{ "count" : 15267, "data" : [ { "id" : "6a2ce87874d8ee00a0a6acd0", "title" : "Data Infrastructure & Analytics Specialist", "company" : "CertifyOS", "industry" : "Data", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Infrastructure & Analytics Specialist in Pune, India, adjusted for mid-seniority level and the healthcare industry." }, "location" : "Pune, India", "locations" : [ "Pune, India", "Bengaluru, India" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:51:45.055", "fingerprint" : "7af5d7b4b0a6ac728a622a5045be8012a101bbc98b30e04f5f6d2f48a12749c2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/certifyos/ecd970e2-8c1d-4d30-9dee-000cd2e92e8f/application", "externalId" : "ecd970e2-8c1d-4d30-9dee-000cd2e92e8f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, India", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Vertex AI, Azure ML", "professionalSkills" : [ "Data engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data pipelines", "Model deployment", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data infrastructure, Analytics engineering, Machine learning", "majorSkillsList" : [ "Data infrastructure", "Analytics engineering", "Machine learning" ], "coreResponsibilities" : "Design data infrastructure, Build data pipelines, Develop data models, Implement ML models, Create BI dashboards, Analyze data, Ensure data quality, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "5+ years of experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "rawDescription" : "About CertifyOS CertifyOS is building the data infrastructure that powers modern healthcare. Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem. Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale. Our vision is simple: One API. One provider ID. Frictionless provider data. We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients. About the role: We are looking for a highly skilled Data Infrastructure & Analytics to own and scale our internal data ecosystem. This role sits at the intersection of data engineering and analytics, with responsibility for building robust data pipelines, enabling reporting across the organization, and guiding dashboard development across multiple product lines. You will play a critical role in shaping how data is collected, structured, and consumed—driving impact in a deeply data-driven organization where data is central to every decision What you’ll do (Job responsibilities): Data Infrastructure & Engineering - Design, build, and maintain scalable internal data infrastructure - Develop and manage ETL/ELT pipelines to move data from systems like Firestore and Spanner into BigQuery - Ensure data is properly structured, modeled, and optimized for analytics and reporting - Maintain reliability, performance, and data quality across pipelines Reporting & Data Delivery - Own internal and external reporting systems across the organization - Build and maintain automated reporting workflows (e.g., exports, scheduled jobs via Airflow) - Deliver data to stakeholders through dashboards, reports, and automated data pipelines Dash-boarding & Analytics Enablement - Build and maintain dashboards using tools such as Looker, Tableau, Omni, Superset, or similar platforms - Define best practices and guide analysts on dashboard design, performance, and scalability - Support new and existing product lines with analytics and reporting needs - Partner with cross-functional teams to translate business requirements into data solutions Leadership & Impact - Act as a technical leader for data infrastructure and analytics initiatives - Drive data strategy and influence how data is used across the company - Mentor analysts and support their development in dashboarding and data best practices Who you are (Job requirements): - Minimum 4 years of strong experience in data engineering and analytics roles - Hands-on experience with GCP (BigQuery, Firestore, Spanner) - Hands-on experience with Python and SQL - Experience building and maintaining ETL/ELT pipelines - Proficiency with workflow orchestration tools like Airflow - Experience with dashboarding tools (Looker, Tableau, Superset, Omni, etc.) - Familiarity with GitHub and modern development workflows - Experience working with both structured and unstructured data - Comfort using modern AI-assisted coding tools (e.g., Cursor, Claude) - Strong problem-solving skills and ability to work across teams - Flexibility working with US timezones. Benefits of Working at Certify At Certify, we’re building with intention and taking care of the people doing the work. Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women. We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences. If you require reasonable accommodations during the application process, please contact recruiting@certifyos.com. We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.", "summaryDescription" : "Data Infrastructure & Analytics Specialist at CertifyOS. Skills: Data infrastructure, Analytics engineering, Machine learning. Design data infrastructure. Build data pipelines", "createdAt" : "2026-06-14T18:32:33.739", "lastUpdated" : "2026-06-16T04:51:45.055", "ingestTimestamp" : "2026-06-14T18:32:33.739", "mongoId" : "6a2ce87874d8ee00a0a6acd0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data warehousing", "ETL processes", "Data pipelines", "Model deployment", "A/B testing", "Causal inference", "Data infrastructure", "Analytics engineering", "Machine learning", "Data engineering", "Data modeling", "Statistical analysis", "Business intelligence", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 868.1396, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056e0f292fd229cf301f2", "title" : "On-the-Ground Specialist (Contractor)", "company" : "Instacart", "industry" : "Retail", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T09:22:05.941", "fingerprint" : "d118f4332f667a7abfb654f1d3211dbd8f53dd7e3060473d02c73d2a924da287", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8008104", "externalId" : "8008104", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "softSkillsList" : [ "Problem-solving" ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Deployment execution, In-store support, Training reinforcement, Operational excellence", "majorSkillsList" : [ "Deployment execution", "In-store support", "Training reinforcement", "Operational excellence" ], "coreResponsibilities" : "Support end-to-end testing of Caper Carts, Assist with cart setup, staging, and validation, Execute key in-store tasks, Provide on-site support during launch, Troubleshoot issues in real time, Assist customers with Caper Cart usage, Assist store teams with Caper Cart usage, Reinforce best practices, Reinforce training with store associates, Ensure store teams are confident in core workflows, Assist with “train-the-trainer” execution, Maintain cart readiness, Identify and escalate issues, Provide feedback on store performance, Provide feedback on opportunities for improvement, Partner with Implementation Managers, Partner with Ops Leads, Support communication between store teams and internal stakeholders, Adapt to evolving deployment strategies, Support continuous improvement efforts", "teamCollaboration" : "Cross-functional collaboration; Store teams; Internal stakeholders; Implementation Managers; Ops Leads", "domainKnowledge" : "Grocery industry; Retail technology", "domainList" : [ "grocery-industry", "retail-technology" ], "domainSpecificKnowledge" : [ "Grocery industry", "Retail technology" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "In-market travel, Out-of-market travel", "outcomesObjectives" : "Ensure carts are fully functional; Ensure launches are set up for success; Drive early adoption; Ensure smooth customer experience", "qualificationsBasic" : "Hands-on, Detail-oriented, Comfortable working independently, Enjoy working directly with store teams and customers, Take ownership of work, Experience in retail, field operations, or customer-facing roles, Communication and problem-solving skills, Ability to work independently in a fast-paced, in-store environment, Comfortable with light technical troubleshooting, Learning new tools, Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of-market (within U.S.) up to 40% of the time", "qualificationsPreferred" : "Experience supporting retail technology, Experience in-store deployments, Familiarity with training store teams, Familiarity with onboarding store teams, Prior experience in contractor roles, Prior experience in field-based roles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is seeking a reliable and execution-focused On-the-Ground Specialist to support Caper Cart deployments across retail partners. This role is critical in enabling scalable, high-quality launches by providing in-store support for testing, training reinforcement, and launch execution. The On-the-Ground Specialist Specialist works closely with Implementation and Operations teams to ensure carts are fully functional, store teams are supported, and launches are set up for success. This role is designed to provide local, in-market support for deployment execution, complementing the Implementation team’s focus on site visits and training. About the Job In-Store Execution Support Support end-to-end testing of Caper Carts to ensure full functionality ahead of launch Assist with cart setup, staging, and validation to ensure readiness for customer use Execute key in-store tasks aligned to deployment timelines and checklists Launch & Post-Launch Support Provide on-site support during launch to troubleshoot issues in real time Assist customers and store teams with Caper Cart usage as needed Reinforce best practices to drive early adoption and smooth customer experience Training Reinforcement Support Implementation team by reinforcing training with store associates Help ensure store teams are confident in core workflows (checkout flow, cart usage, troubleshooting basics) Assist with “train-the-trainer” execution where applicable Operational Excellence Maintain cart readiness, including charging, cleanliness, and proper placement Identify and escalate issues related to hardware, software, or store operations Provide feedback to Implementation and Operations teams on store performance and opportunities for improvement Cross-Functional Collaboration Partner with Implementation Managers and Ops Leads to execute deployment plans Support communication between store teams and internal stakeholders during launch, including across multiple deployment locations as needed. Adapt to evolving deployment strategies and support continuous improvement efforts About You Minimum Qualifications You are hands-on, detail-oriented, and thrive in fast-paced environments You are comfortable working independently while staying aligned with a broader team You enjoy working directly with store teams and customers to solve problems You take ownership of your work and contribute to successful, high-quality launches Experience in retail, field operations, or customer-facing roles Strong communication and problem-solving skills Ability to work independently in a fast-paced, in-store environment Comfortable with light technical troubleshooting and learning new tools Ability to travel in-market (within 2.5 hours) regularly Flexibility to travel out-of market (within U.S.) up to 40% of the time Preferred Qualifications Experience supporting retail technology or in-store deployments Familiarity with training or onboarding store teams Prior experience in contractor or field-based roles Hourly Rate - $40-$46/hour", "summaryDescription" : "On-the-Ground Specialist (Contractor) at Instacart. Skills: Deployment execution, In-store support, Training reinforcement, Operational excellence. Support end-to-end testing of Caper Carts. Assist with cart setup, staging, and validation", "postedDate" : "2026-06-15T23:19:17.193", "createdAt" : "2026-06-15T23:19:17.193", "lastUpdated" : "2026-06-16T09:22:05.941", "ingestTimestamp" : "2026-06-15T23:19:17.193", "mongoId" : "6a3056e0f292fd229cf301f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Problem-solving", "Deployment execution", "In-store support", "Training reinforcement", "Operational excellence", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Grocery industry", "Retail technology" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 801.8702, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056c7f292fd229cf2e801", "title" : "Associate Ground Operations", "company" : "Flix", "industry" : "Logistics", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Associate Ground Operations in Bengaluru, India, adjusted for the logistics industry and company size." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-16T09:32:08.949", "fingerprint" : "0c6b2ac4c9b97e19d828d608a526d3006eb454642ed340d89438841f58739c24", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://flix.careers/job/8592467002?gh_jid=8592467002", "externalId" : "8592467002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "CONTRACT", "professionalSkills" : [ "Data analysis", "Vendor management", "Stakeholder management" ], "majorSkills" : "Ground operations, Operations management", "majorSkillsList" : [ "Ground operations", "Operations management" ], "coreResponsibilities" : "Ensure seamless execution of intercity travel operations, Ensure ground operational excellence, Manage vendor processes, Interact with international stakeholders", "domainKnowledge" : "Intercity travel operations", "domainList" : [ "intercity-travel-operations" ], "domainSpecificKnowledge" : [ "Intercity travel operations" ], "qualificationsBasic" : "Flexible working in shifts (24/7)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable. As we continue to expand our operations in South India, one of the fastest-growing bus markets in the world, we are looking for a motivated flexible of working in shifts (24/7). However, when schedules are made your personal needs are taken into consideration. We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you! What We Offer Opportunity to work in a rapidly scaling start-up . Play a pivotal role in ensuring the seamless execution of our intercity travel operations, ground operational excellence, data analysis and vendor management processes. Hone your stakeholder management skills by interacting with international stakeholders. Why Join Flix At Flix, we empower our teams to push boundaries and shape the future of mobility. As we continue to scale globally, we harness cutting-edge technology to make mobility smarter, more sustainable, and more affordable. If you’re looking for a place where you can drive change and redefine how millions of people travel, Flix is the place where you can lead your journey! [INSERT GENERAL EMPLOYER BRAND VIDEO]", "summaryDescription" : "Associate Ground Operations at Flix. Skills: Ground operations, Operations management. Ensure seamless execution of intercity travel operations. Ensure ground operational excellence", "postedDate" : "2026-06-15T23:20:52.719", "createdAt" : "2026-06-15T23:20:52.719", "lastUpdated" : "2026-06-16T09:32:08.949", "ingestTimestamp" : "2026-06-15T23:20:52.719", "mongoId" : "6a3056c7f292fd229cf2e801", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Ground operations", "Operations management", "Data analysis", "Vendor management", "Stakeholder management", "Intercity travel operations" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 703.185, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30788af292fd229c02b862", "title" : "Ground Equipment Mechanic", "company" : "Transat AT", "industry" : "Airlines/Aviation", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Ground Equipment Mechanic in Montreal, Canada, adjusted for the logistics industry." }, "location" : "Montreal, Quebec, Canada", "locations" : [ "Montreal", "Quebec", "Canada" ], "timestamp" : "2026-06-16T11:10:12.920", "fingerprint" : "aa3f117f235bfae15276b9e319fd91b972b5ecc951ba118c657150223e941561", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/TransatAT1/744000132256905-ground-equipment-mechanic", "externalId" : "744000132256905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "hardSkillsList" : [ "Welding", "Propane knowledge", "Electrical knowledge", "Diesel knowledge", "Gas knowledge" ], "hardSkills" : [ { "name" : "Welding", "level" : "intermediate" }, { "name" : "Propane knowledge", "level" : "intermediate" }, { "name" : "Electrical knowledge", "level" : "intermediate" }, { "name" : "Diesel knowledge", "level" : "intermediate" }, { "name" : "Gas knowledge", "level" : "intermediate" } ], "majorSkills" : "Mechanical repair, Ground equipment maintenance", "majorSkillsList" : [ "Mechanical repair", "Ground equipment maintenance" ], "coreResponsibilities" : "Handle maintenance on ground equipment, Handle mechanical repair on ground equipment, Handle maintenance on heavy vehicles, Handle mechanical repair on heavy vehicles, Handle maintenance on light vehicles, Handle mechanical repair on light vehicles", "teamCollaboration" : "Communicate with colleagues; Collaborate with customers; Collaborate with stakeholders", "domainKnowledge" : "Air Transat vehicles", "domainList" : [ "air-transat-vehicles" ], "domainSpecificKnowledge" : [ "Air Transat vehicles" ], "communicationSkills" : "Oral communication; Written communication", "continuousLearning" : "Learn all facets of the trade", "specialRequirements" : "Physical demands", "qualificationsBasic" : "Relevant training or experience, Ability to obtain RAIC card, Ability to obtain DA drivers permit", "qualificationsPreferred" : "Experience in bodywork, Mastery of welding (mig and tig), Knowledge of propane, Knowledge of electrical, Knowledge of diesel, Knowledge of gas propulsive", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Be part of the journey! Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work and, above all, a healthy dose of fun enable us to achieve great things every day. Our dedication has earned us the title of the world's best leisure airline multiple times, and we’re just getting started. Want to join us? You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in a modern, inspiring environment. * Handles the maintenance and mechanical repair tasks on ground equipment; * Handles the maintenance and mechanical repair tasks on heavy/ light weight Air Transat vehicles. ## Qualifications * Relevant training and/or experience in this specific field. * Experience in body bodywork with a mastery of welding (mig and tig),an asset. * Great desire to learn all the facets of the trade. * Team spirit, resourcefulness, ability to meet deadlines, detail oriented. * Knowledge of propane, electrical, diesel and gas propulsive equipment; an asset. * Ability to obtain RAIC card and DA drivers permit (Airport pass from Transport Canada). ## Additional Information A good knowledge of French is required for positions in Quebec. The incumbent will be required to communicate and collaborate in English, both orally and in writing, with colleagues, customers, and other stakeholders in Quebec, the rest of Canada, and internationally. Artificial intelligence tools are used to analyze applications, whether to sort or preselect profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process. #LI-AB1 Employment Equity At Transat, we foster an environment where inclusiveness, respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women, members of visible minorities, ethnic minorities, aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. If you require an accommodation, please contact us in order to work together in meeting adequately your needs.", "summaryDescription" : "Ground Equipment Mechanic at Transat AT. Skills: Mechanical repair, Ground equipment maintenance. Handle maintenance on ground equipment. Handle mechanical repair on ground equipment", "postedDate" : "2026-06-15T18:16:55.000", "createdAt" : "2026-06-16T01:32:48.522", "lastUpdated" : "2026-06-16T11:10:12.920", "ingestTimestamp" : "2026-06-16T01:32:48.522", "mongoId" : "6a30788af292fd229c02b862", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Welding", "Propane knowledge", "Electrical knowledge", "Diesel knowledge", "Gas knowledge", "Mechanical repair", "Ground equipment maintenance", "Air Transat vehicles" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 696.1175, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056e0f292fd229cf30225", "title" : "On-the-Ground-Specialist (Contractor) - Caper Deployments", "company" : "Instacart", "industry" : "Retail", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T07:27:40.427", "fingerprint" : "ea528fa26eb07f654f226d35d40d5116982c4bb1dff158dfb27fa5f6e0b06e39", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8008098", "externalId" : "8008098", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "majorSkills" : "Deployment execution, In-store support, Training reinforcement", "majorSkillsList" : [ "Deployment execution", "In-store support", "Training reinforcement" ], "coreResponsibilities" : "Support end-to-end testing of Caper Carts, Assist with cart setup, staging, and validation, Execute key in-store tasks, Provide on-site support during launch, Troubleshoot issues in real time, Assist customers with Caper Cart usage, Assist store teams with Caper Cart usage, Reinforce best practices, Reinforce training with store associates, Ensure store teams are confident in core workflows, Assist with train-the-trainer execution, Maintain cart readiness, Identify and escalate issues, Provide feedback on store performance, Provide feedback on opportunities for improvement, Partner with Implementation Managers, Partner with Ops Leads, Support communication between store teams, Support communication between internal stakeholders, Adapt to evolving deployment strategies, Support continuous improvement efforts", "teamCollaboration" : "Implementation and Operations teams; Store teams; Internal stakeholders; Multiple deployment locations", "domainKnowledge" : "Caper Cart deployments; Grocery industry", "domainList" : [ "caper-cart-deployments", "grocery-industry" ], "domainSpecificKnowledge" : [ "Caper Cart deployments", "Grocery industry" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel in-market (within 2.5 hours) regularly, Travel out-of-market (within U.S.) up to 40% of the time", "outcomesObjectives" : "Enable scalable, high-quality launches; Ensure carts are fully functional; Ensure store teams are supported; Ensure launches are set up for success; Drive early adoption; Ensure smooth customer experience", "qualificationsBasic" : "Hands-on, Detail-oriented, Comfortable working independently, Enjoy working directly with store teams and customers, Take ownership of work, Experience in retail, field operations, or customer-facing roles, Communication skills, Problem-solving skills, Ability to work independently in a fast-paced, in-store environment, Comfortable with light technical troubleshooting, Learning new tools, Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of-market (within U.S.) up to 40% of the time", "qualificationsPreferred" : "Experience supporting retail technology, Experience supporting in-store deployments, Familiarity with training store teams, Familiarity with onboarding store teams, Prior experience in contractor roles, Prior experience in field-based roles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is seeking a reliable and execution-focused On-the-Ground Specialist to support Caper Cart deployments across retail partners. This role is critical in enabling scalable, high-quality launches by providing in-store support for testing, training reinforcement, and launch execution. The On-the-Ground Specialist Specialist works closely with Implementation and Operations teams to ensure carts are fully functional, store teams are supported, and launches are set up for success. This role is designed to provide local, in-market support for deployment execution, complementing the Implementation team’s focus on site visits and training. About the Job In-Store Execution Support Support end-to-end testing of Caper Carts to ensure full functionality ahead of launch Assist with cart setup, staging, and validation to ensure readiness for customer use Execute key in-store tasks aligned to deployment timelines and checklists Launch & Post-Launch Support Provide on-site support during launch to troubleshoot issues in real time Assist customers and store teams with Caper Cart usage as needed Reinforce best practices to drive early adoption and smooth customer experience Training Reinforcement Support Implementation team by reinforcing training with store associates Help ensure store teams are confident in core workflows (checkout flow, cart usage, troubleshooting basics) Assist with “train-the-trainer” execution where applicable Operational Excellence Maintain cart readiness, including charging, cleanliness, and proper placement Identify and escalate issues related to hardware, software, or store operations Provide feedback to Implementation and Operations teams on store performance and opportunities for improvement Cross-Functional Collaboration Partner with Implementation Managers and Ops Leads to execute deployment plans Support communication between store teams and internal stakeholders during launch, including across multiple deployment locations as needed. Adapt to evolving deployment strategies and support continuous improvement efforts About You Minimum Qualifications You are hands-on, detail-oriented, and thrive in fast-paced environments You are comfortable working independently while staying aligned with a broader team You enjoy working directly with store teams and customers to solve problems You take ownership of your work and contribute to successful, high-quality launches Experience in retail, field operations, or customer-facing roles Strong communication and problem-solving skills Ability to work independently in a fast-paced, in-store environment Comfortable with light technical troubleshooting and learning new tools Ability to travel in-market (within 2.5 hours) regularly Flexibility to travel out-of market (within U.S.) up to 40% of the time Preferred Qualifications Experience supporting retail technology or in-store deployments Familiarity with training or onboarding store teams Prior experience in contractor or field-based roles Hourly Rate - $40-$46/hour", "summaryDescription" : "On-the-Ground-Specialist (Contractor) - Caper Deployments at Instacart. Skills: Deployment execution, In-store support, Training reinforcement. Support end-to-end testing of Caper Carts. Assist with cart setup, staging, and validation", "postedDate" : "2026-06-15T23:20:55.241", "createdAt" : "2026-06-15T23:20:55.241", "lastUpdated" : "2026-06-16T07:27:40.427", "ingestTimestamp" : "2026-06-15T23:20:55.241", "mongoId" : "6a3056e0f292fd229cf30225", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Deployment execution", "In-store support", "Training reinforcement", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Caper Cart deployments", "Grocery industry" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 680.1867, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056e0f292fd229cf30223", "title" : "On-the-Ground-Specialist (Contractor) - Caper Deployments", "company" : "Instacart", "industry" : "Retail", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T07:47:13.693", "fingerprint" : "ac7288230abddf70a2f813d5c75e42d46c7baffdbab696f8f49eba8a560f950a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8008094", "externalId" : "8008094", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "majorSkills" : "Deployment execution, In-store support, Training reinforcement", "majorSkillsList" : [ "Deployment execution", "In-store support", "Training reinforcement" ], "coreResponsibilities" : "Support end-to-end testing of Caper Carts, Assist with cart setup, staging, and validation, Execute key in-store tasks, Provide on-site support during launch, Troubleshoot issues in real time, Assist customers with Caper Cart usage, Assist store teams with Caper Cart usage, Reinforce best practices, Reinforce training with store associates, Ensure store teams are confident in core workflows, Assist with train-the-trainer execution, Maintain cart readiness, Identify and escalate issues, Provide feedback on store performance, Provide feedback on opportunities for improvement, Partner with Implementation Managers, Partner with Ops Leads, Support communication between store teams, Support communication between internal stakeholders, Adapt to evolving deployment strategies, Support continuous improvement efforts", "teamCollaboration" : "Cross-functional collaboration; Store teams; Internal stakeholders; Implementation team; Operations teams", "domainKnowledge" : "Caper Cart deployments; Retail operations", "domainList" : [ "caper-cart-deployments", "retail-operations" ], "domainSpecificKnowledge" : [ "Caper Cart deployments", "Retail operations" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel in-market (within 2.5 hours) regularly, Travel out-of-market (within U.S.) up to 40% of the time", "outcomesObjectives" : "Ensure carts are fully functional; Ensure launches are set up for success; Drive early adoption; Ensure smooth customer experience", "qualificationsBasic" : "Hands-on, Detail-oriented, Comfortable working independently, Enjoy working directly with store teams and customers, Take ownership of work, Experience in retail, field operations, or customer-facing roles, Communication skills, Problem-solving skills, Ability to work independently in a fast-paced, in-store environment, Comfortable with light technical troubleshooting, Learning new tools, Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of-market (within U.S.) up to 40% of the time", "qualificationsPreferred" : "Experience supporting retail technology, Experience supporting in-store deployments, Familiarity with training store teams, Familiarity with onboarding store teams, Prior experience in contractor roles, Prior experience in field-based roles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is seeking a reliable and execution-focused On-the-Ground Specialist to support Caper Cart deployments across retail partners. This role is critical in enabling scalable, high-quality launches by providing in-store support for testing, training reinforcement, and launch execution. The On-the-Ground Specialist Specialist works closely with Implementation and Operations teams to ensure carts are fully functional, store teams are supported, and launches are set up for success. This role is designed to provide local, in-market support for deployment execution, complementing the Implementation team’s focus on site visits and training. About the Job In-Store Execution Support Support end-to-end testing of Caper Carts to ensure full functionality ahead of launch Assist with cart setup, staging, and validation to ensure readiness for customer use Execute key in-store tasks aligned to deployment timelines and checklists Launch & Post-Launch Support Provide on-site support during launch to troubleshoot issues in real time Assist customers and store teams with Caper Cart usage as needed Reinforce best practices to drive early adoption and smooth customer experience Training Reinforcement Support Implementation team by reinforcing training with store associates Help ensure store teams are confident in core workflows (checkout flow, cart usage, troubleshooting basics) Assist with “train-the-trainer” execution where applicable Operational Excellence Maintain cart readiness, including charging, cleanliness, and proper placement Identify and escalate issues related to hardware, software, or store operations Provide feedback to Implementation and Operations teams on store performance and opportunities for improvement Cross-Functional Collaboration Partner with Implementation Managers and Ops Leads to execute deployment plans Support communication between store teams and internal stakeholders during launch, including across multiple deployment locations as needed. Adapt to evolving deployment strategies and support continuous improvement efforts About You Minimum Qualifications You are hands-on, detail-oriented, and thrive in fast-paced environments You are comfortable working independently while staying aligned with a broader team You enjoy working directly with store teams and customers to solve problems You take ownership of your work and contribute to successful, high-quality launches Experience in retail, field operations, or customer-facing roles Strong communication and problem-solving skills Ability to work independently in a fast-paced, in-store environment Comfortable with light technical troubleshooting and learning new tools Ability to travel in-market (within 2.5 hours) regularly Flexibility to travel out-of market (within U.S.) up to 40% of the time Preferred Qualifications Experience supporting retail technology or in-store deployments Familiarity with training or onboarding store teams Prior experience in contractor or field-based roles Hourly Rate - $40-$46/hour", "summaryDescription" : "On-the-Ground-Specialist (Contractor) - Caper Deployments at Instacart. Skills: Deployment execution, In-store support, Training reinforcement. Support end-to-end testing of Caper Carts. Assist with cart setup, staging, and validation", "postedDate" : "2026-06-15T23:20:47.695", "createdAt" : "2026-06-15T23:20:47.695", "lastUpdated" : "2026-06-16T07:47:13.693", "ingestTimestamp" : "2026-06-15T23:20:47.695", "mongoId" : "6a3056e0f292fd229cf30223", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Deployment execution", "In-store support", "Training reinforcement", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Caper Cart deployments", "Retail operations" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 680.18317, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056e0f292fd229cf30224", "title" : "On-the-Ground-Specialist (Contractor) - Caper Deployments", "company" : "Instacart", "industry" : "Retail", "salary" : { "min" : 40.0, "max" : 46.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T08:48:13.675", "fingerprint" : "9bc48e8e9c2b8df414ab8af8096d61cabbdb654057164d68b3de0109a634938c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8008097", "externalId" : "8008097", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "CONTRACT", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Testing", "Training reinforcement", "Launch execution", "Troubleshooting", "Hardware troubleshooting", "Software troubleshooting", "Store operations troubleshooting" ], "hardSkills" : [ { "name" : "Testing", "level" : "intermediate" }, { "name" : "Training reinforcement", "level" : "intermediate" }, { "name" : "Launch execution", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Hardware troubleshooting", "level" : "intermediate" }, { "name" : "Software troubleshooting", "level" : "intermediate" }, { "name" : "Store operations troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Deployment execution, In-store support, Training reinforcement", "majorSkillsList" : [ "Deployment execution", "In-store support", "Training reinforcement" ], "coreResponsibilities" : "Support end-to-end testing of Caper Carts, Assist with cart setup, staging, and validation, Execute key in-store tasks, Provide on-site support during launch, Troubleshoot issues in real time, Assist customers and store teams with Caper Cart, Reinforce best practices, Support Implementation team by reinforcing training, Ensure store teams are confident in core workflows, Assist with train-the-trainer execution, Maintain cart readiness, Identify and escalate issues, Provide feedback on store performance, Partner with Implementation Managers and Ops Leads, Support communication between store teams and internal stakeholders, Adapt to evolving deployment strategies, Support continuous improvement efforts", "teamCollaboration" : "Implementation and Operations teams; Store teams; Internal stakeholders", "domainKnowledge" : "Caper Cart deployments; Grocery industry", "domainList" : [ "caper-cart-deployments", "grocery-industry" ], "domainSpecificKnowledge" : [ "Caper Cart deployments", "Grocery industry" ], "problemSolvingSkills" : "Troubleshoot issues; Solve problems", "specialRequirements" : "Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of market (within U.S.) up to 40% of the time", "outcomesObjectives" : "Ensure carts are fully functional; Ensure launches are set up for success; Drive early adoption; Ensure smooth customer experience", "qualificationsBasic" : "Hands-on, Detail-oriented, Comfortable working independently, Enjoy working directly with store teams and customers, Take ownership of work, Experience in retail, field operations, or customer-facing roles, Communication skills, Problem-solving skills, Ability to work independently in a fast-paced, in-store environment, Comfortable with light technical troubleshooting, Learning new tools, Ability to travel in-market (within 2.5 hours) regularly, Flexibility to travel out-of market (within U.S.) up to 40% of the time", "qualificationsPreferred" : "Experience supporting retail technology or in-store deployments, Familiarity with training or onboarding store teams, Prior experience in contractor or field-based roles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is seeking a reliable and execution-focused On-the-Ground Specialist to support Caper Cart deployments across retail partners. This role is critical in enabling scalable, high-quality launches by providing in-store support for testing, training reinforcement, and launch execution. The On-the-Ground Specialist Specialist works closely with Implementation and Operations teams to ensure carts are fully functional, store teams are supported, and launches are set up for success. This role is designed to provide local, in-market support for deployment execution, complementing the Implementation team’s focus on site visits and training. About the Job In-Store Execution Support Support end-to-end testing of Caper Carts to ensure full functionality ahead of launch Assist with cart setup, staging, and validation to ensure readiness for customer use Execute key in-store tasks aligned to deployment timelines and checklists Launch & Post-Launch Support Provide on-site support during launch to troubleshoot issues in real time Assist customers and store teams with Caper Cart usage as needed Reinforce best practices to drive early adoption and smooth customer experience Training Reinforcement Support Implementation team by reinforcing training with store associates Help ensure store teams are confident in core workflows (checkout flow, cart usage, troubleshooting basics) Assist with “train-the-trainer” execution where applicable Operational Excellence Maintain cart readiness, including charging, cleanliness, and proper placement Identify and escalate issues related to hardware, software, or store operations Provide feedback to Implementation and Operations teams on store performance and opportunities for improvement Cross-Functional Collaboration Partner with Implementation Managers and Ops Leads to execute deployment plans Support communication between store teams and internal stakeholders during launch, including across multiple deployment locations as needed. Adapt to evolving deployment strategies and support continuous improvement efforts About You Minimum Qualifications You are hands-on, detail-oriented, and thrive in fast-paced environments You are comfortable working independently while staying aligned with a broader team You enjoy working directly with store teams and customers to solve problems You take ownership of your work and contribute to successful, high-quality launches Experience in retail, field operations, or customer-facing roles Strong communication and problem-solving skills Ability to work independently in a fast-paced, in-store environment Comfortable with light technical troubleshooting and learning new tools Ability to travel in-market (within 2.5 hours) regularly Flexibility to travel out-of market (within U.S.) up to 40% of the time Preferred Qualifications Experience supporting retail technology or in-store deployments Familiarity with training or onboarding store teams Prior experience in contractor or field-based roles Hourly Rate - $40-$46/hour", "summaryDescription" : "On-the-Ground-Specialist (Contractor) - Caper Deployments at Instacart. Skills: Deployment execution, In-store support, Training reinforcement. Support end-to-end testing of Caper Carts. Assist with cart setup, staging, and validation", "postedDate" : "2026-06-15T23:19:55.515", "createdAt" : "2026-06-15T23:19:55.515", "lastUpdated" : "2026-06-16T08:48:13.675", "ingestTimestamp" : "2026-06-15T23:19:55.515", "mongoId" : "6a3056e0f292fd229cf30224", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 95680, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Testing", "Training reinforcement", "Launch execution", "Troubleshooting", "Hardware troubleshooting", "Software troubleshooting", "Store operations troubleshooting", "Deployment execution", "In-store support", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Caper Cart deployments", "Grocery industry" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 680.15875, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d8374d8ee00a0979318", "title" : "Manager, Engineering, Secure Build", "company" : "Docker", "industry" : "Engineering", "salary" : { "min" : 244550.0, "max" : 392150.