{ "count" : 33104, "data" : [ { "id" : "6a307f61f292fd229c0589f8", "title" : "Program Manager", "company" : "Baya Systems", "industry" : "Technology", "salary" : { "min" : 1850000.0, "max" : 3150000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Program Manager in Bengaluru, India, adjusted for mid-seniority, technology industry, and full-time employment." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-16T09:59:05.388", "fingerprint" : "d6745cf67ab339e4ef469b32cb86bcecd20242e4b47cdd7c627ea4a6bda6a079", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bayasystems/jobs/5261121008", "externalId" : "5261121008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "experienceLevel" : "Manager", "technicalSkills" : "Python, GitHub", "professionalSkills" : [ "Release management", "Issue tracking", "Feature requests", "Version management", "Documentation" ], "hardSkillsList" : [ "Hardware IP design", "Hardware IP verification", "Hardware IP implementation", "Functional safety requirements", "AMBA protocols", "CHI", "AXI", "NoC", "Cache coherency" ], "hardSkills" : [ { "name" : "Hardware IP design", "level" : "intermediate" }, { "name" : "Hardware IP verification", "level" : "intermediate" }, { "name" : "Hardware IP implementation", "level" : "intermediate" }, { "name" : "Functional safety requirements", "level" : "intermediate" }, { "name" : "AMBA protocols", "level" : "intermediate" }, { "name" : "CHI", "level" : "intermediate" }, { "name" : "AXI", "level" : "intermediate" }, { "name" : "NoC", "level" : "intermediate" }, { "name" : "Cache coherency", "level" : "intermediate" } ], "coreResponsibilities" : "Track IP release schedules, Manage release content, Manage customer requirements, Manage delivery timelines, Oversee project boards, Oversee issue tracking, Maintain alignment across teams, Participate in meetings, Document action items, Document dependencies, Document risks, Coordinate with stakeholders, Coordinate with customers, Support feature requests, Support release planning, Provide support for release activities, Package deliverables, Manage versions, Develop Python scripting, Apply Python scripting, Streamline release workflows, Streamline tracking workflows, Coordinate FuSa requirements tracing, Track FuSa requirements", "teamCollaboration" : "Engineering teams; Internal stakeholders; Customer teams", "projectManagementSkills" : [ "IP release schedules", "Project boards", "Issue tracking", "Release planning" ], "domainKnowledge" : "Chiplet era; Software-driven fabric solutions; Single-die systems; Multi-die systems; Semiconductor chips; System-on-Chip; Multi-chiplet systems; Data center; Infrastructure; AI; Automotive; Edge IoT; Hardware IP; Functional safety; ARM AMBA protocols; CHI; AXI; NoC; Cache coherency", "domainList" : [ "chiplet-era", "software-driven-fabric-solutions", "single-die-systems", "multi-die-systems", "semiconductor-chips", "system-on-chip", "multi-chiplet-systems", "data-center", "infrastructure", "ai", "automotive", "edge-iot", "hardware-ip", "functional-safety", "arm-amba-protocols", "chi", "axi", "noc", "cache-coherency" ], "domainSpecificKnowledge" : [ "Chiplet era", "Software-driven fabric solutions", "Single-die systems", "Multi-die systems", "Semiconductor chips", "System-on-Chip", "Multi-chiplet systems", "Data center", "Infrastructure", "AI", "Automotive", "Edge IoT", "Hardware IP", "Functional safety", "ARM AMBA protocols", "CHI", "AXI", "NoC", "Cache coherency" ], "toolProficiency" : [ "GitHub" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Innovate; Deliver compelling solutions", "qualificationsBasic" : "Proven experience in hardware IP design, Proven experience in hardware IP verification, Proven experience in hardware IP implementation, Coordinate FuSa requirements tracing, Track FuSa requirements", "qualificationsPreferred" : "Understanding of ARM AMBA protocols, Experience in project management, Experience in program management, Familiarity with GitHub project management tools, Familiarity with CI/CD practices, Familiarity with release processes, Hands-on technical skills, Contribute to scripting, Contribute to release workflows, Contribute to engineering infrastructure, Experience with NoC's, Experience with cache coherency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Baya Systems is inspired by the baya bird, also known as the weaver. Baya birds weave very unique and intricate hanging nests from different materials. The nests are robust and safe while being extremely lightweight and efficient. Baya is a fast-moving Series B startup built by serial entrepreneurs with a vision to accelerate intelligent computing in the emerging chiplet era. We focus on software-driven, unified fabric solutions for single-die and multi-die systems. We design and license disruptive intellectual property for use in semiconductor chips, with software development platforms to simplify the design process and reduce the time to market for complex System-on-Chip (SoC) and multi-chiplet systems. This enables our partners to innovate and deliver compelling solutions for data center, infrastructure, AI, Automotive, and Edge IoT markets. We are looking for energetic and dedicated individuals share our passion for enabling innovation and excellence in the semiconductor industry that empowers game-changing products and services! Program Manager, Baya Systems Location: Bengaluru, India Key Responsibilities: Track and manage IP release schedules, including release content, customer-specific requirements, and delivery timelines. Oversee project boards and issue tracking to maintain alignment across engineering teams. Participate in engineering execution meetings, ensuring action items, dependencies, and risks are clearly documented and managed. Coordinate with internal stakeholders and customers to support feature requests, schedules, and release planning. Provide hands-on support for release activities, including packaging deliverables, version management, and documentation. Develop and apply Python scripting and automation to streamline release and tracking workflows. Co-ordinate functional safety requirements tracing and tracking Qualifications Proven experience in hardware IP design, verification, or implementation. Coordinate FuSa requirements tracing and tracking through our flows Desired Skills: Strong understanding of ARM AMBA protocols such as CHI and AXI. Prior experience in project or program management within a semiconductor or system IP organization. Familiarity with GitHub project management tools, CI/CD practices, and release processes. Strong organizational and communication skills with the ability to interface effectively across engineering and customer teams. Hands-on technical skills: ability to contribute to scripting, release workflows, and engineering infrastructure. **High Preferred yet not \"must have\" experience with NoC's and cache coherency, Why Join Us? Contribute directly to the development of cutting-edge NoC IP for next-generation SoCs. Work closely with experienced engineering leadership in a technically rigorous environment. Be part of a focused, collaborative team with high visibility and impact on company success. Compensation: Salary commensurate with experience Performance incentives Comprehensive medical, dental, and vision benefits 401(k) retirement plan Equity", "summaryDescription" : "Program Manager at Baya Systems. Track IP release schedules. 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Partner with commercial, finance, and executive teams to define and solve high-impact business problems through structured analytical approaches Design and execute causal inference studies, experiments, and quasi-experimental analyses (e.g., Diff-in-Diff, propensity modeling) to measure impact of pricing, promotions, and investments Build, maintain, and optimize large-scale data models and pipelines using SQL and modern data tooling (e.g., dbt, BigQuery) Develop predictive models for demand forecasting, market share, and commercial performance to support strategic planning Apply advanced analytics to evaluate pricing elasticity, promotional effectiveness, and category economics Leverage LLMs and AI systems to structure unstructured commercial data and build internal tools that improve data accessibility Collaborate with cross-functional stakeholders to ensure insights are translated into actionable business decisions Establish scalable, well-documented analytical frameworks and best practices for experimentation and modeling Requirements: This role requires a strong applied scientist with deep expertise in statistics, causal inference, and large-scale data analysis, combined with the ability to translate technical findings into business impact. 5+ years of experience in applied data science, analytics engineering, or quantitative modeling roles in industry Strong proficiency in SQL with experience working on large-scale datasets and production-grade data models Solid foundation in statistics, experimental design, and causal inference methodologies Strong programming skills in Python (pandas and related data science ecosystem) Experience building and deploying predictive models and analytical frameworks in production environments Ability to connect analytical insights to real-world commercial decisions and communicate findings clearly to stakeholders Hands-on experience with LLMs or AI tools for data classification, automation, or workflow enhancement Preferred experience in retail, CPG, fintech, or syndicated market data environments (e.g., Circana, NielsenIQ, IRI, POS data) Strong understanding of analytics engineering practices such as version control, testing, and documentation Advanced degree in a quantitative field (statistics, economics, computer science, mathematics) preferred Benefits: Competitive base salary ranging from approximately $126,000 to $206,000 depending on location and experience Annual performance-based bonuses and equity participation Comprehensive medical, dental, vision, disability, and life insurance coverage 401(k) retirement plan with company match Paid time off and company holidays Family support benefits including parental leave and wellness programs Cell phone subsidy and commuter benefits Learning and development opportunities and professional growth support Employee assistance and mental health support programs Remote-friendly work environment with flexibility Additional perks and employee discount programs. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). 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AmaliTech provides employment pathways in the tech sector to young graduates in Sub-Saharan Africa, connecting them to the global demand for tech talent. Our approach combines training with employment and continuous learning because evidence shows that only this integrated approach works. By focusing on skilled IT services, we contribute to ecosystem development and the emergence of a future-proof industry with growth engine potential. With headquarters in Germany, we have over 400 strong team members based in Ghana (Takoradi, Kumasi and Accra) and Rwanda (Kigali). Are you a STEM graduate in Ghana looking to further your career in cloud computing? The AWS Associate Program offers a unique opportunity to gain the technical skills and professional guidance needed to excel in the global tech industry. It is a free online training program designed for STEM graduates and early-career professionals who have basic cloud or IT knowledge and are eager to deepen their expertise in cloud computing. AmaliTech will support learners with hands-on training, mentorship, and guidance to help them build essential AWS skills and transition into cloud-related careers. This program focuses on; The AWS Solutions Architect – Associate: a highly sought-after certification that demonstrates readiness to work with real-world cloud infrastructures. It validates the learner’s ability to design secure, reliable, and scalable systems using a broad range of AWS services. * Launch your cloud career: Gain in-demand AWS Cloud skills through expert-led training, hands-on labs, and real-world projects. * Become certified: Prepare for AWS Certification exams with a free voucher and earn an industry-recognized credential. * Build your network: Connect with peers, instructors, and industry professionals for career guidance and support. * Receive a cash reward upon certification to celebrate your achievement ## Qualifications An ideal candidate must: * Be a Ghanaian tertiary STEM graduate * Must be a certified AWS Cloud Practitioner * Be available to commit at least 4 hours per week of instructor-led sessions (live online), and an additional 6-10 hours of self-study and lab practice outside class * Have access to a computer/laptop with a webcam and microphone with reliable internet connection * Be passionate about pursuing a career in cloud computing ## Additional Information Available cohorts for 2026; 1. July to November Recruiting Process: 1. Click the \"I'm interested \" button below to submit your application. 2. Application screening and validation (might require a phone interview). 3. Complete the AWS General Quiz. 4. Email notification of final application decision. Applicants are encouraged to monitor their email inboxes and spam/junk folders to stay updated about the selection process. The Deadline for application is 23rd June, 2025. Please Note: Due to limited space, admission to the programme is competitive. Meeting the minimum requirements does not guarantee acceptance. Talk to the Talent Acquisition Team Potential applicants are encouraged to contact the Recruitment Team for clarification. * E-mail: [recruitment@amalitech.com](mailto:recruitment@amalitech.com) * Phone: 0593878161 or 0501619835 Documents To Submit * Current CV in PDF (required) * AWS Cloud Practitioner Certificate in PDF (required) * National ID card in PDF (required)", "summaryDescription" : "AmaliTech AWS Associate Certification Training Program (Solutions Architect Track) at AmaliTech. Skills: AWS Solutions Architect, Cloud computing. Design secure systems. 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AmaliTech provides employment pathways in the tech sector to young graduates in Sub-Saharan Africa, connecting them to the global demand for tech talent. Our approach combines training with employment and continuous learning because evidence shows that only this integrated approach works. By focusing on skilled IT services, we contribute to ecosystem development and the emergence of a future-proof industry with growth engine potential. With headquarters in Germany, we have over 400 strong team members based in Ghana (Takoradi, Kumasi and Accra) and Rwanda (Kigali). Are you a STEM graduate in Ghana looking to further your career in cloud computing? The AWS Associate Program offers a unique opportunity to gain the technical skills and professional guidance needed to excel in the global tech industry. It is a free online training program designed for STEM graduates and early-career professionals who have basic cloud or IT knowledge and are eager to deepen their expertise in cloud computing. AmaliTech will support learners with hands-on training, mentorship, and guidance to help them build essential AWS skills and transition into cloud-related careers. This program focuses on; The AWS Solutions Architect – Associate: a highly sought-after certification that demonstrates readiness to work with real-world cloud infrastructures. It validates the learner’s ability to design secure, reliable, and scalable systems using a broad range of AWS services. * Launch your cloud career: Gain in-demand AWS Cloud skills through expert-led training, hands-on labs, and real-world projects. * Become certified: Prepare for AWS Certification exams with a free voucher and earn an industry-recognized credential. * Build your network: Connect with peers, instructors, and industry professionals for career guidance and support. * Receive a cash reward upon certification to celebrate your achievement ## Qualifications An ideal candidate must: * Be a Ghanaian tertiary STEM graduate * Must be a certified AWS Cloud Practitioner * Be available to commit at least 4 hours per week of instructor-led sessions (live online), and an additional 6-10 hours of self-study and lab practice outside class * Have access to a computer/laptop with a webcam and microphone with reliable internet connection * Be passionate about pursuing a career in cloud computing ## Additional Information Available cohorts for 2026; 1. July to November Recruiting Process: 1. Click the \"I'm interested \" button below to submit your application. 2. Application screening and validation (might require a phone interview). 3. Complete the AWS General Quiz. 4. Email notification of final application decision. Applicants are encouraged to monitor their email inboxes and spam/junk folders to stay updated about the selection process. The Deadline for application is 23rd June, 2025. Please Note: Due to limited space, admission to the programme is competitive. Meeting the minimum requirements does not guarantee acceptance. Talk to the Talent Acquisition Team Potential applicants are encouraged to contact the Recruitment Team for clarification. * E-mail: [recruitment@amalitech.com](mailto:recruitment@amalitech.com) * Phone: 0593878161 or 0501619835 Documents To Submit * Current CV in PDF (required) * AWS Cloud Practitioner Certificate in PDF (required) * National ID card in PDF (required)", "summaryDescription" : "AmaliTech AWS Associate Certification Training Program (Solutions Architect Track) at AmaliTech. Skills: AWS Solutions Architect, Cloud computing. Gain in-demand AWS Cloud skills. Prepare for AWS Certification exams", "postedDate" : "2026-06-15T09:49:38.000", "createdAt" : "2026-06-16T00:18:01.142", "lastUpdated" : "2026-06-16T11:26:30.390", "ingestTimestamp" : "2026-06-16T00:18:01.142", "mongoId" : "6a306218f292fd229cf98f54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AWS skills", "AWS Solutions Architect", "Cloud computing", "Cloud career guidance", "Hands-on training", "Mentorship", "Cloud infrastructures", "AWS services", "AWS Cloud Practitioner Certificate", "AWS Solutions Architect – Associate" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 437.61417, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ad274d8ee00a090e513", "title" : "PaintCare Program Coordinator for Maine and Vermont", "company" : "American Coatings Association & PaintCare", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Environmental Services in Bulgaria, adjusted for mid-seniority and remote work." }, "location" : "United States", "locations" : [ "VT", "US" ], "timestamp" : "2026-06-15T21:22:12.600", "fingerprint" : "0f022649b7a9ec85ee76e0df798684ed028300034b802f3b2ae27d0dd9940c1c", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://american-coatings-association.breezy.hr/p/c7f1854b3cc3-paintcare-program-coordinator-for-maine-and-vermont", "externalId" : "c7f1854b3cc3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Assist with administering paint stewardship program, Coordinate program activities in-field", "domainKnowledge" : "Paint stewardship program", "domainList" : [ "paint-stewardship-program" ], "domainSpecificKnowledge" : [ "Paint stewardship program" ], "specialRequirements" : "Significant in-field work", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Summary PaintCare seeks a qualified candidate to assist with administering the paint stewardship program in Maine and Vermont. This position is remote, located in Maine or Vermont, and requires a significant amount of in-field work to coordinate the activities of the PaintCare program. About PaintC", "summaryDescription" : "PaintCare Program Coordinator for Maine and Vermont at American Coatings Association & PaintCare. Assist with administering paint stewardship program. 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Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "PMI" ], "timestamp" : "2026-06-15T08:51:03.294", "fingerprint" : "7b8f1c0f98ea2d9c66f368d2dd95b34d77255e01740f077c5cf678c6b659eaae", "source" : "taleo", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=880935", "externalId" : "880935", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : ".NET, .NET Core, Java, Spring Boot, Microservices, APIs, DevSecOps, Azure, SQL Server, Oracle, Git", "professionalSkills" : [ "Expertise in developing and maintaining Mobility products such as Credit Platform, Credit Risk Digital, and Customer-facing solutions like Customer Portal for AAP & EUR markets. Experience in automotive mobility space is also mentioned." ], "hardSkillsList" : [ "Software Engineering", "Product Development", "Digitalization Projects", "GenAI" ], "softSkillsList" : [ "People Management, Cross-cultural awareness, Empathy, Diversity & Inclusion, Stakeholder Management, Interpersonal Skills" ], "hardSkills" : [ { "name" : "Software Engineering", "level" : "intermediate" }, { "name" : "Product Development", "level" : "intermediate" }, { "name" : "Digitalization Projects", "level" : "intermediate" }, { "name" : "GenAI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "People Management, Cross-cultural awareness, Empathy, Diversity & Inclusion, Stakeholder Management, Interpersonal Skills" } ], "majorSkills" : "IT Application Program Management, Digitalization, Agile", "majorSkillsList" : [ "IT Application Program Management, Digitalization, Agile" ], "coreResponsibilities" : "The Senior Program Manager will lead the IT Mobility Product Development team, overseeing the end-to-end management of projects including planning, delivery, risk management, and client interaction. This role involves driving digitalization initiatives using metrics and KPIs, contributing to innovation with trending topics like GenAI, and managing teams and budgets. The position requires resolving complex departmental operational problems and establishing functional procedures and policies.", "teamCollaboration" : "The role involves leading a team of 40+ tech enthusiasts and establishing solid business relationships within MB, MBRDI, and suppliers. It requires cross-functional collaboration across different geographies and managing teams and budgets effectively.", "projectManagementSkills" : [ "Scrum", "Kanban", "DevOps", "Agile Development" ], "toolProficiency" : [ "MS Office, Excel, PowerPoint" ], "communicationSkills" : "English fluency", "documentationSkills" : "QMS", "continuousLearning" : "Access to world-class infrastructure and learning opportunities is provided. The role involves contributing to innovation through trending topics such as GenAI.", "innovationCreativity" : "Contribute to Innovation through topics adding value to Business involving trending topics such as GenAI. Paving the way for the technological future of vehicles.", "problemSolvingSkills" : "Complex Problem Solving; LEAN processes", "specialRequirements" : "Tech personality to lead the IT Mobility Product Development team. Experience in developing & maintaining Mobility products such as Credit Platform, Credit Risk Digital, and Customer-facing solutions. Must have excellent communication skills (English).", "outcomesObjectives" : "Drive seamless integration and optimal performance, ensuring the overall customer experience. Ensure that the company defined compliance guidelines are practiced in the area of responsibility. Deliver on product development, implementation, and support for mobility products.", "qualificationsBasic" : "Graduate in any field (preferred B.E. – any branch) with 5+ years of working experience as a program manager in the information technology. Proven experience structuring frameworks/approaches to complex problem-solving. Experience working successfully in large, complex, fast-paced organizations. Proficient in use of standard office software and reporting applications.", "qualificationsPreferred" : "Experience in LEAN processes is strongly preferred. German Language skills will be an added advantage. PMI or equivalent certification is preferred.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Within Mercedes-Benz Research & Development we are paving the way for the technological future of our vehicles. Covering all domains starting from Research Development, Sales & Marketing, After Sales & global functions such as Finance & HR we cover the entire value chain of Mercedes-Benz. We are looking for a strong tech personality that will lead our IT Mobility Product Development team of approx. 40+ highly motivated tech enthusiasts forming ‘Mercedes-Benz Tech India’ team at MBRDI; a part of the global IT tech network (‘Home of Tech’) in ITH. In order to accelerate our ambitions as Mercedes-Benz Tech India you will be looking at the following challenges ahead of you: We specialize in developing & maintaining Mobility products such as Credit Platform, Credit Risk Digital which offer scoring solutions for individuals and businesses. We are also specialized in Customer-facing solutions such as Customer Portal for both AAP & EUR markets. We specialize in creating data-driven, customer-centric financial and mobility solutions, ensuring innovation and excellence in every aspect of our work. Our goal is to drive seamless integration and optimal performance, ensuring the overall customer experience. We also development and manage different products in Mercedes-Benz Automotive Mobility space. Key Skills : Should have expertise in Software Engineering, with experience in product development, implementation, and support. Should have handled large and complex transformational programs with cross-functional teams, across different geographies. Capable of excellent people management skills, ability to build and lead highly engaged and motivated teams. Proficient in conducting appraisals, giving timely feedback and ensuring zero gaps in people management. Responsible for complete end-to-end management for the assigned project(s)/ program which include project planning, delivery, risk management, client interaction, trouble shooting and tracking utilization for the team. Experience in driving digitalization projects/topics using metrics/KPIs for data driven decisions Contribute to Innovation through topics adding value to Business involving trending topics such as GenAI Cross-cultural awareness, empathy, active driver of diversity & inclusion Managing teams and budget (IT, participate in Operative Planning, Project Planning, Rotation plan) Resolve complex problems of department wide operations. Define and Establish functional procedure and policies (QMS) Ensure that the company defined compliance guidelines are practiced in the area of responsibility Recruitment – Program Manager and below Establishing and building a solid & sustainable business relationship within MB, MBRDI, & suppliers. You will be a great fit if you have the following skills.. • Should have worked in Agile Development teams with a good exposure to Scrum/Kanban and DevOps methodologies. • Strong IT Application Program Management skills required; PMI or equivalent certification / relevant experience preferred. • 5+ years of working experience as a program manager in the information technology. • Proven experience structuring frameworks/approaches to complex problem-solving experience in LEAN processes is strongly preferred. • Experience working successfully in large, complex, fast-paced organizations. • Strong stakeholder management and interpersonal skills • Excellent communication skills (English) are a must. German Language skills will be an added advantage • Proficient in use of standard office software and reporting applications • Advanced MS Office skills specifically with Excel and PowerPoint Experience in enterprise application Architecture, Design, and Development using wide range of technologies such as .Net, .Net Core, Java, Springboot, Microservices, APIs, DevSecOps, Azure, SQL Server or Oracle, Git and other tools and technologies. Qualifications - - Graduate in any field, (preferred B.E. – any branch) Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Senior Program Manager - IT for Mobility at Mercedes-Benz Research and Development India. Skills: IT Application Program Management, Digitalization, Agile. The Senior Program Manager will lead the IT Mobility Product Development team, overseeing the end-to-end management of projects including planning, delivery, risk management, and client interaction. 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Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

