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El Paso:1359 Lomaland Dr (320-4061) (320TX-4061)
1359 Lomaland Dr
Ste 300
El Paso, 79935-5201

" ], "timestamp" : "2026-06-16T00:37:23.704", "fingerprint" : "2e7519991fc412b3a086adc59db60b73d34a073f63820e774de3f032e7a59b64", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34735", "externalId" : "34735", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Paso", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.7601001,-106.4870476" } ], "locationText" : "El Paso, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Customer service", "Problem solving" ], "hardSkillsList" : [ "Unemployment rules application", "Benefit eligibility determination" ], "hardSkills" : [ { "name" : "Unemployment rules application", "level" : "intermediate" }, { "name" : "Benefit eligibility determination", "level" : "intermediate" } ], "majorSkills" : "Investigative work, Unemployment claims", "majorSkillsList" : [ "Investigative work", "Unemployment claims" ], "coreResponsibilities" : "Conduct investigations, Review eligibility for unemployment benefits, Determine employer liability for reimbursement, Interview claimants and employers, Gather facts on claims, Enter fact finding statements, Review claimant requests for additional wages, Review claimant requests for wage deletions, Document determination rationale, Provide information on unemployment insurance claims, Provide information on claims processes, Provide information on claims requirements, Check wage data for unreported earnings, Investigate improper payments, Provide information on appeal process", "teamCollaboration" : "Supportive team", "domainKnowledge" : "Unemployment insurance", "domainList" : [ "unemployment-insurance" ], "domainSpecificKnowledge" : [ "Unemployment insurance" ], "communicationSkills" : "Professional communication", "documentationSkills" : "Documenting rationale", "continuousLearning" : "Training and development opportunities", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Lift up to 15 pounds, 25% travel, Security sensitive position, Criminal background investigation", "qualificationsBasic" : "Six months experience performing auditing, Six months experience investigating, Six months experience as unemployment insurance claims examiner, Six months experience gathering information, Six months experience interviewing, Six months experience counseling, Six months experience instructing, Six months experience demonstrating, Six months experience interpreting policies", "qualificationsPreferred" : "Acceptance into TWC Internship, Acceptance into TWC Apprenticeship", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. 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 1359 Lomaland Dr, El Paso, Texas in the West Texas Tele-Center. 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: An individual with professional communication skills, the ability to handle multiple priorities while meeting strict deadlines. An individual who can provide exemplary customer service while obtaining unemployment insurance benefit information, displays great problem-solving skills, can apply unemployment rules in issuing timely decisions with quality and is able to provide important unemployment program information to our customers so they understand their next steps. To be successful as an investigator, you will have a passion for serving people and be able to work both independently and collaboratively as a part of a supportive team. WHAT YOU WILL DO: The investigator I performs entry-level to routine (journey-level) investigative work. Work involves conducting investigations. Works under moderate supervision, with limited latitude for the use of initiative and independent judgment.   YOU WILL BE TRUSTED TO: -Review and determining eligibility for unemployment benefits including liability of employers for reimbursement -Interview claimants and employers to gather facts on claims being investigated and entering fact finding statements during this process -Review requests from claimants for additional wages and deletions of wages -Document reason for accepting one set of facts over another in the determination's rationale -Provide information on unemployment insurance claims provisions, processes, and requirements to claimants and employers -Check wage data for unreported earnings and investigating improper payments, when needed -Review requests from claimants for additional wages and deletions of wages -Provide information about the appeal process to claimants, as applicable -Perform other duties as assigned. YOU QUALIFY WITH: - Six months of full-time experience performing auditing or investigating work; or unemployment insurance claims examiner tasks; or gathering of information, interviewing, counseling, or in the instruction, demonstration, and interpretation of policies in a public or private enterprise. -Relevant academic credits may be applied toward experience qualifications for this position. -Acceptance into a TWC Internship or TWC Apprenticeship will satisfy the minimum qualifications. YOU ARE A GREAT FIT WITH: -Ability to lift and carry up to 15 pounds of job-related materials   YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $3,311.14/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. Position involves lifting and carrying up to 15 pounds of job-related materials. A skills test and/or written exercise will be required at the time of interview. This is a security sensitive position. A criminal background investigation will be conducted on the final candidates for the job. Incomplete applications may not be considered. TWC may use all available information, including past unemployment claims, to evaluate an applicant’s suitability for the position. Duty involves up to 25% travel within the state of Texas. This is a full-time position that will work 40 hours a week. Generally, the position will work from Monday through Friday from 8:00 AM – 5:00 PM local time. However, alternative hours may be available. You may be called upon to work outside of those hours, weekend, and holidays in the event of a disaster, unforeseen event, or special projects 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_ComplianceInspectionandInvestigation.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). 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. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-El Paso", "summaryDescription" : "Investigator at Texas Workforce Commission. Skills: Investigative work, Unemployment claims. Conduct investigations. 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Computer skills in Microsoft Office as well as standard Power Market Sector design software. (examples include PLS CAD, AutoCAD, Plant 3D, AutoPipe, and Revit) An attitude and commitment to being an active participant of our employee-owned culture What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-California-Irvine", "summaryDescription" : "System Protection and Studies Engineer", "createdAt" : "2026-06-14T01:27:13.288", "lastUpdated" : "2026-06-15T05:13:11.175", "ingestTimestamp" : "2026-06-14T01:27:13.288", "mongoId" : "6a16291d58b93c861e95a4cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Power Market Sector", "Professional Engineer (PE or P. 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This is a one-day assignment with extended hours to ensure safe recovery immediately after the procedure. Care Responsibilities Provide safe transportation to and from the surgical appointment Remain on-site or nearby during procedure Offer post-surgery supervision and companionship Assist with basic needs and comfort after discharge Monitor for any immediate post-op concerns and ensure safety Appointment Details Facility: Vein and Vascular (Lutz, FL) Date: July 10, 2026 Surgery Time: 9:30 AM Estimated Duration: ~2 hours Post-Op Care: Caregiver to remain with client for approximately 6 hours after surgery Ideal Candidate Must have a reliable vehicle Valid driver’s license and safe driving record Patient, attentive, and responsible Comfortable assisting post-procedure clients This role is ideal for a helper experienced in transportation and short-term recovery support, ensuring the client is safe, comfortable, and monitored after surgery. Hiring info: We’re looking for private helpers/ caregivers for clients on Herewith, a free online platform that makes getting hired and paid as a private caregiver fast and easy. Here’s what we provide: ✔️ Free background checks for all applicants ✔️ A professional helper profile to apply for jobs easily ✔️ Real-time job notifications for opportunities in your area ✔️ Convenient mobile app (Helper: Jobs on Herewith) to manage your clients, hours, and payments Once your Herewith helpers profile is set up, you’ll receive instant notifications for new job postings and have the flexibility to apply with just one tap. Get started today and make a meaningful impact in your community! Learn more about Herewith at https://herewith.com/helpers.", "summaryDescription" : "Helpers for In-Home Support at Herewith Caregivers. Skills: Transportation, Post-surgery support. Provide safe transportation. Remain on-site during procedure", "postedDate" : "2026-06-15T23:28:26.151", "createdAt" : "2026-06-15T23:28:26.151", "lastUpdated" : "2026-06-16T10:00:34.548", "ingestTimestamp" : "2026-06-15T23:28:26.151", "mongoId" : "6a305a73f292fd229cf514e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transportation", "Post-surgery support", "Post-surgery care" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69d059fd2beec4dd3dbf3732", "title" : "Investigator, ISAU", "company" : "Office of the Inspector General", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Investigator in the Government industry in Boston, USA, adjusted for seniority and industry." }, "location" : "Massachusetts-Boston", "locations" : [ "Massachusetts-Boston", "Unclassified", "Office of the Inspector General, Full-time, Full-time" ], "timestamp" : "2026-06-15T22:51:55.098", "fingerprint" : "4e381c7af517a83906dfdec2a18a39a285adb437260a839947e0d050ea7aa4a6", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1080995", "externalId" : "1080995", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "remoteFriendly" : false, "rawDescription" : "About the Office of the Inspector General (OIG or Office)  The Massachusetts OIG is at the forefront of promoting effective government and the responsible use of public money and property. The OIG is an independent state agency charged with preventing and detecting fraud, waste, and abuse in the use of public funds and public property. The OIG has broad oversight of how state and local governments use federal, state and local funds and property. The Office is led by the Inspector General of the Commonwealth, who is appointed by the Governor, Attorney General and Auditor. M.G.L. c. 12A, § 2. The OIG is organized into three bureaus: Specialty & General Government, Legal & Compliance, and Operations, Training & Publications. The bureaus focus on specific agencies, issues, or functions. See Welcome to the Office of the Inspector General | Mass.gov for more information about the OIG. Further details may be found at Chapter 12A (malegislature.gov) . Specialty and General Government Bureau The Specialty & General Government Bureau is managed by the Deputy Inspector General. This bureau safeguards public assets through oversight of specific agencies (both statutory and OIG- created divisions), special government funding (like pandemic relief), and more broadly, procurement, state and local government. Internal Special Audit Unit The Internal Special Audit Unit (ISAU) monitors the quality, efficiency and integrity of the Massachusetts Department of Transportation's (MassDOT) and the Massachusetts Bay Transportation Authority (MBTA) operating and capital programs. The ISAU's oversight encompasses all MassDOT's divisions: the Highway Division, the Registry of Motor Vehicles, Rail and Transit, the Aeronautics Division, and the MBTA. By statute, the ISAU is mandated to examine and assess MassDOT’s and MBTA’s governance, risk-management practices and internal processes to ensure they are adequate and effective. As part of its mission, the ISAU conducts investigations and reviews to prevent and detect fraud, waste and abuse of transportation and transit dollars. To help protect transportation funds, the division collaborates with MassDOT and the MBTA to identify ways to lower costs, recover funds, and stop wasteful spending. The ISAU also works to prevent and detect fraud, waste and abuse in the expenditure of public funds on transportation related programs and projects by regional transit authorities and cities and towns. The ISAU operates two confidential hotlines - one for the public and one for MassDOT and MBTA employees to report suspected fraud, waste, or abuse in public transportation spending. Investigator, Internal Special Audit Unit: Position Overview The OIG is seeking candidates who are passionate about public service and who are dedicated to improving the way government delivers public services. The OIG is at the forefront of promoting effective government and responsible use of public money and property. The successful candidate will be an integral part of the collaborative ISAU team that identifies ways MassDOT, the MBTA, and regional and local government entities can operate effectively and prevent and detect fraud, waste, and abuse of transportation dollars. Investigators within the ISAU proactively develop plans to review and investigate transportation and transit operations and spending, as well as complaints received on the ISAU’s public-facing hotlines. The OIG expects that investigators perform reviews and investigations of transportation and transit operations and spending, carry out a range of review and investigative steps, including background research, evaluating hotline complaints, participating in interviews with external parties, documenting meetings, and performing analyses using various forms of evidence. Responsibilities include but are not limited to:    Develop plans to investigate fraud, waste and abuse in the expenditure of public funds or the use of public resources. Conduct prep work, plan for and attend meetings with MassDOT, MBTA, and other state employees related to transportation and transit topics and prepare detailed meeting summaries. Perform a range of investigative duties, such as background research, gathering and evaluating evidence, reviewing documents, and analyzing data and financial records. Document review and investigatory analyses and test work to provide a basis for findings, conclusions and recommendations.   Assist with research and response related to the unit’s public-facing hotline for residents and employees of the Commonwealth. Draft facts, memos, investigative letters and reports that detail findings and recommendations.   Work collaboratively with team of counsel and investigators, as well as other Office divisions, management and professional staff. Assist in review and investigative case planning. Create meeting agendas and questions for external meetings. Takes detailed meeting and interview notes, documents meeting summaries for supervisor review. Review and analyze data, documents and evidence from multiple sources, and develop conclusions. Draft administrative document requests and summonses. Draft sections of reports, letters and memorandums, and recommend corrective actions to improve MassDOT and MBTA processes and procedures. Support the day-to-day operations of ISAU's transportation fraud hotline by handling intake of complaints and referrals and communicating with the public. Provide administrative, grand jury and courtroom testimony when required. Perform additional duties as assigned. Key abilities, skills and experience:   Interest in government and public integrity. Ability to organize and work on multiple projects, both independently and collaboratively. Excellent research skills and attention to detail. Excellent verbal and written communication skills. Interpersonal skills and ability to interact effectively with a team with diverse expertise. Ability to remain flexible and show initiative when completing assignments. Preferred abilities, skills and experience include: Relevant prior experience or undergraduate coursework. Experience working on investigations. Knowledge of fraud schemes or methodologies. Knowledge of state government, notably MassDOT and the MBTA. Experience working in an office setting. Experience with transportation or transit-related projects. Bilingual abilities. Salary: $61,000-$70,000 Other Position Information : Full time/Exempt Hybrid Work Schedule:  The Office of the Inspector General offers a hybrid work schedule. Under this policy, employees may request one of the following weekly hybrid schedules: 1) four days telework and one day onsite; 2) three days telework and two days onsite; 3) two days telework and three days onsite; or 4) one day telework and four days onsite. The onsite location is at OIG’s Boston office and employees may work remotely the remainder of the time at a location approved by their supervisor, so long as they comply with the requirements of the Hybrid Work policy. Employees will be assigned to their onsite workspace based on their approved schedule. The approved telework location must be located within Massachusetts or within an approximately two-hour driving or train commute distance. OIG does not reimburse employees for travel to the office. In addition, the successful candidate may be required to work primarily on site in Boston during the initial training and orientation period and/or for certain positions a primarily onsite role may be necessary. Benefits:   We value our employees and offer benefits that support their lives and well-being, while promoting an environment focused on inclusion, flexibility, professional growth, trust and respect. The Office therefore is pleased to offer a comprehensive benefits package for its employees. The specific components and eligibility may vary based upon position, hours worked per week and other variables. Consequently, specific benefits for this position may be discussed as part of the interview and offer process.  The overall benefits available include paid vacation; sick and personal leave time; health, dental and vision insurance through the Commonwealth’s Group Insurance Commission; and optional pre-tax health savings account plans. To view the details of the various plans and the cost split between employer and employee, go to the Group Insurance Commission website .   Employees also participate in the Commonwealth’s state retirement plan, which may become a defined benefit plan for those who both vest and subsequently retire from state service. For more information, visit the Massachusetts State Retirement Board website .  In addition, the Office provides employees the opportunity to elect life insurance, long-term disability insurance, deferred compensation savings, tuition remission and pre-tax commuter account plans, along with other programs.     This position may be eligible for the federal Public Service Loan Forgiveness (PSLF) program administered by the federal government.      How to Apply Submit cover letter and resume via email by May 1, 2026 to:   Sarah Hoover, Director of Human Resources & Recruitment Office of the Inspector General  IGO-employment@mass.gov  Diversity and Inclusion Statement   Diversity Officer: Sarah Hoover The Office of the Inspector General is an Equal Opportunity Employer committed to creating and supporting a diverse and inclusive work and educational community that is free of all forms of discrimination. The Office does not tolerate discrimination or harassment on the basis of age, color, disability, gender identity, genetic information, national origin, parental status, political affiliation, race, religion, sex, sexual orientation or veteran status.   The Office promotes access, inclusion and diversity for all staff, believing that these qualities are foundational components of an outstanding working environment and in keeping with its mission. The Office actively seeks to increase the diversity of its workforce and is interested in candidates whose experience and qualifications support an ongoing commitment to this core quality.  Investigator, IGO", "summaryDescription" : "Investigator, ISAU at Office of the Inspector General", "createdAt" : "2026-06-14T19:16:15.623", "lastUpdated" : "2026-06-15T22:51:55.098", "ingestTimestamp" : "2026-06-14T19:16:15.623", "mongoId" : "69d059fd2beec4dd3dbf3732", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a3ea", "title" : "System Protection and Studies Team Lead", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Lead System Protection and Studies Team Lead in Saint Louis Park, United States, adjusted for industry and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T04:52:23.197", "fingerprint" : "1a6e933aea9a715c04753394dbcaf3c8d5f9c600bb4a7e4789b3044c0595db5d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=744849", "externalId" : "744849", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "softSkillsList" : [ "Leadership", "Organizational skills" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Organizational skills" } ], "communicationSkills" : "Communication skills", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Minimum of 7 years experience", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Bachelor's degree or equivalent experience A minimum of 7 years experience Professional registration, license or certification may be required based on role Strong communication and listening skills Ability to handle multiple assignments Good leadership and organizational skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "System Protection and Studies Team Lead at HDR", "createdAt" : "2026-06-14T01:00:54.863", "lastUpdated" : "2026-06-15T04:52:23.197", "ingestTimestamp" : "2026-06-14T01:00:54.863", "mongoId" : "6a16291c58b93c861e95a3ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Leadership", "Organizational skills" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.92 }, { "id" : "69d059fd2beec4dd3dbf3729", "title" : "Dean of Business and Professional Studies", "company" : "Northern Essex Community College", "industry" : "Education", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Dean in the Education industry in Haverhill, MA, adjusted for seniority and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Education", "Northern Essex Comm College, Full-time, Full-time" ], "timestamp" : "2026-06-15T07:44:10.804", "fingerprint" : "930dd6539256f11c390a7283ff5401a5cdff493aff7f9c8b37ddbc257454b7f9", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1080944", "externalId" : "1080944", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Haverhill", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7777829,-71.0767724" }, { "city" : "Lawrence", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7070354,-71.1631137" } ], "locationText" : "Haverhill, Massachusetts, United States; Lawrence, Massachusetts, United States", "employmentType" : "FULL_TIME", "majorSkills" : "Academic leadership, Administration", "majorSkillsList" : [ "Academic leadership", "Administration" ], "coreResponsibilities" : "Serve as sole management person, Provide academic leadership and administration, Hear student concerns, Implement collective bargaining agreements, Supervise and evaluate personnel, Ensure quality control for curriculum, Exercise leadership in curriculum development, Develop and implement budgets, Provide leadership for personnel recruitment, Provide leadership in grant administration, Develop master course schedules, Assign faculty/staff workloads, Attend academic meetings, Participate in staff meetings, Serve on Academic Affairs Leadership Team, Accept other duties", "teamCollaboration" : "Academic Affairs Leadership Team", "domainKnowledge" : "Community college mission; Hispanic Serving Institution", "domainList" : [ "community-college-mission", "hispanic-serving-institution" ], "domainSpecificKnowledge" : [ "Community college mission", "Hispanic Serving Institution" ], "continuousLearning" : "Educational benefits", "innovationCreativity" : "Initiative; Innovation", "outcomesObjectives" : "Student success; Close student achievement gaps", "qualificationsBasic" : "Masters or doctoral degree, Outstanding record in higher education, Service as Chair, Assistant Dean, Associate Dean, or Dean, Community college teaching experience, Experience with culturally diverse student population", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "PLEASE NOTE, WE DO NOT REVIEW APPLICATIONS SUBMITTED THROUGH MASSCAREERS. PLEASE APPLY VIA THE LINK BELOW: https://necc.interviewexchange.com/jobofferdetails.jsp?JOBID=198929 About Northern Essex Community College: THE COLLEGE: Northern Essex Community College (NECC) serves about 5,000 credit students each semester on two campuses located in the beautiful, historic Merrimack Valley region of northeast Massachusetts. Our suburban Haverhill campus sits on 106 acres near Kenoza Lake and features a Technology Center and an award-winning Student One-Stop Center. Our urban campus in Lawrence occupies a number of buildings in the heart of downtown. Most recently, we have constructed a new 44,000 square foot health technologies facility, the Dr. Ibrahim El-Hefni Allied Health & Technology Center. Both campuses are a short drive to Boston and to the beaches and state parks along the coast. The College has been building an organizational culture that values initiative and innovation, and seeks to identify and develop the strengths in students, faculty, staff, and programs in order to grow and improve. NECC is also committed to using evidence to guide planning and decision-making. These values are reflected in the use of Appreciative Inquiry for strategic planning and accreditation; in our investment in strengths-based, institution-wide professional development; and in our ten-year involvement as a Leader College in Achieving the Dream, a national network of community colleges dedicated to using data to close student achievement gaps. We are also committed to the recruitment and retention of a diverse workforce that reflects the communities we serve. With over 40% Hispanic students, NECC was the first federally recognized Hispanic Serving Institution (HSI) in New England. We seek leaders who are committed to the community college mission, actively engaged in promoting diversity, and prepared to use their unique strengths and innovation with the goal of student success. Job Description: POSITION: Full-Time Dean of Business and Professional Studies (Dean): Academic Affairs; Haverhill and Lawrence Campuses; 37.5 hours per week; Non-Unit Professional Position. SUMMARY: Reporting