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Canada", "locations" : [ "Canada", "United States" ], "timestamp" : "2026-06-15T09:06:07.262", "fingerprint" : "95dd1e226858c9321905110684e1b43f4f765cffd0ccdf63b8903dffebe8d61e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/docker/a6eb0b73-d10e-4d2c-8f94-173f5584bef8/application", "externalId" : "a6eb0b73-d10e-4d2c-8f94-173f5584bef8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Go, Docker, Kubernetes", "professionalSkills" : [ "Delivery ownership", "Operational excellence", "Technical direction", "Team growth", "Performance management", "Cross-functional alignment" ], "hardSkillsList" : [ "Build systems operation", "Secure build infrastructure", "Micro-VM sandbox execution" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Build systems operation", "level" : "intermediate" }, { "name" : "Secure build infrastructure", "level" : "intermediate" }, { "name" : "Micro-VM sandbox execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Secure build, CI/CD, Cloud infrastructure", "majorSkillsList" : [ "Secure build", "CI/CD", "Cloud infrastructure" ], "coreResponsibilities" : "Lead senior engineers, Operate build systems, Build secure build infrastructure, Own delivery, Turn roadmap into plan, Execute predictably, Get team process right, Partner with Product, Turn strategy into roadmap, Stay deep in technical work, Be active in design, Be hands-on in code, Set team technical direction, Give team room to own, Be accountable for reliability, Ensure operational excellence, Own engineer growth, Own engineer development, Own engineer performance, Hire to strengthen team, Work across wider org, Align the team, Shield team from churn, Hold registry mechanics", "teamCollaboration" : "Partnering with Product; Work across wider org; Cross-functional alignment", "projectManagementSkills" : [ "Roadmap planning", "Delivery planning" ], "domainKnowledge" : "Container builds; Secure CI; Build runner; Micro-VM sandbox; Supply chain security; Build pipeline security; Regulated environments; Air-gapped environments", "domainList" : [ "container-builds", "secure-ci", "build-runner", "micro-vm-sandbox", "supply-chain-security", "build-pipeline-security", "regulated-environments", "air-gapped-environments" ], "domainSpecificKnowledge" : [ "Container builds", "Secure CI", "Build runner", "Micro-VM sandbox", "Supply chain security", "Build pipeline security", "Regulated environments", "Air-gapped environments" ], "toolProficiency" : [ "Docker Build Cloud", "Docker Hub" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Training stipend; Conferences; Courses; Classes", "problemSolvingSkills" : "Unblocking", "specialRequirements" : "On-call rotation", "outcomesObjectives" : "Deliver against roadmap; Operate production systems reliably; Grow engineers in capability; Grow engineers in number", "qualificationsBasic" : "Experience operating production infrastructure, On-call, Incident response, SLOs, High-traffic services healthy, Leading distributed remote-first team, Written and verbal communication, Habit of staying close to customers, Hands-on familiarity with Go", "qualificationsPreferred" : "Deep understanding of supply-chain security", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns and runs Docker Build Cloud and Docker's Hub build systems, which run millions of builds a year for hundreds of organisations, and is building the next generation of that: secure, sandboxed CI that isolates each build step and produces hardened images with strong, verifiable provenance, including for customers in regulated and air-gapped environments. A current focus is a hardened build runner that executes each workflow step inside its own micro-VM sandbox. We're looking for an Engineering Manager to lead this team. It's a small, very senior group that recently came together, with strong technical leadership spread across it. You'll own the team's delivery, growth, and operational excellence, keep its high-scale production systems healthy, and be a real part of setting the team's technical direction alongside the engineers who lead on different parts of the system. THE KIND OF PERSON WE'RE LOOKING FOR The successful candidate leads first. They're an experienced engineering manager at their best turning a senior team into a high-performing, value-delivering part of the wider Docker org: getting the process and team mechanics right, partnering well with Product, and navigating the personalities on and around the team. What sets them apart is that they stay deep in the technical work rather than steering from a distance. They're active in technical design and in the PRs, they help shape the technical direction, and they're happy to pick up code where it moves things forward. We're not after a 50-50 player-coach, and we're not after someone who's left the engineering behind either; the balance tilts to leading, but they're hands-on enough to be properly in the detail with the team. The team has strong technical leadership across it, and direction is set together rather than by any one person, so this isn't about being the best engineer in the room or the deepest supply-chain-security expert. It's about being engaged and credible enough to be a real part of how the team sets its direction, not standing apart from it. They care about security broadly: how modern attacks actually work, the OWASP Top 10, and where a build pipeline is exposed. They lead through judgement, unblocking, and direction-setting rather than process for its own sake, because that's what a senior, autonomy-heavy team responds to. They're comfortable owning the operational reality of production systems and on-call, and they're energised rather than thrown by ambiguity. Above all they care about growing the engineers around them and shipping something customers actually trust. RESPONSIBILITIES: - Lead a team of senior engineers operating Docker Build Cloud and Hub's build systems and building Docker's next generation of secure build infrastructure. - Own delivery: turn an ambiguous, high-stakes roadmap, including time-bound commitments to regulated and federal customers, into a concrete plan the team can execute predictably. - Get the team's process and mechanics right, and partner closely with Product to turn strategy into a roadmap the team believes in. - Stay deep in the technical work: active in design discussions and code review, hands-on in the code where it helps, rather than steering from a distance. - Be a real part of setting the team's technical direction, working with the engineers who lead on different parts of the system, while giving the whole team room to own technical decisions. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. - Be accountable for the reliability and operational excellence of the team's production services, including a healthy, humane on-call rotation. - Own the growth, development, and performance of each engineer on the team, and hire to strengthen it. - Work across the wider org - Product, sales, commercial and legal, the Hub/registry team, and security - to align the team and shield it from churn. - Hold a high bar for engineering excellence and raise the team's security hygiene. QUALIFICATIONS - 5+ years managing high-performing engineering teams, including engineers at or above their own level of technical seniority, with a track record of growing and retaining senior individual contributors. - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - A leader first: strong on team process and mechanics, on partnering with Product, and on reading and navigating the personalities on and around a team to make it more than the sum of its parts. - Comfortable inheriting a team they didn't build: earning the trust of experienced engineers, and owning the full range of performance conversations, including the difficult ones, fairly and directly. - Technically deep and still hands-on: recent enough engineering chops to be active in design and code review, be a real part of setting technical direction with the team, and write code where it helps. Not the best engineer in the room or the deepest domain expert, but not a manager who's left the technical detail behind either. - A strong interest in security: how recent attacks have actually worked, the OWASP Top 10, and the build threat model. Familiarity with software supply chain security (SLSA, in-toto, provenance, signing such as cosign, SBOMs, vulnerability scanning) is valued, but we care more about security instinct and appetite than a checklist of tools. - Understanding of CI/CD and build-system internals, container images and image hardening, and OCI registry mechanics. - Experience operating production infrastructure: on-call, incident response, SLOs, and the realities of keeping high-traffic services healthy. - Comfortable leading a distributed, remote-first team across European and US time zones, with a high degree of autonomy. - Strong written and verbal communication, and a habit of staying close to customers. - Hands-on familiarity with Go is a plus; it's the team's primary language. WHAT TO EXPECT FIRST 30 DAYS Get to know the team, the systems, and the commitments before changing anything. Build relationships with each engineer, understand the roadmap and what the team is building, and get hands-on enough with Build Cloud and the inherited systems to understand the on-call load you're taking on. FIRST 90 DAYS. Own the delivery plan with the team and Product. Get the on-call rotation to a healthy, sustainable place. Be the team's point of contact across the wider org. ONE YEAR OUTLOOK The team is delivering against its roadmap and operating its production systems reliably, the on-call and delivery cadence are sustainable, and the team is growing both in capability and in number. Docker considers visa sponsorship on a case-by-case basis based on business needs. Perks - Freedom & flexibility; fit your work around your life - Designated quarterly Whaleness Days plus end of year Whaleness break - Home office setup; we want you comfortable while you work - 16 weeks of paid Parental leave (after 6 months of employment) - Technology stipend equivalent to $100 USD net/month - PTO plan that encourages you to take time to do the things you enjoy - Training stipend for conferences, courses and classes - Equity; we are a growing start-up and want all employees to have a share in the success of the company - Docker Swag - Medical benefits, retirement and holidays vary by country - Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE", "summaryDescription" : "Manager, Engineering, Secure Build at Docker. Skills: Secure build, CI/CD, Cloud infrastructure. Lead senior engineers. Operate build systems", "createdAt" : "2026-06-14T04:01:38.077", "lastUpdated" : "2026-06-15T09:06:07.262", "ingestTimestamp" : "2026-06-14T04:01:38.077", "mongoId" : "6a2c8d8374d8ee00a0979318", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Build systems operation", "Secure build infrastructure", "Micro-VM sandbox execution", "Leadership", "Mentoring", "Secure build", "CI/CD", "Cloud infrastructure", "Delivery ownership", "Operational excellence", "Technical direction", "Team growth", "Performance management", "Cross-functional alignment", "Roadmap planning", "Delivery planning", "Container builds", "Secure CI", "Build runner", "Micro-VM sandbox", "Supply chain security", "Build pipeline security", "Regulated environments", "Air-gapped environments", "Docker Build Cloud", "Docker Hub" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 673.44055, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26122beec4dd3d90b46a", "title" : "Ground Paramedic - Aeromed Ground Transport", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Ground Paramedic in Tampa, FL, adjusted for the healthcare industry and full-time employment." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "Neonatal Resuscitation Program", "Emergency Vehicle Operator Course" ], "timestamp" : "2026-06-15T12:19:36.792", "fingerprint" : "4e7334c421ea5aaca1d71f140f7372071101ac8b482815e2f7dc485a5ecd16e7", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=670051", "externalId" : "670051", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "High School", "experienceMinYears" : 2, "technicalSkills" : "Radio systems, Phone systems, Computer systems, EBG transmissions, Wire networks, Wireless networks, Cellular devices", "professionalSkills" : [ "Patient assessment", "Care coordination", "Medication administration", "Lab result interpretation", "Airway management", "IV access", "IO access", "Cardioversion", "Defibrillation", "External pacing", "Blood transfusions" ], "hardSkillsList" : [ "Intubation", "Surgical procedures", "Thoracostomies" ], "hardSkills" : [ { "name" : "Intubation", "level" : "intermediate" }, { "name" : "Surgical procedures", "level" : "intermediate" }, { "name" : "Thoracostomies", "level" : "intermediate" } ], "majorSkills" : "Patient care, Emergency vehicle operation", "majorSkillsList" : [ "Patient care", "Emergency vehicle operation" ], "coreResponsibilities" : "Provide patient assessment, Coordinate patient care, Administer medications, Interpret lab results, Manage airways, Perform thoracostomies, Establish IV access, Establish IO access, Perform cardioversion, Perform defibrillation, Perform external pacing, Perform blood transfusions, Coordinate patient care using radio, Coordinate patient care using phone, Coordinate patient care using computer, Document assessments, Ensure patient rights, Operate emergency vehicles", "domainKnowledge" : "Florida laws and regulations", "domainList" : [ "florida-laws-and-regulations" ], "domainSpecificKnowledge" : [ "Florida laws and regulations" ], "toolProficiency" : [ "Prehospital assessment equipment", "Prehospital care equipment", "Two-way radios" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document assessments", "problemSolvingSkills" : "Troubleshooting equipment", "qualificationsBasic" : "High School Diploma or GED, State of Florida Paramedic Certification, 2 years paramedic experience, BCLS, ACLS, PALS, Emergency Vehicle Operator Course", "qualificationsPreferred" : "National Registered paramedic", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Ground Paramedic provides patient assessment and care coordination based on patient age and developmental level, adhering to departmental protocols and standards. This role involves independently caring for patients during transport, performing tasks within the certified paramedic scope, with additional training for advanced care. Responsibilities include administering medications, interpreting lab results, managing airways (including intubation and surgical procedures), performing thoracostomies, establishing IV and IO access, and handling cardioversion, defibrillation, external pacing, and blood transfusions as needed. Care is delivered according to medical protocols established by the medical director, in compliance with state and federal laws. The Ground Paramedic must effectively use radio, phone, computer, and other systems to coordinate patient care, document assessments, and ensure patient rights. Additionally, the role includes safely operating emergency vehicles in accordance with all relevant laws. All duties align with the mission, vision, and values of Tampa General Hospital. High School Diploma or GED State of Florida Paramedic Certification A minimum of 2 years paramedic experience is required for hire. BCLS, ACLS, PALS. Neonatal Resuscitation Program (NPR) within six (6) months of hire or transfer National Registered paramedic preferred. Emergency Vehicle Operator Course (EVOC) required, or equivalent required within 3 months of hire. Effective and tactful communication skills, both written and verbal. Ability to comprehend and accurately implement written and verbal orders. Knowledge of Florida laws and regulations for reasoning to both emergency and non-emergency calls. Ability to perform well under stressful conditions. Proficiency in operating, maintain, and troubleshooting prehospital assessment and care equipment. Competence in electronic patient care reporting, EBG transmissions, and using wire/wireless networks, two-way radios, and cellular devices. Skilled in operating vehicles in compliance with state laws and industry standards. Tampa", "summaryDescription" : "Ground Paramedic - Aeromed Ground Transport at Tampa General Hospital. Skills: Patient care, Emergency vehicle operation. Provide patient assessment. Coordinate patient care", "createdAt" : "2026-06-14T06:45:32.868", "lastUpdated" : "2026-06-15T12:19:36.792", "ingestTimestamp" : "2026-06-14T06:45:32.868", "mongoId" : "69cf26122beec4dd3d90b46a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Intubation", "Surgical procedures", "Thoracostomies", "Patient care", "Emergency vehicle operation", "Patient assessment", "Care coordination", "Medication administration", "Lab result interpretation", "Airway management", "IV access", "IO access", "Cardioversion", "Defibrillation", "External pacing", "Blood transfusions", "Florida laws and regulations", "Neonatal Resuscitation Program", "Emergency Vehicle Operator Course", "Prehospital assessment equipment", "Prehospital care equipment", "Two-way radios" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 659.0307, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf26132beec4dd3d90b54a", "title" : "Ground Transport Nurse - Aeromed Ground Ambulance", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Ground Transport Nurse in Tampa, FL, adjusted for the healthcare industry and full-time employment." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "RN license", "Florida Paramedic license", "CTRN", "CFRN", "BLS", "ACLS", "PALS", "NRP", "TNCC", "TPATC", "ATLS" ], "timestamp" : "2026-06-15T13:15:59.612", "fingerprint" : "9ebd2410a113403fa1d70949adfed99ca863027d024425bb57f11651fc49200c", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675308", "externalId" : "675308", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "professionalSkills" : [ "Critical care nursing", "Emergency medical protocols", "Advanced life support", "Trauma care principles", "Advanced clinical procedures", "Assessment skills", "Diagnostic skills" ], "hardSkillsList" : [ "Critical care nursing", "Emergency medical protocols", "Advanced life support", "Trauma care principles", "Advanced clinical procedures", "Assessment skills", "Diagnostic skills" ], "softSkillsList" : [ "Interpersonal skills", "Decision making", "Physical stamina", "Team collaboration" ], "hardSkills" : [ { "name" : "Critical care nursing", "level" : "intermediate" }, { "name" : "Emergency medical protocols", "level" : "intermediate" }, { "name" : "Advanced life support", "level" : "intermediate" }, { "name" : "Trauma care principles", "level" : "intermediate" }, { "name" : "Advanced clinical procedures", "level" : "intermediate" }, { "name" : "Assessment skills", "level" : "intermediate" }, { "name" : "Diagnostic skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Decision making" }, { "name" : "Physical stamina" }, { "name" : "Team collaboration" } ], "majorSkills" : "Ground transport, Critical care, Emergency department, Patient care", "majorSkillsList" : [ "Ground transport", "Critical care", "Emergency department", "Patient care" ], "coreResponsibilities" : "Provide comprehensive care, Collaborate with team, Deliver high-quality care", "teamCollaboration" : "Multi-disciplinary team; Physicians; Paramedics; Healthcare providers", "domainKnowledge" : "Critical care nursing; Emergency medical protocols; Advanced life support; Trauma care principles", "domainList" : [ "critical-care-nursing", "emergency-medical-protocols", "advanced-life-support", "trauma-care-principles" ], "domainSpecificKnowledge" : [ "Critical care nursing", "Emergency medical protocols", "Advanced life support", "Trauma care principles" ], "communicationSkills" : "Communication skills; Interpersonal skills", "problemSolvingSkills" : "Make quick decisions; Accurate decisions", "specialRequirements" : "Physical stamina", "qualificationsBasic" : "ASN required, RN license, Florida Paramedic license, 2 years experience, BLS, ACLS, PALS, NRP, Advanced Trauma Certification", "qualificationsPreferred" : "CTRN within 1st year, CFRN within 1st year", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Ground Transport Nurse provides comprehensive care to critically ill or injured patients during ground medical transport. The Ground Transport Nurse collaborates with a multi-disciplinary team, including physicians, paramedics, and other healthcare providers, to deliver high-quality medical care during interfacility transfers. Graduate of an accredited School of Nursing, ASN required RN license to practice as a Registered Nurse in the State of Florida Florida Paramedic license Two (2) years of current Critical Care and/or Emergency Department experience Certified Transport Registered Nurse (CTRN) within 1st year of hire Certified Flight Registered Nurse (CFRN) within 1st year of hire Basic Life Support (BLS) Advanced Life Support (ACLS) Pediatric Life Support (PALS) Neonatal Resuscitation Program (NRP) within first six (6) months of hire or transfer Advanced Trauma Certification (TNCC, TPATC, ATLS) within first six (6) months of hire or transfer In-depth knowledge of critical care nursing and emergency medical protocols Knowledge of advanced life support and trauma care principles Proficiency in performing advanced clinical procedures Strong assessment and diagnostic skills Excellent communication and interpersonal skills Ability to make quick, accurate decisions in high-stress situations Physical stamina to perform duties in challenging environments Capacity to work collaboratively within a multidisciplinary team. Tampa", "summaryDescription" : "Ground Transport Nurse - Aeromed Ground Ambulance. Skills: Ground transport, Critical care, Emergency department, Patient care. Provide comprehensive care. 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"hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a65fd74d8ee00a062b53d", "title" : "Sr. Manager, Software, Leo Ground Software", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 220000.0, "max" : 297700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-14T23:50:35.803", "fingerprint" : "d8ce7880c9bf0f365bd10df4e69b77460e00c95f18ff26f8e514e2365faa5a0c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436342/apply", "externalId" : "d8dbe338-242b-4cda-b194-ffe6328ffbcb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Software Development, Analytics, Distributed systems, Machine learning, AI", "professionalSkills" : [ "Technical vision", "Roadmap development", "People leadership", "System design", "Architectural decisions", "Operational excellence", "Ground operations automation", "Ground systems integration", "Algorithm development", "Software interface definition", "Systems analysis" ], "hardSkillsList" : [ "Robotics", "RF technology", "Satellite technology", "Anomaly detection", "Predictive maintenance", "Automated remediation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Robotics", "level" : "intermediate" }, { "name" : "RF technology", "level" : "intermediate" }, { "name" : "Satellite technology", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Predictive maintenance", "level" : "intermediate" }, { "name" : "Automated remediation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Ground Software, Analytics, Distributed Systems, Machine Learning", "majorSkillsList" : [ "Ground Software", "Analytics", "Distributed Systems", "Machine Learning" ], "coreResponsibilities" : "Lead and develop a team of SDEs, Recruit top engineering talent, Foster a culture of technical excellence, Provide clear direction, Invest in career growth, Own technical vision and roadmap, Drive architectural decisions, Partner with engineers to define ML tools, Evaluate ML tools, Productionize ML tools, Own full software development lifecycle, Represent Ground Software and Analytics, Partner with Leo leadership, Resolve dependencies, Align on technical direction, Drive operational excellence, Establish availability and reliability goals, Lead post-incident reviews, Champion continuous improvement, Define team goals and success metrics, Translate organizational strategy into plans, Review system design documents, Align on roadmap priorities, Evaluate anomaly detection models, Lead hiring loops, Provide feedback on architectural tradeoffs, Ensure team clarity and resources, Define software interfaces, Drive ground systems integration, Lead incident response, Coordinate across teams, Drive root cause analysis, Ensure learnings translate into improvements, Develop Ground Software and Analytics systems, Design Monitoring and Remediation System, Develop Monitoring and Remediation System, Deploy Monitoring and Remediation System, Support Monitoring and Remediation System, Automate ground operations, Automate ground systems integration/test, Automate ground terminal configuration, Automate ground terminal provisioning, Automate ground terminal acceptance, Develop algorithms, Define software interfaces for hardware, Develop software test automation, Define Ground SW vision, Integrate AI", "teamCollaboration" : "Cross-organizational forums; Leo leadership; RF and systems engineers; Hardware suppliers; Ground modem software teams; SEIT engineers", "projectManagementSkills" : [ "Roadmap", "Quarterly plans", "Annual plans" ], "domainKnowledge" : "Low Earth Orbit satellites; Broadband connectivity; Ground terminals; Constellation management; Robotics; Distributed systems; RF/satellite technology; Ground systems engineering; Satellite ground terminals; Gateway systems; Telemetry Tracking Command; Full-motion parabolic antennas; RF spectrum monitoring; Terminal monitoring and control; Fault management systems; Communications backbone; Constellation performance", "domainList" : [ "low-earth-orbit-satellites", "broadband-connectivity", "ground-terminals", "constellation-management", "robotics", "distributed-systems", "rf-satellite-technology", "ground-systems-engineering", "satellite-ground-terminals", "gateway-systems", "telemetry-tracking-command", "full-motion-parabolic-antennas", "rf-spectrum-monitoring", "terminal-monitoring-and-control", "fault-management-systems", "communications-backbone", "constellation-performance" ], "domainSpecificKnowledge" : [ "Low Earth Orbit satellites", "Broadband connectivity", "Ground terminals", "Constellation management", "Robotics", "Distributed systems", "RF/satellite technology", "Ground systems engineering", "Satellite ground terminals", "Gateway systems", "Telemetry Tracking Command", "Full-motion parabolic antennas", "RF spectrum monitoring", "Terminal monitoring and control", "Fault management systems", "Communications backbone", "Constellation performance" ], "communicationSkills" : "Technical strategy; Technical tradeoffs", "documentationSkills" : "System design documents", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "Export Control Requirement", "outcomesObjectives" : "Maintain high availability of ground terminals; Provide world-class reliability; Provide world-class scalability; Provide world-class performance", "qualificationsBasic" : "Bachelor's degree in computer science or electrical engineering, 10+ years software engineering experience, 3+ years engineering people management experience, Experience owning and delivering software end-to-end, U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as refugee, Lawfully granted asylum", "qualificationsPreferred" : "Master's degree or PhD, Experience building or operating software systems in satellite, RF, or aerospace domains, Experience bringing ML-powered products from research into production, Experience leading teams with strict availability and reliability requirements, Experience defining software interfaces for third-party hardware, Familiarity with ground systems architecture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and under-served communities around the world. We are looking for an experienced Sr. Software Development Manager to lead the Ground Software and Analytics team and help us build this service from the ground up. As an Sr. SDM, you will own the technical vision, roadmap, and people leadership for a team of Software Development Engineers embedded within Ground Systems Engineering. You will drive the design, development, and long-term evolution of mission-critical systems that directly impact the availability and performance of Leo ground terminals deployed around the world. You will scale the team as ground complexity evolves. This is a high-visibility role at the intersection of robotics, distributed systems, and RF/satellite technology -- requiring both technical depth and strong organizational leadership. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities * Lead and develop a team of SDEs: Recruit top engineering talent, foster a culture of technical excellence and ownership, provide clear direction, and invest in the career growth of every engineer on the team. * Own the technical vision and multi-year roadmap for the Monitoring and Remediation System (MARS) and the broader Ground Software and Analytics charter, balancing near-term operational needs with long-term architectural investment. * Drive architectural decisions for distributed systems supporting hundreds of ground terminals deployed globally, ensuring world-class reliability, scalability, and performance across the Leo constellation. * Partner with engineers on the team to define, evaluate, and productionize machine-learned anomaly detection tools, predictive maintenance workflows, and automated remediation applications. * Own the full software development lifecycle for the team -- including design, code review, testing, deployment, mission integration, and operational support -- holding a high technical bar at every stage. * Represent Ground Software and Analytics in cross-organizational forums, partnering with Leo leadership, RF and systems engineers, hardware suppliers, and ground modem software teams to influence prioritization, resolve dependencies, and align on technical direction. * Drive operational excellence -- establish and own team-level availability and reliability goals, lead post-incident reviews, and champion continuous improvement across all Ground Software and Analytics systems. * Define team goals and success metrics, translating organizational strategy into clear quarterly and annual plans that your team can execute against with confidence. A day in the life In this role as a Sr. Software Development Manager, you will balance technical leadership with people management to deliver systems that are critical to the uptime and performance of Leo ground terminals worldwide. A typical day may include reviewing system design documents with your engineers, aligning on roadmap priorities with Leo Ground Systems leadership, or partnering with engineers on the team to evaluate a new anomaly detection model heading toward production. You will lead hiring loops, provide feedback on architectural tradeoffs, and ensure your team has the clarity and resources to execute without unnecessary friction. You will work closely with SEIT engineers and hardware suppliers to define software interfaces and drive ground systems integration. When incidents arise, you will lead the response — coordinating across teams, driving root cause analysis, and ensuring the learnings translate into durable operational improvements. Your contributions, and those of the engineers you lead, will have a direct and meaningful impact on customers around the world who depend on Leo for connectivity. This Role Will Lead the Ground Software and Analytics Team, Which Is Responsible For: * Ground operations automation/orchestration * Design, development, deployment, and support of a Tier 1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world * Ground systems integration/test (I&T) automation * Ground terminal configuration, provisioning, and acceptance automation * Systems analysis * Algorithm development (pointing/tracking/calibration/monitoring) * Software interface definition for supplier-provided hardware and development of software test automation * Ground SW vision and AI integration About the team The Leo Ground Systems Engineering team is responsible for the development, deployment, and long-term performance optimization of Leo satellite ground terminals located around the world (Gateway and Telemetry, Tracking, and Command (TT&C)). Ground terminals include full-motion parabolic antennas, radio frequency spectrum monitoring, terminal monitoring and control, and fault management systems. These software-driven distributed systems form the communications backbone for the Leo constellation and must provide the world-class reliability, uptime, and performance our customers expect from Amazon. The Ground Software and Analytics team sits at the heart of this mission — owning the software systems, analytical tools, and automation that keep ground terminals operating at peak performance across the globe. Basic Qualifications: - Bachelor's degree in computer science, electrical engineering, or related field - 10+ years of professional software engineering experience, with demonstrated depth in designing and operating distributed systems - 3+ years of engineering people management experience, including hiring, developing, and performance managing SDEs - Experience owning and delivering software products or services end-to-end, from design through production operations - Experience communicating technical strategy and tradeoffs clearly to senior leadership and non-technical stakeholders Preferred Qualifications: - Master's degree or PhD in Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field - Experience building or operating software systems in satellite, RF, or aerospace domains - Experience partnering with engineers to bring ML-powered products from research into production - Experience leading teams that own Tier 1 or mission-critical services with strict availability and reliability requirements - Experience defining software interfaces for supplier-provided or third-party hardware systems - Familiarity with ground systems architecture, including monitoring and control, fault management, or telemetry systems 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, Redmond - 220,100.00 - 297,700.00 USD annually", "summaryDescription" : "Sr. Manager, Software, Leo Ground Software at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Ground Software, Analytics, Distributed Systems, Machine Learning. Lead and develop a team of SDEs. Recruit top engineering talent", "postedDate" : "2026-06-13T02:50:54.163", "createdAt" : "2026-06-13T02:50:54.163", "lastUpdated" : "2026-06-14T23:50:35.803", "ingestTimestamp" : "2026-06-13T02:50:54.163", "mongoId" : "6a2a65fd74d8ee00a062b53d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436342/apply", "salaryAnnualMin" : 220000, "salaryAnnualMax" : 297700, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Robotics", "RF technology", "Satellite technology", "Anomaly detection", "Predictive maintenance", "Automated remediation", "Leadership", "Ground Software", "Analytics", "Distributed Systems", "Machine Learning", "Technical vision", "Roadmap development", "People leadership", "System design", "Architectural decisions", "Operational excellence", "Ground operations automation", "Ground systems integration", "Algorithm development", "Software interface definition", "Systems analysis", "Roadmap", "Quarterly plans", "Annual plans", "Low Earth Orbit satellites", "Broadband connectivity", "Ground terminals", "Constellation management", "Distributed systems", "RF/satellite technology", "Ground systems engineering", "Satellite ground terminals", "Gateway systems", "Telemetry Tracking Command", "Full-motion parabolic antennas", "RF spectrum monitoring", "Terminal monitoring and control", "Fault management systems", "Communications backbone", "Constellation performance" ], "skillCount" : 41, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 616.69495, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca5e274d8ee00a09b8771", "title" : "Director of Analytics", "company" : "Collective Health", "industry" : "Healthcare", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T07:17:58.865", "fingerprint" : "e063e73d7bd833010aa94c5c5ae49671e34f6fd2268ea059b019998fbd3e9117", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.collectivehealth.com/apply/?gh_jid=7994891", "externalId" : "7994891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Dbt, Looker, Snowflake, Databricks, BigQuery, Airflow, LLMs, RAG architecture, Generative AI", "professionalSkills" : [ "Strategic leadership", "Client reporting", "Analytics strategy", "Roadmap development", "Data analysis", "AI-informed analytics", "Data management", "Claims processing", "Team leadership", "Stakeholder management", "Cross-functional partnership", "Strategic thinking", "Hands-on execution" ], "hardSkillsList" : [ "Healthcare data expertise", "Claims adjudication accuracy", "Payment integrity", "Data modelling", "Statistical analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Healthcare data expertise", "level" : "intermediate" }, { "name" : "Claims adjudication accuracy", "level" : "intermediate" }, { "name" : "Payment integrity", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics strategy, Client reporting, AI-informed analytics, Data management", "majorSkillsList" : [ "Analytics strategy", "Client reporting", "AI-informed analytics", "Data management" ], "coreResponsibilities" : "Own analytics strategy and roadmap, Build reporting infrastructure, Deliver automated reporting infrastructure, Align analytics initiatives with business priorities, Serve as analytics representative in client conversations, Oversee analysis of claims data, Oversee analysis of member data, Oversee analysis of benefits data, Surface trends and inefficiencies, Surface opportunities for cost savings, Surface opportunities for process improvement, Shift analytics function to