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While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 101 E 15th St, Austin, Texas in the Division of Fraud Deterrence and Compliance. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: The ideal candidate must be detail-oriented, able to work in a fast-paced environment and work in the Austin office Monday – Friday, 8am – 5pm. WHAT YOU WILL DO: The Program Supervisor I-II performs routine to moderately complex (journey-level) administrative and supervisory program work. Works under moderate to general supervision, with limited latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Supervise the work of assigned program staff and provides training and technical assistance in the program area. -Prepare and review reports on the effectiveness of program activities. -Confer with staff on program issues and problems to identify and implement solutions. -Plan, implement, coordinate, monitor, and evaluate programs. -Assist in the development of program guidelines, procedures, and policies; and monitors compliance with policies and procedures. -Assist in the preparation of training and operational manuals, educational and marketing matter. -May provide training or technical assistance in a program area. -Perform related work as assigned. YOU QUALIFY WITH: -Program Supervisor I: Six months of full-time experience in the development, implementation, or interpretation of policies and procedures in a public or private agency. -Program Supervisor II: One year of full-time experience in the development, implementation, or interpretation of policies and procedures in a public or private agency. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Payday law experience. -Experience in interpreting and enforcing laws, statutes, rules and procedures. -Ability to meet deadlines. -Personal computer skills, including Windows, Word, and Excel experience. YOU GAIN: -A Family Friendly Certified Workplace. -Competitive starting salary: $4,900.00 - $5,000.00/month -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf. 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"title" : "Program Manager", "company" : "Center for Employment Opportunities", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Program Manager in San Jose, California, with adjustments for manager seniority, non-profit industry, and company size." }, "location" : "San Jose, California, United States", "locations" : [ "San Jose", "California", "United States" ], "timestamp" : "2026-06-16T11:13:15.394", "fingerprint" : "07afa38517956861d1e57aede8f7e5a7ac3548d854b8591d47defb8233fb8a4d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/centerforemploymentopportunities/jobs/8592335002?gh_jid=8592335002", "externalId" : "8592335002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data tracking", "Performance evaluation", "Budget management" ], "hardSkills" : [ { "name" : "Data tracking", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" } ], "majorSkills" : "Program operations, Program performance, Team management", "majorSkillsList" : [ "Program operations", "Program performance", "Team management" ], "coreResponsibilities" : "Oversee daily operations of local site's vocational program, Ensure fidelity to program model, Focus on continuous improvement, Lead local team to meet program milestones, Recruit participants, Support participant progress, Manage participant-related data, Develop and train team members, Manage vocational portion of site's budget, Collaborate with local Social Enterprise leadership, Support participants through transitional job training, Support participants through workforce development, Manage daily vocational operations, Deliver vocational services to participants, Support and enhance participant experience, Maintain cohesion and communication between teams, Monitor and manage office administration, Ensure CEO procedures and policies are implemented, Maintain relationships with parole and probation bureaus, Maintain relationships with district attorney offices, Maintain relationships with program referral sources, Build strategic partnerships with local organizations, Build referral relationships with local organizations, Troubleshoot incidents and challenges, Support regional contracts team with data tracking, Support regional contracts team with reporting, Manage and ensure adherence to local site's vocational, Provide local presence, Manage relationships with community organizations, Support regional Investment teams, Support regional fundraising teams, Monitor and supervise site progress, Monitor and supervise team progress, Ensure compliance with organizational policies, Ensure compliance with organizational procedures, Manage team in usage of CRM, Organize information in CRM, Perform forecasting in CRM, Measure performance of programming, Evaluate performance of vocational program services, Recommend areas to improve, Manage recording of data, Manage tracking of data, Monitor enrollment metrics, Monitor case file metrics, Monitor placement metrics, Monitor retention metrics, Hire local team, Supervise local team, Support local team, Ensure ongoing engagement in learning, Support staff in obtaining resources, Support staff in obtaining training, Build environment of collaboration, Build environment of disciplined pursuit of goals, Build environment of inclusion, Foster communication across team members, Foster accountability across team members, Foster support across team members, Coach team members, Provide feedback to team members, Drive employee performance, Support team in gaining access to resources, Leverage employee insights, Leverage employee feedback, Respond to needs, Determine areas of individual development, Determine areas of team development, Model communication between sites, Model communication between teams, Model communication between departments, Model collaboration between sites, Model collaboration between teams, Model collaboration between departments, Prioritize team-building, Prioritize culture-building, Prioritize celebration", "teamCollaboration" : "Cross-functional teams; Social Enterprise team; Participant Resources department; Safety teams; Employee Experience teams; Legal teams; Regional contracts team; Regional Investment teams; Regional fundraising teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Vocational program model; Reentry employment; Workforce development", "domainList" : [ "vocational-program-model", "reentry-employment", "workforce-development" ], "domainSpecificKnowledge" : [ "Vocational program model", "Reentry employment", "Workforce development" ], "continuousLearning" : "Professional development opportunities; Continual learning", "problemSolvingSkills" : "Identify potential problems; Anticipate potential problems; Analyze potential problems; Decide on course of action; Implement course of action; Troubleshoot incidents", "outcomesObjectives" : "Meet program milestones; Achieve impact; Achieve local program outcomes; Ensure fidelity to program model; Ensure effectiveness of vocational model delivery; Enhance participant experience; Maintain cohesion and communication; Implement CEO procedures and policies with fidelity; Ensure adherence to vocational budget; Measure performance of programming; Improve vocational program services", "qualificationsBasic" : "5+ years experience in program management, Experience managing vocational programs, Experience managing budgets, Experience managing teams, Experience with CRM systems", "qualificationsPreferred" : "Lived experience of incarceration, Experience with justice system involvement", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Program Manager Fully Onsite/In Person San Jose, CA Anticipated deadline to submit application: June 25 at 12:00pm PST. Position may close early if application limit is met. Apply promptly for full consideration The Opportunity This position oversees the daily operations of a local site’s vocational program, ensuring fidelity to the program model and focus on continuous improvement. Includes leading the local team to meet program milestones, recruit participants and support participant progress, and manage participant-related data to inform decisions and achieve impact. Develops and trains team members to best support participants and manages the vocational portion of the site’s budget. Collaborates with local Social Enterprise leadership and team to support participants through transitional job training and workforce development. As part of our mission, we strongly encourage individuals who have lived experience of incarceration or involvement in the justice system to apply for this role. Who We Are The Center for Employment Opportunities (CEO) provides employment services to people recently released from incarceration. Across the United States, 8,000-9,000 people participate in CEO each year, transitioning to employment that supports themselves, their families, and their communities. What began as a demonstration project of the Vera Institute of Justice in the 1970s to address employment barriers facing the formerly incarcerated following release in New York City has grown into the leading reentry employment organization in the country, where over 30,000 formerly incarcerated individuals have secured full-time employment since 1996. What You’ll Be Responsible For: Program Operations Manage daily vocational operations at the local site and delivery of vocational services to participants, ensuring effectiveness of vocational model delivery Support and enhance the participant experience Collaborate with the Social Enterprise team including local Site Supervisors and Social Enterprise leadership to maintain cohesion and communication between teams in delivering services to participants Monitor and manage overall office administration, collaborating with internal teams to ensure CEO procedures and policies are implemented effectively and with fidelity Maintain relationships with local parole and probation bureaus, district attorney offices, and other program referral sources Collaborate and support CEO’s Participant Resources department with building strategic partnerships and referral relationships with local organizations that provide holistic and complementary services for participants, such as housing, substance abuse, etc. Troubleshoot incidents and challenges that arise, working in concert with CEO’s safety, Employee Experience, and Legal teams As needed, support CEO’s regional contracts team with data tracking and reporting Manage and ensure adherence to local site’s vocational budget including SNAP and other performance based outcomes, staff related costs, and vocational OTPS As needed, provide local presence and manage relationships with other community organizations in the reentry space Provide support as needed to CEO’s regional Investment and/or fundraising teams Program Performance Monitor and supervise site and team progress and effectiveness, ensuring compliance with all organizational policies and procedures Manage team in usage of CEO’s client relationship management system (CRM) to organize information, perform forecasting, and measure the performance of programming Evaluate the performance of all vocational program services and recommend areas to improve on an ongoing basis Manage the recording and tracking of data required by program management, grant contractors, and foundations by monitoring enrollment, case files, placement, and retention metrics Team Management Support Hire, supervise, and support a diverse, high-performing local team to serve participants and achieve our local program outcomes Ensure ongoing engagement in learning on specific areas of program delivery, supporting staff in obtaining the necessary resources and training needed to successfully carry out CEO’s vision and mission Build environment of collaboration, disciplined pursuit of goals, and inclusion by fostering communication, accountability, and support across team members Coach and provide feedback to team members to drive employee performance, and support team in gaining access to resources in areas of individual and team development Leverage employee insights and feedback to respond to needs and determine areas of individual and team development Model strong communication and collaboration between sites, teams, and departments Prioritize team-building, culture-building, and celebrations of individual and team accomplishment along with initiatives to develop a sense of shared purpose Model CEO’s organizational values in management practice, empowering employees to lead through CEO values Additional responsibilities as assigned, including coverage for team members Who You Are You have 3+ years of program implementation experience in a fast-growing and results-oriented nonprofit environment; program management experience preferred Working knowledge of the criminal justice and workforce development systems Proficiency and experience in meeting performance based goals Proficiency and experience collecting, analyzing, and applying data to drive program strategy and decision making Comfortable with technology, including Google Suite and Salesforce Serves as an exemplary model of CEO’s values and living CEO’s management philosophy You have a deep dedication to social justice, criminal and/or economic justice You have the ability to motivate and inspire others to achieve their goals, helping individuals identify, capitalize upon, and apply their strengths You have attention to detail and strong project management capabilities You have demonstrated practice of regularly collecting, analyzing, and applying data to drive program strategy and decision making You have a high level of personal integrity and commitment to excellence and deep impact You have the ability to identify, anticipate, and analyze potential problems and solutions, and decide on and implement a course of action Compensation The salary range for this position is $82,000-$85,000 annually. In an effort to be both equitable and transparent, CEO's compensation philosophy considers a variety of factors, including, but not limited to, experience, internal equity, and home office location in making a final determination on our salary offer. We recognize that salary is a part of the overall compensation package and also provide a comprehensive benefits package, including medical and dental coverage, as well as professional development opportunities to our staff. We also offer paid parental leave, participation in a retirement plan, sick and vacation leave, paid holidays and more. We are a workplace that promotes continual learning and teamwork, offering lunch and learns, team outings, holiday gatherings and more for our staff. More About Us Center for Employment Opportunities believes that everyone deserves the chance to shape a stronger future for themselves, their families, and their communities. People who are justice involved are highly encouraged to apply for vacant positions at all levels. CEO is committed to the CROWN Act, and creating an open space where our employees can present as their true authentic selves. All qualified applicants will be considered for employment without unlawful discrimination based on race, color, religion, national origin, sex, age, gender, gender identity, disability, marital status, sexual orientation, military status, prior record of arrest or conviction, citizenship status, current employment status, caregiver status, or any other category protected by federal, state, or local law. We value diverse experiences, including with regard to educational background and justice system contact. Please note that due to the volume of resumes received, we are unable to contact each applicant regarding the status of each position or reply to candidates' inquiries via phone or email.", "summaryDescription" : "Program Manager at Center for Employment Opportunities. Skills: Program operations, Program performance, Team management. Oversee daily operations of local site's vocational program. Ensure fidelity to program model", "postedDate" : "2026-06-16T01:21:39.222", "createdAt" : "2026-06-16T01:21:39.222", "lastUpdated" : "2026-06-16T11:13:15.394", "ingestTimestamp" : "2026-06-16T01:21:39.222", "mongoId" : "6a308756f292fd229c087eac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data tracking", "Performance evaluation", "Budget management", "Program operations", "Program performance", "Team management", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Program management", "Vocational program model", "Reentry employment", "Workforce development" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 403.08475, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305124f292fd229cefafc1", "title" : "Applied Learning Manager", "company" : "Guild", "industry" : "Education", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Education industry in Denver, CO, adjusted for company size and seniority." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T07:54:56.094", "fingerprint" : "68a2920422d25241da8e9855c0cfebb660c5efce464f6fe594db0311f3e1fd65", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.guild.com/open-positions-at-guild?gh_jid=7979184", "externalId" : "7979184", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "experienceLevel" : "Manager", "majorSkills" : "Product strategy, Roadmap, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories" ], "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. You can read about our culture principles here. We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of Guild’s people managers — helping you know what to expect from your experience here. If you are an Internal Candidate, please apply via our Internal Job Board. ---- *Please note this hybrid role is based in our Denver, CO office. Through our Denver Density program, you'll be on site three days a week with fellow Denver locals as we aim to foster collaboration and connection. Relocation assistance is available for qualified candidates interested in moving to Denver.* As an Applied Learning Manager at Guild, you lead strategic programs and workstreams that bring Guild's Applied Learning offering to life for employer partners through the Navigator product experience - translating employer workforce needs, priorities, and desired outcomes into learner and administrator experiences that deliver a strong ROI and outcomes for Guild. You collaborate closely with a range of Internal Guild teams to ensure that design is completed and requirements gathered to set Employer Partners' programs up for successful implementation and delivery, with the goal of accelerating Guild's mission and expanding Guild's market. You independently manage external partner relationships at an appropriate level of complexity and visibility, proactively identify issues and solutions across accounts and content areas, and spearhead the cross-functional coordination that advances Applied Learning. You serve as a key source of insight for the team and the broader function — leveraging deep expertise across employers to identify patterns, generate strategic recommendations, and shape how Guild's solution, processes, and tools evolve. Key Responsibilities: Customer Needs Translation understand employer processes deeply (e.g., clinical placements, hiring workflows, compliance requirements) Serve as the primary owner of relevant employer relationships for Applied learning, leading review cycles of milestones and tasks, incorporating modifications, and securing approvals Conduct research on target roles as necessary to inform content design and ensure Applied Learning offerings deliver on their promised value Earn external partner trust and increase their satisfaction through partnership support, surfacing key insights, and executing on initiatives that make Guild a valuable partner Ongoing Content iterate rapidly based on employer feedback Monitor performance to drive outcomes of Navigator programs to surface critical insights for EPS Account Managers and own improvements in line with Employer Expectations Playbook Development identify and lead opportunities to improve the quality, consistency, and efficiency of the team's work Coach and develop team members on the team, providing regular feedback on work quality, model strong partner engagement practices, support career development conversations, and contribute to team onboarding Product Development represent Applied Learning in cross-functional strategic conversations Strategic Project Leadership Support Director in setting and leading team priorities, ways of working, and driving strategic projects to ensure high-quality delivery of Applied Learning cross-functionally Own implementation of strategic initiatives that support the growth and scalability of Applied Learning, expand AL offerings, and promote AL awareness Qualifications: You are a strong fit if you: Are a strong relationship builder who can own relationships from employer stakeholders to internal support specialists and learners Are a strong communicator, able to deliver simplicity on the other side of complexity, with excellent writing and content design skills Have experience across content development, product operations, and customer implementation Can get smart quickly on new-to-you topics, from healthcare career pathways to payment system configurations Are deeply well-versed in education technology, learning experience design, or workforce development programs Are excited about a zero-to-something environment that is fast-paced and iterative, with an \"all hands on deck\" and \"no task too small\" culture Want to wear many different hats - from strategic content architecture to tactical system configuration Set an example for others on quality, attention to detail, efficiency, and execution Are situationally adaptable, thriving in ambiguity and capable of juggling competing priorities Have an unrelenting growth mindset, with eagerness and ability to learn and teach new things Possess strong attention to detail, systems thinking, and technical aptitude for working in admin tools Are a heavy user of AI and excited to develop AI-focused scaling processes as a core part of the role Preferred: Are deeply well-versed in education technology, learning experience design, or workforce development programs Are interested in evolving toward Product Management or Design, eager to build skills in user research, product strategy, and tool development by working at the intersection of operations and product Have some familiarity with the industries where our Navigator product operates - whether that's healthcare (and can think alongside clinical leaders on workforce and career pathway challenges) or frontline industries like distribution, fulfillment, manufacturing, or workforce redeployment programs where upskilling trades workers is the core opportunity We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $100,000 - $125,000 PLUS variable (bonus) compensation eligibility and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity. Posting Date: June 15, 2026 *This role will stay open for a minimum of 3 days. Guild partners with the country’s most innovative employers, including Chipotle, Target, Walgreens, JPMorgan Chase, Hilton, Spectrum, PepsiCo, Tyson, and more, to build the talent needed for today and a resilient workforce for tomorrow. Guild helps employers identify, develop, and mobilize internal talent, enabling workers to gain skills for in-demand roles and companies to stay agile. By connecting employees to real-world learning, coaching, and career support, and providing companies with actionable talent insights, Guild transforms all talent into high-impact contributors and positions companies for long-term, sustainable growth. For more information, visit https://www.guild.com. Guild is a female-founded, certified B Corp. The company has been recognized by Fortune’s Change the World list (2021, 2025), the Forbes Cloud 100 (2020–2025), Great Place to Work (2022–2025), CNBC’s Disruptor 50 (2021–2024), TIME’s 100 Most Influential Companies (2022), Inc.’s Best-Led Companies (2021), Fast Company’s World Changing Ideas (2020), and B Lab’s Best for the World (2019), among many others. Guild is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let your recruiter know. We currently offer the following benefits: Access to low-cost, high-quality health care options through Collective Health and Kaiser (due to coverage limitations, Kaiser is currently only available in CA 2-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits. Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services Education benefits and tuition assistance to help your future development and growth Our home and headquarters in Denver, but some of our roles allow for remote work, allowing us to reach the best talent across the US. Please refer to the job location referenced below the job posting title to determine location. Roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D. C. State locations and specifics are subject to change as our hiring requirements shift. PRIVACY NOTICE I understand that I am applying for employment with Guild and am being asked to provide information in connection with my application. I further understand that Guild gathers this information through a third-party service provider and that Guild may use other service providers to assist in the application process. Guild may share my information with such third-party service providers in connection with my application and for the start of employment. I understand and agree to Guild's use of my information in accordance with Guild's Privacy Policy and, for applicants that are residents of the State of California, Guild's Applicant Privacy Notice and California Notice at Collection.", "summaryDescription" : "Applied Learning Manager at Guild. Skills: Product strategy, Roadmap, User stories. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T23:15:33.601", "createdAt" : "2026-06-15T23:15:33.601", "lastUpdated" : "2026-06-16T07:54:56.094", "ingestTimestamp" : "2026-06-15T23:15:33.601", "mongoId" : "6a305124f292fd229cefafc1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Roadmap planning" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 402.98303, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.92 }, { "id" : "6a30805ff292fd229c064e47", "title" : "Applied Data Scientist", "company" : "dunnhumby", "industry" : "Consulting", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Applied Data Scientist in Gurugram, India, adjusted for mid-seniority and the technology industry." }, "location" : "Gurugram", "locations" : [ "Gurugram" ], "timestamp" : "2026-06-16T11:52:57.329", "fingerprint" : "74ac98f3a2e6965c50d1924106e84cd259195f5bb50fc2256b8c6387da17df38", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dunnhumby/jobs/7773279003", "externalId" : "7773279003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, India", "minimumEducation" : "Degree", "technicalSkills" : "Python, SQL", "hardSkillsList" : [ "Statistical Modelling", "Data Science" ], "hardSkills" : [ { "name" : "Statistical Modelling", "level" : "intermediate" }, { "name" : "Data Science", "level" : "intermediate" } ], "coreResponsibilities" : "Investigate complex applications, Develop complex applications, Implement complex applications, Deploy complex applications, Distil complex problems into insights, Deliver impactful solutions", "teamCollaboration" : "Working alongside colleagues", "domainKnowledge" : "Customer Data Science", "domainList" : [ "customer-data-science" ], "domainSpecificKnowledge" : [ "Customer Data Science" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Human creativity", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Make a tangible impact on customer experience", "qualificationsBasic" : "Programming skills (Python and SQL), Analytical Techniques and Technology, Logical thinking and problem solving, Statistical Modelling, Experience applying data science", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)", "summaryDescription" : "Applied Data Scientist at dunnhumby. Investigate complex applications. 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External vendors; Internal stakeholders", "projectManagementSkills" : [ "Program management", "Project management", "Risk management", "Budget management" ], "domainKnowledge" : "Workplace health and safety; Safety regulations", "domainList" : [ "workplace-health-and-safety", "safety-regulations" ], "domainSpecificKnowledge" : [ "Workplace health and safety", "Safety regulations" ], "toolProficiency" : [ "Microsoft Office Suite", "Project management software" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Policy development; Procedure documentation", "problemSolvingSkills" : "Root cause analysis; Hazard identification", "outcomesObjectives" : "Reduce workplace incidents; Improve safety compliance; Enhance employee safety awareness", "qualificationsBasic" : "5+ years of experience in program or project management, Bachelor's degree or equivalent experience", "qualificationsPreferred" : "Master's degree in a related field, Experience in a global organization, Experience with health and safety programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our mission to make Amazon the global benchmark for safety excellence. We are looking for a results-driven and innovative Program Manager to support the end-to-end product lifecycle for Amazon’s safety management system. You will contribute to goal-setting, intake, prioritization, requirements gathering, launch, and training support for the WHS organization. You will collaborate closely with customers and stakeholders to develop and launch effective solutions addressing their needs, and design effective communication mechanisms to keep stakeholders informed about priorities, progress, risks, and strategy. This role requires a detail-oriented professional with program management experience in complex operational and regulatory domains. The ideal candidate must possess strong communication skills and demonstrate the ability to influence and collaborate with stakeholders across all organizational levels. Key job responsibilities * Strategic Planning and Vision: Contribute to the strategy and roadmap for Amazon’s safety management system, ensuring alignment with customer needs and organizational goals. *Stakeholder and Customer Engagement: Manage stakeholder relationships across functions, effectively communicating vision and progress. Dive deep into customer feedback to understand pain points and drive solutions that meet their needs. *Operational Excellence and Change Management: Implement effective change management strategies for product launches and iterations. Maintain high standards for operational excellence, ensuring efficient processes and clear communication channels. *Performance Measurement and Quality Assurance: Use high judgment to test assumptions and validate product directions. Establish metrics to measure success and ensure continuous improvement based on quantitative and qualitative feedback. *Cross-functional Collaboration: Work closely with Technical Product and Program Managers, engineering teams, and other cross-functional partners to ensure products are delivered with the right feature set and high quality, leveraging strong written and verbal communication skills to ensure alignment and collaboration. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Amazon Workplace Health & Safety (WHS) is a global organization focused on keeping Amazon Operations teams safe every day. With over 10,000 dedicated safety professionals, the team supports more than one million Operations employees across six continents, ensuring workplace safety and well-being. Basic Qualifications: - 3+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience working cross functionally with tech and non-tech teams - Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field - Experience owning program strategy, end to end delivery, and communicating results to senior leadership - Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Preferred Qualifications: - 3+ years of driving end to end delivery, and communicating results to senior leadership experience - 3+ years of driving process improvements experience - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules 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 $66,800/year in our lowest geographic market up to $142,800/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" : "Program Manager, Workplace Health and Safety at Amazon.com Services LLC. Skills: Program management, Health and safety, Cross-functional coordination. Manage and execute workplace health and safety programs. Develop and implement safety policies and procedures", "postedDate" : "2026-06-14T19:58:27.416", "createdAt" : "2026-06-14T19:58:27.416", "lastUpdated" : "2026-06-16T02:10:13.562", "ingestTimestamp" : "2026-06-14T19:58:27.416", "mongoId" : "68e2209b70f0b99d587827b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101311/apply", "salaryAnnualMin" : 66800, "salaryAnnualMax" : 142800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Risk assessment", "Data analysis", "Budget management", "Program management", "Health and safety", "Cross-functional coordination", "Project management", "Cross-functional team leadership", "Vendor management", "Stakeholder management", "Operational metrics analysis", "Resource planning", "Process improvement", "Risk management", "Workplace health and safety", "Safety regulations", "Microsoft Office Suite", "Project management software" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 399.58932, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ccd1574d8ee00a0a28e10", "title" : "ML / CV Engineer (Thermal Detection & Tracking)", "company" : "Everstar", "industry" : "Manufacturing", "salary" : { "min" : 960000.0, "max" : 1560000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for ML/CV Engineer in Kyiv, Ukraine, adjusted for mid-seniority and technology industry." }, "location" : "Kyiv | Київ, UA", "locations" : [ "Kyiv | Київ", "UA" ], "timestamp" : "2026-06-16T01:26:08.345", "fingerprint" : "641a27a116da5a26b12d12143e69a36b5ef81672424c6e9d14c8c54aba120dc7", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://everstar.breezy.hr/p/30141458192a-ml-cv-engineer-thermal-detection-tracking", "externalId" : "30141458192a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Develop and produce technical equipment, Develop and produce electronic solutions", "domainKnowledge" : "Thermal detection; Tracking systems", "domainList" : [ "thermal-detection", "tracking-systems" ], "domainSpecificKnowledge" : [ "Thermal detection", "Tracking systems" ], "innovationCreativity" : "R&D projects", "rawDescription" : "Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну роль. Ця вакансія у R&D-команду, що розробляє та виробляє техніку й електронні рішення, які працюють на реальному полі бою, а не в красивих пр", "summaryDescription" : "ML / CV Engineer (Thermal Detection & Tracking) at Everstar. Develop and produce technical equipment. 