIO VISION We are building a house of world‑class women’s portrait artists. Women join us as photographers, learn a proven craft, and grow into creative leaders. We promote from within. You have to master one seat before you can move to the next. As we scale, our Seniors and Leads will come from the women shooting with us today. If you care about beauty, excellence, and helping other women see themselves differently, this is where you come to grow. WHO THIS IS FOR - You are a strong studio or wedding photographer (2+ years) who can hold a calm, grounded space while you work. - You want to make a real difference in women's lives - You are extremely hard working - You are looking for growth WHAT WE OFFER YOU - A pure craft role: No sales. No editing. Your job is running three powerful shoots a day, every day. - Structured 90‑day ramp: Close coaching, clear milestones, and a simple scorecard so you know exactly what “good” looks like. - Ongoing development: Weekly gallery reviews, 1‑1s, and calibration sessions to refine your eye and your presence. - Performance‑based career growth: All photographers start in our Junior band on £36,000 base. Hit clear quality and guest‑experience standards and you progress to Core Photographer at £40,000+ base and up to £48,000 OTE in your first year. As we grow, Seniors and Leads earn £45,000–£60,000 OTE. - An all‑female floor team: Stylists, photographers, and leaders who genuinely want you to win. WHAT WE EXPECT FROM YOU RESPONSIBILITIES - High work ethic (long days and regular weekends) - Direct and pose everyday women with calm, grounded leadership so they feel safe, supported, and genuinely seen. - Keep sets, wardrobe, gear, and the studio floor immaculate every shift. - Log clear notes after every guest so the rest of the team can do their best work downstream. - Engage fully in training: implement feedback, attend gallery reviews, and develop your craft weekly. - Be a team player who makes the people around you better. RESULTS - Run 3 high‑touch emotional sessions per day to our timing, gallery, and guest‑experience standards. - Maintain gallery quality that gives each guest plenty of strong, saleable images to build artwork they’re proud to live with. - Keep your guest scores at or above studio baseline, with minimal re‑shoots and clean file hygiene. REQUIREMENTS - 2+ years of experience in studio photography or weddings, ideally in intimate, boudoir, or luxury portrait environments. - Confident directing and posing non‑models with empathy and emotional presence. - Strong technical skills across exposure, focus, composition, and studio lighting. - Excellent time management: able to run emotionally intense back‑to‑back sessions without rushing the guest. - Open to learning and following a proven process before suggesting changes to it. LOCATION - East London studio, in‑person only. - Full‑time, five days per week including most weekends. COMPENSATION - Starting band: Junior Photographer (all new hires start here while you learn our style and systems). - Base salary: £36,000. - On‑target earnings year 1: £40,000–£48,000 OTE (base salary plus quarterly performance bonus based on guest feedback, image quality, and reliability). - Progression: Once you consistently hit our Core Photographer standards, your base rises to £40,000+ and your bonus potential increases. Our top performers then grow into Senior and Lead bands on £45,000–£60,000 OTE as the studio scales. HOW TO APPLY Click “Apply Now” on this page and complete the short application form. If it looks like a potential fit, we’ll invite you to record a short video about your experience and why this role is right for you. From there, shortlisted candidates will be invited into our interview process and a paid trial day to make sure it’s a fit on both sides. If you want to use your artistry to help everyday women unleash confidence and to grow into a world‑class portrait artist yourself, we’d love to hear from you. Due to the intimate nature of our work with female clients, this role has a genuine occupational requirement for female applicants under Schedule 9 of the Equality Act 2010.", "summaryDescription" : "Fine-Art Photographer - Luxury Women's Studio", "createdAt" : "2026-06-16T00:32:01.645", "lastUpdated" : "2026-06-16T08:44:23.264", "ingestTimestamp" : "2026-06-16T00:32:01.645", "mongoId" : "6a306501f292fd229cfa4786", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Photography", "Calm leadership", "Grounded leadership", "Emotional presence", "Time management", "Luxury women's portraiture" ], "skillCount" : 6, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 559.6264, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2ca59074d8ee00a09b71cb", "title" : "Engineer, Air Suspension Testing & Tuning", "company" : "Scout Motors", "industry" : "Manufacturing", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC", "Novi", "Michigan", "United States" ], "certifications" : [ "High-performance driving certifications" ], "timestamp" : "2026-06-15T07:55:44.357", "fingerprint" : "b7bb3d737b23b40b05e32df5cbc885666748c6d570806ec453d9c9a0dc481ec8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5160786007", "externalId" : "5160786007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Air suspension, MATLAB, Simulink", "professionalSkills" : [ "Project management", "Independent project management" ], "hardSkillsList" : [ "Damper curves interpretation", "Suspension characteristics interpretation", "Virtual development support", "Test standards development", "Advanced testing methodologies" ], "softSkillsList" : [ "Teamwork", "Leadership" ], "hardSkills" : [ { "name" : "Damper curves interpretation", "level" : "intermediate" }, { "name" : "Suspension characteristics interpretation", "level" : "intermediate" }, { "name" : "Virtual development support", "level" : "intermediate" }, { "name" : "Test standards development", "level" : "intermediate" }, { "name" : "Advanced testing methodologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" }, { "name" : "Leadership" } ], "majorSkills" : "Air suspension testing, Simulation tools, Vehicle dynamics", "majorSkillsList" : [ "Air suspension testing", "Simulation tools", "Vehicle dynamics" ], "coreResponsibilities" : "Analyze results, Correlate with simulation models, Prepare detailed reports, Summarize findings, Summarize objectivations, Summarize subjective evaluations, Summarize KPIs, Summarize recommended next steps, Work closely with production teams, Ensure manufacturability, Ensure process alignment, Ensure production readiness, Collaborate cross-functionally, Support virtual development activities, Contribute to best practices, Develop test standards, Develop advanced testing methodologies", "teamCollaboration" : "Cross-functionally with DREs; Vehicle dynamics teams; Controls teams; Electronics teams; Software teams; Systems engineering teams; Internal teamwork; External parties teamwork", "projectManagementSkills" : [ "Project steering", "Project coordination", "Independent project management" ], "domainKnowledge" : "Electric vehicle chassis systems; Air suspension systems; Vehicle performance; Mobility innovation", "domainList" : [ "electric-vehicle-chassis-systems", "air-suspension-systems", "vehicle-performance", "mobility-innovation" ], "domainSpecificKnowledge" : [ "Electric vehicle chassis systems", "Air suspension systems", "Vehicle performance", "Mobility innovation" ], "toolProficiency" : [ "ADAMS", "CarSim", "MATLAB/Simulink" ], "communicationSkills" : "Report preparation; Summarizing findings", "documentationSkills" : "Detailed reports", "innovationCreativity" : "Innovate in electric vehicle chassis systems; Creation of new ideas; Creation of new solutions", "problemSolvingSkills" : "Correlation of physical and virtual test results", "specialRequirements" : "Ability to travel as needed, Hands-on testing", "outcomesObjectives" : "Ensure manufacturability of air suspension components; Ensure process alignment of air suspension systems; Ensure production readiness of air suspension systems", "qualificationsBasic" : "Ability to interpret damper curves, Ability to interpret suspension characteristics, Ability to interpret control system behaviors, High-performance driving skills, Experience testing vehicles at limit", "qualificationsPreferred" : "Experience with simulation tools, Correlation of physical and virtual test results, Certifications in high-performance driving", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "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 At Scout Motors, you don't just design vehicles- you shape the future of the road. Our Engineering team is where bold ideas meet rigorous execution, building machines that are as durable and capable as the people who drive them. You'll work shoulder-to-shoulder with brilliant minds across disciplines, turning complex challenges into elegant, scalable solutions that meet the highest standards of safety, performance, and user experience. This is a place where your fingerprints are found on metal – where what you design gets built, driven, and remembered. If you're hungry to engineer something that matters, Scout Motors is where that ambition finds its highest gear. Become part of an iconic brand that is set to revolutionize the electric pick-up truck analyze results and correlate with simulation models. Prepare detailed reports summarizing findings, objectivations, subjective evaluations, KPIs, and recommended next steps. Work closely with production teams to ensure manufacturability, process alignment, and production readiness of air suspension components and systems. Collaborate cross‑functionally with chassis DREs, vehicle dynamics, controls, electronics, software, and systems engineering teams. Support virtual development activities (simulation, model‑in‑the‑loop, driving simulators) to complement physical testing. Contribute to best practices, develop test standards, and advanced testing methodologies for air suspension systems. Location ability to interpret damper curves, suspension characteristics, and control system behaviors. Experience with simulation tools (ADAMS, CarSim, MATLAB/Simulink or comparable) and correlation of physical and virtual test results. Strong communication, teamwork, and cross‑functional alignment skills. High motivation to innovate in electric vehicle chassis systems and willingness to engage in hands‑on testing. Ability to travel as needed for testing and collaboration. High-performance driving skills and experience testing vehicles at the limit (certifications). Passion for vehicle performance and innovation in mobility Advanced project steering and coordination skills to practice independent project management for a defined development scope Motivation to work at the cutting edge of electric vehicle technical design, creation of new ideas and solutions, and enjoyment of hands-on vehicle testing. Excellent teamwork. Both internally and with external parties 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. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Engineer, Air Suspension Testing & Tuning at Scout Motors. Skills: Air suspension testing, Simulation tools, Vehicle dynamics. Analyze results. Correlate with simulation models", "postedDate" : "2026-06-13T22:50:17.118", "createdAt" : "2026-06-13T22:50:17.118", "lastUpdated" : "2026-06-15T07:55:44.357", "ingestTimestamp" : "2026-06-13T22:50:17.118", "mongoId" : "6a2ca59074d8ee00a09b71cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Damper curves interpretation", "Suspension characteristics interpretation", "Virtual development support", "Test standards development", "Advanced testing methodologies", "Teamwork", "Leadership", "Air suspension testing", "Simulation tools", "Vehicle dynamics", "Project management", "Independent project management", "Project steering", "Project coordination", "Electric vehicle chassis systems", "Air suspension systems", "Vehicle performance", "Mobility innovation", "High-performance driving certifications", "ADAMS", "CarSim", "MATLAB/Simulink" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 558.5908, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb11874d8ee00a09dc1f3", "title" : "Senior Research Scientist, Mathematical Foundations", "company" : "Basecamp Research", "industry" : "Data", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Research Scientist in Biotech in London, UK, adjusted for seniority and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T11:24:10.006", "fingerprint" : "482d3837c7c32d565e06f26092636def9948552941458a967714b25c74992226", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/basecamp-research/6f4c5c1f-b146-4aea-b37c-5f67d8bfe294/application", "externalId" : "6f4c5c1f-b146-4aea-b37c-5f67d8bfe294", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine Learning, Deep Learning, Generative models, Geometric deep learning, Probabilistic modeling, Dynamical systems, Information geometry, Optimization theory", "professionalSkills" : [ "Quantitative thinking", "Frontier research", "Large-scale experimentation", "Independent thinking" ], "hardSkillsList" : [ "Mathematical thinking", "First principles thinking", "Metagenomic datasets" ], "softSkillsList" : [ "Low ego", "Collaborative instincts", "Startup mentality", "Comfortable with ambiguity" ], "hardSkills" : [ { "name" : "Mathematical thinking", "level" : "intermediate" }, { "name" : "First principles thinking", "level" : "intermediate" }, { "name" : "Metagenomic datasets", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Low ego" }, { "name" : "Collaborative instincts" }, { "name" : "Startup mentality" }, { "name" : "Comfortable with ambiguity" } ], "majorSkills" : "Mathematical Foundations, Biological AI, Foundation models", "majorSkillsList" : [ "Mathematical Foundations", "Biological AI", "Foundation models" ], "coreResponsibilities" : "Develop new methods, Develop new theories, Shape research direction, Publish at top venues, Translate work into models, Generate novel biology", "teamCollaboration" : "Small collaborative group; Cross-functional environment; Work alongside researchers; Work with biologists; Work with bioinformaticians; Work with engineers", "domainKnowledge" : "Beyond Known Biology; Biological dataset; Genetic diversity; Protein sequences; Biological systems; Therapeutic research; Genomics; Sequence modeling; Large-scale deep learning; Unexplored ecosystems", "domainList" : [ "beyond-known-biology", "biological-dataset", "genetic-diversity", "protein-sequences", "biological-systems", "therapeutic-research", "genomics", "sequence-modeling", "large-scale-deep-learning", "unexplored-ecosystems" ], "domainSpecificKnowledge" : [ "Beyond Known Biology", "Biological dataset", "Genetic diversity", "Protein sequences", "Biological systems", "Therapeutic research", "Genomics", "Sequence modeling", "Large-scale deep learning", "Unexplored ecosystems" ], "continuousLearning" : "Coaching available; Personal development", "innovationCreativity" : "Frontier AI models; Novel protein sequences; Novel biology", "problemSolvingSkills" : "Rigorous quantitative thinking; Mathematical structure to hard problems", "outcomesObjectives" : "Accelerate therapeutic research; Accelerate development; See work translated into models; Generate genuinely novel biology", "qualificationsBasic" : "PhD in mathematics, PhD in physics, Publication record at top ML venues", "qualificationsPreferred" : "Experience training models at large scale, Domain knowledge in life sciences, Domain knowledge in genomics, Domain knowledge in computational biology, Familiarity with protein structure, Familiarity with molecular dynamics, Familiarity with biophysical methods, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT US Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. THE ROLE We are looking for a Senior Research Scientist to join our AI Research team in London. You will work at the intersection of mathematics and machine learning, bringing rigorous quantitative thinking to some of the most challenging problems in biological AI. Our research group is small, collaborative, and operates more like a frontier research lab than a typical biotech team. We train large-scale foundation models on the world's largest and richest metagenomic datasets, and we look for people who can push the mathematical boundaries of what these models can learn and represent. The work requires developing new methods and theories from scratch. This is a role with real ownership. You will shape a research direction within the team, publish at top venues, and see your work translated into models that generate genuinely novel biology. The problems are hard, the data is unique, and the impact is tangible. You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as biologists, bioinformaticians, and engineers across the wider company. ABOUT YOU PhD in mathematics, physics, or a closely related quantitative field. Your work in AI and machine learning is driven by curiosity, and you've brought a depth of mathematical thinking that clearly distinguishes your work. You have spent meaningful time on frontier research and you already have an understanding of how top research teams operate, from problem selection to large-scale experimentation to shipping results that matter. Your research interests might span generative models, geometric deep learning, probabilistic modeling, dynamical systems, information geometry, optimization theory, or related areas. What matters most is that you think from first principles and bring mathematical structure to hard problems. You have a strong publication record at top ML venues (NeurIPS, ICML, ICLR, or equivalent) that demonstrates independent thinking and a coherent research arc. You are genuinely curious about biology. Domain expertise is welcome, and what we really care about is that you find it exciting to work with data from unexplored ecosystems encoding billions of years of evolutionary optimization. The best candidates will see biological data as a source of fundamentally new scientific questions. You have low ego, strong collaborative instincts, and a startup mentality. You are comfortable with ambiguity, willing to iterate fast, and happy to work in a small team where everyone contributes across boundaries. NICE TO HAVE Experience training models at large scale (billions of parameters, extreme long context, distributed training, custom architectures). Domain knowledge in life sciences, genomics, or computational biology, e.g., familiarity with protein structure, molecular dynamics, or related biophysical methods. WHAT WE OFFER IN RETURN - Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.. - Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points. - High Growth: We truly believe in investing our people we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact. - Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that means most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.", "summaryDescription" : "Senior Research Scientist, Mathematical Foundations at Basecamp Research. Skills: Mathematical Foundations, Biological AI, Foundation models. Develop new methods. Develop new theories", "createdAt" : "2026-06-14T09:42:26.898", "lastUpdated" : "2026-06-15T11:24:10.006", "ingestTimestamp" : "2026-06-14T09:42:26.898", "mongoId" : "6a2cb11874d8ee00a09dc1f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mathematical thinking", "First principles thinking", "Metagenomic datasets", "Low ego", "Collaborative instincts", "Startup mentality", "Comfortable with ambiguity", "Mathematical Foundations", "Biological AI", "Foundation models", "Quantitative thinking", "Frontier research", "Large-scale experimentation", "Independent thinking", "Beyond Known Biology", "Biological dataset", "Genetic diversity", "Protein sequences", "Biological systems", "Therapeutic research", "Genomics", "Sequence modeling", "Large-scale deep learning", "Unexplored ecosystems" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 554.2252, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde45c2beec4dd3d9a3f5a", "title" : "Pharmacist- Foundation", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 110000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Pharmacist in West Covina, California, adjusted for the healthcare industry and a large hospital system." }, "location" : "United States-California-West Covina", "locations" : [ "United States-California-West Covina", "Pharmacy", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T23:33:32.995", "fingerprint" : "58fdeae994b385b97fc5d83650198c56b6cdd8e878e8a491618ec73a8edbb1de", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=208565", "externalId" : "208565", "industryFunction" : { }, "structuredLocations" : [ { "city" : "West Covina", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0686208,-117.9389526" } ], "locationText" : "West Covina, California, United States", "remoteFriendly" : false, "rawDescription" : "Pharmacist-Foundation Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. The Pharmacist is a licensed professional who provides safe and optimal comprehensive patient care. The Pharmacist ensures federal, state, and local requirements, including all standards required by regulatory bodies such as The Joint Commission, are met. The Pharmacist will perform medication management activities including analyzing, verification, monitoring, compounding, and dispensing. The Pharmacist will serve as the medication management expert by providing accurate drug information to providers, nurses, and other clinical staff. The individual will supervise technicians during the shift and assist with training/education for pharmacy staff. It is expected that the Pharmacist will collaborate with colleagues and provide excellent customer service to patients and staff. Additional duties may include quality and performance improvement activities or others as determined by Pharmacy Leadership. As a successful candidate, you will: Support and promote the efforts of all care providers to deliver quality care. Promote the delivery of quality care consistent with the scope of practice of the discipline. Ensure self-competence and promotes adherence to professional practice standards through education, training, coaching and monitoring. Participate with the Director and managers in the implementation and evaluation of new services/programs. Supervise personnel and personally delivers pharmaceutical care and service/ information/ medication/ products by serving as a role model and through effective use of change-agent strategies. Supervision of Pharmacy Technician to ensure compliance with cleanroom standards, accuracy of medication inventory and accuracy of IV compounded products. Keep up-to-date with USP 797 & 800 guidelines and work with interdisciplinary team to ensure compliance. Maintain Pharmacy Technician IV compounding annual competencies. Effectively communicates/educates all customers to meet organizational goals and customer service expectations. Maintain current knowledge, skills and competencies through involvement in professional continuing education activities. Manage/supervise the efficient and effective utilization of resources and staff (technicians, students, interns, etc.) and serves as a role model in training programs. Fosters involvement in performance improvement activities to promote continuous improvement in care delivery. Demonstrates assimilation of core organizational values within own performance. Monitor drug therapy; recommends alternate more efficient drug therapy when appropriate. Prepare and dispense medications in strict adherence to department policies and procedures. Your qualifications should include: Graduate of ACPE-accredited Pharmacy School or School with ACPE accreditation pending Current CA Pharmacist License BLS through the American Heart Association City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-West Covina", "summaryDescription" : "Pharmacist- Foundation at City of Hope", "createdAt" : "2026-06-14T19:07:50.548", "lastUpdated" : "2026-06-15T23:33:32.995", "ingestTimestamp" : "2026-06-14T19:07:50.548", "mongoId" : "69dde45c2beec4dd3d9a3f5a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 539.3934, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a1a087858b93c861e7046fb", "title" : "Executive Assistant Fine Arts", "industry" : "Education", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Assistant in Sugar Land, TX, adjusted for mid-seniority in the education industry." }, "location" : "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "locations" : [ "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "
ADMINISTRATION BUILDING (700)