proactive, Surface insights informing product strategy, Surface insights informing CS strategy, Surface insights informing executive decision-making, Improve claims adjudication accuracy, Reduce denials, Enhance payment integrity, Drive AI-informed analytics, Leverage LLMs for insights, Leverage RAG architecture for insights, Leverage generative AI tools for insights, Deliver smarter insights, Deliver faster insights", "teamCollaboration" : "Partner with Customer Success; Partner with Customer Experience; Partner with Data Engineering; Partner with senior leadership; Partner with Product; Partner with Operations; Partner with Engineering; Client conversations; Client QBRs; Client escalations", "projectManagementSkills" : [ "Roadmap planning", "Dependency management" ], "domainKnowledge" : "Healthcare data; Claims processing; Value-based care; Population health; Machine learning models; Predictive analytics", "domainList" : [ "healthcare-data", "claims-processing", "value-based-care", "population-health", "machine-learning-models", "predictive-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Claims processing", "Value-based care", "Population health", "Machine learning models", "Predictive analytics" ], "toolProficiency" : [ "Looker", "SQL", "Dbt", "Snowflake", "Databricks", "BigQuery", "Airflow", "Google Vertex", "OpenAI" ], "communicationSkills" : "Client presentations; Executive presentations", "innovationCreativity" : "AI-informed analytics; Generative AI tools", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Deliver automated, scalable reporting infrastructure; Improve claims adjudication accuracy; Reduce denials; Enhance payment integrity; Deliver smarter, faster insights at scale", "qualificationsBasic" : "10+ years in healthcare analytics, 3+ years in claims processing analytics, 3+ years leading analytics teams, Proven transformation experience, Technical fluency in modern data stack, AI / ML literacy, Client-facing experience, Startup operating experience, People leadership depth, Bachelor's degree in quantitative field", "qualificationsPreferred" : "Master's preferred, Experience with value-based care analytics, Experience with population health, Exposure to machine learning models, Familiarity with data observability tooling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. About the Role We are looking for a Director of Analytics to lead our healthcare analytics function through a pivotal transformation. This is not a steady-state management role — we are modernizing our client reporting infrastructure from the ground up, and you will own that mandate from vision to delivery. You will lead a team of analysts, partner closely with Customer Success, Customer Experience, and Data Engineering, and serve as the primary analytics thought partner to our internal and external stakeholders — including direct engagement with clients. The right person brings deep healthcare data expertise, a builder's mindset, and the credibility to earn trust with both technical teams and business partners quickly. This role sits at the center of how Collective Health uses data to serve its clients. Done well, it changes how our clients experience their benefits — and how our internal teams make decisions. What you’ll do: Strategic Leadership Own the analytics strategy and roadmap — not just maintain it; build it from a clear-eyed assessment of current state and a sharp view of where the function needs to go Lead Client Reporting 2.0: audit what exists, design a modern replacement, and deliver an automated, scalable reporting infrastructure that clients trust and CS can stand behind Collaborate with senior leadership across Product, Operations, Engineering, Customer Success, and Customer Experience to align analytics initiatives with business priorities Serve as a direct partner and analytics representative in client conversations, QBRs, and escalations — alongside CS, not behind them Analytics Oversee end-to-end analysis of claims, member, and benefits data to surface trends, inefficiencies, and opportunities for cost savings or process improvement Shift the analytics function from reactive (answering requests) to proactive — surfacing insights that inform product, CS strategy, and executive decision-making before someone has to ask Lead initiatives to improve claims adjudication accuracy, reduce denials, and enhance payment integrity Drive AI-informed analytics — leveraging LLMs, RAG architecture, and generative AI tools to deliver smarter, faster insights at scale Data Management this is required, not preferred 10+ years in healthcare analytics with 3+ years in claims processing analytics and 3+ years leading analytics teams Proven transformation experience — has modernized or built an analytics function from scratch, not just managed inherited infrastructure Technical fluency in the modern data stack — Looker (or equivalent BI platform), SQL, dbt, cloud data warehouse (Snowflake, Databricks, or BigQuery), orchestration tooling (Airflow or equivalent) AI / ML literacy — working familiarity with LLMs, RAG architecture, and generative AI tools (Google Vertex, OpenAI, or equivalent); able to guide the team on applied AI use cases without needing to build models personally Client-facing experience — comfortable presenting data to non-technical external audiences, navigating client escalations, and representing analytics in high-stakes conversations Startup operating experience — has worked in a fast-moving, high-ambiguity environment; understands that speed, responsiveness, and ownership look different at a startup than at a large enterprise People leadership depth — has hired, developed, and when necessary managed out; gives direct feedback and does not let performance issues linger Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar); Master's preferred but not required Preferred: Experience with value-based care analytics or population health Exposure to machine learning models and predictive analytics in a healthcare setting Familiarity with data observability tooling (Monte Carlo, Great Expectations, or equivalent) Experience with master data management and data architecture at scale Key Competencies Delivery Accountability — owns a roadmap, manages dependencies, ships without needing constant oversight Strategic thinking paired with hands-on execution — knows when to lead from the front Strong communication across technical and non-technical audiences, including clients and executive leadership Healthcare domain credibility — earns trust quickly with CS, CX, and clients because they know the space Cross-functional partnership — builds relationships, influences without authority, and navigates competing priorities with grace Pay Transparency Statement This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week.#LI-hybrid The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 550,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/. San Francisco, CA Pay Range $200,000—$250,000 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.", "summaryDescription" : "Director of Analytics at Collective Health. Skills: Analytics strategy, Client reporting, AI-informed analytics, Data management. Own analytics strategy and roadmap. Build reporting infrastructure", "postedDate" : "2026-06-14T05:22:43.585", "createdAt" : "2026-06-14T05:22:43.585", "lastUpdated" : "2026-06-15T07:17:58.865", "ingestTimestamp" : "2026-06-14T05:22:43.585", "mongoId" : "6a2ca5e274d8ee00a09b8771", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Healthcare data expertise", "Claims adjudication accuracy", "Payment integrity", "Data modelling", "Statistical analysis", "Leadership", "Analytics strategy", "Client reporting", "AI-informed analytics", "Data management", "Strategic leadership", "Roadmap development", "Data analysis", "Claims processing", "Team leadership", "Stakeholder management", "Cross-functional partnership", "Strategic thinking", "Hands-on execution", "Roadmap planning", "Dependency management", "Healthcare data", "Value-based care", "Population health", "Machine learning models", "Predictive analytics", "Looker", "SQL", "Dbt", "Snowflake", "Databricks", "BigQuery", "Airflow", "Google Vertex", "OpenAI" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 615.3052, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf72602beec4dd3d9c6d35", "title" : "Business Operations & Analytics Manager", "company" : "B/SPOKE Studios", "industry" : "Sports & Fitness", "salary" : { "min" : 115500.0, "max" : 154500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Boston, MA, within the Fitness industry, adjusted for company size and experience level." }, "location" : "Boston, MA", "locations" : [ "Boston", "MA" ], "timestamp" : "2026-06-15T12:50:14.634", "fingerprint" : "6b1f610a02635d8c56886feed45059cda56694544b984ec403e560b5f03f934a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://b-spoke-studios.breezy.hr/p/918917ff3124-business-operations-analytics-manager", "externalId" : "918917ff3124", "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", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Analytics capability" ], "hardSkills" : [ { "name" : "Analytics capability", "level" : "intermediate" } ], "majorSkills" : "Scheduling infrastructure, Analytics capability", "majorSkillsList" : [ "Scheduling infrastructure", "Analytics capability" ], "coreResponsibilities" : "Build scheduling infrastructure, Build analytics capability, Optimize weekly classes, Balance utilization, Balance revenue, Balance client satisfaction, Balance instructor performance", "workSiteFlexibility" : "Onsite", "rawDescription" : "What this role is The Business Operations & Analytics Manager will build the scheduling infrastructure and analytics capability that enables us to optimize hundreds of weekly classes across multiple locations—balancing utilization, revenue, client satisfaction, and instructor performance at sca", "summaryDescription" : "Business Operations & Analytics Manager at B/SPOKE Studios. Skills: Scheduling infrastructure, Analytics capability. Build scheduling infrastructure. Build analytics capability", "createdAt" : "2026-06-14T04:16:57.911", "lastUpdated" : "2026-06-15T12:50:14.634", "ingestTimestamp" : "2026-06-14T04:16:57.911", "mongoId" : "69cf72602beec4dd3d9c6d35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 154500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Analytics capability", "Scheduling infrastructure", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 614.5936, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Fitness", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca66474d8ee00a09bb1e8", "title" : "Ground Software Engineer II", "company" : "Inversion", "industry" : "Technology", "salary" : { "min" : 101000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Playa Vista, California, United States", "locations" : [ "Playa Vista", "California", "United States" ], "timestamp" : "2026-06-15T08:18:20.450", "fingerprint" : "13d9340cd1c778493d330a66c30baee1eed491657247a7ddcd7c3b5664e34149", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/inversionspace/jobs/4705509005", "externalId" : "4705509005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Playa Vista", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9760102,-118.4181654" } ], "locationText" : "Playa Vista, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Rust, JSON, Protobuf, YAML, Docker, Kubernetes", "professionalSkills" : [ "System design", "Backend development", "Data visualization", "Software orchestration", "Data storage", "Network routing" ], "hardSkillsList" : [ "Telemetry processing", "Data analysis", "Simulation runs", "Time-series databases" ], "hardSkills" : [ { "name" : "Telemetry processing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Simulation runs", "level" : "intermediate" }, { "name" : "Time-series databases", "level" : "intermediate" } ], "majorSkills" : "Ground control systems, Telemetry pipelines, Distributed systems, Mission control software", "majorSkillsList" : [ "Ground control systems", "Telemetry pipelines", "Distributed systems", "Mission control software" ], "coreResponsibilities" : "Build mission control software, Integrate mission control software, Test mission control software, Build telemetry processing pipelines, Integrate telemetry processing pipelines, Test telemetry processing pipelines, Build data visualization tools, Integrate data visualization tools, Test data visualization tools, Develop user interfaces, Develop backend applications, Design backend architectures, Design telemetry parsers, Design command pipelines, Build operator displays, Build data visualization interfaces, Develop automated software tools, Package automated software tools, Deploy automated software tools, Define communication protocol structures, Implement communication protocol structures, Define serialization standards, Implement serialization standards, Define data definitions, Implement data definitions, Build time-series databases, Maintain time-series databases, Build data storage solutions, Maintain data storage solutions, Integrate ground station software interfaces, Manage uplink RF hardware, Manage downlink RF hardware, Manage tracking antennas, Manage network routing, Provide real-time software support, Troubleshoot networking drops, Troubleshoot command-and-control drops", "teamCollaboration" : "Across software teams; Across hardware teams", "domainKnowledge" : "Space reentry systems; Hypersonic speeds; Space-based defense; Space logistics; Ground operations; Flight tests; RF communication systems; Satellite link characteristics; Digital signal processing", "domainList" : [ "space-reentry-systems", "hypersonic-speeds", "space-based-defense", "space-logistics", "ground-operations", "flight-tests", "rf-communication-systems", "satellite-link-characteristics", "digital-signal-processing" ], "domainSpecificKnowledge" : [ "Space reentry systems", "Hypersonic speeds", "Space-based defense", "Space logistics", "Ground operations", "Flight tests", "RF communication systems", "Satellite link characteristics", "Digital signal processing" ], "toolProficiency" : [ "GitLab CI", "GitHub Actions" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "U. S. citizen, Lawful permanent resident", "qualificationsBasic" : "Bachelor's degree in Computer Science, 2+ years of professional experience, Proficiency in Rust, Proficiency in Linux environment, Experience with network communication protocols, Excellent verbal communication skills, Excellent written communication skills", "qualificationsPreferred" : "Experience working in full-stack development, Familiarity with aerospace mission control frameworks, Familiarity with ground software frameworks, Experience with containerization, Experience with modern DevOps practices, Familiarity with RF communication systems, Familiarity with satellite link characteristics, Familiarity with digital signal processing, Prior experience working in startups, Prior experience working in small engineering teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Turning Space into a Transportation Layer for Earth Who We Are: Inversion builds advanced reentry systems to deliver next-generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach. Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U. S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics. What You'll Do As a Ground Software Engineer at Inversion, you will report directly to the Engineering Manager of Arc Vehicle Software. In this role, you will build, integrate, and test the mission control software, real-time telemetry processing pipelines, and data visualization tools required to operate and monitor the Arc vehicle. You will own the development of user interfaces and backend applications used in both test and operations. Key Responsibilities Design, develop, and maintain the backend architectures, telemetry parsers, and command pipelines that support ground operations and flight tests. Build highly reliable, low-latency operator displays and data visualization interfaces used during vehicle testing and missions. Develop, package, and deploy automated software tools to orchestrate and monitor Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) simulation runs. Define and implement communication protocol structures, serialization standards, and data definitions (e.g., JSON, Protobuf, YAML) between flight and ground hardware. Build and maintain high-rate time-series databases and data storage solutions for rapid post-test analysis and archive searching. Integrate ground station software interfaces to manage uplink and downlink RF hardware, tracking antennas, and network routing. Provide direct, real-time software support during integrated vehicle testing, troubleshooting networking or command-and-control drops. Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Aerospace Engineering, or equivalent technical experience. Typically 2+ years of professional experience developing software, with a focus on ground control systems, telemetry pipelines, or distributed systems. Proficiency in Rust a Linux environment. Experience working with network communication protocols (such as TCP, UDP, and WebSockets). Excellent verbal and written communication skills with the ability to coordinate across software and hardware teams. Desired Qualifications Experience working in full-stack software development. Familiarity with existing aerospace mission control and ground software frameworks (such as COSMOS, Open MCT, Yamcs, or similar). Experience with containerization (Docker, Kubernetes) and modern DevOps practices (GitLab CI, GitHub Actions). Familiarity with RF communication systems, satellite link characteristics, or digital signal processing. Prior experience working in startups and/or small independent engineering teams. Our office headquarters is located in Playa Vista, CA. This position requires in office presence. The California annual base salary for this role is currently $101,000 - $160,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity. ITAR Compliance: To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Learn more about the ITAR here. Equal Employment Opportunity: Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability. Inversion collects and processes personal data in accordance with applicable data protection laws. If you are a US Job Applicant see the CCPA Privacy Policy Notice for further details.", "summaryDescription" : "Ground Software Engineer II at Inversion. Skills: Ground control systems, Telemetry pipelines, Distributed systems, Mission control software. Build mission control software. Integrate mission control software", "postedDate" : "2026-06-14T04:43:24.080", "createdAt" : "2026-06-14T04:43:24.080", "lastUpdated" : "2026-06-15T08:18:20.450", "ingestTimestamp" : "2026-06-14T04:43:24.080", "mongoId" : "6a2ca66474d8ee00a09bb1e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 101000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Telemetry processing", "Data analysis", "Simulation runs", "Time-series databases", "Ground control systems", "Telemetry pipelines", "Distributed systems", "Mission control software", "System design", "Backend development", "Data visualization", "Software orchestration", "Data storage", "Network routing", "Space reentry systems", "Hypersonic speeds", "Space-based defense", "Space logistics", "Ground operations", "Flight tests", "RF communication systems", "Satellite link characteristics", "Digital signal processing", "GitLab CI", "GitHub Actions" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 608.2695, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf26132beec4dd3d90b549", "title" : "Ground Transport Nurse - Aeromed Ground Ambulance", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-level Ground Transport Nurse in Tampa, Florida, with 2+ years of experience, adjusted for the healthcare industry." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "RN license", "Florida Paramedic license", "CTRN", "CFRN", "BLS", "ACLS", "PALS", "NRP", "TNCC", "TPATC", "ATLS" ], "timestamp" : "2026-06-15T11:58:08.577", "fingerprint" : "9857de3f671c85e7becb105edb595dfdbf8b54228c51f0aed87e300737c32173", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675292", "externalId" : "675292", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "professionalSkills" : [ "Critical care nursing", "Emergency medical protocols", "Advanced life support", "Trauma care principles", "Advanced clinical procedures", "Assessment skills", "Diagnostic skills" ], "hardSkillsList" : [ "Ground transport nursing", "Medical transport", "Interfacility transfers" ], "softSkillsList" : [ "Interpersonal skills", "Decision making", "Physical stamina", "Team collaboration" ], "hardSkills" : [ { "name" : "Ground transport nursing", "level" : "intermediate" }, { "name" : "Medical transport", "level" : "intermediate" }, { "name" : "Interfacility transfers", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Decision making" }, { "name" : "Physical stamina" }, { "name" : "Team collaboration" } ], "majorSkills" : "Critical care, Emergency department, Ground transport, Patient care", "majorSkillsList" : [ "Critical care", "Emergency department", "Ground transport", "Patient care" ], "coreResponsibilities" : "Provide comprehensive care, Collaborate with multi-disciplinary team, Deliver high-quality medical care", "teamCollaboration" : "Multi-disciplinary team", "domainKnowledge" : "Critical care nursing; Emergency medical protocols; Advanced life support; Trauma care principles", "domainList" : [ "critical-care-nursing", "emergency-medical-protocols", "advanced-life-support", "trauma-care-principles" ], "domainSpecificKnowledge" : [ "Critical care nursing", "Emergency medical protocols", "Advanced life support", "Trauma care principles" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Make quick decisions; Accurate decisions", "specialRequirements" : "Physical stamina", "qualificationsBasic" : "ASN required, RN license, Florida Paramedic license, 2 years Critical Care experience, 2 years Emergency Department experience, BLS certification, ACLS certification, PALS certification, NRP certification, Advanced Trauma Certification", "qualificationsPreferred" : "CTRN within 1st year, CFRN within 1st year", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Ground Transport Nurse provides comprehensive care to critically ill or injured patients during ground medical transport. The Ground Transport Nurse collaborates with a multi-disciplinary team, including physicians, paramedics, and other healthcare providers, to deliver high-quality medical care during interfacility transfers. Graduate of an accredited School of Nursing, ASN required RN license to practice as a Registered Nurse in the State of Florida Florida Paramedic license Two (2) years of current Critical Care and/or Emergency Department experience Certified Transport Registered Nurse (CTRN) within 1st year of hire Certified Flight Registered Nurse (CFRN) within 1st year of hire Basic Life Support (BLS) Advanced Life Support (ACLS) Pediatric Life Support (PALS) Neonatal Resuscitation Program (NRP) within first six (6) months of hire or transfer Advanced Trauma Certification (TNCC, TPATC, ATLS) within first six (6) months of hire or transfer In-depth knowledge of critical care nursing and emergency medical protocols Knowledge of advanced life support and trauma care principles Proficiency in performing advanced clinical procedures Strong assessment and diagnostic skills Excellent communication and interpersonal skills Ability to make quick, accurate decisions in high-stress situations Physical stamina to perform duties in challenging environments Capacity to work collaboratively within a multidisciplinary team. Tampa", "summaryDescription" : "Ground Transport Nurse - Aeromed Ground Ambulance. Skills: Critical care, Emergency department, Ground transport, Patient care. Provide comprehensive care. Collaborate with multi-disciplinary team", "createdAt" : "2026-06-14T01:58:53.274", "lastUpdated" : "2026-06-15T11:58:08.577", "ingestTimestamp" : "2026-06-14T01:58:53.274", "mongoId" : "69cf26132beec4dd3d90b549", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Ground transport nursing", "Medical transport", "Interfacility transfers", "Interpersonal skills", "Decision making", "Physical stamina", "Team collaboration", "Critical care", "Emergency department", "Ground transport", "Patient care", "Critical care nursing", "Emergency medical protocols", "Advanced life support", "Trauma care principles", "Advanced clinical procedures", "Assessment skills", "Diagnostic skills", "RN license", "Florida Paramedic license", "CTRN", "CFRN", "BLS", "ACLS", "PALS", "NRP", "TNCC", "TPATC", "ATLS" ], "skillCount" : 29, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 603.47906, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69d5e4972beec4dd3d931aa0", "title" : "Technical Program Manager - Ground Infra Services", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, alexa and amazon devices", "salary" : { "min" : 177000.0, "max" : 239400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:24:22.032", "fingerprint" : "d63fd5197d97f2ecfc526c2f3c883dbbedadb09ccd5cc7b69f8e75e642824835", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384757/apply", "externalId" : "c1fed74c-3cc6-444b-b69e-264a905af0a0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Software, Network engineering", "professionalSkills" : [ "Capacity planning", "Financial modeling", "Predictive analytics", "Cost efficiency" ], "hardSkillsList" : [ "Data translation", "Executive narratives" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data translation", "level" : "intermediate" }, { "name" : "Executive narratives", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Ground infrastructure delivery, Global strategy, Cross-functional leadership", "majorSkillsList" : [ "Ground infrastructure delivery", "Global strategy", "Cross-functional leadership" ], "coreResponsibilities" : "Lead infrastructure strategy, Lead infrastructure delivery, Own ambiguous problem spaces, Define global infrastructure delivery, Develop multi-year strategy, Drive next-generation infrastructure deployment, Lead cross-functional initiatives, Influence stakeholders, Design scalable mechanisms, Implement scalable mechanisms, Optimize infrastructure delivery, Identify systemic inefficiencies, Lead organization-wide improvements, Reduce cost, Accelerate timelines, Improve decision quality, Work cross functionality, Strategize with regional teams, Break up roadblocks, Track finances, Improve cost efficiency, Identify improvement opportunities, Drive improvements to resolution, Communicate progress, Communicate challenges", "teamCollaboration" : "Cross-functional alignment; Diverse stakeholder groups; Regional teams; Business teams; Finance teams; Operations teams; Software teams; Network teams", "projectManagementSkills" : [ "Program management", "Roadmap planning" ], "domainKnowledge" : "Ground infrastructure; Global trade; Satellite constellations; Broadband access", "domainList" : [ "ground-infrastructure", "global-trade", "satellite-constellations", "broadband-access" ], "domainSpecificKnowledge" : [ "Ground infrastructure", "Global trade", "Satellite constellations", "Broadband access" ], "communicationSkills" : "Executive-level narratives", "problemSolvingSkills" : "Define problems; Translate complex data", "specialRequirements" : "25% travel, U. S. citizen or national, U. S. permanent resident, Lawfully admitted into U. S.", "outcomesObjectives" : "Deliver ground capacity; Stay on budget; Support P&Ls profitability", "qualificationsBasic" : "10+ years technical program management, Deliver large-scale ambiguous programs, Influence senior leadership, Define strategy in evolving spaces, Analytical and communication skills", "qualificationsPreferred" : "Manage cross functional projects, Build sustainable processes, Coordinate release schedules, Deliver global infrastructure programs, Network infrastructure programs, Capital-intensive programs, Work with engineering teams, Build and scale programs with vendors, Manage budgets, Drive cost efficiency initiatives, Advanced degree in Engineering, Advanced degree in Systems Design", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Leo is an initiative to increase global broadband access through a constellation of more than 3,000 satellites in low Earth orbit. Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. If you want to tackle complex multi-dimensional problems in countries where Amazon has little to no presence and deliver a solution autonomously, then continue reading. The Ground Infra Service team defines and manage the delivery of Leo ground infrastructure globally. We facilitate the collaboration and communication across the owners to build ground capacity through Ground Gateway Terminals (GGT) and the necessary infrastructures for when the business needs them. For the service launch and planned service expansions this translates to 450+ sites across 60+ countries needed by 2030. We work backward from the need by date dictated by service launch/expansion to develop unique project plans. We work with teams across a dozen orgs including Legal, Regulations, BizOps, Finance, Network engineering, Ground systems, Entities, Global trade, Operations, Supply chain, Government services, IT and Digital services, Licensing, and Security. Not only we deliver these sites but we also own their financial health and ensure we stay on budget and support country level P&Ls profitability. This role handles high-priority, ambiguous initiatives that don’t neatly fit into existing team ownership. You will be expected to define problems, drive cross-functional alignment, and execute with limited structure. Key job responsibilities - Lead infrastructure strategy and delivery for a geographic region - Own and define ambiguous problem spaces related to global ground infrastructure delivery, establishing clarity where none exists today - Develop and drive multi-year strategy and roadmap for next-generation ground infrastructure deployment globally - Independently lead large-scale, cross-functional initiatives related to new ground infrastructure types, influencing stakeholders across Legal, Regulatory, Finance, Engineering, Operations, and external partners - Design and implement scalable mechanisms and tooling to optimize infrastructure delivery, including capacity planning, financial modeling, latency considerations, and predictive analytics - Identify systemic inefficiencies and lead organization-wide improvements that reduce cost, accelerate timelines, and improve decision quality across regions A day in the life - Work cross functionality with business teams, finance, operations, and software/network teams - Strategize with regional teams on gateways delivery - Break up roadblocks for your teammates - Track finances and improve cost efficiency yoy - Continuously identify tactical and strategic improvement opportunities in our space and drive them to resolution to scale effectively - Communicate the progress and challenges within the working team and during VP level MBRs - Thrive in ambiguity by seeing around corners and pointing out blind spots. - Travel to regions as needed, up to 25% of the time About the team We are the glue that brings all components of Leo ground infrastructure together. We harmonize discord through constructive dialogue and focus on consistent delivery through standard processes. We operate with autonomy and prioritize life balance to ensure we always operate at our highest level. We acknowledge the ambiguity of our space and welcome taking calculated risks. We always succeed or learn how to succeed. Basic Qualifications: - 10+ years of technical product or program management experience - Demonstrated experience owning and delivering large-scale, ambiguous programs with significant business impact - Proven ability to influence senior leadership and drive alignment across diverse stakeholder groups without direct authority - Experience defining strategy and building mechanisms in undefined or evolving problem spaces - Strong analytical and communication skills, with the ability to translate complex data into actionable insights and executive-level narratives Preferred Qualifications: - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience delivering global infrastructure, network, or capital-intensive programs - Background working closely with engineering teams on complex systems (software and/or hardware) - Experience building and scaling programs involving external vendors and cross-regional stakeholders - Strong financial acumen, including experience managing budgets and driving cost efficiency initiatives - Advanced degree in Engineering, Systems Design, or a related technical field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 177,000.00 - 239,400.00 USD annually", "summaryDescription" : "Technical Program Manager - Ground Infra Services at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Ground infrastructure delivery, Global strategy, Cross-functional leadership. Lead infrastructure strategy. Lead infrastructure delivery", "postedDate" : "2026-06-13T02:23:48.774", "createdAt" : "2026-06-13T02:23:48.774", "lastUpdated" : "2026-06-15T01:24:22.032", "ingestTimestamp" : "2026-06-13T02:23:48.774", "mongoId" : "69d5e4972beec4dd3d931aa0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384757/apply", "salaryAnnualMin" : 177000, "salaryAnnualMax" : 239400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data translation", "Executive narratives", "Leadership", "Ground infrastructure delivery", "Global strategy", "Cross-functional leadership", "Capacity planning", "Financial modeling", "Predictive analytics", "Cost efficiency", "Program management", "Roadmap planning", "Ground infrastructure", "Global trade", "Satellite constellations", "Broadband access" ], "skillCount" : 16, "jobCategory" : "project-management", "dataQualityScore" : 0.8888889, "_score" : 594.124, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2b0b4874d8ee00a075cdbf", "title" : "Ground Truth Organizer", "company" : "Swing Left and Vote Forward", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T06:35:38.206", "fingerprint" : "fce9f270efea9bc23ac751f942204316cf8af690f729af7fe6c083b91a1083fd", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://swing-left.breezy.hr/p/f58e87634f5c-ground-truth-organizer", "externalId" : "f58e87634f5c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "united states", "source" : "country_code_strategy", "geo" : "39.8283,-98.5795" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "ABOUT SWING LEFT Swing Left’s mission is simple: we make it easy for people to maximize their impact on the most competitive elections to help Democrats win. Since launching in 2017, Swing Left’s one million members have raised more than $140 million for Democratic candidates, civic organizations,", "summaryDescription" : "Ground Truth Organizer at Swing Left and Vote Forward", "createdAt" : "2026-06-14T18:39:07.840", "lastUpdated" : "2026-06-16T06:35:38.206", "ingestTimestamp" : "2026-06-14T18:39:07.840", "mongoId" : "6a2b0b4874d8ee00a075cdbf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 591.44073, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c7c1c74d8ee00a094c58e", "title" : "Senior Staff / Manager - Ground Systems Project Engineering", "company" : "Zipline", "industry" : "Logistics", "salary" : { "min" : 160000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T09:00:37.886", "fingerprint" : "f853932c649c843518693f2482210c8193aff6cc2e6c430aff4c49c8b2c46502", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7771360003#open-roles", "externalId" : "7771360003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechanical engineering, Electrical engineering, Civil engineering, Structural engineering, Site infrastructure", "professionalSkills" : [ "Technical problem-solving", "Process development", "Continuous improvement", "Trade studies", "Root-cause analysis", "Design reviews", "NPI readiness", "Field feedback" ], "hardSkillsList" : [ "Mechanical design", "Electrical design", "Civil design", "Structural design", "Site construction", "Serviceability design", "Deployment execution", "New product introduction", "Process improvement", "Field feedback analysis", "Technical investigations", "Launch readiness", "Operational readiness", "Design inputs", "Installability planning", "Commissioning plans", "Serviceability planning", "Safety planning", "Documentation creation", "Training needs assessment", "Spares planning", "Tooling planning", "Handoffs", "Upstream standards", "Product requirements" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Electrical design", "level" : "intermediate" }, { "name" : "Civil design", "level" : "intermediate" }, { "name" : "Structural design", "level" : "intermediate" }, { "name" : "Site construction", "level" : "intermediate" }, { "name" : "Serviceability design", "level" : "intermediate" }, { "name" : "Deployment execution", "level" : "intermediate" }, { "name" : "New product introduction", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Field feedback analysis", "level" : "intermediate" }, { "name" : "Technical investigations", "level" : "intermediate" }, { "name" : "Launch readiness", "level" : "intermediate" }, { "name" : "Operational readiness", "level" : "intermediate" }, { "name" : "Design inputs", "level" : "intermediate" }, { "name" : "Installability planning", "level" : "intermediate" }, { "name" : "Commissioning plans", "level" : "intermediate" }, { "name" : "Serviceability planning", "level" : "intermediate" }, { "name" : "Safety planning", "level" : "intermediate" }, { "name" : "Documentation creation", "level" : "intermediate" }, { "name" : "Training needs assessment", "level" : "intermediate" }, { "name" : "Spares planning", "level" : "intermediate" }, { "name" : "Tooling planning", "level" : "intermediate" }, { "name" : "Handoffs", "level" : "intermediate" }, { "name" : "Upstream standards", "level" : "intermediate" }, { "name" : "Product requirements", "level" : "intermediate" } ], "majorSkills" : "Ground systems, Project engineering, Multidisciplinary engineering, Site deployments", "majorSkillsList" : [ "Ground systems", "Project engineering", "Multidisciplinary engineering", "Site deployments" ], "coreResponsibilities" : "Build and lead Ground Systems Project Engineering function, Support site design, Support construction, Support deployment, Support launch, Support service operations, Support NPI, Support process improvement, Support field feedback, Own technical problem-solving for cross-disciplinary issues, Own site-facing new product introduction process, Coordinate new hardware product introductions, Ensure new hardware products are ready for site, Lead fast technical investigations, Lead trade studies, Lead root-cause analysis, Lead field issue resolution, Lead design reviews, Lead NPI readiness reviews, Provide practical recommendations, Build feedback loops from Construction, Build feedback loops from Operations, Build feedback loops from Service Operations, Build feedback loops from Launch, Build feedback loops from existing sites, Capture lessons from fielded products, Capture lessons from site designs, Capture lessons from deployment processes, Feed lessons to upstream engineering, Feed lessons to upstream design, Feed lessons to upstream product, Feed lessons to upstream operations stakeholders, Convert repeated project issues, Convert repeated construction issues, Convert repeated operations issues, Convert repeated service issues, Create better standards, Create templates", "teamCollaboration" : "Cross-functional teams; Engineering; Product; Operations; Construction; Service