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Coordinate with other functions; Agree corrective actions", "projectManagementSkills" : [ "Project Management", "Planning", "Control", "Reporting", "Risk Management" ], "domainKnowledge" : "Aerospace; Defense; Security; Avionic Equipment; Aircraft Cockpit Computers", "domainList" : [ "aerospace", "defense", "security", "avionic-equipment", "aircraft-cockpit-computers" ], "domainSpecificKnowledge" : [ "Aerospace", "Defense", "Security", "Avionic Equipment", "Aircraft Cockpit Computers" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft Project", "Microsoft Word" ], "communicationSkills" : "Negotiation; Reporting", "continuousLearning" : "Training; Professional development", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Travel required", "outcomesObjectives" : "Achieve project objectives; Ensure client satisfaction", "qualificationsBasic" : "1-3 years experience in Project Management, Knowledge of Project Management principles, Knowledge of planning and control methodologies, Knowledge of economic indices, Knowledge of compliance vs Security, Knowledge of Trade Compliance, Knowledge of Health & Safety, Good preparation for technical and economic topics, Good knowledge of English (B2)", "qualificationsPreferred" : "Master's degree in Engineering, PMI certification", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Job Description:** Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multi dominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All'interno dell’Area Lob Avionic Equipment/AIRCRAFT & COCKPIT COMPUTERS PROGRAMS stiamo ricercando **un/a Program Manager** per la nostra sede di Pomezia. **La persona si occuperà delle seguenti attività:** * Gestione programmi media complessità sia in ambito nazionale che internazionale * Operare in autonomia al fine di assicurare il raggiungimento degli obiettivi di progetto, non solo dal punto di vista economico-finanziario, ma anche garantendo il rispetto degli accordi contrattuali con il Cliente (esterno/interno) * Coordinamento e gestione dei meeting di avanzamento, misurazione performance e pianificazione/organizzazione delle attività di collaudo/consegna con il Cliente * Supportare attivamente le fasi di \"business winning\" e garantire il monitoraggio e l'avanzamento dei progetti nelle fasi di \"business execution\", interfacciandosi con i vari stakeholders delle altre Funzioni Aziendali e concordando con il responsabile della linea le eventuali azioni correttive al fine di assicurare il successo del progetto e la soddisfazione del Cliente * Gestione della compliance contrattuali in accordo alle procedure Aziendali e delle leggi nazionali con particolare riguardo agli aspetti di: Legali, Sicurezza, Trade compliance, Health & Safety, Processo di Acquisti e di rendicontazione * Gestione del Rischio * Partecipazione ai bid team per l’elaborazione delle principali offerte commerciali * Coordinamento circa la definizione e raccolta dei costi * Reporting al management dell’analisi dei risultati misurati * Partecipazione nel processo di miglioramento continuo (process improvement) * Partecipazione nelle attività di formazione aziendale per i processi di project management **Titolo di studio:** Laurea Magistrale in ambito Tecnico o gestionale, preferibilmente Ingegneria **Livello di esperienza richiesto:** Junior: 1-3 anni di esperienza **Competenze e conoscenze tecniche:** * Buona preparazione di base finalizzata alla corretta gestione e comprensione degli argomenti tecnici ed economici * Conoscenza dei principi e dei processi di Project Management * Conoscenze delle metodologie di pianificazione e controllo avanzamento del progetto * Conoscenza degli indici economici di commessa * Conoscenze delle tematiche di compliance vs Security, Trade Compliance ed Health & Safety * Precedente esperienza lavorativa in ambito Project Management * Certificazione PMI gradita (plus) **Competenze comportamentali:** * Capacità comunicative e di negoziazione * Capacità di Leadership * Problem solving * Team working * Capacità decisionale * Capacità di delega * Approccio organizzato e sistematico alla sintesi (reporting). * Gestione del tempo e delle priorità * Proattività * Flessibilità **Conoscenze linguistiche:** Buona conoscenza della lingua inglese scritta e parlata, livello minimo B2. **Competenze informatiche:** * Conoscenza degli strumenti di Microsoft Office, in particolare Word, Excel e Project. * Conoscenza degli applicativi SAP **Altro:** La/il candidata/o ideale offre la propria disponibilità a svolgere l’attività lavorativa principalmente in sede e ad effettuare trasferte di breve/media durata, dopo adeguato training on the job, in Italia e/o all’estero. **_Coinvolgimento, valorizzazione delle competenze_** _, cura del**benessere** e della **sicurezza delle persone** sono i cardini della nostra cultura aziendale._ _Ci impegniamo ogni giorno a favorire un ambiente di lavoro**inclusivo e stimolante** , promuovendo attivamente i principi di **inclusione, equità e valorizzazione delle diversità**._ **_Cosa offriamo?_** * _Il nostro contratto collettivo del lavoro di riferimento è il CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti;_ * _Modalità di lavoro: Ibrida;_ * _Categoria contrattuale: Impiegato ;_ * _Tipologia contrattuale: tempo indeterminato;_ * _Retribuzione annua lorda (RAL)/ range retributivo _:32.731,92 - 40.000_ ;_ * _Tredicesima mensilità;_ * _IMPIEGATI: premialità legata ai risultati di Business *;_ * _Buoni Welfare dal valore di 250 euro annui;_ * _MENSA AZIENDALE ;_ * _Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill;_ * _Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre_ * _persone, offrendo molteplici soluzioni vicine alle loro esigenze._ **_L’azienda si riserva la possibilità di effettuare valutazioni in merito al livello di inquadramento e alla proposta economica, sulla base di criteri oggettivi emersi nel corso del processo di selezione e in coerenza con la seniority del/della candidato/a individuato/a e della posizione, nel rispetto dei principi di equità, trasparenza e pari opportunità previsti dalla normativa vigente._** **_Aspettiamo la tua candidatura_** _: inviaci il tuo CV entro**tre settimane** dall’apertura dell’annuncio di lavoro. _ **_Come funziona il processo di selezione?_** _A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti._ _Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e attitudinale, seguito da un’intervista di approfondimento tecnico con il Business._ _Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo._ **Seniority:** **Primary Location:** IT - Pomezia **Additional Locations:** **Contract Type:** Permanent **Hybrid Working:**", "summaryDescription" : "Program Manager at Leonardo. Skills: Program Management, Project Management, Stakeholder Management. Manage programs of medium complexity. Ensure project objectives are met", "postedDate" : "2026-06-16T04:11:43.616", "createdAt" : "2026-06-16T04:11:43.613", "lastUpdated" : "2026-06-16T15:07:55.249", "ingestTimestamp" : "2026-06-16T04:11:43.613", "mongoId" : "6a3085f9f292fd229c07ced9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://leonardocompany.wd3.myworkdayjobs.com/LeonardoCareerSite/job/IT---Pomezia/Program-Manager_R0024882", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Economic-financial management", "Contractual compliance", "Legal compliance", "Security compliance", "Trade compliance", "Procurement process", "Reporting", "Performance measurement", "Cost control", "Leadership", "Problem solving", "Team working", "Decision making", "Delegation", "Proactivity", "Flexibility", "Program Management", "Project Management", "Stakeholder Management", "Program management", "Business winning", "Business execution", "Risk management", "Bid team participation", "Cost definition", "Reporting analysis", "Process improvement", "Project management training", "Planning", "Control", "Risk Management", "Aerospace", "Defense", "Security", "Avionic Equipment", "Aircraft Cockpit Computers", "PMI certification", "Microsoft Excel", "Microsoft Project", "Microsoft Word" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "_score" : 387.70914, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace & Defense", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30967ef292fd229c0d4657", "title" : "Program Manager", "company" : "Shield AI", "industry" : "V-BAT Program Management", "salary" : { "min" : 110000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States", "Dallas, Texas", "Washington, DC" ], "certifications" : [ "PMP or similar certification" ], "timestamp" : "2026-06-16T11:13:11.605", "fingerprint" : "45f2826aa8782c27f80ea61aee4282f18ee592cede648def0270e214b67993f1", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/4423dbce-f0cf-48ec-bb11-1655eb5fc3f3/apply", "externalId" : "4423dbce-f0cf-48ec-bb11-1655eb5fc3f3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "majorSkills" : "Program management, Process improvement, Cross-functional teams", "majorSkillsList" : [ "Program management", "Process improvement", "Cross-functional teams" ], "coreResponsibilities" : "Manage programs and projects, Oversee operational processes, Coordinate cross-functional teams, Manage vendor relationships, Manage stakeholder expectations, Track and report on operational metrics, Plan and allocate resources, Drive continuous improvement initiatives", "teamCollaboration" : "Cross-functional teams; Vendor relationships; Stakeholder management", "projectManagementSkills" : [ "Program management", "Complex projects", "Resource planning" ], "qualificationsBasic" : "5+ years of experience in program management, Experience managing complex projects, Experience with cross-functional teams, Experience with vendor management, Experience with operational metrics, Experience with resource planning, Experience with continuous improvement", "qualificationsPreferred" : "Master's degree in a relevant field, PMP or similar certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Seeking a Program Manager to lead execution and operational maturity for global Company-Owned, Company-Operated (COCO) unmanned aircraft system (UAS) deployments supporting contracted intelligence, surveillance, and reconnaissance (ISR) missions. This role serves as the critical link between flight operations, logistics, sustainment, subcontractors, finance, and customer stakeholders to ensure successful deployment and sustainment of operational capabilities worldwide. The ideal candidate thrives in fast-paced, ambiguous environments and can drive disciplined execution across organizations while building scalable processes that enable continued growth and mission success. ## What you'll do Deliver proven, exceptional, and reliable performance in support of customer/end-user’s mission through flawless program management. Effectively collaborate, motivate, and lead relevant stakeholders to successfully deliver early, under budget, and with exceptional technical performance.  Manage customer relationships and act as the key point of contact for the program   Astutely balance and rebalance shifting customer priories related to cost, schedule, and technical parameters of programs.   Provide hands-on management of all aspects of the program Drive the accurate and timely tracking and reporting of budget, resource, and project management standard metrics   Complete critical path analyses including the evaluation of potential means to accelerate the pace or mitigate identified risks  Identify potential bottlenecks or delays in programs and drive efforts to ensure projects stay on schedule  Partner with leadership to guide prioritization of projects and utilization of resources Establish and lead a consistent cadence of well-organized, well-facilitated, and effective meetings, including driving all preparation and follow up activities Support an environment where accountability and program execution excellence are core  ## Required qualifications 5+ years of program management experience for Department of Defense programs Ability to run advanced projects/programs consisting of multiple interrelated projects, in a manner that is largely self-directed  Proven ability to focus on long-term business objectives Willingness and ability to travel domestically and internationally as needed  Experience with scheduling tools such as Microsoft Project or Smartsheet Excellent skills in leadership, time management, organization, team management  Excellent interpersonal skills and verbal and written ability  Expert understanding of complex project financials  Demonstrated alignment with Shield AI's values and leadership principles, including accountability, trust, collaboration, and servant leadership Ability to obtain a Secret Security Clearance ## Preferred qualifications Experience supporting unmanned aerial systems, aviation operations, ISR programs, or defense technology programs Familiarity with aircraft sustainment, maintenance operations, or fleet management models Experience managing subcontractors, external service providers, or distributed operational teams Experience building scalable operational processes in startup or high-growth organizations Active Secret Security Clearance PMP certification or equivalent program management training Undergraduate degree in engineering, business, or operations management ## Additional Information #LI-AD6 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Program Manager at Shield AI. Skills: Program management, Process improvement, Cross-functional teams. Manage programs and projects. Oversee operational processes", "postedDate" : "2026-06-15T23:53:26.209", "createdAt" : "2026-06-15T23:53:26.209", "lastUpdated" : "2026-06-16T11:13:11.605", "ingestTimestamp" : "2026-06-16T03:27:22.720", "mongoId" : "6a30967ef292fd229c0d4657", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Program management", "Process improvement", "Cross-functional teams", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Complex projects", "PMP or similar certification" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 386.56714, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Defense Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42ff8b1b0376634c740", "title" : "Program Manager, AWS Applied AI Solutions", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Program Management, finance", "salary" : { "min" : 104100.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:35:13.019", "fingerprint" : "62abe3298e0d0f9b6a6bd2aec761ee391629ac975c45c7ed77f6d1fc1ad15126", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073516/apply", "externalId" : "933fe424-219b-4180-b64b-ed917f28c017", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Strategic planning", "Financial analysis", "Data analytics", "Metric scorecards", "Business requirements" ], "hardSkillsList" : [ "Forecasting tools", "KPI standardization", "Cost transparency", "Process improvements" ], "hardSkills" : [ { "name" : "Forecasting tools", "level" : "intermediate" }, { "name" : "KPI standardization", "level" : "intermediate" }, { "name" : "Cost transparency", "level" : "intermediate" }, { "name" : "Process improvements", "level" : "intermediate" } ], "majorSkills" : "Program leadership, Financial operations, AI solutions", "majorSkillsList" : [ "Program leadership", "Financial operations", "AI solutions" ], "coreResponsibilities" : "Partner with Finance Leadership Team, Manage AWS CFO-lead program(s), Own executive briefing documents, Own metric scorecards, Own strategic insights, Coordinate high-visibility deliverables, Synthesize business results, Synthesize financial results, Drive execution of strategic initiatives, Lead cross-functional programs, Track milestones, Track risks, Track dependencies, Create scalable mechanisms, Monitor program progress, Report program progress, Define project scope, Draft business requirements, Support user testing, Support operational readiness, Drive process improvements, Deliver results", "teamCollaboration" : "Internal stakeholders; External customers; Finance; Data Science; Analytics; Product teams; Engineering teams; Data Engineering; Sales Operations; Business Operations", "projectManagementSkills" : [ "Program strategy", "End to end delivery", "Risk tracking", "Dependency tracking", "Milestone tracking" ], "domainKnowledge" : "Applied AI; Agentic AI applications; Financial planning; Operational success; Artificial intelligence", "domainList" : [ "applied-ai", "agentic-ai-applications", "financial-planning", "operational-success", "artificial-intelligence" ], "domainSpecificKnowledge" : [ "Applied AI", "Agentic AI applications", "Financial planning", "Operational success", "Artificial intelligence" ], "communicationSkills" : "Executive briefing documents; Senior leadership communication; Presenting to executives", "documentationSkills" : "Business requirements documentation", "innovationCreativity" : "Innovation-driven organization; Emerging technologies", "problemSolvingSkills" : "Data-driven improvements; Synthesize results; Process improvements", "outcomesObjectives" : "Accelerate financial success; Accelerate operational success; Drive results", "qualificationsBasic" : "5+ years program management experience, Experience using data and metrics, Experience owning program strategy, Experience end to end delivery, Communicating results to senior leadership, Bachelor's degree", "qualificationsPreferred" : "2+ years communicating with executive audiences, 2+ years presenting to executive audiences, Experience implementing repeatable processes, Driving automation or standardization, Working cross functionally with tech teams, Working cross functionally with non-tech teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AWS Applied AI Solutions Finance team is seeking a highly effective Program Manager to support our fast-growing and innovation-driven organization. Our mission is to build the world’s best agentic AI applications – and we’re looking for a strategic, execution-oriented program leader to help shape how we plan, measure, and accelerate our financial and operational success. This role is ideal for someone who is passionate about artificial intelligence, curious about emerging technologies, and energized by working across teams to drive results. The Program Manager will support a range of cross-functional initiatives across Finance, Data Analytics, and Strategic Planning-while also playing a key role in supporting the CFO and broader Finance leadership. Key job responsibilities AWS-wide Program Leadership - Partner with the Applied AI Finance Leadership Team to manage AWS CFO-lead program(s) with internal stakeholders and external customers - Own executive briefing documents, metric scorecards, and strategic insights for leadership reviews - Coordinate high-visibility deliverables and synthesize business and financial results to support effective decision-making Applied AI Finance Program Management - Drive execution of strategic initiatives across Finance, Data Science, and Analytics, such as forecasting tools, KPI standardization, cost transparency, and automation efforts - Lead cross-functional programs spanning Finance, Product, and Engineering teams, ensuring alignment on goals, timelines, and expected impact - Track milestones, risks, and dependencies while creating scalable mechanisms to monitor and report program progress - Define project scope, draft business requirements, and support user testing and operational readiness - Collaborate closely with partners across Data Engineering, Sales Operations, and Business Operations to drive process improvements and deliver results. Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership - Bachelor's degree Preferred Qualifications: - 2+ years of communicating with and presenting to executive and senior audiences experience - Experience implementing repeatable processes and driving automation or standardization - Experience working cross functionally with tech and non-tech teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,100/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" : "Program Manager, AWS Applied AI Solutions at Amazon.com Services LLC. Skills: Program leadership, Financial operations, AI solutions. Partner with Finance Leadership Team. Manage AWS CFO-lead program(s)", "postedDate" : "2026-06-13T06:31:51.971", "createdAt" : "2026-06-13T06:31:51.971", "lastUpdated" : "2026-06-15T02:35:13.019", "ingestTimestamp" : "2026-06-13T06:31:51.971", "mongoId" : "68c2e42ff8b1b0376634c740", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073516/apply", "salaryAnnualMin" : 104100, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Forecasting tools", "KPI standardization", "Cost transparency", "Process improvements", "Program leadership", "Financial operations", "AI solutions", "Strategic planning", "Financial analysis", "Data analytics", "Metric scorecards", "Business requirements", "Program strategy", "End to end delivery", "Risk tracking", "Dependency tracking", "Milestone tracking", "Applied AI", "Agentic AI applications", "Financial planning", "Operational success", "Artificial intelligence" ], "skillCount" : 22, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 384.3132, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3079cbf292fd229c03521b", "title" : "Program Director", "company" : "Crossroads Treatment Centers", "salary" : { "min" : 115500.0, "max" : 173000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager-level Program Director in Healthcare in North Charleston, SC, adjusted for seniority and company size." }, "location" : "Charleston, SC", "locations" : [ "Charleston, SC", "United States of America" ], "timestamp" : "2026-06-16T15:42:27.344", "fingerprint" : "3ca821dce0e9b58ab3a0f0987df62c48c542a2903b6f99ded770366ce7bf6e34", "source" : "workday", "language" : "en", "applyUrl" : "https://crossroadstreatmentcenters.wd1.myworkdayjobs.com/Crossroads/job/Charleston-SC/Program-Director---North-Charleston--SC_R-104739", "externalId" : "R-104739", "industryFunction" : { }, "locationPoint" : "-34.91667,138.9", "structuredLocations" : [ { "city" : "North Charleston", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.8546197,-79.9748103" } ], "locationText" : "North Charleston, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceLevel" : "Director", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Budget management", "Performance analysis" ], "hardSkillsList" : [ "Operational metrics", "Data analysis" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Process management, Cross-functional coordination, Vendor management, Resource planning", "majorSkillsList" : [ "Process management", "Cross-functional coordination", "Vendor management", "Resource planning" ], "coreResponsibilities" : "Oversee daily operations, Develop and implement operational strategies, Manage cross-functional teams, Coordinate with external vendors, Monitor key operational metrics, Develop and manage operational budgets, Identify and implement process improvements, Ensure compliance with regulations, Manage resource allocation, Report on operational performance", "teamCollaboration" : "Cross-functional teams; External vendors; Senior leadership", "projectManagementSkills" : [ "Process improvement methodologies" ], "communicationSkills" : "Report on performance", "innovationCreativity" : "Process improvement", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve operational efficiency; Achieve strategic objectives; Ensure high performance standards", "qualificationsBasic" : "3+ years of experience in a senior operational role, Bachelor's degree in a relevant field", "qualificationsPreferred" : "Master's degree or MBA, Experience in a fast-paced, high-growth environment, Experience with process improvement methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## **Crossroads Treatment Centers is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.** ## ## ## Since 2005, Crossroads has been at the forefront of treating patients with opioid use disorder. Crossroads is a family of professionals dedicated to providing the most accessible, highest quality, evidence-based medication assisted treatment (MAT) options to combat the growing opioid epidemic and helping people with opioid use disorder start their path to recovery. This comprehensive approach to treatment, the gold standard in care for opioid use disorder, has been shown to prevent more deaths from overdose and lead to long-term recovery. We are committed to bringing critical services to communities across the U.S. to improve access to treatment for over 26,500 patients. Our clinics are all outpatient and office-based, with clinics in Georgia, Kentucky, New Jersey, North and South Carolina, Pennsylvania, Tennessee, Texas, and Virginia. As an equal opportunity employer, we celebrate diversity and are committed to an inclusive environment for all employees and patients. Job Description **Essential Duties and Responsibilities include the following and other duties that are assigned.** * Oversee daily program operations and offer assistance where needed, dependent on certification, licensure, and ability. * Oversee the appropriate application and adherence to Organizational and Program Standards, outlined in the Policy and Procedure Manuals, as well as regulatory procedures issues by applicable regulatory authorities. * Perform all necessary responsibilities as directed by immediate supervisor and/or the governance authority. * Screen and interview new associates for hire as needed and submit requests for approval, as necessary. * Orient all new associates to the program or designate appropriate supervisor to provide orientation - this includes completion of new hires policies, review of associate handbook, and orientation to responsibilities, at minimum. * Conduct employee performance reviews, monitor personnel time, and respond to requests for PTO. * Provide for, arrange, and ensure adequate staff training events and development opportunities. * Meet with program leadership to develop Quality/Performance Improvement plans specific to the program. * Coordinate with internal and external persons and agencies to inform, improve, or supplement service provision. **Qualification Requirements:** To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Position requires constant mental alertness, attention to detail, and high degree of accuracy required in completing all assignments. Strong problem-solving skills. Smart, driven, exceptional work ethic. Must be able to follow oral and written instructions and follow –through on all assignments. Excellent organizational skills. Highly detailed-oriented. Ability to work well in a group setting and independently. **Position Requirements:** **Education and/or Experience:** * Four-year degree in counseling or related field, or experience in another field of similar experience. * A minimum of three years supervisory experience is required. * Experience with Large Team a must * MAT experience is required. * Proven track record * Master's degree in the human services field preferred. * Licensed Counselor in South Carolina is preferred. * If recovering, three years of continuous verifiable abstinence is required. * This position requires early morning hours, beginning at 5:00 AM.", "summaryDescription" : "Program Director at Crossroads Treatment Centers. Skills: Process management, Cross-functional coordination, Vendor management, Resource planning. Oversee daily operations. 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Work alongside technical PM", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Financial services; Personal loans product; Originations; Pre-app; Marketing channel integrations; Fintech industry", "domainList" : [ "financial-services", "personal-loans-product", "originations", "pre-app", "marketing-channel-integrations", "fintech-industry" ], "domainSpecificKnowledge" : [ "Financial services", "Personal loans product", "Originations", "Pre-app", "Marketing channel integrations", "Fintech industry" ], "continuousLearning" : "Continuous learning culture", "innovationCreativity" : "Pushing boundaries of innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Bring next-generation Personal Loans product to market; Achieve durable operating model", "qualificationsBasic" : "Bachelor's Degree, 3 years specialized training/work experience in technology for each missing year of college", "qualificationsPreferred" : "Prior experience in merger/acquisition integration, Personal loans product knowledge, Finance business partnering exposure, Track record building governance frameworks from scratch", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. Two large financial services companies are merging proprietary technologies to bring a next-generation Personal Loans product to market. This role will own governance, operational readiness, risk visibility, and the day-to-day bridge-building that keeps two organizations aligned, especially where accountability, communication, or handoffs are unclear. This role sits at the intersection of two organizations. You'll be the connective tissue translating across teams, surfacing risks before they become blockers, and keeping a complex multi-workstream program moving toward a durable operating model. WHAT YOU'LL OWN Integration Governance able to create structure where none exists Strongly Preferred: - Prior experience in a merger/acquisition integration context - Personal loans product knowledge including originations, pre-app, marketing channel integrations - Finance business partnering exposure (budgets, resource tracking, reporting) - Track record building governance frameworks from scratch, not just inheriting them WHAT MAKES THIS ROLE DIFFERENT The technical program is being built. What's needed now is someone who can govern it, who asks \"have we defined who owns this when it breaks?\" and \"does ops know what they're signing up for?\" You'll work alongside a strong technical PM, not replace one. The value you add is connective: surfacing what's falling through the cracks, building the governance layer, and making sure the program is set up to run long after launch. Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required", "summaryDescription" : "Program Manager at Kunai. Skills: Program management, Governance, Cross-functional coordination. Own integration governance. 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Але досить про нас, розказуємо про головну зірку. Ця вакансія у R&D-команду, що розробляє та виробляє техніку й електронні рішення, які працюють на реальному полі бою, а не в красивих пр", "summaryDescription" : "Middle ML and CV engineer - (daylight Detection & Tracking) at Everstar. Develop and produce equipment. 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This is an opportunity to practice high-quality MSK imaging in a supportive environment with a strong focus on subspecialty excellence, efficiency, and collaborative teamwork. Our group offers a well-balanced practice with competitive financial stability, a strong emphasis on quality of life, and the opportunity for partnership for those who desire it. Physicians benefit from 24/7 coverage support, a mature and stable practice infrastructure, and a dedicated team that prioritizes both clinical excellence and sustainable workflow. 