16431 LEXINGTON BLVD.
SUGAR LAND, 77479

" ], "timestamp" : "2026-06-16T02:46:52.467", "fingerprint" : "fb17e487e57037ae2c677ad6058dce633518df9f8c3be382e924e26d876db54f", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=192697", "externalId" : "192697", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Office organization", "Project management", "Data compilation", "Record reconciliation", "Budget preparation", "Correspondence composition" ], "hardSkillsList" : [ "Secretarial duties", "Clerical operations", "Minute taking", "Travel arrangements", "Filing systems", "Leave tracking", "Payroll processing", "Requisition preparation", "Voucher preparation", "Budget forms", "Financial records", "Payment requests", "Correspondence review", "Calendar maintenance", "Meeting coordination" ], "hardSkills" : [ { "name" : "Secretarial duties", "level" : "intermediate" }, { "name" : "Clerical operations", "level" : "intermediate" }, { "name" : "Minute taking", "level" : "intermediate" }, { "name" : "Travel arrangements", "level" : "intermediate" }, { "name" : "Filing systems", "level" : "intermediate" }, { "name" : "Leave tracking", "level" : "intermediate" }, { "name" : "Payroll processing", "level" : "intermediate" }, { "name" : "Requisition preparation", "level" : "intermediate" }, { "name" : "Voucher preparation", "level" : "intermediate" }, { "name" : "Budget forms", "level" : "intermediate" }, { "name" : "Financial records", "level" : "intermediate" }, { "name" : "Payment requests", "level" : "intermediate" }, { "name" : "Correspondence review", "level" : "intermediate" }, { "name" : "Calendar maintenance", "level" : "intermediate" }, { "name" : "Meeting coordination", "level" : "intermediate" } ], "majorSkills" : "Administrative support, Office operations, Secretarial support", "majorSkillsList" : [ "Administrative support", "Office operations", "Secretarial support" ], "coreResponsibilities" : "Provide administrative support, Provide routine secretarial duties, Ensure smooth office operation, Operate major subdivision, Initiate department support, Monitor office operations, Organize office projects, Manage day-to-day operations, Organize school-division projects, Oversee program material development, Oversee special mailing development, Oversee procedure guide development, Oversee manual development, Oversee training material development, Screen director's calls, Screen director's mail, Respond to routine calls, Respond to routine mail, Forward calls to director, Forward mail to director, Relieve director of tasks, Supervise clerical staff, Supervise secretarial staff, Assign duties to staff, Review completed work, Attend meetings, Attend hearings, Attend conferences, Take official minutes, Make travel arrangements, Compile data for reports, Gather information from personnel, Interpret information from personnel, Process personnel evaluation reports, Process budget-related reports, Prepare presentation packets, Organize filing systems, Maintain filing systems, Reconcile various records, Track employee leave time, Process payroll files, Prepare requisitions, Prepare vouchers, Prepare budget forms, Maintain financial records, Reconcile financial records, Process payment requests, Compose routine correspondence, Compose newsletters, Compose other communications, Sign administrator's correspondence, Maintain control records, Follow up on work-in-progress, Ensure timely response, Ensure timely action, Review outgoing correspondence, Maintain supervisor's calendar, Coordinate meetings, Coordinate conferences, Notify attendees of meetings, Attend professional development", "teamCollaboration" : "Working with other employees; Working with school staff; Working with public", "projectManagementSkills" : [ "Office project management" ], "domainKnowledge" : "School system administration; District accounting; Financial programs", "domainList" : [ "school-system-administration", "district-accounting", "financial-programs" ], "domainSpecificKnowledge" : [ "School system administration", "District accounting", "Financial programs" ], "communicationSkills" : "Professional correspondence; Written reports", "documentationSkills" : "Procedure guides; Training materials", "continuousLearning" : "Professional development activities", "problemSolvingSkills" : "Sound judgment; Decision making", "specialRequirements" : "Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Occasional lifting, Occasional carrying, Work with hands, Reach with hands, Talk or hear, Close vision, Color vision, Adjust focus, Attendance at conferences, Attendance at professional development, Normal safety precautions, Prolonged hours, Irregular hours, Emotional control, Office environment, Frequent interruptions, Contact with students, Contact with parents, Moderate noise levels, High volume workflow, Work in classrooms, Work in offices, Work in workstations, Work in meeting rooms", "qualificationsBasic" : "High School diploma or GED, 3 years of secretary experience", "qualificationsPreferred" : "Post high school business coursework, Business management coursework", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Job Overview Provide administrative secretarial support to a non-campus or central office administrator. Provide routine secretarial duties/tasks and ensure the smooth and efficient operation of the office. Incumbent is responsible for the clerical operation of a major subdivision, requiring frequent contact with the most senior officials of the school system as well as community and business leaders. Position Description Essential Duties and Responsibilities Operation Plan, initiate, and carry to completion department, program or administrative secretarial support activities; develop, monitor and modify office procedures; organize office projects and processes; manage day-to-day office operations Organize school-division-wide projects, overseeing the development and dissemination of program materials, special mailings, procedure guides, manuals and training materials Screen director's telephone calls and mail, personally responding to those that can be handled at the secretarial level and forwarding the remaining calls/mail to director with pertinent background material Relieve director of routine administrative tasks and ensure smooth and efficient day-to-day operation of the department Supervise subordinate clerical/secretarial staff; assign other staff or serves as back up for other clerks/secretaries assigned to office. Assign duties and review completed work for accuracy and completeness Prepare meeting sites; attend meetings, hearings and conferences to take official minutes Make travel arrangements Administrative Compile data for reports and gather and interpret information from appropriate sources; process personnel evaluation reports, process budget-related documents; may prepare information and presentation in packets including graphs and charts Organize and maintain filing systems according to standard filing procedures and reconcile various records such as inventories of supplies and equipment; track employee leave time and work hours; may process and maintain payroll files for supplemental pay Prepare requisitions, vouchers, budget forms and other payroll and financial data; maintain and reconcile detailed financial records and requests for payment submitted by appropriate budget accounts; help with preparation of department budget Compose routine correspondence, newsletters and other communications not requiring supervisor's personal attention and may sign administrator's name to correspondence of a routine nature; compile data for questionnaires; maintain control records on incoming correspondence and action documents and follow up on work-in-progress to ensure timely response or action. Review all outgoing correspondence for format, spelling, punctuation, and grammar before submitting for supervisor's signature Maintain supervisor's calendar, coordinate meetings and conferences, scheduling time and place, and notifying attendees Attends professional development activities/programs to keep up with current developments and innovations in area of transportation 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. High School diploma or GED Including or supplemented by courses in computer programs and office practices; post high school business or business management course work highly desirable Minimum of 3 years of secretary experience preferred Ability to establish and maintain successful working relationships with fellow employees, central and school-based staff and the public, tactfully and courteously, and to work harmoniously with other employees Ability to compose written reports and professional correspondence Ability to communicate in a positive manner Ability to understand written and oral instructions Ability to make sound judgment and decisions Excellent interpersonal skills and strong organizational skills Proficient in the use of computer programs such as Excel, PowerPoint, and Word Knowledgeable of the district’s accounting/financial program 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 Work is performed in an office and is subject to frequent interruptions. Some assignments involve contact with disruptive students and angry parents. The work mostly involves only exposure to normal, everyday risks involved in contact with children and young adults. Some assignments are subject to completion within a strict timeline and involve the potential stress associated with time-sensitive completion of tasks. Some assignments involve moderate noise levels and high volume of workflow. This position might offer flexible work options, the incumbent might have the option to work some days in the office and some days remotely from their home at the discretion of their leader. TEXAS-SUGAR LAND", "summaryDescription" : "Executive Assistant Fine Arts. Skills: Administrative support, Office operations, Secretarial support. Provide administrative support. Provide routine secretarial duties", "createdAt" : "2026-06-14T20:44:29.883", "lastUpdated" : "2026-06-16T02:46:52.467", "ingestTimestamp" : "2026-06-14T20:44:29.883", "mongoId" : "6a1a087858b93c861e7046fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Secretarial duties", "Clerical operations", "Minute taking", "Travel arrangements", "Filing systems", "Leave tracking", "Payroll processing", "Requisition preparation", "Voucher preparation", "Budget forms", "Financial records", "Payment requests", "Correspondence review", "Calendar maintenance", "Meeting coordination", "Administrative support", "Office operations", "Secretarial support", "Office organization", "Project management", "Data compilation", "Record reconciliation", "Budget preparation", "Correspondence composition", "Office project management", "School system administration", "District accounting", "Financial programs" ], "skillCount" : 28, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 535.8985, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a879bc74574cbbb5044", "title" : "Principal Enterprise Account Manager, HiTech, Foundation Model Providers", "company" : "Amazon Web Services, Inc.", "industry" : "Sales, Advertising, Account Management, Tech Sales, Cloud Computing", "salary" : { "min" : 187000.0, "max" : 252900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, USA", "locations" : [ "Mountain View, California, USA" ], "timestamp" : "2026-06-15T01:38:27.358", "fingerprint" : "b6563827ee5f8abfb9a8729c0cf5413b1b6791a0c8f726759f0ca6b1e8f3cfad", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3200189/apply", "externalId" : "e2d27e50-74f0-403f-b696-e65df1d34a05", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "AWS", "professionalSkills" : [ "Business acumen", "Technical depth", "Territory strategy", "Deal negotiations" ], "hardSkillsList" : [ "Sales", "Business development" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Sales", "level" : "intermediate" }, { "name" : "Business development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, Foundation models, Account management", "majorSkillsList" : [ "Generative AI", "Foundation models", "Account management" ], "coreResponsibilities" : "Own strategic relationship, Drive revenue, Drive adoption, Drive market penetration, Develop territory strategy, Execute territory strategy, Deliver quarterly revenue targets, Sell at strategic C-level, Implement broad strategy, Earn customer acceptance, Implement service, Advocate for customer, Develop new service adoption, Develop new line of business", "teamCollaboration" : "Cross functional team; Extended team; Partner teams; Professional services teams; Training teams; Certification teams; Customer organization; Engineering teams; Infrastructure teams; Partner organizations; Sales teams; AWS resources; Executive teams; Partner teams; Support teams; Solution Architect teams", "domainKnowledge" : "Generative AI; Foundation models; AI companies; Cloud computing; Open-source models; Proprietary models", "domainList" : [ "generative-ai", "foundation-models", "ai-companies", "cloud-computing", "open-source-models", "proprietary-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Foundation models", "AI companies", "Cloud computing", "Open-source models", "Proprietary models" ], "communicationSkills" : "CXO level engagement; Client engagement", "problemSolvingSkills" : "Creative systems thinking", "outcomesObjectives" : "Consistently deliver quarterly revenue targets", "qualificationsBasic" : "10+ years technology sales, Experience with multiple stakeholders, Experience with C-level executives, Experience with cross-functional teams, Bachelor's degree or equivalent", "qualificationsPreferred" : "Experience with AWS technologies, Experience with cloud technologies, Experience with server technologies, Experience with infrastructure technologies, Experience with business models, Experience in large complex deal negotiations, Understanding of generative AI competitive landscape, Experience working with venture-backed companies, Experience working with high-growth AI-native companies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Principal Account Manager, Foundation Model Providers Are you passionate about the frontier of generative AI and foundation model development? Do you have the business acumen and technical depth to serve as a trusted advisor to some of the most innovative AI companies in the world? Are you excited about helping enterprise AI-native companies scale their infrastructure and go-to-market motion on AWS? As a Principal Account Manager for Foundation Model Providers, you will own the strategic relationship with two of the most consequential AI companies in the generative AI landscape. Your responsibilities will include driving revenue, adoption, and market penetration with enterprise accounts. The ideal candidate will possess both a sales and technical background that enables them to drive an engagement at the CXO level as well as with ai developers and engineers. You will be the leader of a cross functional team, shaping the strategy for partners, professional services, and training/certification. You will develop and execute against a territory strategy and consistently deliver on quarterly revenue targets. Key job responsibilities The Principal Account Executive is responsible for teaming with all aspects of the customer’s organization. This includes C-level executives, engineering, infrastructure, partner org, and sales. Skills required to build relationships across an account include creative systems thinking, visioning, and executing via collaboration with an extended team to address all foundational model needs across training, inference, and go-to-market workstreams. The Principal Account Executive is responsible for selling at the most strategic (C-level) within the account and implementing a broad strategy for earning customer acceptance and service implementation. The Principal Account Executive works collaboratively with all appropriate AWS resources (Executives, Partner, Support, Solution Architect) to support customer interests, and will understand how to strongly advocate for the customer in harmony with what the AWS business needs. In addition to new service adoption and new line of business development, this role includes dotted line responsibility for partnership and technical collaboration. A day in the life Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Basic Qualifications: - 10+ years of technology related sales, business development or equivalent experience - Experience working and communicating with multiple stakeholders, C-level executives and cross-functional teams - Bachelor's degree or equivalent Preferred Qualifications: - Experience with AWS technologies - Experience with cloud, server or infrastructure technologies and business models - Experience in large complex deal negotiations with a successful track record - Understanding of the generative AI competitive landscape, including open-source vs. proprietary model dynamics - Experience working with venture-backed, high-growth AI-native companies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. 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, CA, Irvine - 170,000.00 - 230,000.00 USD annually USA, CA, Mountain View - 187,000.00 - 252,900.00 USD annually USA, CA, San Francisco - 187,000.00 - 252,900.00 USD annually USA, CA, Santa Monica - 170,000.00 - 230,000.00 USD annually USA, WA, Bellevue - 170,000.00 - 230,000.00 USD annually USA, WA, Seattle - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Principal Enterprise Account Manager, HiTech, Foundation Model Providers at Amazon Web Services, Inc.. Skills: Generative AI, Foundation models, Account management. Own strategic relationship. Drive revenue", "postedDate" : "2026-06-13T03:44:13.955", "createdAt" : "2026-06-13T03:44:13.955", "lastUpdated" : "2026-06-15T01:38:27.358", "ingestTimestamp" : "2026-06-13T03:44:13.955", "mongoId" : "69c94a879bc74574cbbb5044", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3200189/apply", "salaryAnnualMin" : 187000, "salaryAnnualMax" : 252900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Sales", "Business development", "Leadership", "Generative AI", "Foundation models", "Account management", "Business acumen", "Technical depth", "Territory strategy", "Deal negotiations", "AI companies", "Cloud computing", "Open-source models", "Proprietary models" ], "skillCount" : 14, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 532.4244, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca61c74d8ee00a09b9a94", "title" : "Implementation Consultant, Large Deployments", "company" : "AlphaSense", "industry" : "SaaS", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Implementation Consultant in the US SaaS industry, adjusted for remote work and company size." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T00:40:35.257", "fingerprint" : "fdc42b6c3c351464e8a1248ba21687602f5a6ff4a4129885d6d88b59f4ade093", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphasense/jobs/8584858002", "externalId" : "8584858002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, Google Sheets", "professionalSkills" : [ "Client onboarding", "Change management", "Data analysis", "Process development" ], "hardSkillsList" : [ "Pivot tables", "Complex formulas", "Data validation" ], "softSkillsList" : [ "Client-focused" ], "hardSkills" : [ { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "Complex formulas", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Client-focused" } ], "majorSkills" : "Large deployments, Client relationship management, Process scaling", "majorSkillsList" : [ "Large deployments", "Client relationship management", "Process scaling" ], "coreResponsibilities" : "Manage onboarding and rollout of solutions, Execute large deployments, Build scalable processes, Translate client needs into actionable implementation plans, Develop detailed project plans, Define critical milestones, Proactively mitigate risks, Serve as main point of contact for deployment, Lead regular project status meetings, Align resources, Communicate progress, risks, and deployment status, Analyze implementation trends, Analyze potential bottlenecks, Translate data into clear, actionable insights, Identify areas for improvement in deployment methodologies, Develop and document best practices, Develop standardized playbooks, Implement scalable solutions, Develop understanding of the product, Develop understanding of customer persona, Develop understanding of reason for investment, Map investment reason to customer lifecycle", "teamCollaboration" : "Sales; Marketing; Product", "projectManagementSkills" : [ "Project planning", "Risk mitigation" ], "domainKnowledge" : "B2B SaaS", "domainList" : [ "b2b-saas" ], "domainSpecificKnowledge" : [ "B2B SaaS" ], "toolProficiency" : [ "Linear", "Jira", "Asana", "Rocketlane", "Salesforce" ], "communicationSkills" : "Persuade senior leadership; Communicate progress", "documentationSkills" : "Document best practices; Document playbooks", "problemSolvingSkills" : "Identify operational inefficiencies; Drive organizational change", "qualificationsBasic" : "4+ years client-facing Implementation Consultant or Professional Services Consultant experience, B2B SaaS environment experience, Experience with change management best practices, Familiarity with project management tools, Familiarity with CRM software, Proficient in Microsoft Excel/Google Sheets, Ability to look at deployment metrics, Ability to understand key trends, Ability to develop internal and external reports", "qualificationsPreferred" : "Eastern/Central US time zone preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! Location: US Remote (Eastern/Central Preferred) Reports to: Team Lead, Strategic Deployments About the Role: We are seeking a highly organized, data-driven, and client-focused Implementation Consultant to join our growing Customer Success team at AlphaSense. This role will manage the onboarding and rollout of our solutions for both new and existing enterprise clients, serving as the bridge between the pre-sale discussions and the onboarding experience for accounts. This role is foundational to our clients’ success and will be focused on executing large deployments, building processes that have scale in mind, and translating client needs into actionable implementation plans. Who You Are: At least 4+ years of experience as a client-facing Implementation Consultant or Professional Services Consultant in a B2B SaaS environment Experience with change management best practices, ensuring a successful transition for client organizations after deployment Strong sense of seeing a project through completion and managing tasks. Familiarity with project management tools (Linear, Jira, Asana, Rocketlane, etc.) and CRM software (Salesforce) for tracking deployments and client information is a must Understand how to slice through data, with the ability to look at deployment metrics, understand key trends, and develop both internal and external reports. Must be proficient in Microsoft Excel/Google Sheets (pivot tables, complex formulas, data validation) Interest in identifying operational inefficiencies and driving organizational change through the development of scalable processes and documentation. Excellent communication skills to persuade both senior client leadership and internal stakeholders to keep projects on track and mitigate risk What You’ll Do: Own the entirety of the deployment phase, including the development of detailed project plans, defining critical milestones, and proactively mitigating risks to ensure a successful deployment Serve as the main point of contact for deployment activities, leading regular project status meetings, aligning resources (e.g., Sales, Marketing, Product, etc), and communicating progress, risks, and deployment status Act as a resource for analyzing implementation trends, potential bottlenecks, and translating data into clear, actionable insights for both internal teams and external stakeholders. Actively identify areas for improvement in our existing deployment methodologies, develop and document best practices and standardized playbooks, and implement scalable solutions to ensure a smoother, faster onboarding experience for all future clients Develop a strong understanding of the product, the persona of customers, the reason for investment, and how this maps back to the customer lifecycle For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $100,000—$125,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.", "summaryDescription" : "Implementation Consultant, Large Deployments at AlphaSense. Skills: Large deployments, Client relationship management, Process scaling. Manage onboarding and rollout of solutions. Execute large deployments", "postedDate" : "2026-06-14T20:09:50.337", "createdAt" : "2026-06-14T20:09:50.337", "lastUpdated" : "2026-06-16T00:40:35.257", "ingestTimestamp" : "2026-06-14T20:09:50.337", "mongoId" : "6a2ca61c74d8ee00a09b9a94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Pivot tables", "Complex formulas", "Data validation", "Client-focused", "Large deployments", "Client relationship management", "Process scaling", "Client onboarding", "Change management", "Data analysis", "Process development", "Project planning", "Risk mitigation", "B2B SaaS", "Linear", "Jira", "Asana", "Rocketlane", "Salesforce" ], "skillCount" : 19, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 519.51855, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca47774d8ee00a09b2054", "title" : "Category Manager- Fine Jewelry", "company" : "Mejuri", "industry" : "Retail", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Category Manager in the Retail industry in New York, adjusted for company size and seniority." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T05:14:00.058", "fingerprint" : "9618787d07fadb7c94ecebed9a8331bf78e1c9ad02bb15a30fb27d188844ea48", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mejuri/jobs/4688312006", "externalId" : "4688312006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Category growth", "Revenue performance", "Product introduction", "Assortment management", "OTB management", "Pricing management", "Lifecycle exit decisions", "Commercial rigor", "Pace" ], "hardSkillsList" : [ "BI tools", "Dashboards" ], "hardSkills" : [ { "name" : "BI tools", "level" : "intermediate" }, { "name" : "Dashboards", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Category management, Assortment management", "majorSkillsList" : [ "Product strategy", "Category management", "Assortment management" ], "coreResponsibilities" : "Drive category growth, Contribute to revenue performance, Own full product lifecycle, Identify white space, Partner with Product Development, Manage assortment, Manage OTB, Manage pricing, Make bets on newness, Fill gaps in mix, Ensure right product, Shape category assortment, Bring decisions to life", "teamCollaboration" : "Cross-functional teams; Merchandise Planning; Product Development; Marketing; Retail", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Fine jewelry", "domainList" : [ "fine-jewelry" ], "domainSpecificKnowledge" : [ "Fine jewelry" ], "continuousLearning" : "AI learning", "problemSolvingSkills" : "Data-driven decisions; Customer insights", "outcomesObjectives" : "Drive category growth; Contribute to revenue performance", "qualificationsBasic" : "58+ stores worldwide experience, Data, market trends, customer insights, Product lifecycle ownership, Cross-functional collaboration", "qualificationsPreferred" : "AI fluency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Since 2015, Mejuri has reimagined what fine jewelry can be in a modern world—shifting it from a traditional gift to to a personal choice rooted in self-expression. Founded by third-generation jeweller Noura Sakkijha, the brand was built on a simple idea: fine jewelry shouldn’t require a special occasion, and it should never come with guilt. It’s about celebrating yourself—your style, your life, your everyday. Mejuri meets customers where they are—online, in app, and through a growing global retail footprint of 58+ stores worldwide. Mejuri is also deeply committed to doing things the right way, with responsible sourcing, sustainable practices, and philanthropic initiatives that reflect our values and long-term vision. Job Overview The Category Manager is responsible for driving category growth and contributing directly to Mejuri's revenue performance. This role owns the full product lifecycle — from identifying white space and partnering with Product Development on new product introduction, to managing the assortment, OTB, and pricing, through to lifecycle exit decisions. You will use data, market trends, and customer insights to build and shape the category assortment — making bets on newness, filling gaps in the mix, and ensuring Mejuri has the right product in the right channels at the right time. You'll work closely with Merchandise Planning, Product Development, Marketing, and Retail to bring those decisions to life with commercial rigor and pace. This role sits within a lean Merchandising team and is well-suited for someone who thrives with high ownership, is comfortable operating in both a strategic and executional capacity, and has a genuine interest in building and shaping the merchandising function at a high-growth brand. What you'll do Product Portfolio Strategy comfort working with BI tools and dashboards. Direct experience working cross-functionally with Product Development, Planning, Supply Chain, Marketing, and Retail teams to bring products to market. AI fluency: We're building an AI-fluent organization. We welcome candidates at all stages of their AI journey — what matters is curiosity, a willingness to learn, and an openness to working alongside AI tools as part of how we do our best work. Benefits at Mejuri: A minimum of four weeks vacation, plus personal days and three religious/cultural observance days. A hybrid work model for all corporate roles ‘Mejuri Passport’ which allows employees who meet specific criteria to work in other locations for one month per year. Comprehensive medical and dental benefits, including mental health coverage, and generous personal and sick days for our full-time employees. We also offer bereavement leave, including miscarriage and stillbirth support. Parental leave salary top-up of up to 80%, as well as a personalized return-to-work transition and accommodation plan for full-time employees. A generous product discount! Please note that these benefits apply to full-time employees. Location New York, NY 205 Hudson Street Hybrid, 3 days in office 2 days remote Salary 115k-135K Looking for the perfect next opportunity is a big decision. Mejuri recognizes the importance of pay transparency when it comes to salary ranges as it empowers individuals through the hiring process and supports them in making an informed decision. This role currently has a base pay range of 115K-135k per annum based on a candidate’s experience and qualifications. We will review individual salary expectations and **weight salary commensurate with experience. At Mejuri, we use AI-assisted tools as part of our recruitment process to help screen and assess candidate applications. All hiring decisions involve human review, and our Talent team remains responsible for evaluating candidates and making final decisions throughout the process. #LI-Onsite At Mejuri our success is driven by a strong commitment to our Purpose and Values. They're the foundation of our operations, defining how we show up, solve problems, and accomplish incredible things—together. Our strength comes from each team member's dedication to embracing and embodying these Values daily. This isn't merely a duty; it's a passion that defines us. They guide us in providing extraordinary experiences for our customers and fostering an innovative environment. Success, for us, means living our values relentlessly. Our values are: RAISE THE BAR | Stay Curious, Share/Seek Feedback, and Strive for Excellence CUSTOMER OBSESSED | Get close to the customer and prioritize them in our decisions EMPOWERED OWNERS | Treat the company like your own, take initiative FIND A WAY | Seek simple, creative solutions, and act fast DRIVE RESULTS | Be clear on your goals and be relentless in achieving them TEAM FIRST | Value team success over personal ego Accommodation / Accessibility: Mejuri does not discriminate in hiring or terms and conditions of employment because of an individual’s race, ancestry, colour, place of origin, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, family status or marital status, or any other protected category recognized by provincial or federal laws. Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.", "summaryDescription" : "Category Manager- Fine Jewelry at Mejuri. Skills: Product strategy, Category management, Assortment management. Drive category growth. 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"Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f8af292fd229c05a7f3", "title" : "Strategy and Insights Manager, Large Customer Sales", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Singapore, adjusted for the Strategy and Insights Manager role in Large Customer Sales." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]", "[Jakarta, Indonesia, [Jakarta, Indonesia], Jakarta, null, Jakarta, ID]" ], "timestamp" : "2026-06-16T12:48:19.544", "fingerprint" : "fb3708c7bbeae3f28c2f462c1071d95fa82976f18f5081e0ed6c457d31ce7ae9", "source" : "google", "language" : "en", "externalId" : "121219640893285062", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceLevel" : "Manager", "remoteFriendly" : false, "summaryDescription" : "Strategy and Insights Manager, Large Customer Sales", "postedDate" : "2026-06-16T01:49:20.394", "createdAt" : "2026-06-16T01:49:20.394", "lastUpdated" : "2026-06-16T12:48:19.544", "ingestTimestamp" : "2026-06-16T01:49:20.394", "mongoId" : "6a307f8af292fd229c05a7f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "_score" : 471.02155, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.9 }, { "id" : "6a306602f292fd229cfad70e", "title" : "IT Communications and Training Specialist", "company" : "Flynn Group of Companies", "industry" : "Information Technology/IT", "salary" : { "min" : 70000.0, "max" : 80000.0, "currency" : "CAD", "frequency" : "yearly" }, "location" : "Mississauga, ON", "locations" : [ "Mississauga, ON" ], "timestamp" : "2026-06-16T11:00:54.336", "fingerprint" : "c2e6e72bb6cef1cd21ddae7a74a8339a1f9b2f5abb8b773990cf45567bf81c3e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/flynncompanies/4d549632-3667-42cd-9c35-8174c007a247/apply", "externalId" : "4d549632-3667-42cd-9c35-8174c007a247", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mississauga", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.5884727,-79.6436580" } ], "locationText" : "Mississauga, Ontario, Canada", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Task management", "Time management", "Organization" ], "hardSkillsList" : [ "Instructional design", "Content creation" ], "hardSkills" : [ { "name" : "Instructional design", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" } ], "majorSkills" : "IT communications, Training development, Learning initiatives", "majorSkillsList" : [ "IT communications", "Training development", "Learning initiatives" ], "coreResponsibilities" : "Develop communication strategies, Implement communication strategies, Develop training programs, Implement training programs, Develop training materials, Implement training materials, Enable employees to use IT systems, Enable employees to understand IT systems, Learn business systems, Learn business processes, Help new employees settle, Provide hands-on training, Develop quick reference materials, Keep employees up to date, Communicate IT changes, Deliver IT communications, Develop training on Enterprise Applications, Deliver training on Enterprise Applications, Develop training on custom applications, Deliver training on custom applications, Develop training on mobile applications, Deliver training on mobile applications, Manage learning initiatives, Define learning initiative plans, Adhere to learning initiative timelines, Facilitate learning initiative implementation, Determine training objectives, Determine training methods, Develop course content, Consult with subject-matter experts, Prepare lesson plans, Prepare visual aids, Prepare handouts for instruction, Ensure consistent communication of training, Participate in assessment of IT projects, Participate in planning of IT projects, Determine IT project priorities, Support change management, Provide training advice, Provide development advice, Create training activities, Create learning activities, Align communication efforts with goals, Align training efforts with goals", "teamCollaboration" : "Internal Learning & Development team; IT teams; HR; Key stakeholders; Business partners; Internal customers", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Building envelope contracting", "domainList" : [ "building-envelope-contracting" ], "domainSpecificKnowledge" : [ "Building envelope contracting" ], "communicationSkills" : "Stakeholder communication; End-user communication; Team member communication; Written materials", "documentationSkills" : "Process documentation; Procedure documentation; Policy documentation; Instructional materials creation", "continuousLearning" : "Funded training and development", "innovationCreativity" : "Fuel BIG innovations", "problemSolvingSkills" : "Translate technical information", "qualificationsBasic" : "Bachelor's degree in IT or Communications, Equivalent work experience, Proven experience in IT communications or training, Advanced verbal communication skills, Advanced written communication skills", "qualificationsPreferred" : "Experience with Adobe Creative Suite, Experience with Camtasia, Experience with Articulate, Experience with other eLearning authoring tools, Experience working with Learning Management Systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description At Flynn, it's not just a job, it's a career Flynn Group of Companies, North America’s leading building envelope contractor is looking for an IT Communications and Training Specialist to work from our Mississauga location. Imagine a career where your creativity and training skills can fuel BIG innovations. Where your work will have an impact on the productivity of your client’s day-to-day lives. - In this role you will be responsible for developing and implementing communication strategies, training programs, and materials that enable our employees to effectively use and understand our IT systems, software, and tools. You will learn multiple business systems and processes, and help new employees settle into their roles by providing personalized, hands-on training. Development of quick reference materials to further guide new and current employees will be essential to keeping our employees up to date on existing and new applications, features, and tools within the organization.  - You’ll also be the primary point person for all IT communications and delivering these in the most effective method so that our Flynn community can understand the impacts of the changes being communicated to them. This role will provide career growth opportunity for someone early in their communications and IT career as the role will require working with Flynn’s internal Learning & Development team to learn industry and Flynn standards for communications and training. Role Overview - The ability to communicate effectively across all levels of the organization will be key to success in this role. - We’re looking for someone to develop and deliver training on our Enterprise Applications along with custom web and mobile applications that are built in-house.  - Development and training projects will typically be implementation of new software, enhancements for existing ERP and custom software, onboarding of new entities resulting from M&A activity and rolling out infrastructure solutions.  A Day in the Life - Develop and execute a comprehensive communication strategy for IT initiatives, projects, and updates. - Maintain up-to-date documentation for IT processes, procedures, and policies. - Project manage learning initiatives by defining plans, adhering to timelines, and facilitating implementation. - Conducts training needs analysis; determines training objectives and methods of instruction; develops course outlines; consults with subject-matter experts to design training; prepares lesson plans, visual aids, and handouts for use in instruction. - Ensure consistent communication of training initiatives throughout our Canadian and US operations. - Participate in the assessment and planning of new Information and Technology projects, to help determine priorities and support change management. - Provide training and development advice to stakeholders on challenges, performance gaps and solutions. - Work together with Learning and Development team and key stakeholders to create training and learning - activities. - Collaborate with IT teams and HR to align communication and training efforts with organizational goals. About You - Be passionate about delighting our customers. - Outstanding communication skills. You know how to speak to stakeholders, end-users, and team members of all levels (technical/non-technical). - The written materials you produce are equally impressive and effective. - Excellent organization, time management, and task management skills - Ability to collect, organize, maintain, analyze, and disseminate significant amounts of information and translate these into concise, informative, and easily digestible training content. - Skilled at creating instructional materials (software tutorials, user guides, job aids, etc.) that transform technical information into engaging instruction. - Ability to work well both independently and in a team setting. - Ability to forge strong partnerships with business partners and internal customers. - Must have the aptitude and desire to learn new competencies and skills. Skills/Qualifications - Bachelor’s degree in information technology, Communications, or a related field (or equivalent work experience). - Proven experience in IT communications, training, or a related role. - Experience with Adobe Creative Suite (Photoshop, Illustrator, etc.), Camtasia, Articulate, or other eLearning authoring tools is an asset. - Experience working with Learning Management Systems is beneficial. - Technologically savvy and able to pick up new products and processes with ease. - Advanced verbal and written communication skills - Exceptional team player with a strong customer service orientation. What We Offer *Funded training and development program  *Subsidized in-house cafeteria and gym   *Dental and supplemental medical plan  *RRSP contributions  *Employee and Family Assistance Program  *Free parking and EV Charging facility   *Family Events and Flynn Fest  *Sports Sponsorship Program  *Rogers Preferred Program  *Perkopolis Retailer Discounts  ## Additional Information #LI-AD1 Flynn Group of Companies is the leading trade contractor in North America that works on virtually every aspect of a building’s outer layer, including Roofing, Glazing, Waterproofing, and Architectural Metals. The foundation of our award winning success is having the right people on our team. Disclosure: We use an AI-powered system to initially screen resumes. However, all applications/resumes are also reviewed by our team of Human Resources and Talent Acquisition Professionals to ensure a fair and thorough evaluation in determining a candidate’s potential fit for a role they applied to. This posting is for an existing vacancy within the organization.", "summaryDescription" : "IT Communications and Training Specialist at Flynn Group of Companies. Skills: IT communications, Training development, Learning initiatives. Develop communication strategies. Implement communication strategies", "postedDate" : "2026-06-15T19:23:00.361", "createdAt" : "2026-06-15T19:23:00.361", "lastUpdated" : "2026-06-16T11:00:54.336", "ingestTimestamp" : "2026-06-16T03:25:16.245", "mongoId" : "6a306602f292fd229cfad70e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Instructional design", "Content creation", "IT communications", "Training development", "Learning initiatives", "Task management", "Time management", "Organization", "Project management", "Building envelope contracting" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 460.48083, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1dc70f0b99d58d66e3a", "title" : "Principal Applied Scientist, AGI Foundations", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Artificial Intelligence", "salary" : { "min" : 179000.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T09:19:51.035", "fingerprint" : "2b6cf8770992355deefd6060592c16532820a8715d4cb5d23b3970eb2b103232", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102574/apply", "externalId" : "a33fb0c2-2341-4604-a786-849c6a5de168", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, C++, Generative AI, Large language models, Multimodal models, Computer vision, Machine learning, PyTorch, TensorFlow, Scikit-learn, Hugging Face", "professionalSkills" : [ "Algorithm design", "Model structure", "Scientific reviews", "Experimental design", "Problem decomposition", "Strategy development" ], "hardSkillsList" : [ "Predictive modeling", "Data analysis", "Algorithm design", "Model structure", "Scientific reviews", "Experimental design", "Problem decomposition", "Strategy development" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Model structure", "level" : "intermediate" }, { "name" : "Scientific reviews", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Problem decomposition", "level" : "intermediate" }, { "name" : "Strategy development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Machine Learning, Large language models, Computer Vision", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Large language models", "Computer Vision" ], "coreResponsibilities" : "Define research directions, Invent machine learning techniques, Conduct rigorous experiments, Publish research results, Translate research into practice, Develop long-term strategies, Persuade teams to adopt strategies, Propose goals, Deliver on goals, Participate in organizational planning, Participate in hiring, Participate in mentorship, Participate in leadership development, Build scalable science solutions, Build scalable engineering solutions, Serve as scientific resource, Lead scientific reviews, Review experimental design, Review modeling, Review verification, Review research procedures, Probe assumptions, Illuminate pitfalls, Foster shared understanding, Align teams toward strategies, Educate scientific community, Keep community updated, Guide career growth, Develop junior scientists, Develop junior leads, Drive development of GenAI, Handle Amazon-scale use cases, Impact customer experiences, Develop multimodal LLMs, Develop Gen AI, Provide customer experience", "teamCollaboration" : "Cross-organization views; Organizational planning; Leadership development", "domainKnowledge" : "Artificial General Intelligence; Generative AI; Large language models; Multimodal models; Computer vision; Amazon-scale use cases", "domainList" : [ "artificial-general-intelligence", "generative-ai", "large-language-models", "multimodal-models", "computer-vision", "amazon-scale-use-cases" ], "domainSpecificKnowledge" : [ "Artificial General Intelligence", "Generative AI", "Large language models", "Multimodal models", "Computer vision", "Amazon-scale use cases" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "Scikit-learn", "Hugging Face" ], "innovationCreativity" : "Invent machine learning techniques; Develop long-term strategies", "problemSolvingSkills" : "Decompose complex problems; Tackle intrinsically hard problems", "outcomesObjectives" : "Impact customer experiences", "qualificationsBasic" : "5+ years predictive modeling, PhD in Electrical Engineering, PhD in Computer Science, PhD in Mathematics, Experience programming in Java, Experience programming in C++, Experience programming in Python, Leading experienced scientists, Developing junior members", "qualificationsPreferred" : "10+ years of experience, Experience with AWS, Experience with GCP, Experience with Azure, Experience with PyTorch, Experience with TensorFlow, Experience with scikit-learn, Experience with Hugging Face, Experience with large language models, Experience with multimodal models, Experience with computer vision, Experience with Generative AI, Experience with Amazon-scale use cases, Experience with scientific reviews, Experience with experimental design, Experience with modeling, Experience with verification, Experience with research procedures, Experience with mentoring, Experience with hiring, Experience with developing scientists, Experience with developing leads, Experience with organizational planning, Experience with leadership development, Experience with full-cycle development, Experience with conception, Experience with design, Experience with implementation, Experience with testing, Experience with documentation, Experience with delivery, Experience with maintenance, Experience with multimodal LLMs, Experience with Gen AI, Experience with Computer Vision", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Principal Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The AGI team has a mission to push the envelope with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers. Basic Qualifications: - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - Experience working in predictive modeling and analysis - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment Preferred Qualifications: - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and complexity analysis - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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" : "Principal Applied Scientist, AGI Foundations at Amazon.com Services LLC. Skills: Generative AI, Machine Learning, Large language models, Computer Vision. Define research directions. 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Skills: Reconstruction project management, Large loss handling. Manage large loss reconstruction projects. 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City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. We are seeking a Pharmacy Technician II! This position requires a California Registered Technician who will operate under Pharmacist Supervision. The primary responsibilities include packaging, preparation, and compounding of oral medications, intravenous medications, as well as chemotherapy/biohazard medications. Additionally, the role involves implementing and maintaining control procedures, conducting inventory management, and overseeing stock control. As a successful candidate, you will:  Ensure compliance with USP 797 & 800 at all times. Utilize proper aseptic technique for all pharmaceutical mixing. Order, receive, and maintain accurate medication inventory. Coordinate with Specialty Pharmacies or manufactures for timely deliveries of medications for infusion. Performs routine daily, weekly, and monthly cleaning as required. Procure and maintain supplies necessary for daily mixing operation. Prescription order entry and process. Coordination and submission of prior authorizations. Determination of patient’s prescription benefits and seeks appropriate financial assistance when applicable. Order, receive and maintain accurate medication inventory. Assist with routing and release of prescriptions to the appropriate pharmacy Properly label and fills prescription drugs. Your qualifications should include: High School or equivalent or Post High School vocational/specialized training or Graduation from a foreign school of Pharmacy 3 or more years of performing related duties as a pharmacy technician Certified Pharmacist Technician (CPhT) from Pharmacy Technician Certification Board (PTCB), preferred Additional Information: Hourly Per Diem Rate: $32.19 City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . 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is based on the market baseline for a Training Specialist in Indianapolis, adjusted for mid-seniority and the legal industry." }, "location" : "Indianapolis", "locations" : [ "Indianapolis", "Chicago" ], "timestamp" : "2026-06-16T12:03:48.294", "fingerprint" : "1f35a8054be99559207fa00521ed1d88a3215dc853e8336bd54814d4e931e675", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/barnes/96422f7e-71af-49f8-868d-459a9b85c7d3/application", "externalId" : "96422f7e-71af-49f8-868d-459a9b85c7d3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7683331,-86.1583502" } ], "locationText" : "Indianapolis, Indiana, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Instructional design", "Needs assessment", "Skill gap analysis", "Role-based training", "Change management", "Curriculum development", "User support", "Software evaluation", "User testing", "Training strategy" ], "hardSkillsList" : [ "Technology training", "Adult learning theory", "AI adoption", "Generative AI", "Learning Management System", "Compliance reporting", "Utilization reporting", "User feedback analysis", "Performance support" ], "hardSkills" : [ { "name" : "Technology training", "level" : "intermediate" }, { "name" : "Adult learning theory", "level" : "intermediate" }, { "name" : "AI adoption", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Learning Management System", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" }, { "name" : "Utilization reporting", "level" : "intermediate" }, { "name" : "User feedback analysis", "level" : "intermediate" }, { "name" : "Performance support", "level" : "intermediate" } ], "majorSkills" : "Technology training, Instructional design, Learning Management System, AI adoption", "majorSkillsList" : [ "Technology training", "Instructional design", "Learning Management System", "AI adoption" ], "coreResponsibilities" : "Design new hire technology training, Develop new hire technology training, Deliver new hire technology training, Design ongoing technology training, Develop ongoing technology training, Deliver ongoing technology training, Develop training materials, Develop performance support resources, Develop quick reference guides, Develop e-learning modules, Develop microlearning videos, Develop interactive tutorials, Develop training on AI-powered tools, Deliver training on AI-powered tools, Develop training on generative AI applications, Deliver training on generative AI applications, Contribute to technology training strategy, Execute technology training strategy, Track training metrics, Produce reports measuring effectiveness, Produce reports measuring adoption, Produce reports measuring learner progress, Partner to conduct needs assessments, Partner to identify skill gaps, Develop targeted role-based training curriculum, Lead technology change management efforts, Develop quality communication plans, Develop training timelines, Develop training curriculum, Develop support resources, Administer Learning Management System, Maintain Learning Management System, Publish LMS content, Manage LMS learning paths, Manage LMS course catalog, Track LMS completion records, Generate LMS compliance reports, Generate LMS utilization reports, Participate in software evaluation, Participate in software pilots, Conduct user testing, Gather user feedback, Present findings to IT management, Present training recommendations to IT management, Evaluate training program effectiveness, Identify opportunities to improve content, Identify opportunities to improve delivery methods, Identify opportunities to improve end-user learning experience, Maintain knowledge of legal technology trends, Maintain knowledge of instructional design methodologies, Maintain knowledge of emerging law firm technologies", "teamCollaboration" : "Collaborative Training team; Legal personnel; Business professionals; IT leadership; Practice group leaders; SMEs; IT project managers; User support professionals", "projectManagementSkills" : [ "Change management", "Project initiatives" ], "domainKnowledge" : "Legal software; Legal practice operations; Law firm technologies; Legal technology trends", "domainList" : [ "legal-software", "legal-practice-operations", "law-firm-technologies", "legal-technology-trends" ], "domainSpecificKnowledge" : [ "Legal software", "Legal practice operations", "Law firm technologies", "Legal technology trends" ], "toolProficiency" : [ "Microsoft Office 365", "Microsoft Word Styles", "Legal Numbering software", "Camtasia", "Adobe Captivate", "Articulate" ], "communicationSkills" : "User-focused learning; Quality communication plans", "documentationSkills" : "Training materials; Performance support resources; Quick reference guides; E-learning modules; Microlearning videos; Interactive tutorials; Communication plans; Training timelines; Support resources", "continuousLearning" : "Maintain current knowledge", "problemSolvingSkills" : "Needs assessments; Identify skill gaps; Software evaluation; User testing; Gather feedback; Present findings; Training recommendations; Evaluate training program effectiveness; Identify opportunities to improve", "specialRequirements" : "Ability to travel as needed", "outcomesObjectives" : "Support adoption; Support efficiency; Support client service; Enhance high quality user adoption; Enhance high quality user acceptance", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 3-5 years experience in law firm, professional services, L&D, or IT training, Experience with document management systems, Experience with communications/collaboration platforms, Experience with Microsoft Office 365 Suite, Experience with Microsoft Word Styles, Experience with Legal Numbering software, Experience in course design and development, Working knowledge of adult learning theory", "qualificationsPreferred" : "Learning Management System (LMS) Development or Administration experience, Content creation and editing software experience, AI prompts, instructions, and workflows experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary: The IT Training Specialist works collaboratively within a collaborative Training team with legal personnel and business professionals to assess technology training needs and deliver practical, user-focused learning solutions. This role is designed and facilitates engaging training on core business applications and legal software, using instructor-led, and virtual learning methods to support adoption, efficiency, and client service. Responsibilities: - Designs, develops, and delivers new hire and ongoing technology training across multiple modalities, including classroom, virtual (VILT), one-on-one coaching, and on demand e-learning across all firm office locations. - Develops training materials and performance support resources, including quick reference guides, e-learning modules, microlearning videos, and interactive tutorials tailored to attorneys, paralegals, and business professionals. - Supports the firm’s AI adoption initiatives by developing and delivering training on available AI-powered tools and firm-approved generative AI applications used in legal practice operations. - Contributes to and executes the firmwide technology training strategy under the direction of the Training Manager; tracks training metrics and produces reports measuring effectiveness, adoption, and learner progress across all offices. - Partners with IT leadership, practice group leaders, and SMEs to conduct needs assessments, identify skill gaps, and develop targeted role-based training curriculum aligned with firm business goals. - Leads technology change management efforts for new software and upgrades for project initiatives with IT project managers and other IT administrative and user support professionals. Develop quality communication plans, training timelines, curriculum, and support resources. - Administers and maintains the firm’s Learning Management System (LMS), including publishing content, managing learning paths and course catalog, tracking completion records, and generating compliance and utilization reports for firm leadership. - Participates in software evaluation and pilot programs; conducts user testing, gathers feedback, and presents findings and training recommendations to IT management prior to firmwide deployment. - Evaluates training program effectiveness using learner feedback, knowledge assessments, and post-training performance data; identifies opportunities to improve content, delivery methods, and the end-user learning experience to enhance high quality user adoption and acceptance. - Maintains current knowledge of legal technology trends, instructional design methodologies, and emerging law firm technologies to enhance the relevance and quality of training programs. The employee must be able to perform all essential job duties and responsibilities of this position satisfactorily and as outlined, with or without reasonable accommodations. Reasonable accommodation requests may be accommodated, absent undue firm hardship. Qualifications: - Bachelor’s degree or equivalent experience - 3-5 years of experience in a law firm, professional services, Learning & Development or a related IT training role. - Experience with document management systems, communications/collaboration platforms and Microsoft Office 365 Suite. - Experience with Microsoft Word Styles and Legal Numbering software. - Experience in course design and development and a working knowledge of adult learning theory. - Experience with a Learning Management System (LMS) Development or Administration, is highly desirable. - Experience in content creation and editing software using Camtasia, Adobe Captivate, or Articulate, is highly desirable. - Experience with AI prompts, instructions, and AI-powered workflows, is highly desirable. - Ability to travel as needed. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. Working Conditions: - Normal office environment with little exposure to excessive noise, dust, temperature, and the like. - Reasonable accommodation requests may be accommodated, absent undue firm hardship. Equal Employment and Opportunity Statement: Barnes & Thornburg is committed to equal employment opportunity in both principle and as a matter of policy. We will recruit, hire, train, promote, compensate and provide benefits to all applicants and employees without regard to ancestry, sex, race, color, ethnicity, national origin, gender, age, religion, religious creed, mental and/or physical disability, medical condition, military and/or veteran’s status, genetic information, marital status, sexual orientation, gender identity and/or expression, or any other basis protected by applicable federal, state and local laws. This policy applies to all recruiting, hiring, promotions, upgrades, layoffs, compensation, benefits, terminations and all other privileges, terms and conditions of employment. The firm complies fully with all federal, state and local equal employment opportunity laws.", "summaryDescription" : "Training Specialist at Barnes & Thornburg. Skills: Technology training, Instructional design, Learning Management System, AI adoption. Design new hire technology training. Develop new hire technology training", "createdAt" : "2026-06-16T00:28:14.893", "lastUpdated" : "2026-06-16T12:03:48.294", "ingestTimestamp" : "2026-06-16T00:28:14.893", "mongoId" : "6a306e6ff292fd229cfdf276", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Technology training", "Adult learning theory", "AI adoption", "Generative AI", "Learning Management System", "Compliance reporting", "Utilization reporting", "User feedback analysis", "Performance support", "Instructional design", "Needs assessment", "Skill gap analysis", "Role-based training", "Change management", "Curriculum development", "User support", "Software evaluation", "User testing", "Training strategy", "Project initiatives", "Legal software", "Legal practice operations", "Law firm technologies", "Legal technology trends", "Microsoft Office 365", "Microsoft Word Styles", "Legal Numbering software", "Camtasia", "Adobe Captivate", "Articulate" ], "skillCount" : 30, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 443.23068, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305144f292fd229cefd392", "title" : "Training Coordinator", "company" : "Emergency Veterinary Care Center", "industry" : "Healthcare", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Training Coordinator in Westville, United States, adjusted for the Healthcare industry and company size." }, "location" : "Westville, Indiana, United States", "locations" : [ "Westville", "Indiana", "United States" ], "certifications" : [ "Veterinary Technician license" ], "timestamp" : "2026-06-16T06:56:37.289", "fingerprint" : "115d1b781900d6a348ec1d1e5a8e0644901b6ba55ed76ec43a8a41aa25d1805d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://evcc.com/join-our-team/jobs/?gh_jid=5251657008", "externalId" : "5251657008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Westville", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.5463225,-86.8969236" } ], "locationText" : "Westville, Indiana, United States", "professionalSkills" : [ "Veterinary workflows", "Clinic operations" ], "hardSkillsList" : [ "Veterinary technician skills" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Veterinary technician skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Training program development, Employee development, Veterinary medicine", "majorSkillsList" : [ "Training program development", "Employee development", "Veterinary medicine" ], "coreResponsibilities" : "Partner with leadership to identify training needs, Assess assistants and technicians, Implement training programs, Serve as training lead, Provide on-the-floor mentoring, Provide strategic development, Offer hands-on training, Organize peer training opportunities, Build a mentoring culture, Collaborate with nursing manager(s), Collaborate with professional networks, Develop training content, Refine training content, Ensure training aligns with culture, Ensure training aligns with mission, Ensure training aligns with standards, Evaluate leveling programs, Improve leveling programs, Encourage CE use", "teamCollaboration" : "Location nursing manager(s); Professional networks", "domainKnowledge" : "Emergency veterinary medicine; Veterinary technician protocols", "domainList" : [ "emergency-veterinary-medicine", "veterinary-technician-protocols" ], "domainSpecificKnowledge" : [ "Emergency veterinary medicine", "Veterinary technician protocols" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Continuing education stipend", "qualificationsBasic" : "Graduate of AVMA-accredited veterinary technician program, Licensed or eligible to be credentialed as Veterinary Technician, 3+ years clinical veterinary experience, Minimum 1 year ER experience", "qualificationsPreferred" : "Previous training or teaching experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "Make a Difference When It Matters Most. At Emergency Veterinary Care Centers (EVCC), we show up for pets and the people who love them on some of their hardest days. If you thrive in fast-paced environments, believe teamwork saves lives, and want to work somewhere your voice truly matters — this could be your place. Who We Are EVCC was created by veterinarians, for veterinarians — and for the communities they serve. Founded by 36 local general practice veterinarians (many still actively involved today), we were built to support the veterinary community, not compete with it. Our Westville hospital is our first location, and we are proud to bring trusted, emergency-only care to the region. But what truly defines EVCC isn’t just what we do — it’s how we do it. We: Lead with compassion Respect and elevate our team members Support each other without ego Communicate openly and professionally Recognize that emergency medicine is demanding — and take care of our team because of it What Life Is Like at EVCC We genuinely care about whoever walks through our doors — whether it’s a critical patient, an anxious pet parent, or a teammate who needs support during a tough shift. Emergency medicine is intense. It’s emotional. It’s unpredictable. But it’s also deeply meaningful. You won’t be “just a coordinator” here. Your skills, instincts, and leadership matter. You will shape training programs, support career growth, and help build a culture where every team member can succeed. Growth is encouraged, not gatekept. Your Role as a Training Coordinator As a Training Coordinator, you have one of the most meaningful jobs at EVCC: helping others grow. You’ll lead with curiosity, coach with compassion, and obsess over development. You’re not just building skills—you’re building confidence, momentum, and careers in emergency medicine. Whether you’re working 1:1 on the floor, guiding peer-led sessions, or developing educational tools, your impact will be felt hospital-wide. You’ll tailor training to every learning style and celebrate every milestone! Your work helps make EVCC a place where people learn, lead and love what they do. WHAT YOU'LL DO Partner with leadership to identify individual and team training needs Assess assistants and credentialed technicians through direct observation and real-time immersion Implement EVCC training programs and serve as the go-to training lead at your hospital Split your time between on-the-floor mentoring and strategic development Provide tailored, hands-on training for all learning styles and skill levels with patience and understanding Organize peer training opportunities and build a strong mentoring culture Collaborate with the location nursing manager(s) and professional networks to broaden location-specific training needs Develop and refine training content (i. e. presentations, videos, simulations, and assessments) Ensure all training aligns with EVCC's culture, mission, and emergency standards of care Continually evaluate and improve leveling programs for assistants and technicians Encourage team members to use portions of their CE allowance to grow their skills Model professionalism, positivity, and strong work ethic in every interaction Who Thrives Here WHAT YOU'LL NEED Graduate of an AVMA-accredited veterinary technician program (Required) Licensed or eligible to be credentialed as a Veterinary Technician in your state 3+ years of clinical veterinary experience (minimum 1 year in ER preferred) Previous training or teaching experience preferred but not required Hands-on knowledge of veterinary workflows, protocols, and clinic operations Strong written and verbal communication skills Excellent organization and time-management abilities Ability to lead by example and coach effectively Flexibility to adjust scheduling for team training needs Calm under pressure, positive, and adaptable to different learning styles How We Invest In You We believe people do their best work when they feel valued and supported. WE OFFER Competitive compensation (depending on experience) including base and 401K match Comprehensive health and wellness benefits that start on day one Flexible work schedules to support your life outside of work Paid Time Off (PTO) because we truly believe in TREAT YOUR SELF mentality License Renewal Fees covered A BIG focus on learning and growing, we stipend continuing education (CE) so we are always delivering state of the art medicine to our patients Mentorship and real career growth opportunities And the little (big) things, like comfy scrubs and cool EVCC swag If You’re Looking For… A hospital where: Your leadership and training skills are respected Your growth and development are supported Your team has your back Your work truly matters We’d love to meet you. Learn more at www.evcc.com or contact our clinic recruiter, Ashley, at ashley@evcc.com for more information. #IH", "summaryDescription" : "Training Coordinator at Emergency Veterinary Care Center. Skills: Training program development, Employee development, Veterinary medicine. Partner with leadership to identify training needs. Assess assistants and technicians", "postedDate" : "2026-06-15T23:18:56.601", "createdAt" : "2026-06-15T23:18:56.601", "lastUpdated" : "2026-06-16T06:56:37.289", "ingestTimestamp" : "2026-06-15T23:18:56.601", "mongoId" : "6a305144f292fd229cefd392", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Veterinary technician skills", "Leadership", "Mentoring", "Training program development", "Employee development", "Veterinary medicine", "Veterinary workflows", "Clinic operations", "Emergency veterinary medicine", "Veterinary technician protocols", "Veterinary Technician license" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 442.7288, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45c2beec4dd3d9a3f79", "title" : "Pharmacy Technician II-Foundation", "company" : "City of Hope", "salary" : { "min" : 32.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-California-Glendale", "locations" : [ "United States-California-Glendale", "Pharmacy", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T02:35:00.843", "fingerprint" : "e9078ae3c0dcbcb262be1214f5c1453d6094cdfb0ed367342ac8a3191f56f387", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=226826", "externalId" : "226826", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Glendale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1469416,-118.2478471" } ], "locationText" : "Glendale, California, United States", "minimumEducation" : "High School", "remoteFriendly" : false, "rawDescription" : "Pharmacy Technician II-Per Diem Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. We are seeking a Pharmacy Technician II! This position requires a California Registered Technician who will operate under Pharmacist Supervision. The primary responsibilities include packaging, preparation, and compounding of oral medications, intravenous medications, as well as chemotherapy/biohazard medications. Additionally, the role involves implementing and maintaining control procedures, conducting inventory management, and overseeing stock control. As a successful candidate, you will:  Ensure compliance with USP 797 & 800 at all times. Utilize proper aseptic technique for all pharmaceutical mixing. Order, receive, and maintain accurate medication inventory. Coordinate with Specialty Pharmacies or manufactures for timely deliveries of medications for infusion. Performs routine daily, weekly, and monthly cleaning as required. Procure and maintain supplies necessary for daily mixing operation. Prescription order entry and process. Coordination and submission of prior authorizations. Determination of patient’s prescription benefits and seeks appropriate financial assistance when applicable. Order, receive and maintain accurate medication inventory. Assist with routing and release of prescriptions to the appropriate pharmacy Properly label and fills prescription drugs. Your qualifications should include: High School or equivalent or Post High School vocational/specialized training or Graduation from a foreign school of Pharmacy 3 or more years of performing related duties as a pharmacy technician Certified Pharmacist Technician (CPhT) from Pharmacy Technician Certification Board (PTCB), preferred Additional Information: Hourly Per Diem Rate: $32.19 City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Glendale", "summaryDescription" : "Pharmacy Technician II-Foundation at City of Hope", "createdAt" : "2026-06-14T18:52:36.791", "lastUpdated" : "2026-06-16T02:35:00.843", "ingestTimestamp" : "2026-06-14T18:52:36.791", "mongoId" : "69dde45c2beec4dd3d9a3f79", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 66560, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 440.26053, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7b9774d8ee00a094a42c", "title" : "Rwanda Scale Innovations Intern", "company" : "One Acre Fund", "salary" : { "min" : 3600000.0, "max" : 6000000.0, "currency" : "RWF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Kigali, Rwanda, adjusted for the agriculture industry." }, "location" : "Kigali, Rwanda", "locations" : [ "Kigali", "Rwanda" ], "timestamp" : "2026-06-16T05:58:44.760", "fingerprint" : "bfaf5cc7ef4edb20640d840c671042f586d418fc157707c90ff9873f3f1b4d7d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://oneacrefund.org/vacancies/?gh_jid=8000318", "externalId" : "8000318", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kigali", "country" : "Rwanda", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-1.9534357,30.1140089" } ], "locationText" : "Kigali, Rwanda", "employmentType" : "INTERNSHIP", "technicalSkills" : "Excel, Google Sheets", "professionalSkills" : [ "Agricultural research", "Product innovation", "Field operations" ], "hardSkillsList" : [ "Crop production", "Livestock production", "Agricultural extension" ], "hardSkills" : [ { "name" : "Crop production", "level" : "intermediate" }, { "name" : "Livestock production", "level" : "intermediate" }, { "name" : "Agricultural extension", "level" : "intermediate" } ], "majorSkills" : "Scale Innovations, Product trial design, Field operations", "majorSkillsList" : [ "Scale Innovations", "Product trial design", "Field operations" ], "coreResponsibilities" : "Assist in execution of scale innovation trials, Support trial leads in coordinating activities, Help ensure timely delivery of products and services, Assist in tracking trial performance indicators, Monitor product adoption, quality, and participant engagement, Conduct surveys, interviews, and field follow-ups, Support data collection and reporting, Support preparation of training materials, Assist with farmer trainings, Help organize and distribute materials, Update trial tracking systems, Ensure accurate recording of field activities, Compile field observations, lessons learned, and operational updates, Support data quality checks, Document trial outcomes, Work closely with cross-functional teams, Contribute ideas and observations, Build practical experience", "teamCollaboration" : "Cross-functional teams; Field teams; Farmers; Other stakeholders", "projectManagementSkills" : [ "Product trial design", "Product trial evaluation" ], "domainKnowledge" : "Crop production; Livestock production; Agricultural extension practices; Agricultural innovation; Farmer-focused development", "domainList" : [ "crop-production", "livestock-production", "agricultural-extension-practices", "agricultural-innovation", "farmer-focused-development" ], "domainSpecificKnowledge" : [ "Crop production", "Livestock production", "Agricultural extension practices", "Agricultural innovation", "Farmer-focused development" ], "toolProficiency" : [ "Excel", "Google Sheets" ], "documentationSkills" : "Weekly reports", "continuousLearning" : "Onboarding program; Training on design and execution; Learning opportunities; Mentorship; Training; Career reviews; Feedback on performance", "innovationCreativity" : "Driving innovation; Own a product trial; Design innovative products; Evaluate innovative products; Scale new solutions", "specialRequirements" : "Frequent travel, Work in rural field environments, Citizen or permanent resident of Rwanda", "qualificationsBasic" : "Bachelor's degree in Agriculture, Agribusiness, Animal Science, Rural Development, Agricultural Economics, or a related field, Basic understanding of crop production, livestock production, or agricultural extension practices, Interest in agricultural innovation, research, and farmer-focused development programs, Attention to detail when recording data, tracking activities, and preparing reports, Basic proficiency in Excel, Google Sheets, and digital data collection tools, Willingness to travel frequently and work in rural field environments, Proficiency in both Kinyarwanda and English", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About One Acre Fund Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our Why Work Here blog post. About the Young Professionals Program One Acre Fund’s Young Professionals Program offers high-performing African graduates meaningful internships and training opportunities at a high-performing, mission-driven organization. Our internships are paid and all interns can expect to receive substantive work assignments working on high-impact projects that support One Acre Fund's operations. When joining, interns will participate in an onboarding program and receive training on how to design and execute projects. Over the period of your internship, you will get the opportunity to work with like-minded individuals and receive learning opportunities to build strong foundations for your future career. About the Role As a member of the Scale Innovations Team, you will provide vital support by driving innovation. You will get to own a product trial from design to evaluation while supporting Project Specialists across diverse SIN initiatives. This is a high-impact role for leaders ready to execute and scale new solutions. Responsibilities Support Trial Implementation & Field Operations Assist in the execution of scale innovation trials and pilot activities in the field. Support trial leads in coordinating activities with field teams, farmers, and other stakeholders. Help ensure timely delivery of products and services to participating farmers. Support Monitoring, Evaluation & Learning Assist in tracking trial performance indicators and monitoring product adoption, quality, and participant engagement. Conduct surveys, interviews, and field follow-ups to gather feedback from farmers and partners. Support data collection and reporting to inform trial performance and decision-making. Contribute to Training Materials & Research Activities Support the preparation of training materials, farmer lists, surveys, and other trial-related tools. Assist with farmer trainings, focus group discussions, needs assessments, and product testing activities. Help organize and distribute materials required for successful trial implementation. Maintain Trial Data & Reporting Update trial tracking systems and ensure accurate recording of field activities and key performance indicators. Compile field observations, lessons learned, and operational updates into weekly reports. Support data quality checks and documentation of trial outcomes. Learn, Collaborate & Support Innovation Work closely with cross-functional teams to support the design, implementation, and evaluation of innovative products and services. Contribute ideas and observations from field activities to improve future trials and farmer experiences. Build practical experience in agricultural research, product innovation, and field operations. Career Growth and Development We have a strong culture of constant learning and we deeply invest in our people. You’ll have weekly check-ins with your manager, access to mentorship and training, and regular feedback on your performance. We’ll hold career reviews every one-three months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and gain rewarding technical experience. Qualifications Across all roles, these are the general qualifications we look for. For this role specifically, you will have: Bachelor's degree in Agriculture, Agribusiness, Animal Science, Rural Development, Agricultural Economics, or a related field. Basic understanding of crop production, livestock production, or agricultural extension practices. Strong interest in agricultural innovation, research, and farmer-focused development programs. Attention to detail when recording data, tracking activities, and preparing reports. Basic proficiency in Excel, Google Sheets, and digital data collection tools. Willingness to travel frequently and work in rural field environments. Proficiency in both Kinyarwanda and English. Preferred Start Date As soon as possible Job Location Kigali, Rwanda Benefits Interns will be provided with a reasonable stipend for the duration of their contract. Rural area based fellows will be provided assistance in locating suitable housing. Eligibility This role is only open to citizens or permanent residents of Rwanda Application Deadline 11 September 2026. We hire on a rolling basis which means that applications are reviewed and processed on a continuous basis until a hire is made. One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address. Please report any suspicious communication here (globalhotline@oneacrefund.org), but do not send applications or application materials to this email address. Diversity, Equity, Inclusion (DEI), and anti-racism are deeply connected to our organization’s mission and purpose. One Acre Fund aspires to build a culture where all staff feel consistently valued, represented, and connected – so that our team can thrive as professionals, and achieve exceptional impact for the farmers we serve. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression. We are proud to be an equal opportunity workplace.", "summaryDescription" : "Rwanda Scale Innovations Intern at One Acre Fund. Skills: Scale Innovations, Product trial design, Field operations. Assist in execution of scale innovation trials. 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SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Senior Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fundraising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Associate Director for Foundation Relations serves as a grant strategist and primary relationship manager for foundation partners at the University. This role leads the development, coordination, and submission of complex foundation proposals and stewardship reports, working collaboratively with the Senior Director, school/unit fundraisers, faculty, and senior leadership. The Associate Director manages a portfolio of foundation prospects and donors, leads proposals typically up to $125,000, and contributes to strategic planning and pipeline development for institutional funding priorities. Essential Functions: Strategic Proposal Development & Leadership Leads the development and submission of complex foundation proposals, typically $125,000+, including multi-year and cross-unit initiatives. Serves as strategist and project manager, coordinating internal stakeholders and ensuring alignment with institutional priorities. Provides editorial leadership and elevates proposal quality across FR efforts. Foundation Relationship Management Manages a portfolio of foundation prospects and donors, cultivating relationships through direct outreach, meetings, and stewardship engagement. Develops and executes strategies for solicitation, renewal, and long-term partnership growth. Stewardship Strategy & Execution Leads development of high-quality, strategic stewardship reports and communications. Ensures timely reporting and alignment with donor expectations while identifying opportunities for renewal and increased investment. Prospect Research & Pipeline Development Identifies, evaluates, and prioritizes foundation prospects aligned with university priorities. Works with internal partners to build funding strategies and expand the FR pipeline. Cross-Functional Collaboration & Institutional Strategy Partners with senior leadership, faculty, and development staff to shape funding priorities and develop competitive cases for support. Represents FR in high-level internal planning discussions. FR Operations & Process Improvement Helps design and implement workflows, timelines, and proposal tracking systems. Improves efficiency and consistency across FR operations. CRM & Data Management Ensures accurate and strategic use of CRM and archive systems for tracking and preserving proposals and reports, donor engagement, etc. Occasional non-standard hours outside, including morning, evening, and weekend hours, may be required. Minimal travel may be required for this role. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. A minimum of four years of progressive experience focusing on corporate and foundation proposal development and building connections among organizations with a successful track record of generating philanthropic support and partnerships is required. Experience with budget and project management is required. Experience in a non-profit or academic institution is preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Candidate must have experience with Microsoft Office. Experience with BBEC CRM and/or Salesforce is preferred. Experience with prospecting database (Foundation Director, Instrumentl, FoundationSearch or Candid/Guidestar, etc) is preferred. Physical and Environmental Demands: Sit for long periods of time Drives motorized equipment Deadline to Apply: May 28, 2026. EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . 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A clean run — the Zoom configured right, the chat humming, the breakout rooms landing on time, every trainer knowing exactly what they're on the hook for — is invisible when it works and impossible to hide when it doesn't. Right now that orchestration lives in a few people's heads. We need someone to own it. As our Training Producer, you are the person who makes each training experience great. You're the single point of contact for everyone involved: Blank Metal trainers, supporting staff, and the client. For everything that isn't the teaching itself. You run the logistics, you run the communications, and you make sure the dozen small things that have to go right actually go right, every time. This is an early-career role with real ownership from day one. You won't be handed a polished playbook. Instead, you'll help build one. If you like being the calm center of a live event and you take pride in details other people never notice, this is a seat where that instinct matters every single week. WHAT YOU GET TO DO Own the run of every training - Be the point person for each training — the one Blank Metal and the client both come to for anything logistics-related, before, during, and after the session. - Make sure everyone supporting a training knows their role, what's expected of them, and gets their pieces done on time. - Run the live session behind the scenes: configure Zoom correctly, work the chat and surface the right questions to the trainers, prep and launch polls, trigger breakout rooms, and quietly round up anyone who gets lost. - Open each session with a short, scripted overview of Blank Metal so attendees know who they're learning from. Own the communication around it - Handle the full arc of attendee communication — invitations and Eventbrite setup, expectation-setting before the session, and surveys and follow-ups after. - Keep clients clear on what's happening and what we need from them ahead of each training. - Set participants up to show up ready, so the live time is spent learning, not troubleshooting setup. Keep us honest on the details - Fulfill partner requirements — for example, providing participant counts to Anthropic for Claude Code trainings. - Capture the final participant count and keep the records straight for every session. - Be honest-startup scrappy: some of this isn't documented yet, so when you spot a step that lives in someone's head or a process that breaks under pressure, you write it down and fix it instead of working around it. WHAT WILL HELP YOU SUCCEED - Some experience running live or virtual sessions — events, webinars, training, classroom support, AV/production, or anything where the show had to go on while you held it together. - You're organized to the point that other people notice. You track the moving pieces and nothing falls through. - You stay calm when something breaks live, and you fix it without the audience ever knowing. - You write clearly and warmly — the kind of attendee email people actually read and a client note that reassures. - You're comfortable owning a checklist that doesn't fully exist yet, and you'd rather build the missing piece than complain about it. - Bonus: you've used Zoom (breakouts, polls), Eventbrite, or survey tools, and you're genuinely curious about AI — you'll be in the room for every Claude training we run. WHY YOU'LL LOVE IT HERE - Build AI that ships: every project ends in a live deployment, not a slide deck - Craft meets velocity: we obsess over quality while delivering at startup speed - Outcome-driven model: our work aligns with client success, not billable hours - AI-native culture: you'll work with peers who deeply understand modern AI's potential and limits - Real collaboration: open conversations, shared ownership, and space to bring your voice COMPENSATION & BENEFITS Competitive base salary with a revenue-based variable comp structure — when the company wins, you win. We offer comprehensive health coverage, 401(k) with match, flexible time off, flexible work arrangements, and support for professional development. ABOUT BLANK METAL Blank Metal is an AI-native engineering company that partners with enterprises to deliver production AI fast. We blend strategic insight with hands-on execution, shipping high-impact systems that turn AI initiatives into measurable business results. We’re builders, not theorists. Our team of seasoned engineers, designers, and strategists work across industries to create AI applications that actually get used and make a difference. Blank Metal is proud to be an equal opportunity employer. We welcome all backgrounds and perspectives. Diversity makes our work better and our team stronger.", "summaryDescription" : "Training Producer at Blank Metal", "createdAt" : "2026-06-16T00:27:25.212", "lastUpdated" : "2026-06-16T12:03:39.493", "ingestTimestamp" : "2026-06-16T00:27:25.212", "mongoId" : "6a305601f292fd229cf23fd4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 438.64932, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3056cdf292fd229cf2f026", "title" : "Training Lead", "company" : "Tide", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Training position in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad", "locations" : [ "Hyderabad" ], "timestamp" : "2026-06-16T09:12:11.632", "fingerprint" : "ee59255398aa42ad57b6659b1371db56822ef00bfbfc02e7b17024063bc398ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7769445003", "externalId" : "7769445003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE: We are seeking an experienced and driven Training Lead to lead and develop a training team who are responsible for training all 500+ employees across our Member Operations space for our UK and EU markets. This space spans six key functions: Member Support KYX Ongoing Monitoring Collections Complaints Quality Assurance You will be responsible for both onboarding new Tideans and ensuring that existing Tideans have the knowledge, skills, and ongoing development needed to perform at their best. Your work will help build capability across Member Operations, supporting both operational excellence and an outstanding member experience. This is a key leadership role in a fast-evolving environment. As we continue to grow and scale, you’ll play a critical part in shaping how we deliver training, manage quality, and support performance across functions. You’ll need to bring strong training operations experience, a people-first mindset, and the agility to adapt quickly to change. Your success will be measured by the smooth running of our training programmes, the effectiveness of your team, and the impact training has on business outcomes. Key responsibilities: Strategy and Member-Centric Learning Culture - Develop and execute a training strategy that supports Tide's business objectives and future growth. Embed a deeply member-focused mindset across all training programmes. Ensure every learning experience reinforces the importance of doing the right thing for our members and helping small businesses succeed. Drive a clear connection between training excellence, capability, and improved member and business outcomes, ensuring teams consistently deliver exceptional service, support, and experiences. Leadership & Team Development - Build, lead, and inspire a high-performing training team that consistently delivers exceptional results. Create a culture of energy, accountability, innovation, and continuous improvement, while developing future training leaders and ensuring the team exceeds its performance objectives. Oversee the effective management of scheduling, training calendars, and the overall ownership of training materials, ensuring content is consistently updated, relevant, and aligned with organisational priorities and evolving capability needs. Learning Innovation - Champion modern, engaging learning experiences that maximise knowledge retention and learner engagement. Continuously research, test, and implement innovative training methodologies, tools, and technologies, ensuring we move beyond traditional presentation-led learning and create diverse, impactful training experiences. Performance & Operational Excellence - Establish clear performance metrics for the training function, regularly assess effectiveness, and drive continuous improvement. Use data-driven insights to enhance productivity, optimise training outcomes, and ensure learning interventions deliver measurable business impact. Data, Analytics & Insight - Own the evolution of training analytics at Tide. Partner with stakeholders across the business to centralise training data, integrating information from multiple systems and vendors. Develop meaningful dashboards and reporting frameworks that provide visibility into training effectiveness, operational performance, learner engagement, and business impact. Use data to identify trends, address performance gaps, uncover root causes, and continuously improve training outcomes. Cross-Functional Partnership - Build strong relationships across Member Operations and the wider business, collaborating closely with teams including Global Training, Member Support, KYX, Ongoing Monitoring, Collections, Complaints, Account Operations, and Quality Assurance. Align learning priorities with business needs and drive shared success through effective partnership and stakeholder management. WHAT WE ARE LOOKING FOR: You are an exceptional training leader Proven track record of leading and developing high-performing training teams, ideally within customer-facing operations/ regulated industries Deep expertise in training methodologies, adult learning principles, and learning best practices, ideally within fintech, financial services, or an equally regulated sector Passionate about creating engaging learning experiences and experienced in using a wide variety of learning tools, technologies, and delivery methods. Ensuring you are innovating and bringing new tools into the team. Comfortable building business cases and influencing stakeholders to invest in innovative learning solutions. Strong coaching and leadership skills, with a genuine passion for developing people and helping them succeed. You bring exceptional energy and presence An outstanding communicator with the ability to captivate, engage, and inspire audiences of all sizes. You bring infectious energy, enthusiasm, and passion to everything you do, creating excitement around learning and development wherever you go. A natural presenter and storyteller, capable of bringing complex topics to life and turning training sessions into memorable, high-impact experiences. Highly articulate, confident, and credible, with the ability to influence and energise everyone from frontline colleagues to senior leaders. You thrive in front of an audience and have a rare ability to command a room, create momentum, and motivate people to perform at their very best. You are a self-starter and strategist A highly autonomous leader who doesn't wait to be told what to do. You can set a clear vision, build a strategy, and inspire others to execute it. Ability to thrive in a scaling organisation where processes are evolving and change is constant A creative problem solver who identifies opportunities and challenges early and rapidly implements effective solutions. You are operationally minded Strong training operations skills, including the ability to manage scheduling, coordination, documentation, and feedback loops at scale Strong analytical skills with the ability to leverage data to drive performance, influence decision-making, and measure impact. Comfortable working with data and business analytics tools, including Excel and SQL. A strong understanding of KPIs and operational performance within high-growth technology businesses. You excel at stakeholder management Outstanding relationship-building, communication, and influencing skills. Able to build credibility quickly and effectively manage stakeholders across multiple functions and levels of seniority. A strong understanding of the small business market and the challenges faced by entrepreneurs, with a genuine passion for helping SMEs succeed. WHAT YOU’LL GET IN RETURN: 25 days paid annual leave 3 paid days off for volunteering or L&D activities Personal L&D budget Additional health & dental insurance Mental wellbeing platform Fully covered Multisports card Food vouchers Snacks, light food, drinks in the office WFH equipment allowance Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Training Lead at Tide", "postedDate" : "2026-06-15T23:19:05.214", "createdAt" : "2026-06-15T23:19:05.214", "lastUpdated" : "2026-06-16T09:12:11.632", "ingestTimestamp" : "2026-06-15T23:19:05.214", "mongoId" : "6a3056cdf292fd229cf2f026", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 437.12897, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d8c0574d8ee00a0c2c8a1", "title" : "Fine Jewelry Counter Manager", "company" : "Belk", "industry" : "Retail", "salary" : { "min" : 48500.0, "max" : 72500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Fine Jewelry Counter Manager in Martinsville, United States, adjusted for manager seniority and retail industry." }, "location" : "Martinsville, VA - Liberty Fair Mall Belk", "locations" : [ "Martinsville, VA - Liberty Fair Mall Belk", "United States of America" ], "timestamp" : "2026-06-16T02:29:28.957", "fingerprint" : "55db2db58a7aea036c6a625c453ac0f90cdd108c268410b7ffa3354737f216d6", "source" : "workday", "language" : "en", "applyUrl" : "https://belk.wd1.myworkdayjobs.com/Jobs-Stores/job/Martinsville-VA---Liberty-Fair-Mall-Belk/Fine-Jewelry-Counter-Manager---Full-Time_JR-102110", "externalId" : "JR-102110", "industryFunction" : { }, "locationPoint" : "40.60121,-74.55905", "structuredLocations" : [ { "city" : "Martinsville", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.6915262,-79.8725386" } ], "locationText" : "Martinsville, Virginia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "majorSkills" : "Selling behaviors, Customer service, Product knowledge", "majorSkillsList" : [ "Selling behaviors", "Customer service", "Product knowledge" ], "coreResponsibilities" : "Achieve store objectives, Drive personal key metrics, Drive store key metrics, Create memorable store experiences, Build team relationships, Build vendor relationships, Build customer relationships, Build community relationships, Lead team in customer service, Drive sales, Achieve goals, Execute promotions, Execute special events, Execute trunk shows, Execute customer outreach, Advance fine jewelry business, Foster positive store culture, Share team successes, Celebrate associate achievements, Model behaviors, Strengthen performance, Enhance customer service, Build product knowledge, Build suggestive selling behaviors, Build expertise in industry tips, Build expertise in accessory trends, Build expertise in fine jewelry, Create exciting customer engagement, Drive repeat client interactions, Assist with onboarding, Initiate teaching opportunities, Support associate learning, Connect with Fine Jewelry Associates, Connect with Sales Associates, Review goals, Review performance results, Ensure associates are informed, Ensure associates are confident, Leverage clienteling tools, Leverage technology, Provide personalized experience, Provide seamless omnichannel experience, Support store fulfillment, Execute omni processes, Suggest fine jewelry service plans, Provide additional offerings, Oversee repair estimates, Oversee documentation, Oversee shipments, Oversee minor repair assistance, Oversee cleaning services, Support team with merchandising, Support team with signing product, Support team with replenishment, Support team with recovery, Support team with cleanliness, Maintain visual merchandising standards, Maintain fine jewelry caseline standards, Align presentations with directives, Partner with store leaders, Ensure team schedules align, Maximize associate productivity, Maximize department productivity, Respond to changing circumstances, Adjust tactics, Shift focus, Lead shortage control, Lead inventory accuracy, Follow security protocols, Execute price changes, Execute product transfers, Execute damage process, Champion team knowledge of inventory management, Champion team knowledge of asset protection, Champion team knowledge of safety guidelines", "teamCollaboration" : "Team relationships; Vendor relationships; Customer relationships; Community relationships; Cross-functional teams; Store leaders", "domainKnowledge" : "Fine jewelry; Fashion industry", "domainList" : [ "fine-jewelry", "fashion-industry" ], "domainSpecificKnowledge" : [ "Fine jewelry", "Fashion industry" ], "toolProficiency" : [ "Clienteling tools", "Omnichannel experience" ], "communicationSkills" : "Communicate with excellence", "continuousLearning" : "Continuously learn", "problemSolvingSkills" : "Data guidance judgement", "specialRequirements" : "Move around all store areas, Accessible to customers, Bend, reach, stretch, Lift, carry, move 40 lbs", "outcomesObjectives" : "Achieve store objectives; Drive personal key metrics; Drive store key metrics", "qualificationsBasic" : "1+ years of retail experience, Available to work a flexible schedule, Must regularly move around all store areas, Must bend, reach, stretch for product, Must lift, carry, and move at least 40 lbs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Fine Jewelry Counter Manager drives personal and team results by demonstrating a passion for building personalized client relationships and sharing a genuine enthusiasm for the jewelry and fashion industry. This role utilizes engaging selling behaviors and strategies to enhance customer experience, while executing promotions, special events, trunk shows, and customer outreach initiatives. The Fine Jewelry Counter Manager possesses a competitive drive and entrepreneurial confidence to excel in a commission environment. This is an hourly position. **What you will do** * Demonstrate a high level of ownership, accountability, and initiative in achieving store objectives and driving the accomplishment of personal and store key metrics. * Create memorable store experiences through building genuine team, vendor, customer, and community relationships. * Lead team in providing excellent customer service, driving sales, achieving goals, and executing successful promotions, special events, trunk shows, and customer outreach to advance fine jewelry business. Foster a positive store culture by sharing team successes, celebrating associate achievements, and modeling behaviors that strengthen performance and enhance customer service. * Build personal and team product knowledge, suggestive selling behaviors, and expertise in the latest industry tips, accessory trends, and fine jewelry product offerings to create exciting customer engagement. Drive repeat client interactions as a knowledgeable and trusted resource. * Enhance team’s selling skills by assisting with onboarding, initiating teaching opportunities, and supporting associate continued learning. Connect with Fine Jewelry Associates and Sales Associates that support fine jewelry through team meetings and one-on-one touch bases to review goals and performance results. * Ensure associates are well-informed and confident in speaking to available inventory and assortment. Leverage clienteling tools and technology to provide a personalized and seamless omnichannel experience. Support store fulfillment in designated areas by accurately and efficiently executing omni processes. * Elevate customer experience by suggesting fine jewelry service plans and providing additional offerings. Oversee seamless execution of repair estimates, proper documentation, inbound and outbound shipments, minor repair assistance, and cleaning services. * Support team with merchandising and signing product, replenishment, recovery, and cleanliness to maintain visual merchandising and fine jewelry caseline standards daily. Align presentations with vendor and company directives. * Partner with store leaders to ensure team schedules align with business needs, traffic plans, and event strategies to maximize associate and department productivity. Demonstrate adaptability and respond to changing circumstances, adjust tactics, and shift focus based on evolving business needs. * Lead shortage control and inventory accuracy in designated areas by following security protocols and executing price changes, product transfers, and damage process timely. Champion team knowledge of inventory management, asset protection procedures, and safety guidelines. **Skills and Abilities** * Ability to use data, guidance, and judgement to support timely and effective decisions that contribute to team and business success. * Skills and experience to perform in the role and a commitment to continuously learn. * Ability to take ownership of assigned tasks and contribute to store success by teaching, partnering, and encouraging others. * Self-directed and able to work with minimal supervision in a deadline-driven environment. * Communicate with excellence. * Comfortable with technology, including smart phones, tablet computers and Windows-based operating systems. * 1+ years of retail experience and a dedication to customer service excellence. * Available to work a flexible schedule based on business needs, including nights, weekends, and holidays. * Must regularly move around all store areas and be accessible to customers. * Must bend, reach, stretch for product as well as lift, carry, and move at least 40 lbs. The job posting highlights the most relevant / essential responsibilities and requirements of the role. It is not all-inclusive. There may be additional duties, responsibilities, and qualifications for this job.", "summaryDescription" : "Fine Jewelry Counter Manager at Belk. Skills: Selling behaviors, Customer service, Product knowledge. Achieve store objectives. Drive personal key metrics", "postedDate" : "2026-06-12T18:57:36.403", "createdAt" : "2026-06-14T18:57:36.347", "lastUpdated" : "2026-06-16T02:29:28.957", "ingestTimestamp" : "2026-06-14T18:57:36.347", "mongoId" : "6a2d8c0574d8ee00a0c2c8a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://belk.wd1.myworkdayjobs.com/Jobs-Stores/job/Martinsville-VA---Liberty-Fair-Mall-Belk/Fine-Jewelry-Counter-Manager---Full-Time_JR-102110", "salaryAnnualMin" : 48500, "salaryAnnualMax" : 72500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Selling behaviors", "Customer service", "Product knowledge", "Fine jewelry", "Fashion industry", "Clienteling tools", "Omnichannel experience" ], "skillCount" : 7, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "_score" : 436.66513, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176df74d8ee00a0c1b313", "title" : "Startup Scale Program Manager, Startup Scale Programs", "company" : "Amazon Web Services, Inc.", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Cloud Computing", "salary" : { "min" : 82700.0, "max" : 129800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:12:38.103", "fingerprint" : "26d1003ef27742cd0f83fd521c0a2903faf483d33fa96e6c2431e2e9f4a03acc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437684/apply", "externalId" : "c5514326-3f2c-48b3-bad1-8c85a1bfd9e8", "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", "experienceLevel" : "Manager", "professionalSkills" : [ "Program management", "Operations management", "Process improvement", "Resource planning", "Stakeholder management", "Vendor management", "Cross-functional coordination" ], "hardSkillsList" : [ "Operational metrics", "Reporting" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Program management, Operations, Process management", "majorSkillsList" : [ "Program management", "Operations", "Process management" ], "coreResponsibilities" : "Manage and execute programs, Develop and implement operational processes, Track and report on key operational metrics, Coordinate cross-functional teams, Manage vendor relationships, Identify and implement process improvements, Plan and allocate resources, Ensure program alignment with business