Operations; Launch; Supply Chain; External partners; Design managers; Operations leaders; Service leaders; Technicians; External consultants; Senior stakeholders", "projectManagementSkills" : [ "Project execution", "Launch readiness", "NPI readiness" ], "domainKnowledge" : "Ground systems; Site infrastructure; Construction; Serviceability; Deployment execution; New product introduction; Process improvement; Field feedback", "domainList" : [ "ground-systems", "site-infrastructure", "construction", "serviceability", "deployment-execution", "new-product-introduction", "process-improvement", "field-feedback" ], "domainSpecificKnowledge" : [ "Ground systems", "Site infrastructure", "Construction", "Serviceability", "Deployment execution", "New product introduction", "Process improvement", "Field feedback" ], "communicationSkills" : "Technical communication; Clear tradeoffs; Drive decisions", "documentationSkills" : "Documentation creation", "innovationCreativity" : "Technical innovation", "problemSolvingSkills" : "Technical problem-solving; Ambiguous technical problems; Root-cause analysis; Field issue resolution; Troubleshooting", "outcomesObjectives" : "Fewer repeated issues; Clearer technical ownership; Stronger design inputs; Better field feedback loops; Better NPI readiness; Practical engineering tools", "qualificationsBasic" : "Technically strong, Highly tactical, Comfortable solving problems, Experience coordinating new hardware introductions, Experience coordinating infrastructure introductions, Experience coordinating product introductions, Experience building feedback loops, Experience solving ambiguous technical problems, Experience creating process improvements, Experience creating technical standards, Experience creating design checklists, Experience creating NPI readiness mechanisms, Experience creating review processes, Experience creating feedback loops, Comfort working close to the field, High ownership, Low ego", "qualificationsPreferred" : "Scultping from first principles, Facing adversity, Doing the impossible at record breaking speeds", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About this role Zipline is looking for a Sr Staff Engineer or Engineering Manager to build and lead a generalist engineering function for Ground Systems Deployments. Project Engineering will attack a broad set of practical technical problems across mechanical, electrical, civil, structural, site infrastructure, construction, serviceability, deployment execution, new product introduction, process improvement, and field feedback. This role is for someone who is technically strong, highly tactical, and comfortable solving problems that do not fit neatly inside one discipline. You will lead engineers who can move from a field issue to a design improvement, from a construction blocker to a technical trade study, from a new hardware deployment to a launch-readiness plan, and from a recurring site problem to a better upstream standard or product requirement. The function will also own the coordination needed when new hardware products are deployed on-site. Project Engineering will work across Engineering, Product, Operations, Construction, Service Operations, Launch, Supply Chain, and external partners to make sure new site hardware can be designed, built, installed, commissioned, operated, maintained, and improved successfully. The right candidate combines technical innovation with process development and continuous improvement. This function should solve urgent project problems effectively while also making the system better over time: fewer repeated issues, clearer technical ownership, stronger design inputs, better field feedback loops, better NPI readiness, and practical engineering tools that improve speed and quality. What you'll do Build and lead the Ground Systems Project Engineering function as a tactical, multidisciplinary engineering team supporting site design, construction, deployment, launch, service operations, NPI, process improvement, and field feedback. Own technical problem-solving for cross-disciplinary issues that span mechanical, electrical, civil, structural, site infrastructure, constructability, serviceability, installation, commissioning, operations, and field execution. Own the site-facing new product introduction process for new ground-system hardware, coordinating across Engineering, Product, Operations, Construction, Service Operations, Launch, Supply Chain, and external partners. Ensure new hardware products are ready for real site deployment, including design inputs, installability, commissioning plans, serviceability, safety, documentation, training needs, spares, tooling, handoffs, and operational readiness. Lead engineers through fast technical investigations, trade studies, root-cause analysis, field issue resolution, design reviews, NPI readiness reviews, and practical recommendations. Build and maintain feedback loops from Construction, Operations, Service Operations, Launch, and existing sites so lessons from fielded products, site designs, and deployment processes are captured and fed directly back to upstream engineering, design, product, and operations stakeholders. Convert repeated project, construction, operations, and service issues into better standards, templates, design criteria, product requirements, checklists, test plans, training content, and engineering guidance. Create lightweight processes that improve engineering quality and execution speed: intake mechanisms, prioritization rules, technical review cadence, NPI readiness gates, decision records, field feedback loops, issue triage, and lessons-learned routines. Support site-specific technical decisions where standard guidance does not fully apply, balancing safety, cost, schedule, reliability, maintainability, serviceability, and speed. Help define when an issue should be solved by Project Engineering, Product Engineering, Design Execution, Design Concepts, Construction, Service Operations, Operations, Launch, or an external consultant. Build a culture of practical engineering: technically rigorous, field-aware, fast-moving, improvement-oriented, and focused on getting durable solutions into real sites. Develop the team and operating model needed to support more sites, more metros, higher deployment velocity, new hardware introductions, and increasing technical complexity. What you'll bring Experience in project engineering, field engineering, infrastructure engineering, systems engineering, construction engineering, facilities engineering, product-to-field engineering, NPI, operations engineering, or a similarly broad technical role. Strong generalist engineering judgment across several relevant domains: mechanical, electrical, civil, structural, site infrastructure, construction, reliability, serviceability, commissioning, operations, or product deployment. Experience leading engineers or technical project teams, ideally in a projects-based environment where priorities change and solutions must be practical. Experience coordinating new hardware, infrastructure, or product introductions into field, construction, operations, service, or customer environments. Demonstrated ability to build feedback loops that turn field issues, construction lessons, service pain points, and operational learnings into upstream product, design, engineering, or process improvements. Demonstrated ability to solve ambiguous technical problems quickly, communicate tradeoffs clearly, and drive decisions with imperfect information. Experience creating process improvements, technical standards, design checklists, NPI readiness mechanisms, review processes, or feedback loops that reduce repeated problems. Comfort working close to the field: construction sites, operating sites, service teams, launch teams, vendors, consultants, technicians, and upstream engineering teams. A track record of combining technical innovation with operational practicality. You can invent a better answer, but you also know when a simple robust solution is the right one. Strong communication with engineers, product teams, construction managers, design managers, operations leaders, service leaders, technicians, external consultants, and senior stakeholders. High ownership, low ego, and the ability to create clarity when multiple teams could plausibly own a problem. What Else You Need to Know The starting cash range for this role is $160,000 - $225,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!", "summaryDescription" : "Senior Staff / Manager - Ground Systems Project Engineering at Zipline. Skills: Ground systems, Project engineering, Multidisciplinary engineering, Site deployments. Build and lead Ground Systems Project Engineering function. Support site design", "postedDate" : "2026-06-14T02:07:31.058", "createdAt" : "2026-06-14T02:07:31.058", "lastUpdated" : "2026-06-15T09:00:37.886", "ingestTimestamp" : "2026-06-14T02:07:31.058", "mongoId" : "6a2c7c1c74d8ee00a094c58e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Electrical design", "Civil design", "Structural design", "Site construction", "Serviceability design", "Deployment execution", "New product introduction", "Process improvement", "Field feedback analysis", "Technical investigations", "Launch readiness", "Operational readiness", "Design inputs", "Installability planning", "Commissioning plans", "Serviceability planning", "Safety planning", "Documentation creation", "Training needs assessment", "Spares planning", "Tooling planning", "Handoffs", "Upstream standards", "Product requirements", "Ground systems", "Project engineering", "Multidisciplinary engineering", "Site deployments", "Technical problem-solving", "Process development", "Continuous improvement", "Trade studies", "Root-cause analysis", "Design reviews", "NPI readiness", "Field feedback", "Project execution", "Site infrastructure", "Construction", "Serviceability" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 579.78186, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc34174d8ee00a0a08d5e", "title" : "Principal Analytics Engineer", "company" : "Angi", "industry" : "Product", "salary" : { "min" : 165000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T11:38:13.729", "fingerprint" : "a74d9ac64a02e2ba4273f911e34b3411483a6ef78b41f54779da9d4f4039ef3c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/b4a666ff-56c9-4c94-b3b7-38aff7271c91/application", "externalId" : "b4a666ff-56c9-4c94-b3b7-38aff7271c91", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "SQL, Python, Dbt, Snowflake, BI platforms", "professionalSkills" : [ "Analytics engineering", "Data engineering", "Data product ownership", "Semantic layer strategy", "Quality practices", "Developer velocity", "Analyst velocity", "Cross-functional leadership", "Technical reviews", "Pair programming" ], "hardSkillsList" : [ "Data transformation", "Data modeling", "Data quality", "Data governance", "Metric definition", "Metadata management", "Access control", "Data cataloging", "Data lineage", "Testing", "Freshness expectations", "Repository best practices" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Access control", "level" : "intermediate" }, { "name" : "Data cataloging", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Freshness expectations", "level" : "intermediate" }, { "name" : "Repository best practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Analytics engineering, Data architecture, Semantic layer, AI data infrastructure", "majorSkillsList" : [ "Analytics engineering", "Data architecture", "Semantic layer", "AI data infrastructure" ], "coreResponsibilities" : "Design data products, Build data products, Evolve data products, Implement guardrails, Define metadata descriptions, Shape metric definitions, Expose metrics, Translate analyst pain points, Set quality standards, Embed testing, Embed freshness expectations, Embed data catalogs, Embed metadata ownership, Coordinate data platforms, Map use cases, Eliminate duplicate work, Surface technical tradeoffs, Establish global patterns, Maintain global patterns, Manage package management, Maintain repository best practices, Run technical reviews, Host office hours, Lead pair-programming sessions", "teamCollaboration" : "Data engineering teams; Analytics teams; Product teams; Data platforms teams; Data and analytics peers", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Modern data stacks; AI-powered BI; Data mesh architectures; Federated data ownership", "domainList" : [ "modern-data-stacks", "ai-powered-bi", "data-mesh-architectures", "federated-data-ownership" ], "domainSpecificKnowledge" : [ "Modern data stacks", "AI-powered BI", "Data mesh architectures", "Federated data ownership" ], "toolProficiency" : [ "Dbt", "Snowflake", "BI tools" ], "communicationSkills" : "Technical communication; Explain complex modeling", "documentationSkills" : "Well-documented data products", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Consistent metrics; Faster iteration; Trustworthy answers; Radically shorten distance; Validated insights; Work as cohesive system; Spend less time debugging; More time driving strategy; Query data accurately; Query data safely; Reduce cycle times", "qualificationsBasic" : "12+ years experience, Expert-level SQL, Expert-level Python, Modern data stack experience, Data governance tooling experience, Cross-functional leadership skills, Technical communication skills", "qualificationsPreferred" : "Hands-on dbt experience, Hands-on Snowflake experience, Data mesh architecture experience, Federated data ownership experience, AI/LLM tooling exposure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting ABOUT THE TEAM The Principal Analytics Engineer for Product Analytics will shape how product data is transformed and consumed, ensuring that both human analysts and AI agents receive consistent metrics, faster iteration, and trustworthy answers. This role is central to designing and evolving an analytics architecture that radically shortens the distance from complex business questions to validated insights. As a Principal leader, you will be the connective tissue across data engineering, analytics, and product teams—architecting pipelines, semantic layers, and quality practices so they work as a singular, cohesive system. The ideal candidate is a visionary technical simplifier with deep expertise in modern data stacks, a passion for developer/analyst velocity, and a proven ability to enable partner teams. You will play a dual role: empowering human analysts to spend less time debugging and more time driving strategy, while simultaneously hardening our data layer into a load-bearing, semantic infrastructure that AI tools can query accurately and safely. WHAT YOU’LL DO Architecture & Semantic Layer Strategy - Data Product Ownership: Design, build, and evolve high-scale dbt models that transform raw upstream inputs into clean, well-documented, analytics-ready data products with clear contracts and ownership. - Agent-Safe Infrastructure: Implement critical guardrails, clear grain definitions, meaningful metadata descriptions, and approved access paths so AI tools and agents can query data accurately without bypassing governance. - Semantic Evolution: Shape how metrics are defined and exposed so that analysts, dashboards, and AI tools all return the same answer to the same question, turning the semantic layer into production-grade infrastructure for AI-powered BI. Operational Excellence & Velocity - Friction Elimination: Translate recurring analyst pain points—such as ambiguous metrics, broken joins, or undocumented fields—into durable, reusable models, patterns, and shared interfaces. - Quality & Governance Standards: Set and hold the bar for what \"done\" means for a data product, embedding robust testing, freshness expectations, data catalogs, and metadata ownership into the development lifecycle. - Cross-Functional Alignment: Coordinate across data platforms and product teams to map use cases, eliminate duplicate work, surface technical tradeoffs early, and drastically reduce cycle times from business question to trusted answer. Leadership & Enablement - Shared Frameworks: Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices. - Mentorship & Review: Raise the collective engineering bar across the organization by running technical reviews, hosting office hours, and leading pair-programming sessions with domain analysts and engineers. WHO YOU ARE Minimum Qualifications - 12+ years of experience in analytics engineering, data engineering with heavy analytics partnership, or an equivalent technical data role. - Expert-level SQL and strong Python proficiency for advanced data work, with a proven track record of delivering on a modern data stack (transformation-as-code, orchestration, warehouses, and BI). - Experience with data governance tooling, including data catalogs, lineage systems, and policy-aware access patterns. - Exceptional cross-functional leadership skills with a history of influencing engineering and product teams without direct authority. - Strong technical communication skills, with the unique ability to explain complex modeling decisions to a product analyst without jargon, and to a platform engineer without oversimplifying. Preferred Qualifications - Hands-on experience working directly with dbt and Snowflake in a high-scale environment. - Practical experience implementing data mesh architectures or federated data ownership models. - Exposure to AI/LLM tooling as a data consumer, with a strong conceptual grasp of what clean, well-structured data requires to be successfully queried by AI agents and assistants. Compensation & Benefits - The salary band for this position ranges from $165,000 - $240,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. - This position will be eligible for a competitive year end performance bonus & equity package. - Full medical, dental, vision package to fit your needs - Flexible vacation policy; work hard and take time when you need it - Pet discount plans & retirement plan with company match (401K) - The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. #LI-Remote", "summaryDescription" : "Principal Analytics Engineer at Angi. Skills: Analytics engineering, Data architecture, Semantic layer, AI data infrastructure. Design data products. Build data products", "createdAt" : "2026-06-14T05:49:09.887", "lastUpdated" : "2026-06-15T11:38:13.729", "ingestTimestamp" : "2026-06-14T05:49:09.887", "mongoId" : "6a2cc34174d8ee00a0a08d5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data transformation", "Data modeling", "Data quality", "Data governance", "Metric definition", "Metadata management", "Access control", "Data cataloging", "Data lineage", "Testing", "Freshness expectations", "Repository best practices", "Leadership", "Mentoring", "Analytics engineering", "Data architecture", "Semantic layer", "AI data infrastructure", "Data engineering", "Data product ownership", "Semantic layer strategy", "Quality practices", "Developer velocity", "Analyst velocity", "Cross-functional leadership", "Technical reviews", "Pair programming", "Agile", "Modern data stacks", "AI-powered BI", "Data mesh architectures", "Federated data ownership", "Dbt", "Snowflake", "BI tools" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 579.1951, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d21", "title" : "Prime Air Ground Handler", "company" : "Amazon. com Services LLC", "industry" : "Fulfillment Operations Management, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 27.0, "max" : 27.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Woodway, Texas, USA", "locations" : [ "Woodway, Texas, USA" ], "timestamp" : "2026-06-16T08:05:17.701", "fingerprint" : "37ecb6ec408c24d9f1c9a0782452bae354443e565d508d9e1b1c9ebf8a9a7634", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449047/apply", "externalId" : "5210465e-a317-4421-bf23-a33a675c62d1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Woodway", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.5059105,-97.2050856" } ], "locationText" : "Woodway, Texas, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is revolutionizing delivery services through innovative drone technology. We're seeking an Autonomous Vehicle Assistant to support our drone delivery operations through ground support activities, basic operational tasks, and community engagement. Key job responsibilities * Support daily drone operations by handling and organizing equipment, including batteries and related components * Monitor airspace in the area of operations and report any potential hazards or obstacles * Assist with basic warehouse tasks including inventory management and package preparation * Execute standard operating procedures while maintaining safety and compliance standards * Engage positively with community members and address basic inquiries about our operations * Document and report operational activities using standard templates and tools * Safely and efficiently deliver packages to customers by car, ensuring on-time arrival, accurate handling, and providing excellent service while adhering to all traffic laws and company safety standards This role requires the ability to carry/lift up to 50 pounds, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach. In addition, this role requires the ability to work outside in various weather conditions. This role requires the ability to work any shift, including nights, weekends, and holidays This role requires work in an environment where the noise level varies and is subject to variable temperatures and weather (outside temperature, and include refrigerated environments) This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA Basic Qualifications: - High School diploma or equivalent - Knowledge of basic mechanical aptitude and equipment troubleshooting - Experience working in a fast-paced, team environment - Can demonstrate strong attention to safety and ability to follow detailed procedures - Can travel to local sites up to 25% of the time - Can provide valid Drivers License - Experience troubleshooting and documenting findings - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach Preferred Qualifications: - FAA Part 107 Remote Pilot Certificate - Knowledge of aviation terminology and regulations - Experience in warehouse or logistics - Experience in aviation, aerospace, or drone operations 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 starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, TX, WOODWAY - 27.00 - 27.00 USD hourly", "summaryDescription" : "Prime Air Ground Handler at Amazon. com Services LLC", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:18.291", "lastUpdated" : "2026-06-16T08:05:17.701", "ingestTimestamp" : "2026-06-15T22:01:18.291", "mongoId" : "6a305649f292fd229cf26d21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449047/apply", "salaryAnnualMin" : 56160, "salaryAnnualMax" : 56160, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 569.894, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c1c74d8ee00a094c563", "title" : "Senior Manager / Director - Ground Systems", "company" : "Zipline", "industry" : "Logistics", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T09:04:33.576", "fingerprint" : "ba19fd59e9a7b821af82df27d43d1d59d5cb716f852e80dc3c934c07670ffb09", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7771361003#open-roles", "externalId" : "7771361003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "General contracting", "Trade capacity management", "Contract negotiation", "Change management", "Project controls", "Cost tracking", "Schedule reviews", "Contractor scorecards", "Change-order discipline", "Escalation paths" ], "hardSkillsList" : [ "Construction execution", "Schedule reliability", "Cost control", "Safety performance", "Quality control", "Field execution" ], "softSkillsList" : [ "Mentoring", "Leadership" ], "hardSkills" : [ { "name" : "Construction execution", "level" : "intermediate" }, { "name" : "Schedule reliability", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Safety performance", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Field execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Leadership" } ], "majorSkills" : "Ground systems construction, Construction strategy, Construction execution, Contractor management", "majorSkillsList" : [ "Ground systems construction", "Construction strategy", "Construction execution", "Contractor management" ], "coreResponsibilities" : "Build Ground Systems Construction function, Lead Ground Systems Construction function, Deliver charging sites, Deliver ground infrastructure, Hire construction managers, Mentor construction managers, Manage construction managers, Raise bar for construction managers, Define construction strategy, Use general contractors, Use specialty trades, Build self-perform capability, Evolve construction model, Own construction execution outcomes, Manage portfolio of projects, Source general contractors, Evaluate general contractors, Negotiate with general contractors, Manage general contractors, Manage trade partners, Partner with Finance, Partner with Legal, Partner with Procurement, Partner with Design Execution, Partner with Design Concepts, Partner with Project Engineering, Partner with Launch, Partner with Service Operations, Partner with Real Estate, Partner with Field Operations, Build construction systems, Implement project controls, Establish reporting cadence, Implement cost tracking, Conduct schedule reviews, Develop contractor scorecards, Manage change-order discipline, Set safety expectations, Set quality standards, Define escalation paths, Decide contractor action, Drive issues to closure, Establish role boundaries, Capture lessons learned, Develop construction organization, Develop partner network", "teamCollaboration" : "Cross-functional teams; Partner with Finance; Partner with Legal; Partner with Procurement; Partner with Design; Partner with Engineering; Partner with Launch; Partner with Operations", "projectManagementSkills" : [ "Schedule management", "Cost control", "Quality management", "Safety management", "Change management", "Closeout management" ], "domainKnowledge" : "Ground systems; Drone delivery logistics; Autonomous logistics systems; Construction delivery models; General contractor management; Trade partner management; Design-bid-build; Design-build; Owner-managed construction; Self-perform tradeoffs", "domainList" : [ "ground-systems", "drone-delivery-logistics", "autonomous-logistics-systems", "construction-delivery-models", "general-contractor-management", "trade-partner-management", "design-bid-build", "design-build", "owner-managed-construction", "self-perform-tradeoffs" ], "domainSpecificKnowledge" : [ "Ground systems", "Drone delivery logistics", "Autonomous logistics systems", "Construction delivery models", "General contractor management", "Trade partner management", "Design-bid-build", "Design-build", "Owner-managed construction", "Self-perform tradeoffs" ], "communicationSkills" : "Direct communication", "problemSolvingSkills" : "Practical problem solving; Root cause analysis", "specialRequirements" : "Spend time in field, Inspect work directly", "outcomesObjectives" : "Deliver Zipline charging sites; Deliver ground infrastructure; Achieve schedule reliability; Achieve cost control; Achieve safety performance; Achieve quality standards; Manage change orders; Complete project closeout; Ensure readiness for launch; Ensure readiness for operations", "qualificationsBasic" : "5+ years construction experience, Experience managing construction managers, Experience with construction delivery models, Experience sourcing general contractors, Experience managing trade partners, Commercial judgment, Operational judgment, Ability to work with Finance, Ability to work with Legal, Ability to work with Procurement, Ability to work with Design, Ability to work with Engineering, Ability to work with Launch, Ability to work with Operations, Practical safety leadership, High expectations for quality, Ability to create scalable process, Willingness to spend time in field, Ability to inspect work directly, Ability to lead through constraints, High ownership, Direct communication, Low ego, Ability to make clear decisions", "qualificationsPreferred" : "Track record of building construction function, Track record of improving construction function", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About this role Zipline is looking for a Sr Manager / Director of Construction to build, grow, and lead the construction function for Ground Systems Deployments. This person will be accountable for how Zipline builds charging sites and related ground infrastructure across many projects, metros, and future markets. This is both a tactical execution and strategic planning role. You will hire, mentor, monitor, and manage construction managers who own schedule, cost, quality, safety, contractor coordination, and field execution across a broad portfolio of projects. You may also help define and eventually own an internal self-perform capability, including general contracting and trade resources where it makes sense for Zipline to build directly. The right leader will define the construction strategy for Zipline: when to use national or regional general contractors, when to self-perform, how to build strategic contractor relationships, how to manage trade capacity, how to keep construction aligned with design and launch needs, and how to make construction a scalable operating function rather than a project-by-project scramble. What you'll do Build and lead the Ground Systems Construction function responsible for delivering Zipline charging sites and related ground infrastructure across active and future markets. Hire, mentor, manage, and raise the bar for construction managers who own site-level schedule, cost, quality, safety, contractor coordination, and field execution. Define Zipline's construction strategy, including where to use general contractors, where to use specialty trades, where to build self-perform capability, and how the model should evolve as volume increases. Own construction execution outcomes across a portfolio of projects, including schedule reliability, cost control, safety performance, quality, change management, closeout, and readiness for launch or operations. Source, evaluate, negotiate with, and manage strategic relationships with general contractors and trade partners across the country. Partner closely with Finance, Legal, Procurement, Design Execution, Design Concepts, Project Engineering, Launch, Service Operations, Real Estate, and Field Operations to keep construction aligned with business needs and risk controls. Build the systems needed to scale construction: project controls, reporting cadence, cost tracking, schedule reviews, contractor scorecards, change-order discipline, safety expectations, quality standards, and escalation paths. Decide when field issues require contractor action, design change, engineering support, commercial escalation, or leadership intervention, and drive those issues to closure. Establish clear role boundaries between construction managers, design managers, project engineers, general contractors, trades, launch teams, and service teams. Capture lessons from completed projects and turn them into better standards, better contractor scopes, better construction methods, and better site designs. Develop the construction organization and partner network needed to support more sites, more metros, higher deployment velocity, and increasing technical complexity. What you'll bring Significant experience leading construction for physical infrastructure, distributed site rollout, industrial facilities, EV charging, commercial solar, logistics infrastructure, retail/site development, data centers, or similar capital projects. Experience managing construction managers or project teams responsible for schedule, cost, quality, safety, contractor coordination, and field execution. Strong understanding of construction delivery models, including general contractor management, trade partner management, design-bid-build, design-build, owner-managed construction, and self-perform tradeoffs. A track record of building or improving a construction function, not just managing individual projects. Experience sourcing, evaluating, negotiating with, and managing general contractors or trade partners across multiple regions or markets. Strong commercial and operational judgment around budgets, forecasts, contracts, change orders, schedule risk, quality issues, claims, and contractor performance. Ability to work closely with Finance, Legal, Procurement, Design, Engineering, Launch, and Operations while remaining clearly accountable for construction outcomes. Practical safety leadership and high expectations for field execution quality. Ability to create scalable process without overburdening field teams: reporting cadence, project controls, contractor scorecards, handoff routines, closeout expectations, and lessons-learned loops. Willingness to spend time in the field, inspect the work directly, and lead through real construction constraints rather than only through meetings. High ownership, direct communication, low ego, and the ability to make clear decisions when schedule, cost, quality, and partner constraints are in tension. What Else You Need to Know The starting cash range for this role is $175,000 - $250,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!", "summaryDescription" : "Senior Manager / Director - Ground Systems at Zipline. Skills: Ground systems construction, Construction strategy, Construction execution, Contractor management. Build Ground Systems Construction function. Lead Ground Systems Construction function", "postedDate" : "2026-06-14T03:15:42.197", "createdAt" : "2026-06-14T03:15:42.197", "lastUpdated" : "2026-06-15T09:04:33.576", "ingestTimestamp" : "2026-06-14T03:15:42.197", "mongoId" : "6a2c7c1c74d8ee00a094c563", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Construction execution", "Schedule reliability", "Cost control", "Safety performance", "Quality control", "Field execution", "Mentoring", "Leadership", "Ground systems construction", "Construction strategy", "Contractor management", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "General contracting", "Trade capacity management", "Contract negotiation", "Change management", "Project controls", "Cost tracking", "Schedule reviews", "Contractor scorecards", "Change-order discipline", "Escalation paths", "Schedule management", "Quality management", "Safety management", "Closeout management", "Ground systems", "Drone delivery logistics", "Autonomous logistics systems", "Construction delivery models", "General contractor management", "Trade partner management", "Design-bid-build", "Design-build", "Owner-managed construction", "Self-perform tradeoffs" ], "skillCount" : 41, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 569.32947, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb07f74d8ee00a09da29c", "title" : "People Data Analytics Lead", "company" : "Harvey", "industry" : "Human Resources", "salary" : { "min" : 180000.0, "max" : 270000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:58:21.524", "fingerprint" : "712914c79eba877c553395733fccbe6522d514bb9ec583383099c775ecfa808c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harvey/77a9080e-a86f-4950-b8c1-39c8a411cd5c/application", "externalId" : "77a9080e-a86f-4950-b8c1-39c8a411cd5c", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, 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", "professionalSkills" : [ "Data modeling", "Data governance", "Data quality", "Workforce planning", "People metrics", "Benchmarking", "Forecasting", "Segmentation", "Risk assessment", "Self-service analytics", "Data strategy" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Data transformation", "Schema design" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Schema design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "People analytics, Data infrastructure, Workforce data", "majorSkillsList" : [ "People analytics", "Data infrastructure", "Workforce data" ], "coreResponsibilities" : "Build employee lifecycle view, Own people data infrastructure roadmap, Partner with Data Engineering, Define architecture requirements, Drive role-based access controls, Implement data governance, Consolidate workforce data, Build data quality frameworks, Define people metrics dictionary, Standardize headcount measurement, Standardize attrition measurement, Standardize hiring measurement, Standardize workforce trends, Design scaling frameworks, Design scaling methodologies, Forecast headcount, Model attrition, Segment the organization, Benchmark against market, Surface leading indicators, Surface manager behaviors, Surface operational friction, Surface emerging org risks, Build leadership dashboards, Shape exec decisions, Build self-service foundation, Design partner tooling, Design partner documentation, Drive alignment with PBPs, Drive alignment with RecOps, Drive alignment with People Systems, Drive alignment with Finance, Define reporting cadence, Set people data standards, Review analytics work, Grow analytics capability, Automate workflows with AI, Accelerate analysis with AI, Scale impact with AI", "teamCollaboration" : "Partner with Data Engineering; Partner with Security; Alignment across PBPs; Alignment across RecOps; Alignment across People Systems; Alignment across Finance; Grow analytics capability partner teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "People analytics; HR systems; Workforce data; Talent management; Employee lifecycle; Total Rewards; Recruiting Ops; People Ops; People Systems; Finance", "domainList" : [ "people-analytics", "hr-systems", "workforce-data", "talent-management", "employee-lifecycle", "total-rewards", "recruiting-ops", "people-ops", "people-systems", "finance" ], "domainSpecificKnowledge" : [ "People analytics", "HR systems", "Workforce data", "Talent management", "Employee lifecycle", "Total Rewards", "Recruiting Ops", "People Ops", "People Systems", "Finance" ], "toolProficiency" : [ "Workday", "Ashby", "Envoy", "Culture Amp", "Looker", "Tableau", "Power BI" ], "communicationSkills" : "Executive presentations; Persuasive communication", "innovationCreativity" : "AI-first thinking", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Connect employee lifecycle; Actionable narrative on talent; Understand talent thriving; Understand talent breakdown; Understand why things happen; Intervene before issues scale; Surface insights for decisions", "qualificationsBasic" : "7+ years people analytics, Build people analytics functions, SQL complex queries, Cloud data warehouse experience, Workday HRIS experience, ATS experience, AI-native workflows", "qualificationsPreferred" : "Snowflake strongly preferred, PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW You'll be Harvey's founding People Data Analytics Lead — the technical leader for our people analytics function. You'll set the long-term direction for how we measure, model, and act on workforce data: building the data layer from scratch, defining the methodology others work from, and connecting the full employee lifecycle into a single, actionable view of how exceptional talent thrives at Harvey. The goal isn't just reporting — it's helping leaders understand why things are happening across the workforce and intervene before issues scale. This role sits within People Ops, with deep partnership across Total Rewards, Recruiting Ops, PBPs, People Systems, and Finance. WHAT YOU'LL DO - Build a cohesive view of Harvey's employee lifecycle — connecting recruiting, onboarding, engagement, performance, mobility, retention, and exits into a single, actionable narrative that shows where exceptional talent thrives or breaks down - Own the vision and roadmap for Harvey's people data infrastructure — partner with Data Engineering and Security to stand up the people data layer in Snowflake (or similar), define architecture requirements, and drive role-based access controls and data governance so the right people have the right access - Consolidate workforce data across Workday, Ashby, Envoy, Culture Amp, and other HR systems, and build the data quality frameworks that keep it trustworthy at scale - Define and maintain Harvey's people metrics dictionary — standardize how headcount, attrition, hiring, and workforce trends are measured across the org - Design the frameworks and methodologies that scale beyond v1 — forecast headcount, model attrition, segment the org, benchmark against market — built to explain not just what is happening but why - Move People Analytics beyond reporting into intervention — surface leading indicators, manager behaviors, operational friction, and emerging org risks before they become scaled people problems, and help Harvey understand what attracts, enables, retains, and risks losing exceptional talent - Build dashboards that give leadership clear visibility into the workforce, cuttable by org, region, and function — and shape exec-level decisions with the insights they surface - Build the self-service foundation that lets partner teams operate independently — design the frameworks, tooling, and documentation so that comp, PBPs, and other partners can surface their own insights without routing every question through analytics - Drive alignment across PBPs, RecOps, People Systems, and Finance to define reporting cadence and answer the questions that drive strategic people decisions - Set the bar for people data craft at Harvey — define standards, review work, and grow the analytics capability of partner teams - Use AI aggressively to automate workflows, accelerate analysis, and scale your impact — this is a role where AI-first thinking compounds fast WHAT YOU HAVE - 7+ years in people analytics, HR data, or workforce analytics, ideally at a high-growth tech company - Track record of building people analytics functions, frameworks, or methodologies from scratch — not just executing within an established one - Strong SQL — you can write complex queries, validate data quality, and collaborate fluently with data engineers on schema design and transformation logic - Hands-on experience with a cloud data warehouse (Snowflake strongly preferred) - Experience with at least one data viz tool (Looker, Tableau, Power BI, or similar) - Direct Workday (HRIS) and ATS experience; you understand how people data is structured in an HRIS and what breaks it - Experience mentoring or upskilling partner teams on data practices, dashboards, or self-serve reporting - AI-native workflows — you use AI tools daily, build with them, and use them as force multipliers - A self-starter attitude and the ability to thrive in ambiguous, fast-paced environments - Communicates persuasively with executives — frames data into recommendations leaders act on COMPENSATION $180,000 - $270,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "summaryDescription" : "People Data Analytics Lead at Harvey. Skills: People analytics, Data infrastructure, Workforce data. Build employee lifecycle view. Own people data infrastructure roadmap", "createdAt" : "2026-06-14T03:13:00.371", "lastUpdated" : "2026-06-15T08:58:21.524", "ingestTimestamp" : "2026-06-14T03:13:00.371", "mongoId" : "6a2cb07f74d8ee00a09da29c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 270000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Data transformation", "Schema design", "Leadership", "Mentoring", "Critical thinking", "People analytics", "Data infrastructure", "Workforce data", "Data modeling", "Data governance", "Data quality", "Workforce planning", "People metrics", "Benchmarking", "Forecasting", "Segmentation", "Risk assessment", "Self-service analytics", "Data strategy", "Roadmap planning", "HR systems", "Talent management", "Employee lifecycle", "Total Rewards", "Recruiting Ops", "People Ops", "People Systems", "Finance", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Workday", "Ashby", "Envoy", "Culture Amp", "Looker", "Tableau", "Power BI" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 569.29895, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30753bf292fd229c00d515", "title" : "Prime Air Ground Handler", "company" : "Amazon.com Services LLC", "industry" : "Fulfillment Operations Management, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 27.0, "max" : 27.