to the Vice President of Academic Affairs, the Dean is responsible for the overall academic leadership and administration of unit staff, programs, courses, and services with this division. The Dean directly supervises faculty and staff across the following departments: Business & Accounting; Culinary & Hospitality; American Sign Language Studies; Criminal Justice; Early Childhood Education; Educational Studies; and Human Services, ensuring high-quality instruction and alignment with institutional goals. RESPONSIBILITIES: The responsibilities include, but are not limited to the following: Serves as the sole management person for the division. Provides overall academic leadership and administration of faculty, staff, programs, courses and/or services, for all credit courses within the division. Hears students concerns, as appropriate. Implements collective bargaining agreements and policies, in particular, complete supervision and evaluation of professional and classified personnel. Ensures quality control for curriculum offerings and/or services. Exercises leadership in the development and evaluation of curriculum and/or services. Develops and implements grant and department budgets. Provides leadership for the recruitment, selection and development of professional and classified personnel. Provides leadership in the development and administration of grants. Develops master course schedules and assignments of faculty/staff workloads. Attends and participates in academic and other appropriate staff meetings. Serves on Academic Affairs Leadership Team Accepts other duties as may be assigned. PLEASE NOTE, WE DO NOT REVIEW APPLICATIONS SUBMITTED THROUGH MASSCAREERS. PLEASE APPLY VIA THE LINK BELOW: https://necc.interviewexchange.com/jobofferdetails.jsp?JOBID=198929 Requirements: MINIMUM QUALIFICATIONS: A Masters or doctoral degree related to any one of the academic areas within this division (Business & Accounting; Culinary & Hospitality; American Sign Language Studies; Criminal Justice; Early Childhood Education; Educational Studies; Human Services) or related field. An outstanding record in higher education. Service as a Chair, Assistant Dean, Associate Dean, or Dean of an academic department or division within a community college or a baccalaureate institution in one of the academic areas within this division (Business & Accounting; Culinary & Hospitality; American Sign Language Studies; Criminal Justice; Early Childhood Education; Educational Studies; Human Services). Community college teaching experience in any one of the academic areas within this division (Business & Accounting; Culinary & Hospitality; American Sign Language Studies; Criminal Justice; Early Childhood Education; Educational Studies; Human Services). Experience in working with a culturally diverse student population and an abiding personal commitment to the success of all students. Extensive experience and facility in the teaching and supervision of online courses. A commitment to and ability to travel between two campuses (Lawrence and Haverhill, MA). An innovative spirit with rich experience in at least some of the following educational priorities at NECC: early college program, open educational resources, competency- based education, academic internships, apprenticeships, CTE programming, and equity-based education. PREFERRED QUALIFICATIONS: Bilingual (Spanish/English) EQUIVALENCY STATEMENT : Applicants who do not meet the qualifications as noted above are encouraged to put in writing precisely how their background and experience has prepared them with the equivalent combination of education, training, and experience required for the responsibilities of this position. BACKGROUND CHECK : Candidates will be required to pass a CORI and SORI check as a condition of employment. Additional Information: SALARY: Anticipated starting salary range is $130,000.00 - $140,000.00 annually with complete fringe benefit package including competitive health insurance, dental insurance, basic life insurance, long-term disability insurance, paid sick, vacation and personal leave, educational benefits for employee/spouse/dependents, and excellent retirement benefits. Official transcripts will be required at the time of hire. ANTICIPATED START DATE: June 15th, 2026 Application Instructions: TO APPLY: To be considered for this position click on the \"Apply Now\" button, you will be prompted to set up a new account or login to an existing account. You will be able to upload the following required documents for consideration: Cover Letter, describing your qualifications and/or how you may be best suited for the role Resume/CV Review of applications will begin 5 business days from the posting date and will continue until the position is filled. **Please note that finalist candidates will be asked to provide contact information for three (3) professional references, including current supervisor (or at least two previous supervisors) DEADLINE: Open until filled Northern Essex Community College is an affirmative action/equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, disability, religion, age, veteran or military status, genetic information, gender identity, or sexual orientation in its programs and activities as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statues and college policies. The College prohibits sexual harassment, including sexual violence. Inquiries or complaints concerning discrimination, harassment, retaliation, or sexual violence shall be referred to the College's Affirmative Action Officer/Title IX Coordinator, Elizabete Trelegan (Assistant Director of Human Resources, B-219,978-556-3928/ etrelegan@necc.mass.edu), the Massachusetts Commission Against Discrimination, the Equal Employment Opportunities Commission or the United States Department of Education's Office for Civil Rights. Northern Essex Community College will provide reasonable accommodations to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer. Prospective employees are encouraged to review the College's Annual Security Report (ASR), in compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, which can be found on the disclosure page of the College's website at: http://www.necc.mass.edu/clery Dean", "summaryDescription" : "Dean of Business and Professional Studies at Northern Essex Community College. Skills: Academic leadership, Administration. Serve as sole management person. Provide academic leadership and administration", "createdAt" : "2026-06-14T00:41:49.907", "lastUpdated" : "2026-06-15T07:44:10.804", "ingestTimestamp" : "2026-06-14T00:41:49.907", "mongoId" : "69d059fd2beec4dd3dbf3729", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Academic leadership", "Administration", "Community college mission", "Hispanic Serving Institution" ], "skillCount" : 4, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafe274d8ee00a09d81d2", "title" : "Global Investigator", "company" : "TRM Labs", "industry" : "GTM", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Global Investigator in Washington, United States, adjusted for the technology industry and company size." }, "location" : "Washington DC", "locations" : [ "Washington DC", "United States" ], "certifications" : [ "Public Trust clearance" ], "timestamp" : "2026-06-15T12:53:00.333", "fingerprint" : "74f178a4605e50e4afd3469c108eb8454425fbccf499dd14a74fa90be29640bc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/trm-labs/280107d6-7c1b-4482-bddd-6d3a3d41aa24/application", "externalId" : "280107d6-7c1b-4482-bddd-6d3a3d41aa24", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AI", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Financial crime investigation", "Complaint triage", "Alert dispositioning", "Investigative judgment" ], "hardSkills" : [ { "name" : "Financial crime investigation", "level" : "intermediate" }, { "name" : "Complaint triage", "level" : "intermediate" }, { "name" : "Alert dispositioning", "level" : "intermediate" }, { "name" : "Investigative judgment", "level" : "intermediate" } ], "majorSkills" : "AI-supported investigation, Complaint review, Case dispositioning", "majorSkillsList" : [ "AI-supported investigation", "Complaint review", "Case dispositioning" ], "coreResponsibilities" : "Review crypto-scam complaints, Review related artifacts, Validate proposed dispositions, Override proposed dispositions, Route matters to downstream workflow, Hold disposition call on every case, Validate disposition to fire handoff, Clear daily queue, Override AI model, Catch model errors, Flag patterns across clusters, Surface model errors to engineering, React timely to fund movement, Support other teams on time sensitive issues, Continuously learn new issues in crypto", "teamCollaboration" : "Cross-functional coordination; Vendor/stakeholder management; Work with engineers; Work with analysts; Work with legal counterparts; Work with customers", "domainKnowledge" : "Financial crime; Pig butchering syndicates; Romance fraud networks; Investment scam operations; Crypto-scam; Complaint data literacy; Cryptolockchain literacy; On-chain analysis", "domainList" : [ "financial-crime", "pig-butchering-syndicates", "romance-fraud-networks", "investment-scam-operations", "crypto-scam", "complaint-data-literacy", "cryptolockchain-literacy", "on-chain-analysis" ], "domainSpecificKnowledge" : [ "Financial crime", "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "Crypto-scam", "Complaint data literacy", "Cryptolockchain literacy", "On-chain analysis" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Written communication", "continuousLearning" : "Continuous learning", "problemSolvingSkills" : "Investigative judgment", "specialRequirements" : "NA-batch shift availability, US Citizenship", "outcomesObjectives" : "Turn AI leads into actionable outcomes; Clear the daily queue", "qualificationsBasic" : "3–5 years experience triaging financial-crime complaints, 3–5 years dispositioning alerts, AI fluency required, US Citizenship required, Ability to obtain Public Trust clearance", "qualificationsPreferred" : "Cryptolockchain literacy at a read-and-triage level", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Scam Investigations team is TRM’s tip of the spear against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. The team operates an integrated workflow — from AI-supported complaint triage to time-sensitive investigation, escalation, and recovery support for victims. As a Global Investigator, you are the human judgment layer that turns AI-supported leads into actionable investigative outcomes. You review crypto-scam complaints and related artifacts at scale, validate or override proposed dispositions, and route matters to the appropriate downstream workflow. The impact you will have here: - Hold the disposition call on every case in your queue. Your validated disposition fires the automated handoff downstream. Clearing the daily queue is the core operational rhythm of the role. - Be the human override on AI. When the model is wrong, you catch it. Your override pattern teaches engineering where the confidence schema and auto-cluster logic need to improve. - Flag patterns, not just cases. When the same model error shows up across multiple clusters, surface it. What we’re looking for: - 3–5 years of experience triaging financial-crime complaints or dispositioning alerts in a high-volume environment — for example, a bank or VASP financial intelligence unit, a cyber-fraud complaint or task-force program, a cryptocurrency exchange’s compliance or investigations team, or a comparable mission. You have personally decided how individual cases get routed and owned the quality of those calls. You can walk us through a specific override — what the system said, what you decided instead, and why — and articulate, without a checklist, the difference between a good lead and noise worth ignoring. - AI fluency (required) — AI tools are core to your workflow. You can show specific ways AI has changed how you triage, draft, and pivot. AI fluency is evaluated during the interview process. - Complaint-data literacy — you know what separates a useful complaint from a noisy one in a high-volume feed, and you can read victim narratives — including screenshots, forwarded chat logs, and ragged copy-paste — without losing the thread of what actually happened. - Crypto/blockchain literacy at a read-and-triage level — You can recognize crypto artifacts, interpret crypto-related complaints, and know when a case is ready for asset-recovery review. You do not need to be a tracing expert. We can teach on-chain tradecraft; we cannot teach investigative judgment. - Strong written communication — your override rationale and pattern-level feedback need to be useful to engineering, the Manager, and downstream investigators. - US Citizenship required - NA-batch shift availability (location: anywhere in the US; one of two seats based in the Washington, D.C. / MD / VA area, hybrid) - Ability to obtain Public Trust clearance About the team: - Distributed, async-first via Slack and Notion, with structured syncs for alignment. Primary time-zone overlap: US Eastern / Central. - High autonomy, high standards, low bureaucracy — work directly with engineers, analysts, legal counterparts, and customers who depend on the team’s output. Team operating rhythms: - Daily action-queue clear and async standups via Slack on active work - Weekly team sync with the Investigations Manager - Regular engineering feedback sessions — you bring the week’s override patterns - All output documented in Notion and TRM’s investigative tools Learn about TRM Speed in this position: - React timely to the movement of funds during an ongoing investigation. - Support other teams on time sensitive issues that might be unforeseen. - Continuously learn new issues in crypto. LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "Global Investigator at TRM Labs. Skills: AI-supported investigation, Complaint review, Case dispositioning. Review crypto-scam complaints. Review related artifacts", "createdAt" : "2026-06-13T23:19:36.431", "lastUpdated" : "2026-06-15T12:53:00.333", "ingestTimestamp" : "2026-06-13T23:19:36.431", "mongoId" : "6a2cafe274d8ee00a09d81d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial crime investigation", "Complaint triage", "Alert dispositioning", "Investigative judgment", "AI-supported investigation", "Complaint review", "Case dispositioning", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Financial crime", "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "Crypto-scam", "Complaint data literacy", "Cryptolockchain literacy", "On-chain analysis", "Public Trust clearance", "AI tools" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ec72e84c40e2acd1d0b674", "title" : "Investigator (Statewide)", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Investigator in Austin, Texas, adjusted for government industry and full-time employment." }, "location" : "826947", "locations" : [ "826947", "
Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

" ], "timestamp" : "2026-06-15T09:17:33.024", "fingerprint" : "d4d492997a074dfa7b11b4cbe71878d0794fc5c4513bc9461966d2a92fb670b2", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34734", "externalId" : "34734", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Technical assistance", "Information gathering", "Interviewing", "Counseling", "Instruction demonstration interpretation" ], "hardSkillsList" : [ "Investigative work", "Analyze issues", "Prepare investigation scope", "Determine investigative approach", "Maintain objectivity", "Provide technical assistance", "Coach investigators", "Recommend improvements", "Conduct research", "Analyze information", "Draw conclusions", "Analyze data", "Apply laws", "Apply agency policies", "Draw logical conclusions", "Train investigators", "Train TWC staff", "Train board staff", "Train contractors" ], "softSkillsList" : [ "Writing skills", "Self-directed", "Adult learner", "Effective communication", "Relationship building" ], "hardSkills" : [ { "name" : "Investigative work", "level" : "intermediate" }, { "name" : "Analyze issues", "level" : "intermediate" }, { "name" : "Prepare investigation scope", "level" : "intermediate" }, { "name" : "Determine investigative approach", "level" : "intermediate" }, { "name" : "Maintain objectivity", "level" : "intermediate" }, { "name" : "Provide technical assistance", "level" : "intermediate" }, { "name" : "Coach investigators", "level" : "intermediate" }, { "name" : "Recommend improvements", "level" : "intermediate" }, { "name" : "Conduct research", "level" : "intermediate" }, { "name" : "Analyze information", "level" : "intermediate" }, { "name" : "Draw conclusions", "level" : "intermediate" }, { "name" : "Analyze data", "level" : "intermediate" }, { "name" : "Apply laws", "level" : "intermediate" }, { "name" : "Apply agency policies", "level" : "intermediate" }, { "name" : "Draw logical conclusions", "level" : "intermediate" }, { "name" : "Train investigators", "level" : "intermediate" }, { "name" : "Train TWC staff", "level" : "intermediate" }, { "name" : "Train board staff", "level" : "intermediate" }, { "name" : "Train contractors", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Writing skills" }, { "name" : "Self-directed" }, { "name" : "Adult learner" }, { "name" : "Effective communication" }, { "name" : "Relationship building" } ], "majorSkills" : "Investigative work, Analyze issues, Draw conclusions", "majorSkillsList" : [ "Investigative work", "Analyze issues", "Draw conclusions" ], "coreResponsibilities" : "Analyze issues/allegations, Determine investigative approach, Prepare investigation scope, Determine appropriate use of interviews, Determine other investigative techniques, Maintain investigative objectivity, Maintain investigative impartiality, Advise boards, Provide technical assistance, Provide training to boards, Coach board investigators, Recommend next steps, Recommend improvements, Conduct thorough research, Analyze information, Draw evidence-based conclusions, Analyze available data, Apply knowledge of laws, Apply agency policies, Draw logical conclusions, Train investigators, Train TWC staff, Train board staff, Train contractors, Perform other duties", "teamCollaboration" : "Relationship building with workforce boards; Relationship building with other divisions; Relationship building with Office of Investigations", "domainKnowledge" : "TWC programs; Child Care programs; State laws; Federal laws; Agency policies", "domainList" : [ "twc-programs", "child-care-programs", "state-laws", "federal-laws", "agency-policies" ], "domainSpecificKnowledge" : [ "TWC programs", "Child Care programs", "State laws", "Federal laws", "Agency policies" ], "communicationSkills" : "Verbal skills; Written skills", "continuousLearning" : "Training and development opportunities", "problemSolvingSkills" : "Analyze issues; Draw conclusions; Independent judgment", "specialRequirements" : "Texas resident, Up to 25% travel", "outcomesObjectives" : "Draw evidence-based conclusions", "qualificationsBasic" : "1 year 6 months experience, Auditing or investigating experience, Unemployment insurance claims examiner experience, Information gathering experience, Interviewing experience, Counseling experience, Instruction demonstration interpretation experience", "qualificationsPreferred" : "Investigative experience, Knowledge of TWC programs, Experience conducting training, Experience developing training, Bilingual English/Spanish speaker", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. 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. TWC's main office is located at 101 E.15th Street, Austin, TX, but this position is available for anyone in the State of Texas to apply. This position is in our FDCM/Program Investigations Department. 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: You are an experienced investigator with strong writing skills who is a self-directed and an intrinsically motivated adult learner. You communicate effectively and are capable of building relationships with our workforce boards and other divisions within TWC and the Office of Investigations. WHAT YOU WILL DO: The Investigator III performs complex (journey-level) investigative work. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: - Analyze issues/allegations to determine appropriate investigative approach. - Prepare investigation plans; define scope and objective of investigations. - Determine appropriate use of interviews and other investigative techniques. - Maintain investigative objectivity and impartiality. - Advise and/or provide technical assistance training to the boards - Coach board investigators on their investigations and recommend next steps and improvements. - Conduct thorough research and analyze information to draw evidence-based conclusions. - Analyze available data relating to issues/allegations; apply knowledge of relevant state and federal laws, agency policies to draw logical conclusions. - May train investigators, TWC staff, board staff, contractors, or others. - Perform other duties as assigned. YOU QUALIFY WITH: - One year and six months of full-time experience performing auditing or investigating work; or unemployment insurance claims examiner tasks; or gathering of information, interviewing, counseling or in the instruction, demonstration, and interpretation of policies in a public or private enterprise. - Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: - Investigative experience - Knowledge of TWC programs, specifically Child Care - Experience conducting and developing training - Excellent communication, verbal and written skills. - Bilingual, English/Spanish speaker YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $4,591.33/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. Duty involves up to 25% travel within the state of Texas. 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_ComplianceInspectionandInvestigation.pdf . HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). 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. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Investigator (Statewide) at Texas Workforce Commission. Skills: Investigative work, Analyze issues, Draw conclusions. Analyze issues/allegations. Determine investigative approach", "createdAt" : "2026-06-14T02:48:45.154", "lastUpdated" : "2026-06-15T09:17:33.024", "ingestTimestamp" : "2026-06-14T02:48:45.154", "mongoId" : "69ec72e84c40e2acd1d0b674", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Investigative work", "Analyze issues", "Prepare investigation scope", "Determine investigative approach", "Maintain objectivity", "Provide technical assistance", "Coach investigators", "Recommend improvements", "Conduct research", "Analyze information", "Draw conclusions", "Analyze data", "Apply laws", "Apply agency policies", "Draw logical conclusions", "Train investigators", "Train TWC staff", "Train board staff", "Train contractors", "Writing skills", "Self-directed", "Adult learner", "Effective communication", "Relationship building", "Technical assistance", "Information gathering", "Interviewing", "Counseling", "Instruction demonstration interpretation", "TWC programs", "Child Care programs", "State laws", "Federal laws", "Agency policies" ], "skillCount" : 34, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e4ce260f92cbf8ebea", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T04:30:12.071", "fingerprint" : "4c3ef41ac93a5b7b891c5b7f2c818baf72f5e901c05cb63ef0dfab0c9c580562", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099511/apply", "externalId" : "bfdf2046-c583-4393-91a1-04ff8140add1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, Python, Unix/Linux", "professionalSkills" : [ "Machine learning engineering", "Deep learning", "LLM inference infrastructure", "GenAI workloads" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Deep learning, Generative AI, LLM", "majorSkillsList" : [ "Machine learning", "Deep learning", "Generative AI", "LLM" ], "coreResponsibilities" : "Develop scalable machine learning models, Develop effective machine learning models, Develop optimization strategies, Conduct research on new machine learning modeling, Optimize all aspects of Sponsored Products business, Enhance scalability of training systems, Enhance automation of training systems, Enhance efficiency of training systems, Enhance scalability of inference systems, Enhance automation of inference systems, Enhance efficiency of inference systems, Pioneer development of LLM inference infrastructure, Support next-generation GenAI workloads", "teamCollaboration" : "Partner with engineers and scientists", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Amazon Ads; Advertising landscape; Customer experience; Advertising lifecycle; Advertising performance; Customer insights; AI technologies; Marketplace; Ad response prediction; GenAI workloads", "domainList" : [ "sponsored-products", "sponsored-brands", "amazon-ads", "advertising-landscape", "customer-experience", "advertising-lifecycle", "advertising-performance", "customer-insights", "ai-technologies", "marketplace", "ad-response-prediction", "genai-workloads" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Amazon Ads", "Advertising landscape", "Customer experience", "Advertising lifecycle", "Advertising performance", "Customer insights", "AI technologies", "Marketplace", "Ad response prediction", "GenAI workloads" ], "innovationCreativity" : "Innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems; Innovators dedicated to developing responsible and intelligent AI technologies", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years of building models, 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 algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Key job responsibilities As an Applied Scientist, you will: * Develop scalable and effective machine learning models and optimization strategies to solve business problems. * Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business. * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale. Basic Qualifications: - 3+ years of building models for business application experience - 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $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, Sponsored Products and Brands at Amazon.com LLC. Skills: Machine learning, Deep learning, Generative AI, LLM. Develop scalable machine learning models. Develop effective machine learning models", "postedDate" : "2026-06-13T14:14:51.888", "createdAt" : "2026-06-13T14:14:51.888", "lastUpdated" : "2026-06-15T04:30:12.071", "ingestTimestamp" : "2026-06-13T14:14:51.888", "mongoId" : "68e0a7e4ce260f92cbf8ebea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099511/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Machine learning", "Deep learning", "Generative AI", "LLM", "Machine learning engineering", "LLM inference infrastructure", "GenAI workloads", "Sponsored Products", "Sponsored Brands", "Amazon Ads", "Advertising landscape", "Customer experience", "Advertising lifecycle", "Advertising performance", "Customer insights", "AI technologies", "Marketplace", "Ad response prediction" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cafe274d8ee00a09d81c5", "title" : "Global Investigator - EMEA", "company" : "TRM Labs", "industry" : "GTM", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Global Investigator in the Technology industry in the United Kingdom, adjusted for seniority and company size." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-15T07:07:54.135", "fingerprint" : "389fc9519bb709316dc5f7d6b36e5e5b32e127b08cede859b3bc2e2816017cb8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/trm-labs/8554f8ec-d36a-4525-9a63-f899b2e89985/application", "externalId" : "8554f8ec-d36a-4525-9a63-f899b2e89985", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Risk management", "Legal analysis", "Compliance oversight" ], "hardSkillsList" : [ "Asset recovery", "Blockchain tracing", "VASP tracing", "Backtrace analysis" ], "softSkillsList" : [ "Adaptability", "Creative problem-solving" ], "hardSkills" : [ { "name" : "Asset recovery", "level" : "intermediate" }, { "name" : "Blockchain tracing", "level" : "intermediate" }, { "name" : "VASP tracing", "level" : "intermediate" }, { "name" : "Backtrace analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" }, { "name" : "Creative problem-solving" } ], "majorSkills" : "Scam investigation, Blockchain analysis, Asset recovery", "majorSkillsList" : [ "Scam investigation", "Blockchain analysis", "Asset recovery" ], "coreResponsibilities" : "Validate blockchain leads, Conduct tracing, Assess regulated platforms, Produce investigative documentation, Support victim recovery outcomes, Validate blockchain signals, Escalate high-confidence matters, Trace victim funds, Run backtrace for frozen funds, Support asset-preservation workflows", "teamCollaboration" : "Follow-the-sun rotation; Distributed async-first; Structured syncs; Cross-functional teams", "domainKnowledge" : "Pig butchering syndicates; Romance fraud networks; Investment scam operations; Cryptocurrency investigations; Regulated platforms; Blockchain technology", "domainList" : [ "pig-butchering-syndicates", "romance-fraud-networks", "investment-scam-operations", "cryptocurrency-investigations", "regulated-platforms", "blockchain-technology" ], "domainSpecificKnowledge" : [ "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "Cryptocurrency investigations", "Regulated platforms", "Blockchain technology" ], "toolProficiency" : [ "Slack", "Notion" ], "communicationSkills" : "Written communication", "documentationSkills" : "Investigative documentation", "problemSolvingSkills" : "Creative problem solving", "outcomesObjectives" : "Victim-centered recovery outcomes", "qualificationsBasic" : "3–5 years cryptocurrency investigations, 3–5 years asset-recovery experience, Regulated platforms behavior understanding, Blockchain / cryptocurrency tracing, Forward-then-backward trace, Exchange attribution, Co-mingling handling, Multi-hop VASP tracing, LIFO/FIFO backtrace for recovery, Investigative packages for legal, Investigative packages for compliance, Investigative packages for enforcement, AI fluency", "qualificationsPreferred" : "Creative tactical thinking", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Scam Investigations team leads TRM's response against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. The team operates an integrated workflow — from AI-supported complaint triage to time-sensitive investigation, escalation, and recovery support for victims. The team runs a follow-the-sun rotation with investigators across NA, EMEA, and APAC for around-the-clock coverage. Distributed, async-first via Slack and Notion, with structured syncs for alignment. High autonomy, high standards, low bureaucracy. As a Global Investigator (EMEA), you will work at the recovery-focused layer of scam investigation. You will validate high-priority blockchain leads, conduct forward and backward tracing, assess whether funds touch regulated platforms or other actionable endpoints, and produce clear investigative documentation that supports time-sensitive escalation and victim-centered recovery outcomes. The Impact You Will Have: - Validate time-sensitive blockchain signals and move high-confidence matters through the appropriate escalation workflow - Trace victim funds end-to-end — forward to the wallets that consolidate them, backward to the platforms they came from - Own the recovery side. After a freeze, run the backtrace that ties frozen funds to specific victims - Support time-sensitive asset-preservation workflows with regulated platforms and ecosystem partners What We're Looking For: - 3–5 years of cryptocurrency investigations or asset-recovery experience - You understand how regulated platforms behave under request - Blockchain / cryptocurrency tracing (required, gating) — forward-then-backward trace, exchange attribution, co-mingling handling, multi-hop VASP tracing, and LIFO/FIFO backtrace for recovery work. Non-negotiable. - Experience producing investigative packages that can support formal legal, compliance, or enforcement workflows - Creative tactical thinking - AI fluency (required) - Strong written communication LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "Global Investigator - EMEA at TRM Labs. Skills: Scam investigation, Blockchain analysis, Asset recovery. Validate blockchain leads. Conduct tracing", "createdAt" : "2026-06-14T21:04:37.851", "lastUpdated" : "2026-06-15T07:07:54.135", "ingestTimestamp" : "2026-06-14T21:04:37.851", "mongoId" : "6a2cafe274d8ee00a09d81c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Asset recovery", "Blockchain tracing", "VASP tracing", "Backtrace analysis", "Adaptability", "Creative problem-solving", "Scam investigation", "Blockchain analysis", "Risk management", "Legal analysis", "Compliance oversight", "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "Cryptocurrency investigations", "Regulated platforms", "Blockchain technology", "Slack", "Notion" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafe274d8ee00a09d81cb", "title" : "Global Investigator - APAC", "company" : "TRM Labs", "industry" : "GTM", "location" : "APAC", "locations" : [ "APAC", "Thailand" ], "timestamp" : "2026-06-15T14:15:58.690", "fingerprint" : "7cf44b2f71bb5b4bc7e41904c64cb58ddec9c1fdc4d38e0c4a4327f94a221fa6", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/trm-labs/2e45c7a8-c7da-4b55-bfca-6e2a603fb726/application", "externalId" : "2e45c7a8-c7da-4b55-bfca-6e2a603fb726", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "as", "workMode" : "onsite" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Junior", "technicalSkills" : "blockchain, cryptocurrency", "professionalSkills" : [ "cryptocurrency investigations or asset-recovery experience — law enforcement crypto units, blockchain analytics firms, exchange compliance investigations, or equivalent. You understand how regulated platforms behave under request, including the difference between voluntary cooperation and formal process, and you treat getting money back to victims as part of your job rather than a downstream handoff." ], "hardSkillsList" : [ "blockchain / cryptocurrency tracing", "AI fluency" ], "softSkillsList" : [ "adaptability, collaboration, creative problem-solving, ownership, candor, humility" ], "hardSkills" : [ { "name" : "blockchain / cryptocurrency tracing", "level" : "intermediate" }, { "name" : "AI fluency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "adaptability, collaboration, creative problem-solving, ownership, candor, humility" } ], "majorSkills" : "blockchain tracing, asset recovery, investigative documentation, AI fluency", "majorSkillsList" : [ "blockchain tracing, asset recovery, investigative documentation, AI fluency" ], "coreResponsibilities" : "Validate high-priority blockchain leads, conduct forward and backward tracing, assess whether funds touch regulated platforms or other actionable endpoints, and produce clear investigative documentation that supports time-sensitive escalation and victim-centered recovery outcomes.", "teamCollaboration" : "High autonomy, high standards, low bureaucracy — work directly with engineering, analysts, legal counterparts, and partners who depend on the team’s output.", "toolProficiency" : [ "Slack, Notion" ], "communicationSkills" : "frequent, high-touch communication", "documentationSkills" : "investigative documentation; produce clear investigative documentation", "continuousLearning" : "Continuously learn new issues in crypto.", "innovationCreativity" : "Creative problem solving and out-of-the-box thinking.", "problemSolvingSkills" : "creative tactical thinking; assess whether funds touch regulated platforms; figure out the first move", "specialRequirements" : "Follow-the-sun rotation — the team runs investigators across NA, EMEA, and APAC for around-the-clock coverage. Distributed, async-first via Slack and Notion, with structured syncs for alignment. Surge availability expected during time-sensitive disruption windows.", "outcomesObjectives" : "Victim recovery is the goal.", "qualificationsBasic" : "3–5 years of cryptocurrency investigations or asset-recovery experience. Experience producing investigative packages that can support formal legal, compliance, or enforcement workflows. Creative tactical thinking — demonstrated ability to pivot from a single point to a network view, identifying operators behind operations.", "remoteFriendly" : true, "rawDescription" : "BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Scam Investigations team is TRM’s tip of the spear against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. The team operates an integrated workflow — from AI-supported complaint triage to time-sensitive investigation, escalation, and recovery support for victims. As a Global Investigator, you will work at the recovery-focused layer of scam investigation. You will validate high-priority blockchain leads, conduct forward and backward tracing, assess whether funds touch regulated platforms or other actionable endpoints, and produce clear investigative documentation that supports time-sensitive escalation and victim-centered recovery outcomes. The impact you will have here: - Validate time-sensitive blockchain signals and move high-confidence matters through the appropriate escalation workflow. Speed and accuracy both matter. - Trace victim funds end-to-end — forward to the wallets that consolidate them, backward to the platforms they came from. Your work feeds directly into the legal packages that recover them. - Own the recovery side. After a freeze, run the backtrace that ties frozen funds to specific victims and produce the documentation that drives restitution. The freeze is the start. Victim recovery is the goal. - Support time-sensitive asset-preservation workflows with regulated platforms and ecosystem partners. What we’re looking for: - 3–5 years of cryptocurrency investigations or asset-recovery experience — law enforcement crypto units, blockchain analytics firms, exchange compliance investigations, or equivalent. You understand how regulated platforms behave under request, including the difference between voluntary cooperation and formal process, and you treat getting money back to victims as part of your job rather than a downstream handoff. - You don’t need a checklist to start. Handed something you’ve never seen, you figure out the first move and take it. When the playbook stops, you keep going. - You think in outcomes, not lanes. If “that’s not what I was hired for” is a sentence you reach for, this isn’t the seat. - Experience producing investigative packages that can support formal legal, compliance, or enforcement workflows. - Creative tactical thinking — demonstrated ability to pivot from a single point to a network view, identifying operators behind operations. - Blockchain / cryptocurrency tracing (required, gating) — forward-then-backward trace, exchange attribution, co-mingling handling, multi-hop VASP tracing, and LIFO/FIFO backtrace for recovery work. Non-negotiable. - AI fluency (required) — you use AI tools in your workflow to synthesize returns, draft outputs, and accelerate analysis, with examples of how AI has impacted your work. About the team: - Follow-the-sun rotation — the team runs investigators across NA, EMEA, and APAC for around-the-clock coverage. - Distributed, async-first via Slack and Notion, with structured syncs for alignment. - High autonomy, high standards, low bureaucracy — work directly with engineering, analysts, legal counterparts, and partners who depend on the team’s output. Team operating rhythms: - Daily monitoring shift - Daily shift handoff call - Weekly team syncs - All output documented in Notion and TRM’s investigative tools - Surge availability expected during time-sensitive disruption windows Learn about TRM Speed in this position: - React timely to the movement of funds during an ongoing investigation. - Support other teams on time sensitive issues that might be unforeseen. - Continuously learn new issues in crypto. LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "Global Investigator - APAC at TRM Labs. Skills: blockchain tracing, asset recovery, investigative documentation, AI fluency. Validate high-priority blockchain leads, conduct forward and backward tracing, assess whether funds touch regulated platforms or other actionable endpoints, and produce clear investigative documentation that supports time-sensitive escalation and victim-centered recovery outcomes.", "createdAt" : "2026-06-14T21:41:54.449", "lastUpdated" : "2026-06-15T14:15:58.690", "ingestTimestamp" : "2026-06-14T21:41:54.449", "mongoId" : "6a2cafe274d8ee00a09d81cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "blockchain / cryptocurrency tracing", "AI fluency", "adaptability, collaboration, creative problem-solving, ownership, candor, humility", "blockchain tracing, asset recovery, investigative documentation, AI fluency", "cryptocurrency investigations or asset-recovery experience — law enforcement crypto units, blockchain analytics firms, exchange compliance investigations, or equivalent. You understand how regulated platforms behave under request, including the difference between voluntary cooperation and formal process, and you treat getting money back to victims as part of your job rather than a downstream handoff.", "Slack, Notion" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6aa574d8ee00a090d12e", "title" : "Helpers for In-Home Support", "company" : "Herewith Caregivers", "industry" : "Healthcare", "salary" : { "min" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herewith CG", "locations" : [ "Herewith CG" ], "timestamp" : "2026-06-16T04:27:41.656", "fingerprint" : "8b7a99a3cac074e60f0e7f550cec50cc4c4c1b3c5263f756e463e70bc0a91c75", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/herewithgmbh/jobs/8588650002", "externalId" : "8588650002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Scottsboro", "state" : "Alabama", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.6731323,-86.0338765" } ], "locationText" : "Scottsboro, Alabama, United States", "employmentType" : "PART_TIME", "coreResponsibilities" : "Provide safe transportation, Provide timely transportation, Assist with pick-up, Assist with drop-off, Offer basic support, Offer companionship, Ensure client's comfort, Ensure client's safety", "domainKnowledge" : "In-home support", "domainList" : [ "in-home-support" ], "domainSpecificKnowledge" : [ "In-home support" ], "specialRequirements" : "Physical lifting", "qualificationsBasic" : "Reliable vehicle, Valid driver's license, Clean driving record", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Location: Scottsboro, AL 35769 Start Date: June 22, 2026 Helper Rate: $15 per hour We are seeking a dependable helper/driver to assist a male client in his 60s with transportation to and from a doctor’s appointment. This is a straightforward, low-intensity assignment ideal for caregivers who offer transportation services. Care Responsibilities Provide safe and timely transportation Assist with pick-up and drop-off Offer basic support and companionship during the trip Ensure client’s comfort and safety Appointment Details Date: June 22, 2026 Time: Morning (exact time TBD) Pick-Up: Scottsboro, AL 35769 Destination: The Orthopaedic Center – Huntsville, AL Schedule 2 days per week initially 2:00 PM – 7:00 PM Days are flexible Opportunity to increase up to 5 days per week if it’s a good fit Ideal Candidate Must have a reliable vehicle Valid driver’s license with a clean driving record Punctual and professional Respectful and patient This role is perfect for helper seeking flexible, one-time assignments with potential for future transportation needs. Hiring info: We’re looking for private helpers/ caregivers for clients on Herewith, a free online platform that makes getting hired and paid as a private caregiver fast and easy. Here’s what we provide: ✔️ Free background checks for all applicants ✔️ A professional helper profile to apply for jobs easily ✔️ Real-time job notifications for opportunities in your area ✔️ Convenient mobile app (Helper: Jobs on Herewith) to manage your clients, hours, and payments Once your Herewith helpers profile is set up, you’ll receive instant notifications for new job postings and have the flexibility to apply with just one tap. Get started today and make a meaningful impact in your community! Learn more about Herewith at https://herewith.com/helpers.", "summaryDescription" : "Helpers for In-Home Support at Herewith Caregivers. Provide safe transportation. Provide timely transportation", "postedDate" : "2026-06-14T20:02:23.539", "createdAt" : "2026-06-14T20:02:23.539", "lastUpdated" : "2026-06-16T04:27:41.656", "ingestTimestamp" : "2026-06-14T20:02:23.539", "mongoId" : "6a2c6aa574d8ee00a090d12e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "In-home support" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe94ff4c40e2acd11219c3", "title" : "Applied Scientist II, Sponsored Products and Brands-Agent", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 172400.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:55:25.162", "fingerprint" : "7ad0ab23796aa2e82cc054ecf4362c263f771704655b3de969e0aff032ad13a4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414427/apply", "externalId" : "31bf1933-f742-480e-ad74-77c1c946969f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, R, SQL, AWS, SageMaker, PyTorch, TensorFlow, Spark, Machine Learning, Data Science", "professionalSkills" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Experiment design" ], "hardSkillsList" : [ "Machine learning algorithms", "Statistical modeling", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Algorithm Development", "majorSkillsList" : [ "Machine Learning", "Data Science", "Algorithm Development" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and maintain data pipelines, Conduct experiments to test hypotheses, Analyze large datasets, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Sponsored Products; Brands", "domainList" : [ "sponsored-products", "brands" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Brands" ], "toolProficiency" : [ "SageMaker", "PyTorch", "TensorFlow", "Spark" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Master's degree in Computer Science, Statistics, or related quantitative field, 3+ years of experience in data science or machine learning, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in Computer Science, Statistics, or related quantitative field, Experience with AWS SageMaker, Experience with PyTorch or TensorFlow, Experience with large-scale data processing frameworks (e.g., Spark)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About the team SPB Agent team's vision is to build a highly personalized and context-aware agentic advertiser guidance system that seamlessly integrates Large Language Models (LLMs) with sophisticated tooling, operating across all experiences. The SPB-Agent is the central agent that interfaces with advertisers across Ads Console, Selling Partner portals (Seller Central, KDP, Vendor Central), and internal Sales systems. We identify high-impact opportunities spanning from strategic product guidance to granular optimization and deliver them through personalized, scalable experiences grounded in state-of-the-art agent architectures, reasoning frameworks, sophisticated tool integration, and model customization approaches including fine-tuning, MCP, and preference optimization. This presents an exceptional opportunity to shape the future of e-commerce advertising through advanced AI technology at unprecedented scale, creating solutions that directly impact millions of advertisers. Basic Qualifications: - 3+ years of building models for business application experience - 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. 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, Palo Alto - 171,600.00 - 222,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist II, Sponsored Products and Brands-Agent at Amazon.com Services LLC. Skills: Machine Learning, Data Science, Algorithm Development. Design and implement machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-14T19:32:21.240", "createdAt" : "2026-06-14T19:32:21.240", "lastUpdated" : "2026-06-16T07:55:25.162", "ingestTimestamp" : "2026-06-14T19:32:21.240", "mongoId" : "69fe94ff4c40e2acd11219c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414427/apply", "salaryAnnualMin" : 172400, "salaryAnnualMax" : 223400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning algorithms", "Statistical modeling", "Data analysis", "Experimentation", "Machine Learning", "Data Science", "Algorithm Development", "Data modeling", "Algorithm development", "Statistical analysis", "Experiment design", "Sponsored Products", "Brands", "SageMaker", "PyTorch", "TensorFlow", "Spark" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30892ef292fd229c092f29", "title" : "FinCrime Investigator - AML Investigations", "company" : "Wise", "industry" : "Financial Services", "salary" : { "min" : 8300.0, "max" : 8300.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : false }, "location" : "São Paulo, BR", "locations" : [ "São Paulo", "BR" ], "certifications" : [ "CAMS", "CFCS", "ICA" ], "timestamp" : "2026-06-16T12:16:26.678", "fingerprint" : "917237bdc5f0bf12c8c2c6f86591a27586fa4995d20c465b7e2e2dababb16b8f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wise/744000132280258-fincrime-investigator-aml-investigations", "externalId" : "744000132280258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL", "professionalSkills" : [ "Risk appetite", "Financial crime", "AML/CTF regulations", "Transaction monitoring", "KYC information" ], "hardSkillsList" : [ "Data analysis", "Investigation techniques" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Investigation techniques", "level" : "intermediate" } ], "majorSkills" : "AML Investigations, Financial Crime", "majorSkillsList" : [ "AML Investigations", "Financial Crime" ], "coreResponsibilities" : "Conduct investigations of suspicious activity, Analyze financial transactions, Analyze customer behavior, Identify patterns of money laundering, Identify patterns of fraud, Identify patterns of financial crimes, Evaluate alerts from monitoring systems, Assess alerts from detection tools, Gather supporting documentation, Analyze supporting documentation, Review data, Interpret data, Identify potential risks, Support team decisions, Prepare investigation reports, Document findings, Document recommendations, Act as escalation point, Provide guidance, Provide expertise, Mentor team members, Train team members, Collaborate with product teams, Collaborate with engineering teams, Improve fraud detection rules, Improve detection processes, Improve system enhancements, Stay up-to-date on trends, Stay up-to-date on typologies, Stay up-to-date on regulatory changes, Communicate with internal stakeholders, Liaise with financial institutions, Liaise with law enforcement agencies, Participate in ad-hoc projects, Participate in initiatives, Maintain records of investigations, Maintain records of activities, Provide input on process improvements, Provide input on backlog exercises, Complete mandatory trainings, Complete refresher trainings, Complete ad hoc trainings, Communicate with customers, Obtain necessary details from customers, Obtain clarifications from customers, Achieve individual targets, Achieve team targets, Meet deadlines, Optimize processing times, Take full ownership, Take full accountability, Deliver exceptional results, Perform additional tasks, Participate in meetings, Participate in training, Participate in internal events", "teamCollaboration" : "Product teams; Engineering teams; Compliance teams; Legal teams; Customer support teams", "domainKnowledge" : "Financial crime; Money laundering; Fraud; AML/CTF regulations", "domainList" : [ "financial-crime", "money-laundering", "fraud", "aml-ctf-regulations" ], "domainSpecificKnowledge" : [ "Financial crime", "Money laundering", "Fraud", "AML/CTF regulations" ], "toolProficiency" : [ "Transaction monitoring systems" ], "communicationSkills" : "Clear communication; Concise communication; Accurate communication; Professional communication; Customer communication", "documentationSkills" : "Report writing; Documentation", "continuousLearning" : "Mandatory trainings; Refresher trainings; Ad hoc trainings", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Achieve individual targets; Achieve team targets; Meet deadlines reliably; Optimize processing times; Deliver exceptional results", "qualificationsBasic" : "2+ years operations experience, 2+ years compliance experience, 2+ years related field experience, Proven ability to conduct investigations, Proven ability to analyze data, Proven ability to draw conclusions, Exceptional analytical skills, Exceptional problem-solving skills, Excellent documentation skills, Ability to work autonomously, Ability to identify tasks independently, Ability to apply learned procedures, Ability to apply best practices, Ability to take initiative, Ability to resolve issues, Verbal communication skills in English, Written communication skills in English", "qualificationsPreferred" : "Bachelor's degree in Finance, Bachelor's degree in Business Administration, Bachelor's degree in Law, Bachelor's degree in Criminal Justice, Bachelor's degree in related field, Experience in financial services, Experience in compliance, Experience in FinCrime investigations, Relevant certifications, Experience working in global financial institution, Experience working in fintech company, Knowledge of SQL, Knowledge of data