objectives", "teamCollaboration" : "Cross-functional teams; Stakeholders", "projectManagementSkills" : [ "Program management", "Project management" ], "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5+ years of experience in program management or operations, Experience managing complex projects, Experience with operational metrics and reporting", "qualificationsPreferred" : "Master's degree in a related field, Experience in a fast-paced startup environment, Experience with vendor management, Experience with cross-functional team leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) is seeking a talented, driven, and detail-oriented Program Manager to join the Startup Acquisition & Customer Experience (ACE) team. Our organization is responsible for driving adoption of the AWS platform by startups around the world through scale programs that serve thousands of partners and their portfolio companies. In this role, you will own and operate large-scale startup programs end-to-end — driving process automation using AI tools, executing data-driven engagement strategies, and delivering measurable business impact. You will work at the intersection of program operations, technology, partners, and stakeholder coordination to ensure AWS remains the cloud platform of choice for startups globally. This is a unique opportunity to shape how AWS engages with the startup investor ecosystem (VCs, accelerators, incubators) at scale. You will also play a key role in driving AWS cloud growth opportunities through programmatic engagement, referral motions, and AI-powered enablement workflows. Key job responsibilities • Own end-to-end program operations for scale startup programs, including onboarding workflows, campaign management, performance monitoring, and business reviews. • Design and execute scale engagement motions (webinars, newsletters, office hours, partner communications) using data-driven prioritization and salesforce campaign management. • Scale cloud migration programs by driving referral motions into AI migration experiences, coordinating with Operations on partner tooling, and enabling consulting partners to launch migration opportunities. • Serve as human-in-the-loop for AI-driven partner engagement workflows — monitoring automated outreach, triaging escalations, and ensuring quality across high-volume partner communications. • Design, build, and iterate AI-powered operational workflows to automate application triage, partner communications, data scoring, and reporting — reducing manual execution while insisting on the highest standards. • Drive measurable business impact through credit program management, financial analysis, signup growth, and partner performance metrics. • Collaborate cross-functionally with Sales, Business Development, Product, Marketing, Finance, and Partner teams to align program execution with organizational goals. • Drive process innovation and continuous improvement — identify automation opportunities, build scalable solutions, and document operational playbooks. A day in the life You will start your day reviewing automated application pipelines and partner performance dashboards. You might triage new provider applications using AI-assisted scoring, then shift to preparing a webinar. In the afternoon, you could be analyzing partner performance, drafting partner communications, or collaborating with engineering on a new automation workflow. You are empowered to make decisions that leverage cash and credits offers to maximize global startup customer acquisition, growth, and retention. About the team The Startup Scale Programs team enables adoption of AWS across the world's startups through scale programs. We manage relationships with thousands of investors, accelerators, and B2B partners who bring their startups to AWS and provide these startups with exclusive offers. Our team operates at the forefront of AI-powered program management — using automation to deliver personalized experiences while maintaining the highest quality bar. Basic Qualifications: - 3+ years of program or project management experience - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience using data and metrics to determine and drive improvements - Experience working cross functionally with tech and non-tech teams - Experience managing operational processes or partner programs with defined SLAs including proficiency with CRM systems (e.g., Salesforce) for campaign and pipeline management Preferred Qualifications: - 3+ years of driving end to end delivery, and communicating results to senior leadership experience - Experience building processes, project management, and schedules - Experience in the startup, venture capital, cloud ecosystem; familiarity with accelerators, investor fund mechanics, or startup programs. - Demonstrated ability to leverage AI/automation tools (LLMs, scripting, workflow automation) to scale operational processes and reduce manual execution. - Experience managing partner relationships, including onboarding, performance monitoring, and business impact analysis. - Experience designing and delivering scale engagement programs (webinars, communications, newsletters, office hours, nurture campaigns) with data-driven prioritization. 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 - 82,700.00 - 129,800.00 USD annually", "summaryDescription" : "Startup Scale Program Manager, Startup Scale Programs at Amazon Web Services, Inc.. Skills: Program management, Operations, Process management. Manage and execute programs. Develop and implement operational processes", "postedDate" : "2026-06-13T19:15:05.177", "createdAt" : "2026-06-13T19:15:05.177", "lastUpdated" : "2026-06-15T07:12:38.103", "ingestTimestamp" : "2026-06-13T19:15:05.177", "mongoId" : "6a2176df74d8ee00a0c1b313", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437684/apply", "salaryAnnualMin" : 82700, "salaryAnnualMax" : 129800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Reporting", "Program management", "Operations", "Process management", "Operations management", "Process improvement", "Resource planning", "Stakeholder management", "Vendor management", "Cross-functional coordination", "Project management" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 436.1633, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e413f8b1b0376634c289", "title" : "Principal PMT, Store Presentation Foundation", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, ecp", "salary" : { "min" : 161900.0, "max" : 279900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T02:03:41.658", "fingerprint" : "a709d5ec5c1c3cffdb835efa3cf5ac2e620d4a034de910e7e62c81531aa40388", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077354/apply", "externalId" : "a1dab300-4cbd-43de-88a8-d08cbdf49d88", "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", "majorSkills" : "Product strategy, Roadmap, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories" ], "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "How would you like to impact hundreds of millions of customers around the world and own the vision for empowering hundreds of engineers build and ship new features each and every day? Mobile Shopping is one of the fastest growing strategic businesses within Amazon. Our team is responsible for creating the best shopping experience for customers wherever they go on their favorite Android and iOS devices. As a Principal Product Manager - Tech within the Store Presentation Foundations organization you will contribute to the next generation mobile foundation to power fast, fluid, and interactive experiences on mobile devices worldwide. Amazon Shopping mobile engineers have a diverse range of skills and talents and we can’t wait to harness your passion to make us an even stronger team. We set and raise the bar on the mobile app shopping experience by engineering frameworks, technology, and code that is used by thousands of developers across Amazon. We help Amazon teams discover and explore new ways for customers to complete common shopping tasks quicker, browse more efficiently, and discover new features. We think in terms of frameworks not features; stability, scaling, and performance over using technology to solve discrete problems. About you: You are a technical product manager looking to build and expand on your passion for mobile devices. You want to challenge yourself to solve complex problems at scale that have never been encountered anywhere else. You want to exercise and expand your creative thinking skills and technical chops to become an even deeper expert in the mobile space. You are passionate about mobile and want to work with an equally passionate and driven team to invent new technologies to disrupt the world of application development on mobile devices. You want to learn from others and help challenge yourself and others to grow. You want to talk directly to your customers and partners to shape the vision for code quality, design and architecture for the mobile app development stack. About us: We're going to change the way customers shop on mobile applications. Along the way, we're going to face challenging and interesting problems that no one else has seen. We’ll leverage our camaraderie, diversity, and strong culture to break down walls to find solutions that challenge our original assumptions, make the hard decisions, and deliver a final product that’s superior to the proposals we started with. Interested? Have the passion to build – and drive to ship – all of this with us? We’re waiting to talk with you. Let’s do this! Key job responsibilities - Lead a team to accelerate mobile development - Own the strategy and stakeholder partnership to drive adoption of our products. - Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals. - Own the communication with leadership and WW partner teams. - Create buy-in for the product vision, both internally and with key external partners. - Create and execute the near and long term roadmap for the team. Basic Qualifications: - Bachelor's degree Preferred Qualifications: - Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams 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 $161,900/year in our lowest geographic market up to $279,900/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" : "Principal PMT, Store Presentation Foundation at Amazon.com Services LLC. Skills: Product strategy, Roadmap, User stories. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-14T19:43:56.517", "createdAt" : "2026-06-14T19:43:56.517", "lastUpdated" : "2026-06-16T02:03:41.658", "ingestTimestamp" : "2026-06-14T19:43:56.517", "mongoId" : "68c2e413f8b1b0376634c289", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077354/apply", "salaryAnnualMin" : 161900, "salaryAnnualMax" : 279900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Roadmap planning" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 433.93295, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306afff292fd229cfceb5f", "title" : "Training Intern", "company" : "DreamWorks Animation", "industry" : "Entertainment", "salary" : { "min" : 41600.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level Training Intern position in Glendale, United States, with adjustments for the media industry and company size." }, "location" : "Glendale, CALIFORNIA, United States", "locations" : [ "Glendale", "CALIFORNIA", "United States" ], "timestamp" : "2026-06-16T10:36:53.494", "fingerprint" : "8d891890a86681bf9635651894f8de3a97d2967ac3e1e8156e2beec17348de7d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132232079-training-intern-dreamworks-animation-fall-2026", "externalId" : "744000132232079", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Glendale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.1469416,-118.2478471" } ], "locationText" : "Glendale, California, United States", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "coreResponsibilities" : "Assist with training delivery, Support training content development, Help coordinate training logistics, Provide administrative support for training programs, Assist with tracking training attendance and completion, Gather feedback on training sessions, Help prepare training materials, Support the training team with various tasks", "teamCollaboration" : "Training team", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "DreamWorks Animation is looking for more adventurous dreamers who shoot for the moon. We tell stories about the journeys our unconventional heroes take to make dreams come true. As a growth-minded studio, we pride ourselves on being one of the world’s leading producers of high-quality, award-winning, animated films and series, reaching consumers around the globe. We push to feel more, laugh more, and build immersive new worlds. DreamWorks creates a diverse array of original content in a variety of formats, delivering compelling stories with unique characters. We place tremendous value on the experiences our talent brings to the table from their own non-traditional paths to success. We believe in frequent communication and that transparency and trust yield the best work. We are a community of artists, technologists, innovators, and creators, who are passionate about animation and also happen to love eating lunch together. In the DreamWorks Internship Program, interns work in an engaging and exciting environment alongside creative leaders and artists who are committed to building an inclusive and collaborative culture. Interns are immersed into TV and Feature animated productions while gaining hands-on experience at our studio. Open to students and recent grads, we love those who are driven and hungry to learn, are curious and resourceful, and most importantly, are passionate about animation. The Internship Program also showcases best-in-class opportunities by offering executive speaker series, professional/career development workshops, artistic classes, community outreach opportunities, movie screenings, and much more! If you are part of the fandom and believe teamwork makes the dream work, join us in #livingthedream and #doingyourdreamwork! Fall 2026 Training Internship: * Applications close: June 29, 2026 at 11:59pm PT * Program Dates: September 28 - December 3, 2026 * Time Commitment: Part-Time (24 hours per week required) * Format: In Person (Tuesday - Thursday) Responsibilities: \"What would you say you do here?” * Gain knowledge on the role of the Training Department in the studio and an understanding of the training workflow for TV, Overhead, and Feature Departments (Animation, Effects, Surfacing, Matte Painting, etc). * Supervise virtual, hybrid, and onsite classes, track attendance, including data entry and Excel database maintenance, and record various classes with screen capture software. * Edit recorded classes in Adobe Premiere. * Tackle administrative tasks and design posters to promote training classes as needed. * Encouraged to attend virtual training classes to learn about the animation pipeline as well as the software used to create our movies. * Can also have the opportunity to meet with artists from different departments and to further develop skills in areas of interest. ## Qualifications Qualifications: What do I need to have in order to do this job?” * Experience with collecting/prioritizing data in Excel * Experience with video editing skills using software like Adobe Premiere * Basic design skills using software like Photoshop * Confidently looks to solve problems, handles time efficiently, and pays close attention to details * A great teammate with a can-do demeanor and strong communication skills * Proactive and has strong multi-tasking skills with efficient task prioritization * Pursuing an Associate, Bachelor or Graduate degree at a College/University (or equivalent), or be a recent graduate (within six months of graduation date) * Must be 18 years of age or older * Must be willing to work in Glendale, California * Ability to provide own relocation, housing and transportation * Must be authorized to work in the United States without visa sponsorship Desired Characteristics: “What can I offer?” * Curiosity about animation or feature film production * Customer service skills preferred Hourly Rate: $17.87 Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of three days per week. Beginning January 5, 2026, hybrid employees will be required to work from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Training Intern at DreamWorks Animation. Assist with training delivery. Support training content development", "postedDate" : "2026-06-15T15:18:44.000", "createdAt" : "2026-06-16T00:22:33.956", "lastUpdated" : "2026-06-16T10:36:53.494", "ingestTimestamp" : "2026-06-16T00:22:33.956", "mongoId" : "6a306afff292fd229cfceb5f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 433.8261, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304ff3f292fd229ceeb330", "title" : "Training Intern", "company" : "DreamWorks Animation", "industry" : "Entertainment", "salary" : { "min" : 41600.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level Training Intern position in Glendale, United States, with adjustments for industry and company size." }, "location" : "Glendale, CALIFORNIA, United States", "locations" : [ "Glendale", "CALIFORNIA", "United States" ], "timestamp" : "2026-06-16T06:58:25.839", "fingerprint" : "83668638697232fe9c726855df0c3908ebdb8665a0e5fb1d4dcf33fc047a9d28", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132232079-training-intern-dreamworks-animation-fall-2026", "externalId" : "744000132232079", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Glendale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.1469416,-118.2478471" } ], "locationText" : "Glendale, California, United States", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "coreResponsibilities" : "Assist with training delivery, Support training content development, Help coordinate training logistics, Provide administrative support for training programs, Assist with tracking training attendance and completion, Help prepare training materials, Support the training team with various tasks, Participate in training evaluation", "teamCollaboration" : "Training team; Cross-functional teams", "continuousLearning" : "Professional development opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "DreamWorks Animation is looking for more adventurous dreamers who shoot for the moon. We tell stories about the journeys our unconventional heroes take to make dreams come true. As a growth-minded studio, we pride ourselves on being one of the world’s leading producers of high-quality, award-winning, animated films and series, reaching consumers around the globe. We push to feel more, laugh more, and build immersive new worlds. DreamWorks creates a diverse array of original content in a variety of formats, delivering compelling stories with unique characters. We place tremendous value on the experiences our talent brings to the table from their own non-traditional paths to success. We believe in frequent communication and that transparency and trust yield the best work. We are a community of artists, technologists, innovators, and creators, who are passionate about animation and also happen to love eating lunch together. In the DreamWorks Internship Program, interns work in an engaging and exciting environment alongside creative leaders and artists who are committed to building an inclusive and collaborative culture. Interns are immersed into TV and Feature animated productions while gaining hands-on experience at our studio. Open to students and recent grads, we love those who are driven and hungry to learn, are curious and resourceful, and most importantly, are passionate about animation. The Internship Program also showcases best-in-class opportunities by offering executive speaker series, professional/career development workshops, artistic classes, community outreach opportunities, movie screenings, and much more! If you are part of the fandom and believe teamwork makes the dream work, join us in #livingthedream and #doingyourdreamwork! Fall 2026 Training Internship: * Applications close: June 29, 2026 at 11:59pm PT * Program Dates: September 28 - December 3, 2026 * Time Commitment: Part-Time (24 hours per week required) * Format: In Person (Tuesday - Thursday) Responsibilities: \"What would you say you do here?” * Gain knowledge on the role of the Training Department in the studio and an understanding of the training workflow for TV, Overhead, and Feature Departments (Animation, Effects, Surfacing, Matte Painting, etc). * Supervise virtual, hybrid, and onsite classes, track attendance, including data entry and Excel database maintenance, and record various classes with screen capture software. * Edit recorded classes in Adobe Premiere. * Tackle administrative tasks and design posters to promote training classes as needed. * Encouraged to attend virtual training classes to learn about the animation pipeline as well as the software used to create our movies. * Can also have the opportunity to meet with artists from different departments and to further develop skills in areas of interest. ## Qualifications Qualifications: What do I need to have in order to do this job?” * Experience with collecting/prioritizing data in Excel * Experience with video editing skills using software like Adobe Premiere * Basic design skills using software like Photoshop * Confidently looks to solve problems, handles time efficiently, and pays close attention to details * A great teammate with a can-do demeanor and strong communication skills * Proactive and has strong multi-tasking skills with efficient task prioritization * Pursuing an Associate, Bachelor or Graduate degree at a College/University (or equivalent), or be a recent graduate (within six months of graduation date) * Must be 18 years of age or older * Must be willing to work in Glendale, California * Ability to provide own relocation, housing and transportation * Must be authorized to work in the United States without visa sponsorship Desired Characteristics: “What can I offer?” * Curiosity about animation or feature film production * Customer service skills preferred Hourly Rate: $17.87 Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of three days per week. Beginning January 5, 2026, hybrid employees will be required to work from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Training Intern at DreamWorks Animation. Assist with training delivery. Support training content development", "postedDate" : "2026-06-15T15:18:44.000", "createdAt" : "2026-06-15T21:41:07.298", "lastUpdated" : "2026-06-16T06:58:25.839", "ingestTimestamp" : "2026-06-15T21:41:07.298", "mongoId" : "6a304ff3f292fd229ceeb330", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 433.8261, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307061f292fd229cff4075", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 26.0, "max" : 31.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sacramento, California, United States", "locations" : [ "Sacramento", "California", "United States" ], "timestamp" : "2026-06-16T15:13:20.466", "fingerprint" : "7270cd8ba4407191bef7a74f2f3021b2a7d2dd7d9e64032e939671f28ec881f4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286034009", "externalId" : "4286034009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sacramento", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.5810606,-121.4938950" } ], "locationText" : "Sacramento, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Closing sales", "On-site estimates" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Closing sales", "level" : "intermediate" }, { "name" : "On-site estimates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, organized, and professional, Represent the brand with energy, integrity, and professionalism", "teamCollaboration" : "Work with a high-energy team; Team-oriented attitude", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training; Advancement opportunities", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Weekend availability required, Ability to lift 70–85+ lbs repeatedly", "qualificationsBasic" : "Must be 21+ years old, Valid driver's license required, Ability to lift 70–85+ lbs repeatedly, Weekend availability required, Reliable transportation, Team-oriented attitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Sacramento, CA Pay: $26–$31+/hour (Profit Share + Tips + $17/hr base) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:20:08.036", "createdAt" : "2026-06-16T01:20:08.036", "lastUpdated" : "2026-06-16T15:13:20.466", "ingestTimestamp" : "2026-06-16T01:20:08.036", "mongoId" : "6a307061f292fd229cff4075", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54080, "salaryAnnualMax" : 64480, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Closing sales", "On-site estimates", "Confidence", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship building", "Junk removal" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 433.27408, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307061f292fd229cff4079", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Longmont, Colorado, United States", "locations" : [ "Longmont", "Colorado", "United States" ], "timestamp" : "2026-06-16T12:06:57.705", "fingerprint" : "e95564c4067e1f7ee244f8b3fc41f3a5b88bd7e537b4ad38d819d4e8c4a40760", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286020009", "externalId" : "4286020009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Longmont", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.1672117,-105.1019280" } ], "locationText" : "Longmont, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Closing sales", "Overcome objections" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Closing sales", "level" : "intermediate" }, { "name" : "Overcome objections", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand with energy, Represent the brand with integrity, Represent the brand with professionalism", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Ability to lift 70–85+ lbs repeatedly", "qualificationsBasic" : "21+ years old, Valid driver's license, Reliable transportation, Weekend availability", "qualificationsPreferred" : "No junk removal experience needed", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Longmont, CO Pay: $25–$30+/hour (Profit Share + Tips + $15.50/hr) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:20:02.857", "createdAt" : "2026-06-16T01:20:02.857", "lastUpdated" : "2026-06-16T12:06:57.705", "ingestTimestamp" : "2026-06-16T01:20:02.857", "mongoId" : "6a307061f292fd229cff4079", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Closing sales", "Overcome objections", "Confidence", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship building", "Junk removal" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 433.27142, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307061f292fd229cff4078", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Centennial, Colorado, United States", "locations" : [ "Centennial", "Colorado", "United States" ], "timestamp" : "2026-06-16T12:16:26.666", "fingerprint" : "bf1b2aba2e3753d8fa789447aa191ade35e0b205012c71e657c023e5cf3e4cb5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286009009", "externalId" : "4286009009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Centennial", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.5791550,-104.8769227" } ], "locationText" : "Centennial, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship-building", "Customer psychology" ], "hardSkillsList" : [ "Pricing jobs", "Closing sales" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Pricing jobs", "level" : "intermediate" }, { "name" : "Closing sales", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand with energy, Represent the brand with integrity, Represent the brand with professionalism", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Ability to lift 70–85+ lbs repeatedly", "qualificationsBasic" : "Valid driver’s license, Must be 21+ years old, Weekend availability required, Reliable transportation, Team-oriented attitude", "qualificationsPreferred" : "No junk removal experience needed", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Centennial, CO Pay: $25–$30+/hour (Profit Share + Tips + $15.50/hr base) Job Type: Full-Time Are you interested in getting into sales, but do not know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:18:51.725", "createdAt" : "2026-06-16T01:18:51.725", "lastUpdated" : "2026-06-16T12:16:26.666", "ingestTimestamp" : "2026-06-16T01:18:51.725", "mongoId" : "6a307061f292fd229cff4078", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Pricing jobs", "Closing sales", "Confidence", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship-building", "Customer psychology", "Junk removal" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 433.23483, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307061f292fd229cff407a", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 16.