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Woodway, Texas, USA", "locations" : [ "Woodway, Texas, USA" ], "timestamp" : "2026-06-16T14:35:56.762", "fingerprint" : "ba6389ff2373e22b749209f833b0c77fd38557036753c4935be1b72de3990107", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449458/apply", "externalId" : "eef63ca5-5e22-4bef-af18-6eadb58bacab", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Woodway", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.5059105,-97.2050856" } ], "locationText" : "Woodway, Texas, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Inventory management", "Order fulfillment" ], "hardSkills" : [ { "name" : "Inventory management", "level" : "intermediate" }, { "name" : "Order fulfillment", "level" : "intermediate" } ], "majorSkills" : "Warehouse operations, Logistics", "majorSkillsList" : [ "Warehouse operations", "Logistics" ], "coreResponsibilities" : "Receive and process incoming inventory, Pick, pack, and ship customer orders, Manage inventory and stock levels, Maintain a clean and safe work environment, Operate warehouse equipment, Adhere to safety and security procedures, Work with team members to achieve goals", "teamCollaboration" : "Work with team members", "domainKnowledge" : "Warehouse operations", "domainList" : [ "warehouse-operations" ], "domainSpecificKnowledge" : [ "Warehouse operations" ], "toolProficiency" : [ "RF scanners" ], "specialRequirements" : "Ability to lift 49.9 pounds, Ability to stand for up to 10 hours, Ability to work flexible schedules", "qualificationsBasic" : "Minimum 1 year of experience in a warehouse environment, Ability to lift 49.9 pounds, Ability to stand for up to 10 hours, Ability to work in a fast-paced environment, Ability to work in a temperature-controlled environment, Ability to work flexible schedules", "qualificationsPreferred" : "Experience with electric pallet jacks or forklifts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is revolutionizing delivery services through innovative drone technology. We're seeking an Autonomous Vehicle Assistant to support our drone delivery operations through ground support activities, basic operational tasks, and community engagement. Key job responsibilities * Support daily drone operations by handling and organizing equipment, including batteries and related components * Monitor airspace in the area of operations and report any potential hazards or obstacles * Assist with basic warehouse tasks including inventory management and package preparation * Execute standard operating procedures while maintaining safety and compliance standards * Engage positively with community members and address basic inquiries about our operations * Document and report operational activities using standard templates and tools * Safely and efficiently deliver packages to customers by car, ensuring on-time arrival, accurate handling, and providing excellent service while adhering to all traffic laws and company safety standards This role requires the ability to carry/lift up to 50 pounds, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach. In addition, this role requires the ability to work outside in various weather conditions. This role requires the ability to work any shift, including nights, weekends, and holidays This role requires work in an environment where the noise level varies and is subject to variable temperatures and weather (outside temperature, and include refrigerated environments) This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA Basic Qualifications: - High School diploma or equivalent - Knowledge of basic mechanical aptitude and equipment troubleshooting - Experience working in a fast-paced, team environment - Can demonstrate strong attention to safety and ability to follow detailed procedures - Can travel to local sites up to 25% of the time - Can provide valid Drivers License - Experience troubleshooting and documenting findings - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach Preferred Qualifications: - FAA Part 107 Remote Pilot Certificate - Knowledge of aviation terminology and regulations - Experience in warehouse or logistics - Experience in aviation, aerospace, or drone operations 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 starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, TX, WOODWAY - 27.00 - 27.00 USD hourly", "summaryDescription" : "Prime Air Ground Handler at Amazon.com Services LLC. Skills: Warehouse operations, Logistics. Receive and process incoming inventory. Pick, pack, and ship customer orders", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:53:50.821", "lastUpdated" : "2026-06-16T14:35:56.762", "ingestTimestamp" : "2026-06-16T01:53:50.821", "mongoId" : "6a30753bf292fd229c00d515", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449458/apply", "salaryAnnualMin" : 56160, "salaryAnnualMax" : 56160, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Inventory management", "Order fulfillment", "Warehouse operations", "Logistics", "RF scanners" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 567.19116, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ac174d8ee00a090db99", "title" : "SRC Compliance Auditor Ground", "company" : "Atlas Air", "industry" : "Logistics", "salary" : { "min" : 62500.0, "max" : 84000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Miami, FL, USA", "locations" : [ "Miami", "FL", "USA" ], "certifications" : [ "Dangerous Goods handling", "B747F/767 Weight and Balance" ], "timestamp" : "2026-06-15T09:34:56.281", "fingerprint" : "a7f4ff984d9ef989bb496990c932c11d283124384aa35150f8462e1a22c8839b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.atlasairworldwide.com/careers/job-board/?gh_jid=4211888009", "externalId" : "4211888009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Miami", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "25.7741566,-80.1935973" } ], "locationText" : "Miami, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "technicalSkills" : "Microsoft Office Suite, Word, PowerPoint, Excel", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Loadmaster", "Hazardous Materials", "Deicing", "Fueling", "Special loads", "Catering", "Security", "Ground damage investigations", "Quality control audits", "Weight and Balance" ], "hardSkills" : [ { "name" : "Loadmaster", "level" : "intermediate" }, { "name" : "Hazardous Materials", "level" : "intermediate" }, { "name" : "Deicing", "level" : "intermediate" }, { "name" : "Fueling", "level" : "intermediate" }, { "name" : "Special loads", "level" : "intermediate" }, { "name" : "Catering", "level" : "intermediate" }, { "name" : "Security", "level" : "intermediate" }, { "name" : "Ground damage investigations", "level" : "intermediate" }, { "name" : "Quality control audits", "level" : "intermediate" }, { "name" : "Weight and Balance", "level" : "intermediate" } ], "majorSkills" : "Safety Audits, Corrective Actions, Ground Operations", "majorSkillsList" : [ "Safety Audits", "Corrective Actions", "Ground Operations" ], "coreResponsibilities" : "Assist in gathering findings, Assist in tracking findings, Assist in auditing findings, Assist in closeout of findings, Assist in closeout of Corrective Action Plans, Perform event investigations, Comply with Company procedures, Perform job duties timely, Perform job duties efficiently, Perform all ground operations aspects, Conduct ground damage investigations, Perform quality control audits, Share audits with Station Managers, Share audits with customers, Develop action plans for deficiencies, Develop action plans for procedural changes, Complete audits timely, Complete investigations timely, Ensure customers are current with requirements, Conduct cargo loading system evaluations, Develop action plans for performance improvement, Maintain on-call status, Screen safety related events, Initiate investigation, Assist in development of procedural changes, Accomplish other duties as assigned", "teamCollaboration" : "Cross-functional coordination; Work with all areas; Coordinate with Maintenance", "domainKnowledge" : "Ground operations; Loadmaster; Hazardous Materials; Deicing; Fueling; Special loads; Catering; Security; Dangerous Goods handling; B747F/767 Weight and Balance", "domainList" : [ "ground-operations", "loadmaster", "hazardous-materials", "deicing", "fueling", "special-loads", "catering", "security", "dangerous-goods-handling", "b747f-767-weight-and-balance" ], "domainSpecificKnowledge" : [ "Ground operations", "Loadmaster", "Hazardous Materials", "Deicing", "Fueling", "Special loads", "Catering", "Security", "Dangerous Goods handling", "B747F/767 Weight and Balance" ], "toolProficiency" : [ "Microsoft Word", "Microsoft PowerPoint", "Microsoft Excel" ], "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "On-call status", "outcomesObjectives" : "Improve areas performance", "qualificationsBasic" : "Minimum 2 years experience, Must pass Dangerous Goods handling certification, Must pass B747F/767 Weight and Balance certification, Proficient in Microsoft Office Suite, Must possess valid passport", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Atlas Air Worldwide. Move the World with Us! At Atlas Air Worldwide, we’re not just an airline, we’re a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we’re built on a foundation of safety, service excellence, integrity, innovation, teamwork, and responsibility. With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we’re driven by purpose. If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here. Position Summary: This position will be responsible for assisting in gathering, tracking, auditing, and closeout of Safety and Operational Findings and Corrective Action Plans. Event investigations will be done at the direction of the SRC and in conjunction with other operational departments. Major Job Accountabilities: Comply with all Company procedures as outlined in manuals, bulletins, and memos. Perform all job duties in a timely and efficient manner. Must be qualified to perform all aspects of ground operations including Loadmaster, Hazardous Materials, deicing, fueling, special loads, catering, security, etc. Conduct ground damage investigations as directed by SRC with all departments Perform quality control audits at warehouses, ramps, and operations areas. Share these audits with the local Station Managers and customers. Work with all areas to develop action plans to resolve any deficiencies and/or procedural changes as needed. Work diligently to complete audits and investigations in a timely manner. Ensure our customers are current with operating requirements. Conduct cargo loading system evaluations, in coordination with Maintenance. Develop action plans with responsibility parties for areas that are performing below goal to improve the areas performance. Maintain an on-call status during off duty hours for screening of safety related events and investigation initiation Assist if procedural changes are required with departments in development of changes in affected manuals. Accomplish other duties as assigned Qualifications: Bachelor’s degree or equivalent relevant experience Minimum 2 years of related experience Must pass initial and maintain Certification in Dangerous Goods handling. Must pass initial and maintain Certification in B747F/767 Weight and Balance. Proficient in Microsoft Office Suite, including Word, PowerPoint, and Excel Must possess a valid passport. Must be self-starter, able to work with little supervision in fast paced environment Travel will be required up to 50%, must be able to travel without restrictions Must have the ability to communicate both oral and written in a professional manner. College degree preferred or equivalent experience. #GH19 #LI-20 The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking \"EEO Is The Law\" . To view our Pay Transparency Statement, please click here: Pay Transparency Statement Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package. Pay Range $62,500—$84,000 USD At Atlas Air Worldwide, we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.", "summaryDescription" : "SRC Compliance Auditor Ground at Atlas Air. Skills: Safety Audits, Corrective Actions, Ground Operations. Assist in gathering findings. Assist in tracking findings", "postedDate" : "2026-06-14T09:25:55.393", "createdAt" : "2026-06-14T09:25:55.393", "lastUpdated" : "2026-06-15T09:34:56.281", "ingestTimestamp" : "2026-06-14T09:25:55.393", "mongoId" : "6a2c6ac174d8ee00a090db99", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62500, "salaryAnnualMax" : 84000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Loadmaster", "Hazardous Materials", "Deicing", "Fueling", "Special loads", "Catering", "Security", "Ground damage investigations", "Quality control audits", "Weight and Balance", "Safety Audits", "Corrective Actions", "Ground Operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Ground operations", "Dangerous Goods handling", "B747F/767 Weight and Balance", "Microsoft Word", "Microsoft PowerPoint", "Microsoft Excel" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 564.97925, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb07f74d8ee00a09da29d", "title" : "People Data Analytics Lead", "company" : "Harvey", "industry" : "Human Resources", "salary" : { "min" : 180000.0, "max" : 270000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Chicago", "locations" : [ "Chicago" ], "timestamp" : "2026-06-15T08:49:22.899", "fingerprint" : "7d56885f067a213f2d05df926178034ecdc7c8a38e1fa16fba110d5881b59104", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harvey/174ffc54-76a9-4fd5-98ee-1edbe6ed4941/application", "externalId" : "174ffc54-76a9-4fd5-98ee-1edbe6ed4941", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", 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analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "People metrics dictionary", "level" : "intermediate" }, { "name" : "Headcount forecasting", "level" : "intermediate" }, { "name" : "Attrition modeling", "level" : "intermediate" }, { "name" : "Org segmentation", "level" : "intermediate" }, { "name" : "Market benchmarking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "People analytics, Data infrastructure, Workforce data modeling, AI automation", "majorSkillsList" : [ "People analytics", "Data infrastructure", "Workforce data modeling", "AI automation" ], "coreResponsibilities" : "Build cohesive employee lifecycle view, Own people data infrastructure vision, Partner with Data Engineering, Define architecture requirements, Drive role-based access controls, Implement data governance, Consolidate workforce data, Build data quality frameworks, Define people metrics dictionary, Standardize headcount measurement, Standardize attrition measurement, Standardize workforce trends, Design scaling frameworks, Design scaling methodologies, Forecast headcount, Model attrition, Segment the org, Benchmark against market, Surface leading indicators, Surface manager behaviors, Surface operational friction, Surface emerging org risks, Build leadership dashboards, Build self-service foundation, Design partner frameworks, Design partner tooling, Design partner documentation, Drive alignment with PBPs, Drive alignment with RecOps, Drive alignment with People Systems, Drive alignment with Finance, Define reporting cadence, Answer strategic people questions, Set people data craft standards, Review partner analytics work, Grow analytics capability, Use AI to automate workflows, Use AI to accelerate analysis, Use AI to scale impact", "teamCollaboration" : "Partner with Data Engineering; Partner with Security; Alignment across PBPs; Alignment with RecOps; Alignment with People Systems; Alignment with Finance", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "People analytics; HR systems; Workforce data; Employee lifecycle; Talent management", "domainList" : [ "people-analytics", "hr-systems", "workforce-data", "employee-lifecycle", "talent-management" ], "domainSpecificKnowledge" : [ "People analytics", "HR systems", "Workforce data", "Employee lifecycle", "Talent management" ], "toolProficiency" : [ "Snowflake", "Workday", "Ashby", "Envoy", "Culture Amp", "Looker", "Tableau", "Power BI" ], "communicationSkills" : "Executive presentations; Persuasive communication", "innovationCreativity" : "AI-first thinking", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Connect employee lifecycle into narrative; Show where talent thrives; Show where talent breaks down; Explain workforce trends; Intervene before issues scale; Surface risks before they scale; Help understand talent attraction; Help understand talent enablement; Help understand talent retention; Help understand talent risks; Shape exec-level decisions; Enable partner teams operate independently", "qualificationsBasic" : "7+ years people analytics, Build analytics functions from scratch, SQL complex queries, Cloud data warehouse experience, Workday HRIS experience, AI-native workflows", "qualificationsPreferred" : "High-growth tech company experience, Snowflake experience preferred, Looker, Tableau, or Power BI experience, ATS experience, Mentoring or upskilling partner teams", "remoteFriendly" : true, "rawDescription" : "WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW You'll be Harvey's founding People Data Analytics Lead — the technical leader for our people analytics function. You'll set the long-term direction for how we measure, model, and act on workforce data: building the data layer from scratch, defining the methodology others work from, and connecting the full employee lifecycle into a single, actionable view of how exceptional talent thrives at Harvey. The goal isn't just reporting — it's helping leaders understand why things are happening across the workforce and intervene before issues scale. This role sits within People Ops, with deep partnership across Total Rewards, Recruiting Ops, PBPs, People Systems, and Finance. WHAT YOU'LL DO - Build a cohesive view of Harvey's employee lifecycle — connecting recruiting, onboarding, engagement, performance, mobility, retention, and exits into a single, actionable narrative that shows where exceptional talent thrives or breaks down - Own the vision and roadmap for Harvey's people data infrastructure — partner with Data Engineering and Security to stand up the people data layer in Snowflake (or similar), define architecture requirements, and drive role-based access controls and data governance so the right people have the right access - Consolidate workforce data across Workday, Ashby, Envoy, Culture Amp, and other HR systems, and build the data quality frameworks that keep it trustworthy at scale - Define and maintain Harvey's people metrics dictionary — standardize how headcount, attrition, hiring, and workforce trends are measured across the org - Design the frameworks and methodologies that scale beyond v1 — forecast headcount, model attrition, segment the org, benchmark against market — built to explain not just what is happening but why - Move People Analytics beyond reporting into intervention — surface leading indicators, manager behaviors, operational friction, and emerging org risks before they become scaled people problems, and help Harvey understand what attracts, enables, retains, and risks losing exceptional talent - Build dashboards that give leadership clear visibility into the workforce, cuttable by org, region, and function — and shape exec-level decisions with the insights they surface - Build the self-service foundation that lets partner teams operate independently — design the frameworks, tooling, and documentation so that comp, PBPs, and other partners can surface their own insights without routing every question through analytics - Drive alignment across PBPs, RecOps, People Systems, and Finance to define reporting cadence and answer the questions that drive strategic people decisions - Set the bar for people data craft at Harvey — define standards, review work, and grow the analytics capability of partner teams - Use AI aggressively to automate workflows, accelerate analysis, and scale your impact — this is a role where AI-first thinking compounds fast WHAT YOU HAVE - 7+ years in people analytics, HR data, or workforce analytics, ideally at a high-growth tech company - Track record of building people analytics functions, frameworks, or methodologies from scratch — not just executing within an established one - Strong SQL — you can write complex queries, validate data quality, and collaborate fluently with data engineers on schema design and transformation logic - Hands-on experience with a cloud data warehouse (Snowflake strongly preferred) - Experience with at least one data viz tool (Looker, Tableau, Power BI, or similar) - Direct Workday (HRIS) and ATS experience; you understand how people data is structured in an HRIS and what breaks it - Experience mentoring or upskilling partner teams on data practices, dashboards, or self-serve reporting - AI-native workflows — you use AI tools daily, build with them, and use them as force multipliers - A self-starter attitude and the ability to thrive in ambiguous, fast-paced environments - Communicates persuasively with executives — frames data into recommendations leaders act on COMPENSATION $180,000 - $270,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-RB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai", "summaryDescription" : "People Data Analytics Lead at Harvey. Skills: People analytics, Data infrastructure, Workforce data modeling, AI automation. Build cohesive employee lifecycle view. Own people data infrastructure vision", "createdAt" : "2026-06-14T09:34:52.779", "lastUpdated" : "2026-06-15T08:49:22.899", "ingestTimestamp" : "2026-06-14T09:34:52.779", "mongoId" : "6a2cb07f74d8ee00a09da29d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 270000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data quality frameworks", "People metrics dictionary", "Headcount forecasting", "Attrition modeling", "Org segmentation", "Market benchmarking", "Leadership", "Mentoring", "People analytics", "Data infrastructure", "Workforce data modeling", "AI automation", "Data modeling", "Data governance", "Workforce analytics", "HR data", "Roadmap planning", "HR systems", "Workforce data", "Employee lifecycle", "Talent management", "Snowflake", "Workday", "Ashby", "Envoy", "Culture Amp", "Looker", "Tableau", "Power BI" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 564.8556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ce074d8ee00a094e8d5", "title" : "Hydrogen Ground Systems Liaison", "company" : "Heven AeroTech", "salary" : { "min" : 65000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sterling, Virginia, United States", "locations" : [ "Sterling", "Virginia", "United States" ], "timestamp" : "2026-06-16T07:31:58.398", "fingerprint" : "a4294b276e45f4b6a294c45cb5c614732becd49a1b10c5175056a6fcb2d8376a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hevenaerotech/jobs/4261849009", "externalId" : "4261849009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sterling", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.0036850,-77.4083096" } ], "locationText" : "Sterling, Virginia, United States", "employmentType" : "FULL_TIME", "rawDescription" : "Title: Hydrogen Ground Systems Liaison Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About Our Company: At Heven AeroTech (Heven), we don’t just believe in the power of people—we build our success on it. As a recognized leader in hydrogen-powered drones, we’ve earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust and a shared commitment to excellence. We believe great teams are built on individuals who are humble, hungry, and smart—those who put team success first, take initiative to continuously improve, and demonstrate strong interpersonal awareness. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact as you grow through hands-on experience and collaboration across the team. Role Summary: We are seeking a Hydrogen Ground Systems Liaison to support the deployment, demonstration, and field sustainment of our expeditionary hydrogen generation and fueling systems. This is a hands-on, customer-facing role that sits at the intersection of hydrogen technology, UAS operations, and military field environments. You will serve as the primary technical interface between Heven AeroTech's hydrogen engineering team and DoD end users — training operators, supporting demonstrations, and ensuring our systems perform reliably in austere and forward-deployed settings. This role is ideal for a candidate with a background in military logistics, special operations support, or defense systems fielding who is excited to be at the leading edge of hydrogen-powered UAV technology. Essential Responsibilities: Plan, coordinate, and execute live demonstrations of Heven AeroTech hydrogen ground systems for DoD customers, program offices, and operational units either as stand-alone systems or with UAS operations. Set up, operate, and safely shut down expeditionary hydrogen generation and fueling equipment (electrolyzers, compressors, storage, dispensing systems) in field and range environments Document demonstration results, anomalies, and customer feedback; provide written trip reports to the engineering and program management teams Develop and deliver hydrogen safety and operations training for DoD end users, operators, and maintainers Assist in the creation and maintenance of operator-level training materials including quick-reference cards, SOPs, and hands-on practical exercises Ensure training content is consistent with NFPA 2, OSHA, applicable DoD safety standards, and Heven AeroTech's internal hydrogen safety plan Track trainee certifications and maintain training records Serve as the day-to-day technical point of contact for assigned DoD customers and program offices regarding hydrogen ground systems Gather and communicate customer requirements, operational feedback, and field observations back to the Heven AeroTech engineering team Support program reviews, site visits, and government-led evaluations as the hydrogen ground systems subject matter expert Build and maintain strong working relationships with military counterparts, contracting officers, and program managers Work with hydrogen equipment vendors to understand best practices and maintenance procedures. Provide on-site technical support and troubleshooting for hydrogen generation, storage, and fueling systems at customer locations, including CONUS and potential OCONUS deployments Perform scheduled maintenance, inspections, and pre/post-operation checks on expeditionary hydrogen systems per established procedures Identify recurring field issues and work with the engineering team to develop corrective actions and procedure updates Maintain accurate field service records, equipment logs, and maintenance documentation Qualifications comfortable briefing military audiences from operator to senior leadership level Valid U. S. driver's license; ability to operate ground support vehicles and trailers Preferred: Prior U. S. military service, particularly in a logistics, engineer, aviation support, or special operations MOS/AFSC Familiarity with hydrogen, compressed gas, or hazardous materials handling in a field environment Experience with small UAS ground support operations or UAV fueling systems HAZMAT technician certification or familiarity with OSHA 29 CFR 1910.103 and NFPA 2 Experience developing and delivering technical training for military audiences Background in fuel cell systems, electrolyzer operation, or alternative energy systems Physical Requirements: Ability to lift, carry, push, and pull equipment and materials weighing up to 50 pounds unassisted and heavier loads with team assistance or material handling equipment Ability to safely operate in outdoor field, range, industrial, and expeditionary environments for extended periods, including exposure to heat, cold, wind, dust, rain, and uneven terrain Ability to stand, walk, kneel, crouch, climb, and work in confined or awkward positions during system setup, maintenance, fueling operations, and troubleshooting activities Ability to repeatedly load, unload, assemble, and disassemble hydrogen ground support equipment, hoses, fittings, cables, storage vessels, and associated field systems Ability to safely operate around compressed gases, pressurized systems, electrical equipment, and industrial machinery while adhering to OSHA, NFPA, and DoD safety protocols Ability to wear required personal protective equipment (PPE), including flame-resistant clothing, eye and hearing protection, gloves, respirators, and safety footwear, as required by operational conditions Ability to visually inspect equipment, read gauges and instrumentation, identify leaks or hazards, and distinguish color-coded indicators, warning lights, and labeling systems Ability to operate ground support vehicles, trailers, generators, and material handling equipment in field and austere environments Ability to travel frequently via commercial and military transportation, including CONUS and potential OCONUS deployments, sometimes on short notice Ability to work extended hours, weekends, or irregular schedules in support of demonstrations, testing events, military exercises, and operational fielding activities Ability to communicate clearly and effectively in high-noise operational environments and during field training or live demonstrations Must be capable of meeting all site access, medical, and safety requirements for military installations, government test ranges, and industrial facilities Benefits Overview: Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability. Equal Employment Opportunity Statement: Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law. Salary Range: $65,000—$100,000 USD", "summaryDescription" : "Hydrogen Ground Systems Liaison at Heven AeroTech", "postedDate" : "2026-06-14T20:07:37.957", "createdAt" : "2026-06-14T20:07:37.957", "lastUpdated" : "2026-06-16T07:31:58.398", "ingestTimestamp" : "2026-06-14T20:07:37.957", "mongoId" : "6a2c7ce074d8ee00a094e8d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 100000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 564.386, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051e4f292fd229cf08733", "title" : "Analytics Engineer II", "company" : "IVX Health", "industry" : "Healthcare", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Analytics Engineer II in Brentwood, United States, adjusted for mid-seniority and full-time employment in the healthcare industry." }, "location" : "Brentwood, Tennessee, United States", "locations" : [ "Brentwood", "Tennessee", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:47:04.386", "fingerprint" : "a1628a38e8414f926ebc4bdec3af02075abed7d76e903440bb105b41039cb5eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ivxhealth/jobs/4284144009", "externalId" : "4284144009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brentwood", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "36.0325687,-86.7825235" } ], "locationText" : "Brentwood, Tennessee, United States", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data warehousing", "ETL development", "Data pipeline development", "Database management", "Statistical modeling", "Machine learning implementation", "Data visualization", "Cloud computing" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, Machine learning", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "Machine learning" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Implement machine learning models, Create and maintain BI dashboards, Perform data analysis, Ensure data quality and integrity, Collaborate with stakeholders, Document data processes", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "3-5 years of experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "IVX Health is growing fast and on a mission to redefine the patient experience through high-quality care in a comfortable setting. As we grow rapidly, we’re seeking a talented Analytics Engineer II to join our collaborative team in the Brentwood/Nashville area. This hybrid role offers the best of both worlds: the energy of in-office collaboration at our vibrant headquarters paired with the flexibility of remote work. The ideal candidate will be a problem-solver with a strong background in data engineering and analytics, capable of designing scalable data models, building insightful dashboards, and delivering impactful business solutions in a fast-paced environment. About the Role As an Analytics Engineer II, you will play a key role on our Finance or comparable technical certification/training 3-5 years of experience in data engineering, specifically with the design, development, implementation, management, and support of data structures and the data flow lifecycle (including data maintenance, ETL and data governance considerations) Experience with healthcare analytics and concepts is preferred Tableau experience is strongly preferred Cloud data warehousing/administration is a plus About IVX Health IVX Health is a national provider of infusion and injection therapy for individuals managing chronic conditions like Rheumatoid Arthritis, Crohn's Disease, and Multiple Sclerosis. We’re transforming the way care is delivered with a focus on patient comfort and convenience. Our commitment to exceptional care extends to our employees as well—we empower our team to thrive while living our core values: Be Kind, Do What’s Right, Never Settle, Make It Happen, and Enjoy the Ride. Our Mission: To improve the lives of those we care for by redefining the care experience Our Vision: To be the nation’s preferred destination for pharmaceutical care of complex chronic conditions Our Commitment: To deliver an unmatched care experience with a foundation in world class service and clinical excellence Benefits We Offer Comprehensive Healthcare – Medical, dental, and vision coverage, including prescription drug plans and telemedicine services. Flexible Savings Options – Choose from Health Savings Accounts (HSA) and Health Reimbursement Arrangements (HRA) to manage healthcare costs. Supplemental Protection – Accident, critical illness, and hospital indemnity plans to provide additional financial security. Dependent Care FSA – Pre-tax savings for eligible childcare and dependent care expenses. 