analysis tools, Additional languages are a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). As a FinCrime Operations Investigator, you will play a critical role in safeguarding Wise and its customers from financial crime. You will be responsible for investigating and analyzing customer accounts, transactions and activities on our platform to detect and prevent money laundering, fraud, and other illicit activities. You will leverage your expertise to identify suspicious patterns, conduct thorough investigations, and ensure compliance with AML/CTF regulations and internal policies and procedures, all while adhering to Wise’s risk appetite. This role offers a unique opportunity to deepen your expertise in the FinCrime domain, contribute to a rapidly growing global company, and make a tangible impact on protecting our users and the integrity of our platform. Job Responsibilities * Conduct in-depth investigations of potentially suspicious activity, utilizing both internal and external data sources. * Analyze complex financial transactions and customer behavior to identify patterns indicative of money laundering, fraud, or other financial crimes. * Evaluate and assess alerts generated by transaction monitoring systems and other detection tools. * Gather and analyze supporting documentation, including KYC information, transaction records, and other relevant data. * Review and interpret data to identify patterns and potential risks associated with financial crime. Support the team in making informed decisions based on data insights. * Prepare detailed and comprehensive investigation reports, documenting findings and recommendations. * Act as a point of escalation for complex FinCrime cases from other operations teams, providing guidance and expertise. * Mentor and train other team members on FinCrime investigation techniques and best practices. * Collaborate with product and engineering teams to improve fraud detection rules, processes, and system enhancements. * Stay up-to-date on emerging FinCrime trends, typologies, and regulatory changes. * Communicate effectively with internal stakeholders, including compliance, legal, and customer support teams. * Liaise with financial institutions and law enforcement agencies as needed. * Participate in ad-hoc projects and initiatives related to FinCrime prevention and detection. * Maintain accurate and complete records of all investigations and related activities. * Provide input on process improvements and backlog exercises. * Complete all company-assigned mandatory, refresher or ad hoc trainings on time and with diligence. * Customer Communication: Communicate clearly, professionally, and empathetically with customers via approved channels to obtain necessary details or clarifications for reviews, always upholding our high customer experience standards. A key part of this involves avoiding unnecessary customer contacts and preventing delayed case resolutions. All communication must be precisely tailored to ensure clarity and efficiency. * KPIs: Take a proactive approach to consistently achieve individual and team targets (KPIs, SLAs, QA), demonstrating a strong commitment to both quality and speed. This includes meeting deadlines reliably, optimizing processing times, and taking full ownership and accountability for all responsibilities to deliver exceptional results. * Other: Perform additional tasks as assigned by your lead, demonstrating adaptability and a proactive approach. This includes actively participating in meetings, training, and internal events to support broader team and company objectives. ## Qualifications * Strong verbal and written communication skills in English, with the ability to produce clear, concise, accurate, and professional reports, summaries, and customer communications. Additional languages are a plus. * 2+ years of experience in operations, compliance, or a related field, preferably with exposure to financial crime or AML processes. * Proven ability to conduct thorough and objective investigations, analyze complex data, and draw logical conclusions. * Exceptional analytical and problem-solving skills, with a keen attention to detail. * Excellent documentation skills, with the ability to present complex information clearly, concisely, and accurately for both internal and external use, ensuring all decisions are thoroughly supported. * Ability to work independently and make decisions within well-defined procedures. * Strong organizational skills with the ability to multitask, prioritize effectively, and manage time efficiently in challenging situations. * Willingness to work flexible hours, including shifts, weekends, and public holidays as needed. * Proactive attitude with a willingness to learn and develop in the financial crime domain. * Ability to work autonomously within established procedures and practices. Ability to work autonomously, proactively identifying and addressing tasks independently by applying learned procedures and best practices. This role requires taking initiative and effectively resolving issues within established frameworks. Nice to have: * Bachelor’s degree in Finance, Business Administration, Law, Criminal Justice, or a related field. * Experience in financial services, compliance, or a related field, with a focus on FinCrime investigations * Relevant certifications such as CAMS, CFCS, ICA, or equivalent. * Experience working in a global financial institution or fintech company. * Knowledge of SQL or other data analysis tools. ## Additional Information * Location: São Paulo, Brazil (Hybrid) * Compensation: 8300 BRL gross per month * Language Requirement: Please submit your resume in English. Resumes in Portuguese will not be considered. * Work Eligibility: Candidates must already be authorized to work in Brazil. We are unable to provide visa sponsorship or relocation packages for this role. * Remote Status: This is a hybrid role requiring office presence; it is not a fully remote position. * Benefits:[ Click here to see the benefits we offer!](https://www.google.com/search?q=link) Hiring Process: * Application (Resume + Cover Letter) * Test Assignment * Recruiter Screening * Final Interview For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/). Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).", "summaryDescription" : "FinCrime Investigator - AML Investigations at Wise. Skills: AML Investigations, Financial Crime. Conduct investigations of suspicious activity. Analyze financial transactions", "postedDate" : "2026-06-15T20:19:05.000", "createdAt" : "2026-06-16T01:42:41.189", "lastUpdated" : "2026-06-16T12:16:26.678", "ingestTimestamp" : "2026-06-16T01:42:41.189", "mongoId" : "6a30892ef292fd229c092f29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Investigation techniques", "AML Investigations", "Financial Crime", "Risk appetite", "Financial crime", "AML/CTF regulations", "Transaction monitoring", "KYC information", "Money laundering", "Fraud", "CAMS", "CFCS", "ICA", "Transaction monitoring systems" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a17309c58b93c861ed12f64", "title" : "Investigator - PDD Framingham", "company" : "Committee for Public Counsel Services", "industry" : "Legal", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigator role in Framingham, MA, adjusted for mid-seniority and the legal industry." }, "location" : "Massachusetts-Framingham", "locations" : [ "Massachusetts-Framingham", "Legal Services", "Committee for Pub Counsel Srvc, Full-time, Full-time" ], "timestamp" : "2026-06-16T01:27:42.188", "fingerprint" : "0e67e75d22029cdee787802e2dd78e6501ec99f4ae6e6e831930ef14bb33062a", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1086494", "externalId" : "1086494", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Framingham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2773177,-71.4165905" } ], "locationText" : "Framingham, Massachusetts, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "********************ALL APPLICANTS MUST APPLY DIRECTLY THROUGH THE CPCS iCIMS WEBSITE. IF YOU APPLY THROUGH MASS CAREERS AND DO NOT COMPLETE THE CPCS iCIMS APPLICATION, YOU WILL NOT BE CONSIDERED FOR THIS POSITION.  PLEASE USE THE FOLLOWING LINK TO APPLY (CUT AND PASTE INTO YOUR BROWSER IF THE EMBEDDED LINK DOES NOT WORK): https://careers-publiccounsel.icims.com/jobs/3100/investigator---pdd-framingham/job ******************** The Public Defender Division of Committee for Public Counsel Services, the Massachusetts public defender agency, is seeking an Investigator for the Framingham Office . Investigators conduct criminal defense investigations and aid in trial preparation for CPCS Trial Attorneys in District, and Superior Court cases in Middlesex County. Investigators are key members of the defense team who assist in developing defense strategies for indigent persons charged with criminal offenses by interviewing witnesses, documenting crime scenes, and later testifying in court. We fight for equal justice and human dignity by supporting our clients in achieving their legal and life goals. We zealously advocate for the rights of individuals and promote just public policy to protect the rights of all. Our Values Courage • Accountability • Respect •   Excellence DIVERSITY AND INCLUSION MISSION STATEMENT CPCS is committed to protecting the fundamental constitutional and human rights of our assigned clients through zealous advocacy, community-oriented defense, and the fullness of excellent legal representation. We are dedicated to building and maintaining strong professional relationships, while striving to accept, listen to and respect the diverse circumstances of each client, as we dedicate ourselves to meeting their individual needs. It is our CPCS mission to achieve these goals, and in furtherance thereof, we embrace and endorse diversity, equity and inclusion as our core values as we maintain a steadfast commitment to: (1) Ensure that CPCS management and staff members represent a broad range of human differences and experience; (2) Provide a work climate that is respectful and supports success; and (3) Promote the dignity and well-being of all staff members. CPCS leadership is responsible for ensuring equity, diversity, and inclusion. The ability to achieve these goals with any level of certainty is ultimately the responsibility of each member of the CPCS community. AGENCY OVERVIEW CPCS is the state agency in Massachusetts responsible for providing an attorney when the state or federal constitution or a state statute requires the appointment of an attorney for a person who cannot afford to retain one. The agency provides representation in criminal, delinquency, youthful offender, family regulation, guardianship, mental health, sexually dangerous person, and sex offender registry cases, as well as in appeals and post-conviction and post-judgment proceedings related to those matters. The clients we represent are diverse across every context imaginable and bring many unique cultural dimensions to the matters we address. This reality creates a critical need for CPCS staff to be culturally competent and able to work well with people of different races, ethnicities, genders and/or sexual orientation identities, abilities, and limited English proficiency, among other protected characteristics. OFFICE OVERVIEW The Public Defender Division Framingham Trial Office provides public defense services for Middlesex County. The PDD Framingham Trial Office is conveniently located in Framingham and is frequently referred to as Metro West, a subsection of Greater Boston. Home to sights of great interest such as the Callahan State Park, and the peaceful and serene Garden in the Woods, the city of Framingham, founded in the mid-1600’s, now enjoys a rich and diverse population, and is indeed, a growing and vibrant community. Please access the following link to discover more about the CPCS Public Defender Division Framingham Trial Office: http://www.publiccounsel.net/dir/framingham-dist-pd POSITION OVERVIEW Public Defender Investigators are key members of the defense team and are responsible for conducting criminal defense investigations and trial preparation for CPCS Trial Attorneys as well as assisting in developing defense strategy for indigent persons charged with criminal offenses in the District, and Superior courts in Middlesex County. Key responsibilities of Investigators are locating and interviewing persons, obtaining facts, inspecting records, writing reports, documenting crime scenes, searching databases and social media, summonsing witnesses to court, shepherding witnesses through the trial court process, and testifying in court. Investigators work under the direction of the Attorney-in-Charge, the Director of Investigations, and the Supervising Investigator and work collaboratively with other staff investigators, Attorneys-in-Charge, and CPCS Administration. RESPONSIBILITIES Locating and interviewing cooperative and, at times, uncooperative witnesses, alleged victims, and clients; Investigating crime scenes, commonly located in neighborhoods that have been designated as ‘high crime areas’ by local law enforcement agencies; Preparing and presenting oral and/or written reports based upon interviews and/or information obtained during the course of the investigation; Conducting surveillance; Measuring, diagramming, and photographing locations where crimes may have taken place and/or any location appropriate to the defense strategy; Utilizing computers for on-line access to the Registry of Motor Vehicles, public records, databases, social networking sites, and various online searches; Keeping accurate records of all phases of the investigation, and being accountable for all aspects of the investigation; Testifying in court as needed; Networking and maintaining personal contact with individuals in various agencies, including, but not limited to, police departments, courts, state agencies, private sector agencies, and others to facilitate access to information necessary to the defense of a case; Reviewing and analyzing police reports and witness statements; Maintaining open lines of communication with attorneys as to investigative updates and case strategy and meeting all deadlines associated with cases; Maintaining professional and productive relationships with attorneys; Evaluating individuals and factual situations to aid the attorney in preparing and presenting a defense to the criminal charges; Advising attorneys regarding changes and developments in investigative tools and techniques; Developing familiarity with Massachusetts criminal laws and rules of criminal procedure; Serving summonses on witnesses and document record keepers; Arranging timely appearance of witnesses at court by keeping them “on call” and when necessary providing transportation for clients and/or witnesses to court or other facilities; Preparing exhibits for trials and hearings; Ability to work independently and outside of normal business hours as needed; Participating in training programs for attorneys, as well as investigators; and, Other duties as assigned. MINIMUM ENTRANCE REQUIREMENTS Associate degree with coursework in criminal justice, forensics, law or related area of study; a minimum of three years of experience in criminal defense investigations or a related investigative field which primarily involves the interviewing of persons, obtaining facts, inspection of records and writing reports; or an equivalent combination of education, experience, and skills; Must possess a valid and active Massachusetts driver’s license and have full access to a dependable automobile; and, Access to home internet access sufficient to work remotely. A bachelor’s degree may be substituted for up to 2 years of investigatory experience. QUALIFICATIONS/SKILLS Experience with Microsoft Office, internet databases, online searches and databases, and camera and video equipment; Strong interpersonal skills and ability to communicate effectively, orally and in writing; Good analytical and time-management skills; Bilingual abilities preferred; and, Adjusting scheduled hours to work outside of regular business hours, e.g., on nights and weekends, is required with some regularity. Ability to be flexible due to unexpected and times sensitive issues requiring immediate attention is essential. The successful candidates will be subject to a background check including CORI and driving history reviews. EEO Statement The Committee for Public Counsel Services (CPCS) is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ethnicity, sex, disability, religion, age, veteran or military status, genetic information, gender identity, or sexual orientation as required by Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act of 1990, and other applicable federal and state statutes and organizational policies. Applicants who have questions about equal employment opportunity or who need reasonable accommodations can contact the Chief Human Resources Officer, Sandra DeBow-Huang, at sdebow@publiccounsel.net ********************ALL APPLICANTS MUST APPLY DIRECTLY THROUGH THE CPCS iCIMS WEBSITE. IF YOU APPLY THROUGH MASS CAREERS AND DO NOT COMPLETE THE CPCS iCIMS APPLICATION, YOU WILL NOT BE CONSIDERED FOR THIS POSITION.  PLEASE USE THE FOLLOWING LINK TO APPLY (CUT AND PASTE INTO YOUR BROWSER IF THE EMBEDDED LINK DOES NOT WORK): https://careers-publiccounsel.icims.com/jobs/3100/investigator---pdd-framingham/job ******************** Investigator - CJC", "summaryDescription" : "Investigator - PDD Framingham at Committee for Public Counsel Services", "createdAt" : "2026-06-14T20:49:19.816", "lastUpdated" : "2026-06-16T01:27:42.188", "ingestTimestamp" : "2026-06-14T20:49:19.816", "mongoId" : "6a17309c58b93c861ed12f64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16218d58b93c861e922ba1", "title" : "Remittance Fraud Investigator", "company" : "Mukuru", "industry" : "FinTech", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Remittance Fraud Investigator in Cape Town, South Africa, adjusted for the FinTech industry." }, "location" : "Cape Town, ZA", "locations" : [ "Cape Town", "ZA", "Johannesburg", "ZA", "Pretoria", "ZA" ], "timestamp" : "2026-06-16T04:02:17.494", "fingerprint" : "3e7e71183bc8f10da39016eb7ef060516d77da76a8ba96ebd39c9d61626425d8", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://mukuru.breezy.hr/p/dd99794a7ef8-remittance-fraud-investigator", "externalId" : "dd99794a7ef8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cape Town", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-33.9288301,18.4172197" } ], "locationText" : "Cape Town, Western Cape, South Africa", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Investigate fraud patterns, Protect customers from fraud, Ensure safe money movement", "rawDescription" : "Protecting our customers. 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Protect customers from fraud", "createdAt" : "2026-06-14T20:28:30.009", "lastUpdated" : "2026-06-16T04:02:17.494", "ingestTimestamp" : "2026-06-14T20:28:30.009", "mongoId" : "6a16218d58b93c861e922ba1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4962beec4dd3d931913", "title" : "Applied Science Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 183800.0, "max" : 248700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:12:32.742", "fingerprint" : "2813b7088bf9ddc16d6ae80d87886ea77ec3e51c99e1e27ea13f6612f026c856", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385329/apply", "externalId" : "c8e636df-eba0-4a67-be18-2f67f6c85473", "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" : "Master's", "experienceMinYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "ML, NLP, Information Retrieval, Java, C++, Python, Deep learning, Machine learning, Computer vision, GenAI, Large language models", "professionalSkills" : [ "Applied research", "Science roadmap", "Product strategy", "Business impact" ], "hardSkillsList" : [ "Prompt generation", "Quality frameworks", "Coverage expansion", "Prompt effectiveness", "CTR improvement", "Helpfulness improvement" ], "hardSkills" : [ { "name" : "Prompt generation", "level" : "intermediate" }, { "name" : "Quality frameworks", "level" : "intermediate" }, { "name" : "Coverage expansion", "level" : "intermediate" }, { "name" : "Prompt effectiveness", "level" : "intermediate" }, { "name" : "CTR improvement", "level" : "intermediate" }, { "name" : "Helpfulness improvement", "level" : "intermediate" } ], "majorSkills" : "NLP, LLMs, Information Retrieval, Applied Science Management", "majorSkillsList" : [ "NLP", "LLMs", "Information Retrieval", "Applied Science Management" ], "coreResponsibilities" : "Lead team of scientists and engineers, Build and scale prompt generation pipeline, Develop new prompt themes, Develop quality frameworks, Drive coverage expansion, Own science roadmap, Define metrics for prompt effectiveness, Drive experimentation to improve CTR, Drive experimentation to improve helpfulness, Drive experimentation to improve advertiser outcomes, Manage and grow science team, Set research direction, Influence product strategy, Translate science investments into business impact", "teamCollaboration" : "Across organizational boundaries; With engineering teams; With product teams; With business teams", "domainKnowledge" : "Conversational Discovery Experiences; Sponsored Prompts; Large language models", "domainList" : [ "conversational-discovery-experiences", "sponsored-prompts", "large-language-models" ], "domainSpecificKnowledge" : [ "Conversational Discovery Experiences", "Sponsored Prompts", "Large language models" ], "innovationCreativity" : "Re-imagining advertising landscape; Generative AI technologies; Re-inventing advertising experiences; Bridging human creativity with AI; Transforming advertising lifecycle; Developing responsible AI technologies", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Improve CTR; Improve helpfulness; Improve advertiser outcomes", "qualificationsBasic" : "4+ years applied research, 3+ years management experience, 3+ years ML models business application, Master's degree and 6+ years research, Knowledge of ML, NLP, IR, Programming in Java, C++, Python", "qualificationsPreferred" : "Experience building complex software systems, Experience with deep learning, Experience with machine learning, Experience with computer vision, Experience with Data & AI technologies, Experience with GenAI, Experience with Analytics, Experience with Database, Experience with Storage", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities We are looking for an Applied Science Manager to lead the Insights & Prompt Generation vertical within the Conversational Discovery Experiences (CAX) team in Sponsored Products and Brands (SPB). This team owns prompt generation, quality, personalization, and coverage for Sponsored Prompts, a new conversational ad format powered by large language models (LLMs) that helps shoppers discover products across Amazon.com. As an Applied Science Manager, you will lead a team of applied scientists and engineers to build and scale the prompt generation pipeline, develop new prompt themes and quality frameworks, and drive coverage expansion across all surfaces. You will own the science roadmap for prompt generation and personalization. You will define the metrics that measure prompt effectiveness and drive experimentation to improve CTR, helpfulness, and advertiser outcomes. This role requires strong technical depth in NLP, LLMs, and information retrieval, combined with the ability to manage and grow a science team, set research direction, and influence product strategy. You will work across organizational boundaries with engineering, product, and business teams to translate science investments into measurable business impact. Basic Qualifications: - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually", "summaryDescription" : "Applied Science Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: NLP, LLMs, Information Retrieval, Applied Science Management. Lead team of scientists and engineers. 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Agent-to-agent communication; Agent-to-service interactions", "domainKnowledge" : "Generative AI; Large Language Models; Advertising ecosystem; Agentic systems; AI governance; AI safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-ecosystem", "agentic-systems", "ai-governance", "ai-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "innovationCreativity" : "Pioneer new approaches; Creative problem-solver", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure experiences; Drive business impact", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in Computer Science, Shipped Gen AI features at scale, Deep understanding AI trust safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations 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.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Advertising technology. Design Agentic service platform. 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Agent-to-agent communication; Agent-to-service interactions", "projectManagementSkills" : [ "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations" ], "domainKnowledge" : "Generative AI; Large Language Models; Advertising landscape; AI technologies; Agentic experiences; Distributed systems; Cloud technologies; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-landscape", "ai-technologies", "agentic-experiences", "distributed-systems", "cloud-technologies", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising landscape", "AI technologies", "Agentic experiences", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative problem-solver; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, Experience programming one language, 3+ years full SDLC experience", "qualificationsPreferred" : "Shipped Gen AI features at scale, Deep understanding AI trust/safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations 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.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Agentic experiences. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T15:59:07.813", "createdAt" : "2026-06-13T15:59:07.813", "lastUpdated" : "2026-06-15T05:51:39.895", "ingestTimestamp" : "2026-06-13T15:59:07.813", "mongoId" : "68e6b1d770f0b99d58d66963", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103803/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Conversational AI", "Natural language interactions", "Data processing", "Agentic service platform", "Analytical", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Agentic experiences", "System design", "Architecture", "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations", "Advertising landscape", "AI technologies", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69c94a839bc74574cbbb4d31", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 80000.