100% MSK Volume Shift Hours: Daytime Location: Onsite in Denver, CO and Remote shifts available Start Date: Flexible Employment Options: Full-time or PRN available ## Responsibilities Responsible for 100% MSK imaging interpretation including MRI, CT, radiographs, spine imaging, and general body imaging High-volume, service-oriented practice requiring strong efficiency and patient-focused care ## Requirements Must be Fellowship trained Must be ABR Board Certified or, if recent graduate, Board Eligible Must be skilled or willing to learn arthrogram injections ## Benefits Partner Salary: $500,000+ plus benefits (partners can earn $500-900k+) Additional bonuses for productivity (Associate and Partner Levels) and Retention Monthly fellowship stipend offered to fellows and residents Annual CME/business expense allowance Partnership Track: 1 year for candidates with 2+ years of experience; 2 years for those with less than 2 years of experience. Student loan support Vacation: Generous time off Internal moonlighting opportunities available Moving Allowance if applicable Comprehensive benefits offerings including multiple medical coverage options, HSA and FSA options, supplemental health, dental, vision, life insurance and disability. Retirement savings including individually directed 401k, with company contributions State-of-the-art PACS system and IT, Aidoc , 24/7 IT support, radiology assistant support   Professional liability / malpractice insurance with tail Monthly cell phone / internet reimbursement Home workstation provided (with setup if desired) Cost of needed licenses covered by practice Credentialing and licensing staff that does a majority of the heavy lifting ## Additional Information Diversified Radiology is a thriving and growing 75+ radiologist group founded in 1927 and partnered with Lumexa Imaging. Our practice is dedicated to providing quality, subspecialized care and expertise in Denver, Colorado and throughout the nation via teleradiology. Our practice is truly ‘diversified’ providing subspecialized diagnostic and interventional excellence to improve patient care with different hospital systems, independent outpatient imaging centers, tertiary care centers, community hospitals, specialty practices, and stand-alone ED and urgent care centers in 18 states and growing. Our case mix and complexity rivals that of teaching hospitals, but in a relaxed practice setting that values work/life balance. Lumexa Imaging is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, or any other protected status protected by applicable law.", "summaryDescription" : "Daytime Musculoskeletal Radiologist Partner-Track at Diversified Radiology", "postedDate" : "2026-06-15T23:24:57.002", "createdAt" : "2026-06-15T23:24:57.002", "lastUpdated" : "2026-06-16T12:54:01.256", "ingestTimestamp" : "2026-06-16T03:24:13.427", "mongoId" : "6a309695f292fd229c0d50b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 500000, "salaryAnnualMax" : 900000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 378.17468, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30592df292fd229cf458d3", "title" : "Program manager -AI and Health and Human Services (HHS)", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Program Manager in AI and Health and Human Services in Austin, TX, adjusted for government industry and contract employment type." }, "location" : "Austin, TX, United States", "locations" : [ "Austin", "TX", "United States" ], "timestamp" : "2026-06-16T10:19:43.413", "fingerprint" : "297b007cfd15ada181c9db8a33c64ab7dc68fbb8a5840cc9e1e77207042ccdf8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000132222171-program-manager-ai-and-health-and-human-services-hhs-", "externalId" : "744000132222171", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "AI", "professionalSkills" : [ "Analytics project management", "Data liaison", "Performance analysis", "Data governance", "Data literacy", "Reporting compliance" ], "hardSkillsList" : [ "Data integration", "Data analysis", "Data extraction" ], "hardSkills" : [ { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" } ], "majorSkills" : "AI, Data Management, Program Management", "majorSkillsList" : [ "AI", "Data Management", "Program Management" ], "coreResponsibilities" : "Translate analytics project intakes, Explain data initiatives, Validate project/program reports, Create and validate visualizations, Develop training sessions, Extract, integrate, and analyze data", "teamCollaboration" : "Cross-functional agile teams; Scrum teams; Agency leaders", "projectManagementSkills" : [ "Agile", "Waterfall", "Scrum", "SAFe" ], "domainKnowledge" : "Health and Human Services; Program data requirements; Federal reporting; State reporting; Regulated environment; Major Information Resources Project; Responsible AI practices", "domainList" : [ "health-and-human-services", "program-data-requirements", "federal-reporting", "state-reporting", "regulated-environment", "major-information-resources-project", "responsible-ai-practices" ], "domainSpecificKnowledge" : [ "Health and Human Services", "Program data requirements", "Federal reporting", "State reporting", "Regulated environment", "Major Information Resources Project", "Responsible AI practices" ], "toolProficiency" : [ "PowerPoint", "Visio" ], "communicationSkills" : "Presentation; Interpersonal skills", "documentationSkills" : "Advanced Planning Documents; Business Case Workbooks", "qualificationsBasic" : "Translating complex analytics project intakes, Explaining complex data initiatives, Complex data programs experience, Collaborating with end-users, Experience with presentation and design tools, Leading hybrid Agile sprint cycles, Experience with Business Intelligence/Data Warehouse, Primary point of contact for program staff, Working in a health and human services environment, Experience with data governance, Experience managing scrum of scrum ceremonies, Ensuring project teams extract data, Collaborating with end-users and performance analysts, Leading a performance management initiative, Championing data literacy, Training and mentoring staff, Experience with State and Federal monitoring, Experience developing Advanced Planning Documents, Experience developing Business Case Workbooks", "qualificationsPreferred" : "Applying responsible AI practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Required Experience translating complex analytics project intakes and business requirements into clear, actionable plans for prioritization and implementation. Experience explaining complex data initiatives in simple, non-technical language to end-users and leaders of all levels. Experience in complex data programs as a senior project manager and/or data liaison role. Experience collaborating with end-users, performance analysts and agency leaders to validate project/program reports, presentations for monitoring and official reporting. Excellent communication, presentation, and interpersonal skills. Experience with presentation and design tools such as PowerPoint and Visio.Experience leading as a senior project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts Experience with Business Intelligence/Data Warehouse Experience acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting. Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements. Experience with data governance and data quality principles Experience managing scrum of scrum ceremonies to sync across Agile sprint teams and applying principles from the Scaled Agile Framework (SAFe) Experience ensuring project teams properly extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs. Experience collaborating with end-users and performance analysts or IT leaders to create and validate visualizations for program monitoring and official reporting. Experience leading a performance management and analytics initiative at a State of Texas agency Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff. Experience training and mentoring staff with varying levels of data literacy. Experience with State and Federal monitoring and reporting compliance for a Major Information Resources Project (MIRP) Experience developing Advanced Planning Documents (APD) and Business Case Workbooks for a Major Information Resources Project (MIRP) with blended State GR and Federal Financial Participation (FFP) - All Funds 1 Preferred Experience applying responsible AI practices and compliance with agency standards. Regards, Mohammed Ilyas, PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Program manager -AI and Health and Human Services (HHS) at Syncreon Consulting. Skills: AI, Data Management, Program Management. Translate analytics project intakes. Explain data initiatives", "postedDate" : "2026-06-15T14:54:35.000", "createdAt" : "2026-06-15T23:57:53.852", "lastUpdated" : "2026-06-16T10:19:43.413", "ingestTimestamp" : "2026-06-15T23:57:53.852", "mongoId" : "6a30592df292fd229cf458d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data integration", "Data analysis", "Data extraction", "AI", "Data Management", "Program Management", "Analytics project management", "Data liaison", "Performance analysis", "Data governance", "Data literacy", "Reporting compliance", "Agile", "Waterfall", "Scrum", "SAFe", "Health and Human Services", "Program data requirements", "Federal reporting", "State reporting", "Regulated environment", "Major Information Resources Project", "Responsible AI practices", "PowerPoint", "Visio" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 377.84756, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307eb6f292fd229c051aca", "title" : "Program Manager", "company" : "Harmattan AI", "industry" : "P&P", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "MAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Program Manager in the Defense industry in Morocco, adjusted for company size and full-time employment." }, "location" : "Morocco", "locations" : [ "Morocco" ], "timestamp" : "2026-06-16T15:48:58.193", "fingerprint" : "6bd18c577057974d9c28eed736727b75799d2fa0d5df8a48efe444a7258cce60", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harmattan-ai/24d8c008-ec8a-4754-9405-7389a2ed37f7/application", "externalId" : "24d8c008-ec8a-4754-9405-7389a2ed37f7", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Morocco", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Morocco", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceLevel" : "Manager", "professionalSkills" : [ "Program management", "Product development", "Customer support", "Business plan management" ], "hardSkillsList" : [ "Contractual compliance", "Risk management", "Issue resolution", "Invoicing", "Revenue triggering" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Contractual compliance", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Issue resolution", "level" : "intermediate" }, { "name" : "Invoicing", "level" : "intermediate" }, { "name" : "Revenue triggering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Program execution, Client interface, Delivery coordination, Compliance oversight", "majorSkillsList" : [ "Program execution", "Client interface", "Delivery coordination", "Compliance oversight" ], "coreResponsibilities" : "Act as single point of contact, Lead cross-functional teams, Coordinate cross-functional teams, Ensure on-time delivery, Ensure on-spec delivery, Deliver complex systems, Deliver mass-produced systems, Guarantee deliverables meet requirements, Anticipate risks, Lead issue resolution, Own program timeline, Ensure billing activation, Track program blockers, Resolve program blockers, Ensure product policies compatibility, Identify missing enablers, Escalate internally", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Program management", "Contractual compliance", "Risk management", "Issue management" ], "domainKnowledge" : "Defense sector; Defense acquisition processes; Autonomous defense systems", "domainList" : [ "defense-sector", "defense-acquisition-processes", "autonomous-defense-systems" ], "domainSpecificKnowledge" : [ "Defense sector", "Defense acquisition processes", "Autonomous defense systems" ], "documentationSkills" : "Documentation skills", "problemSolvingSkills" : "Crisis management; Issue resolution", "qualificationsBasic" : "10+ years program management, Defense sector experience, Program Manager experience, Product development leadership, High volume deliveries leadership, Customer support leadership, Complex deliveries management, Mass production management, Direct client interface, Contractual responsibilities, Defense acquisition processes knowledge, Program milestones knowledge, Compliance documentation knowledge, Manage programs in cutting-edge environments, Manage programs in disruptive environments, Manage complete business plan, Excellent documentation skills, Organizational skills, Leadership skills", "qualificationsPreferred" : "Knowledge of defense acquisition processes, Knowledge of program milestones, Knowledge of compliance documentation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As Program Manager, you will be the operational backbone of our program execution for Europe and Middle-East customers. You are the primary interface with our defense clients, overseeing end-to-end delivery of our systems, ensuring contractual compliance, and coordinating internal teams to meet critical deadlines. You manage risks, resolve crises, and trigger invoicing at the right milestones. This is a client-facing role requiring precision, leadership, and domain expertise. You will ensure Harmattan AI delivers cutting-edge defense products while maintaining a centralized product vision that respects local program constraints. Responsibilities - Customer Interface: Act as the single point of contact for the customer throughout program execution. - Delivery Coordination: Lead and coordinate cross-functional teams to ensure on-time, on-spec delivery of complex and mass-produced systems. - Compliance Oversight: Guarantee that all deliverables meet contractual, technical, and operational requirements. - Crisis Management: Anticipate risks and lead rapid, structured resolution of issues as they arise. - Invoicing & Revenue Triggering: Own the program timeline and ensure billing is activated at contractual milestones. - Issue Management: Track and resolve program-level blockers, both technical and administrative. - Local Interface Enablement: Ensure that centralized product policies are compatible with program-specific and customer-specific constraints. - Enabler Identification: Identify missing enablers and escalate internally to unblock delivery or alignment. Candidate Requirements - 10+ years of experience in program or project management within the defense sector. - Significant experience as a Program Manager, including leading product development, high volumes deliveries, customer support - Proven track record managing complex deliveries and mass-production with direct client interface and contractual responsibilities. - Strong knowledge of defense acquisition processes, program milestones, and compliance documentation. - Ability to manage programs in cutting-edge/disruptive environments. - Proficiency in managing a complete business plan. - Detail-oriented with excellent documentation and organizational skills. - Strong communication and leadership skills, with the ability to motivate and guide teams toward success. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.", "summaryDescription" : "Program Manager at Harmattan AI. Skills: Program execution, Client interface, Delivery coordination, Compliance oversight. Act as single point of contact. Lead cross-functional teams", "createdAt" : "2026-06-16T01:59:46.755", "lastUpdated" : "2026-06-16T15:48:58.193", "ingestTimestamp" : "2026-06-16T01:59:46.755", "mongoId" : "6a307eb6f292fd229c051aca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Contractual compliance", "Risk management", "Issue resolution", "Invoicing", "Revenue triggering", "Leadership", "Program execution", "Client interface", "Delivery coordination", "Compliance oversight", "Program management", "Product development", "Customer support", "Business plan management", "Issue management", "Defense sector", "Defense acquisition processes", "Autonomous defense systems" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 377.43677, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Defense", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ccd1474d8ee00a0a28dbe", "title" : "Computer Vision and Machine Learning Engineer (Daylight UAV detection & tracking)", "company" : "Everstar", "industry" : "Technology", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Computer Vision and Machine Learning Engineer in the Technology industry in India, adjusted for seniority and company size." }, "location" : "Kyiv | Київ, UA", "locations" : [ "Kyiv | Київ", "UA" ], "timestamp" : "2026-06-16T02:44:56.939", "fingerprint" : "fe104a0988826e645d4713302d0a649a8ec620c25669514fae1210b5bdaeaa9a", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://everstar.breezy.hr/p/aee0f6412eec-computer-vision-and-machine-learning-engineer-daylight-uav-detection-tracking", "externalId" : "aee0f6412eec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "kyiv", "state" : "kyiv city", "country" : "Ukraine", "continent" : "europe", "source" : "locations-index", "geo" : "50.45466,30.5238" } ], "locationText" : "Kyiv | Київ, UA", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Create products, Improve products", "teamCollaboration" : "R&D teams", "domainKnowledge" : "MilTech", "domainList" : [ "miltech" ], "domainSpecificKnowledge" : [ "MilTech" ], "innovationCreativity" : "R&D projects", "rawDescription" : "Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну вакансію. Це роль в R&D-команді, де інженери різних напрямів разом створюють і вдосконалюють продукти, що вже довели свою ефективність у сот", "summaryDescription" : "Computer Vision and Machine Learning Engineer (Daylight UAV detection & tracking) at Everstar. Create products. Improve products", "createdAt" : "2026-06-14T20:26:52.227", "lastUpdated" : "2026-06-16T02:44:56.939", "ingestTimestamp" : "2026-06-14T20:26:52.227", "mongoId" : "6a2ccd1474d8ee00a0a28dbe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "MilTech" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 376.57104, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2ca40174d8ee00a09af5cb", "title" : "Workday Certified Time Tracking & Absence Consultant", "company" : "Intecrowd", "industry" : "Consulting", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Workday Certified Time Tracking & Absence Consultant in Australia, adjusted for the technology industry and remote work." }, "location" : "Australia", "locations" : [ "Australia", "New Zealand" ], "certifications" : [ "Workday Certified Time Tracking & Absence Consultant", "Workday Partner Absence Certification", "Workday Partner Time Tracking Certification" ], "timestamp" : "2026-06-15T09:15:14.832", "fingerprint" : "27f918c3e08250084c9ab0bf6edcba32978d2bd0016210e55e6147bc0fca5375", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/intecrowd/jobs/4705069005", "externalId" : "4705069005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" }, { "country" : "New Zealand", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia; New Zealand", "technicalSkills" : "Workday", "professionalSkills" : [ "Integration design", "Deployment strategy", "Solution development", "Integration testing", "Knowledge transfer", "Data conversion", "Configuration testing", "Proposal preparation", "Client demonstrations", "Project status reporting", "Computational thinking", "Algorithmic solutions" ], "hardSkillsList" : [ "Workday configuration", "Workday testing", "Legacy data conversion", "Client requirements gathering", "Prototype development", "Knowledge transfer", "Status reporting", "Algorithmic solution construction" ], "softSkillsList" : [ "Mentoring", "Public speaking" ], "hardSkills" : [ { "name" : "Workday configuration", "level" : "intermediate" }, { "name" : "Workday testing", "level" : "intermediate" }, { "name" : "Legacy data conversion", "level" : "intermediate" }, { "name" : "Client requirements gathering", "level" : "intermediate" }, { "name" : "Prototype development", "level" : "intermediate" }, { "name" : "Knowledge transfer", "level" : "intermediate" }, { "name" : "Status reporting", "level" : "intermediate" }, { "name" : "Algorithmic solution construction", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Public speaking" } ], "majorSkills" : "Workday Time Tracking, Workday Absence, Workday Payroll", "majorSkillsList" : [ "Workday Time Tracking", "Workday Absence", "Workday Payroll" ], "coreResponsibilities" : "Architect Workday solutions, Configure Workday solutions, Test Workday solutions, Foster consultant development, Share expertise, Support proposal preparations, Deliver client demonstrations, Speak at conferences, Gather client business requirements, Design Workday solution, Configure Workday solution, Demonstrate configurations, Develop prototype systems, Assist in testing Workday solution, Complete knowledge transfer, Convert legacy data, Configure integrations, Test integrations, Mentor new consultants, Serve as professional role model, Coach others on product knowledge, Address complex tasks, Facilitate client adoption, Maintain client satisfaction, Provide status reports, Suggest new approaches, Suggest new tools, Deploy Workday efficiently, Deploy Workday effectively, Maintain Workday certifications, Ensure functional solutions compatibility, Assist integrators, Configure integrations, Test integrations, Demonstrate computational thinking, Identify problem components, Analyze patterns, Remove inefficient configurations, Remove inefficient processes, Construct algorithmic solutions, Contribute to culture of education, Mold culture of education, Provide insightful status reports, Highlight risks to project health, Highlight improvements in client adoption", "teamCollaboration" : "Deployment team; Integration consulting team; Team-based projects; Work with team members", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Workday Payroll; Workday Time Tracking; Workday Absence; HCM; Payroll; Absence; Time Tracking; Cloud-native architecture", "domainList" : [ "workday-payroll", "workday-time-tracking", "workday-absence", "hcm", "payroll", "absence", "time-tracking", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Workday Payroll", "Workday Time Tracking", "Workday Absence", "HCM", "Payroll", "Absence", "Time Tracking", "Cloud-native architecture" ], "toolProficiency" : [ "Workday" ], "communicationSkills" : "Clear communication; Concise communication; Verbal communication; Written communication", "continuousLearning" : "Maintain Workday certifications", "innovationCreativity" : "Innovate; Suggest new approaches; Suggest new tools", "problemSolvingSkills" : "Problem components identification; Pattern analysis; Inefficient configuration removal; Inefficient process removal; Algorithmic solution construction", "specialRequirements" : "+/-20% travel", "outcomesObjectives" : "Ensure successful deployment; Maintain ongoing satisfaction; Ensure Intecrowd is referenceable; Ensure Intecrowd is referable", "qualificationsBasic" : "Workday Partner Absence and/or Time Tracking Certification, 4+ years configuring and implementing PATT Solutions, Bachelor’s Degree or equivalent work experience, Previous consulting experience, Previous experience deploying Workday, SAP, Oracle, PeopleSoft, ADP, Ultimate, or similar applications, Demonstrated project management experience, Functional experience in Payroll, Absence and/or Time Tracking, Passion for providing exceptional customer service, Ability to effectively manage against timelines and goals, Excellent verbal and written communication skills, Business analysis and requirements gathering abilities, Ability to learn technology quickly", "qualificationsPreferred" : "Experience deploying multiple HCM/Payroll projects simultaneously a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Founded by former Workday clients, we value partnership and engagement as a cornerstone of our business. With years of functional and technical experience in all phases of Workday's deployment life cycle, we can determine the most efficient integration designs and rapid deployment strategies. We develop maintainable solutions and provide support for integration testing and updates for new Workday releases. As a Workday Certified Time Tracking & Absence Consultant, you will ensure successful deployment by architecting, configuring, and testing Workday solutions to meet the specific needs of the client. Foster the development of other Consultants by sharing expertise. May support proposal preparations, deliver demonstrations to clients, and speak at conferences. This remote role can be located anywhere within the Australia or New Zealand to perform the required responsibilities. KEY EXPECTATIONS Provide expertise in the Workday Payroll product suite, with deep expertise and experience with Absence & Time Tracking Lead the following as a member of a deployment team, or coach others to successfully: gather and document client business requirements, design and configure the Workday solution, demonstrate configurations through the development of prototype systems, assist in testing the Workday solution, and complete knowledge transfer to clients Work with confidential client/data conversion team to help convert legacy data into Workday Assist the integration consulting team in configuring and testing integrations between Workday and other third-party or custom solutions Mentor new consultants and serve as a professional role model as well as coach others on product knowledge Communicate clearly and concisely. Collaborate effectively and synergistically to team-based projects Work with team members to address complex tasks/requirements when other team members need support Facilitate clients’ intellectual and practical adoption of Workday best practices Maintain clients’ ongoing satisfaction, ensuring Intecrowd is referenceable and referable once in production Provide regular status reports to the project managers keeping them apprised of overall project status Innovate and suggest new approaches and tools to deploy Workday efficiently and effectively Maintain Workday certifications and qualifications Ensure functional solutions are compatible with downstream data translation (assist integrators in configuring/testing integrations between Workday and external systems) Demonstrate computational thinking. Identify problem components, analyze patterns, remove inefficient configurations or processes, and construct algorithmic solutions scalable to ongoing client needs Contribute to and mold a culture of continuous education amongst your colleagues, mentees, and managers - serve as a professional role model Provide insightful status reports to project managers that highlight risks to project health and improvements in client adoption REQUIRED SKILLS AND EXPERIENCE Current Workday Partner Absence and/or Time Tracking Certification 4+ years configuring and implementing a combination of Payroll/Absence/Time Tracking (PATT) Solutions Bachelor’s Degree or equivalent work experience Previous consulting experience with a consulting/software company Previous experience deploying Workday, SAP, Oracle, PeopleSoft, ADP, Ultimate, or similar applications Demonstrated project management experience Functional experience in one or more of the following areas: Payroll, Absence and/or Time Tracking Passion for providing exceptional customer service Ability to effectively manage against timelines and goals Excellent verbal and written communication skills Business analysis and requirements gathering abilities Ability to learn technology quickly through instruction and self-training Experience deploying multiple HCM/Payroll projects simultaneously a plus Expected travel is +/-20% depending on project Employer’s Rights: Intecrowd has the right to revise this job description at any time. This job description is not a contract for employment. This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description. Equal Opportunity Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran. Applications for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Intecrowd.", "summaryDescription" : "Workday Certified Time Tracking & Absence Consultant at Intecrowd. Skills: Workday Time Tracking, Workday Absence, Workday Payroll. Architect Workday solutions. Configure Workday solutions", "postedDate" : "2026-06-14T04:35:29.755", "createdAt" : "2026-06-14T04:35:29.755", "lastUpdated" : "2026-06-15T09:15:14.832", "ingestTimestamp" : "2026-06-14T04:35:29.755", "mongoId" : "6a2ca40174d8ee00a09af5cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Workday configuration", "Workday testing", "Legacy data conversion", "Client requirements gathering", "Prototype development", "Knowledge transfer", "Status reporting", "Algorithmic solution construction", "Mentoring", "Public speaking", "Workday Time Tracking", "Workday Absence", "Workday Payroll", "Integration design", "Deployment strategy", "Solution development", "Integration testing", "Data conversion", "Configuration testing", "Proposal preparation", "Client demonstrations", "Project status reporting", "Computational thinking", "Algorithmic solutions", "Project management", "HCM", "Payroll", "Absence", "Time Tracking", "Cloud-native architecture", "Workday Certified Time Tracking & Absence Consultant", "Workday Partner Absence Certification", "Workday Partner Time Tracking Certification", "Workday" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 375.1995, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30564bf292fd229cf26f66", "title" : "Program Manager, EDSP Program", "company" : "ASSPL", "industry" : "Fulfillment Operations Management, Program Management, Logistics", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Mid-level Program Manager in the Logistics industry in Bengaluru, India, with adjustments for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-16T09:23:23.950", "fingerprint" : "1bc61bbbb9610862e045fb4fabe9cce6ee99be8322c9d2d7f4a49d770bd7c071", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448671/apply", "externalId" : "5e7a0495-95d2-4ed7-b52a-8c0aff9f388b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Process improvement", "Stakeholder management", "Account management", "Performance tracking", "Escalation management", "Strategic alignment", "Problem-solving", "Standardization processes", "Operational excellence", "Data-driven decision making", "Process optimization", "Strategic thinking", "Execution capabilities", "Leadership skills" ], "hardSkillsList" : [ "Excel", "SQL" ], "hardSkills" : [ { "name" : "Excel", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "Program management, Account management, Process improvement, Stakeholder management", "majorSkillsList" : [ "Program management", "Account management", "Process improvement", "Stakeholder management" ], "coreResponsibilities" : "Manage Top-10 Delivery Service Partners, Oversee hundreds of partners, Lead Project Baithak, Conduct monthly business reviews, Conduct quarterly business reviews, Track performance, Manage IN eDSP partners, Spearhead partner escalation management, Drive prevention initiatives, Interact with operations teams, Interact with finance teams, Interact with compliance teams, Interact with legal teams, Maintain strategic alignment, Navigate complexity, Navigate ambiguity, Solve operational challenges, Develop standardization processes, Balance stakeholder interests, Create frameworks for undefined problems, Establish new operational standards, Translate partner feedback into solutions, Develop novel approaches to partner management, Develop novel approaches to operational excellence, Strategically manage relationships with top-tier delivery partners, Develop relationships with top-tier delivery partners, Drive operational excellence across the network, Monitor partner account level metrics, Implement scalable solutions, Lead partner escalation program, Maintain green resolution rate, Spearhead initiatives to improve operational efficiency, Oversee EDSP performance metrics, Design automated business review processes, Collaborate with finance teams, Collaborate with legal teams, Collaborate with compliance teams, Resolve partner issues, Improve partner profitability, Improve operational value, Manage multiple complex workstreams, Balance short-term operational needs, Balance long-term strategic objectives, Design automated business review systems, Develop tracking mechanisms for account level monitoring, Create escalation management frameworks, Conduct monthly business reviews with metrics tracking, Implement weekly performance monitoring programs, Maintain continuous improvement initiatives, Drive results in an ambiguous environment, Maintain focus on customer satisfaction, Maintain focus on operational excellence, Provide leadership updates, Communicate with stakeholders, Develop tracking systems, Maintain tracking systems, Develop scorecards, Maintain scorecards", "teamCollaboration" : "Cross-functional teams; Internal teams; Operations teams; Finance teams; Compliance teams; Legal teams", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Last-mile delivery; Delivery Service Partners", "domainList" : [ "last-mile-delivery", "delivery-service-partners" ], "domainSpecificKnowledge" : [ "Last-mile delivery", "Delivery Service Partners" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Leadership updates; Stakeholder communications", "innovationCreativity" : "Innovative problem-solving; Innovative solutions", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "outcomesObjectives" : "Ensure network-wide partners' success; Improve operational efficiency; Improve partner profitability; Improve operational value; Enhance delivery partner ecosystem", "qualificationsBasic" : "4+ years program or project management experience, 