401(k) Retirement Plan – Secure your future with a competitive company match. Disability Coverage – Voluntary short-term and long-term disability plans to protect your income. Fertility and Family Support – Resources and benefits designed to support fertility care and family planning. Life and AD&D Insurance – Financial protection for you and your loved ones. Counseling and Wellness Support – Free resources to support emotional, physical, and financial well-being. Education Assistance – Tuition reimbursement and certification support to help you grow in your career. Continuing Education – Access to a CEU library for ongoing professional development. Charitable Giving and Volunteer Program – Matched donations and paid volunteer time off to support causes you care about. Employee Referral Bonus – Earn rewards for helping us find top talent. Note: Benefits may vary by employment type. Contact HR for details on eligibility and coverage. EEO STATEMENT IVX Health is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. IVX Health wants to have the best available people in every job, and we make employment decisions on the basis of business needs, job requirements, individual qualifications, and merit. Equal employment opportunities are provided to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, military and veteran status, age, physical or mental disability, genetic characteristic, reproductive health decisions, family or parental status, or any other legally protected category in accordance with applicable federal, state, or local laws. IVX Health prohibits discrimination, harassment, or retaliation of any kind based on any of these characteristics. Equal employment opportunity will be extended to all persons in all aspects of the employer-employee relationship and all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation benefits, and separation of employment. Privacy Policy", "summaryDescription" : "Analytics Engineer II at IVX Health. Skills: Data engineering, Analytics engineering, Machine learning. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T23:20:36.916", "createdAt" : "2026-06-15T23:20:36.916", "lastUpdated" : "2026-06-16T05:47:04.386", "ingestTimestamp" : "2026-06-15T23:20:36.916", "mongoId" : "6a3051e4f292fd229cf08733", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL development", "Data pipeline development", "Database management", "Statistical modeling", "Machine learning implementation", "Data visualization", "Cloud computing", "Data engineering", "Analytics engineering", "Machine learning", "Data modeling", "Statistical analysis", "Business intelligence", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 563.9706, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660374d8ee00a062b7a0", "title" : "Prime Air Ground Handler", "company" : "Amazon. com Services LLC", "industry" : "Fulfillment Associate, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 27.0, "max" : 27.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Richardson, Texas, USA", "locations" : [ "Richardson, Texas, USA" ], "timestamp" : "2026-06-16T02:25:59.165", "fingerprint" : "f13b7d7e478a3a0845d0f8bee28ac57ca4dcc765ac4d5e6541558ea78914c056", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444031/apply", "externalId" : "53de0662-b18c-4bbb-99b1-26e25c2ac71a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Richardson", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.9481789,-96.7297206" } ], "locationText" : "Richardson, Texas, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is revolutionizing delivery services through innovative drone technology. We're seeking an Autonomous Vehicle Assistant to support our drone delivery operations through ground support activities, basic operational tasks, and community engagement. Key job responsibilities * Support daily drone operations by handling and organizing equipment, including batteries and related components * Monitor airspace in the area of operations and report any potential hazards or obstacles * Assist with basic warehouse tasks including inventory management and package preparation * Execute standard operating procedures while maintaining safety and compliance standards * Engage positively with community members and address basic inquiries about our operations * Document and report operational activities using standard templates and tools * Safely and efficiently deliver packages to customers by car, ensuring on-time arrival, accurate handling, and providing excellent service while adhering to all traffic laws and company safety standards This role requires the ability to carry/lift up to 50 pounds, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach. In addition, this role requires the ability to work outside in various weather conditions. This role requires the ability to work any shift, including nights, weekends, and holidays This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA Basic Qualifications: - High School diploma or equivalent - Knowledge of basic mechanical aptitude and equipment troubleshooting - Experience working in a fast-paced, team environment - Can demonstrate strong attention to safety and ability to follow detailed procedures - Can travel to local sites up to 25% of the time - Can provide valid Drivers License - Experience troubleshooting and documenting findings - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach Preferred Qualifications: - FAA Part 107 Remote Pilot Certificate - Knowledge of aviation terminology and regulations - Experience in warehouse or logistics - Experience in aviation, aerospace, or drone operations 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 starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, TX, Richardson - 27.00 - 27.00 USD hourly", "summaryDescription" : "Prime Air Ground Handler at Amazon. com Services LLC", "postedDate" : "2026-06-14T19:40:23.250", "createdAt" : "2026-06-14T19:40:23.250", "lastUpdated" : "2026-06-16T02:25:59.165", "ingestTimestamp" : "2026-06-14T19:40:23.250", "mongoId" : "6a2a660374d8ee00a062b7a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10444031/apply", "salaryAnnualMin" : 56160, "salaryAnnualMax" : 56160, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 561.28046, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d436f74d8ee00a0b42c78", "title" : "Analytics Engineer", "company" : "Talkiatry", "industry" : "Corporate & Technology", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:39:18.348", "fingerprint" : "80a5b9c4f60caa00439c58f46a2b90c6f31a7713267f5aa17b8aeff93742efab", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/talkiatry/75a5f6d7-bf9f-40a5-bde3-87e2d8ff8ad3/application", "externalId" : "75a5f6d7-bf9f-40a5-bde3-87e2d8ff8ad3", "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", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Business intelligence", "Data warehousing", "Statistical analysis", "Machine learning", "AI", "Quantitative analysis", "Data visualization", "Cloud data platforms", "ML frameworks", "BI platforms" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data cleaning", "Database management", "Algorithm development", "Model deployment", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL processes, Create and manage data warehouses, Develop business intelligence dashboards, Perform statistical analysis, Build and deploy machine learning models, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Troubleshoot data-related issues, Stay updated on emerging data technologies", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses, Experience with data visualization tools, Experience with ML frameworks, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "rawDescription" : "We are looking for an Analytics Engineer to join a team dedicated to building the governed data foundation that powers decision-making across Talkiatry. You'll work alongside a collaborative team of engineers to design and maintain reliable, well-documented data models that stakeholders can trust and explore independently. ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: - Build and maintain clean, scalable, well-documented data models using dbt, Snowflake, and Databricks that serve as the trusted foundation for decision-making across the org - Partner with stakeholders to understand business questions and translate them into governed, reusable data products — not one-off reports - Contribute to a self-service analytics environment where stakeholders can independently explore data through well-structured, reliable models - Adhere to and help evolve our data governance, data quality, and documentation standards - Support dashboard and reporting needs where appropriate, with an emphasis on enabling stakeholders rather than building on their behalf - Collaborate with data and engineering teams to ensure data products are integrated into the broader product and engineering development process from the start YOUR QUALIFICATIONS: - 2 to 3 years of experience in Analytics Engineering, Data Engineering, or a closely related role - Proficient SQL skills with a working understanding of data modeling concepts (star schema, slowly changing dimensions, grain) - Hands-on experience with dbt and a cloud data warehouse such as Snowflake or BigQuery - Familiarity with at least one BI or data exploration tool such as Omni, Looker, or Tableau - A bias toward building reusable, documented, and governed data products over ad hoc solutions - Exposure to working cross-functionally with non-technical stakeholders to understand business needs - Clear communication skills with the ability to explain data concepts and trade-offs to a range of audiences WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.", "summaryDescription" : "Analytics Engineer at Talkiatry. Skills: Data engineering, Analytics engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. 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S. citizen or national, U. S. permanent resident, Lawfully admitted refugee, Granted asylum, Extended travel up to 25%", "qualificationsBasic" : "5+ years mechanical engineering, Experience with prototyping, Experience with implemn", "qualificationsPreferred" : "Satellite processing experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. The Project Engineer - Ground Support Equipment is the technical expert in design and operation of launch site ground support equipment (GSE). This role interfaces directly with launch site engineers and management to understand GSE needs for new and existing processing facilities. Additionally, the Project Engineer - Ground Support Equipment will develop cost estimations, lead procurement, manage vendors, run design reviews, and establish acceptance criteria for maintaining and commission hardware. This position is responsible for designs and managing all phases for new and existing ground support equipment in support of Kuiper launch operations. The ideal candidate is comfortable in a highly technical setting and leads collaboration with other departments to reach the best solution to any problem. The candidate will have extensive experience with mechanical, pneumatic and electrical system development for GSE, with particular focus on satellite processing. Key job responsibilities • Design and manage GSE through development and build cycles to support launch operations. • Coordinate with launch operations personnel to understand operational requirements and develop GSE to meet those requirements. • Develop and approve specifications for performance, fabrication, acceptance test and maintenance. • Manage external partners to ensure GSE meets specifications and timelines. • Establish technical documentation for maintenance and proofload requirements. • Perform analysis (hand calculations and finite element analysis) to support design. • Design and analysis of concept CAD models using Siemens NX and Femap. • Maintain and report on equipment schedule, budget, and technical status. • Implement and continuously improve GSE operations. • Assembly, integration, and test takt time and cost optimization planning. • Shift schedule will vary, depending on production/launch schedules • Must be willing and able to perform extended travel up to 25% annually, either domestically or internationally as business needs demand. A day in the life The GSE Engineer will spend significant amounts of time collaborating with engineering, quality, and manufacturing teams to determine GSE needs. They will be responsible for maintaining hardware to support operations. They will lead GSE efforts at the launch sites and address root cause of failures and issues, implement corrective actions and hardware modifications. We are a fast-paced, data-driven team, and work with leaders in multiple technology areas to deliver the best product for our customers. We hold each other to relentlessly high standards, and constantly look for ways to improve the product’s performance, quality and cost. We are excited about the technical challenges, which motivates us rather than discourages us. We dive deep to find root cause and implement solutions to ensure long term reliability. We want individuals who are ready for this challenge and want to reach beyond what is possible today. About the team Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people. We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Basic Qualifications: - 5+ years of working in mechanical engineering or equivalent experience - Experience with prototyping and implementation - Experience in the design of complex mechanical products and equipment at volume Preferred Qualifications: - BS degree in mechanical engineering or equivalent - Experience with working hands-on in mechanical engineering, troubleshooting and improvement of mechanical equipment 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 $105,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Project Engineer - Ground Support Equipment at Amazon Kuiper Infrastructure LLC. Skills: Ground support equipment, Satellite processing, Mechanical design. Design GSE. Manage GSE development", "postedDate" : "2026-06-13T20:15:50.565", "createdAt" : "2026-06-13T20:15:50.565", "lastUpdated" : "2026-06-15T04:45:34.793", "ingestTimestamp" : "2026-06-13T20:15:50.565", "mongoId" : "68c2e42cf8b1b0376634c708", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073890/apply", "salaryAnnualMin" : 105600, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Hand calculations", "Finite element analysis", "Leadership", "Ground support equipment", "Satellite processing", "Mechanical design", "Cost estimation", "Procurement management", "Vendor management", "Design reviews", "Acceptance criteria", "Technical documentation", "Root cause analysis", "Corrective actions", "Hardware modifications", "Schedule management", "Budget management", "Launch operations", "Siemens NX", "Femap" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 559.48737, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad605", "title" : "Build Engineer", "company" : "Wizards of the Coast", "industry" : "Media", "salary" : { "min" : 124800.0, "max" : 162700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Renton, Washington, United States", "locations" : [ "Renton", "Washington", "United States" ], "timestamp" : "2026-06-15T10:01:39.253", "fingerprint" : "46399946f09933a7fc5cf0e6c89df7e57809acebff591fc1087225060ffd2a35", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4252695009", "externalId" : "4252695009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Renton", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.4799078,-122.2034496" } ], "locationText" : "Renton, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Unreal Engine, C++, C#, Python, Bash, AWS, Git", "professionalSkills" : [ "Build systems design", "Pipeline tooling", "Automation frameworks", "CI/CD development", "Perforce administration", "Infrastructure management", "Observability standards", "Maintainability standards" ], "hardSkillsList" : [ "Build engineering", "Compile pipelines", "Packaging pipelines", "Automation scripting", "Perforce branching", "Workspace automation", "SDK integration", "Infrastructure as code", "Pipelines as code", "GitOps" ], "hardSkills" : [ { "name" : "Build engineering", "level" : "intermediate" }, { "name" : "Compile pipelines", "level" : "intermediate" }, { "name" : "Packaging pipelines", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Perforce branching", "level" : "intermediate" }, { "name" : "Workspace automation", "level" : "intermediate" }, { "name" : "SDK integration", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" }, { "name" : "Pipelines as code", "level" : "intermediate" }, { "name" : "GitOps", "level" : "intermediate" } ], "majorSkills" : "Unreal Engine, CI/CD, Build engineering, Automation", "majorSkillsList" : [ "Unreal Engine", "CI/CD", "Build engineering", "Automation" ], "coreResponsibilities" : "Design Unreal Engine build systems, Build pipeline tooling, Develop automation frameworks, Evolve Horde ecosystem, Customize engine and tooling, Manage plugin integration, Develop CI/CD pipelines, Maintain CI/CD pipelines, Support Perforce environments, Administer Perforce streams, Configure Perforce workspaces, Write Perforce trigger scripts, Investigate build failures, Resolve cook errors, Fix packaging issues, Define pipeline standards, Set observability standards, Set maintainability standards, Partner with studios, Mentor studio engineers, Adopt shared systems, Extend shared systems, Innovate build technologies, Innovate engine tooling, Innovate AI workflows", "teamCollaboration" : "Game development teams; Central Technology Build Engineering; Internal game studios; Studio engineers", "domainKnowledge" : "Unreal Engine; Game engine workflows; Multi-platform builds; Cloud-native architecture", "domainList" : [ "unreal-engine", "game-engine-workflows", "multi-platform-builds", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Unreal Engine", "Game engine workflows", "Multi-platform builds", "Cloud-native architecture" ], "toolProficiency" : [ "Unreal Engine", "UBT", "UAT", "Perforce", "Jenkins", "BuildGraph", "TeamCity", "GitHub Actions", "AWS" ], "innovationCreativity" : "Innovate with emerging build technologies; Innovate engine tooling; Innovate AI-assisted developer workflows", "problemSolvingSkills" : "Investigate and resolve build failures; Resolve cook errors; Fix packaging issues", "qualificationsBasic" : "Unreal Engine internals experience, Build scripts and automation experience, CI/CD pipelines experience, Perforce administration experience, Multi-platform build targets familiarity, AWS infrastructure management experience, Infrastructure as code experience, Pipelines as code experience, GitOps practices experience", "qualificationsPreferred" : "AI-assisted developer workflows", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering®, the rich storytelling of Dungeons & Dragons®, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. Do you have the passion and expertise to shape the tools and pipelines that power great games? We are seeking a Build Engineer to join our Central Technology Build Engineering team as we develop and curate an Unreal Engine ecosystem to share across our internal game studios. You will join a specialized team responsible for unblocking developers, ensuring build stability, and optimizing iteration workflows across multiple concurrent titles. This is a hands-on IC role where engineering excellence meets operational reliability. You’ll collaborate closely with game development teams to ensure a seamless experience for all Unreal-powered studios under our banner. In this role, you will design, build, and maintain the compile and packaging pipelines, automation frameworks, and engine tooling that keep our studios moving fast. What You’ll Do: Work with the team to design a ready-made suite of Unreal Engine build systems, pipeline tooling, and automation frameworks shared across studios Own and evolve our Unreal Engine Horde ecosystem — including engine and tooling customizations, and plugin management Develop, maintain, and improve CI/CD pipelines for compile, cook, package, and submission workflows across multiple platforms (PC, console, mobile) Support and administer studio-specific Perforce environments, including stream management, workspace configuration, and trigger scripts Investigate and resolve build failures, cook errors, and packaging issues in close partnership with game teams and engine programmers Define standards and best practices for performance, observability, and maintainability of build pipelines Act as a technical partner and mentor to studio engineers, helping teams adopt and extend shared systems effectively Innovate with emerging build technologies, engine tooling, and AI-assisted developer workflows What You’ll Bring: Deep, hands-on experience with Unreal Engine internals — including UBT, UAT, the cook and packaging pipeline, and plugin/module architecture Proven ability to write and maintain build scripts and automation in C++, C#, Python, or Bash in the context of game engine workflows Experience building and maintaining CI/CD pipelines for game projects (e.g., Jenkins, BuildGraph, TeamCity, GitHub Actions, or similar) Administration experience or expert knowledge with Perforce, including branching strategies and workspace automation Familiarity with multi-platform build targets (Windows, PlayStation, Xbox, Nintendo Switch, or mobile) and platform SDK integration Comfortable working with and managing AWS infrastructure Experience with infrastructure as code, pipelines as code, and gitops practices Strong ability to build trust and clarity in communication with technical and non-technical audiences Exposure to Agile/SCRUM methodologies • Bachelor’s degree in computer science or equivalent experience At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. #Wizards  The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $124,800—$162,700 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Build Engineer at Wizards of the Coast. Skills: Unreal Engine, CI/CD, Build engineering, Automation. Design Unreal Engine build systems. Build pipeline tooling", "postedDate" : "2026-06-14T05:03:32.962", "createdAt" : "2026-06-14T05:03:32.962", "lastUpdated" : "2026-06-15T10:01:39.253", "ingestTimestamp" : "2026-06-14T05:03:32.962", "mongoId" : "6a2ca3ba74d8ee00a09ad605", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 124800, "salaryAnnualMax" : 162700, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Build engineering", "Compile pipelines", "Packaging pipelines", "Automation scripting", "Perforce branching", "Workspace automation", "SDK integration", "Infrastructure as code", "Pipelines as code", "GitOps", "Unreal Engine", "CI/CD", "Automation", "Build systems design", "Pipeline tooling", "Automation frameworks", "CI/CD development", "Perforce administration", "Infrastructure management", "Observability standards", "Maintainability standards", "Game engine workflows", "Multi-platform builds", "Cloud-native architecture", "UBT", "UAT", "Perforce", "Jenkins", "BuildGraph", "TeamCity", "GitHub Actions", "AWS" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 558.645, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c91bf74d8ee00a098405c", "title" : "Senior Build Engineer", "company" : "Amca", "industry" : "Manufacturing", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Senior Build Engineer in El Segundo, United States, with adjustments for seniority, industry, and company size." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-16T03:17:36.950", "fingerprint" : "0d7a1d67d6bde4a8cedda6e55c86ca43066613d7ceeff9b67bd9055fd9eacafe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/amca/jobs/4227278009", "externalId" : "4227278009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CAD, PLM, PDM", "professionalSkills" : [ "First principles thinking", "DFM feedback" ], "hardSkillsList" : [ "Mechanical design", "Manufacturing processes", "Geometric dimensioning tolerancing" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Geometric dimensioning tolerancing", "level" : "intermediate" } ], "majorSkills" : "Build engineering, Manufacturing processes, Product development", "majorSkillsList" : [ "Build engineering", "Manufacturing processes", "Product development" ], "coreResponsibilities" : "Own prototyping, Own first builds, Work with Design Engineering teams, Challenge requirements, Take ownership of manufacturing, Take ownership of build, Prototype new components, Work with Test Engineering teams, Assist in creating test tooling, Ensure new designs are manufacturable, Implement DFM feedback, Manage tooling configurations, Provide feedback to engineering teams, Support build processes, Support manufacturing processes, Assist with equipment selection, Assist with equipment onboarding, Own manufacturing processes, Support factory diligence, Support company development, Evaluate product catalogs, Determine opportunities for catalog expansion, Assist in evaluation of factory designs, Assist in evaluation of manufacturing engineering, Expand manufacturing capabilities", "teamCollaboration" : "Design Engineering teams; Test Engineering teams; Cross functional engineering teams", "domainKnowledge" : "Aerospace standards", "domainList" : [ "aerospace-standards" ], "domainSpecificKnowledge" : [ "Aerospace standards" ], "toolProficiency" : [ "CAD", "PLM/PDM systems" ], "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Experience with mechanical design, Experience with manufacturing processes, Proficient in CAD, Proficient in PLM/PDM systems, Proficient in geometric dimensioning and tolerancing", "qualificationsPreferred" : "Experience applying first-principles thinking to structural constraints, Experience applying first-principles thinking to thermal constraints, Experience applying first-principles thinking to material constraints, Experience applying first-principles thinking to production constraints", "workSiteFlexibility" : "Onsite", "rawDescription" : "Amca is building America’s new industrial base. Since the 1990s, our ability to build new aviation and military systems and maintain the ones we already have has eroded. Today, the gap between what the nation needs to produce and what it is capable of producing is the largest it has been in generations. To help close that gap, Amca rapidly develops and manufactures new critical components and subsystems required to build and sustain the planes, military vehicles, and core infrastructure America needs. Today, we operate seven factories nationwide, including our advanced prototyping and testing headquarters in El Segundo, and deliver avionics, hydraulic, and electrical components for platforms such as the F-35, F-16, F/A-18, 737MAX, 787, A320neo, A321, Mk-48, and M1 Abrams. Overview: You will take new product designs and bring them to life. You will concurrently design Amca products and manufacturing processes with the Design and Test Engineering teams. You’ll provide engineering knowledge to quickly execute new product designs and manufacture them at our production facilities to expand Amca’s product catalog. Responsibilities: Own prototyping and first builds of new hardware designs Work with Design Engineering teams to understand end-use applications and challenge requirements as needed Take full ownership of manufacturing and build of new product designs Prototype new components with manufacturability, integration, and performance as core constraints Work with Test Engineering teams to assist in creating any test tooling needed Work closely with Design Engineers to ensure that new designs are manufacturable at production facilities, and that DFM feedback is implemented Manage tooling configurations (drawing revisions, BOM structure, and part configuration) in accordance with aerospace standards and internal design and documentation controls Provide continuous feedback to Amca engineering teams to ensure that are products and processes fully optimized for reliability and cost Support build and manufacturing processes in our internal shops Assist with equipment selection and equipment onboarding Own manufacturing processes as the subject matter expert Support Amca with factory diligence and company development Evaluate product catalogs to help determine where the largest opportunities lie for catalog expansion Assist in the evaluation of factory designs and manufacturing engineering Work with cross functional engineering teams to expand manufacturing capabilities Qualifications: Exceptionally curious and fast learner. Able to contribute across diverse part categories and manufacturing processes. Demonstrated ability to use engineering first principles to challenge and simplify requirements. Hands-on and practical - comfortable building, testing, and troubleshooting in real-world environments. Independent and creative; thrives with ownership and minimal oversight. Experience with mechanical design as well as manufacturing processes, applying first-principles thinking to structural, thermal, material and production constraints. Proficient in CAD, PLM/PDM systems, geometric dimensioning and tolerancing (GD or. any individual who is granted U. S. permanent residence (\"Green Card\" holder); or. any individual who is granted status as a \"protected person\" under 8 U.S.C 1324b(a)(3). The Advanced Manufacturing Company of America prohibits discrimination or harassment based on the following categories: race, color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, age (40 years and over), sexual orientation, veteran and/or military status, protected medical leaves (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), domestic violence victim status, political affiliation, and any other status protected by state or federal law.", "summaryDescription" : "Senior Build Engineer at Amca. Skills: Build engineering, Manufacturing processes, Product development. Own prototyping. Own first builds", "postedDate" : "2026-06-14T20:12:38.346", "createdAt" : "2026-06-14T20:12:38.346", "lastUpdated" : "2026-06-16T03:17:36.950", "ingestTimestamp" : "2026-06-14T20:12:38.346", "mongoId" : "6a2c91bf74d8ee00a098405c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Manufacturing processes", "Geometric dimensioning tolerancing", "Build engineering", "Product development", "First principles thinking", "DFM feedback", "Aerospace standards", "CAD", "PLM/PDM systems" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 551.1621, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056caf292fd229cf2ec11", "title" : "Analytics Engineer", "company" : "Dashlane", "industry" : "SaaS", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Analytics Engineer in Paris, France, adjusted for mid-seniority in the technology industry." }, "location" : "Paris, France", "locations" : [ "Paris", "France" ], "timestamp" : "2026-06-16T08:18:32.514", "fingerprint" : "fff1cba27d816a1cae570db6f050f666615963834c8e243aa36d1b19925db66b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dashlane/jobs/7988501", "externalId" : "7988501", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, AWS, Redshift, S3, Lambda, Kinesis, Glue, Airflow, GitLab, Claude Code", "professionalSkills" : [ "Data modeling", "Data transformation", "AI integration" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "AI tooling" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "AI tooling", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, AI implementation", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "AI implementation" ], "coreResponsibilities" : "Uncover true business need, Drive alignment on initiatives, Take ownership of initiatives, Integrate GenAI tooling, Accelerate development with AI, Mentor organisation on AI tools", "teamCollaboration" : "Collaborative team environment", "domainKnowledge" : "Credential security", "domainList" : [ "credential-security" ], "domainSpecificKnowledge" : [ "Credential security" ], "toolProficiency" : [ "Dbt", "Airflow", "GitLab", "Claude Code" ], "continuousLearning" : "Value learning", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Untangle complex data puzzles", "outcomesObjectives" : "Drive efficiency with AI; Drive creativity with AI; Drive impact with AI", "qualificationsBasic" : "Fluent in English, 5+ years experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Dashlane Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally. We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner. About the role: At Dashlane, we believe that data is an engine of growth and the voice of our customer. We are looking for a Analytics Engineer to join our collaborative and impact-driven Data you uncover the true business need, drive alignment, and take proactive ownership of initiatives from end to end. You are an \"AI Champion.\" You are fluent with AI coding platforms such as Claude Code and you already have demonstrated experience integrating modern GenAI tooling into your day-to-day analytics workflow to accelerate development, and you are eager to mentor the rest of the organisation on these tools. You thrive in an autonomous, high-exposure environment and have a relentless curiosity to untangle complex data puzzles. You are fluent in English: verbal and written. Our Tech Stack: Data Modeling & Transformation: dbt Programming Languages: SQL, Python Data Platform: AWS (Redshift, S3, Lambda, Kinesis, Glue) BI & Visualisation: Omni Orchestration: Airflow CI/CD & Version Control: GitLab AI: Claude Code What Dashlane offers you: Flex Benefits - allocate a monthly amount to a pool of benefits Health insurance covered by Dashlane 5 extra vacation days each year, plus your birthday off Company wide well-being days (one per quarter) Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption Work schedule exemption - plan your work schedule in alignment with your manager Donation matching program - Dashlane will match your donations to organizations driving positive impact in historically marginalized communities Access mental health services through Spring Health, available for you and your family members Team building & social events - weekly lunch in the office and monthly happy hour and much more Diversity, Equity, Inclusion and Belonging at Dashlane: As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here. Your interview experience: To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.", "summaryDescription" : "Analytics Engineer at Dashlane. Skills: Data engineering, Analytics engineering, AI implementation. Uncover true business need. Drive alignment on initiatives", "postedDate" : "2026-06-15T23:20:00.195", "createdAt" : "2026-06-15T23:20:00.195", "lastUpdated" : "2026-06-16T08:18:32.514", "ingestTimestamp" : "2026-06-15T23:20:00.195", "mongoId" : "6a3056caf292fd229cf2ec11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Business intelligence", "AI tooling", "Data engineering", "Analytics engineering", "AI implementation", "Data modeling", "Data transformation", "AI integration", "Credential security", "Dbt", "Airflow", "GitLab", "Claude Code" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 548.36206, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660174d8ee00a062b71b", "title" : "Prime Air Ground Handler", "company" : "Amazon.com Services LLC", "industry" : "Fulfillment Associate, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 20.0, "max" : 40.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Stone Mountain, Georgia, USA", "locations" : [ "Stone Mountain, Georgia, USA" ], "certifications" : [ "FAA Part 107 Remote Pilot Certificate" ], "timestamp" : "2026-06-15T05:49:17.586", "fingerprint" : "e4e58e638d5998afa6b84493e7e781d855b24431708d82476432f295704ad24a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444186/apply", "externalId" : "82fc9c00-058b-4b78-97de-b7669081551b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stone Mountain", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.8062166,-84.1457505" } ], "locationText" : "Stone Mountain, Georgia, United States", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Equipment troubleshooting" ], "hardSkills" : [ { "name" : "Equipment troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Drone operations, Ground support", "majorSkillsList" : [ "Drone operations", "Ground support" ], "coreResponsibilities" : "Support daily drone operations, Handle equipment, Organize equipment, Monitor airspace, Report potential hazards, Assist with warehouse tasks, Manage inventory, Prepare packages, Execute standard operating procedures, Maintain safety standards, Maintain compliance standards, Engage positively with community members, Address basic inquiries, Document operational activities, Report operational activities, Deliver packages to customers by car, Ensure on-time arrival, Ensure accurate handling, Provide excellent service, Adhere to traffic laws, Adhere to company safety standards", "teamCollaboration" : "Fast-paced team environment", "domainKnowledge" : "Aviation terminology; Aviation regulations", "domainList" : [ "aviation-terminology", "aviation-regulations" ], "domainSpecificKnowledge" : [ "Aviation terminology", "Aviation regulations" ], "communicationSkills" : "Address basic inquiries", "documentationSkills" : "Document operational activities", "problemSolvingSkills" : "Equipment troubleshooting", "specialRequirements" : "Carry/lift up to 50 pounds, Stand/walk up to 12 hours, Push, pull, squat, bend, reach, Work outside in various weather, Work any shift, Work nights, weekends, holidays, Work in variable noise levels, Work in variable temperatures, Work in refrigerated environments, Up to 25% travel, DOT drug and alcohol testing, Export control license may be required", "qualificationsBasic" : "High School diploma or equivalent, Basic mechanical aptitude, Equipment troubleshooting knowledge, Fast-paced, team environment experience, Attention to safety, Ability to follow detailed procedures, Travel to local sites up to 25%, Valid Drivers License", "qualificationsPreferred" : "FAA Part 107 Remote Pilot Certificate, Aviation terminology knowledge, Aviation regulations knowledge, Warehouse experience, Logistics experience, Aviation operations experience, Aerospace operations experience, Drone operations experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is revolutionizing delivery services through innovative drone technology. We're seeking an Autonomous Vehicle Assistant to support our drone delivery operations through ground support activities, basic operational tasks, and community engagement. Key job responsibilities * Support daily drone operations by handling and organizing equipment, including batteries and related components * Monitor airspace in the area of operations and report any potential hazards or obstacles * Assist with basic warehouse tasks including inventory management and package preparation * Execute standard operating procedures while maintaining safety and compliance standards * Engage positively with community members and address basic inquiries about our operations * Document and report operational activities using standard templates and tools * Safely and efficiently deliver packages to customers by car, ensuring on-time arrival, accurate handling, and providing excellent service while adhering to all traffic laws and company safety standards This role requires the ability to carry/lift up to 50 pounds, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach. In addition, this role requires the ability to work outside in various weather conditions. This role requires the ability to work any shift, including nights, weekends, and holidays This role requires work in an environment where the noise level varies and is subject to variable temperatures and weather (outside temperature, and include refrigerated environments) This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA Basic Qualifications: - High School diploma or equivalent - Knowledge of basic mechanical aptitude and equipment troubleshooting - Experience working in a fast-paced, team environment - Can demonstrate strong attention to safety and ability to follow detailed procedures - Can travel to local sites up to 25% of the time - Can provide valid Drivers License Preferred Qualifications: - FAA Part 107 Remote Pilot Certificate - Knowledge of aviation terminology and regulations - Experience in warehouse or logistics - Experience in aviation, aerospace, or drone operations 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 starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, GA, Stone Mountain - 20.00 - 40.00 USD hourly", "summaryDescription" : "Prime Air Ground Handler at Amazon.com Services LLC. Skills: Drone operations, Ground support. Support daily drone operations. Handle equipment", "postedDate" : "2026-06-13T14:36:55.709", "createdAt" : "2026-06-13T14:36:55.709", "lastUpdated" : "2026-06-15T05:49:17.586", "ingestTimestamp" : "2026-06-13T14:36:55.709", "mongoId" : "6a2a660174d8ee00a062b71b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10444186/apply", "salaryAnnualMin" : 41600, "salaryAnnualMax" : 83200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment troubleshooting", "Drone operations", "Ground support", "Aviation terminology", "Aviation regulations", "FAA Part 107 Remote Pilot Certificate" ], "skillCount" : 6, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 545.64014, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3051ccf292fd229cf06f05", "title" : "Manager - Analytics", "company" : "Glance", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager - Analytics in Bangalore, India, adjusted for the technology industry and company size." }, "location" : "Bangalore, Karnataka, India", "locations" : [ "Bangalore", "Karnataka", "India" ], "timestamp" : "2026-06-16T07:42:17.077", "fingerprint" : "baa5b03b4592b8424c3cd5750aa62b69c77846415fe485b6022b97405e16a04b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/glance/jobs/7984361", "externalId" : "7984361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "experienceLevel" : "Manager", "rawDescription" : "Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. What is the role about? Manager Analytics is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders. What will you be doing? You will model data in order to create reporting infrastructure/dashboards for business process management and data mining You will be closely working with the business/product teams to enable data driven decision making. You will execute quantitative analysis that translates data into actionable insights You will drive data driven decision making through the stakeholders You will influence new opportunities for business based on internal/ external data You will drive the team to adopt new and innovative ways of solving business problems What is expected out of you? Educational/ Work Qualifications Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 5+ Years of experience in advanced analytics, python scripting. Required abilities / competencies: Ability to breakdown any problem into components that can be collaboratively solved Ability to negotiate on the scope of the problem through business understanding Penchant for business and persistence to work with data to derive insights Experience in analyzing very large, complex, multi-dimensional data sets Ability to find innovative solutions to mitigate dependencies and risks for deliverables Ability to independently plan and execute deliveries Exceptional written and verbal communication skills Ability to multitask and work on a diverse range of requirements Technical capabilities: Expertise in SQL, Excel, other scripting languages (R, Python, etc.) Good background in statistical modelling and experience with statistical tools such as R, Python, Spark Working experience with BI tools(Power BI, Superset) \"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email.