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:36:20.649", "fingerprint" : "6d689a5c54a8a7117f61e47482b75a6168422f52f743bd77abc6d14df7708e10", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199927/apply", "externalId" : "ff5bd593-2dfd-4ddf-bb23-c0fd02ce558e", "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", "technicalSkills" : "Java, C++, Python, Perl, Machine learning, Deep learning, LLM", "professionalSkills" : [ "Machine learning engineering", "Business problems", "Model inference" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Deep learning, LLM systems", "majorSkillsList" : [ "Machine learning", "Deep learning", "LLM systems" ], "coreResponsibilities" : "Develop machine learning models, Develop optimization strategies, Conduct research on machine learning modeling, Optimize Sponsored Products business, Enhance scalability of training systems, Enhance automation of training systems, Enhance efficiency of training systems, Enhance scalability of inference systems, Enhance automation of inference systems, Enhance efficiency of inference systems, Pioneer model inference infrastructure development, Support machine learning workloads, Work with MLEs, Work with SDEs, Deliver production ready solutions, Assist with system operations", "teamCollaboration" : "Team of engineers and scientists", "domainKnowledge" : "Sponsored Products; Advertising landscape; Generative AI; Customer experience; High-scale machine learning", "domainList" : [ "sponsored-products", "advertising-landscape", "generative-ai", "customer-experience", "high-scale-machine-learning" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Advertising landscape", "Generative AI", "Customer experience", "High-scale machine learning" ], "innovationCreativity" : "Innovate at the intersection; Pushing boundaries", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years building models, PhD or Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development, Knowledge of C/C++, Python, Java or Perl", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Key job responsibilities As an Applied Scientist, you will: * Develop scalable and effective machine learning models and optimization strategies to solve business problems. * Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business. * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of model inference infrastructure to support next-generation machine learning workloads at Amazon Ads scale. * Work closely with MLEs and SDEs to deliver production ready solutions and assist with system operations. Basic Qualifications: - 3+ years of building models for business application experience - 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 - Knowledge of programming languages such as C/C++, Python, Java or Perl Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine learning, Deep learning, LLM systems. Develop machine learning models. Develop optimization strategies", "postedDate" : "2026-06-13T02:24:03.864", "createdAt" : "2026-06-13T02:24:03.864", "lastUpdated" : "2026-06-15T01:36:20.649", "ingestTimestamp" : "2026-06-13T02:24:03.864", "mongoId" : "69c94a839bc74574cbbb4d31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199927/apply", "salaryAnnualMin" : 80000, "salaryAnnualMax" : 193200, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Machine learning", "Deep learning", "LLM systems", "Machine learning engineering", "Business problems", "Model inference", "Sponsored Products", "Advertising landscape", "Generative AI", "Customer experience", "High-scale machine learning" ], "skillCount" : 19, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69e104422beec4dd3def288c", "title" : "Senior Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 183800.0, "max" : 248700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T08:06:13.627", "fingerprint" : "a7a4b4df08e69f3e1b9aa2f22352024c743b4739464b7cfa7e2f475f1d743d7c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385948/apply", "externalId" : "79947a54-7c5e-4f6e-9b74-bc3b15493eae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Senior Applied Scientist on our team, you will * Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns. * You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives. * You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones. * Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses; * Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Translate complex scientific challenges into clear and impactful solutions for business stakeholders. * Mentor and guide junior scientists, fostering a collaborative and high-performing team culture. * Stay up-to-date with advancements and the latest modeling techniques in the field About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC", "postedDate" : "2026-06-13T19:04:25.307", "createdAt" : "2026-06-13T19:04:25.307", "lastUpdated" : "2026-06-15T08:06:13.627", "ingestTimestamp" : "2026-06-13T19:04:25.307", "mongoId" : "69e104422beec4dd3def288c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385948/apply", "salaryAnnualMin" : 183800, "salaryAnnualMax" : 248700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fda4e34c40e2acd1b9974a", "title" : "Principal Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 228700.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T06:34:06.169", "fingerprint" : "e48365b86c403c615a246893e6332d35e97417f8226f9370a866d50001d31b19", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413683/apply", "externalId" : "486289d8-494c-400a-8e28-f2291fbb0c9e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, GenAI, LLM, Analytics, Database, Storage", "professionalSkills" : [ "Product sense", "Science vision", "Execution" ], "hardSkillsList" : [ "ML", "LLM", "GenAI models" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" }, { "name" : "LLM", "level" : "intermediate" }, { "name" : "GenAI models", "level" : "intermediate" } ], "majorSkills" : "Gen AI, Applied Science, Product Development", "majorSkillsList" : [ "Gen AI", "Applied Science", "Product Development" ], "coreResponsibilities" : "Manage projects at all stages, Tackle challenging problems, Coordinate high profile projects, Ensure customer and business goals are met, Interface across product, science, and engineering teams, Drive mechanisms for team efficiency, Operate with high degree of autonomy, Prioritize projects and features, Plan projects and features, Manage partners, Track external commitments, Recommend alternative technical approaches, Partner with product, science, and engineering teams, Meet timelines, Role model use of GenAI, Design Gen AI solutions, Implement Gen AI solutions, Create effective ad campaigns, Improve overall experience", "teamCollaboration" : "Cross functional teams; Ads and Retail organizations", "projectManagementSkills" : [ "Project management", "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Generative AI; Advertising landscape; Brand advertising", "domainList" : [ "generative-ai", "advertising-landscape", "brand-advertising" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Brand advertising" ], "innovationCreativity" : "Invent new product experiences", "qualificationsBasic" : "PhD in Electrical Engineering, Computer Science, Mathematics, or related technical field, 7+ years working with Data & AI technologies, 7+ years designing or architecting systems, 7+ years working directly with engineering teams, 7+ years technical product or program management experience", "qualificationsPreferred" : "8+ years hands-on managing complex technology projects, Experience managing projects across cross functional teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Sponsored Brands team at Amazon is building the next generation of brand advertising products and platforms for advertisers using Gen AI. This role presents an opportunity to join us at the ground floor of this transformation, which is a core part of Amazon's overall business strategy. You will be the Gen AI applied science leader that will determine what products and ads show up in the most critical ad placements across Amazon. You'll have opportunities to deliver at the highest technical level, working with science, product, engineering, and UX, all directly connected to a marketplace of supply and demand. In this highly visible role, you'll collaborate across multiple stakeholders within Ads and Retail. We are seeking a Gen AI Applied Science inventor who has strong product sense, with a proven track record with hands on science vision and execution while building high impact products from the ground up. you will have the opportunity to apply your deep subject matter expertise in the area of ML, LLM and GenAI models. You will invent new product experiences that enable novel advertiser and shopper experiences. This role will work on bringing state-of-the-art GenAI models to production. You will define the long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists and engineers. Key job responsibilities You will play a pivotal role in managing projects at all stages: inception, design, development, deployment and subsequent improvements. You will tackle challenging problems and coordinate high profile projects across multiple teams to ensure customer and business goals are met. You will interface across product, science, and engineering teams within the advertising and retail organizations. You will drive mechanisms that allow the team to move quickly and deliver strong results. You will operate with a high degree of autonomy and efficiency. You'll be responsible for project management - prioritize, plan projects and features, manage partners, and track external commitments. You will recommend alternative technical approaches and partner with product, science, and engineering teams to meet timelines. You will actively role model the use of GenAI to make the team more efficient. About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit. Basic Qualifications: - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - 7+ years of working directly with engineering teams experience - 7+ years of technical product or program management experience - Experience owning/driving roadmap strategy and definition Preferred Qualifications: - 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules 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, Palo Alto - 228,700.00 - 309,400.00 USD annually USA, NY, New York - 218,800.00 - 295,900.00 USD annually USA, WA, SEATTLE - 198,900.00 - 269,000.00 USD annually", "summaryDescription" : "Principal Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Gen AI, Applied Science, Product Development. Manage projects at all stages. Tackle challenging problems", "postedDate" : "2026-06-13T15:11:57.473", "createdAt" : "2026-06-13T15:11:57.473", "lastUpdated" : "2026-06-15T06:34:06.169", "ingestTimestamp" : "2026-06-13T15:11:57.473", "mongoId" : "69fda4e34c40e2acd1b9974a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413683/apply", "salaryAnnualMin" : 228700, "salaryAnnualMax" : 309400, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "ML", "LLM", "GenAI models", "Gen AI", "Applied Science", "Product Development", "Product sense", "Science vision", "Execution", "Project management", "Roadmap strategy", "Roadmap definition", "Generative AI", "Advertising landscape", "Brand advertising" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a307fa4f292fd229c05ba87", "title" : "Principal Investigator MD/DO", "company" : "Headlands Research", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-16T11:51:09.334", "fingerprint" : "e89683df9995ea6dc7fdbaa1a207514301d4f0d7f87cc9c8fe4874decd691b0a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/headlandsresearch/jobs/4283848009", "externalId" : "4283848009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "remoteFriendly" : false, "rawDescription" : "At Headlands Research, we are dedicated to enhancing clinical trial delivery within our communities. As a leading network of advanced clinical trial sites, we leverage cutting-edge technology and exceptional support services to broaden outreach and participation. Founded in 2018, our rapidly growing company currently operates 20+ sites across the US and Canada, with plans for further expansion. Join Us in Improving Lives through Clinical Research At Headlands Research, we're not just building a clinical trial network; we are working to bring clinical trials to underserved communities and treatments to market. Picture this: an exceptional family of next-generation clinical trial sites, where cutting-edge technology meets unparalleled support services, and participant engagement reaches new heights. Established in 2018, we've rapidly grown to operate 20+ clinical trial sites across the US and Canada, with ambitious plans for expansion on the horizon. Championing Diversity in Clinical Trials Diversity isn't just a checkbox for us—it's central to our mission. We're committed to advancing medical science by promoting diversity in every facet of clinical trial research. From our team composition to participant demographics, inclusivity is at the heart of everything we do. The Role of a Lifetime Are you ready to make a difference? We're seeking an experienced physician to help us grow our clinical research site at Artemis Institute for Clinical Research in San Diego, CA. Why Join Us? Flexible Schedule: Work on your terms, with a schedule that fits your life. Dynamic Team Environment: You'll help Headlands Research continue to build a diverse and talented team of clinical research coordinators, research assistants, physicians, advanced providers, and patient recruitment specialists. With ample support and a culture of collaboration, you'll thrive in an environment where your contributions truly make a difference. A high level of professionalism is a key differentiator at Headlands. Responsibilities: Lead and oversee clinical trials conducted at Headlands Research sites, ensuring compliance with protocol requirements, regulatory standards, and ethical guidelines. Provide leadership and mentorship to site staff, fostering a culture of inclusivity, diversity, and professionalism within the research team. Participate in investigator meetings and educational initiatives to stay updated on advancements in clinical research and diversity initiatives. Obtain IRB approval for study initiation and any protocol modifications. Oversee subject safety, trial conduct compliance, and the informed consent process. Communicate effectively with stakeholders including sponsors, monitors, regulators, and research network leadership. Provide ongoing training and support to research staff. Requirements: Previous experience as a Principal Investigator or Sub-Investigator for clinical research trials a huge plus, but willing to consider those without. Eligible for or active unencumbered license to practice as an MD or DO within the state of [[California]] required Must be board-certified or board-eligible. Excellent communication and leadership skills, with the ability to collaborate effectively with sponsors, research teams, and external stakeholders. Familiarity with regulatory requirements, Good Clinical Practice (GCP) guidelines, and industry best practices in clinical research. Strong organizational skills and attention to detail, with the ability to manage multiple projects simultaneously in a fast-paced environment. California Pay Range $100—$150 USD Headlands Research will never ask a candidate for personal identifiable information (date of birth, social security number, driver’s license information, etc) via email or messenger tools, or for a financial deposit of any kind. Headlands Research is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Need Assistance? Headlands Research is committed to providing access and reasonable accommodation in its employment for individuals with disabilities. To request disability accommodation in the application process, contact recruiting@headlandsresearch.com for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.", "summaryDescription" : "Principal Investigator MD/DO at Headlands Research", "postedDate" : "2026-06-16T01:19:27.292", "createdAt" : "2026-06-16T01:19:27.292", "lastUpdated" : "2026-06-16T11:51:09.334", "ingestTimestamp" : "2026-06-16T01:19:27.292", "mongoId" : "6a307fa4f292fd229c05ba87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafe274d8ee00a09d81d5", "title" : "All Source Investigator", "company" : "TRM Labs", "industry" : "R&D", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level All Source Investigator in the Technology industry in the United States, adjusted for company size and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T09:03:25.355", "fingerprint" : "1b6208e8fd67c5dc133a0e71d5690417e2a827ba45f656049d51c81343f09618", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/trm-labs/c73b68b0-aeb7-49ff-a42c-4fa32236b6b0/application", "externalId" : "c73b68b0-aeb7-49ff-a42c-4fa32236b6b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AI", "professionalSkills" : [ "Targeting", "Intelligence analysis", "Link analysis", "Pattern analysis" ], "hardSkillsList" : [ "On-chain attribution", "Off-chain telemetry", "OSINT analysis", "Commercial data analysis" ], "hardSkills" : [ { "name" : "On-chain attribution", "level" : "intermediate" }, { "name" : "Off-chain telemetry", "level" : "intermediate" }, { "name" : "OSINT analysis", "level" : "intermediate" }, { "name" : "Commercial data analysis", "level" : "intermediate" } ], "majorSkills" : "All-source investigation, Legal process, AI tools", "majorSkillsList" : [ "All-source investigation", "Legal process", "AI tools" ], "coreResponsibilities" : "Lead targeting-driven investigative work, Take legal process to the ground, Follow the data, Deliver actionable intelligence, Operate intelligence flywheel daily, Fuse on-chain and off-chain data, Build operational pictures, Run legal process end-to-end, Convert returns into intelligence, Trace scam compounds geographically, Trace scam compounds operationally, Combine attribution with telemetry, Identify operators, Identify controllers, Identify movement patterns, Process returns at high volume, Feed victim data, Feed operator data, Find the seams, Pivot from victim to operation, Multiply leads, Partner with Threat Intelligence Analyst, Partner with All-Source Lead, Translate strategy into packages, Influence federal investigations", "teamCollaboration" : "Partner with Threat Intelligence Analyst; Partner with All-Source Lead; Work with analysts; Work with engineers; Work with customers", "domainKnowledge" : "Pig butchering syndicates; Romance fraud networks; Investment scam operations; On-chain data; Off-chain telemetry; OSINT; Crypto", "domainList" : [ "pig-butchering-syndicates", "romance-fraud-networks", "investment-scam-operations", "on-chain-data", "off-chain-telemetry", "osint", "crypto" ], "domainSpecificKnowledge" : [ "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "On-chain data", "Off-chain telemetry", "OSINT", "Crypto" ], "communicationSkills" : "Written communication; Memos; Attribution write-ups; Federal-style leads", "problemSolvingSkills" : "Creative tactical thinking; Link analysis; Pattern analysis", "specialRequirements" : "US Citizenship required, Located in the US", "outcomesObjectives" : "Dismantle scam operations; Deliver actionable intelligence; Generate defensible target packages", "qualificationsBasic" : "3 to 5 years investigative experience, Federal law enforcement experience, Intelligence Community analysis experience, Legal process expertise, Drafted and worked legal process returns, Creative tactical thinking, Link and pattern analysis fluency, Written communication skills, AI fluency", "qualificationsPreferred" : "Crypto experience", "remoteFriendly" : true, "rawDescription" : "BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. ABOUT THE ROLE The Scam Disruption team is TRM's tip of the spear against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. As an All-Source Investigator, you’ll lead targeting-driven investigative work: taking legal process to the ground, following the data wherever it leads, and delivering actionable intelligence to law enforcement partners. You will operate the \"intelligence flywheel\" daily — fusing on-chain and off-chain data to build operational pictures that help dismantle scam operations. THE IMPACT YOU WILL HAVE - Run legal process end-to-end against scam infrastructure and convert returns into targeting-ready intelligence for TRM’s teams and law enforcement partners - Trace scam compounds geographically and operationally — combining on-chain attribution with off-chain telemetry, OSINT, and commercially available data to identify operators, controllers, and movement patterns - Work the intelligence flywheel operationally — processing returns at high volume and feeding victim and operator data into TRM's intelligence and product pipelines - Find the seams — pivot from a single victim into uncovering the operation and multiplying leads - Partner with the Threat Intelligence Analyst (Scams Expert) and the All-Source Lead to translate disruption strategy into targeting packages that influence federal investigations WHAT WE'RE LOOKING FOR - 3 to 5 years of all-source investigative or targeting experience — federal law enforcement (former 1811s — e.g., FBI, HSI, IRS-CI, Secret Service), Intelligence Community all-source analysis, or mission-aligned private sector equivalent - Legal process expertise — you have personally drafted and worked returns from US legal process and know how to operationalize the data - Creative tactical thinking — demonstrated ability to pivot from a single point to a network view, identifying operators behind operations - Link and pattern analysis fluency — ability to correlate disparate data sources to generate defensible target packages - Strong written communication — skilled at writing memos, attribution write-ups, and federal-style leads that are actionable - AI fluency (required) — you use AI tools in your workflow, synthesizing returns, drafting outputs, and accelerating analysis, with examples of how AI has impacted your work - Crypto experience is a plus, not a requirement — we teach on-chain tradecraft; we cannot teach the targeter's instinct - US Citizenship required - Must be located in the US ABOUT THE TEAM - The Scam Disruption team operates within TRM’s Blockchain Intelligence organization, alongside threat intelligence analysts, on-chain investigators, and federal partners - All-Source Investigators are the operational core, converting strategy and tooling into prosecutable, actionable intelligence - Distributed team with an async-first approach via Slack and Notion, plus structured syncs for alignment - High autonomy, high standards, low bureaucracy — work directly with analysts, engineers, and customers who depend on your output TEAM OPERATING RHYTHMS - Weekly team syncs to align targeting priorities and review disruption opportunities - Daily async standups via Slack on active work, returns, and target packages in flight - Primary time zone overlap: US Eastern / Central - All output documented in Notion and TRM’s investigative tools - Surge availability expected during time-sensitive disruption windows JOIN OUR MISSION We seek people whose work matters, who build with speed and rigor, and who take pride in protecting others through their craft. If you’re excited by TRM’s mission but don’t check every box, apply anyway. Build to protect civilization. Let’s do it together. LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like AI FLUENCY AT TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. LEADERSHIP PRINCIPLES We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. JOIN OUR MISSION At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. PRIVACY POLICY AND ADDITIONAL INFORMATION By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy. We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM. Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law. If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog. RECRUITMENT AGENCIES TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq", "summaryDescription" : "All Source Investigator at TRM Labs. Skills: All-source investigation, Legal process, AI tools. Lead targeting-driven investigative work. Take legal process to the ground", "createdAt" : "2026-06-14T04:41:03.234", "lastUpdated" : "2026-06-15T09:03:25.355", "ingestTimestamp" : "2026-06-14T04:41:03.234", "mongoId" : "6a2cafe274d8ee00a09d81d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "On-chain attribution", "Off-chain telemetry", "OSINT analysis", "Commercial data analysis", "All-source investigation", "Legal process", "AI tools", "Targeting", "Intelligence analysis", "Link analysis", "Pattern analysis", "Pig butchering syndicates", "Romance fraud networks", "Investment scam operations", "On-chain data", "OSINT", "Crypto" ], "skillCount" : 17, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69164da470f0b99d586f3162", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:25:10.237", "fingerprint" : "d13b775018a4c1b090e0afa7f442843b973be39bb85965cc38f26e0e9418e103", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122617/apply", "externalId" : "4df7e358-44a5-4a64-9e9b-6ab3ace7bee6", "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", "technicalSkills" : "Java, C++, Python, Generative AI", "professionalSkills" : [ "Science leadership", "Organizational ability", "Technical strength", "Product focus", "Business understanding" ], "hardSkillsList" : [ "Data analysis", "Model development", "A/B testing", "Generative models" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Generative models", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model development, Advertising technology", "majorSkillsList" : [ "Generative AI", "Model development", "Advertising technology" ], "coreResponsibilities" : "Develop AI solutions, Build monetization systems, Build optimization systems, Leverage generative models, Value campaign performance, Improve campaign performance, Define science vision, Define science roadmap, Translate direction into plans, Design experiments, Conduct experiments, Evaluate proposed solutions, Communicate technical ideas, Communicate non-technical ideas, Stay up-to-date with advancements, Stay up-to-date with modeling techniques, Think big about Gen AI, Identify new opportunities, Apply technologies to solve problems", "teamCollaboration" : "Communicate with teammates", "domainKnowledge" : "Digital advertising; Generative AI", "domainList" : [ "digital-advertising", "generative-ai" ], "domainSpecificKnowledge" : [ "Digital advertising", "Generative AI" ], "communicationSkills" : "Technical communication; Non-technical communication", "continuousLearning" : "Stay up-to-date with advancements", "innovationCreativity" : "Innovative AI solution development", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, PhD, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience in algorithms, Experience in data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing, 3+ years in digital advertising technology", "qualificationsPreferred" : "Demonstrated track record of innovative AI solution development, Experience with generative model architectures, Research publications in generative AI, Patents in generative AI technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About Our Team: The Sponsored Brands Impressions-based Offerings team is responsible for evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale, helping brands get discovered, acquire new customers and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility and share of voice. This includes building advertiser controls, shopper experiences, monetization strategies and optimization features. We succeed when (1) shoppers discover, engage and build affinity with brands and (2) brands can grow their business at scale with our advertising products. About This Role: As an Applied Scientist on our team, you will: * Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance. * Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses. * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Stay up-to-date with advancements and the latest modeling techniques in the field. * Think big about the arc of development of Gen AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems. #GenAI Basic Qualifications: - 3+ years of building models for business application experience - 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 - 3+ years in digital advertising technology. Preferred Qualifications: - Demonstrated track record of innovative AI solution development. - Experience with generative model architectures. - Research publications or patents in generative AI technologies. 