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Minneapolis, Minnesota, United States", "locations" : [ "Minneapolis", "Minnesota", "United States" ], "timestamp" : "2026-06-16T10:24:31.188", "fingerprint" : "d7d0eb113e793a462b6938f6404aa3585c3b3633cb23733897d2770d09f62408", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286025009", "externalId" : "4286025009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Minneapolis", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9772995,-93.2654692" } ], "locationText" : "Minneapolis, Minnesota, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building", "Closing sales" ], "hardSkillsList" : [ "Junk removal" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Junk removal", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing", "majorSkillsList" : [ "Sales", "Customer service", "Closing" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand with energy, Represent the brand with integrity, Represent the brand with professionalism", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Lift 70–85+ lbs repeatedly, Weekend availability required", "qualificationsBasic" : "21+ years old, Valid driver’s license, Ability to lift 70–85+ lbs repeatedly, Weekend availability, Reliable transportation, Team-oriented attitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Minneapolis, MN Pay: $26–$31+/hour (Profit Share + Tips + $16.50/hr base) Job Type: Full-Time Are you interested in getting into sales, but do not know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:18:03.692", "createdAt" : "2026-06-16T01:18:03.692", "lastUpdated" : "2026-06-16T10:24:31.188", "ingestTimestamp" : "2026-06-16T01:18:03.692", "mongoId" : "6a307061f292fd229cff407a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 33280, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Junk removal", "Confidence", "Sales", "Customer service", "Closing", "Sales skills", "Negotiation pricing", "Relationship building", "Closing sales" ], "skillCount" : 9, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 433.21014, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307061f292fd229cff4077", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 11.0, "max" : 25.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Baton Rouge, Louisiana, United States", "locations" : [ "Baton Rouge", "Louisiana", "United States" ], "timestamp" : "2026-06-16T12:05:36.901", "fingerprint" : "39ea6f6b237206421d3f9c956972481c994ef95828669e9bff86632d78f952f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286028009", "externalId" : "4286028009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Baton Rouge", "state" : "Louisiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.4494155,-91.1869659" }, { "city" : "Prairieville", "state" : "Louisiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.3122527,-90.9497329" } ], "locationText" : "Baton Rouge, Louisiana, United States; Prairieville, Louisiana, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation", "Pricing", "Relationship building" ], "hardSkillsList" : [ "Lifting 70–85+ lbs" ], "softSkillsList" : [ "Confidence", "Energy" ], "hardSkills" : [ { "name" : "Lifting 70–85+ lbs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" }, { "name" : "Energy" } ], "majorSkills" : "Sales, Customer service, Closing sales", "majorSkillsList" : [ "Sales", "Customer service", "Closing sales" ], "coreResponsibilities" : "Provide on-site estimates, Close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, Keep trucks organized, Keep trucks professional, Represent the brand", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training", "problemSolvingSkills" : "Overcome objections", "specialRequirements" : "Lift 70–85+ lbs repeatedly", "qualificationsBasic" : "21+ years old, Valid driver’s license, Weekend availability, Reliable transportation, Team-oriented attitude", "qualificationsPreferred" : "Junk removal experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Prairieville, LA Pay: $20–$25+/hour (Profit Share + Tips + $11/hr base) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing sales. Provide on-site estimates. Close sales", "postedDate" : "2026-06-16T01:17:20.940", "createdAt" : "2026-06-16T01:17:20.940", "lastUpdated" : "2026-06-16T12:05:36.901", "ingestTimestamp" : "2026-06-16T01:17:20.940", "mongoId" : "6a307061f292fd229cff4077", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 22880, "salaryAnnualMax" : 52000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Lifting 70–85+ lbs", "Confidence", "Energy", "Sales", "Customer service", "Closing sales", "Sales skills", "Negotiation", "Pricing", "Relationship building", "Junk removal" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 433.18817, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307061f292fd229cff4076", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 21.0, "max" : 26.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boise, Idaho, United States", "locations" : [ "Boise", "Idaho", "United States" ], "timestamp" : "2026-06-16T11:42:15.091", "fingerprint" : "f9ca604e64682b0153ec906588cac08ee438003fa00f5375df506c227286c99a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286031009", "externalId" : "4286031009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boise", "state" : "Idaho", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6166163,-116.2008860" } ], "locationText" : "Boise, Idaho, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Junk removal", "On-site estimates" ], "softSkillsList" : [ "Confidence" ], "hardSkills" : [ { "name" : "Junk removal", "level" : "intermediate" }, { "name" : "On-site estimates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" } ], "majorSkills" : "Sales, Customer service, Closing sales", "majorSkillsList" : [ "Sales", "Customer service", "Closing sales" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, organized, and professional, Represent the brand with energy", "teamCollaboration" : "Work efficiently with a team", "domainKnowledge" : "Home services", "domainList" : [ "home-services" ], "domainSpecificKnowledge" : [ "Home services" ], "communicationSkills" : "Communication", "continuousLearning" : "Paid training; Growth Opportunities", "specialRequirements" : "Weekend availability required", "qualificationsBasic" : "Must be 21+ years old, Valid driver’s license required, Ability to lift 70–85+ lbs repeatedly, Weekend availability required, Reliable transportation, Team-oriented attitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: Boise, ID Pay: $21–$26+/hour (Profit Share + Tips + $11/hr) Job Type: Full-Time Are you interested in getting into sales, but don’t know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers called us because they need help solving a problem, and they have already decided to spend money to fix that problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing sales. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:17:13.749", "createdAt" : "2026-06-16T01:17:13.749", "lastUpdated" : "2026-06-16T11:42:15.091", "ingestTimestamp" : "2026-06-16T01:17:13.749", "mongoId" : "6a307061f292fd229cff4076", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 43680, "salaryAnnualMax" : 54080, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Junk removal", "On-site estimates", "Confidence", "Sales", "Customer service", "Closing sales", "Sales skills", "Negotiation pricing", "Relationship building", "Home services" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 432.74524, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307061f292fd229cff4074", "title" : "Sales In-Training and Truck Team", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 22.0, "max" : 26.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Salt Lake City, Utah, United States", "locations" : [ "Salt Lake City", "Utah", "United States" ], "timestamp" : "2026-06-16T14:50:12.738", "fingerprint" : "667688917eb764b78e5ecadb682218a66777c5e297c034f8ed0806af9417ed19", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286023009", "externalId" : "4286023009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "West Valley City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.6967891,-111.9866954" } ], "locationText" : "West Valley City, Utah, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales skills", "Customer service", "Negotiation pricing", "Relationship building" ], "hardSkillsList" : [ "Junk removal" ], "softSkillsList" : [ "Outgoing" ], "hardSkills" : [ { "name" : "Junk removal", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Outgoing" } ], "majorSkills" : "Sales, Customer service, Closing sales", "majorSkillsList" : [ "Sales", "Customer service", "Closing sales" ], "coreResponsibilities" : "Provide on-site estimates, Confidently close sales, Build trust with customers, Remove unwanted items, Work efficiently with a team, Complete daily routes, Deliver WOW-level customer service, Lift, carry, load, and maneuver items, Keep trucks clean, organized, and professional, Represent the brand with energy", "teamCollaboration" : "Work with a high-energy team; Team-oriented attitude", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "communicationSkills" : "Communicate with customers", "continuousLearning" : "Paid training; Advancement opportunities", "problemSolvingSkills" : "Solve problems", "specialRequirements" : "Lift 70–85+ lbs repeatedly, Weekend availability required", "qualificationsBasic" : "Must be 21+ years old, Valid driver’s license required, Ability to lift 70–85+ lbs repeatedly, Weekend availability required, Reliable transportation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. Sales In-Training/ Truck Team 1-800-GOT-JUNK? Location: West Valley CIty, UT Pay: $22–$26+/hour (Profit Share + Tips + $12/hr) Job Type: Full-Time Are you interested in getting into sales, but do not know where to start? At 1-800-GOT-JUNK?, we train people from the ground up. This is a unique opportunity to develop real-world sales skills in a fast-paced, active environment. Our customers already called us because they need help solving a problem. Your job is to build trust, create a great experience, confidently price the job, and close the sale on-site. You will learn how to communicate with customers, overcome objections, negotiate pricing, and deliver excellent service, all while staying active and working with a high-energy team. No cold calling. No sitting behind a desk all day. No chasing leads. Just real conversations with real customers who already need what we offer. We are the world's largest junk removal company, and Southwind, the owner of 1-800-GOT-JUNK? locations across the U.S., is growing rapidly. We are looking for motivated, outgoing people who want to grow their confidence, communication skills, and earning potential. What You’ll Do: Provide on-site estimates and confidently close sales Build trust with customers through strong communication and professionalism Remove unwanted items from homes and businesses Work efficiently with a team to complete daily routes Deliver WOW-level customer service on every job Lift, carry, load, and maneuver items throughout the day Keep trucks clean, organized, and professional Represent the brand with energy, integrity, and professionalism This is a great introduction to sales because our sales process is different: Our customers already reached out to us because they have a problem they want solved. They know they are spending money. Your job is to guide the conversation, create value, and help them feel confident choosing us. It is one of the best ways to build foundational sales skills: Communication Negotiation Confidence Customer psychology Relationship-building Closing Many of our top performers go on to leadership, operations, recruiting, or higher-level sales roles. What We’re Looking For: Sales-Minded: You enjoy talking to people, building relationships, and persuading confidently. Energetic: You like staying active and working hands-on instead of sitting behind a desk all day. Customer-Focused: You care about delivering a great experience and helping people. Dependable: You show up on time, work hard, and contribute positively to the team. Strong Communicator: You can think on your feet, solve problems, and communicate clearly. Requirements: Must be 21+ years old Valid driver’s license required Ability to lift 70–85+ lbs repeatedly Weekend availability required Reliable transportation Team-oriented attitude No junk removal experience needed. We train you. Schedule: 4–5 shifts per week 8–10 hour shifts Weekend availability required Typical start times are 7am or 12pm depending on business needs Pay & Benefits: Hourly base pay Tips Uncapped profit share & performance incentives Overtime opportunities Paid training Flexible scheduling options Advancement opportunities Full benefits package including Medical, Dental, and Vision Retirement options Fun, energetic team environment Growth Opportunities: We promote from within whenever possible. Advancement pathways may include: Certified Sales Lead Operations Lead People Development Lead Senior Sales Director of Operations Director of People Development General Manager Why Join Us? At Southwind and 1-800-GOT-JUNK?, we believe: “Anything is possible. Invest in people. Change the world.” This is more than a labor job. It is an opportunity to build confidence, communication skills, sales experience, and leadership abilities while earning strong money in a fast-paced environment where no two days are the same. If you are competitive, outgoing, hardworking, and ready to grow, we want to meet you. Apply Today! Start your career with 1-800-GOT-JUNK? and join a team that helps people every single day. Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Sales In-Training and Truck Team at 1-800-GOT-JUNK?. Skills: Sales, Customer service, Closing sales. Provide on-site estimates. Confidently close sales", "postedDate" : "2026-06-16T01:16:44.093", "createdAt" : "2026-06-16T01:16:44.093", "lastUpdated" : "2026-06-16T14:50:12.738", "ingestTimestamp" : "2026-06-16T01:16:44.093", "mongoId" : "6a307061f292fd229cff4074", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45760, "salaryAnnualMax" : 54080, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Junk removal", "Outgoing", "Sales", "Customer service", "Closing sales", "Sales skills", "Negotiation pricing", "Relationship building" ], "skillCount" : 8, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 432.73, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Services", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e436f8b1b0376634c801", "title" : "Software Dev Manager, HST Health Foundation", "company" : "ADCI", "industry" : "Software Development, healthcare", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Manager-level Software Development role in the Healthcare industry in Bengaluru, India, with adjustments for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:12:00.739", "fingerprint" : "39f923cac9ae5151a971de869d03e7f418dece19348fceaa14001b3081ec7d74", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073152/apply", "externalId" : "0a11cfc2-4cca-4d53-80ed-21e0318ec606", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Web services", "professionalSkills" : [ "Business acumen", "Technical expertise", "Leadership skills", "Business judgment", "Thought leadership" ], "hardSkillsList" : [ "Software development", "System design", "System architecture", "Reliability", "Scaling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Scaling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Software development, Team management", "majorSkillsList" : [ "Software development", "Team management" ], "coreResponsibilities" : "Build services, Scale services, Shape direction of business, Deliver exceptional customer experience, Provide thought leadership, Partner with product management, Partner with senior leaders", "teamCollaboration" : "Partnering with product management; Partnering with senior leaders", "domainKnowledge" : "Health Store and Tech; Healthcare products; Healthcare services", "domainList" : [ "health-store-and-tech", "healthcare-products", "healthcare-services" ], "domainSpecificKnowledge" : [ "Health Store and Tech", "Healthcare products", "Healthcare services" ], "communicationSkills" : "Collecting requirements; Describing software product features; Describing technical designs; Describing product strategy", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 8+ years leading definition and development of multi tier web services, Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, Experience partnering with product or program management teams, Experience designing or architecting of new and existing systems", "qualificationsPreferred" : "Experience communicating with users, other technical teams, and senior leadership, Experience recruiting, hiring, mentoring/coaching and managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a highly motivated, software development leader with both business and technical acumen to work on Amazon Health. You will have the opportunity to build, scale and shape the direction of this business. This role requires deep technical expertise, excellent leadership skills, and strong business judgment. You will be responsible for services that can be deployed globally, delivering an exceptional customer experience, provide thought leadership in a fast-paced development environment, and partner with product management and senior leaders to ensure the success of this program. If you enjoy dealing with high ambiguity, complexity and broad scope that will be at the epicenter of our initiative, come join us! About the team Amazon’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Store and Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers 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.", "summaryDescription" : "Software Dev Manager, HST Health Foundation at ADCI. Skills: Software development, Team management. Build services. Scale services", "postedDate" : "2026-06-13T16:05:19.574", "createdAt" : "2026-06-13T16:05:19.574", "lastUpdated" : "2026-06-15T02:12:00.739", "ingestTimestamp" : "2026-06-13T16:05:19.574", "mongoId" : "68c2e436f8b1b0376634c801", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073152/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "System design", "System architecture", "Reliability", "Scaling", "Leadership", "Team management", "Business acumen", "Technical expertise", "Leadership skills", "Business judgment", "Thought leadership", "Health Store and Tech", "Healthcare products", "Healthcare services" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 431.41537, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a305971f292fd229cf47aaf", "title" : "Waste Management (Scale House Attendant)", "industry" : "Logistics", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Waste Management Scale House Attendant in Fort McMurray, Canada, adjusted for industry and location." }, "location" : "Fort McMurray, AB", "locations" : [ "Fort McMurray, AB" ], "timestamp" : "2026-06-16T07:59:59.032", "fingerprint" : "77bc9450851899342918ab71f88083a13928c0285475988b6d1eaac29a1c658a", "source" : "jazzhr", "language" : "en", "externalId" : "DEqItmOlpt", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort McMurray", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "56.7291997,-111.3885221" } ], "locationText" : "Fort McMurray, Alberta, Canada", "coreResponsibilities" : "Operate scale house equipment, Record weights of incoming and outgoing loads, Generate weigh tickets, Communicate with drivers, Maintain accurate records, Perform basic data entry", "domainKnowledge" : "Waste management operations", "domainList" : [ "waste-management-operations" ], "domainSpecificKnowledge" : [ "Waste management operations" ], "qualificationsBasic" : "Scale house attendant experience", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Waste Management (Scale House Attendant). Operate scale house equipment. Record weights of incoming and outgoing loads", "createdAt" : "2026-06-15T22:17:26.151", "lastUpdated" : "2026-06-16T07:59:59.032", "ingestTimestamp" : "2026-06-15T22:17:26.151", "mongoId" : "6a305971f292fd229cf47aaf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Waste management operations" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "_score" : 423.54346, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2c6b6874d8ee00a0912247", "title" : "Sr. Staff Machine Learning Researcher - Model Training & Optimization", "company" : "Tenstorrent", "industry" : "Technology", "salary" : { "min" : 100000.0, "max" : 500000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:13:34.501", "fingerprint" : "e487a48775ae68f8fb1aec0f3551c71ed617b062826808a3b61d14d80fd5883a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tenstorrent/jobs/5163484007", "externalId" : "5163484007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Model training", "Model optimization", "Research", "Development" ], "hardSkillsList" : [ "Machine learning", "Deep learning", "Statistical modeling", "Data engineering", "Algorithm development" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Model Training, Model Optimization, Research", "majorSkillsList" : [ "Machine Learning", "Model Training", "Model Optimization", "Research" ], "coreResponsibilities" : "Conduct research on model training and optimization, Develop and implement novel algorithms, Optimize existing machine learning models, Collaborate with engineering teams, Stay current with ML research", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Machine learning; Deep learning; Model training; Model optimization; Large language models", "domainList" : [ "machine-learning", "deep-learning", "model-training", "model-optimization", "large-language-models" ], "domainSpecificKnowledge" : [ "Machine learning", "Deep learning", "Model training", "Model optimization", "Large language models" ], "toolProficiency" : [ "MLflow", "Dbt Cloud", "Databricks", "Snowflake", "BigQuery", "Redshift", "Fivetran", "Airflow" ], "continuousLearning" : "Stay current with ML research", "qualificationsBasic" : "4+ years of experience, PhD in Computer Science, Proficiency in SQL", "qualificationsPreferred" : "Experience with PyTorch, Experience with TensorFlow, Experience with Hugging Face, Experience with MLflow, Experience with scikit-learn, Experience with XGBoost, Experience with LightGBM, Experience with dbt Cloud, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Fivetran, Experience with Airflow, Experience with AWS, Experience with GCP, Experience with Azure, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation AI systems that push the boundaries of model training, inference, and large-scale distributed compute. The ML Models team sits at the intersection of cutting-edge AI research and high-performance hardware, bringing state-of-the-art machine learning models to life on Tenstorrent’s custom AI accelerators. From training large language models to optimizing inference performance at scale, this team works across the full stack to turn breakthrough research into production-ready AI systems. If you are passionate about model training, ML systems optimization, and advancing the frontier of AI research, this is an opportunity to shape how future AI models are developed and deployed. This role is hybrid, based out of Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Strong Python and PyTorch experience developing and training deep learning models. Deep understanding of ML architectures, LLM training, and inference optimization. Hands-on experience training large-scale machine learning models. 4+ years of industry and/or academic experience in ML research and LLM development. PhD, published research, or experience with speculative decoding is highly valued. What We Need Lead research and development efforts focused on LLM training and inference optimization. Train, evaluate, and optimize state-of-the-art AI models on Tenstorrent hardware. Improve performance through techniques such as speculative decoding, quantization, kernel fusion, flash attention, and distributed training. Investigate system bottlenecks and collaborate cross-functionally to drive performance improvements. Translate cutting-edge ML research into scalable, production-ready solutions. What You Will Learn How to optimize AI models on custom AI accelerators from application to silicon. How large-scale ML systems are deployed, tuned, and scaled in production. How hardware, compiler, kernel, and ML teams collaborate to maximize performance. The challenges and tradeoffs of scaling modern AI workloads across custom hardware. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U. S. export-controlled technology. Due to U. S. export laws, including those codified in the U. S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U. S. and all countries outside the U. S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U. S. Commerce Department or applicable federal agency. If employment is not possible due to U. S. export laws, any offer of employment will be rescinded.", "summaryDescription" : "Sr. Staff Machine Learning Researcher - Model Training & Optimization at Tenstorrent. Skills: Machine Learning, Model Training, Model Optimization, Research. Conduct research on model training and optimization. Develop and implement novel algorithms", "postedDate" : "2026-06-14T18:33:30.385", "createdAt" : "2026-06-14T18:33:30.385", "lastUpdated" : "2026-06-16T05:13:34.501", "ingestTimestamp" : "2026-06-14T18:33:30.385", "mongoId" : "6a2c6b6874d8ee00a0912247", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Deep learning", "Statistical modeling", "Data engineering", "Algorithm development", "Machine Learning", "Model Training", "Model Optimization", "Research", "Model training", "Model optimization", "Development", "Large language models", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "MLflow", "Dbt Cloud", "Databricks", "Snowflake", "BigQuery", "Redshift", "Fivetran", "Airflow" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 423.1796, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5dd274d8ee00a08decf8", "title" : "Merchandising Coordinator, Fine Jewelry", "company" : "Brilliant Earth", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Merchandising Coordinator in India, adjusted for the retail industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T01:48:47.448", "fingerprint" : "16101482f4516f887f22a3177df2baafb645346f91492a0896b9e84a8788427e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/brilliantearth/jobs/4253766009", "externalId" : "4253766009", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "minimumEducation" : "Bachelor's", "technicalSkills" : "Excel, Domo, NetSuite", "professionalSkills" : [ "Product lifecycle management", "Product assortment", "Pricing strategy", "Trend monitoring", "Data management" ], "hardSkillsList" : [ "Data synthesis", "Pivot tables", "Lookup functions" ], "softSkillsList" : [ "Adaptability", "Curiosity" ], "hardSkills" : [ { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "Lookup functions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" }, { "name" : "Curiosity" } ], "majorSkills" : "Merchandising, Data analysis, Product launch", "majorSkillsList" : [ "Merchandising", "Data analysis", "Product launch" ], "coreResponsibilities" : "Run business reporting, Evaluate product performance, Evaluate category performance, Support product lifecycle stages, Assist on collection briefing, Assist design brainstorm, Assist costing, Assist product launch initiatives, Conduct competitor reviews, Monitor trends, Monitor pricing, Monitor promotional activity, Monitor product introductions, Participate in product development, Build product assortments, Maintain SKU attribute information, Maintain pricing information, Collaborate to launch new product, Collaborate to drive category performance", "teamCollaboration" : "Cross-functional teams; Design team; Production team; Planning team; Ecommerce team; Marketing team; Operations team; Site merchandising team", "domainKnowledge" : "Fine jewelry", "domainList" : [ "fine-jewelry" ], "domainSpecificKnowledge" : [ "Fine jewelry" ], "toolProficiency" : [ "Excel", "Domo", "NetSuite" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Training opportunities; Continued Education; Tuition reimbursement", "innovationCreativity" : "Design brainstorm", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Critical thinking", "outcomesObjectives" : "Support sales plans; Support growth plans", "qualificationsBasic" : "2 years analytical experience, 2 years corporate merchandising experience, Synthesize data in Excel, Use pivot tables, Use lookup functions, Work individually, Work as a team player", "qualificationsPreferred" : "Experience with Domo, Experience with NetSuite, Familiarity with AI-assisted workflows, Curiosity to learn AI", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Merchandising Coordinator, Fine Jewelry Merchandising - Remote Position Overview: We are looking for a detail-oriented Merchandising Coordinator to join our Merchandising team and support the growth of our Fine Jewelry business. The ideal candidate brings a genuine appreciation for fine jewelry craftsmanship and design, paired with strong analytical instincts and a collaborative spirit. In this role, you will support product lifecycle and launch initiatives across cross-functional teams — including Design, Production, Planning, Ecommerce, and Marketing — ensuring a seamless product experience across all customer touchpoints. Key responsibilities include: Run regular business reporting to evaluate product and category performance, including growth, mix and profitability. Support team members across all stages of the product lifecycle from line plan to launch, assisting on collection briefing, design brainstorm, costing, and downstream product launch initiatives. Conduct competitor reviews to monitor trends, pricing, promotional activity, and product introductions. Participate in the product development process, partnering with category merchants to build product assortments that support sales and growth plans. Maintain accurate SKU attribute and pricing information. Collaborate with cross functional teams, including production, operations, marketing, and site merchandising to launch new product and drive category performance. Specific qualifications include: BA degree or equivalent, preferred 2 years of analytical experience or corporate merchandising experience in a consumer-based retail environment. Excellent analytical and problem-solving skills. Ability to synthesize data in Excel through the use of pivot tables and lookup functions to understand business trends and provide forward-thinking insight. Extremely detail oriented and exceptional time management skills and accountability Strong ability to work individually and as a team player to execute projects Excellent written and verbal communication skills Ability to think critically and adapt quickly in a flexible environment Entrepreneurial attitude/self-starter Interest in socially and environmentally responsible organizations and products A curiosity and appreciation for product, jewelry, and design Experience with sales and data management software; experience with Domo, NetSuite, or similar, a plus. Comfort working with data tools and emerging technologies, including familiarity with AI-assisted workflows or a curiosity to learn. What We Offer At Brilliant Earth, we’re passionate about the employee experience. That’s why we offer an excellent training program and endless opportunities for career growth! In addition, we offer competitive compensation and a robust benefits package, including: Career Growth. We want to see you sparkle! Through regular 1-1’s with your manager, a variety of training opportunities, and an annual 360 review process for all employees, our leaders are dedicated to creating clear pathways for growth. Ask the hiring team for more information on how Brilliant Earth creates a culture of collaboration and growth during your interview conversations! Diverse, mission-minded team. We were founded to cultivate a more transparent, sustainable, compassionate, & inclusive jewelry industry. Learn more about our impact and team diversity Here! Lifestyle Spending Account. At Brilliant Earth, we're committed to your well-being. Enjoy company reimbursements for eligible wellness expenses, such as gym memberships, massage, counseling, and more! Continued Education. Company-sponsored learning in leadership, professional skills, diversity & inclusion, and access to tuition reimbursement for role-specific trainings. Employee Discounts. As an employee at Brilliant Earth, you’ll receive a generous discount on our jewelry. Mental Wellness Perks. We offer access to mental health resources, such as self-care apps and seminars. Our Employee Assistance program offers 24/7 access to counseling! Giving Back and Volunteer Opportunities. In addition to our giving back programs, our teams support local initiatives and spend time together by volunteering. Medical, Dental, and Vision. We offer multiple plans to choose from, including a $0 monthly premium option for employee health insurance and employer HSA contributions. Insurance kicks in on the first day of your 2nd month! 401k match. We know that saving for the future is important. That's why we offer a generous 401k match. Open PTO Policy. We know it’s important to recharge and relax. Parental Leave. We aim to support our growing families. Employees can utilize our paid parental leave to bond and care for their new additions. Disability and Life insurance. 100% employer-paid. Pre-Tax Commuter Benefits. More About Us At Brilliant Earth, our mission is to cultivate a more transparent, sustainable, compassionate, & inclusive jewelry industry. We believe in creating jewelry you can feel good about wearing, without ever compromising between quality and conscience. We are hard-working team players that welcome challenges and rise to any occasion. Our community of collaboration, respect and encouragement is fostered by frequent team events, cross-departmental meetings and celebrating our wins, big and small. As one of the fastest growing e-commerce jewelers in the world, we're searching for bright and passionate people who are excited to make an impact from day one and grow with the company to take on greater responsibility over time. Brilliant Earth recognizes the value of diversity and inclusion on our team, as we work together to reinvent fine jewelry in a thoughtful and modern way. At Brilliant Earth, we celebrate each other – our successes, the lessons along the way, and the unique perspectives each individual brings to our team. It is our intent to maintain a work environment and hiring process which is free of harassment or discrimination because of sex, race, religion, color, national origin, physical or mental disability, genetic information, marital status, age, sexual orientation, gender identity, military service, veteran status, or any other status protected by Federal, State or local laws. We are committed to complying with all Federal, State and local laws providing Equal Employment Opportunities, and all other employment laws and regulations. When you apply for a job with Brilliant Earth, we process personal information about you. Please see our Privacy Policy for more information. Notice to Los Angeles, CA Applicants: Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to San Francisco, CA Applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for Employment qualified applicants with arrest and conviction records. Notice to Philadelphia, PA Applicants: Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Philadelphia Fair Criminal Record Screening Standards. Any consideration of the background check will be an individualized assessment based on the Applicant or Employee’s specific record and the duties and requirements of the specific job. Notice to Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Maryland Applicants: Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a lie detector or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100. If you need assistance or reasonable accommodation completing an application or at any stage of the interview process, please reach out to us at accommodations@brilliantearth.com.", "summaryDescription" : "Merchandising Coordinator, Fine Jewelry at Brilliant Earth. Skills: Merchandising, Data analysis, Product launch. Run business reporting. Evaluate product performance", "postedDate" : "2026-06-12T21:46:37.385", "createdAt" : "2026-06-12T21:46:37.385", "lastUpdated" : "2026-06-15T01:48:47.448", "ingestTimestamp" : "2026-06-12T21:46:37.385", "mongoId" : "6a2c5dd274d8ee00a08decf8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data synthesis", "Pivot tables", "Lookup functions", "Adaptability", "Curiosity", "Merchandising", "Data analysis", "Product launch", "Product lifecycle management", "Product assortment", "Pricing strategy", "Trend monitoring", "Data management", "Fine jewelry", "Excel", "Domo", "NetSuite" ], "skillCount" : 17, "jobCategory" : "other", "jobSubcategory" : "merchandising", "dataQualityScore" : 0.7777778, "_score" : 422.92636, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a3056aef292fd229cf2c9d1", "title" : "Leader in Training", "company" : "RISE Dispensary", "industry" : "Retail", "salary" : { "min" : 40500.0, "max" : 54500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level retail leads in Spanish Springs, Nevada, adjusted for company size and industry." }, "location" : "Spanish Springs, Nevada, United States", "locations" : [ "Spanish Springs", "Nevada", "United States" ], "timestamp" : "2026-06-16T07:18:39.242", "fingerprint" : "4f73b84aa2b44e3c867f3e3b325035c9b778e1085b9a7660d5d749b24434a60d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/greenthumbindustries/jobs/7991347", "externalId" : "7991347", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Spanish Springs", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.6470370,-119.6741101" } ], "locationText" : "Spanish Springs, Nevada, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Word processing, Database management, Spreadsheet applications, Email", "professionalSkills" : [ "Cash handling", "Inventory management", "Customer service", "Team leadership", "Onboarding", "Training", "Coaching", "Feedback delivery", "Scheduling", "Conflict resolution" ], "hardSkillsList" : [ "Payment processing", "Discount application", "Cash maintenance", "Product assortment", "Delivery verification", "Inventory verification" ], "softSkillsList" : [ "Leadership", "Interpersonal skills", "Judgment", "Resourcefulness", "Adaptability", "Critical thinking" ], "hardSkills" : [ { "name" : "Payment processing", "level" : "intermediate" }, { "name" : "Discount application", "level" : "intermediate" }, { "name" : "Cash maintenance", "level" : "intermediate" }, { "name" : "Product assortment", "level" : "intermediate" }, { "name" : "Delivery verification", "level" : "intermediate" }, { "name" : "Inventory verification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Interpersonal skills" }, { "name" : "Judgment" }, { "name" : "Resourcefulness" }, { "name" : "Adaptability" }, { "name" : "Critical thinking" } ], "majorSkills" : "Customer experience, Operations management, Team supervision", "majorSkillsList" : [ "Customer experience", "Operations management", "Team supervision" ], "coreResponsibilities" : "Supervise dispensary operations, Ensure compliance with regulations, Monitor inventory levels, Communicate inventory action items, Oversee delivery intake, Verify deliveries, Manage inventory accuracy, Lead team members, Execute programs and promotions, Process payments, Apply discounts, Maintain cash, Motivate team members, Deliver customer experiences, Provide active supervision, Recognize team members, Redirect behaviors, Facilitate omni-channel experience, Deliver consistency across channels, Motivate team for loyalty goals, Delegate assigned tasks, Ensure sales floor coverage, Ensure zoning during shifts, Participate in selecting talent, Lead onboarding, Train new team members, Provide coaching, Provide feedback, Issue accountability, Facilitate badging process, Coordinate scheduling, Coordinate meal breaks, Coordinate rest periods, Perform other duties", "teamCollaboration" : "Work with management; Work with General Manager; Work with Assistant General Manager", "domainKnowledge" : "Cannabis laws; Cannabis industry", "domainList" : [ "cannabis-laws", "cannabis-industry" ], "domainSpecificKnowledge" : [ "Cannabis laws", "Cannabis industry" ], "toolProficiency" : [ "Computer software" ], "specialRequirements" : "Move about dispensary, Remain stationary, Converse with individuals, Operate machinery, Prepare orders, Move inventory, Work outdoors, Adverse weather conditions, Exposure to cannabis", "qualificationsBasic" : "3+ years customer service experience, 1+ year supervisory experience, Meet scheduling requirements, Reliable, responsible attendance, 21 years or older, Valid driver's license or ID, Understand Green Thumb policies, Solid understanding of Cannabis laws", "qualificationsPreferred" : "Cannabis experience preferred, Inventory control experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Role The Leader in Training (LIT) is an adaptable and essential part of the RISE Dispensary leadership team that prioritizes delivering memorable, positive consumer experiences. As part of the leadership team, you have a key role in actively supervising the dispensary’s daily operations, communicating priorities to team members, and optimizing the customer journey. As a Leader in Training, you will gain subject matter expertise as you rotate through critical dispensary functions supporting operations, experience, and people. The Leader in Training role puts you on a fast track to growth and is a developmental step to becoming Assistant General Manager. Responsibilities Operations Support management in overseeing the execution of all dispensary operations to ensure compliance with security, inventory, and local and state regulations. Monitor and maintain inventory levels, ensuring an assortment of products and communicating inventory action items with management. Oversee the intake and verification of deliveries, transfers, and inventory management, ensuring accuracy within the vault. Actively participate in leading team members to effectively execute programs, initiatives, and regionalized in-store promotions. Demonstrate proper cash handling, including accurately processing payments, discount application, and cash maintenance, and oversee team member execution. Experience Lead by example and motivate team members to consistently deliver memorable, positive in-store customer experiences. Participate in “Leader On Duty” shifts to provide active supervision, team member recognition, and redirect behaviors to support the customer journey. Facilitate a seamless omni-channel customer experience and provide oversite to deliver consistency across in-store, drive-thru, curbside & delivery. Lead by example and motivate team members to deliver Loyalty goals. Complete and appropriately delegate assigned tasks during scheduled shifts. Ensure adequate sales floor coverage and zoning during shifts. People In partnership with the General Manager or Assistant General Manager, build and retain a high-performing team by participating in selecting the best talent and leading the onboarding and training of new team members. Provide coaching and feedback to help team members exceed performance and behavioral expectations. Partner with management to issue accountability. Help facilitate the store’s team member badging process with local and state agencies. Maintain and coordinate scheduling of team members' shifts, meal breaks, and rest periods. Perform other duties as needed. Qualifications At least three years of customer service or retail experience, with at least one year in a supervisory role. Cannabis experience preferred Inventory control experience preferred Meet the scheduling and availability requirements (i.e., ability to work a schedule inclusive of varying shifts such as mornings, days, nights, and weekends) to meet business needs Must have reliable, responsible and dependable attendance. Must be 21 years or older. Must pass any and all required background checks. Must possess a valid driver’s license or state ID. Must understand and comply with the rules, regulations, policies, and procedures of Green Thumb Must have a solid understanding of the Cannabis laws, rules and regulations, and a passion to further their understanding and knowledge of the industry and the laws. Prior cannabis experience not required Skills Must be proactive, with a strong work ethic, attention to detail, and strong communication and leadership skills. Meet timelines consistently and be able to work under pressure effectively. Continuously open to constructive, developmental feedback, and maintaining composure even in difficult situations. High level of interpersonal skills in a fast-paced, deadline-oriented environment, often working cross-functionally. Ability to use standard office equipment and computer software including word processing, database management, spreadsheet applications, and email Highly motivated, self-directed, innovative, and able to work independently or among teams with keen judgment, common sense, and resourcefulness. Adapts and thrives in a demanding, fast-paced environment Possesses a high level of critical thinking Operates with a high level of professionalism and integrity, including dealing with confidential information Ability to resolve conflict, handle employee and customer complaints, and settle disputes Additional Requirements Must have the ability to perform the following tasks for prolonged periods of time (i.e., up to the duration of a scheduled shift or workday) Move about the dispensary in order to fulfill work assignments and assist employees and patients and/or customers in various locations of the dispensary Remain in a stationary position, if required, to meet the needs of the business Converse and communicate with individuals and groups of people directly Operate point of sale system, computer, and other office productivity machinery in order to use online programming and software including word processing, database management, spreadsheet applications and email Prepare patient and customer orders by moving and placing products Inspect and receive detailed information, such as patients' and/or customers' dates of birth, in-store or online orders, or inquiries Move inventory and materials weighing up to 30 pounds independently Position self to move inventory and materials in storage areas Working Conditions Patient and/or customer-facing environment Ability to work outdoors in varying and sometimes adverse weather conditions Exposure to cannabis and/or allergens that might be present in an environment where cannabis is present and prevalent", "summaryDescription" : "Leader in Training at RISE Dispensary. Skills: Customer experience, Operations management, Team supervision. Supervise dispensary operations. Ensure compliance with regulations", "postedDate" : "2026-06-15T23:20:22.324", "createdAt" : "2026-06-15T23:20:22.324", "lastUpdated" : "2026-06-16T07:18:39.242", "ingestTimestamp" : "2026-06-15T23:20:22.324", "mongoId" : "6a3056aef292fd229cf2c9d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 40500, "salaryAnnualMax" : 54500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Payment processing", "Discount application", "Cash maintenance", "Product assortment", "Delivery verification", "Inventory verification", "Leadership", "Interpersonal skills", "Judgment", "Resourcefulness", "Adaptability", "Critical thinking", "Customer experience", "Operations management", "Team supervision", "Cash handling", "Inventory management", "Customer service", "Team leadership", "Onboarding", "Training", "Coaching", "Feedback delivery", "Scheduling", "Conflict resolution", "Cannabis laws", "Cannabis industry", "Computer software" ], "skillCount" : 28, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 421.21722, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30510ff292fd229cef909e", "title" : "Engineer In Training", "company" : "Simpson Gumpertz & Heger", "salary" : { "min" : 79560.0, "max" : 108160.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T08:10:35.949", "fingerprint" : "0852106eb601a517795959f59eaf5bf5153329971147e93526cc7781902e188a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.sgh.com/careers/job-openings/view-job/8543976002?gh_jid=8543976002", "externalId" : "8543976002", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "rawDescription" : "Do you want to help engineer what’s next? Simpson Gumpertz & Heger (SGH) is a national engineering firm committed to delivering holistic advice for our clients’ most complex challenges. We leverage our collective and diverse experience, technical expertise, and industry knowledge of structures and building enclosures, advanced analysis, performance & code consulting, and applied science & research to deliver unrivaled, comprehensive solutions that drive superior performance. With 800 employees in offices nationwide, SGH’s industry-leading teams constantly seek to advance the meaning of what’s possible. What makes careers at SGH so special? The only way to advance is to question and explore. Every member of the SGH team is both a learner and an educator, committed to advancing ourselves, our teams, and our industry. Together we are creating a community that never settles for what is but always seeks what could be. There are many reasons to love SGH: Our Work: Our clients trust us to bring clarity and deliver outstanding solutions for their most complex projects. Our People: We are bold thinkers and compassionate teammates, committed to lifelong learning and professional growth. Our Commitment: We live with integrity and embrace an obligation to give back to our professions and communities. Our Contribution: We offer a comprehensive and rich compensation and benefits package with company-paid and voluntary programs to help build healthy lifestyles, strong relationships, and future prosperity. We want someone passionate about engineering and problem-solving. Our Building Technology division is always looking for great talent, and especially people who enjoy solving difficult problems. We are currently looking to speak with recent and upcoming graduates with a Bachelor of Science in Civil, Structural, or Architectural Engineering to join our NYC office in 2026. What You’ll Do: Building Technology is applying engineering principles, physics, and materials science to the exterior envelope of buildings to make them durable, energy-efficient, and able to resist water infiltration reliably. As an Associate Project Consultant, under the direction of a licensed engineer, you will assist with new design, evaluation, investigation, and design of repairs for existing buildings. Essential duties include climbing ladders and scaffolds, the ability to work at great heights, and the ability to travel by car to multiple job sites. A strong technical education, professional demeanor, and desire to learn are essential to this position. What You’ll Need: Bachelor of Science in Civil, Structural, or Architectural Engineering. 0 to 5 years of experience, EIT preferred. Demonstrated interest in building construction and solving engineering problems. Commitment to lifelong learning and enthusiasm for the work. Experience in any of the following areas is a plus: building construction or an allied field, industrial rope access (rock climbing), mechanical repair, AutoCAD, Revit. Enthusiasm and passion while consistently maintaining high levels of activity and productivity. Communication - conveys information to internal and external clients clearly with excellent writing and oral skills. Problem-solving – capability to solve minor or complex problems using data, logic, judgment, and problem-solving tools. Accountability and responsibility - self-starter with willingness to interact as a team player and take independent initiative to ensure tasks are completed. Teamwork - work with others toward a shared goal, participating actively, sharing responsibility and rewards, and contributing to the capability of the team. Teachable – passionate and willingness for continued learning new ideas and concepts. Must be able to climb ladders and scaffolds, and work at great heights. A valid U. S. driver’s license and an acceptable Motor Vehicle Report are required for this role. Benefits Overview: SGH provides the following benefits to eligible employees: Paid Time Off (Vacation time, Sick leave, Holidays) Paid Parental Leave Profit Sharing and 401(k) plan with a discretionary company contribution Health Insurance (Medical, Dental & Vision) Short and Long-Term Disability (company paid) Employee Basic Life and AD&D insurance (company paid) Optional Life Insurance Healthcare and Dependent Care Flexible Spending Accounts Fertility, Family Forming, and Hormonal Health benefit Employee Assistance Program Empathy Bereavement Support Pre-tax Commuter Benefit AFLAC Accident & Cancer Insurance Legal & Identity Theft plans Tuition Reimbursement Compensation: This compensation range is a good faith estimate pursuant to applicable equal pay and pay transparency laws. The actual salary offered will be based on several factors including the candidate’s experience, highest degree achieved, qualifications, work location and job title level. Associate Project Consultant: Bachelor’s Degree: $79,560 - $81,640 Master’s Degree: $83,200 - $85,280 Project Consultant: Bachelor’s Degree: $82,680 - $101,920 Master’s Degree: $83,720 - $108,160 Doctorate Degree: $90,480 - $108,160 Base salary is a part of SGH’s industry leading Total Compensation package. Our Total Compensation package includes base salary, pay for extra hours worked, an annual discretionary bonus program, generous paid time off, and health and wellness benefits with a special emphasis on substantial SGH contributions to medical insurance premiums and SGH’s Profit Sharing & 401(k) Plan. This position is eligible for a $5,000 sign-on bonus. Associate Project Consultant: $79,560—$85,280 USD Project Consultant: $82,680—$108,160 USD SGH is an Equal Opportunity Employer. We are committed to providing equal opportunities to all job applicants and employees. We consider all qualified applicants and encourage individuals with disabilities and protected veterans to apply. If the application system is not accessible to you, or you need a reasonable accommodation to apply due to a disability, please email jobs@sgh.com or call 781-907-9000 and ask for Human Resources. TO ALL RECRUITMENT AGENCIES: SGH does not accept unsolicited agency resumes or candidate profiles. Please do not forward resumes or profiles for any of our job postings to our career site or to any Simpson Gumpertz & Heger employee. SGH is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Engineer In Training at Simpson Gumpertz & Heger", "postedDate" : "2026-06-15T23:16:13.738", "createdAt" : "2026-06-15T23:16:13.738", "lastUpdated" : "2026-06-16T08:10:35.949", "ingestTimestamp" : "2026-06-15T23:16:13.738", "mongoId" : "6a30510ff292fd229cef909e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 79560, "salaryAnnualMax" : 108160, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 420.90237, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 23461, "totalPages" : 470, "hasNext" : true, "hasPrevious" : false } }

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