4+ years working cross functionally with tech and non-tech teams, 4+ years defining and implementing process improvement initiatives using data and metrics, Advanced Excel (Pivot Tables, VLookUps), SQL knowledge, Define program requirements, Use data and metrics to determine improvements", "qualificationsPreferred" : "4+ years driving end to end delivery, Communicate results to senior leadership, 4+ years driving process improvements, Stakeholder management experience, Deal with multiple stakeholders at varied levels, Build processes, Project management, Schedules", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Key accounts management role encompasses comprehensive strategic oversight of Amazon's last-mile delivery network, with primary focus on managing Top-10 Delivery Service Partners (DSPs) while overseeing a broader network of multiple of hundred partners. The position leads Project Baithak, a crucial initiative involving monthly and quarterly business reviews and performance tracking, while simultaneously managing the IN eDSP partners to ensure network-wide partners' success . Core responsibilities include spearheading partner escalation management, driving prevention initiatives. The role requires direct interaction with multiple stakeholders including operations, finance, compliance, and legal teams, while maintaining strategic alignment with Amazon's last-mile delivery objectives. Ambiguity: The position operates in a highly dynamic environment where navigating complexity and ambiguity is paramount. This role demands innovative problem-solving approaches to address diverse operational challenges across the partner ecosystem. A key aspect involves developing and implementing new standardization processes in an evolving business landscape, while balancing multiple stakeholder interests. The position requires creating frameworks for undefined problems and establishing new operational standards, often translating ambiguous partner feedback into actionable, scalable solutions that benefit the entire network. This includes developing novel approaches to partner management and operational excellence in areas where precedents may not exist. Scope and Impact: As an Account Management Lead for the Extended Delivery Service Provider Program Team, role is responsible for strategically managing and developing relationships with top-tier delivery partners while driving operational excellence across the network. The role encompasses conducting monthly and quarterly business reviews, monitoring partner account level metrics, and implementing scalable solutions for a network of multiple of hundred delivery partners. Role leads the partner escalation program with a focus on maintaining green resolution rate, while simultaneously spearheading initiatives to improve operational efficiency. Key responsibilities include overseeing EDSP performance metrics, designing automated business review processes, and collaborating with cross-functional teams including finance, legal, and compliance to resolve partner issues. Strategic oversight extends to improving partner profitability and operational value through data-driven decision making, process optimization, and the development of innovative solutions to enhance the overall delivery partner ecosystem.. Complexity and Execution: The role demands exceptional strategic thinking and execution capabilities in managing multiple complex workstreams simultaneously. It requires sophisticated stakeholder management across various internal teams while balancing short-term operational needs with long-term strategic objectives. The execution complexity involves designing and implementing automated business review systems, developing comprehensive tracking mechanisms for account level monitoring, and creating robust escalation management frameworks. The program management aspect encompasses conducting monthly business reviews with detailed metrics tracking, implementing weekly performance monitoring programs, and maintaining continuous improvement initiatives across multiple operational parameters. Success in this role requires strong leadership skills to drive results in an ambiguous environment while maintaining unwavering focus on customer satisfaction and operational excellence, demonstrated through regular leadership updates and stakeholder communications, and the development and maintenance of various tracking systems and scorecards Basic Qualifications: - 4+ years of program or project management experience - 4+ years of working cross functionally with tech and non-tech teams experience - 4+ years of defining and implementing process improvement initiatives using data and metrics experience - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience defining program requirements and using data and metrics to determine improvements Preferred Qualifications: - 4+ years of driving end to end delivery, and communicating results to senior leadership experience - 4+ years of driving process improvements experience - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Program Manager, EDSP Program at ASSPL. Skills: Program management, Account management, Process improvement, Stakeholder management. Manage Top-10 Delivery Service Partners. Oversee hundreds of partners", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:00:36.108", "lastUpdated" : "2026-06-16T09:23:23.950", "ingestTimestamp" : "2026-06-15T22:00:36.108", "mongoId" : "6a30564bf292fd229cf26f66", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448671/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Excel", "SQL", "Program management", "Account management", "Process improvement", "Stakeholder management", "Performance tracking", "Escalation management", "Strategic alignment", "Problem-solving", "Standardization processes", "Operational excellence", "Data-driven decision making", "Process optimization", "Strategic thinking", "Execution capabilities", "Leadership skills", "Project management", "Last-mile delivery", "Delivery Service Partners" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 374.7014, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1db70f0b99d58d66d35", "title" : "Coordination Program Manager, Data Center Controls", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Cloud Computing", "salary" : { "min" : 50100.0, "max" : 107200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T00:54:16.220", "fingerprint" : "ba898835cd0cc0fab340b1f3dac5ec75780a3c5d5e2880b59652d6943b873045", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102727/apply", "externalId" : "562613a2-5920-4ca5-9e50-a0b23d0516e0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Program management", "Project management", "Data interpretation", "Forecasting", "Budgeting", "Variance analysis" ], "hardSkillsList" : [ "Data analysis", "Contract interpretation" ], "softSkillsList" : [ "Ambiguity tolerance" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Contract interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ambiguity tolerance" } ], "majorSkills" : "Program coordination, Procurement facilitation, Financial tracking", "majorSkillsList" : [ "Program coordination", "Procurement facilitation", "Financial tracking" ], "coreResponsibilities" : "Facilitate purchase of goods, Facilitate purchase of services, Manage controls projects lifecycle, Write Capital Acquisition Requests, Manage Capital Acquisition Requests, Compile Work Order requests, Submit Work Order requests, Compile Change Order requests, Submit Change Order requests, Submit Purchase Requests, Manage Purchase Orders, Manage invoicing, Manage monthly accruals, Track status of contracts, Track status of budgets, Track status of spend, Manage monthly forecasting, Manage quarterly forecasting, Manage yearly forecasting, Implement finance-related reports, Maintain finance-related reports, Implement coordination reports, Maintain coordination reports, Implement dashboards, Maintain dashboards, Write team documentation, Maintain team documentation, Write team training, Maintain team training, Manage non-technical projects", "teamCollaboration" : "Cross-functional teams; Engineering; Procurement; Finance; Legal", "projectManagementSkills" : [ "Program management", "Project management", "Agile environment" ], "domainKnowledge" : "Data center controls; Building automation", "domainList" : [ "data-center-controls", "building-automation" ], "domainSpecificKnowledge" : [ "Data center controls", "Building automation" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Team documentation; Team training", "qualificationsBasic" : "Bachelor's degree or equivalent, 2+ years program or project management experience, Experience delivering forecasting, Experience delivering budgeting, Experience delivering variance analysis, Experience delivering data interpretation of results", "qualificationsPreferred" : "Experience handling administrative details independently, Experience exercising good judgment, Experience keeping team members informed, Experience dealing well with ambiguity, Experience prioritizing needs, Experience delivering measurable results in agile environment, Knowledge of data center infrastructure design, Knowledge of data center operations, Knowledge of data center delivery, Experience leading process improvements, Ability to interpret contract terms, Ability to interpret contract conditions, Ability to interpret contract exhibits", "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. AWS is seeking an exceptional individual to join the Controls Coordination team as a Coordination Program Manager. We are a team of customer-obsessed Program Managers within the AMER Data Center Capacity and Delivery (DCCD) Controls Engineering team. Our team provides coordination services, leads strategic initiatives, and drives reporting and communication efforts for our Controls customers. We thrive on operational efficiency, and we always insist on the highest standards. In this role, you will be responsible for facilitating the purchase of goods and services for the DCCD Controls Engineering team. You will be involved in the full life cycle of controls projects, working with highly-motivated experts from Engineering, Procurement, Finance, and Legal to complete key deliverables required to deploy, maintain, and improve building automation in AWS data centers. The successful candidate will be a strong communicator (both written and verbal), not be hindered by ambiguity or competing priorities, and have a basic understanding of data center, construction, and building automation concepts. They will be detailed oriented and apply a variety of program coordination tools, methodologies, and techniques that support quick and efficient purchasing across all Controls disciplines. Key job responsibilities - Writing and managing Capital Acquisition Requests (CARs) - Compiling and submitting Work Order (WO) and Change Order (CO) requests - Submitting Purchase Requests (PRs) - Managing Purchase Orders (POs) and invoicing - Managing monthly product and service accruals - Maintaining and tracking the status of contracts, budgets, and spend - Managing monthly, quarterly, and yearly forecasting - Implementing and maintaining coordination- and finance-related reports and dashboards - Writing and maintaining team documentation and training - Managing non-technical projects 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 (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. #DCCD_AMER Basic Qualifications: - Bachelor's degree or equivalent - 2+ years of program or project management experience - Experience delivering forecasting, budgeting, variance analysis, and data interpretation of results Preferred Qualifications: - Experience handling administrative details independently, while exercising good judgment in keeping team members adequately informed - Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment - Knowledge of data center infrastructure design, operations, or delivery - Experience leading process improvements - Demonstrated ability to interpret contract terms, conditions, and exhibits as applicable to project requirements 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 $50,100/year in our lowest geographic market up to $107,200/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" : "Coordination Program Manager, Data Center Controls at Amazon Data Services, Inc.. Skills: Program coordination, Procurement facilitation, Financial tracking. Facilitate purchase of goods. Facilitate purchase of services", "postedDate" : "2026-06-13T08:40:06.492", "createdAt" : "2026-06-13T08:40:06.492", "lastUpdated" : "2026-06-15T00:54:16.220", "ingestTimestamp" : "2026-06-13T08:40:06.492", "mongoId" : "68e6b1db70f0b99d58d66d35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102727/apply", "salaryAnnualMin" : 50100, "salaryAnnualMax" : 107200, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Contract interpretation", "Ambiguity tolerance", "Program coordination", "Procurement facilitation", "Financial tracking", "Program management", "Project management", "Data interpretation", "Forecasting", "Budgeting", "Variance analysis", "Agile environment", "Data center controls", "Building automation" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 374.61234, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca43874d8ee00a09b0c0a", "title" : "Fast Track to Leadership Trainee", "company" : "Picnic", "industry" : "Logistics", "salary" : { "min" : 45000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level e-commerce roles in Germany, adjusted for the specific company and city tier." }, "location" : "Germany ", "locations" : [ "Germany" ], "timestamp" : "2026-06-16T01:07:42.722", "fingerprint" : "021c96bde1cc2ac719cc68879b0f8a9a32e2bfb3d52d591182a94e60b4615b6c", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=7730888", "externalId" : "7730888", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Process management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Operational decision making", "Process optimization", "Data analysis" ], "softSkillsList" : [ "Leadership", "Mentoring", "Motivation", "Coaching" ], "hardSkills" : [ { "name" : "Operational decision making", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Motivation" }, { "name" : "Coaching" } ], "majorSkills" : "Supply Chain Management, Operations Management, Team Leadership", "majorSkillsList" : [ "Supply Chain Management", "Operations Management", "Team Leadership" ], "coreResponsibilities" : "Plan shifts, Coordinate shifts, Lead shifts, Develop people, Create clarity, Master challenging situations, Identify optimization potential, Implement improvement projects, Increase productivity, Simplify processes, Solve bottlenecks, Take responsibility for new environment, Support new FCs, Optimize ordering processes, Support automated FCs", "teamCollaboration" : "Cross-functional teams; International teams", "projectManagementSkills" : [ "Project implementation", "Improvement projects" ], "domainKnowledge" : "Supply Chain; Fulfillment Center Operations; Logistics", "domainList" : [ "supply-chain", "fulfillment-center-operations", "logistics" ], "domainSpecificKnowledge" : [ "Supply Chain", "Fulfillment Center Operations", "Logistics" ], "continuousLearning" : "Internal learning opportunities; Workshops; Bootcamps", "innovationCreativity" : "Test new ideas", "problemSolvingSkills" : "Identify problems; Solve problems", "specialRequirements" : "Shift work, Office and warehouse environment", "outcomesObjectives" : "Increase productivity; Simplify processes; Solve bottlenecks; Elevate supply chain", "qualificationsBasic" : "Master's degree in Logistics, Master's degree in Supply Chain Management, Master's degree in Industrial Engineering, Master's degree in comparable field, First practical experience in supply chain, Fluent German, Very good English skills", "qualificationsPreferred" : "Experience in operations supervisor role, Experience in operations manager role", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Kurz und knapp Du stehst kurz vor deinem Masterabschluss und willst als Graduate mehr als nur einen klassischen Berufseinstieg? Du suchst Verantwortung, Tempo und echte Wirkung in deinem Alltag? Als Fast Track to Leadership Trainee im Bereich Supply Chain und Operations startest du bei Picnic durch: In nur zwei Jahren entwickelst du dich vom Graduate in die Führungsposition als Operations Manager und übernimmst die Verantwortung für Teams, Prozesse und strategische Projekte entlang unserer Supply Chain im Fulfillment. Hands-on, datengetrieben und mit echtem Impact. Das erwartet dich Jahr 1: Operative Grundlagen & Leadership als Operations Supervisor Onboarding & Einstieg: Du startest mit einem strukturierten Onboarding, baust dir ein starkes Netzwerk auf und lernst unser Fulfillment Center (FC) von Grund auf kennen. Schichtleitung im FC: An ca. 3-4 Tagen pro Woche übernimmst du als Operations Supervisor die Verantwortung einer Schicht. Du planst, koordinierst und führst dein Team - und erlebst vom ersten Tag an, wie operative Entscheidungen direkten Einfluss auf unsere Teams und Performance haben. Führung & Coaching: Durch Mentoring, Trainings zu Leadership, Feedback und Motivation lernst du, wie du Menschen entwickelst, Klarheit schaffst und herausfordernde Situationen meisterst. Eigene Projekte mit Impact: Du identifizierst Optimierungspotenziale im operativen Alltag und setzt an deinen 1-2 Projekttagen eigenständig Verbesserungsprojekte um, die Produktivität steigern, Prozesse vereinfachen und Engpässe nachhaltig lösen. Jahr 2: Führung mit Wirkung über Standorte hinweg als Operations Manager (Inter)nationale Perspektive: Ergreife die Chance und bring dein Wissen an anderen Picnic Standorten - national oder international - oder lerne eine andere Abteilung entlang unserer Supply Chain kennen. Du übernimmst Verantwortung in einem neuen Umfeld mit neuen Teams und wächst über dich hinaus. Fokus auf Projekte: Neben deinen ca. 1-2 Schichttagen pro Woche arbeitest du an ca. 3-4 Tagen an standortübergreifenden Initiativen, z. B. bei der Optimierung unserer Bestellprozesse oder bei der Unterstützung neuer (automatisierter) FCs. Mit deinem operativen Know-How und deinem analytischen Blick hebst du unsere Supply Chain auf das nächste Level. Dein nächster Schritt: Nach dem Fast Track stehen dir viele Türen offen: als erfahrener Operations Manager oder in weiteren Positionen innerhalb von Picnic. Das bringst du mit Ein (bald) abgeschlossenes Masterstudium in Logistik, Supply Chain Management, Wirtschaftsingenieurwesen oder einem vergleichbaren Masterstudiengang Erste praktische Erfahrungen im Supply-Chain-Umfeld (z. B. durch Praktika oder Werkstudententätigkeiten) Fließende Deutsch- und sehr gute Englischkenntnisse Freude daran, als Trainee direkt Verantwortung für ein Team zu übernehmen und Menschen zu motivieren und entwickeln Du setzt Ideen mit deiner Hands-on-Mentalität in erfolgreiche Projekte um und gehst als Vorbild voran Ein starkes Zahlenverständnis und die Fähigkeit, Probleme frühzeitig zu erkennen Flexibilität und Begeisterung für eine Rolle, die sowohl im Büro als auch im operativen Lagerumfeld stattfindet, inklusive Schichtarbeit Darauf kannst du dich freuen Starte durch - mit uns: Werde Teil unseres internationalen Teams in einem Umfeld, das echtes Wachstum und eine „Act like an Owner“-Mentalität fördert. Bei uns hast du die Chance, Projekte eigenverantwortlich voranzutreiben, neue Ideen zu testen und direkt miterleben zu können, wie deine Arbeit in unserem schnell wachsenden Unternehmen Wirkung zeigt. Nachhaltigkeit als Kern: Werde Teil der Revolution. Du trägst zu einer grüneren Zukunft bei – durch unsere 100 % elektrische Flotte und eine Lieferkette, die Lebensmittelverschwendung reduziert. Die Basics: Wir stellen dir alles für deinen Erfolg bereit – inklusive Laptop und Handy sowie Zugang zu exklusiven Mitarbeiter-Rabatten (Corporate Benefits) für Reisen, Technik und vieles mehr. Zeit zum Auftanken: Mit 30 Urlaubstagen pro Jahr (bei einer 40-Stunden-Woche) sorgst du für den perfekten Ausgleich zwischen Arbeit und Erholung. Verpflegung für Gewinner: Wir kümmern uns um dich. Genieße jeden Tag ein frisches, kostenloses Frühstück und Mittag- oder Abendessen in unserem Fulfilment Center, dazu gibt es reichlich Snacks, Getränke und Obst für den Energiekick zwischendurch. Unvergessliche Momente: Wir sind mehr als nur ein Team. Von unserem legendären jährlichen Ski-Trip über Weihnachtsfeiern bis hin zu Auftritten unserer eigenen Picnic-Band: Wir feiern unsere Erfolge gemeinsam. Wohlbefinden & Gleichgewicht: Wir bieten dir professionelle Unterstützung für deine mentale Gesundheit mit OpenUp. Individuelle Mobilität:Du erhältst einen Firmenwagen (auch zur privaten Nutzung) und kannst zusätzlich unser „Lease-a-Bike“-Programm nutzen. Lebensmittelretter: Hol dir unsere exklusiven \"Too-Good-To-Go\"-Tüten und rette leckere Lebensmittel – nur für unsere Mitarbeitenden! Lerne & wachse: Profitiere von internen Lern- & Entwicklungsmöglichkeiten durch spannende Workshops und intensive Bootcamps, um deine Skills ständig zu erweitern Bist du neugierig?", "summaryDescription" : "Fast Track to Leadership Trainee at Picnic. Skills: Supply Chain Management, Operations Management, Team Leadership. Plan shifts. Coordinate shifts", "postedDate" : "2026-06-14T21:36:50.105", "createdAt" : "2026-06-14T21:36:50.105", "lastUpdated" : "2026-06-16T01:07:42.722", "ingestTimestamp" : "2026-06-14T21:36:50.105", "mongoId" : "6a2ca43874d8ee00a09b0c0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Operational decision making", "Process optimization", "Data analysis", "Leadership", "Mentoring", "Motivation", "Coaching", "Supply Chain Management", "Operations Management", "Team Leadership", "Process management", "Resource planning", "Continuous improvement", "Project implementation", "Improvement projects", "Supply Chain", "Fulfillment Center Operations", "Logistics" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 374.29996, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69f46f044c40e2acd1b368c2", "title" : "Program Manager, GSF Last Mile Program Team", "company" : "ASSPL", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Logistics", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-commerce Program Manager in Bengaluru, India, adjusted for mid-seniority and manager experience level." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T07:20:44.387", "fingerprint" : "94b458ec1f9aa05331cd36d0b032aca1b734feed483de58eef09cab6939149cf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408631/apply", "externalId" : "45783211-e031-41a4-bdec-104112fdbc08", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL", "professionalSkills" : [ "Process improvement", "Operational performance", "Metric driven", "Cost saving", "Automation" ], "hardSkillsList" : [ "Data analysis", "Process automation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" } ], "majorSkills" : "Program management, Process improvement, Operational metrics", "majorSkillsList" : [ "Program management", "Process improvement", "Operational metrics" ], "coreResponsibilities" : "Implement process improvement projects, Drive operational performance, Reduce upstream defects, Reduce OOR defects, Implement new product initiatives, Drive cost saving projects, Improve automation initiatives, Define input metrics, Define output metrics, Set path to greens, Achieve milestones, Solve problems, Influence stakeholders, Deep dive operational metrics, Identify operational gaps, Suggest long term actions, Meet organizational goals, Execute strategic plans, Collaborate with stakeholders, Lead national projects, Contribute national projects, Invent work flows, Simplify work flows, Build process automation, Earn trust with partners, Execute tasks efficiently", "teamCollaboration" : "Cross-functional teams; Partner teams", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Last Mile Logistics; Quick Commerce; Ultra-Fast Fresh; Hybrid Stores", "domainList" : [ "last-mile-logistics", "quick-commerce", "ultra-fast-fresh", "hybrid-stores" ], "domainSpecificKnowledge" : [ "Last Mile Logistics", "Quick Commerce", "Ultra-Fast Fresh", "Hybrid Stores" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Stakeholder communication", "innovationCreativity" : "Invent work flows; Simplify work flows", "problemSolvingSkills" : "Problem solving; Root cause analysis", "outcomesObjectives" : "Meet organizational goals; Drive operational performance; Reduce defects; Drive cost savings; Improve automation", "qualificationsBasic" : "3+ years program management, 3+ years cross-functional teams, 3+ years process improvement, Advanced Excel, SQL knowledge", "qualificationsPreferred" : "3+ years end to end delivery, 3+ years driving process improvements, Stakeholder management experience, Experience building processes, Project management experience, Schedule management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Worldwide Operations is the underlying fulfillment and customer service engine that ensures Amazon creates the same consistent, world-class customer experience every time. We are looking for high-potential, flexible, innovative, and forward-thinking professionals to join our India Operations team. Are you ready to drive high-visibility, strategic, revenue-generating projects as well as leverage Lean methodologies to lead Operational process improvement initiatives? Are you equally comfortable digging into business requirements as you are drilling into architecture and design with development teams? Join the GSF Last Mile team as a Program Manager. As Program Manager you will be responsible for implementing various process improvement project which will help driving operational performance in a highly metric driven environment. viz. Quality, Cost and Delivery. The role will support three business lines: Amazon Fresh including UFF (Ultra-Fast Fresh) and 3P Hybrid stores network, Sub Same Day (SSD) and Amazon Now (Quick Commerce). Each business line serves distinct customer needs operating across different delivery speed tiers and fulfillment models Basis the nature of the business and charter, the team will work on key pillars of (a) Reducing upstream and OOR defects (b) Implementation of new product initiatives (c) Driving cost saving projects and d) Improving on initiatives which will drive automation. Defining input and output metrics around the key pillars, setting up path to greens and achieving the milestones will be the program managers responsibility. Key job responsibilities Key job responsibilities: 1. Ability to utilize exceptional problem solving and communication skills to influence operations and business stakeholders 2. Deep dive on daily operational metrics, identify gaps and suggest long term actions to meet organizational goals 3. Execute strategic plans on ground in collaboration with other stakeholders 4. Lead or contribute in national level projects on quality improvement/ operational excellence/ cost optimization 5. Invent and Simplify work flows to build process automation and Hands of the Wheel approach with partner teams 6. Earn trust with partner teams to execute routine and unique tasks more efficiently About the team IN GSF Last Mile team supports three business lines: Amazon Fresh (including Ultra-Fast Fresh [UFF] and 3P Hybrid stores network, Sub Same Day, and Amazon Now (quick commerce). Amazon Fresh offers full basket service (daily essentials including Produce and Perishables) through UFF sites and 3P Hybrid retail partnerships. Sub Same Day specializes in local fulfillment via Same day delivery with 2 & 4-hour delivery windows. Amazon Now supports 10-25 minutes delivery of everyday essentials including groceries, electronics, OTC, and household consumables. Basic Qualifications: - 3+ years of program or project management experience - 3+ years of working cross functionally with tech and non-tech teams experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Bachelor's degree - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience defining program requirements and using data and metrics to determine improvements Preferred Qualifications: - 3+ years of driving end to end delivery, and communicating results to senior leadership experience - 3+ years of driving process improvements experience - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Program Manager, GSF Last Mile Program Team at ASSPL. Skills: Program management, Process improvement, Operational metrics. Implement process improvement projects. Drive operational performance", "postedDate" : "2026-06-13T13:34:50.186", "createdAt" : "2026-06-13T13:34:50.186", "lastUpdated" : "2026-06-15T07:20:44.387", "ingestTimestamp" : "2026-06-13T13:34:50.186", "mongoId" : "69f46f044c40e2acd1b368c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408631/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Process automation", "Program management", "Process improvement", "Operational metrics", "Operational performance", "Metric driven", "Cost saving", "Automation", "Project management", "Last Mile Logistics", "Quick Commerce", "Ultra-Fast Fresh", "Hybrid Stores", "Excel", "SQL" ], "skillCount" : 16, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 371.25555, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308a5df292fd229c0960c4", "title" : "Program manager -AI and Health and Human Services (HHS)", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Program Manager in AI and Health and Human Services in Austin, TX, adjusted for contract employment type and government industry." }, "location" : "Austin, TX, United States", "locations" : [ "Austin", "TX", "United States" ], "timestamp" : "2026-06-16T15:17:40.871", "fingerprint" : "e232baef4dc9b1107a56cbf4f062950e4daeafcca19be372de800cf10b5b73e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000132222171-program-manager-ai-and-health-and-human-services-hhs-", "externalId" : "744000132222171", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "AI, Analytics", "professionalSkills" : [ "Project management", "Data liaison", "Performance analysis", "Data governance", "Data literacy", "Reporting" ], "hardSkillsList" : [ "Data analysis", "Data integration", "Data extraction", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Program management, Data analysis, AI, HHS", "majorSkillsList" : [ "Program management", "Data analysis", "AI", "HHS" ], "coreResponsibilities" : "Translate complex analytics project intakes, Translate business requirements, Explain complex data initiatives, Act as data liaison, Collaborate with end-users, Collaborate with performance analysts, Collaborate with agency leaders, Validate project reports, Validate program presentations, Lead hybrid Agile sprint cycles, Create epics, Create stories, Create Waterfall project plans, Create all project artifacts, Act as primary point of contact, Manage scrum of scrum ceremonies, Sync across Agile sprint teams, Apply Scaled Agile Framework principles, Ensure project teams extract data, Ensure project teams integrate data, Ensure project teams analyze data, Create visualizations, Validate visualizations, Lead performance management initiative, Lead analytics initiative, Champion data literacy, Develop training sessions, Conduct training sessions, Train staff, Mentor staff, Develop Advanced Planning Documents, Develop Business Case Workbooks, Apply responsible AI practices", "teamCollaboration" : "Cross-functional teams; Agile sprint teams; Scrum of scrums", "projectManagementSkills" : [ "Agile", "Waterfall", "Scrum", "SAFe" ], "domainKnowledge" : "Health and Human Services; Program data requirements; Federal reporting; State reporting; HHS program needs; State monitoring; Federal monitoring; Major Information Resources Project; Responsible AI practices", "domainList" : [ "health-and-human-services", "program-data-requirements", "federal-reporting", "state-reporting", "hhs-program-needs", "state-monitoring", "federal-monitoring", "major-information-resources-project", "responsible-ai-practices" ], "domainSpecificKnowledge" : [ "Health and Human Services", "Program data requirements", "Federal reporting", "State reporting", "HHS program needs", "State monitoring", "Federal monitoring", "Major Information Resources Project", "Responsible AI practices" ], "toolProficiency" : [ "PowerPoint", "Visio" ], "communicationSkills" : "Non-technical language; Presentation skills; Interpersonal skills", "documentationSkills" : "Project artifacts; Advanced Planning Documents; Business Case Workbooks", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Translating complex analytics project intakes, Explaining complex data initiatives, Complex data programs experience, Collaborating with end-users, Experience with presentation and design tools, Leading hybrid Agile sprint cycles, Experience with Business Intelligence/Data Warehouse, Primary point of contact for program staff, Working in a health and human services environment, Experience with data governance, Experience managing scrum of scrum ceremonies, Ensuring project teams extract, integrate, and analyze data, Leading a performance management and analytics initiative, Training and mentoring staff, Experience with State and Federal monitoring and reporting compliance, Experience developing Advanced Planning Documents (APD), Experience developing Business Case Workbooks", "qualificationsPreferred" : "Applying responsible AI practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Required Experience translating complex analytics project intakes and business requirements into clear, actionable plans for prioritization and implementation. Experience explaining complex data initiatives in simple, non-technical language to end-users and leaders of all levels. Experience in complex data programs as a senior project manager and/or data liaison role. Experience collaborating with end-users, performance analysts and agency leaders to validate project/program reports, presentations for monitoring and official reporting. Excellent communication, presentation, and interpersonal skills. Experience with presentation and design tools such as PowerPoint and Visio.Experience leading as a senior project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts Experience with Business Intelligence/Data Warehouse Experience acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting. Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements. Experience with data governance and data quality principles Experience managing scrum of scrum ceremonies to sync across Agile sprint teams and applying principles from the Scaled Agile Framework (SAFe) Experience ensuring project teams properly extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs. Experience collaborating with end-users and performance analysts or IT leaders to create and validate visualizations for program monitoring and official reporting. Experience leading a performance management and analytics initiative at a State of Texas agency Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff. Experience training and mentoring staff with varying levels of data literacy. Experience with State and Federal monitoring and reporting compliance for a Major Information Resources Project (MIRP) Experience developing Advanced Planning Documents (APD) and Business Case Workbooks for a Major Information Resources Project (MIRP) with blended State GR and Federal Financial Participation (FFP) - All Funds 1 Preferred Experience applying responsible AI practices and compliance with agency standards. Regards, Mohammed Ilyas, PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Program manager -AI and Health and Human Services (HHS) at Syncreon Consulting. Skills: Program management, Data analysis, AI, HHS. Translate complex analytics project intakes. Translate business requirements", "postedDate" : "2026-06-15T14:54:35.000", "createdAt" : "2026-06-16T01:43:07.901", "lastUpdated" : "2026-06-16T15:17:40.871", "ingestTimestamp" : "2026-06-16T01:43:07.901", "mongoId" : "6a308a5df292fd229c0960c4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data integration", "Data extraction", "Data visualization", "Program management", "AI", "HHS", "Project management", "Data liaison", "Performance analysis", "Data governance", "Data literacy", "Reporting", "Agile", "Waterfall", "Scrum", "SAFe", "Health and Human Services", "Program data requirements", "Federal reporting", "State reporting", "HHS program needs", "State monitoring", "Federal monitoring", "Major Information Resources Project", "Responsible AI practices", "PowerPoint", "Visio" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 371.075, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9a2274d8ee00a0996abb", "title" : "Marketing Tracking Specialist", "company" : "UPROSPECT", "industry" : "Computer Software", "salary" : { "min" : 3.8E7, "max" : 5.8E7, "currency" : "COP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-level Marketing Tracking Specialist in Medellín, Colombia within the Technology industry, adjusted for company size and onsite work mode." }, "location" : "Medellín, Antioquia, CO", "locations" : [ "Medellín", "Antioquia", "CO" ], "timestamp" : "2026-06-15T07:45:37.202", "fingerprint" : "a329cbb2677810bfffc88268a3698610c26872bbc1ecdc3a8f117b883daed229", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UPROSPECT/744000131810739-marketing-tracking-specialist-hybrid-role-industry-leading-global-language-tech-company", "externalId" : "744000131810739", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Medellín", "state" : "Antioquia", "country" : "Colombia", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "6.2697324,-75.6025597" }, { "city" : "Cape Town", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "hybrid", "geo" : "-33.9288301,18.4172197" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Medellín, Antioquia, Colombia; Cape Town, South Africa; Pune, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Google Tag Manager, GA4, Google Ads, HTML, JavaScript", "professionalSkills" : [ "Tag implementation", "Tracking infrastructure", "Digital marketing analytics" ], "hardSkillsList" : [ "Attribution models", "UTM governance", "Event frameworks", "Enhanced conversions" ], "hardSkills" : [ { "name" : "Attribution models", "level" : "intermediate" }, { "name" : "UTM governance", "level" : "intermediate" }, { "name" : "Event frameworks", "level" : "intermediate" }, { "name" : "Enhanced conversions", "level" : "intermediate" } ], "majorSkills" : "Tracking, Measurement, Analytics", "majorSkillsList" : [ "Tracking", "Measurement", "Analytics" ], "coreResponsibilities" : "Own end-to-end tag implementation, Configure GA4 properties, Maintain GA4 events, Implement tracking using GTM, Implement hard-coded website tags, Troubleshoot tracking issues, Resolve tracking issues, Support integrations, Maintain UTM governance, Ensure attribution consistency, Support dashboard creation, Support reporting workflows, Ensure tracking frameworks comply", "teamCollaboration" : "Cross-functional stakeholders; Marketing teams; Development teams; CRM teams; SEO teams; Paid media teams; Analytics teams", "domainKnowledge" : "Data protection regulations; GDPR; ePrivacy", "domainList" : [ "data-protection-regulations", "gdpr", "eprivacy" ], "domainSpecificKnowledge" : [ "Data protection regulations", "GDPR", "ePrivacy" ], "toolProficiency" : [ "Google Tag Manager", "Salesforce", "Pardot", "HubSpot", "Tableau" ], "continuousLearning" : "Growth opportunities", "problemSolvingSkills" : "Analytical thinking; Problem-solving abilities", "qualificationsBasic" : "3-6+ years experience, C1 English level", "qualificationsPreferred" : "Experience with Adobe Analytics, Experience with Snowplow, Experience with Mixpanel", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "This is a HYBRID role available in Medellin,Colombia - Cape Town, South Africa or Pune, India. You must have a strong C1 English level. If this isn’t you, please DO NOT apply. This is an exciting opportunity at an industry leading US $1B+ Global Language Tech Company. Note that your final salary will be confirmed at the end of the hiring process, based on your professional background and skills/experience noted during the interviews. Our client is an industry leader and one of the world’s largest privately held language and business services companies. Their products and solutions have streamlined international operations with advanced automation, AI, and enterprise level integrations for translation & language services. They’ve helped more than 6000+ companies through professional services, technology platforms, and strategic support in more than 200+ languages. This an exciting opportunity to join an award winning industry leader that has won multiple awards for their fast growth most notably Inc. 5000 fastest growing companies. You'll not only become a part of their amazing growth story, but you'll also gain exposure to various industries such as tech, legal, life sciences, and AI. Company Culture Our client believes great products are built by empowered teams. Our culture values ownership, collaboration, transparency, and continuous improvement. You will work closely with cross-functional stakeholders and have a direct influence on architectural decisions and long-term platform strategy. Benefits * Home-office flexibility * Hybrid work model * PTOs * Weekends Off * Growth opportunities * Schedule flexibility We are looking for a Tracking Specialist SEO/SEM to own and optimize the company’s global tracking and measurement infrastructure across websites, campaigns, analytics platforms, and CRM systems. This is a highly technical role focused on ensuring accurate, privacy-compliant tracking across all digital touchpoints while strengthening attribution between marketing activity and CRM performance. You will work closely with marketing, development, CRM, SEO, paid media, and analytics teams worldwide to build scalable tracking frameworks and ensure data integrity across the organization. Responsibilities: * Own end-to-end tag implementation through Google Tag Manager (GTM). * Configure and maintain GA4 properties, events, conversions, and tracking frameworks. * Implement tracking using GTM and hard-coded website tags when required. * Troubleshoot and resolve tracking issues across websites and landing pages * Support integrations between analytics platforms and CRM systems such as Salesforce (Pardot) or HubSpot. * Maintain UTM governance and attribution consistency across campaigns. * Support dashboard creation and reporting workflows using tools such as Tableau. * Ensure tracking frameworks comply with GDPR, ePrivacy, and data protection regulations. * Partner closely with paid media, SEO, CRM, web development , and marketing operations teams. ## Qualifications * 3-6+ years of experience in tag implementation, tracking infrastructure, or digital marketing. analytics. * Advanced expertise in: Google Tag Manager (GTM), GA4, Google Ads conversion tracking, Enhanced conversions, Event frameworks, Attribution models, UTM governance. * Experience with: Adobe Analytics, Snowplow, Mixpanel. * Hands-on experience integrating CRM systems such as Salesforce (Pardot) or HubSpot with analytics platforms. * Ability to work with HTML and JavaScript for custom tagging solutions. * Experience troubleshooting complex tracking issues across multiple websites and systems. * Strong analytical thinking and problem-solving abilities. ## Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel.Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent", "summaryDescription" : "Marketing Tracking Specialist at UPROSPECT. Skills: Tracking, Measurement, Analytics. Own end-to-end tag implementation. Configure GA4 properties", "postedDate" : "2026-06-12T04:03:47.000", "createdAt" : "2026-06-13T22:16:44.440", "lastUpdated" : "2026-06-15T07:45:37.202", "ingestTimestamp" : "2026-06-13T22:16:44.440", "mongoId" : "6a2c9a2274d8ee00a0996abb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Attribution models", "UTM governance", "Event frameworks", "Enhanced conversions", "Tracking", "Measurement", "Analytics", "Tag implementation", "Tracking infrastructure", "Digital marketing analytics", "Data protection regulations", "GDPR", "ePrivacy", "Google Tag Manager", "Salesforce", "Pardot", "HubSpot", "Tableau" ], "skillCount" : 18, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 370.05365, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3061e7f292fd229cf9840c", "title" : "Program Supervisor", "company" : "Dungarvin", "industry" : "Individual And Family Services", "salary" : { "min" : 12.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cedar Park, TX, United States", "locations" : [ "Cedar Park", "TX", "United States" ], "timestamp" : "2026-06-16T09:29:52.908", "fingerprint" : "7f17a01530bb8294ed0f321c245c3bb3b92371d9e701690562778da5d12bd05f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Dungarvin/744000132265358-program-supervisor", "externalId" : "744000132265358", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cedar Park", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.5217116,-97.8278330" } ], "locationText" : "Cedar Park, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Supervise and coordinate daily operations, Ensure compliance with policies and procedures, Manage staff schedules and assignments, Provide direct support and assistance to individuals, Oversee program activities and services, Maintain accurate client records and documentation, Facilitate communication among team members, Respond to client needs and emergencies, Conduct training for new staff members, Monitor client progress and outcomes, Collaborate with external agencies and providers, Manage program budget and resources, Implement service plans, Ensure a safe and supportive environment, Participate in team meetings and case reviews, Advocate for client needs, Perform other duties as assigned", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Dungarvin , we are more than a provider of support services—we’re a mission-driven team rooted in respect, response and choice. Since 1976, we’ve been dedicated to meeting people where they are, working alongside them to provide person centered supports that allow people to live independently as possible. You’ll work directly with people in need of assistance, and/or living with intellectual or developmental disabilities, or other complex medical needs. With services nationwide, our team is united by a shared commitment to making a real difference – one person, one voice, one choice at a time! We encourage you to embrace this opportunity to impact someone’s life! Schedule: Full Time Schedules available Starting Pay: $12.00 an hour Perks/Benefits: * Medical, Vision and Dental Insurance for FT employees * Supplemental Insurance * Flex Spending and HSA Accounts for FT employees * Pet Insurance * Life Insurance * 401 K plan with 3% employer match at one year of services * Paid Time Off accrual - employees who work 40 hours in a 2-week period * PTO Donation * Growth and Development Opportunities * Employee Referral Program * Scheduled pay increases * Employee Assistance Program * Mileage reimbursement * T-Mobile, Verizon, Dell, and other National Brand Discounts * Tap Check - access to 50% of your pay before payday * Dedicated training department with paid training The Program Supervisor is responsible for coordination and management of the daily operations of the overall services in assigned programs. The two priority areas of responsibility include ensuring orientation and ongoing training of employees and ensuring all aspects of the program are developed, implemented, coordinated, and monitored to the highest degree possible. This entry-level supervisory role is ideal for candidates with at least two years of experience in the IDD field. The position centers on hands-on direct care while offering exposure to light supervisory duties as you grow in the role. Why This Role: * Personal fulfillment, a meaningful career, and the chance to make a difference. * Positively impact someone’s life. * Gain health care experience to further your career. * Reliable work schedule. * Varied day-to-day experiences; no two days are the same. What you get to do: * Provide daily supervision and oversight of all employees at assigned programs. * Monitor, coordinate, and ensure all services to the individual are delivered * Program supervisors are expected to ensure all direct service shifts in their program(s) are filled * Provide training for employees * Conduct monthly staff meetings * Provide hands-on assistance, encouragement, mentoring, and guidance. * Ensure the comfort, safety, and personal growth of the individuals we serve. * Assist with daily living tasks such as moving around, getting in and out of bed, dressing, bathing, toileting, personal hygiene and more. ## Qualifications What makes you a great fit: * Minimum 18 years of age. * High school diploma/GED equivalent required. * A two-year degree in related social services and/or two years of experience working in the field of developmental disabilities with supervisory experience preferred. * Person-centered, patient, and kind * Dependable, adaptable, flexible * Observant and detail oriented * Positive role-model for others and able to work on a team * Committed to creating a respectful and collaborative environment * Computer skills for documentation * Valid Drivers License (due to transporting persons served) * Some positions / locations may require own personal vehicle and auto-liability insurance based on the role * A successful background clearance is required as part of the onboarding/employment process * Good communication is key in this role. You’ll rely on your reading, writing, and communication skills to document care, follow support plans, and collaborate with both internal and external team members. ## Additional Information We believe in supporting not only those we serve but also each other, ensuring a collaborative and supportive work environment for all. Dungarvin is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, protected veteran status, disability, genetic information, national origin, age, gender identity, sexual orientation, or any legally protected status per federal and/or state law. 6/15 #DTXJ", "summaryDescription" : "Program Supervisor at Dungarvin. Supervise and coordinate daily operations. Ensure compliance with policies and procedures", "postedDate" : "2026-06-15T18:40:36.000", "createdAt" : "2026-06-16T00:04:45.728", "lastUpdated" : "2026-06-16T09:29:52.908", "ingestTimestamp" : "2026-06-16T00:04:45.728", "mongoId" : "6a3061e7f292fd229cf9840c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 24960, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 369.11273, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43874d8ee00a09b0c0d", "title" : "Fast Track to Leadership Trainee", "company" : "Picnic", "industry" : "Logistics", "salary" : { "min" : 45000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level E-commerce trainee in Germany, adjusted for company size and industry." }, "location" : "Germany ", "locations" : [ "Germany" ], "timestamp" : "2026-06-15T21:59:18.600", "fingerprint" : "3b5c4e891d55a70b82119dbd67867fb685b0281cac681095949d896ec967b152", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=7730885", "externalId" : "7730885", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Supply chain management", "Operations management", "Process optimization", "Data analysis" ], "hardSkillsList" : [ "Process simplification", "Bottleneck resolution", "Order process optimization", "Team leadership", "People development" ], "softSkillsList" : [ "Leadership", "Mentoring", "Motivation", "Team development" ], "hardSkills" : [ { "name" : "Process simplification", "level" : "intermediate" }, { "name" : "Bottleneck resolution", "level" : "intermediate" }, { "name" : "Order process optimization", "level" : "intermediate" }, { "name" : "Team leadership", "level" : "intermediate" }, { "name" : "People development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Motivation" }, { "name" : "Team development" } ], "majorSkills" : "Operations Management, Team Leadership, Process Improvement", "majorSkillsList" : [ "Operations Management", "Team Leadership", "Process Improvement" ], "coreResponsibilities" : "Onboard and learn fulfillment center, Lead a shift in fulfillment center, Plan shift operations, Coordinate shift operations, Lead shift team, Identify optimization potential, Implement improvement projects, Take responsibility for teams, Take responsibility for processes, Take responsibility for strategic projects, Contribute to international perspective, Work on cross-site initiatives, Support new fulfillment centers, Optimize ordering processes, Support automated fulfillment centers", "teamCollaboration" : "Cross-functional teams; International teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Supply chain; Fulfillment center operations; Logistics; Food waste reduction", "domainList" : [ "supply-chain", "fulfillment-center-operations", "logistics", "food-waste-reduction" ], "domainSpecificKnowledge" : [ "Supply chain", "Fulfillment center operations", "Logistics", "Food waste reduction" ], "continuousLearning" : "Mentoring; Training; Workshops; Bootcamps; Learning opportunities", "innovationCreativity" : "Test new ideas", "problemSolvingSkills" : "Problem identification; Root cause analysis; Analytical thinking", "specialRequirements" : "Shift work, Office and warehouse environment, Company car, Private car use", "outcomesObjectives" : "Increase productivity; Simplify processes; Solve bottlenecks; Develop people; Create clarity; Master challenging situations; Grow beyond oneself; Elevate supply chain", "qualificationsBasic" : "Master's degree in Logistics, Master's degree in Supply Chain Management, Master's degree in Industrial Engineering, Master's degree in comparable field, Practical experience in supply chain, Fluent German, Very good English skills", "qualificationsPreferred" : "Experience through internships, Experience through working student roles", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Kurz und knapp Du stehst kurz vor deinem Masterabschluss und willst als Graduate mehr als nur einen klassischen Berufseinstieg? Du suchst Verantwortung, Tempo und echte Wirkung in deinem Alltag? Als Fast Track to Leadership Trainee im Bereich Supply Chain und Operations startest du bei Picnic durch: In nur zwei Jahren entwickelst du dich vom Graduate in die Führungsposition als Operations Manager und übernimmst die Verantwortung für Teams, Prozesse und strategische Projekte entlang unserer Supply Chain im Fulfillment. Hands-on, datengetrieben und mit echtem Impact. Das erwartet dich Jahr 1: Operative Grundlagen & Leadership als Operations Supervisor Onboarding & Einstieg: Du startest mit einem strukturierten Onboarding, baust dir ein starkes Netzwerk auf und lernst unser Fulfillment Center (FC) von Grund auf kennen. Schichtleitung im FC: An ca. 3-4 Tagen pro Woche übernimmst du als Operations Supervisor die Verantwortung einer Schicht. Du planst, koordinierst und führst dein Team - und erlebst vom ersten Tag an, wie operative Entscheidungen direkten Einfluss auf unsere Teams und Performance haben. Führung & Coaching: Durch Mentoring, Trainings zu Leadership, Feedback und Motivation lernst du, wie du Menschen entwickelst, Klarheit schaffst und herausfordernde Situationen meisterst. Eigene Projekte mit Impact: Du identifizierst Optimierungspotenziale im operativen Alltag und setzt an deinen 1-2 Projekttagen eigenständig Verbesserungsprojekte um, die Produktivität steigern, Prozesse vereinfachen und Engpässe nachhaltig lösen. Jahr 2: Führung mit Wirkung über Standorte hinweg als Operations Manager (Inter)nationale Perspektive: Ergreife die Chance und bring dein Wissen an anderen Picnic Standorten - national oder international - oder lerne eine andere Abteilung entlang unserer Supply Chain kennen. Du übernimmst Verantwortung in einem neuen Umfeld mit neuen Teams und wächst über dich hinaus. Fokus auf Projekte: Neben deinen ca. 1-2 Schichttagen pro Woche arbeitest du an ca. 3-4 Tagen an standortübergreifenden Initiativen, z. B. bei der Optimierung unserer Bestellprozesse oder bei der Unterstützung neuer (automatisierter) FCs. Mit deinem operativen Know-How und deinem analytischen Blick hebst du unsere Supply Chain auf das nächste Level. Dein nächster Schritt: Nach dem Fast Track stehen dir viele Türen offen: als erfahrener Operations Manager oder in weiteren Positionen innerhalb von Picnic. Das bringst du mit Ein (bald) abgeschlossenes Masterstudium in Logistik, Supply Chain Management, Wirtschaftsingenieurwesen oder einem vergleichbaren Masterstudiengang Erste praktische Erfahrungen im Supply-Chain-Umfeld (z. B. durch Praktika oder Werkstudententätigkeiten) Fließende Deutsch- und sehr gute Englischkenntnisse Freude daran, als Trainee direkt Verantwortung für ein Team zu übernehmen und Menschen zu motivieren und entwickeln Du setzt Ideen mit deiner Hands-on-Mentalität in erfolgreiche Projekte um und gehst als Vorbild voran Ein starkes Zahlenverständnis und die Fähigkeit, Probleme frühzeitig zu erkennen Flexibilität und Begeisterung für eine Rolle, die sowohl im Büro als auch im operativen Lagerumfeld stattfindet, inklusive Schichtarbeit Darauf kannst du dich freuen Starte durch - mit uns: Werde Teil unseres internationalen Teams in einem Umfeld, das echtes Wachstum und eine „Act like an Owner“-Mentalität fördert. Bei uns hast du die Chance, Projekte eigenverantwortlich voranzutreiben, neue Ideen zu testen und direkt miterleben zu können, wie deine Arbeit in unserem schnell wachsenden Unternehmen Wirkung zeigt. Nachhaltigkeit als Kern: Werde Teil der Revolution. Du trägst zu einer grüneren Zukunft bei – durch unsere 100 % elektrische Flotte und eine Lieferkette, die Lebensmittelverschwendung reduziert. Die Basics: Wir stellen dir alles für deinen Erfolg bereit – inklusive Laptop und Handy sowie Zugang zu exklusiven Mitarbeiter-Rabatten (Corporate Benefits) für Reisen, Technik und vieles mehr. Zeit zum Auftanken: Mit 30 Urlaubstagen pro Jahr (bei einer 40-Stunden-Woche) sorgst du für den perfekten Ausgleich zwischen Arbeit und Erholung. Verpflegung für Gewinner: Wir kümmern uns um dich. Genieße jeden Tag ein frisches, kostenloses Frühstück und Mittag- oder Abendessen in unserem Fulfilment Center, dazu gibt es reichlich Snacks, Getränke und Obst für den Energiekick zwischendurch. Unvergessliche Momente: Wir sind mehr als nur ein Team. Von unserem legendären jährlichen Ski-Trip über Weihnachtsfeiern bis hin zu Auftritten unserer eigenen Picnic-Band: Wir feiern unsere Erfolge gemeinsam. Wohlbefinden & Gleichgewicht: Wir bieten dir professionelle Unterstützung für deine mentale Gesundheit mit OpenUp. Individuelle Mobilität:Du erhältst einen Firmenwagen (auch zur privaten Nutzung) und kannst zusätzlich unser „Lease-a-Bike“-Programm nutzen. Lebensmittelretter: Hol dir unsere exklusiven \"Too-Good-To-Go\"-Tüten und rette leckere Lebensmittel – nur für unsere Mitarbeitenden! Lerne & wachse: Profitiere von internen Lern- & Entwicklungsmöglichkeiten durch spannende Workshops und intensive Bootcamps, um deine Skills ständig zu erweitern Bist du neugierig?", "summaryDescription" : "Fast Track to Leadership Trainee at Picnic. Skills: Operations Management, Team Leadership, Process Improvement. Onboard and learn fulfillment center. Lead a shift in fulfillment center", "postedDate" : "2026-06-14T19:24:26.439", "createdAt" : "2026-06-14T19:24:26.439", "lastUpdated" : "2026-06-15T21:59:18.600", "ingestTimestamp" : "2026-06-14T19:24:26.439", "mongoId" : "6a2ca43874d8ee00a09b0c0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Process simplification", "Bottleneck resolution", "Order process optimization", "Team leadership", "People development", "Leadership", "Mentoring", "Motivation", "Team development", "Operations Management", "Team Leadership", "Process Improvement", "Supply chain management", "Operations management", "Process optimization", "Data analysis", "Project management", "Supply chain", "Fulfillment center operations", "Logistics", "Food waste reduction" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 369.1016, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051aaf292fd229cf04191", "title" : "Program Coordinator", "company" : "Aviation Institute of Maintenance", "salary" : { "min" : 48500.0, "max" : 68000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Program Coordinator in Kansas City, adjusted for mid-seniority and the education industry." }, "location" : "Kansas City, MO", "locations" : [ "Kansas City", "MO" ], "timestamp" : "2026-06-16T09:32:49.510", "fingerprint" : "aa0e1e02658be7e6475a5b9dd8661c54e68be69f7a4efe8cfcb652d2fb78fbf9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/aviationinstituteofmaintenance/jobs/4780787008", "externalId" : "4780787008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kansas City", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1001050,-94.5781416" } ], "locationText" : "Kansas City, Missouri, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "Training Tomorrow's Technicians to Become Skilled, Employable and Essential.  