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, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Model development, Advertising technology. Develop AI solutions. Build monetization systems", "postedDate" : "2026-06-12T23:40:34.531", "createdAt" : "2026-06-12T23:40:34.531", "lastUpdated" : "2026-06-15T02:25:10.237", "ingestTimestamp" : "2026-06-12T23:40:34.531", "mongoId" : "69164da470f0b99d586f3162", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122617/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Model development", "A/B testing", "Generative models", "Generative AI", "Advertising technology", "Science leadership", "Organizational ability", "Technical strength", "Product focus", "Business understanding", "Digital advertising" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69dde45b2beec4dd3d9a3f1d", "title" : "Staff Scientist - Analytical Pharmacology Core Facility for Pharmacokinetic (PK), Pharmacodynamic (PD), and Biomarker Studies", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Staff Scientist in Duarte, CA, adjusted for the biotech industry and mid-level experience." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T05:07:32.825", "fingerprint" : "a466fd58fc991050855364f650e90b3c762d561eb0e0b106a3ea0f7085d74c49", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=223704", "externalId" : "223704", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 8, "experienceLevel" : "Mid", "technicalSkills" : "LC-MS/MS, ICP-MS, MassLynx, Analyst", "professionalSkills" : [ "Analytical chemistry", "Quantitative analysis", "Method validation", "Data interpretation", "Troubleshooting" ], "hardSkillsList" : [ "Bioanalysis", "Small molecule analysis", "Biomarker quantification", "Assay performance", "Instrument maintenance" ], "hardSkills" : [ { "name" : "Bioanalysis", "level" : "intermediate" }, { "name" : "Small molecule analysis", "level" : "intermediate" }, { "name" : "Biomarker quantification", "level" : "intermediate" }, { "name" : "Assay performance", "level" : "intermediate" }, { "name" : "Instrument maintenance", "level" : "intermediate" } ], "majorSkills" : "LC-MS/MS method development, Bioanalytical sample analysis, Instrument troubleshooting", "majorSkillsList" : [ "LC-MS/MS method development", "Bioanalytical sample analysis", "Instrument troubleshooting" ], "coreResponsibilities" : "Develop LC-MS/MS methods, Optimize LC-MS/MS methods, Validate LC-MS/MS methods, Apply LC-MS/MS methods, Perform bioanalytical sample analysis, Troubleshoot assay performance, Troubleshoot sample preparation, Troubleshoot instrument issues, Operate LC-MS/MS systems, Maintain LC-MS/MS systems, Troubleshoot LC-MS/MS systems, Analyze bioanalytical data, Interpret bioanalytical data, Maintain documentation, Adhere to GxP principles, Communicate results, Communicate technical issues, Communicate study progress, Prepare technical reports, Support laboratory investigations, Identify deviations, Perform root cause analysis, Implement corrective actions, Support workflow improvement, Support assay robustness, Support data quality, Maintain laboratory environment", "teamCollaboration" : "Collaborate with investigators; Collaborate with collaborators", "domainKnowledge" : "Pharmacokinetics (PK); Pharmacodynamics (PD); Biomarker studies; Bioanalytical workflows; GxP principles", "domainList" : [ "pharmacokinetics-pk", "pharmacodynamics-pd", "biomarker-studies", "bioanalytical-workflows", "gxp-principles" ], "domainSpecificKnowledge" : [ "Pharmacokinetics (PK)", "Pharmacodynamics (PD)", "Biomarker studies", "Bioanalytical workflows", "GxP principles" ], "toolProficiency" : [ "MassLynx", "Analyst" ], "communicationSkills" : "Communicate results; Communicate technical issues; Communicate study progress; Prepare technical reports", "documentationSkills" : "Maintain documentation; Document experimental procedures; Document data; Document results", "problemSolvingSkills" : "Troubleshoot assay performance; Troubleshoot sample preparation; Troubleshoot instrument issues; Root cause analysis", "qualificationsBasic" : "B. S. with 5–8 years experience, M. S. with 3–5 years experience, Ph. D. with 0–3 years experience, Hands-on LC-MS/MS bioanalysis, Method development experience, Quantitative analysis experience, Sample preparation techniques, GxP practices familiarity", "qualificationsPreferred" : "Experience with Waters LC-MS/MS, Experience with AB Sciex LC-MS/MS, ICP-MS analysis experience, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. The Beckman Research Institute of City of Hope is looking for a talented Staff Scientist to perform several functions as a member of the Analytical Pharmacology Core Facility. You will support preclinical and clinical research by generating high-quality bioanalytical data for pharmacokinetic (PK), pharmacodynamic (PD), and biomarker studies. You will be responsible for the development, validation, and application of LC-MS/MS methods to quantify small molecules and related analytes in biological matrices. Working within a service-oriented core facility, you will operate both independently and collaboratively to deliver accurate, reproducible, and regulatory-compliant data. The position emphasizes hands-on operation, maintenance, and troubleshooting of LC-MS/MS instrumentation to ensure reliable performance and data integrity. Although based in an academic setting, the core follows industry-aligned practices, including GxP principles, SOP adherence, and rigorous documentation standards. Success in this role requires strong technical expertise, attention to detail, and the ability to independently resolve analytical and instrument-related challenges. As a successful candidate, you will: Develop, optimize, validate, and apply LC-MS/MS methods for quantitative analysis of small molecules and biomarkers in biological matrices Perform routine and non-routine bioanalytical sample analysis in support of PK/PD, toxicology, and translational studies Independently troubleshoot assay performance, sample preparation, and instrument-related issues to ensure data quality and reproducibility Operate, maintain, and troubleshoot LC-MS/MS systems and associated LC instrumentation; coordinate routine maintenance and address performance issues as needed Analyze and interpret bioanalytical data using appropriate software tools and ensure accuracy, consistency, and completeness of results Maintain clear, thorough, and compliant documentation of experimental procedures, data, and results in accordance with SOPs and applicable regulatory standards Adhere to GxP principles, institutional policies, and study protocols, as applicable Communicate results, technical issues, and study progress effectively to investigators and collaborators Contribute to preparation of technical reports, study summaries, and supporting documentation for research and regulatory purposes Participate in laboratory investigations, including deviation identification, root cause analysis, and implementation of corrective actions Support continuous improvement of laboratory workflows, assay robustness, and data quality Maintain a safe, organized, and compliant laboratory environment Your qualifications should include: Ph.D. in chemistry, biochemistry, pharmaceutical sciences, or a related field with 0–3 years of relevant experience; OR M.S. with 3–5 years; OR B.S. with 5–8 years of relevant experience Strong hands-on experience with LC-MS/MS bioanalysis of small molecules Demonstrated experience in method development, validation, and quantitative analysis in biological matrices Experience with sample preparation techniques (e.g., protein precipitation, LLE, SPE) Familiarity with pharmacokinetic/pharmacodynamic studies and bioanalytical workflows Experience in a CRO, pharmaceutical, or biotech environment Experience with Waters and/or AB Sciex LC-MS/MS instrumentation is highly desirable Experience with ICP-MS analysis using Agilent systems is a plus Proficiency with instrument control and data acquisition software (e.g., MassLynx®, Analyst®) Experience with instrument maintenance, troubleshooting, and performance optimization Strong foundation in analytical chemistry, including principles of quantitative analysis Familiarity with GxP practices and FDA Bioanalytical Method Validation Guidance for Industry Strong interpersonal, documentation, and organizational skills, with a demonstrated commitment to delivering high-quality analytical support in a core facility environment City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Staff Scientist - Analytical Pharmacology Core Facility for Pharmacokinetic (PK), Pharmacodynamic (PD), and Biomarker Studies at City of Hope. Skills: LC-MS/MS method development, Bioanalytical sample analysis, Instrument troubleshooting. Develop LC-MS/MS methods. Optimize LC-MS/MS methods", "createdAt" : "2026-06-14T06:53:57.157", "lastUpdated" : "2026-06-15T05:07:32.825", "ingestTimestamp" : "2026-06-14T06:53:57.157", "mongoId" : "69dde45b2beec4dd3d9a3f1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Bioanalysis", "Small molecule analysis", "Biomarker quantification", "Assay performance", "Instrument maintenance", "LC-MS/MS method development", "Bioanalytical sample analysis", "Instrument troubleshooting", "Analytical chemistry", "Quantitative analysis", "Method validation", "Data interpretation", "Troubleshooting", "Pharmacokinetics (PK)", "Pharmacodynamics (PD)", "Biomarker studies", "Bioanalytical workflows", "GxP principles", "MassLynx", "Analyst" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d707374d8ee00a0be4c32", "title" : "Initiativbewerbung / Unsolicited application", "company" : "BEUMER Group", "industry" : "Industrial Automation", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for mid-seniority roles in India's manufacturing industry, adjusted for company size and specific role." }, "location" : "Beckum, NRW, Germany", "locations" : [ "Beckum", "NRW", "Germany" ], "timestamp" : "2026-06-16T02:15:10.246", "fingerprint" : "d69c66fac05fcf3884930d517484c67d810feea270e13872e226b95d508f853b", "source" : "smartrecruiters", "language" : "de", "applyUrl" : "https://jobs.smartrecruiters.com/BEUMERGroup1/744000131436633-initiativbewerbung-unsolicited-application", "externalId" : "744000131436633", "industryFunction" : { }, "structuredLocations" : [ { "city" : "beckum", "state" : "north rhine-westphalia", "country" : "Germany", "continent" : "europe", "source" : "locations-index", "geo" : "51.75571,8.04075" } ], "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Fördern, Verladen, Palettieren, Verpacken, Sortieren und Verteilen – die BEUMER GROUP entwickelt und produziert technisch führende Intralogistik-Systeme für den Weltmarkt. Exzellentes Know-how und ein starker Wille, sich konsequent weiterzuentwickeln, zeichnen unsere Mitarbeiter aus. Wir fördern diesen Anspruch nach Kräften: im Rahmen eines familiären Miteinanders, das von hoher gegenseitiger Wertschätzung geprägt ist und einer Vertrauenskultur, die Stabilität und Sicherheit schafft. Unser gemeinsames Ziel: herausragende und innovative Projekte weltweit umzusetzen. Du hast keine passende Stellenausschreibung gefunden? Hier kannst du dich initiativ für unseren Talent Pool bewerben. If there are currently no relevant vacancies, you are more than welcome to upload an unsolicited application. We will get in touch if there is a future vacancy matching your profile. Thank you very much for your interest in BEUMER Group. ## Additional Information Wir freuen uns auf deine Bewerbung! Bitte mit Angabe deiner Gehaltsvorstellung (Jahresbrutto) und deiner Kündigungsfrist bzw. deinem frühestmöglichen Eintrittstermin. #LI-DNI", "summaryDescription" : "Initiativbewerbung / Unsolicited application at BEUMER Group", "postedDate" : "2026-06-10T12:29:14.000", "createdAt" : "2026-06-14T19:59:10.123", "lastUpdated" : "2026-06-16T02:15:10.246", "ingestTimestamp" : "2026-06-14T19:59:10.123", "mongoId" : "6a2d707374d8ee00a0be4c32", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.0 }, { "id" : "6960822e0937eae70e9c7f2e", "title" : "Social Studies Teacher", "industry" : "Education", "salary" : { "min" : 58000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Social Studies Teacher in Richmond, United States, adjusted for the education industry." }, "location" : "TEXAS-RICHMOND-DAVID CROCKETT MIDDLE SCHOOL", "locations" : [ "TEXAS-RICHMOND-DAVID CROCKETT MIDDLE SCHOOL", "
DAVID CROCKETT MIDDLE SCHOOL (53)
19001 BEECHNUT
RICHMOND, 77407

" ], "certifications" : [ "Valid Teaching Certification", "Valid Texas ESL Certification", "Valid Bilingual Certification", "Valid Driver's license", "CDL Certification" ], "timestamp" : "2026-06-15T05:14:30.799", "fingerprint" : "996332037e861e640858b6a866e20fc01635fd88faaf9140e8f124b4b5c8e365", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=181428", "externalId" : "181428", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Richmond", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.5821811,-95.7607832" } ], "locationText" : "Richmond, Texas, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Instructional planning", "Student assessment", "Behavior management", "Curriculum development" ], "majorSkills" : "Instructional planning, Student assessment, Behavior management", "majorSkillsList" : [ "Instructional planning", "Student assessment", "Behavior management" ], "coreResponsibilities" : "Plan instructional program, Implement instructional program, Provide educational services, Manage student behavior, Assess student achievement, Evaluate student achievement, Modify instructional activities, Monitor student behavior, Coach UIL sport, Provide athletic services, Assess student abilities, Maintain assessment documentation, Plan learning strategies, Plan learning activities, Implement learning experiences, Manage learner behavior, Ensure learning environment, Participate in management, Coordinate instructional activities, Coordinate testing activities, Utilize instructional materials, Enhance learning, Work in capacity, Work with resource personnel, Participate in staff development, Attend staff meetings, Communicate with parents, Communicate with students, Manage learning time, Maximize student achievement, Assign work, Supervise instructional assistants, Supervise volunteers, Ensure classroom environment, Make off-school site visits, Monitor students, Confer with employers, Support school wide activities, Participate in social events, Participate in fund raising, Intervene to control behavior, Modify disruptive behavior, Report disruptive behavior, Collaborate with professionals, Carry out activities, Perform coaching duties, Adhere to UIL rules, Assist Athletic Department, Communicate with Athletic Department", "teamCollaboration" : "Coordinate with professional staff; Collaborate with other professionals; Work with resource personnel", "domainKnowledge" : "FBISD program of studies; Public school mission; Instructional specialty content; Instructional specialty curriculum; Instructional specialty methods; Instructional specialty materials; Instructional specialty equipment", "domainList" : [ "fbisd-program-of-studies", "public-school-mission", "instructional-specialty-content", "instructional-specialty-curriculum", "instructional-specialty-methods", "instructional-specialty-materials", "instructional-specialty-equipment" ], "domainSpecificKnowledge" : [ "FBISD program of studies", "Public school mission", "Instructional specialty content", "Instructional specialty curriculum", "Instructional specialty methods", "Instructional specialty materials", "Instructional specialty equipment" ], "communicationSkills" : "Communication with parents; Communication with students", "documentationSkills" : "Assessment documentation", "continuousLearning" : "Staff development activities; In-service activities", "specialRequirements" : "Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Lifting less than 40 pounds, Use hands to finger, Use hands to handle, Use hands to feel objects, Use hands to feel tools, Reach with hands, Talk or hear, Close vision, Color vision, Adjust focus, Attendance at conferences, Work prolonged hours, Work irregular hours, Maintain emotional control, Travel to various campuses, Travel to district meeting sites, Travel to conferences, Travel out of state, Work evenings, Work weekends, Noisy environment, Disruptive student behavior, Potential exposure to bodily fluids, Frequent childhood illnesses, Frequent pre-teen illnesses, Frequent teen illnesses", "outcomesObjectives" : "Maximize student achievement", "qualificationsBasic" : "Bachelor's degree, Valid Teaching Certification, Valid Texas ESL Certification, Valid Bilingual Certification, Valid Driver's license", "qualificationsPreferred" : "Master's degree, CDL Certification, Coaching experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Teacher will plan and implement an instructional program and provide related educational services for students in assigned grade levels. The incumbent will manage student behavior, assess and evaluate student achievement, and modify instructional activities as required as well as carry out a variety of student monitoring and controls activities. Any teacher who will coach a UIL sport will also provide athletic services related to that athletic sport and the athletic program. Position Description Essential Duties and Responsibilities Assess student abilities as related to desired educational goals, objectives and outcomes. Continually assess student achievement and maintain appropriate assessment and evaluation documentation for institutional and individual reporting purposes. Plan appropriate instructional/learning strategies and activities including determination of appropriate kind and level of materials Implement an instructional program which provides appropriate learning experiences, considering different learning styles and a range of learning curves Manage the behavior of learners in instructional setting to ensure environment is conducive to the learning process, assist and participate in management of student behavior in other parts of the school, center, school grounds or work site Coordinate instructional related and testing activities with other professional staff, both school and non-school-based, as required, maximizing learning opportunities Utilize a variety of instructional materials and available multi-media and computer technology to enhance learning Work in a self-contained, team, departmental, itinerant capacity, or at field work site, as assigned; request assistance of and work with resource personnel Participate in in-service and staff development activities and staff meetings as required or assigned Ensure continuous communication with parents, both written and oral, to keep them informed of student(s) progress Continually communicate with students on instructional expectations and keep them informed of their progress in meeting those expectations Manage allotted learning time to maximize student achievement May assign work to and supervise instructional assistants, parent and student volunteers Ensure classroom and/or instructional environment is attractive, healthful, safe, and conducive to learning and that materials are accessible to students and in good condition May, as itinerant, serve at two or more schools on a regular basis. May make off-school site visits to monitor students, confer with employers, or site instructors. Support or participate in school wide student activities and social events and approved fund raising activities As assigned or required, monitor student behavior in non-instructional areas and intervenes to control and modify disruptive behavior, reporting to appropriate administrator as appropriate From time-to-time, collaborate with other professionals (guidance counselors, librarians) to carry out school-wide instructional or related activities If the position is tied to coaching a UIL sport, the following essential duties and responsibilities are applicable to coaching: Perform coaching duties as assigned as well as other duties required for the smooth, efficient operation of a successful athletic program Possess knowledge and adhere to UIL rules and regulations Assist the Athletic Department with budget, schedules, care/use of facilities Communicate with the Athletic Department on a regular basis Supervisory Responsibilities None Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Bachelor's degree Master's degree preferred Valid Teaching Certification Issued by Texas Education Agency appropriate to subject and grade level of assignment or has received statement of eligibility Valid Texas ESL Certification for Elementary and Secondary English/ELA teaching assignments, or must be obtained within 6 months of hire Valid Bilingual Certification for Bilingual teaching assignments Valid Driver's license with CDL Certification preferred if coaching a UIL sport Coaching experience preferred if coaching a UIL sport Demonstrated knowledge of FBISD program of studies related to assignments and public school mission, goals and organization Demonstrated knowledge of content, curriculum, methods, materials and equipment of instructional specialty(ies) to which assigned Demonstrated knowledge of adolescent growth and development or, if applicable, adult learning theory Ability to apply knowledge of current research and theory to instructional programs Ability to plan and implement lessons based on division and school objectives and the needs and abilities of students to whom assigned Ability to establish and maintain effective relationships with students, peers and parents Strong oral and written communication skills If teaching a foreign language, proficiency in oral and written communication in that language; if teaching choral music, ability to demonstrate proper techniques (singing) is highly desirable; if teaching instrumental music classes, proficiency in one or more musical instruments; for both choral and instrumental music teachers, excellent hearing and ability to determine pitch and tone variations; if teaching in a vocational trade, including business trades, journey-level proficiency in that trade is with on the job journey, lead, or supervisory experience highly desirable If teaching auto mechanics or driver education, assigned off-site tasks or serving as an itinerant, possession of an appropriate, valid automotive vehicle operator's license is required Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information This position may require travel to various campuses, district meeting sites and conferences/meetings in and out of state. This position may require the employee to work some evenings and weekends. Work may include noisy and/or disruptive student behavior. Potential exposure to bodily fluids and frequent childhood, pre-teen or teen illnesses may occur. TEXAS-RICHMOND", "summaryDescription" : "Social Studies Teacher. Skills: Instructional planning, Student assessment, Behavior management. Plan instructional program. Implement instructional program", "createdAt" : "2026-06-14T00:33:04.329", "lastUpdated" : "2026-06-15T05:14:30.799", "ingestTimestamp" : "2026-06-14T00:33:04.329", "mongoId" : "6960822e0937eae70e9c7f2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Instructional planning", "Student assessment", "Behavior management", "Curriculum development", "FBISD program of studies", "Public school mission", "Instructional specialty content", "Instructional specialty curriculum", "Instructional specialty methods", "Instructional specialty materials", "Instructional specialty equipment", "Valid Teaching Certification", "Valid Texas ESL Certification", "Valid Bilingual Certification", "Valid Driver's license", "CDL Certification" ], "skillCount" : 16, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0df91758b93c861ebd9e1b", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T08:32:08.536", "fingerprint" : "e45e1f00f8acdd919f73d76bed8c7973a56bf1ffaa338ba7a0602225defa4d98", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410623/apply", "externalId" : "14b7b43f-99d4-45ec-81ec-2298bbf93f7b", "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" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Event-driven architecture, Serverless architecture, Big data systems, Machine learning, Generative AI", "professionalSkills" : [ "Ad tech systems", "Customer understanding", "Driving results" ], "hardSkillsList" : [ "Software development", "System design", "Architecture", "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine learning, Ad tech, Big data", "majorSkillsList" : [ "Generative AI", "Machine learning", "Ad tech", "Big data" ], "coreResponsibilities" : "Design new components, Develop new components, Develop real time systems, Develop petabyte scale big data systems, Design software, Launch software, Own software, Evolve software, Invent ML-based approaches, Build ML-based approaches, Try ML-based approaches", "teamCollaboration" : "Scrum team; External partners; Internal