\"", "summaryDescription" : "Manager - Analytics at Glance", "postedDate" : "2026-06-15T23:19:48.062", "createdAt" : "2026-06-15T23:19:48.062", "lastUpdated" : "2026-06-16T07:42:17.077", "ingestTimestamp" : "2026-06-15T23:19:48.062", "mongoId" : "6a3051ccf292fd229cf06f05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 541.123, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30507bf292fd229cef0b60", "title" : "Software Engineer, Infrastructure", "company" : "Aaru", "industry" : "Technical Staff", "salary" : { "min" : 200000.0, "max" : 440000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "NYC", "locations" : [ "NYC" ], "timestamp" : "2026-06-16T11:55:53.631", "fingerprint" : "45dd830d27861e9978321f8b0901eb5d3cd56f66705a11e1b34a19f7349f39b9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aaru/37355842-4a2f-4633-bbd8-1ebb7afc974c/application", "externalId" : "37355842-4a2f-4633-bbd8-1ebb7afc974c", "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", "technicalSkills" : "Compute, Networking, Storage, Cloud primitives, HTTP, TLS, TCP", "professionalSkills" : [ "System design", "Performance debugging", "Reliability engineering" ], "hardSkillsList" : [ "Large-scale simulations", "Data ingestion", "Computation pipelines", "Distributed systems" ], "hardSkills" : [ { "name" : "Large-scale simulations", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Computation pipelines", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "majorSkills" : "Infrastructure engineering, Distributed systems, Cloud computing", "majorSkillsList" : [ "Infrastructure engineering", "Distributed systems", "Cloud computing" ], "coreResponsibilities" : "Design and build low-latency, high-throughput infrastructure, Improve reliability and performance of data ingestion and, Identify system bottlenecks across compute, networking, storage, and, Build tools and abstractions that help engineering and, Productionize experimental research workflows into reliable, repeatable infrastructure, Own infrastructure decisions from architecture through implementation and", "teamCollaboration" : "Fast-growing engineering teams; Engineering and research teams", "domainKnowledge" : "Predictive intelligence; AI; Human behavior simulation; Agent-based modeling; Distributed systems; Cloud infrastructure; Machine learning workloads", "domainList" : [ "predictive-intelligence", "ai", "human-behavior-simulation", "agent-based-modeling", "distributed-systems", "cloud-infrastructure", "machine-learning-workloads" ], "domainSpecificKnowledge" : [ "Predictive intelligence", "AI", "Human behavior simulation", "Agent-based modeling", "Distributed systems", "Cloud infrastructure", "Machine learning workloads" ], "innovationCreativity" : "Build systems that enable simulations to run faster, more reliably, and at greater scale; Remove bottlenecks from Aaru's core engineering and research workflows; Build tools and abstractions that help engineering and research teams move faster; Productionize experimental research workflows into reliable, repeatable infrastructure", "problemSolvingSkills" : "Identify system bottlenecks; Debug performance and reliability issues", "qualificationsBasic" : "Built infrastructure, frameworks, or internal platforms, Deep experience debugging performance and reliability issues, Comfortable working close to networking, storage, compute, and cloud primitives, Helped transition research or experimental systems into production, Care about developer experience, Comfortable with strongly typed languages or languages with algebraic type systems", "qualificationsPreferred" : "Experience with long-running computational pipelines, Knowledge of networking protocols such as HTTP, TLS, TCP, or related systems, Experience designing infrastructure for high-scale data or machine learning workloads, Track record of finding and eliminating bottlenecks in complex systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT AARU Aaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners work with us for many reasons: they leverage Aaru to refine strategy in volatile geopolitical climates, cut new product innovation timelines from months to minutes, and deploy marketing campaigns that win in an era where consumers have never been harder to understand. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time. We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust, and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together. ABOUT THE ROLE As an infrastructure engineer at Aaru, you will build the systems that enable our simulations to run faster, more reliably, and at greater scale. You will work across compute, networking, data pipelines, and developer tooling to remove bottlenecks from Aaru's core engineering and research workflows. RESPONSIBILITIES - Design and build low-latency, high-throughput infrastructure for large-scale simulations - Improve the reliability and performance of data ingestion and computation pipelines - Identify system bottlenecks across compute, networking, storage, and orchestration - Build tools and abstractions that help engineering and research teams move faster - Productionize experimental research workflows into reliable, repeatable infrastructure - Own infrastructure decisions from architecture through implementation and operation YOU MAY BE A FIT IF - You have built infrastructure, frameworks, or internal platforms for fast-growing engineering teams - You have deep experience debugging performance and reliability issues in distributed systems - You are comfortable working close to networking, storage, compute, and cloud primitives - You have helped transition research or experimental systems into production - You care about developer experience and build systems that other engineers want to use - You are comfortable with strongly typed languages or languages with algebraic type systems STRONG CANDIDATES MAY ALSO HAVE - Experience with long-running computational pipelines - Strong knowledge of networking protocols such as HTTP, TLS, TCP, or related systems - Experience designing infrastructure for high-scale data or machine learning workloads - A track record of finding and eliminating bottlenecks in complex systems LOCATION This role is based in New York City. Aaru is an in-person company, and the team works in-office five days a week. Candidates are expected to be located within the New York City metropolitan area or open to relocation. BENEFITS At Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.", "summaryDescription" : "Software Engineer, Infrastructure at Aaru. Skills: Infrastructure engineering, Distributed systems, Cloud computing. Design and build low-latency, high-throughput infrastructure. 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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: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: The gross annual salary for this position ranges from €104,000 to €130,000 depending on your skills, and experience. But we are also open to discussing the salary further, taking into account your expertise and contributions. MELP - flexible benefit app (50 EUR per month accruing) (does not include Health Insurance) 25 days paid annual leave 3 paid days off for volunteering or L&D activities Parental Leave days (according to statutory) Family-Friendly Leave (according to statutory + extended from Tide) Personal L&D budget in the amount of 500 EUR per year Mental wellbeing platform Plumm WFH equipment allowance Sabbatical Leave Share options Team Events 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" : "Head of Product Analytics at Tide. Skills: Product Analytics, Data Science, Machine Learning, Business Intelligence. Develop and maintain analytics dashboards. 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tools", "teamCollaboration" : "Software development teams; Data science teams; Clinical teams; Informatics teams; Cross-functional teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Regulated research environment; Healthcare research; HIPAA compliance", "domainList" : [ "regulated-research-environment", "healthcare-research", "hipaa-compliance" ], "domainSpecificKnowledge" : [ "Regulated research environment", "Healthcare research", "HIPAA compliance" ], "toolProficiency" : [ "Terraform", "Pulumi", "GitHub Actions", "Google Cloud Build", "Prometheus", "Grafana", "Kubernetes" ], "communicationSkills" : "Technical documentation; Clear technical documentation", "documentationSkills" : "Technical documentation; Runbooks; Architecture diagrams", "continuousLearning" : "Stay current with cloud technology trends; Evaluate new tools and approaches", "innovationCreativity" : "Evaluate new tools and approaches", "problemSolvingSkills" : "Troubleshoot and resolve issues", "qualificationsBasic" : "Bachelor's degree in Computer Science, Cloud engineering experience, Infrastructure engineering experience, Linux administration, Infrastructure as code experience, CI/CD pipelines experience, Cloud networking knowledge, Metrics collection experience, Operational dashboards experience, Scripting or automating infrastructure tasks, Written communication skills, Verbal communication skills, Technical documentation production", "qualificationsPreferred" : "Healthcare or life sciences experience, HIPAA compliance knowledge, GCP-native observability tooling experience, Prometheus/Grafana experience, Cloud IAM best practices experience, Security controls experience, Front-end application hosting infrastructure experience, Google Cloud Professional certification, Containerization technologies familiarity, Kubernetes exposure", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Cloud Infrastructure Engineer At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a Cloud Infrastructure Engineer to join our team. You will be responsible for designing, implementing, and maintaining cloud-based infrastructure and automation to meet the evolving needs of our organization. The ideal candidate has hands-on cloud engineering experience, is proficient with infrastructure as code, and is comfortable owning cloud networking, compute, and deployment pipelines in a regulated research environment. A key part of this role is serving as the infrastructure platform support layer for our software development and data science teams — helping them build, deploy, and observe their work reliably and at scale. You will collaborate closely with our development, data science, clinical, and informatics teams to deliver scalable, secure, and reliable infrastructure on Google Cloud Platform (GCP). KEY ACTIVITIES Design and implement cloud infrastructure on GCP using infrastructure as code Manage cloud networking components including VPCs, load balancers, DNS, Cloud Router, NAT, and firewall rules Manage and optimize cloud compute resources including GCE instances, Cloud Run, and related services Build and maintain CI/CD pipelines using tools such as GitHub Actions or Google Cloud Build to support reliable, repeatable deployments Design and maintain observability infrastructure including metrics collection, log aggregation, and dashboards to surface actionable insights for engineering and research teams Implement and maintain security and compliance controls appropriate to a regulated healthcare research environment Manage cloud services including backup and disaster recovery Support deployment and maintenance of internal applications and their underlying infrastructure Champion containerization best practices and support containerized workload deployments Collaborate with cross-functional teams to ensure seamless integration with existing systems and workflows Troubleshoot and resolve cloud infrastructure and deployment issues Create and maintain clear technical documentation, runbooks, and architecture diagrams Stay current with cloud technology trends and evaluate new tools and approaches relevant to the organization MUST HAVES Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Experience in cloud engineering, infrastructure engineering, or a closely related role Strong proficiency with GCP; equivalent experience with AWS or Azure will be considered Linux administration and comfort working in Linux-based environments via command line Hands-on experience with infrastructure as code with Terraform and or Pulumi Demonstrated experience building and maintaining CI/CD pipelines (GitHub Actions, Google Cloud Build, or similar) Solid understanding of cloud networking: VPC design, load balancers, DNS, NAT, and firewall rule management Hands-on experience with metrics collection and building operational dashboards Experience scripting or automating infrastructure tasks in Python or a similar language Strong written and verbal communication skills with an ability to produce clear technical documentation Ability to work both independently and collaboratively within a cross-functional team NICE TO HAVES Experience in a healthcare or life sciences environment; working knowledge of HIPAA compliance requirements Experience with GCP-native observability tooling (Cloud Monitoring, Cloud Logging) in addition to Prometheus/Grafana Experience with cloud IAM best practices and security controls (VPC Service Controls, service accounts, least-privilege patterns) Experience with front-end application hosting infrastructure (load balancers, SSL/TLS termination, CDN) Google Cloud Professional certification (Cloud Architect, DevOps Engineer, or similar) Familiarity with containerization technologies, primarily Docker; Kubernetes exposure is a plus but not required WHY YOU’LL LOVE REFINED SCIENCE Team + Values At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage. Our Values Act with Purpose – We believe in rigor through deliberate and thoughtful actions Be Curious – Curiosity is the spark that ignites innovation and growth Take Ownership – True ownership leads to pride and commitment in the work we do Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success Embrace Agility – We celebrate agile thinking, resilience, and adaptability WHAT WE OFFER The target salary range is $110,000 to $130,000 annually. Base pay offered may vary within the posted range based on several factors, including but not limited to education, job-related knowledge, skills, experience, and location. BENEFITS Medical, Dental and Vision insurance Life, AD&D, Short-term and Long-term Disability Insurance (none is100% covered) HSA Spending Accounts 22 Vacation days 10 Paid Holidays and Sick Time (120 hours per year) 401(K) Plan", "summaryDescription" : "Cloud Infrastructure Engineer at RefinedScience. Skills: Cloud Infrastructure, Infrastructure as Code, CI/CD, GCP. Design cloud infrastructure on GCP. Implement cloud infrastructure on GCP", "postedDate" : "2026-06-16T01:21:04.442", "createdAt" : "2026-06-16T01:21:04.442", "lastUpdated" : "2026-06-16T11:59:18.472", "ingestTimestamp" : "2026-06-16T01:21:04.442", "mongoId" : "6a308757f292fd229c087fde", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cloud networking", "Compute resource management", "Deployment pipeline management", "Observability infrastructure design", "Security control implementation", "Containerization best practices", "Infrastructure automation", "Independent work", "Collaborative work", "Cloud Infrastructure", "Infrastructure as Code", "CI/CD", "GCP", "Infrastructure platform support", "Scalable deployments", "Secure infrastructure", "Reliable infrastructure", "Containerized workload deployments", "Cross-functional collaboration", "Technical documentation", "Architecture diagrams", "Agile", "Regulated research environment", "Healthcare research", "HIPAA compliance", "Google Cloud Professional certification", "Terraform", "Pulumi", "GitHub Actions", "Google Cloud Build", "Prometheus", "Grafana", "Kubernetes" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 534.7353, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116c41", "title" : "Join Our Talent Community", "company" : "Gallup", "location" : "Australia; 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Germany; India; Japan; Mexico; New Zealand; Singapore; Thailand; United Arab Emirates; United Kingdom; United States", "rawDescription" : "Join our Talent Community and set up job alerts to hear from us about future roles that may interest you.", "summaryDescription" : "Join Our Talent Community at Gallup", "postedDate" : "2026-06-16T03:17:14.248", "createdAt" : "2026-06-16T03:17:14.248", "lastUpdated" : "2026-06-16T11:15:42.315", "ingestTimestamp" : "2026-06-16T03:17:14.248", "mongoId" : "6a30a1e0f292fd229c116c41", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 527.4289, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.0 }, { "id" : "6a3065baf292fd229cfaadca", "title" : "Constellation Software Engineer, Infrastructure", "company" : "WindBorne Systems", "industry" : "Atlas Engineering", "salary" : { "min" : 130000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "RWC HQ", "locations" : [ "RWC HQ" ], "timestamp" : "2026-06-16T11:26:34.323", "fingerprint" : "46b70a6cf7d4c25663038353b86a3742c674aba02215f8aa7d66650eb9e7e125", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/windborne-systems/1bd96c4d-86e4-45cb-b9d1-f910a356fbef/application", "externalId" : "1bd96c4d-86e4-45cb-b9d1-f910a356fbef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood Shores", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5318804,-122.2480219" } ], "locationText" : "Redwood Shores, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Ruby on Rails, Postgres", "professionalSkills" : [ "System design" ], "hardSkillsList" : [ "Data pipeline integrity", "Flight operations", "Automations" ], "hardSkills" : [ { "name" : "Data pipeline integrity", "level" : "intermediate" }, { "name" : "Flight operations", "level" : "intermediate" }, { "name" : "Automations", "level" : "intermediate" } ], "majorSkills" : "Infrastructure software, Data processing, 24/7 uptime systems", "majorSkillsList" : [ "Infrastructure software", "Data processing", "24/7 uptime systems" ], "coreResponsibilities" : "Build robust infrastructure, Build robust applications, Handle business-critical needs, Scale up Atlas around the globe, Keep constellation in the air, Own core infrastructure, Own data pipeline integrity, Ensure pipeline is reliable, Ensure pipeline is tamper-evident, Ensure pipeline is correctly permissioned, Architect core infrastructure, Support projects requiring clearance", "teamCollaboration" : "Hardware teams; Operations teams; Flight control teams", "domainKnowledge" : "Weather forecasts; Atmospheric data; Low-latency software systems", "domainList" : [ "weather-forecasts", "atmospheric-data", "low-latency-software-systems" ], "domainSpecificKnowledge" : [ "Weather forecasts", "Atmospheric data", "Low-latency software systems" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "On-call, Work on U. S. government contracts, Work on export-controlled systems", "qualificationsBasic" : "Built and shipped full-stack applications, Responsible for 24/7 uptime systems, Handle on-call, Structure database and service infrastructure, Push low-latency software systems to full limit, Work in-person in Redwood Shores, CA, Eligibility for a U. S. security clearance, Be a U. S. citizen", "qualificationsPreferred" : "Fluency and comfort working with Ruby on Rails, Ability to quickly and pragmatically learn on the job, Implement pragmatic best practices forged from real-world, experienced pain, Clear understanding of constraints down to the metal", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WindBorne Systems is supercharging weather forecasts with a unique proprietary data source: a global constellation of next-generation smart weather balloons targeting the most critical atmospheric data. We design, manufacture, and operate our own balloons, using the data they collect to generate otherwise unattainable weather intelligence. We're hiring a Constellation Infrastructure Software Engineer to scale and build up the mission critical systems that drive our planetary nervous system. You will be responsible for building up robust infrastructure and applications that can handle business-critical needs around flight operations and automations, data processing, and other operational demands to scale up Atlas around the globe. We are a small team handling all the software that keeps our entire constellation in the air. Development speed and robustness/security/stability are not mutually exclusive; we value pragmatic decisions, high autonomy, low egos, and a willingness to get your hands muddy in the dirt. This is a 24/7 uptime system and the heartbeat of the company. You will have immediate ownership and the opportunity to proactively drive software solutions with our hardware, operations, and flight control teams. What you'd own: - Core infrastructure around manufacturing, launch, flight, internal tools, and data processing. - Data pipeline integrity — Balloon observations flow from satellite downlinks through processing workers into customer-facing APIs. Ensuring this pipeline is reliable, tamper-evident, and correctly permissioned is as important as making it fast. - Architecting core infrastructure to support projects requiring clearance. You'd be a good fit if you: - Have built and shipped full-stack applications — fluency and comfort working with Ruby on Rails, Postgres, or ability to quickly and pragmatically learn on the job. - You’ve been responsible for 24/7 uptime systems. You can implement pragmatic best practices forged from real-world, experienced pain of handling such a system. You have the responsibility to handle on-call paired with the lazy engineer’s desire to clean up systems to minimize getting called as much as possible - Clear understanding of constraints down to the metal and ability. Ability to structure database and service infrastructure to push low-latency software systems to full limit. - Want to work in-person in Redwood Shores, CA with a small team where your decisions have immediate, visible impact Note: Parts of this role may involve work on U.S. government contracts or export-controlled systems. This can require eligibility for a U.S. security clearance or to be a U.S. citizen. BENEFITS - 401(k) - Health, Dental, and Vision insurance 100% covered - Unlimited PTO - Incentive Stock Option Plan - Office food and beverages (minimum 2x catered lunches & dinners a week) SALARY $130k-$180k** We are considering a range of backgrounds and experience levels for this position and adjust our offers accordingly to be competitive with market rates. LOCATION 1600 Bridge Parkway, Redwood Shores, CA. In person required.", "summaryDescription" : "Constellation Software Engineer, Infrastructure at WindBorne Systems. Skills: Infrastructure software, Data processing, 24/7 uptime systems. Build robust infrastructure. Build robust applications", "createdAt" : "2026-06-16T00:24:38.921", "lastUpdated" : "2026-06-16T11:26:34.323", "ingestTimestamp" : "2026-06-16T00:24:38.921", "mongoId" : "6a3065baf292fd229cfaadca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline integrity", "Flight operations", "Automations", "Infrastructure software", "Data processing", "24/7 uptime systems", "System design", "Weather forecasts", "Atmospheric data", "Low-latency software systems" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 526.33136, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad615", "title" : "Data Analytics Manager", "company" : "Hasbro", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:13:43.590", "fingerprint" : "259771a41afffa415d14f4530898ec10a1175559576952377e5c4e411be76c58", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249885009", "externalId" : "4249885009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "R, Python, SQL", "professionalSkills" : [ "Knowledge of and familiarity with games such as Magic: The Gathering." ], "hardSkillsList" : [ "R", "Python", "SQL" ], "softSkillsList" : [ "Self-directed, attention to detail" ], "hardSkills" : [ { "name" : "R", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed, attention to detail" } ], "majorSkills" : "Data Analysis, Team Leadership, SQL, R, Python", "majorSkillsList" : [ "Data Analysis, Team Leadership, SQL, R, Python" ], "coreResponsibilities" : "Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "teamCollaboration" : "Collaborate with product strategy, sales, finance, business strategy, and economics. Partner with economists and financial analysts. Incorporate stakeholder feedback into analytics. Work with technical teams to evaluate and communicate data needs. Lead a team of 3-5 other data analysts.", "projectManagementSkills" : [ "drive projects to completion", "prioritize stakeholder requests" ], "communicationSkills" : "clear visuals; concise communication; communicate data needs", "documentationSkills" : "document processes", "continuousLearning" : "Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.", "problemSolvingSkills" : "pricing; inventory; revenue recognition; business strategies; areas of growth", "outcomesObjectives" : "Support the strategy of our worldwide teams making and build your career.", "qualificationsBasic" : "Bachelor's degree in finance, business, data science, economics, or another quantitative field. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail.", "qualificationsPreferred" : "Graduate degree is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! This role will partner closely with product strategy, sales, finance, business strategy, and economics to support Magic: The Gathering's growth! Through your reporting and insights, you will support the strategy of our worldwide teams making and build your career. What You'll Do: Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines. Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers. Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used. Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available. Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data. What You'll Bring: Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail. Knowledge of and familiarity with games such as Magic: The Gathering. We are an Equal Opportunity Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #WIZARDS The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900—$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Data Analytics Manager at Hasbro. Skills: Data Analysis, Team Leadership, SQL, R, Python. Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "postedDate" : "2026-06-14T18:44:24.507", "createdAt" : "2026-06-14T18:44:24.507", "lastUpdated" : "2026-06-15T10:13:43.590", "ingestTimestamp" : "2026-06-14T18:44:24.507", "mongoId" : "6a2ca3ba74d8ee00a09ad615", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "R", "Python", "SQL", "Self-directed, attention to detail", "Data Analysis, Team Leadership, SQL, R, Python", "Knowledge of and familiarity with games such as Magic: The Gathering.", "drive projects to completion", "prioritize stakeholder requests" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 525.8045, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc41d74d8ee00a0a0c142", "title" : "Prime Air Ground Handler", "company" : "Amazon. com Services LLC", "industry" : "Supply Chain/Transportation Management, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 27.0, "max" : 27.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ruskin, Florida, USA", "locations" : [ "Ruskin, Florida, USA" ], "timestamp" : "2026-06-15T07:58:57.395", "fingerprint" : "49e63855ccc38679cc97f2c157bbedc72bc387c7161583cc231cdacd82201efa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439342/apply", "externalId" : "b919b385-77fd-4820-8141-ff0a7dd65a5a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ruskin", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.7013603,-82.4237980" } ], "locationText" : "Ruskin, Florida, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Equipment troubleshooting", "Inventory management", "Package preparation" ], "hardSkillsList" : [ "Mechanical aptitude" ], "hardSkills" : [ { "name" : "Mechanical aptitude", "level" : "intermediate" } ], "majorSkills" : "Drone operations support, Ground support activities, Community engagement", "majorSkillsList" : [ "Drone operations support", "Ground support activities", "Community engagement" ], "coreResponsibilities" : "Support daily drone operations, Handle and organize equipment, Monitor airspace, Report potential hazards, Assist with warehouse tasks, Prepare packages, Execute standard operating procedures, Maintain safety standards, Maintain compliance standards, Engage positively with community, Address basic inquiries, Document operational activities, Report operational activities, Deliver packages to customers, Ensure on-time arrival, Ensure accurate handling, Provide excellent service, Adhere to traffic laws, Adhere to safety standards", "teamCollaboration" : "Fast-paced team environment", "domainKnowledge" : "Drone technology", "domainList" : [ "drone-technology" ], "domainSpecificKnowledge" : [ "Drone technology" ], "communicationSkills" : "Address basic inquiries", "documentationSkills" : "Document operational activities; Report operational activities", "problemSolvingSkills" : "Equipment troubleshooting; Troubleshooting", "specialRequirements" : "Carry/lift up to 50 lbs, Stand/walk up to 12 hours, Work outside in various weather, Work any shift, Work nights, weekends, holidays, Up to 25% travel, DOT drug and alcohol testing, Export control license requirement", "qualificationsBasic" : "High School diploma or equivalent, Basic mechanical aptitude, Equipment troubleshooting knowledge, Fast-paced team environment experience, Attention to safety, Follow detailed procedures, Travel to local sites, Valid Drivers License, Troubleshoot and document findings, Carry/lift up to 50 lbs, Stand/walk during shifts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is revolutionizing delivery services through innovative drone technology. We're seeking an Autonomous Vehicle Assistant to support our drone delivery operations through ground support activities, basic operational tasks, and community engagement. Key job responsibilities * Support daily drone operations by handling and organizing equipment, including batteries and related components * Monitor airspace in the area of operations and report any potential hazards or obstacles * Assist with basic warehouse tasks including inventory management and package preparation * Execute standard operating procedures while maintaining safety and compliance standards * Engage positively with community members and address basic inquiries about our operations * Document and report operational activities using standard templates and tools * Safely and efficiently deliver packages to customers by car, ensuring on-time arrival, accurate handling, and providing excellent service while adhering to all traffic laws and company safety standards This role requires the ability to carry/lift up to 50 pounds, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach. In addition, this role requires the ability to work outside in various weather conditions. This role requires the ability to work any shift, including nights, weekends, and holidays This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA Basic Qualifications: - High School diploma or equivalent - Knowledge of basic mechanical aptitude and equipment troubleshooting - Experience working in a fast-paced, team environment - Can demonstrate strong attention to safety and ability to follow detailed procedures - Can travel to local sites up to 25% of the time - Can provide valid Drivers License - Experience troubleshooting and documenting findings - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach Preferred Qualifications: - FAA Part 107 Remote Pilot Certificate - Knowledge of aviation terminology and regulations - Experience in warehouse or logistics - Experience in aviation, aerospace, or drone operations 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 starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, FL, Ruskin - 27.00 - 27.00 USD hourly", "summaryDescription" : "Prime Air Ground Handler at Amazon. com Services LLC. Skills: Drone operations support, Ground support activities, Community engagement. Support daily drone operations. Handle and organize equipment", "postedDate" : "2026-06-13T21:22:22.157", "createdAt" : "2026-06-13T21:22:22.157", "lastUpdated" : "2026-06-15T07:58:57.395", "ingestTimestamp" : "2026-06-13T21:22:22.157", "mongoId" : "6a2cc41d74d8ee00a0a0c142", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439342/apply", "salaryAnnualMin" : 56160, "salaryAnnualMax" : 56160, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Mechanical aptitude", "Drone operations support", "Ground support activities", "Community engagement", "Equipment troubleshooting", "Inventory management", "Package preparation", "Drone technology" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 522.8914, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305148f292fd229cefdcba", "title" : "Head of Product Analytics", "company" : "Tide", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Head of Product Analytics in Sofia, Bulgaria, adjusted for executive seniority in the FinTech industry." }, "location" : "Sofia", "locations" : [ "Sofia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:34:48.179", "fingerprint" : "3fa85252a780f7a5d2808dd7365375c6e25a9a99ab3dd1cf4f7630276001beda", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7773338003", "externalId" : "7773338003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Statistical analysis", "Data modeling", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data models, Build and optimize data pipelines, Design and implement ML models, Create dashboards and reports, Perform statistical analysis, Conduct A/B tests, Collaborate with stakeholders, Mentor junior analysts", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams", "domainKnowledge" : "Financial services; Payment systems", "domainList" : [ "financial-services", "payment-systems" ], "domainSpecificKnowledge" : [ "Financial services", "Payment systems" ], "toolProficiency" : [ "Dbt", "Airflow", "MLflow" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Data dictionaries; Model documentation", "continuousLearning" : "Attend conferences; Online courses", "innovationCreativity" : "Explore new technologies; Develop novel solutions", "problemSolvingSkills" : "Root cause analysis; Data interpretation", "outcomesObjectives" : "Drive data-informed decisions; Improve product performance; Enhance customer experience", "qualificationsBasic" : "5+ years experience in analytics, SQL proficiency, Experience with data visualization tools", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "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: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: The gross annual salary for this position ranges from €104,000 to €130,000 depending on your skills, and experience. But we are also open to discussing the salary further, taking into account your expertise and contributions. MELP - flexible benefit app (50 EUR per month accruing) (does not include Health Insurance) 25 days paid annual leave 3 paid days off for volunteering or L&D activities Parental Leave days (according to statutory) Family-Friendly Leave (according to statutory + extended from Tide) Personal L&D budget in the amount of 500 EUR per year Mental wellbeing platform Plumm WFH equipment allowance Sabbatical Leave Share options Team Events 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" : "Head of Product Analytics at Tide. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data models. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:16:47.533", "createdAt" : "2026-06-15T23:16:47.533", "lastUpdated" : "2026-06-16T06:34:48.179", "ingestTimestamp" : "2026-06-15T23:16:47.533", "mongoId" : "6a305148f292fd229cefdcba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Statistical analysis", "Data modeling", "Experiment design", "Causal inference", "Financial services", "Payment systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Airflow", "MLflow" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 522.58014, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "693072a870f0b99d58ffb899", "title" : "Infrastructure TPM, Infra Capacity Delivery", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Tech Infrastructure Prgrm Mgmt, Cloud Computing", "salary" : { "min" : 114400.0, "max" : 205500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T03:17:44.663", "fingerprint" : "863390a6b233236ddd66cad9c593c5ff37c4a687b605a652f7cac0e0a7830ade", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3134475/apply", "externalId" : "03df409e-5a5f-45ab-8368-8a8a4ef5ef7d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, MS Project, Asana, Tableau", "professionalSkills" : [ "Technical program management", "Strategic program management", "Capital budget management", "Supply chain management" ], "hardSkillsList" : [ "Mechanical engineering concepts", "Electrical engineering concepts" ], "softSkillsList" : [ "Leadership", "Negotiation", "Influence without authority", "Judgment", "Analytical talent", "Technical aptitude", "Trust building" ], "hardSkills" : [ { "name" : "Mechanical engineering concepts", "level" : "intermediate" }, { "name" : "Electrical engineering concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Influence without authority" }, { "name" : "Judgment" }, { "name" : "Analytical talent" }, { "name" : "Technical aptitude" }, { "name" : "Trust building" } ], "majorSkills" : "Infrastructure delivery, Data center build, Project management", "majorSkillsList" : [ "Infrastructure delivery", "Data center build", "Project management" ], "coreResponsibilities" : "Oversee data center build projects, Lead cross-functional teams, Lead technical teams, Manage conceptual design feasibility, Manage requirements definition, Manage budget definition, Manage completed design, Manage implementation, Manage testing, Manage deployment, Manage remote project delivery teams, Facilitate technical whiteboard sessions, Troubleshoot project implementation issues, Remove barriers to project success, Stand up cross-functional teams, Establish trust with stakeholders, Eliminate non-value-add activity, Design solutions, Remove blockers, Accelerate project delivery, Manage capital budgets", "teamCollaboration" : "Cross-functional teams; Diverse stakeholders; Multiple time zones", "projectManagementSkills" : [ "Scope management", "Schedule management", "Budget management", "Resource management", "Quality management", "Risk management", "Reporting", "Metric development", "Metric tracking", "Tactical project management", "Strategic program management", "Project lifecycle management" ], "domainKnowledge" : "Data center infrastructure; Mechanical engineering; Electrical engineering; Hardware engineering; Software engineering; Network engineering; Cloud infrastructure; Infrastructure builds", "domainList" : [ "data-center-infrastructure", "mechanical-engineering", "electrical-engineering", "hardware-engineering", "software-engineering", "network-engineering", "cloud-infrastructure", "infrastructure-builds" ], "domainSpecificKnowledge" : [ "Data center infrastructure", "Mechanical engineering", "Electrical engineering", "Hardware engineering", "Software engineering", "Network engineering", "Cloud infrastructure", "Infrastructure builds" ], "toolProficiency" : [ "MS Project", "Asana", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Exceptional communicator", "continuousLearning" : "Knowledge sharing; Mentorship; Career development", "innovationCreativity" : "Bold ideas; Creative ways to accelerate delivery", "problemSolvingSkills" : "Troubleshoot project implementation; Remove blockers; Work through ambiguity", "outcomesObjectives" : "Provide infinite capacity; Lowest possible cost", "qualificationsBasic" : "3+ years technical infrastructure management, Experience with infrastructure builds, Knowledge of infrastructure best practices, 6+ years project management disciplines, Scope, schedule, budget management, Quality, risk, critical path management", "qualificationsPreferred" : "Experience designing data center facilities, Experience constructing data center facilities, Experience with colocation data centers, Experience with client-owned data centers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We’re seeking an experienced Infrastructure Technical Program Manager in Herndon or Arlington, VA to oversee data center build projects in the Northern Virginia region. You will lead cross-functional and technical teams from conceptual design feasibility through requirements, budget, completed design, implementation, testing, and deployment. Along the way, you will use your judgment, negotiation skills, ability to influence without authority, analytical talent, technical aptitude, and leadership to collaborate with a diverse set of stakeholders across multiple time zones, manage capital budgets, eliminate non-value-add activity, design solutions, remove blockers, and find creative ways to accelerate project delivery. The candidate must be comfortable managing remote project delivery teams, and possess the ability to facilitate technical whiteboard sessions to troubleshoot project implementation issues, and remove barriers to project success. Being able to stand up cross-functional teams, establish trust with a variety of stakeholders across multiple time zones, manage capital budgets, eliminate non-value-add activity, design solutions, remove blockers, and find creative ways to accelerate project delivery is a must. The ideal candidate will be an exceptionally strong communicator, both written and verbally, and possess experience in tactical project management of highly technical initiatives, as well as strategic program management. They will be able to apply a variety of project management tools, methodologies and techniques for all phases of the project lifecycle and exhibit demonstrated experience in core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking. Experience with MS Project, Asana, Tableau, and systems integration a plus. The candidate will work through ambiguity, competing priorities, and be capable of understanding mechanical/electrical engineering concepts. Experience in managing data center infrastructure deployments is a plus. Candidates possessing a background in architecture/design, mechanical/electrical engineering, software/hardware engineering, data center infrastructure/operations, and/or construction, who have transitioned to a program management discipline will have a distinct advantage. If you enjoy the challenges of deploying highly technical and innovative projects at massive scale, this job is for you! About the team 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. Amazon 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. 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 in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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. 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. Amazon 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. 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 in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. 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. #DCPD_Delivery Basic Qualifications: - 3+ years of technical infrastructure management experience - Experience with varying scenarios of infrastructure builds - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - 6+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience Preferred Qualifications: - Experience directly related to the design or construction of large data center facilities, either colocation or client owned/operated 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 $114,400/year in our lowest geographic market up to $205,500/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" : "Infrastructure TPM, Infra Capacity Delivery at Amazon Data Services, Inc.. Skills: Infrastructure delivery, Data center build, Project management. Oversee data center build projects. Lead cross-functional teams", "postedDate" : "2026-06-13T09:13:57.296", "createdAt" : "2026-06-13T09:13:57.296", "lastUpdated" : "2026-06-15T03:17:44.663", "ingestTimestamp" : "2026-06-13T09:13:57.296", "mongoId" : "693072a870f0b99d58ffb899", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3134475/apply", "salaryAnnualMin" : 114400, "salaryAnnualMax" : 205500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical engineering concepts", "Electrical engineering concepts", "Leadership", "Negotiation", "Influence without authority", "Judgment", "Analytical talent", "Technical aptitude", "Trust building", "Infrastructure delivery", "Data center build", "Project management", "Technical program management", "Strategic program management", "Capital budget management", "Supply chain management", "Scope management", "Schedule management", "Budget management", "Resource management", "Quality management", "Risk management", "Reporting", "Metric development", "Metric tracking", "Tactical project management", "Project lifecycle management", "Data center infrastructure", "Mechanical engineering", "Electrical engineering", "Hardware engineering", "Software engineering", "Network engineering", "Cloud infrastructure", "Infrastructure builds", "MS Project", "Asana", "Tableau" ], "skillCount" : 38, "jobCategory" : "project-management", "dataQualityScore" : 0.8888889, "_score" : 521.57947, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a21a1e674d8ee00a0ca226f", "title" : "New Build Mortgage Advisor", "company" : "OneDome", "industry" : "Real Estate", "salary" : { "min" : 35000.0, "max" : 55000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Mortgage Advisor in the United Kingdom, adjusted for the real estate industry and remote work." }, "location" : "Manchester, GB", "locations" : [ "Manchester", "GB" ], "timestamp" : "2026-06-15T07:21:18.175", "fingerprint" : "5c473e0b38025aaacfa1313a7a9f3968c1c3ad8faf57f4ac6dd0b1f78ecbecb6", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://onedome.breezy.hr/p/be33f11686de01-new-build-mortgage-advisor", "externalId" : "be33f11686de01", "industryFunction" : { }, "structuredLocations" : [ { "state" : "North West England", "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" }, { "state" : "North East England", "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "North West England, United Kingdom; North East England, United Kingdom", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure" ], "majorSkills" : "New build mortgage", "majorSkillsList" : [ "New build mortgage" ], "coreResponsibilities" : "Deliver great advice, Grow your business", "domainKnowledge" : "New build mortgages; Mortgage protection", "domainList" : [ "new-build-mortgages", "mortgage-protection" ], "domainSpecificKnowledge" : [ "New build mortgages", "Mortgage protection" ], "qualificationsBasic" : "New build experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "New Build Mortgage & Protection Advisor (Self-Employed) \uD83D\uDCCD Remote | North West England or North East England based Are you an ambitious broker with new build experience looking to grow your business faster? If you’re delivering great advice but your commission split feels capped, admin is taki", "summaryDescription" : "New Build Mortgage Advisor at OneDome. Skills: New build mortgage. Deliver great advice. Grow your business", "createdAt" : "2026-06-14T06:44:19.248", "lastUpdated" : "2026-06-15T07:21:18.175", "ingestTimestamp" : "2026-06-14T06:44:19.248", "mongoId" : "6a21a1e674d8ee00a0ca226f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "New build mortgage", "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "New build mortgages", "Mortgage protection" ], "skillCount" : 7, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 520.84705, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306fd5f292fd229cfed7f4", "title" : "Software Engineer, Core Infrastructure", "company" : "Stripe", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Sydney, Australia, adjusted for the FinTech industry and a large company size." }, "location" : "Sydney, New South Wales, Australia", "locations" : [ "Sydney", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T13:45:12.405", "fingerprint" : "c7681816b1e41eab6b79768fedfb8371ea5e4a744e42a74d25eb11fb210860d5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://stripe.com/jobs/search?gh_jid=7975725", "externalId" : "7975725", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Cloud infrastructure, Platform services, Distributed systems, Operating system primitives, AWS, Azure, GCP, Oracle Cloud, Go, Rust, C/C++, Linux OS, Kubernetes, Container orchestration, Mesh networking, Service discovery", "professionalSkills" : [ "System design", "Roadmap planning", "Prioritization" ], "hardSkillsList" : [ "Distributed systems", "Operating system primitives", "Observability practices", "Performance optimization", "Kernel-level troubleshooting", "Container mechanics" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Operating system primitives", "level" : "intermediate" }, { "name" : "Observability practices", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Kernel-level troubleshooting", "level" : "intermediate" }, { "name" : "Container mechanics", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Cloud infrastructure, Platform services, Observability", "majorSkillsList" : [ "Distributed systems", "Cloud infrastructure", "Platform services", "Observability" ], "coreResponsibilities" : "Design distributed cloud infrastructure, Build distributed cloud infrastructure, Maintain distributed cloud infrastructure, Build platform services, Maintain platform services, Scale infrastructure services, Automate infrastructure services, Ensure reliability of infrastructure services, Improve observability of infrastructure services, Operate services, Debug issues, Support customers, Participate in roadmap planning, Participate in prioritization", "teamCollaboration" : "Collaboration with product teams; Collaboration with various teams; Collaboration with external partners; Collaboration with open source community", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Financial infrastructure; Distributed systems; Cloud infrastructure; Operating system primitives; Container orchestration; Mesh networking; Service discovery", "domainList" : [ "financial-infrastructure", "distributed-systems", "cloud-infrastructure", "operating-system-primitives", "container-orchestration", "mesh-networking", "service-discovery" ], "domainSpecificKnowledge" : [ "Financial infrastructure", "Distributed systems", "Cloud infrastructure", "Operating system primitives", "Container orchestration", "Mesh networking", "Service discovery" ], "toolProficiency" : [ "Kubernetes" ], "problemSolvingSkills" : "Debugging distributed systems; Diagnosing low-level resource constraints; Troubleshooting", "qualificationsBasic" : "3+ years of professional experience, Experience building, deploying, and managing infrastructure on a major cloud provider, Engineering background in building platform services and/or distributed systems at scale, Solid grasp of underlying operating system primitives, Experience developing, maintaining, and debugging distributed systems, Diagnosing low-level resource constraints, Experience with operational excellence, Modern observability practices", "qualificationsPreferred" : "Experience with popular cloud technologies, Experience with Go or other systems languages, Experience with Linux OS internals, Performance optimization experience, Kernel-level troubleshooting experience, Experience working with Kubernetes clusters, Low-level container mechanics experience, Experience in networking and traffic systems at scale, Experience handling critical incidents for production systems", "remoteFriendly" : false, "rawDescription" : "Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Core Infrastructure team at Stripe is entrusted with developing and maintaining the infrastructure utilized by all product teams to create services that underpin all Stripe business operations. This includes defining and executing a vision that ensures industry-leading scale and availability, and actively balancing these concerns with efficiency, latency, and organizational health. We are committed to advancing new distributed services and scaling existing technologies across the industry, in close collaboration with various teams to support their current and future demands, and various external partners in the open source community. Our infrastructure supports businesses worldwide by processing payments, managing marketplaces, assisting entrepreneurs in launching internet businesses, and more. The Infrastructure organization comprises teams responsible for operating system components, databases, caching, high availability, disaster recovery, cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, change management, and network edge infrastructure. What you'll do As a Software Engineer on the Infrastructure team, you will be part of a team that is in charge of building the core infrastructure used by product teams which support our business. Examples include control plane services responsible for managing our primary database and cache infrastructure as well as building automation around managing cloud components for compute, cache, and networking. You will also build a great customer experience for internal Stripe teams that build on your software to power all of our products, globally and at scale. Responsibilities Design, build, and maintain distributed cloud infrastructure and platform services Work on scaling, automation, reliability, and observability of infrastructure services Operate your service, debug issues, and support customers Participate in roadmap planning and prioritization Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 3+ years of professional experience in a software development role Experience building, deploying, and managing infrastructure on a major cloud provider A strong engineering background in building platform services and/or distributed systems at scale, with a solid grasp of underlying operating system primitives Experience developing, maintaining, and debugging distributed systems, including diagnosing low-level resource constraints Experience with operational excellence and modern observability practices, including distributed tracing, structured logging, and system-level metrics Preferred Qualifications Experience with popular cloud technologies — AWS, Azure, GCP, or Oracle Cloud Experience with Go or other systems languages (e.g., Rust, C/C++) Experience with Linux OS internals, performance optimization, and kernel-level troubleshooting Experience working with Kubernetes clusters and low-level container mechanics Experience in networking and traffic systems at scale Experience handling critical incidents for production systems", "summaryDescription" : "Software Engineer, Core Infrastructure at Stripe. Skills: Distributed systems, Cloud infrastructure, Platform services, Observability. Design distributed cloud infrastructure. Build distributed cloud infrastructure", "postedDate" : "2026-06-16T01:16:18.903", "createdAt" : "2026-06-16T01:16:18.903", "lastUpdated" : "2026-06-16T13:45:12.405", "ingestTimestamp" : "2026-06-16T01:16:18.903", "mongoId" : "6a306fd5f292fd229cfed7f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Operating system primitives", "Observability practices", "Performance optimization", "Kernel-level troubleshooting", "Container mechanics", "Cloud infrastructure", "Platform services", "Observability", "System design", "Roadmap planning", "Prioritization", "Financial infrastructure", "Container orchestration", "Mesh networking", "Service discovery", "Kubernetes" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 520.19086, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30564bf292fd229cf26f4e", "title" : "Prime Air Ground Handler", "company" : "Amazon.com Services LLC", "industry" : "Fulfillment Operations Management, Unmanned Vehicle Operations, Retail", "salary" : { "min" : 27.0, "max" : 27.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Woodway, Texas, USA", "locations" : [ "Woodway, Texas, USA" ], "timestamp" : "2026-06-16T08:29:40.213", "fingerprint" : "c9dec1ca6430789abe041fd255319517c4e2e5e62f3fcef57095b58f2a8ec002", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448471/apply", "externalId" : "a3aeb8f8-4b52-4c8b-b660-f7be2f5bc60f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Woodway", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.5059105,-97.2050856" } ], "locationText" : "Woodway, Texas, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Receive, inspect, and store inventory, Pick, pack, and ship customer orders, Operate powered industrial trucks, Maintain a safe and organized work environment, Adhere to safety and security guidelines, Work with a team to meet productivity goals, Identify and report any safety or operational issues", "teamCollaboration" : "Work with a team", "domainKnowledge" : "Warehouse operations; Inventory management", "domainList" : [ "warehouse-operations", "inventory-management" ], "domainSpecificKnowledge" : [ "Warehouse operations", "Inventory management" ], "specialRequirements" : "Ability to lift up to 49 pounds, Ability to stand for up to 10 hours, Operate powered industrial trucks", "qualificationsBasic" : "High school diploma or GED, 1 year of experience in a warehouse or fulfillment center, Ability to lift up to 49 pounds, Ability to stand for up to 10 hours", "qualificationsPreferred" : "Experience with Amazon logistics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Prime Air is revolutionizing delivery services through innovative drone technology. We're seeking an Autonomous Vehicle Assistant to support our drone delivery operations through ground support activities, basic operational tasks, and community engagement. Key job responsibilities * Support daily drone operations by handling and organizing equipment, including batteries and related components * Monitor airspace in the area of operations and report any potential hazards or obstacles * Assist with basic warehouse tasks including inventory management and package preparation * Execute standard operating procedures while maintaining safety and compliance standards * Engage positively with community members and address basic inquiries about our operations * Document and report operational activities using standard templates and tools * Safely and efficiently deliver packages to customers by car, ensuring on-time arrival, accurate handling, and providing excellent service while adhering to all traffic laws and company safety standards This role requires the ability to carry/lift up to 50 pounds, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach. In addition, this role requires the ability to work outside in various weather conditions. This role requires the ability to work any shift, including nights, weekends, and holidays This role may require travel, up to 25% of the time Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf. This position will be subject to Department of Transportation (DOT) drug and alcohol testing if conducting safety sensitive functions as defined by the FAA. Federal law also requires Amazon to determine an applicant's DOT drug and/or alcohol testing history prior to hiring him/her into a position that would require them to conduct safety sensitive functions as defined by the FAA Basic Qualifications: - High School diploma or equivalent - Knowledge of basic mechanical aptitude and equipment troubleshooting - Experience working in a fast-paced, team environment - Can demonstrate strong attention to safety and ability to follow detailed procedures - Can travel to local sites up to 25% of the time - Can provide valid Drivers License - Experience troubleshooting and documenting findings - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach Preferred Qualifications: - FAA Part 107 Remote Pilot Certificate - Knowledge of aviation terminology and regulations - Experience in warehouse or logistics - Experience in aviation, aerospace, or drone operations 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 starting pay for this position is listed below including the base pay rate plus the highest available shift differential which applies depending on the shift you select. As a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, TX, WOODWAY - 27.00 - 27.00 USD hourly", "summaryDescription" : "Prime Air Ground Handler at Amazon.com Services LLC. Receive, inspect, and store inventory. Pick, pack, and ship customer orders", "postedDate" : "2026-06-14T00:00:00.000", "createdAt" : "2026-06-15T22:01:14.200", "lastUpdated" : "2026-06-16T08:29:40.213", "ingestTimestamp" : "2026-06-15T22:01:14.200", "mongoId" : "6a30564bf292fd229cf26f4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448471/apply", "salaryAnnualMin" : 56160, "salaryAnnualMax" : 56160, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Warehouse operations", "Inventory management" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 519.98364, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5c674d8ee00a09b809f", "title" : "GTM Engineer - Data & Analytics", "company" : "OH. io", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level GTM Engineer - Data & Analytics in Columbus, United States, adjusted for the SaaS industry and company size." }, "location" : "Columbus, OH ", "locations" : [ "Columbus", "OH" ], "timestamp" : "2026-06-16T07:17:06.759", "fingerprint" : "9f5b8613c83fab8627a3ec50bab567b9140220345f7542f26c5674db1da207b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ohio/jobs/4064706009", "externalId" : "4064706009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "React, Rails, Python, SQL, LLMs, AI APIs, HubSpot, Clay, Instantly, Gong, N8n, Zapier, APIs", "professionalSkills" : [ "Data infrastructure", "AI workflows", "Data pipelines", "Lead scoring", "Pipeline forecasts", "Conversion analyses", "API integration", "Data enrichment", "Dashboards", "Reporting" ], "hardSkillsList" : [ "Data modeling", "Automation", "API development" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, AI Automation, GTM Systems", "majorSkillsList" : [ "Data Engineering", "AI Automation", "GTM Systems" ], "coreResponsibilities" : "Create GTM data infrastructure, Maintain GTM data infrastructure, Build agentic AI workflows, Deploy agentic AI workflows, Surface insights using AI, Trigger actions using AI, Architect data pipelines, Connect GTM tools, Keep data accurate, Keep systems in sync, Develop lead scoring models, Develop pipeline forecasts, Develop conversion analyses, Integrate third-party APIs, Integrate MCP servers, Automate enrichment workflows, Build dashboards, Build reporting, Track KPIs, Track pipeline health, Track GTM performance, Partner with RevOps, Partner with SDRs, Partner with AEs, Partner with marketing specialists, Ship solutions, Support portfolio companies, Provide hands-on data work, Provide hands-on technical work", "teamCollaboration" : "GTM Pods; RevOps; SDRs; AEs; Marketing specialists", "domainKnowledge" : "B2B GTM systems; LLMs; AI tooling", "domainList" : [ "b2b-gtm-systems", "llms", "ai-tooling" ], "domainSpecificKnowledge" : [ "B2B GTM systems", "LLMs", "AI tooling" ], "toolProficiency" : [ "N8n", "HubSpot", "Clay", "Instantly", "Gong", "Zapier" ], "problemSolvingSkills" : "Problem-solving instincts", "outcomesObjectives" : "Turn sales data into actionable intelligence; Drive revenue for OH. io; Drive revenue for portfolio companies; Give sales teams sharper view", "qualificationsBasic" : "Coding is your default skillset, Experience in React, Rails, Python or SQL, Ability to show a portfolio of work", "qualificationsPreferred" : "Familiarity with LLMs and AI tooling, Working knowledge of B2B GTM systems, Experience with workflow automation is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About OH.io OH.io is transforming Columbus into America’s startup technology capital — the global hub where capital, talent, and opportunity converge. Backed by Ratmir Timashev and powered by an AI-driven Go-To-Market Accelerator, we ignite B2B SaaS founders with GTM acceleration to build global companies from Columbus. With capital ready to deploy, a deep bench of talent, and the gravitational pull of Fortune 500 anchors, OH.io is making Columbus not just competitive—but indispensable. Through our GTM Acceleration Pods, we deliver specialized teams that drive growth and support every portfolio resident. As part of this mission, we are building a local GTM Hub office in Columbus to serve as the center of activity and collaboration. GTM Engineer – Data & Analytics The GTM Engineer (Data & Analytics) is a technical operator embedded within OH.io's GTM Pods, reporting to the Director of Demand Generation. This role builds data-driven GTM systems from scratch — writing code, automating pipelines, and turning sales data into clean infrastructure and actionable intelligence that drives revenue for OH.io and its portfolio companies. Columbus, OH required. Key Responsibilities Create and maintain GTM data infrastructure — owning the data layer across portfolio CRM's Build and deploy agentic AI workflows using LLMs and automation tools (n8n, APIs) to surface insights and trigger actions across the sales cycle Architect lightweight data pipelines that connect HubSpot, Clay, Instantly, and other GTM tools — keeping data accurate and systems in sync Develop lead scoring models, pipeline forecasts, and conversion analyses that give sales teams a sharper view of where to focus Integrate third-party APIs and MCP servers to expand data coverage and automate enrichment workflows Build dashboards and reporting that track KPIs, pipeline health, and GTM performance in a way non-technical teammates can act on Partner with RevOps, SDRs, AEs, and marketing specialists inside Pods to ship solutions that solve real, day-to-day GTM problems Support portfolio companies with hands-on data and technical work during onboarding and scaling Qualifications Coding is your default skillset. Experience in React, Rails, Python or SQL. Ability to show a portfolio of work: scripts, automations, models, dashboards — something built, not just described Familiarity with LLMs and AI tooling — comfortable building prompts, agents, or wiring up AI APIs Working knowledge of B2B GTM systems (HubSpot, Clay, Instantly, Gong) or a demonstrated ability to pick up new tools fast Experience with workflow automation (n8n, Zapier, or custom API integrations) is a plus Strong problem-solving instincts — you'd rather build a fix than wait for one Comfortable working in a fast-moving, startup environment where the scope of the role will grow with you", "summaryDescription" : "GTM Engineer - Data & Analytics at OH. io. Skills: Data Engineering, AI Automation, GTM Systems. Create GTM data infrastructure. Maintain GTM data infrastructure", "postedDate" : "2026-06-14T18:02:31.971", "createdAt" : "2026-06-14T18:02:31.971", "lastUpdated" : "2026-06-16T07:17:06.759", "ingestTimestamp" : "2026-06-14T18:02:31.971", "mongoId" : "6a2ca5c674d8ee00a09b809f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Automation", "API development", "Data Engineering", "AI Automation", "GTM Systems", "Data infrastructure", "AI workflows", "Data pipelines", "Lead scoring", "Pipeline forecasts", "Conversion analyses", "API integration", "Data enrichment", "Dashboards", "Reporting", "B2B GTM systems", "LLMs", "AI tooling", "N8n", "HubSpot", "Clay", "Instantly", "Gong", "Zapier" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 519.4012, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c693f74d8ee00a0906a57", "title" : "Software Engineer - Autonomy & Ground Systems", "company" : "Valinor", "industry" : "Valinor Condor", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in New York, adjusted for the technology industry and a mid-sized company." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T00:44:24.371", "fingerprint" : "5bf05dcf1956a43983827e6c15217bdd4a3a65703535be040a727319f9a08913", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/valinor/f1b6a1bd-0569-4096-b7bf-0c74ab297a7b/application", "externalId" : "f1b6a1bd-0569-4096-b7bf-0c74ab297a7b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "rawDescription" : "Valinor is a new type of defense and government tech company focused on solving the problems others don't. Our unique model of centralized go-to-market and decentralized engineering allows us to move with unparalleled efficiency to identify unmet needs, build right-sized solutions, and get products where they matter most - in the hands of users. Unlike others in the space, who focus on the flashy problems, Valinor exists to solve the quiet, unaddressed problems-the small but significant ones that lead to cracks in the country's strength, stability, and security. Backed by General Catalyst, Founders Fund, and Friends & Family Capital, Valinor was founded in 2024 and has established strategic partnerships with Palantir, Anduril, and Helsing. We are building the dream team, and we want you on it. ABOUT THE ROLE Valinor Condor is building the next generation of autonomous VTOL aircraft for defense and enterprise applications. We're a small, technical team moving fast — our vehicle is flying, our customers are real, and the work spans simulation to real life. We're looking for a Software Engineer to own everything above the flight controller. That means the ground control stack, companion computer software, mission planning tools, simulation infrastructure, and the internal tooling that keeps a fast-moving flight test program organized. WHAT YOU'LL DO - On-Board Computer Stack — Own sensor and payload pipelines, camera systems, and Computer ↔ Flight Controller communication - Ground Control & Mission Planning — Own GCS software, MAVLink routing infrastructure, TAK/CoT integration, and end-to-end mission planning tooling - Simulation Infrastructure — Build and maintain the SITL harness and interface layer between the flight dynamics model and autopilot; develop scripted HITL test suites that validate software changes before they reach the flight line - Flight Operations Tooling — Build the flight data pipeline — log ingestion, storage, indexing, and retrieval at scale — along with team-facing analysis dashboards and automated anomaly detection so engineers aren't manually reviewing every log - Engineering Infrastructure — Own CI/CD for firmware builds and software releases, enabling rapid integration with clear documentation - Collaboration — Work with engineering and product teams to translate customer requirements into working software WHAT WE'RE LOOKING FOR Required - 4+ years of software engineering experience, with meaningful time spent on hardware-coupled systems - Proficiency in C++ and Python - Experience with ROS or ROS2 in a deployed context - Comfortable working in Linux environments — systems, networking, process management, debugging without a GUI - Strong written communication — you'll translate between domain experts (GNC, EE) and working software Strongly Preferred - Experience with MAVLink, PX4, or ArduPilot — you understand how autopilot communication works, not just that it exists - Familiarity with SITL/HITL simulation environments - Experience with data pipeline tooling (ingestion, storage, querying of time-series or log data) - Background in or exposure to defense, aerospace, or other safety-critical software domains Nice to Have - Experience with TAK, CoT, or military C2 integration - Knowledge of MAVLink security, encrypted RF links, or NDAA software compliance - CI/CD experience in a hardware-in-the-loop context WHAT VALINOR OFFERS - Competitive salary, equity packages, and benefits, including health, dental, and vision insurance - fully covered for employees, 401K, development stipends, among others. - Unlimited PTO and two-week company holiday at the end of every calendar year. - We are a pro-mental health and pro-family company - we actually encourage employees to spend time with themselves and their families. Valinor also provides fertility benefits to those just beginning that journey. - Fun work environment - we like to laugh and take care of each other, but we also deeply respect the mission in front of us. This role requires the candidate to be eligible to obtain and maintain a U.S. security clearance. Active clearance preferred, but not required. Valinor is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Valinor team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense and government technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you!", "summaryDescription" : "Software Engineer - Autonomy & Ground Systems at Valinor", "createdAt" : "2026-06-14T20:11:14.335", "lastUpdated" : "2026-06-16T00:44:24.371", "ingestTimestamp" : "2026-06-14T20:11:14.335", "mongoId" : "6a2c693f74d8ee00a0906a57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 519.23804, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305107f292fd229cef8636", "title" : "Senior Consultant - Data & Analytics", "company" : "Highspring", "industry" : "Consulting", "salary" : { "min" : 76194.0, "max" : 122981.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, VA", "locations" : [ "McLean", "VA" ], "timestamp" : "2026-06-16T08:45:12.907", "fingerprint" : "48c6a72cd2c3f1a1df0dd91bf98ef6f2d6f263ec75503e10784e231524514c6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.highspring.com/about/careers/job-details?gh_jid=8003443", "externalId" : "8003443", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Databricks, Redshift, Power BI, Tableau, Sigma, Codex, Claude Code, Cursor", "professionalSkills" : [ "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization" ], "hardSkillsList" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Code testing", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" } ], "majorSkills" : "Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms", "majorSkillsList" : [ "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms" ], "coreResponsibilities" : "Design modern data warehouses, Build modern data warehouses, Develop scalable data pipelines, Develop reliable data pipelines, Implement analytics solutions, Implement reporting solutions, Implement visualization solutions, Translate complex data into actionable insights, Partner with client teams, Understand business objectives, Understand data challenges, Understand success metrics, Manage discrete project workstreams, Balance technical execution, Balance client communication, Balance delivery timelines, Present findings, Present recommendations, Present solution designs, Leverage AI-assisted development environments, Design analytics code, Generate analytics code, Test analytics code, Iterate analytics code, Design data engineering code, Generate data engineering code, Test data engineering code, Iterate data engineering code, Support data transformation initiatives, Support system implementations, Support migrations, Support modernization efforts, Participate in knowledge sharing, Participate in mentoring, Participate in career development", "teamCollaboration" : "Client teams; Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. Build modern data warehouses", "postedDate" : "2026-06-15T23:15:28.137", "createdAt" : "2026-06-15T23:15:28.137", "lastUpdated" : "2026-06-16T08:45:12.907", "ingestTimestamp" : "2026-06-15T23:15:28.137", "mongoId" : "6a305107f292fd229cef8636", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76194, "salaryAnnualMax" : 122981, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration", "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms", "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization", "Workstream management", "Prioritize tasks", "Delivery timelines", "Data transformation", "Data models", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation", "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "skillCount" : 52, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 518.1963, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 15267, "totalPages" : 306, "hasNext" : true, "hasPrevious" : false } }

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