About Us  - Big Changes, Better Benefits - Join us today! The Aviation Institute of Maintenance (AIM), established in 1969, is a premier institution dedicated to advancing the field of aviation maintenance through exceptional education and training. With 15 campuses nationwide, AIM is a cornerstone in the aviation industry, accounting for 20% of all students attending FAA-certified Airframe CampusNexus experience a plus Willingness to work flexible hours and travel occasionally Preferred Certifications NCATT AET Certification FCC General Radiotelephone Operator License Why Join Us? Lead a nationally recognized training program with industry relevance Work in a collaborative, mission-driven environment focused on student success Competitive compensation and comprehensive benefits Continuous professional development opportunities Make a lasting impact on the future of aviation maintenance Work Schedule: This position is predominantly a daytime schedule but requires a flexibility to be available to our evening students, and community events. What We Offer We are proud to offer a competitive compensation package that supports your personal and professional well-being. Full-time employees are eligible for: 401(k) with company match Comprehensive health, dental, and vision insurance available first day of employment Life insurance options Paid parental leave Paid time off (PTO) to promote work-life balance Tuition reimbursement for continued education Employee Assistance Program (EAP) for personal and professional support We are committed to fostering a workplace that values integrity, growth, and student success. Apply today to join the team at Aviation Institute of Maintenance and help train the next generation of A&P mechanics. AIM is a proud equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law. We believe that a diverse workforce contributes to the success of our company and are dedicated to fostering a culture of respect, equity, and inclusion.", "summaryDescription" : "Program Coordinator at Aviation Institute of Maintenance", "postedDate" : "2026-06-15T23:19:34.847", "createdAt" : "2026-06-15T23:19:34.847", "lastUpdated" : "2026-06-16T09:32:49.510", "ingestTimestamp" : "2026-06-15T23:19:34.847", "mongoId" : "6a3051aaf292fd229cf04191", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48500, "salaryAnnualMax" : 68000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 367.10672, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.9 }, { "id" : "6a3061e7f292fd229cf98413", "title" : "Program Supervisor", "company" : "Dungarvin", "industry" : "Individual And Family Services", "salary" : { "min" : 1400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Houston, TX, United States", "locations" : [ "Houston", "TX", "United States" ], "timestamp" : "2026-06-16T09:40:19.496", "fingerprint" : "49fe5f5efeb47157512ef50c07bb7f86954b358c9a57a0ecf52344f0ed9cfd9d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Dungarvin/744000132259523-program-supervisor", "externalId" : "744000132259523", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Supervisory skills", "Case management", "Crisis intervention", "Behavioral support", "Medication administration" ], "hardSkillsList" : [ "Behavioral health", "Mental health", "Developmental disabilities" ], "hardSkills" : [ { "name" : "Behavioral health", "level" : "intermediate" }, { "name" : "Mental health", "level" : "intermediate" }, { "name" : "Developmental disabilities", "level" : "intermediate" } ], "majorSkills" : "Supervisory experience, Case management, Behavioral support", "majorSkillsList" : [ "Supervisory experience", "Case management", "Behavioral support" ], "coreResponsibilities" : "Supervise direct care staff, Provide direct care services, Develop and implement treatment plans, Conduct assessments, Administer medications, Coordinate client services, Ensure compliance with regulations, Maintain client records, Provide crisis intervention, Offer behavioral support, Participate in on-call rotation", "teamCollaboration" : "Supervise direct care staff; Coordinate client services; Collaborate with families", "domainKnowledge" : "Mental health; Developmental disabilities; Behavioral health; Medication administration", "domainList" : [ "mental-health", "developmental-disabilities", "behavioral-health", "medication-administration" ], "domainSpecificKnowledge" : [ "Mental health", "Developmental disabilities", "Behavioral health", "Medication administration" ], "toolProficiency" : [ "Electronic health records" ], "communicationSkills" : "Client communication; Family communication; Staff supervision", "documentationSkills" : "Client records; Treatment plans", "problemSolvingSkills" : "Crisis intervention; Behavioral support", "specialRequirements" : "Valid driver's license, On-call rotation", "outcomesObjectives" : "Ensure client safety; Promote client independence; Achieve treatment plan goals; Maintain regulatory compliance", "qualificationsBasic" : "2 years of experience in a supervisory role, Valid driver's license, High school diploma or GED", "qualificationsPreferred" : "Bachelor's degree in a related field, Experience with electronic health records (EHR)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Dungarvin , we are more than a provider of support services—we’re a mission-driven team rooted in respect, response and choice. Since 1976, we’ve been dedicated to meeting people where they are, working alongside them to provide person centered supports that allow people to live independently as possible. You’ll work directly with people in need of assistance, and/or living with intellectual or developmental disabilities, or other complex medical needs. With services nationwide, our team is united by a shared commitment to making a real difference – one person, one voice, one choice at a time! We encourage you to embrace this opportunity to impact someone’s life! Schedule: Full Time Schedules available Starting Pay: $14.00 an hour Perks/Benefits: * Medical, Vision and Dental Insurance for FT employees * Supplemental Insurance * Flex Spending and HSA Accounts for FT employees * Pet Insurance * Life Insurance * 401 K plan with 3% employer match at one year of services * Paid Time Off accrual - employees who work 40 hours in a 2-week period * PTO Donation * Growth and Development Opportunities * Employee Referral Program * Scheduled pay increases * Employee Assistance Program * Mileage reimbursement * T-Mobile, Verizon, Dell, and other National Brand Discounts * Tap Check - access to 50% of your pay before payday * Dedicated training department with paid training The Program Supervisor is responsible for coordination and management of the daily operations of the overall services in assigned programs. The two priority areas of responsibility include ensuring orientation and ongoing training of employees and ensuring all aspects of the program are developed, implemented, coordinated, and monitored to the highest degree possible. This entry-level supervisory role is ideal for candidates with at least two years of experience in the IDD field. The position centers on hands-on direct care while offering exposure to light supervisory duties as you grow in the role. Why This Role: * Personal fulfillment, a meaningful career, and the chance to make a difference. * Positively impact someone’s life. * Gain health care experience to further your career. * Reliable work schedule. * Varied day-to-day experiences; no two days are the same. What you get to do: * Provide daily supervision and oversight of all employees at assigned programs. * Monitor, coordinate, and ensure all services to the individual are delivered * Program supervisors are expected to ensure all direct service shifts in their program(s) are filled * Provide training for employees * Conduct monthly staff meetings * Provide hands-on assistance, encouragement, mentoring, and guidance. * Ensure the comfort, safety, and personal growth of the individuals we serve. * Assist with daily living tasks such as moving around, getting in and out of bed, dressing, bathing, toileting, personal hygiene and more. ## Qualifications What makes you a great fit: * Minimum 18 years of age. * High school diploma/GED equivalent required. * A two-year degree in related social services and/or two years of experience working in the field of developmental disabilities with supervisory experience preferred. * Person-centered, patient, and kind * Dependable, adaptable, flexible * Observant and detail oriented * Positive role-model for others and able to work on a team * Committed to creating a respectful and collaborative environment * Computer skills for documentation * Valid Drivers License (due to transporting persons served) * Some positions / locations may require own personal vehicle and auto-liability insurance based on the role * A successful background clearance is required as part of the onboarding/employment process * Good communication is key in this role. You’ll rely on your reading, writing, and communication skills to document care, follow support plans, and collaborate with both internal and external team members. ## Additional Information We believe in supporting not only those we serve but also each other, ensuring a collaborative and supportive work environment for all. Dungarvin is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, protected veteran status, disability, genetic information, national origin, age, gender identity, sexual orientation, or any legally protected status per federal and/or state law. 6/15", "summaryDescription" : "Program Supervisor at Dungarvin. Skills: Supervisory experience, Case management, Behavioral support. Supervise direct care staff. Provide direct care services", "postedDate" : "2026-06-15T18:32:27.000", "createdAt" : "2026-06-15T23:55:12.230", "lastUpdated" : "2026-06-16T09:40:19.496", "ingestTimestamp" : "2026-06-15T23:55:12.230", "mongoId" : "6a3061e7f292fd229cf98413", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 2912000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Behavioral health", "Mental health", "Developmental disabilities", "Supervisory experience", "Case management", "Behavioral support", "Supervisory skills", "Crisis intervention", "Medication administration", "Electronic health records" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 366.12802, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "id" : "6a30564bf292fd229cf26f8a", "title" : "Applied Scientist II", "company" : "ADCI", "industry" : "Applied Science, amazon business", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Applied Scientist II in Bengaluru, India, adjusted for mid-level experience and the technology industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-16T08:27:47.877", "fingerprint" : "53ad223b57557fe1e25e12432440b495bf46320b42deb8b148ee1ffd9d7a1adb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448617/apply", "externalId" : "970157c5-7b44-4d68-8733-8e1b6aa2f39c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, C/C++, Java, Machine Learning, Deep Learning, PyTorch, TensorFlow", "professionalSkills" : [ "Statistical modeling", "Software development", "Scientific thinking" ], "hardSkillsList" : [ "Speech recognition", "Natural language processing", "Machine translation", "Time series analysis", "Signal processing" ], "hardSkills" : [ { "name" : "Speech recognition", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Machine translation", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Speech technology, Natural Language Understanding", "majorSkillsList" : [ "Machine Learning", "Speech technology", "Natural Language Understanding" ], "coreResponsibilities" : "Build industry-leading Speech and Language technology, Advance Automatic Speech Recognition (ASR), Advance Natural Language Understanding (NLU), Advance Machine Learning (ML), Advance Computer Vision (CV), Develop novel algorithms, Develop modeling techniques, Advance human language technology, Leverage large-scale computing resources, Accelerate advances in spoken language understanding, Build large-scale, high-performing systems", "domainKnowledge" : "Human language technology; Spoken language understanding; Speech recognition; Natural language processing; Machine translation; Text-to-Speech; Dialog Management; Computer Vision", "domainList" : [ "human-language-technology", "spoken-language-understanding", "speech-recognition", "natural-language-processing", "machine-translation", "text-to-speech", "dialog-management", "computer-vision" ], "domainSpecificKnowledge" : [ "Human language technology", "Spoken language understanding", "Speech recognition", "Natural language processing", "Machine translation", "Text-to-Speech", "Dialog Management", "Computer Vision" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Inventive; Innovate", "qualificationsBasic" : "PhD or M. Tech in Computer Science, Electrical Engineering, Mathematics, or Physics, Specialization in speech recognition, natural language processing, machine translation, time series analysis, signal processing, or machine learning, 1-2 years of industry or research experience in applied ML or related areas, Proficiency in programming languages such as Python, C/C++, or Java, Foundation in machine learning fundamentals and statistical modeling", "qualificationsPreferred" : "Experience building speech recognition, machine translation, or natural language processing systems, Hands-on experience with deep learning frameworks, Track record of publications in top-tier conferences, Scientific thinking with demonstrated ability to innovate, Solid software development practices, Experience shipping production-quality code, PhD, or Master's degree and experience in patents or publications at top-tier peer-reviewed conferences or journals, Experience building complex highly-scalable systems that involve predictive models or applications of machine learning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is seeking a passionate and inventive Applied Scientist II with a strong machine learning background to build industry-leading Speech and Language technology. Our mission is to deliver delightful customer experiences by advancing Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML), and Computer Vision (CV). You will work alongside internationally recognized experts to develop novel algorithms and modeling techniques that advance the state-of-the-art in human language technology. Your work will directly impact millions of customers through products and services powered by speech and language technology. You will gain hands-on experience with Amazon's heterogeneous speech, text, and structured data sources, and leverage large-scale computing resources to accelerate advances in spoken language understanding. We are hiring across all areas of human language technology: ASR, Machine Translation (MT), NLU, Text-to-Speech (TTS), Dialog Management, and Computer Vision. We also seek talent experienced in building large-scale, high-performing systems. Key job responsibilities Basic Qualifications PhD or M.Tech in Computer Science, Electrical Engineering, Mathematics, or Physics with specialization in one or more of: speech recognition, natural language processing, machine translation, time series analysis, signal processing, or machine learning 1-2 years of industry or research experience (including internships, co-ops, or post-doctoral work) in applied ML or related areas Proficiency in programming languages such as Python, C/C++, or Java Strong foundation in machine learning fundamentals and statistical modeling Preferred Qualifications Experience building speech recognition, machine translation, or natural language processing systems (e.g., commercial products, government projects, or published research with working prototypes) Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) Track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ACL, Interspeech, CVPR) Scientific thinking with demonstrated ability to innovate and contribute to advancing the field Solid software development practices and experience shipping production-quality code Strong written and verbal communication skills A day in the life 0 Basic Qualifications: - PhD or M.Tech in Computer Science, Electrical Engineering, Mathematics, Physics, or a closely related field Preferred Qualifications: - PhD or equivalent research experience, or a Master's degree and experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience building complex highly-scalable systems that involve predictive models or applications of machine learning - PhD, or a Master's degree and experience in patents or publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Applied Scientist II at ADCI. Skills: Machine Learning, Speech technology, Natural Language Understanding. Build industry-leading Speech and Language technology. Advance Automatic Speech Recognition (ASR)", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:09.634", "lastUpdated" : "2026-06-16T08:27:47.877", "ingestTimestamp" : "2026-06-15T22:01:09.634", "mongoId" : "6a30564bf292fd229cf26f8a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448617/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Speech recognition", "Natural language processing", "Machine translation", "Time series analysis", "Signal processing", "Machine Learning", "Speech technology", "Natural Language Understanding", "Statistical modeling", "Software development", "Scientific thinking", "Human language technology", "Spoken language understanding", "Text-to-Speech", "Dialog Management", "Computer Vision" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 366.04926, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059d3f292fd229cf4b2e9", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T08:36:35.216", "fingerprint" : "b5c332c6dff17e08ec57719085edffc2e13874ec8bad2f42503c2cc63f81fd86", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:28:18.616", "lastUpdated" : "2026-06-16T08:36:35.216", "ingestTimestamp" : "2026-06-16T00:28:18.616", "mongoId" : "6a3059d3f292fd229cf4b2e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 365.21103, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f0bf292fd229cf77aa8", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T10:03:10.589", "fingerprint" : "e8731ede0ca67f1d57b4836bee5734cd93890c04bfedb9ec44ddeed31dfc3765", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:27:48.493", "lastUpdated" : "2026-06-16T10:03:10.589", "ingestTimestamp" : "2026-06-16T00:27:48.493", "mongoId" : "6a305f0bf292fd229cf77aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 365.1981, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cd6db74d8ee00a0a3f7e4", "title" : "Lead Applied Scientist", "company" : "Tekion", "industry" : "Engineering", "salary" : { "min" : 3500000.0, "max" : 6000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Lead Applied Scientist in Bangalore, India, within the technology industry, adjusted for seniority and company size." }, "location" : "Bangalore HQ", "locations" : [ "Bangalore HQ" ], "timestamp" : "2026-06-16T01:58:06.870", "fingerprint" : "ad399d6d0a14ed8dd5a25bbfbc7b8dd70521ce47fec5ea2a1b1973a573c57c08", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tekion/4e7caf1c-2a10-4d0c-8541-f1e03b810bf0/application", "externalId" : "4e7caf1c-2a10-4d0c-8541-f1e03b810bf0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Machine Learning, Deep Learning, Causal Inference, Explainable AI, TensorFlow, Keras, PyTorch, Computer Vision, OpenCV, Natural Language Processing, SpaCy, Large Language Models, Python, SQL, Spark, GCP, Azure, AWS, Git", "professionalSkills" : [ "Applied probability", "Statistics", "Experimental design", "Prompt engineering", "Model evaluation", "Performance measurement" ], "hardSkillsList" : [ "Theoretical expertise", "Practical expertise", "Model development", "Model validation", "Model deployment", "Model monitoring", "Ethical AI", "Responsible AI", "First-principles thinking" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Theoretical expertise", "level" : "intermediate" }, { "name" : "Practical expertise", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Ethical AI", "level" : "intermediate" }, { "name" : "Responsible AI", "level" : "intermediate" }, { "name" : "First-principles thinking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied AI, Machine Learning, Deep Learning, Causal Inference", "majorSkillsList" : [ "Applied AI", "Machine Learning", "Deep Learning", "Causal Inference" ], "coreResponsibilities" : "Architect strategic vision for applied AI, Execute strategic vision for applied AI, Steer R&D roadmap, Identify emergent technological opportunities, Capitalize on emergent technological opportunities, Drive innovation, Ideate novel solutions, Implement novel solutions, Serve as principal technical liaison, Ensure technical strategies align with business imperatives, Lead collaborations with product, Lead collaborations with engineering, Lead collaborations with business units, Define machine learning systems, Develop machine learning systems, Integrate machine learning systems, Contribute to scientific community, Enhance Tekion's position as innovation center, Mentor applied scientists, Cultivate scientific rigor, Cultivate innovation, Guide project execution, Foster professional growth, Establish frameworks for model evaluation, Establish frameworks for performance measurement, Quantify business impact of ML initiatives, Articulate business impact of ML initiatives, Institute best practices for ML lifecycle, Govern best practices for ML lifecycle, Champion ethical AI, Champion responsible AI", "teamCollaboration" : "Cross-functional execution; Multi-disciplinary teams", "domainKnowledge" : "Automotive industry; Enterprise SaaS", "domainList" : [ "automotive-industry", "enterprise-saas" ], "domainSpecificKnowledge" : [ "Automotive industry", "Enterprise SaaS" ], "toolProficiency" : [ "TensorFlow", "Keras", "PyTorch", "OpenCV", "SpaCy", "Spark", "GCP", "Azure", "AWS", "Git" ], "communicationSkills" : "Technical liaison; Executive presentations", "innovationCreativity" : "Innovation; Novel solutions; R&D roadmap", "problemSolvingSkills" : "First-principles thinking; Complex problems; Unstructured problems; Data-driven approach", "outcomesObjectives" : "Translate research into business value; Deliver transformative solutions", "qualificationsBasic" : "7 - 9 years of post-academic experience, Advanced degree (Ph.D. or M.S.) in quantitative discipline, Programming, data manipulation, and model building experience, Sophisticated data visualization and presentation skills", "qualificationsPreferred" : "Domain expertise in automotive industry, Experience in Recommendation Engines, Experience in advanced NLP", "rawDescription" : "Tekion seeks an exceptionally talented and seasoned Staff / Lead Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale. Key Responsibilities - Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges. - Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions. - Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives. - Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services. - Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation. - Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth. - Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership. - Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI CORE COMPETENCIES & TECHNICAL EXPERTISE The successful candidate will demonstrate mastery in the following areas: - Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI. - Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data. DEEP LEARNING: - Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch. - Extensive experience implementing advanced neural network architectures. - Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g.,spaCy) methodologies. - Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications. TECHNICAL PROFICIENCIES: - Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous. - Proficiency with cloud computing platforms (GCP, Azure, AWS). - Expertise in experimental design (A/B testing, causal inference). - Proficient in version control systems (Git). REQUIRED QUALIFICATIONS - An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field. - A minimum of 7 - 9 years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value. - A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach. - Proven experience in programming, data manipulation, and building models in a business context. - Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences. IDEAL CANDIDATE PROFILE - A profound intellectual curiosity and a systematic, first-principles approach to problem-solving. - Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable. - Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred. - Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences. - A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams. - A commitment to continuous personal and team development within a collaborative, high-performance culture. PERKS AND BENEFITS - Competitive compensation - Generous stock options - Medical Insurance coverage - Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies ", "summaryDescription" : "Lead Applied Scientist at Tekion. Skills: Applied AI, Machine Learning, Deep Learning, Causal Inference. Architect strategic vision for applied AI. Execute strategic vision for applied AI", "createdAt" : "2026-06-14T19:21:48.040", "lastUpdated" : "2026-06-16T01:58:06.870", "ingestTimestamp" : "2026-06-14T19:21:48.040", "mongoId" : "6a2cd6db74d8ee00a0a3f7e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Theoretical expertise", "Practical expertise", "Model development", "Model validation", "Model deployment", "Model monitoring", "Ethical AI", "Responsible AI", "First-principles thinking", "Leadership", "Mentoring", "Applied AI", "Machine Learning", "Deep Learning", "Causal Inference", "Applied probability", "Statistics", "Experimental design", "Prompt engineering", "Model evaluation", "Performance measurement", "Automotive industry", "Enterprise SaaS", "TensorFlow", "Keras", "PyTorch", "OpenCV", "SpaCy", "Spark", "GCP", "Azure", "AWS", "Git" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 363.0729, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306724f292fd229cfb9aca", "title" : "Program Manager(Kenya)", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3300000.0, "max" : 5500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Program Manager in Kenya, adjusted for manager seniority and non-profit industry." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T07:31:58.408", "fingerprint" : "95df52895241b1bd5cc2a943d22afa880af33ce50c39922be6bc61d9119e5945", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591794002", "externalId" : "8591794002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceLevel" : "Manager", "professionalSkills" : [ "Program management", "Budget management", "Financial acumen", "Analytical skills", "Problem solving skills", "Staff management" ], "softSkillsList" : [ "Strategic thinker", "Partnership builder", "Effective communicator", "Mission-driven leader" ], "softSkills" : [ { "name" : "Strategic thinker" }, { "name" : "Partnership builder" }, { "name" : "Effective communicator" }, { "name" : "Mission-driven leader" } ], "majorSkills" : "Program Planning, Program Design, Program Implementation, Monitoring, Donor Compliance, Financial Processes, Operational Requirements", "majorSkillsList" : [ "Program Planning", "Program Design", "Program Implementation", "Monitoring", "Donor Compliance", "Financial Processes", "Operational Requirements" ], "coreResponsibilities" : "Oversee Kenya country office activities, Monitor Kenya country office activities, Ensure compliance with donor reporting requirements, Ensure compliance with metric submissions, Ensure compliance with financial processes, Ensure compliance with other operational requirements, Ensure compliance with donor requirements, Ensure compliance with government regulations, Ensure compliance with Girl Effect’s internal policies, Develop annual work plans, Develop quarterly work plans, Develop monthly work plans, Track delivery against set targets", "teamCollaboration" : "Cross-cultural communications; Diverse teams; Digital platforms; Country project teams; Headquarters technical departments; Service departments", "projectManagementSkills" : [ "Project management", "Program management" ], "domainKnowledge" : "Digital health projects; Digital portfolio; International development; International donor priorities; Health areas", "domainList" : [ "digital-health-projects", "digital-portfolio", "international-development", "international-donor-priorities", "health-areas" ], "domainSpecificKnowledge" : [ "Digital health projects", "Digital portfolio", "International development", "International donor priorities", "Health areas" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Written communication; Spoken communication; Presentation skills; Cross-cultural communications", "documentationSkills" : "Donor reporting", "problemSolvingSkills" : "Analytical skills; Problem solving skills", "specialRequirements" : "Standard background disclosure", "outcomesObjectives" : "Ensure program/project objectives are met; Meet high standards of quality; Meet high standards of timeliness; Ensure compliance with donor requirements; Ensure programmatic health; Ensure financial health; Ensure technical quality of a portfolio", "qualificationsBasic" : "Bachelor's Degree in a related field, At least 5 years of relevant experience in the design, delivery and implementation of health programs both public and private sector, Excellent written, verbal, and cross-cultural communications skills, Strong, proven skills in Excel, budget management and monitoring, and financial acumen, Excellent analytical/problem solving skills, Project and staff management skills, Demonstrated ability to work in a multi-cultural environment, Ability to multi-task and work effectively in a fast-paced team environment, Ability to work effectively independently and within diverse teams and contexts, Highly organized, diligent, reliable, and a self-starter, Ability to revise and improve processes to improve efficiency", "qualificationsPreferred" : "Master's degree in a related field, SRH programming experience a plus, Knowledge of international development, international donor priorities and/or health areas required (Gates, CIFF, corporate and foundation donors)", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Program Manager will oversee, operational, technical, and programmatic excellence goals and execution of quality standards by providing wide-ranging operational, technical, and/or or project management support to a global digital health projects or digital portfolio of network members/country projects. Will supervise consultants who serve as a global, network member/county focal point. Work with network members/country project teams, headquarters technical and service departments, and subcontractors to ensure program/project objectives are met to high standards of quality and timeliness and are in compliance with donor requirements. Ensure the programmatic and financial health and technical quality of a portfolio of network members and country or global project(s) of high complexity. Demonstrate advanced knowledge or provides specialized subject matter support in digital health or technology project management. Supports country, project, or departmental leadership with donor relations. May also contribute to wider departmental and/or organizational initiatives and working groups. Within a global project or technical team also contribute to the development of technical documents and presentations for internal and external audiences. What you will do Programme Planning, Design, Implementation, and Monitoring Provide oversight and monitoring of Kenya country office activities to ensure compliance with donor reporting requirements, metric submissions, financial processes, and other operational requirements. Ensure compliance with donor requirements, government regulations, and Girl Effect’s internal policies. Develop annual, quarterly, and monthly work plans and track delivery against set targets. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are Strategic thinker with the ability to translate program vision into impactful delivery while spotting long-term opportunities. Partnership builder, with proven success in forging relationships across donors, governments, the private sector, and civil society. Effective communicator with excellent written, spoken, and presentation skills for donor reports, proposals, and public representation. Mission-driven leader, committed to youth empowerment, gender equality, and inclusion, especially for adolescent girls and young women. Team player, able to collaborate across diverse teams and digital platforms to ensure youth-centered and inclusive programming. Work Experience and Education Required Bachelor’s Degree in a related field Master’s degree in a related field(added advantage) At least 5 years of relevant experience in the design, delivery and implementation of health programs both public and private sector SRH programming experience a plus Knowledge of international development, international donor priorities and/or health areas required (Gates,CIFF, corporate and foundation donors). Excellent written, verbal, and cross-cultural communications skills. Strong, proven skills in Excel, budget management and monitoring, and strong financial acumen. Excellent analytical/problem solving skills. Project and staff management skills. Demonstrated ability to work in a multi-cultural environment. Ability to multi-task and work effectively in a fast-paced team environment. Ability to work effectively independently and within diverse teams and contexts. Highly organized, diligent, reliable, and a self-starter. Ability to revise and improve processes to improve efficiency What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Program Manager(Kenya) at Girl Effect. Skills: Program Planning, Program Design, Program Implementation, Monitoring, Donor Compliance, Financial Processes, Operational Requirements. Oversee Kenya country office activities. Monitor Kenya country office activities", "postedDate" : "2026-06-15T23:24:00.908", "createdAt" : "2026-06-15T23:24:00.908", "lastUpdated" : "2026-06-16T07:31:58.408", "ingestTimestamp" : "2026-06-15T23:24:00.908", "mongoId" : "6a306724f292fd229cfb9aca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Strategic thinker", "Partnership builder", "Effective communicator", "Mission-driven leader", "Program Planning", "Program Design", "Program Implementation", "Monitoring", "Donor Compliance", "Financial Processes", "Operational Requirements", "Program management", "Budget management", "Financial acumen", "Analytical skills", "Problem solving skills", "Staff management", "Project management", "Digital health projects", "Digital portfolio", "International development", "International donor priorities", "Health areas", "Excel" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 361.23697, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca41374d8ee00a09afdd1", "title" : "Applied Scientist III", "company" : "Uber Freight", "industry" : "Logistics", "salary" : { "min" : 150000.0, "max" : 182000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:25:17.071", "fingerprint" : "b650d3819bc3e4bcf7f90e122a23adbd5cbe528a40085fef4f0ce6352314a15f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/uberfreight/jobs/5174716008", "externalId" : "5174716008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "hybrid" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning modeling", "Data pipeline development", "ETL processes", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement BI solutions, Perform quantitative analysis, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "domainKnowledge" : "Cloud data stacks; Regression; Classification; Clustering; Time-series analysis", "domainList" : [ "cloud-data-stacks", "regression", "classification", "clustering", "time-series-analysis" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "Regression", "Classification", "Clustering", "Time-series analysis" ], "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, 3+ years of experience in data science or related field, Proficiency in SQL", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Schedule: Full Time Employment Job Type: Hybrid Salary Type: Salary Req #: 2520 About the Role As an Applied Scientist III at Uber Freight, you will develop and implement advanced statistical, economic, machine learning, and optimization approaches to solve complex business problems and improve performance. You will apply modeling skills and data-driven methods to enhance our core product experience and top line business metrics. You’ll collaborate closely with Product, Operations, and Engineering teams to turn insights into impact. What the Candidate Will Do Develop creative solutions and build prototypes to business problems using algorithms based on causal inference, statistics, machine learning, and optimization. Collaborate with engineering and product teams to productionize these solutions and create a lasting impact. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches, with an emphasis on understanding causal relationships when applicable. Propose and guide robust frameworks of data analysis to drive business insights and inform decision-making. Contribute to establishing standard methodologies for data science, including modeling, coding, analytics, and experimentation. Leverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factors. Design product experiments and interpret results to draw detailed and impactful conclusions. Communicate findings and insights to senior management and cross-functional teams. Provide recommendations to assist quick product ideation and feature launch decisions. Build intelligent data-driven products to provide the best user experience. Basic Qualifications Bachelor’s degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or another related field 3 years of related experience Expertise in observational causal inference, econometric, and statistical models Demonstrated proficiency in programming languages like Python or R for purposes of model development and analysis Proficiency in SQL for data manipulation and analysis Proficiency in building and managing data pipelines for purposes of model development or analysis Preferred Qualifications Master’s or Ph. D. in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or a related field Expertise in time series analysis and forecasting Experience working on pricing algorithms in a production environment Proficiency in designing, launching, and analyzing A/B tests or other types of online experiments Benefits & Compensation for U. S. Employees Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role. About Uber Freight Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com. Candidate Privacy Notice Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice. EEOC Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. For California-based roles: The salary range for this role is $150,000.00 - $182,000.00 per year", "summaryDescription" : "Applied Scientist III at Uber Freight. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-14T20:48:25.611", "createdAt" : "2026-06-14T20:48:25.611", "lastUpdated" : "2026-06-16T01:25:17.071", "ingestTimestamp" : "2026-06-14T20:48:25.611", "mongoId" : "6a2ca41374d8ee00a09afdd1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 182000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning modeling", "Data pipeline development", "ETL processes", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Cloud data stacks", "Regression", "Classification", "Clustering", "Time-series analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 360.95966, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c759574d8ee00a09378a0", "title" : "Applied AI Engineer", "company" : "Redis", "industry" : "Customer Org", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Applied AI Engineer in San Francisco, adjusted for company size and industry." }, "location" : "HQ (San Francisco)", "locations" : [ "HQ (San Francisco)" ], "timestamp" : "2026-06-16T00:58:19.099", "fingerprint" : "15e43b91fc574dcc15e14709a0de230ea02b9161e62c9a2de068ebac84f1e4ff", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/redis/11c6ae5c-d184-41a9-8b5e-d964e0c65867/application", "externalId" : "11c6ae5c-d184-41a9-8b5e-d964e0c65867", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, JS, C/C++, Go, Java, Redis AI", "professionalSkills" : [ "Customer engineering", "Software development" ], "hardSkillsList" : [ "MLOps", "AI/ML models" ], "hardSkills" : [ { "name" : "MLOps", "level" : "intermediate" }, { "name" : "AI/ML models", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Customer success, MLOps", "majorSkillsList" : [ "Applied AI", "Customer success", "MLOps" ], "coreResponsibilities" : "Help customers succeed building AI applications, Write demo applications, Delve deep in core Redis AI technology, Contribute to AI ecosystem integrations, Develop and maintain projects, Provide consultation during sales calls, Participate in sales meetings, Participate in enablement events", "domainKnowledge" : "RAG applications; AI agents; Vector Databases; LLMs; AI systems", "domainList" : [ "rag-applications", "ai-agents", "vector-databases", "llms", "ai-systems" ], "domainSpecificKnowledge" : [ "RAG applications", "AI agents", "Vector Databases", "LLMs", "AI systems" ], "continuousLearning" : "Learning and development opportunities", "innovationCreativity" : "Innovation", "qualificationsBasic" : "5 years of professional programming experience in Python, 2 years of experience working on ML systems, Ability to independently learn new codebases", "qualificationsPreferred" : "Prior contributions to Langchain, Prior contributions to LlamaIndex, Prior contributions to Semantic Kernel, Prior contributions to Redis-related projects, Prior contributions to Feast, Knowledge of RAG patterns, Knowledge of semantic caching, Knowledge of feature storage, Knowledge of embedding generation, Passion for Vector Databases, Passion for LLMs, Passion for AI systems", "workSiteFlexibility" : "Flexible", "rawDescription" : "Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? Why would you love this job? We are seeking a highly skilled and motivated Senior Applied AI Engineer to join our small but efficient Applied AI Engineering Team. As a part of this team, you will play a crucial role in helping our customers succeed with AI, writing demo applications, delving deep in core Redis AI technology, and contributing to AI ecosystem integrations. This position requires a strong focus on customer engineering (80%) and some software development (20%). What you’ll do: · Help our customers succeed in building AI applications with Redis. Our customers are building chatbots, RAG applications, and AI agents, and they need your expertise. · Develop and maintain projects primarily written in Python, with possible involvement in JS, C/C++, Go, or Java depending on your skillset. · Occasionally provide consultation during sales calls, leveraging your expertise in AI. · Occasionally participate in sales meetings, enablement, and other events as a subject matter expert. What will you need to have? · Minimum of 5 years of professional programming experience in Python or a comparable language. · At least 2 years of experience working on ML systems (MLOps), or utilizing AI/ML models. · Willingness to admit when you don’t know something and actively seek opportunities for learning and growth. · Passion for building libraries and systems · Ability to independently learn and navigate new codebases · Ownership mentality, going above and beyond what is required because you genuinely enjoy this type of work. · Excitement about working on projects that are Open Source and/or accessible to the world. · Enjoyment of working in a fast-paced environment with multiple projects to juggle simultaneously. Extra nice if you have: · Prior contributions to projects like Langchain, LlamaIndex, Semantic Kernel, Redis-related projects, or MLOps systems for feature orchestration like Feast. · Knowledge of patterns such as RAG, semantic caching, feature storage and embedding generation. · A strong passion for Vector Databases, LLMs, or AI systems in general. The estimated gross base annual salary range for this role is $175,822 – $263,822 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available. As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy https://redis.com/legal/privacy-policy/ in order to evaluate candidates.", "summaryDescription" : "Applied AI Engineer at Redis. Skills: Applied AI, Customer success, MLOps. Help customers succeed building AI applications. Write demo applications", "createdAt" : "2026-06-14T20:11:25.089", "lastUpdated" : "2026-06-16T00:58:19.099", "ingestTimestamp" : "2026-06-14T20:11:25.089", "mongoId" : "6a2c759574d8ee00a09378a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "MLOps", "AI/ML models", "Applied AI", "Customer success", "Customer engineering", "Software development", "RAG applications", "AI agents", "Vector Databases", "LLMs", "AI systems" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 360.4374, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30564af292fd229cf26dfe", "title" : "Applied Scientist, FinTelligence", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, finance", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-16T06:41:10.410", "fingerprint" : "f4e7218825ec9feb1336ea9b5bdf1d860e69697715c67f58bcf9dcad5e5f297f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448783/apply", "externalId" : "bc46a132-342b-48dc-9e88-20f2ac13c9af", "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", "minimumEducation" : "Master's", "experienceMinYears" : 4, "technicalSkills" : "Python, R, SQL, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, Spark, Scikit-learn, TensorFlow, PyTorch, Tableau, Power BI, Machine Learning, Data Engineering, Statistical Modeling", "professionalSkills" : [ "Quantitative analysis", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning algorithms", "Data modeling", "Data manipulation", "Data visualization" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Design, develop, and deploy machine learning models, Build and maintain data pipelines, Perform data analysis and generate insights, Develop and implement statistical models, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "E-commerce data", "domainList" : [ "e-commerce-data" ], "domainSpecificKnowledge" : [ "E-commerce data" ], "toolProficiency" : [ "Python", "R", "SQL", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "4+ years of experience in data science, Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in a quantitative field, Experience with AWS, GCP, or Azure, Experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch, Experience with data warehousing solutions like Snowflake, BigQuery, or Redshift, Experience with BI tools like Tableau or Power BI, Experience with distributed computing frameworks like Spark", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "At Amazon's FinTech organization, we are building AI systems that process hundreds of millions of financial transactions, turn complex documents into actionable intelligence, and power autonomous agents that learn from every customer interaction. We are looking for an Applied Scientist to lead the development of generative AI applications that change how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations. Key job responsibilities - Building AI systems that finance teams trust enough to rely on without manual review, where precision isn't a nice-to-have, it's a compliance requirement. - Designing agents that learn from user corrections and get measurably better with every interaction, not just at the next model release. - Solving inference at massive scale using tiered model architectures, intelligent routing, and small language models that deliver production-grade accuracy at a fraction of frontier model cost. - Developing evaluation frameworks that catch quality regressions before customers do and gate every model change before it ships. Who Thrives Here - You're someone who cares as much about shipping as about research. - You've built models that run in production, not just in notebooks. - You're comfortable working across the full stack, from model architecture to deployment to measuring whether the customer's workflow actually changed. - You operate well in cross-functional settings where science, engineering, and business teams inform each other continuously. - You'd rather solve a hard real-world problem than optimize a benchmark. What Makes This Different - Your work ships to production and directly changes how thousands of finance professionals operate daily. - The problems are genuinely hard: financial data is messy, regulated, high-stakes, and operates at a scale where naive LLM approaches break down. - You'll work across multiple domains, from contract intelligence to cash application to financial data investigation, not a single narrow use case. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience building machine learning models or developing algorithms for business application - Experience programming in Java, C++, Python or related language - 3+ years of building models for business application experience Preferred Qualifications: - PhD in computer science, machine learning, engineering, or related fields - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience in patents or publications at top-tier peer-reviewed conferences or journals 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 - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, FinTelligence at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Design, develop, and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:12.046", "lastUpdated" : "2026-06-16T06:41:10.410", "ingestTimestamp" : "2026-06-15T22:01:12.046", "mongoId" : "6a30564af292fd229cf26dfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448783/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning algorithms", "Data modeling", "Data manipulation", "Data visualization", "Data Science", "Machine Learning", "Data Engineering", "Quantitative analysis", "Data analysis", "Problem solving", "E-commerce data", "Python", "R", "SQL", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Spark", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 359.68298, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30564af292fd229cf26e05", "title" : "Applied Scientist, FinTelligence", "company" : "Amazon.com Services LLC", "industry" : "Research Science, Applied Science, finance", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:12:00.053", "fingerprint" : "0af68118102a8114599975fc5581c3f4719d1bf662cac46ca684d0e2b84c1252", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448784/apply", "externalId" : "ed93ff4e-d787-44d5-b772-33ddc0a18d1a", "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", "minimumEducation" : "Master's", "experienceMinYears" : 4, "technicalSkills" : "Python, R, SQL, Spark, AWS, GCP, Azure, Snowflake, Redshift, BigQuery, Tableau, Power BI, TensorFlow, PyTorch, Scikit-learn, SageMaker, Vertex AI, ML Studio, Dbt, Airflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data engineering", "Business intelligence", "Quantitative analysis", "Algorithm development" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Model development", "Algorithm implementation", "Data pipeline development", "Statistical modeling", "Machine learning modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Design, develop, and deploy machine learning models, Build and maintain data pipelines, Perform data analysis and generate insights, Develop and implement statistical models, Collaborate with engineering teams, Develop and maintain BI dashboards, Conduct A/B testing and analyze results, Stay up-to-date with the latest ML/AI advancements", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "E-commerce data; Customer behavior analysis; Recommendation systems; Fraud detection", "domainList" : [ "e-commerce-data", "customer-behavior-analysis", "recommendation-systems", "fraud-detection" ], "domainSpecificKnowledge" : [ "E-commerce data", "Customer behavior analysis", "Recommendation systems", "Fraud detection" ], "toolProficiency" : [ "Python", "R", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "Redshift", "BigQuery", "Tableau", "Power BI", "TensorFlow", "PyTorch", "Scikit-learn", "SageMaker", "Vertex AI", "ML Studio", "Dbt", "Airflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "qualificationsBasic" : "4+ years of experience in data science, Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in a relevant field, Experience with AWS, GCP, or Azure, Experience with large-scale data processing frameworks (e.g., Spark), Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Experience with BI tools (e.g., Tableau, Power BI), Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "At Amazon's FinTech organization, we are building AI systems that process hundreds of millions of financial transactions, turn complex documents into actionable intelligence, and power autonomous agents that learn from every customer interaction. We are looking for an Applied Scientist to lead the development of generative AI applications that change how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations. Key job responsibilities - Building AI systems that finance teams trust enough to rely on without manual review, where precision isn't a nice-to-have, it's a compliance requirement - Designing agents that learn from user corrections and get measurably better with every interaction, not just at the next model release - Solving inference at massive scale using tiered model architectures, intelligent routing, and small language models that deliver production-grade accuracy at a fraction of frontier model cost - Developing evaluation frameworks that catch quality regressions before customers do and gate every model change before it ships Who Thrives Here - You're someone who cares as much about shipping as about research. - You've built models that run in production, not just in notebooks. - You're comfortable working across the full stack, from model architecture to deployment to measuring whether the customer's workflow actually changed. - You operate well in cross-functional settings where science, engineering, and business teams inform each other continuously. - You'd rather solve a hard real-world problem than optimize a benchmark. What Makes This Different - Your work ships to production and directly changes how thousands of finance professionals operate daily - The problems are genuinely hard: financial data is messy, regulated, high-stakes, and operates at a scale where naive LLM approaches break down - You'll work across multiple domains, from contract intelligence to cash application to financial data investigation, not a single narrow use case Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in building machine learning models for business application - Experience programming in Java, C++, Python or related language - 3+ years of building models for business application experience Preferred Qualifications: - PhD in computer science, machine learning, engineering, or related fields - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience in patents or publications at top-tier peer-reviewed conferences or journals 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 - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, FinTelligence at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Design, develop, and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:00:47.705", "lastUpdated" : "2026-06-16T06:12:00.053", "ingestTimestamp" : "2026-06-15T22:00:47.705", "mongoId" : "6a30564af292fd229cf26e05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448784/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Model development", "Algorithm implementation", "Data pipeline development", "Statistical modeling", "Machine learning modeling", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Data engineering", "Business intelligence", "Quantitative analysis", "Algorithm development", "E-commerce data", "Customer behavior analysis", "Recommendation systems", "Fraud detection", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Python", "R", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "Redshift", "BigQuery", "Tableau", "Power BI", "TensorFlow", "PyTorch", "Scikit-learn", "SageMaker", "Vertex AI", "ML Studio", "Dbt", "Airflow" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 359.68298, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30753df292fd229c00d6ef", "title" : "Applied Scientist, Processor", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Applied Science, Cloud Computing", "salary" : { "min" : 80000.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Pasadena, California, USA", "locations" : [ "Pasadena, California, USA" ], "timestamp" : "2026-06-16T12:24:32.863", "fingerprint" : "126272dd66ecedb5b337667fd9b1ebfdb73ae3a689f89fb6f9c46985e0a2a793", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449352/apply", "externalId" : "36a14752-8da7-4999-bd2c-5122a2718699", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pasadena", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1476507,-118.1441550" } ], "locationText" : "Pasadena, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, C++, Java, Cloud Computing, Distributed Systems, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Processing, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, GCP, Docker, Kubernetes", "professionalSkills" : [ "System design", "Algorithm design", "Data analysis" ], "hardSkillsList" : [ "Software development", "Cloud computing", "Distributed systems", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Data processing" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Deep Learning, Cloud Computing, Distributed Systems", "majorSkillsList" : [ "Machine Learning", "Deep Learning", "Cloud Computing", "Distributed Systems" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and deploy scalable cloud-based solutions, Collaborate with cross-functional teams, Conduct research and development, Stay up-to-date with the latest advancements", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Machine learning algorithms; Deep learning architectures; Cloud infrastructure; Distributed computing; Data structures; Algorithms", "domainList" : [ "machine-learning-algorithms", "deep-learning-architectures", "cloud-infrastructure", "distributed-computing", "data-structures", "algorithms" ], "domainSpecificKnowledge" : [ "Machine learning algorithms", "Deep learning architectures", "Cloud infrastructure", "Distributed computing", "Data structures", "Algorithms" ], "toolProficiency" : [ "TensorFlow", "PyTorch", "Scikit-learn", "AWS", "Azure", "GCP", "Docker", "Kubernetes" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay up-to-date", "innovationCreativity" : "Research and development", "problemSolvingSkills" : "Problem-solving; Analytical skills", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in software development, 3+ years of experience in cloud computing, 3+ years of experience in distributed systems, 3+ years of experience in machine learning", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with large-scale data processing preferred, Experience with deep learning frameworks preferred, Experience with natural language processing preferred, Experience with computer vision preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist in the Processor Test and Measurement group. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. This role focuses on the verification and validation of the circuit components that make up a quantum error correction (QEC) code — such as gates, reset, and readout — and on understanding how the performance of those components contributes to overall QEC performance. We are looking for someone who enjoys connecting component-level measurements to integrated system behavior, and who is motivated by working across teams to understand it. Much of the work involves partnering with processor design, theory, and QEC colleagues to validate that new devices behave as their Hamiltonians predict, and to explore the gaps when they don't. A comfort with error budgeting — reasoning about where component performance comes from and what limits it — is central to the role. Candidates with a track record of original scientific contributions will be preferred. We value strong engineering principles, resourcefulness, problem solving, and clear communication, along with the ability to work effectively within a team. As an Applied Scientist you will have the opportunity to pursue new ideas and stay abreast of the field of experimental quantum computation. Key job responsibilities We are looking to hire an Applied Scientist to help verify and validate the circuit components of our error-corrected quantum processors and to understand how their performance maps to QEC requirements. Depending on background and interest, the work may include: - Collaborating with theory and processor design teams to develop experimental test plans that validate new processor designs and check that fabricated devices meet their intent. - Characterizing the building blocks of a QEC code and building error budgets that explain and bound their performance. - Designing experiments that help separate effects such as crosstalk and spectator interactions from intrinsic component performance. - Prototyping calibration and measurement approaches that can later be matured for automated, large-scale processor bring-up and QEC demonstrations. - Investigating discrepancies between measured and expected behavior, and feeding what you learn back into design and theory. You will have the opportunity to take part in high-impact research projects that intersect with our engineering roadmap, working closely with processor, theory, and QEC stakeholders so that component-level decisions are informed by overall system performance. A day in the life About the team The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. Inclusive Team Culture Here at Amazon, 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 conferences, inspire us to never stop embracing our uniqueness. Diverse Experiences 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. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Export Control Requirement Due to applicable export control laws and regulations, candidates must be either 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, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility. Basic Qualifications: - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - PhD in electrical engineering, computer science, mathematics or physics - Experience in designing experiments and statistical analysis of results - 3 years experience characterizing quantum systems through measurement, with demonstrated ability to validate and interpret data using theory or simulation tools Preferred Qualifications: - Expertise in superconducting qubits, cavity/circuit QED, and microwave control of superconducting circuits - Knowledge of two-qubit gate dynamics, readout modeling techniques, and low-level pulse optimization - Expertise in the measurement and theory of multiplexed readout of quantum systems - Experience with automated quantum processor bring-up and optimization for QEC applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Pasadena - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Processor at Amazon Development Center U.S., Inc.. Skills: Machine Learning, Deep Learning, Cloud Computing, Distributed Systems. Design and implement machine learning models. Develop and deploy scalable cloud-based solutions", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:53:58.340", "lastUpdated" : "2026-06-16T12:24:32.863", "ingestTimestamp" : "2026-06-16T01:53:58.340", "mongoId" : "6a30753df292fd229c00d6ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449352/apply", "salaryAnnualMin" : 80000, "salaryAnnualMax" : 193200, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Software development", "Cloud computing", "Distributed systems", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Data processing", "Machine Learning", "Deep Learning", "Cloud Computing", "Distributed Systems", "System design", "Algorithm design", "Data analysis", "Agile methodologies", "Machine learning algorithms", "Deep learning architectures", "Cloud infrastructure", "Distributed computing", "Data structures", "Algorithms", "TensorFlow", "PyTorch", "Scikit-learn", "AWS", "Azure", "GCP", "Docker", "Kubernetes" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 358.26624, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e43bf8b1b0376634c929", "title" : "Applied Scientist II", "company" : "Amazon.com Services LLC", "industry" : "Research Science, Applied Science, customer trust and partner support", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T02:55:37.748", "fingerprint" : "3badb4790d100ab071bd247081b9f2a197d03529ca86e72c565c55f9021c1bac", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071443/apply", "externalId" : "0e3d9e36-bf53-493b-822e-d4fb60768188", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Spark, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification models", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Business Intelligence", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Business Intelligence" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Build and maintain business intelligence dashboards, Perform statistical analysis and A/B testing, Collaborate with engineering teams, Communicate findings to stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in a quantitative field, Experience with AWS, GCP, or Azure, Experience with ML frameworks like TensorFlow or PyTorch, Experience with BI tools like Tableau or Power BI, Experience with data warehousing solutions like Snowflake or Redshift", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join us in the evolution of Amazon’s Seller business! The Selling Partner Growth organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources. We are looking for a Applied Scientist II to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of applied scientists and economists, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to have deep understanding on the business domain and have the ability to connect business with science. You are also strong in ML modeling and scientific foundation with the ability to collaborate with engineering to put models in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research). Key job responsibilities As a Sr. Applied Scientist in the team, you will: - Identify opportunities to improve SP growth and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL). - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps. - Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers. - Work with our engineering partners and draw upon your experience to meet latency and other system constraints. - Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver. - Be responsible for communicating our science innovations to the broader internal & external scientific community. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist II at Amazon.com Services LLC. 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