partners; Scientists; Economists", "projectManagementSkills" : [ "Scrum" ], "domainKnowledge" : "Ad tech; Shopping experiences; Generative AI technologies; Advertising landscape", "domainList" : [ "ad-tech", "shopping-experiences", "generative-ai-technologies", "advertising-landscape" ], "domainSpecificKnowledge" : [ "Ad tech", "Shopping experiences", "Generative AI technologies", "Advertising landscape" ], "innovationCreativity" : "Next innovations; Invent ML-based approaches", "outcomesObjectives" : "Drive results at scale", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming at least one language", "qualificationsPreferred" : "5+ years full software development lifecycle, Bachelor's degree in computer science, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Key job responsibilities Together with your scrum, you will: - Design and develop new components using the latest event-driven and server-less AWS technologies. - Develop both real time and petabyte scale big data systems working directly with different types of technology. - Design, launch, own and evolve software that serves both the interests of customers and advertisers. - Work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing 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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Machine learning, Ad tech, Big data. Design new components. Develop new components", "postedDate" : "2026-06-13T11:10:48.403", "createdAt" : "2026-06-13T11:10:48.403", "lastUpdated" : "2026-06-15T08:32:08.536", "ingestTimestamp" : "2026-06-13T11:10:48.403", "mongoId" : "6a0df91758b93c861ebd9e1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410623/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture", "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing", "Generative AI", "Ad tech", "Big data", "Ad tech systems", "Customer understanding", "Driving results", "Scrum", "Shopping experiences", "Generative AI technologies", "Advertising landscape" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6931903370f0b99d580879f2", "title" : "Applied Scientist III, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:42:56.908", "fingerprint" : "c61c1cc7f9b4c2be30f26584e9246334062b705f088cc642c659681d63a0543c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137028/apply", "externalId" : "da773fc8-cb6e-42d0-81c2-f413a80a182f", "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" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Neural deep learning, Machine learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark", "professionalSkills" : [ "ML modeling", "Causal inference", "Reinforcement learning", "Optimization techniques", "LLMs", "Online experimentation", "ML solutions" ], "hardSkillsList" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs", "Online experimentation", "ML modeling" ], "softSkillsList" : [ "Customer obsession", "Inventing", "Simplifying" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "LLMs", "level" : "intermediate" }, { "name" : "Online experimentation", "level" : "intermediate" }, { "name" : "ML modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer obsession" }, { "name" : "Inventing" }, { "name" : "Simplifying" } ], "majorSkills" : "Machine learning, Causal inference, Reinforcement learning, LLMs", "majorSkillsList" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs" ], "coreResponsibilities" : "Improve quality of ads shown, Use in-session and offline signals, Use online experimentation, Use ML modeling, Use simulation, Use online feedback, Identify big opportunities, Make direct impact on customers, Improve search experience, Work closely with partner teams, Build scalable real-time ML solutions, Design A/B experiments, Run A/B experiments, Analyze A/B experiments", "teamCollaboration" : "Search partner teams; Retail partner teams; Software engineers; Product managers", "domainKnowledge" : "Generative AI; Advertising landscape; Advertising lifecycle; Advertising experiences; Marketplace", "domainList" : [ "generative-ai", "advertising-landscape", "advertising-lifecycle", "advertising-experiences", "marketplace" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Advertising lifecycle", "Advertising experiences", "Marketplace" ], "toolProficiency" : [ "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "innovationCreativity" : "Re-imagining advertising landscape; Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Improve ads experience; Drive quantifiable revenue impact", "qualificationsBasic" : "3+ years building ML models, Master's degree and 6+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning, Experience with machine learning", "qualificationsPreferred" : "Modeling tools experience, Large scale distributed systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The Gnome team within the Sponsored Products and Brands (SPB) improves ad selection helping shoppers reach their shopping mission. To do this, we apply a broad range of machine learning, causal inference, reinforcement learning based optimization techniques and LLMs to continuously explore, learn, and optimize ads shown. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the ads experience by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them. A day in the life As a Senior Applied Scientist on this team, you will be responsible to improve quality of ads shown using in-session and offline signals via online experimentation, ML modeling, simulation, and online feedback. As an Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with with search and retail partner teams, software engineers and product managers to build scalable real-time ML solutions. You will have the opportunity to design, run, and analyze A/B experiments that improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact while broadening your technical skillset. #GenAI Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist III, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine learning, Causal inference, Reinforcement learning, LLMs. Improve quality of ads shown. Use in-session and offline signals", "postedDate" : "2026-06-13T10:33:23.051", "createdAt" : "2026-06-13T10:33:23.051", "lastUpdated" : "2026-06-15T04:42:56.908", "ingestTimestamp" : "2026-06-13T10:33:23.051", "mongoId" : "6931903370f0b99d580879f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137028/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs", "Online experimentation", "ML modeling", "Customer obsession", "Inventing", "Simplifying", "Optimization techniques", "ML solutions", "Generative AI", "Advertising landscape", "Advertising lifecycle", "Advertising experiences", "Marketplace", "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a16291d58b93c861e95a4e0", "title" : "Senior Electrical Studies Engineer", "industry" : "Consulting", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Electrical Studies Engineer in Billings, United States, adjusted for seniority and industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "Professional Engineers (PE) license" ], "timestamp" : "2026-06-16T03:23:59.603", "fingerprint" : "607f4de04b739ec0e9aed1cf04411b1994022f9c2108e60401263f511746f20b", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=660465", "externalId" : "660465", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Billings", "state" : "Montana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.7874957,-108.4960700" } ], "locationText" : "Billings, Montana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "PLS CAD, AutoCAD, Plant 3D, AutoPipe, Revit", "professionalSkills" : [ "Project execution" ], "majorSkills" : "Electrical Studies", "majorSkillsList" : [ "Electrical Studies" ], "coreResponsibilities" : "Be an active participant of our employee-owned culture", "domainKnowledge" : "Power Market Sector", "domainList" : [ "power-market-sector" ], "domainSpecificKnowledge" : [ "Power Market Sector" ], "toolProficiency" : [ "Microsoft Office" ], "qualificationsBasic" : "Bachelor's degree in Engineering, 10 years of experience, Professional Engineers (PE) license, Extensive experience in project execution within the Power Market Sector, Proficient computer skills in Microsoft Office, Proficient computer skills in standard Power Market Sector design software", "qualificationsPreferred" : "Experience with PLS CAD, Experience with AutoCAD, Experience with Plant 3D, Experience with AutoPipe, Experience with Revit", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in Engineering A minimum of 10 years of experience Professional Engineers (PE) license Extensive experience in project execution within the Power Market Sector Proficient computer skills in Microsoft Office as well as standard Power Market Sector design software (examples include PLS CAD, AutoCAD, Plant 3D, AutoPipe, and Revit) An attitude and commitment to being an active participant of our employee-owned culture What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Montana-Billings", "summaryDescription" : "Senior Electrical Studies Engineer. Skills: Electrical Studies. 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Zur Verstärkung unseres Teams suchen wir eine/n qualifizierten Director of Studies (DaF). In dieser Rolle übernehmen Sie die pädagogische Leitung unseres Deutschprogramms und stellen gemeinsam mit Ihrem Team höchste Unterrichtsqualität für internationale Studierende sicher. * Führung und Weiterentwicklung des Lehrerteams * Sicherstellung der Unterrichtsqualität sowie Durchführung von Evaluationen * Einstufung und Kursplanung für Studierende * Weiterentwicklung und Optimierung des Kursangebots * Prüfungsverantwortung für lizenzierte Prüfungen telc und testDaF * Entwicklung von Lehrmaterialien * Recruiting, Einsatzplanung und Betreuung von Lehrkräften ## Qualifications * Universitätsabschluss DaF oder EUROLTA Zertifikat DaF/IHC/Vergleichbares * Erfahrung im DaF-Unterricht, idealerweise mit Führungsverantwortung * Organisationsstärke sowie strukturierte Arbeitsweise * Ausgeprägte Kommunikations- und Teamfähigkeit * Sehr gute Deutsch- und gute Englischkenntnisse ## Additional Information Arbeitsort: ALPADIA Berlin (Schöneberg) Anstellungsdauer: unbefristet Wochenarbeitszeit: 37.5 h Anstellungsdatum: ab sofort / nach Absprache Wochenarbeitszeit: 100% - 37.5 h Bitte senden Sie uns Ihre Bewerbung auf Deutsch (Lebenslauf) mit einem Bewerbungsanschreiben und Foto an Cornelia Mueller, Director of School Operations - Europe. Für weitere Informationen zu unseren Schulen und Camps, besuchen Sie unsere Homepage www.alpadia.com. Es werden nur Bewerbungen bearbeitet und beantwortet, die dem Profil entsprechen.", "summaryDescription" : "Fachbereichsleitung DaF, Director of Studies at ALPADIA Language Schools SA. Skills: Deutsch als Fremdsprache, Lehrerteamleitung, Kursangebotentwicklung. Leitung des Lehrerteams. Weiterentwicklung des Lehrerteams", "postedDate" : "2026-06-15T15:44:59.000", "createdAt" : "2026-06-16T00:00:00.692", "lastUpdated" : "2026-06-16T11:54:35.927", "ingestTimestamp" : "2026-06-16T00:00:00.692", "mongoId" : "6a305ca3f292fd229cf62dfc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Organisationsstärke", "Kommunikationsfähigkeit", "Teamfähigkeit", "Deutsch als Fremdsprache", "Lehrerteamleitung", "Kursangebotentwicklung", "Unterrichtsqualität", "Kursplanung", "Lehrmaterialien", "telc Prüfungen", "testDaF Prüfungen", "EUROLTA Zertifikat DaF/IHC/Vergleichbares" ], "skillCount" : 12, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25146374d8ee00a00bb763", "title" : "Software Development Engineer II, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T08:51:03.300", "fingerprint" : "138765dcc087e459b9e91bc3750703a9e45f6e80c30b36ab47d454f29d5827de", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440399/apply", "externalId" : "428ef94a-2aac-48b5-94a5-036303f57c0c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Object Oriented Design" ], "hardSkills" : [ { "name" : "Object Oriented Design", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Software development, AI technologies", "majorSkillsList" : [ "Generative AI", "Software development", "AI technologies" ], "coreResponsibilities" : "Contribute to full software development lifecycle, Scoping, Design, Code, Testing, Deployment, Maintenance, Solve software challenges, Demonstrate operational excellence, Active in operational support, Identify root causes, Resolve issues, Participate in code review, Provide feedback, Collaborate with data scientists, Collaborate with product managers, Establish best practices, Drive improvements, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Generative AI technologies; Advertising landscape; Advertising lifecycle", "domainList" : [ "generative-ai-technologies", "advertising-landscape", "advertising-lifecycle" ], "domainSpecificKnowledge" : [ "Generative AI technologies", "Advertising landscape", "Advertising lifecycle" ], "innovationCreativity" : "Pushing boundaries with AI", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, 1+ years software development engineer experience, 1+ years large-scale software applications experience, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent, Experience programming at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • You are a significant contributor to the full software development lifecycle, including scoping, design, code, testing, deployment, and maintenance. • Solve difficult software challenges using state-of-the-art technology. • Demonstrate operational excellence in all your work and are active in operational support, ensuring root causes of issues are identified and resolved. • Actively participate in code review, provide meaningful feedback to other to raise the bar. • Collaborate with data scientists and product managers on machine learning experiments. • Establish best practices and drive improvements in design, development, and operations. • Mentor junior engineers in design, coding, troubleshooting, and operational excellence. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Background in advertising technology or e-commerce platforms - Demonstrated track record of innovative AI solution development - Experience with generative model architectures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer II, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Software development, AI technologies. Contribute to full software development lifecycle. Scoping", "postedDate" : "2026-06-14T01:36:31.895", "createdAt" : "2026-06-14T01:36:31.895", "lastUpdated" : "2026-06-15T08:51:03.300", "ingestTimestamp" : "2026-06-14T01:36:31.895", "mongoId" : "6a25146374d8ee00a00bb763", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440399/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Object Oriented Design", "Generative AI", "Software development", "AI technologies", "System design", "Reliability", "Scaling", "Generative AI technologies", "Advertising landscape", "Advertising lifecycle" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69fda4e64c40e2acd1b99af2", "title" : "Applied Science Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 202000.0, "max" : 273600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:47:42.669", "fingerprint" : "d8a90b9d636b94a49694c17867b2218cf0e64f07a91af868d1a5132c7bd992a4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412277/apply", "externalId" : "1e929245-5acc-409b-a774-775f10dc2e73", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "ML, NLP, Information Retrieval, Analytics, Java, C++, Python, LLM, RAG", "professionalSkills" : [ "Scientific excellence", "Customer obsession", "Ownership", "Scientific vision", "Roadmap planning", "Model evaluation", "Prompt optimization", "A/B testing", "Drift monitoring" ], "hardSkillsList" : [ "Model evaluation", "Prompt engineering", "LLM fine-tuning", "Programmatic prompt optimization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" }, { "name" : "Programmatic prompt optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Applied Science, Model Evaluation, Machine Learning", "majorSkillsList" : [ "Generative AI", "Applied Science", "Model Evaluation", "Machine Learning" ], "coreResponsibilities" : "Lead talent team, Mentor talent team, Grow talent team, Foster culture scientific excellence, Foster culture customer obsession, Foster culture ownership, Own scientific vision, Own multi-quarter roadmap, Design evaluation frameworks, Deliver evaluation frameworks, Lead development optimization engine, Refine prompts programmatically, Generate synthetic training pairs, Compose agent decomposition strategies, Establish offline-to-online consistency, Establish A/B testing discipline, Establish drift monitoring, Communicate scientific vision, Communicate research breakthroughs, Communicate business outcomes, Drive alignment objectives", "teamCollaboration" : "Applied scientists; Machine learning engineers; Senior leadership; Broader Amazon Advertising", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Brand intelligence; Agentic systems; LLM-based agents; Orchestrator-worker patterns; Retrieval-augmented generation; Multi-agent orchestration; Sponsored products; Sponsored brands", "domainList" : [ "brand-intelligence", "agentic-systems", "llm-based-agents", "orchestrator-worker-patterns", "retrieval-augmented-generation", "multi-agent-orchestration", "sponsored-products", "sponsored-brands" ], "domainSpecificKnowledge" : [ "Brand intelligence", "Agentic systems", "LLM-based agents", "Orchestrator-worker patterns", "Retrieval-augmented generation", "Multi-agent orchestration", "Sponsored products", "Sponsored brands" ], "toolProficiency" : [ "LLM-as-Judge" ], "communicationSkills" : "Executive presentations", "innovationCreativity" : "Generative AI technologies", "problemSolvingSkills" : "Diagnose underperformance; Root cause analysis", "outcomesObjectives" : "Attains accuracy targets; Enables forward evaluation; Establishes autonomous loop; Scale quality across skills", "qualificationsBasic" : "4+ years applied research, 3+ years management experience, 3+ years ML models business application, PhD or Master's degree, 6+ years applied research, Knowledge of ML, Knowledge of NLP, Knowledge of Information Retrieval, Knowledge of Analytics, Experience programming Java, Experience programming C++, Experience programming Python", "qualificationsPreferred" : "Experience recommender systems, Experience personalization, Ph.D. computer science, Ph.D. machine learning, Ph.D. engineering, Master's degree quantitative field, 4+ years quantitative field, Publications top-tier conferences, Publications top-tier journals, 5+ years management experience, Hands-on LLM agentic systems, Experience LLM fine-tuning, Experience prompt engineering, Experience programmatic prompt optimization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. As the Applied Science Manager for the Continuous Model Evaluation and Learning workstream, you will own the quality backbone for this agentic brand-intelligence system. You will lead a mix of applied scientists and engineers who define what \"good\" looks like for each brand skill, instrument the system to measure it, diagnose why skills underperform, and close the loop by generating, validating, and deploying improvements. You will deliver the evaluation and remediation framework that attains accuracy targets, enables forward evaluation for skills as they develop, and establishes the autonomous detect-diagnose-remediate loop that lets us scale quality across all brand skills and multiple advertiser-facing surfaces. This is a business-critical, greenfield initiative within SPB. You will set the scientific charter, grow the talent on your team, and ship the framework that every other brand-intelligence workstream depends on. Key job responsibilities - Lead, mentor, and grow the talent on a team composed of applied scientists and machine learning engineers, fostering a culture of scientific excellence, customer obsession, and ownership. - Own the scientific vision and multi-quarter roadmap for continuous model evaluation and learning across the brand-intelligence system. - Design and deliver evaluation frameworks for agentic brand-intelligence skills, including LLM-as-Judge rubrics, multi-model ensemble judging, gold-set construction, and calibration against human evaluators. - Lead development of the optimization engine that programmatically refines prompts, generates synthetic training pairs, and composes agent decomposition strategies (orchestrator-worker patterns) when single-agent skills hit complexity limits. - Establish rigorous offline-to-online consistency, A/B testing discipline, and drift monitoring so that quality improvements generalize to production traffic. - Communicate scientific vision, research breakthroughs, and business outcomes to senior leadership, and drive alignment with broader Amazon Advertising objectives. Basic Qualifications: - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields - Ph.D. in computer science, machine learning, engineering, or related fields, or Master's degree and 4+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - Have publications at top-tier peer-reviewed conferences or journals - 5+ years of scientists or machine learning engineers management experience - Hands-on experience designing, deploying, and evaluating LLM-based agentic systems, including tool use, multi-step planning and reasoning, retrieval-augmented generation (RAG), and multi-agent orchestration (orchestrator-worker, swarm, critic-actor patterns). - Experience with large-scale LLM fine-tuning (SFT, RLHF, DPO), prompt engineering, and programmatic prompt optimization frameworks. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 202,200.00 - 273,600.00 USD annually USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually", "summaryDescription" : "Applied Science Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Applied Science, Model Evaluation, Machine Learning. Lead talent team. Mentor talent team", "postedDate" : "2026-06-13T07:29:57.873", "createdAt" : "2026-06-13T07:29:57.873", "lastUpdated" : "2026-06-15T01:47:42.669", "ingestTimestamp" : "2026-06-13T07:29:57.873", "mongoId" : "69fda4e64c40e2acd1b99af2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412277/apply", "salaryAnnualMin" : 202000, "salaryAnnualMax" : 273600, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Model evaluation", "Prompt engineering", "LLM fine-tuning", "Programmatic prompt optimization", "Leadership", "Mentoring", "Generative AI", "Applied Science", "Model Evaluation", "Machine Learning", "Scientific excellence", "Customer obsession", "Ownership", "Scientific vision", "Roadmap planning", "Prompt optimization", "A/B testing", "Drift monitoring", "Brand intelligence", "Agentic systems", "LLM-based agents", "Orchestrator-worker patterns", "Retrieval-augmented generation", "Multi-agent orchestration", "Sponsored products", "Sponsored brands", "LLM-as-Judge" ], "skillCount" : 27, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2176d374d8ee00a0c1af5e", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:55:30.683", "fingerprint" : "e378cd8f270b1dfc3555aaf7f8ae7842287bab66bd21e4d4cce1a048769b0502", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438733/apply", "externalId" : "c5df5941-c47e-4788-9e98-ee08a742a5b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Generative AI", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Computer science fundamentals", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Computer science fundamentals", "level" : "intermediate" }, { "name" : "Problem-solving skills", "level" : "intermediate" } ], "majorSkills" : "Generative AI, High-performance systems", "majorSkillsList" : [ "Generative AI", "High-performance systems" ], "coreResponsibilities" : "Design scalable services, Develop scalable services, Deliver scalable services, Handle billions of requests, Maintain millisecond latencies, Meet strict SLA requirements, Build end-to-end features, Operate on massive datasets, Design flexible systems, Design reliable systems, Design maintainable systems, Simplify complex problems, Ship incrementally, Improve system quality, Collaborate with partners, Define requirements, Deliver customer-focused solutions, Apply computer science fundamentals, Navigate technical challenges, Make sound design trade-offs, Drive engineering best practices, Maintain system reliability", "teamCollaboration" : "Cross-functional partners; Product managers; Scientists; Engineers", "domainKnowledge" : "Retail media; Brand advertising; Product catalogs; Distributed frameworks; Advertising landscape; AI technologies", "domainList" : [ "retail-media", "brand-advertising", "product-catalogs", "distributed-frameworks", "advertising-landscape", "ai-technologies" ], "domainSpecificKnowledge" : [ "Retail media", "Brand advertising", "Product catalogs", "Distributed frameworks", "Advertising landscape", "AI technologies" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Generative AI technologies", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Drive brand advertising at scale; Get brands discovered; Acquire new customers; Grow customer lifetime value; Drive discovery; Drive visibility; Drive share of voice; Shoppers discover brands; Shoppers build affinity; Brands grow business", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in computer science, Experience designing systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Brands Impressions-based Offerings team is evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale — helping brands get discovered, acquire new customers, and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility, and share of voice — spanning advertiser controls, shopper experiences, monetization strategies, and optimization features. We succeed when shoppers discover and build affinity with brands, and when brands can grow their business at scale with our advertising products. We're looking for a Software Development Engineer who thrives on building high-performance systems that operate on one of the world's largest product catalogs. You'll build services that handle billions of requests per day with millisecond-level latencies and strict SLA requirements — working across massive datasets using distributed frameworks. This is a hands-on role for an engineer who takes a pragmatic, iterative approach to delivering software and enjoys collaborating across teams to solve complex problems with simple, scalable solutions. Key job responsibilities - Design, develop, and deliver scalable, high-performance services that handle billions of daily requests while maintaining millisecond-level response latencies and strict SLA requirements - Build end-to-end features across the Sponsored Brands stack — including advertiser controls, shopper experiences, monetization logic, and optimization capabilities - Operate on massive datasets using distributed frameworks, designing systems that are flexible, reliable, and maintainable at catalog scale - Take a pragmatic, iterative approach to software delivery — simplifying complex problems, shipping incrementally, and continuously improving system quality - Collaborate effectively with cross-functional partners — including product managers, scientists, and engineers across internal and external teams — to define requirements and deliver customer-focused solutions - Apply strong computer science fundamentals and problem-solving skills to navigate ambiguous technical challenges and make sound design trade-offs - Drive engineering best practices including code reviews, testing, operational excellence, and documentation to maintain high system reliability About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, High-performance systems. Design scalable services. Develop scalable services", "postedDate" : "2026-06-13T10:44:23.258", "createdAt" : "2026-06-13T10:44:23.258", "lastUpdated" : "2026-06-15T00:55:30.683", "ingestTimestamp" : "2026-06-13T10:44:23.258", "mongoId" : "6a2176d374d8ee00a0c1af5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438733/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Computer science fundamentals", "Problem-solving skills", "Generative AI", "High-performance systems", "System design", "Reliability", "Scaling", "Retail media", "Brand advertising", "Product catalogs", "Distributed frameworks", "Advertising landscape", "AI technologies" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "68e6b1d870f0b99d58d66a7d", "title" : "Principal Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 179000.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T02:43:22.161", "fingerprint" : "8ec624e328332c112fe76bd73d0f93905c4dc4d17289525424262bda6dce27e3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103340/apply", "externalId" : "b6d82723-d7c7-4963-b783-09fa12bb7be8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GenAI, Machine learning, Generative AI, LLM", "professionalSkills" : [ "ML strategy", "GenAI strategy", "Recommender systems" ], "hardSkillsList" : [ "Algorithm design", "Complexity analysis", "Mathematics", "Statistics" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Complexity analysis", "level" : "intermediate" }, { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ML, GenAI, Ranking systems, Retrieval systems", "majorSkillsList" : [ "ML", "GenAI", "Ranking systems", "Retrieval systems" ], "coreResponsibilities" : "Define technical and scientific strategies, Influence scientific and engineering methods, Invent new scientific techniques and paradigms, Grow other scientists in the organization, Liaise with internal Amazon partners, Bring state-of-the-art models to production, Stay abreast of the latest developments in AI/ML/GenAI, Identify opportunities to improve efficiency and productivity, Define a long-term science vision, Translate vision into actionable plans, Build complex, real-time systems using GenAI, Develop machine learning platform strategy, Develop a GenAI strategy for recommender systems", "teamCollaboration" : "Multiple teams of scientists and engineers; Cross-functional projects", "domainKnowledge" : "Ranking systems; Retrieval systems; Recommender systems; Advertising landscape; Generative AI technologies", "domainList" : [ "ranking-systems", "retrieval-systems", "recommender-systems", "advertising-landscape", "generative-ai-technologies" ], "domainSpecificKnowledge" : [ "Ranking systems", "Retrieval systems", "Recommender systems", "Advertising landscape", "Generative AI technologies" ], "communicationSkills" : "Verbal communication; Written communication", "innovationCreativity" : "Invent new product experiences; Innovates on behalf of customers; Invent new scientific techniques and paradigms", "problemSolvingSkills" : "Solve complex challenges", "qualificationsBasic" : "PhD or equivalent in Computer science/Math or related field, Experience in building complex, real-time systems using GenAI, Computer Science fundamentals in data structures, algorithm design and complexity analysis, Ability to develop machine learning platform strategy in recommender systems, Ability to develop a GenAI strategy for recommender systems", "qualificationsPreferred" : "10+ years of relevant, broad research experience after PhD degree, Deep expertise and knowledge of Generative AI methods, Proficiency in programming for algorithm and code reviews, Core competency in mathematics and statistics, Track record of successful projects in algorithm design and product development, Publications at top-tier peer-reviewed conferences or journals, Experience with mentorship and/or management of senior scientists and engineers, Effective verbal and written communication skills with non-technical and technical audiences, Experience working with real-world data sets and building scalable models from big data, Demonstrated track record of project delivery for large, cross-functional projects, Ability to take a project from requirements gathering and design to actual product launch", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products (SP) team is looking for a Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of ML and GenAI models. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists, and engineers. Key job responsibilities - You define technical and scientific strategies to make progress on difficult scientific problems that are still unsolved at Amazon. - Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand. - You invent new scientific techniques and paradigms to address our customers' needs and business problems. - You are a role model and help grow other scientists in the organization. - You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls. - You have 10+ years of research experience after a PhD degree. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Within Sponsored Product and Brands, the Demand Utilization Venture team researches and deploys Generative AI and Reinforcement Learning solutions to improve our understanding of shoppers needs, our understanding of advertisers intent, and how we find the right sponsored products for the right shopper in the right search context. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! Basic Qualifications: - PhD or equivalent in Computer science/Math or related field.  - Experience in building complex, real-time systems using GenAI, with successful delivery to customers. - Computer Science fundamentals in data structures, algorithm design and complexity analysis.  - Ability to develop machine learning platform strategy in the domain of recommender systems. - Ability to develop a GenAI strategy for recommender systems. Preferred Qualifications: 10+ years of relevant, broad research experience after PhD degree or equivalent.  Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. Proficiency in programming for algorithm and code reviews.  Strong core competency in mathematics and statistics.  Track record of successful projects in algorithm design and product development.  Publications at top-tier peer-reviewed conferences or journals.  Experience with mentorship and/or management of senior scientists and engineers.  Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Principal Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: ML, GenAI, Ranking systems, Retrieval systems. Define technical and scientific strategies. Influence scientific and engineering methods", "postedDate" : "2026-06-13T06:10:32.841", "createdAt" : "2026-06-13T06:10:32.841", "lastUpdated" : "2026-06-15T02:43:22.161", "ingestTimestamp" : "2026-06-13T06:10:32.841", "mongoId" : "68e6b1d870f0b99d58d66a7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103340/apply", "salaryAnnualMin" : 179000, "salaryAnnualMax" : 309400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm design", "Complexity analysis", "Mathematics", "Statistics", "Leadership", "Mentoring", "ML", "GenAI", "Ranking systems", "Retrieval systems", "ML strategy", "GenAI strategy", "Recommender systems", "Advertising landscape", "Generative AI technologies" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fe94fe4c40e2acd112180a", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:31:17.127", "fingerprint" : "5c0b643709b4f75330ab493a1347c607a62f5167c623b112007223d9362f04b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414900/apply", "externalId" : "ae8f2580-e704-4d57-832e-d48338837ecf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Server-less, Event-driven, Big data, Machine learning, Generative AI, AI", "professionalSkills" : [ "System design", "Ad tech", "Shopping experiences" ], "hardSkillsList" : [ "ML-based approaches", "Data systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML-based approaches", "level" : "intermediate" }, { "name" : "Data systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, Ad tech, Machine learning", "majorSkillsList" : [ "Generative AI", "Ad tech", "Machine learning" ], "coreResponsibilities" : "Design new components, Develop new components, Develop real time systems, Develop petabyte scale systems, Design software, Launch software, Own software, Evolve software, Invent ML-based approaches, Build ML-based approaches, Try ML-based approaches", "teamCollaboration" : "Scrum team; Scientists; Economists; External partners; Internal partners", "projectManagementSkills" : [ "Scrum" ], "domainKnowledge" : "Ad tech; Shopping experiences; Generative AI", "domainList" : [ "ad-tech", "shopping-experiences", "generative-ai" ], "domainSpecificKnowledge" : [ "Ad tech", "Shopping experiences", "Generative AI" ], "innovationCreativity" : "Next innovations; Invent approaches", "outcomesObjectives" : "Drive results at scale", "qualificationsBasic" : "3+ years software development experience, 3+ years system design experience, Experience programming one language", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Key job responsibilities Together with your scrum, you will: - Design and develop new components using the latest event-driven and server-less AWS technologies. - Develop both real time and petabyte scale big data systems working directly with different types of technology. - Design, launch, own and evolve software that serves both the interests of customers and advertisers. - Work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Ad tech, Machine learning. Design new components. Develop new components", "postedDate" : "2026-06-13T05:32:42.478", "createdAt" : "2026-06-13T05:32:42.478", "lastUpdated" : "2026-06-15T02:31:17.127", "ingestTimestamp" : "2026-06-13T05:32:42.478", "mongoId" : "69fe94fe4c40e2acd112180a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414900/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ML-based approaches", "Data systems", "Leadership", "Generative AI", "Ad tech", "Machine learning", "System design", "Shopping experiences", "Scrum" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a17309c58b93c861ed12f65", "title" : "Investigator - PDD Lowell", "company" : "Committee for Public Counsel Services", "industry" : "Government", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Investigator roles in Lowell, MA, adjusted for mid-seniority and the legal industry." }, "location" : "Massachusetts-Lowell", "locations" : [ "Massachusetts-Lowell", "Legal Services", "Committee for Pub Counsel Srvc, Full-time, Full-time" ], "timestamp" : "2026-06-15T07:22:59.968", "fingerprint" : "e59b7665e9879b764d238d34ef141d3275a2b70ee168e465c4d6a173616f74fd", "source" : "taleo", "language" : "en", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1086475", "externalId" : "1086475", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lowell", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6414437,-71.3085329" } ], "locationText" : "Lowell, Massachusetts, United States", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight" ], "hardSkillsList" : [ "Criminal defense investigation", "Trial preparation", "Interviewing witnesses", "Documenting crime scenes", "Writing reports", "Database searching", "Social media searching", "Summoning witnesses", "Exhibit preparation" ], "hardSkills" : [ { "name" : "Criminal defense investigation", "level" : "intermediate" }, { "name" : "Trial preparation", "level" : "intermediate" }, { "name" : "Interviewing witnesses", "level" : "intermediate" }, { "name" : "Documenting crime scenes", "level" : "intermediate" }, { "name" : "Writing reports", "level" : "intermediate" }, { "name" : "Database searching", "level" : "intermediate" }, { "name" : "Social media searching", "level" : "intermediate" }, { "name" : "Summoning witnesses", "level" : "intermediate" }, { "name" : "Exhibit preparation", "level" : "intermediate" } ], "majorSkills" : "Criminal defense investigation, Trial preparation, Witness interviewing", "majorSkillsList" : [ "Criminal defense investigation", "Trial preparation", "Witness interviewing" ], "coreResponsibilities" : "Conduct criminal defense investigations, Aid in trial preparation, Develop defense strategies, Interview witnesses, Document crime scenes, Testify in court, Locate persons, Obtain facts, Inspect records, Write reports, Search databases, Search social media, Summon witnesses, Shepherd witnesses through court, Keep witnesses on call, Provide transportation for clients, Provide transportation for witnesses, Prepare exhibits for trials, Work outside business hours, Participate in training programs", "teamCollaboration" : "Defense team members", "domainKnowledge" : "Criminal law; District Court cases; Superior Court cases; Middlesex County cases; Massachusetts statutes", "domainList" : [ "criminal-law", "district-court-cases", "superior-court-cases", "middlesex-county-cases", "massachusetts-statutes" ], "domainSpecificKnowledge" : [ "Criminal law", "District Court cases", "Superior Court cases", "Middlesex County cases", "Massachusetts statutes" ], "toolProficiency" : [ "Microsoft Office", "Internet databases", "Online searches" ], "communicationSkills" : "Communicate effectively orally", "documentationSkills" : "Writing reports", "continuousLearning" : "Training programs for attorneys", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "Adjusting scheduled hours, Work outside regular business hours, Work on nights, Work on weekends, Dependable vehicle access, Access to home internet", "qualificationsBasic" : "Associate degree, 3 years experience criminal defense investigations, Valid Massachusetts driver's license, Home internet access", "qualificationsPreferred" : "Bachelor's degree substitution", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "********************ALL APPLICANTS MUST APPLY DIRECTLY THROUGH THE CPCS iCIMS WEBSITE. IF YOU APPLY THROUGH MASS CAREERS AND DO NOT COMPLETE THE CPCS iCIMS APPLICATION, YOU WILL NOT BE CONSIDERED FOR THIS POSITION.  PLEASE USE THE FOLLOWING LINK TO APPLY (CUT AND PASTE INTO YOUR BROWSER IF THE EMBEDDED LINK DOES NOT WORK): https://careers-publiccounsel.icims.com/jobs/3101/investigator---pdd-lowell/job ******************** The Public Defender Division of Committee for Public Counsel Services, the Massachusetts public defender agency, is seeking an Investigator for the Lowell Office. Investigators conduct criminal defense investigations and aid in trial preparation for CPCS Trial Attorneys in District, and Superior Court cases in Middlesex County. Investigators are key members of the defense team who assist in developing defense strategies for indigent persons charged with criminal offenses by interviewing witnesses, documenting crime scenes, and later testifying in court. We fight for equal justice and human dignity by supporting our clients in achieving their legal and life goals. We zealously advocate for the rights of individuals and promote just public policy to protect the rights of all. Our Values Courage • Accountability • Respect •   Excellence DIVERSITY AND INCLUSION MISSION STATEMENT CPCS is committed to protecting the fundamental constitutional and human rights of our assigned clients through zealous advocacy, community-oriented defense, and the fullness of excellent legal representation. We are dedicated to building and maintaining strong professional relationships, while striving to accept, listen to and respect the diverse circumstances of each client, as we dedicate ourselves to meeting their individual needs. It is our CPCS mission to achieve these goals, and in furtherance thereof, we embrace and endorse diversity, equity and inclusion as our core values as we maintain a steadfast commitment to: (1) Ensure that CPCS management and staff members represent a broad range of human differences and experience; (2) Provide a work climate that is respectful and supports success; and (3) Promote the dignity and well-being of all staff members. CPCS leadership is responsible for ensuring equity, diversity, and inclusion. The ability to achieve these goals with any level of certainty is ultimately the responsibility of each member of the CPCS community. AGENCY OVERVIEW CPCS is the state agency in Massachusetts responsible for providing an attorney when the state or federal constitution or a state statute requires the appointment of an attorney for a person who cannot afford to retain one. The agency provides representation in criminal, delinquency, youthful offender, family regulation, guardianship, mental health, sexually dangerous person, and sex offender registry cases, as well as in appeals and post-conviction and post-judgment proceedings related to those matters. The clients we represent are diverse across every context imaginable and bring many unique cultural dimensions to the matters we address. This reality creates a critical need for CPCS staff to be culturally competent and able to work well with people of different races, ethnicities, genders and/or sexual orientation identities, abilities, and limited English proficiency, among other protected characteristics. OFFICE OVERVIEW Lowell is the fifth most populous city in Massachusetts. The city is part of the Greater Lowell area also known as the Merrimack Valley region of Massachusetts.  Incorporated in 1826 to serve as a mill town, it became known as the cradle of the American Industrial Revolution because of its textile mills and factories.  During the  Cambodian genocide  (1975–1979), the city took in an influx of refugees, leading to a  Cambodia Town  and America's second largest  Cambodian-American  population. Lowell’s population currently includes a large population from China, the Dominican Republic and Brazil.   Lowell is located 30 minutes north of Boston. The Gallagher Transportation Terminal services the MBTA Commuter Rail lines from Boston as well bus lines and is located across from the new Lowell Justice Center and minutes away from the Church Street office.   POSITION OVERVIEW Public Defender Investigators are key members of the defense team and are responsible for conducting criminal defense investigations and trial preparation for CPCS Trial Attorneys as well as assisting in developing defense strategy for indigent persons charged with criminal offenses in the District, and Superior courts in Middlesex County. Key responsibilities of Investigators are locating and interviewing persons, obtaining facts, inspecting records, writing reports, documenting crime scenes, searching databases and social media, summonsing witnesses to court, shepherding witnesses through the trial court process, and testifying in court. Investigators work under the direction of the Attorney-in-Charge, the Director of Investigations, and the Supervising Investigator and work collaboratively with other staff investigators, Attorneys-in-Charge, and CPCS Administration. RESPONSIBILITIES Locating and interviewing cooperative and, at times, uncooperative witnesses, alleged victims, and clients; Investigating crime scenes, commonly located in neighborhoods that have been designated as ‘high crime areas’ by local law enforcement agencies; Preparing and presenting oral and/or written reports based upon interviews and/or information obtained during the course of the investigation; Conducting surveillance; Measuring, diagramming, and photographing locations where crimes may have taken place and/or any location appropriate to the defense strategy; Utilizing computers for on-line access to the Registry of Motor Vehicles, public records, databases, social networking sites, and various online searches; Keeping accurate records of all phases of the investigation, and being accountable for all aspects of the investigation; Testifying in court as needed; Networking and maintaining personal contact with individuals in various agencies, including, but not limited to, police departments, courts, state agencies, private sector agencies, and others to facilitate access to information necessary to the defense of a case; Reviewing and analyzing police reports and witness statements; Maintaining open lines of communication with attorneys as to investigative updates and case strategy and meeting all deadlines associated with cases; Maintaining professional and productive relationships with attorneys; Evaluating individuals and factual situations to aid the attorney in preparing and presenting a defense to the criminal charges; Advising attorneys regarding changes and developments in investigative tools and techniques; Developing familiarity with Massachusetts criminal laws and rules of criminal procedure; Serving summonses on witnesses and document record keepers; Arranging timely appearance of witnesses at court by keeping them “on call” and when necessary providing transportation for clients and/or witnesses to court or other facilities; Preparing exhibits for trials and hearings; Ability to work independently and outside of normal business hours as needed; Participating in training programs for attorneys, as well as investigators; and, Other duties as assigned. MINIMUM ENTRANCE REQUIREMENTS Associate degree with coursework in criminal justice, forensics, law or related area of study; a minimum of three years of experience in criminal defense investigations or a related investigative field which primarily involves the interviewing of persons, obtaining facts, inspection of records and writing reports; or an equivalent combination of education, experience, and skills; Must possess a valid and active Massachusetts driver’s license and have full access to a dependable automobile; and, Access to home internet access sufficient to work remotely. A bachelor’s degree may be substituted for up to 2 years of investigatory experience. QUALIFICATIONS/SKILLS Experience with Microsoft Office, internet databases, online searches and databases, and camera and video equipment; Strong interpersonal skills and ability to communicate effectively, orally and in writing; Good analytical and time-management skills; Bilingual abilities preferred; and, Adjusting scheduled hours to work outside of regular business hours, e.g., on nights and weekends, is required with some regularity. Ability to be flexible due to unexpected and times sensitive issues requiring immediate attention is essential. The successful candidates will be subject to a background check including CORI and driving history reviews. EEO Statement The Committee for Public Counsel Services (CPCS) is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ethnicity, sex, disability, religion, age, veteran or military status, genetic information, gender identity, or sexual orientation as required by Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act of 1990, and other applicable federal and state statutes and organizational policies. Applicants who have questions about equal employment opportunity or who need reasonable accommodations can contact the Chief Human Resources Officer, Sandra DeBow-Huang, at sdebow@publiccounsel.net ********************ALL APPLICANTS MUST APPLY DIRECTLY THROUGH THE CPCS iCIMS WEBSITE. IF YOU APPLY THROUGH MASS CAREERS AND DO NOT COMPLETE THE CPCS iCIMS APPLICATION, YOU WILL NOT BE CONSIDERED FOR THIS POSITION.  PLEASE USE THE FOLLOWING LINK TO APPLY (CUT AND PASTE INTO YOUR BROWSER IF THE EMBEDDED LINK DOES NOT WORK): https://careers-publiccounsel.icims.com/jobs/3101/investigator---pdd-lowell/job ******************** Investigator - CJC", "summaryDescription" : "Investigator - PDD Lowell at Committee for Public Counsel Services. Skills: Criminal defense investigation, Trial preparation, Witness interviewing. Conduct criminal defense investigations. Aid in trial preparation", "createdAt" : "2026-06-14T01:28:00.156", "lastUpdated" : "2026-06-15T07:22:59.968", "ingestTimestamp" : "2026-06-14T01:28:00.156", "mongoId" : "6a17309c58b93c861ed12f65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Criminal defense investigation", "Trial preparation", "Interviewing witnesses", "Documenting crime scenes", "Writing reports", "Database searching", "Social media searching", "Summoning witnesses", "Exhibit preparation", "Witness interviewing", "Legal analysis", "Risk management", "Compliance oversight", "Criminal law", "District Court cases", "Superior Court cases", "Middlesex County cases", "Massachusetts statutes", "Microsoft Office", "Internet databases", "Online searches" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "69f519c94c40e2acd1eb1bfe", "title" : "Sr. Financial Analyst, Sponsored Products and Brands Finance", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 60000.0, "max" : 128800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65" ], "timestamp" : "2026-06-15T05:14:03.572", "fingerprint" : "b87718796df4c362e547a1b03b9638333f3b51df660eee53f704be3c1e0c147d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408978/apply", "externalId" : "f29b5d25-6d4b-4926-9e38-a94ff1bfe861", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, MATLAB, SQL", "professionalSkills" : [ "Financial modeling", "Risk management", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial analysis, Risk management, Quantitative skills", "majorSkillsList" : [ "Financial analysis", "Risk management", "Quantitative skills" ], "coreResponsibilities" : "Analyze financial data, Develop financial models, Assess financial risks, Monitor market trends, Prepare financial reports, Ensure regulatory compliance, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Finance department", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; SOX; Basel III; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "sox", "basel-iii", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "SOX", "Basel III", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Report writing; Presentation skills", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "3+ years experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA preferred, FRM preferred, Series 7 preferred, Series 63 preferred, Series 65 preferred, Bloomberg Terminal proficiency preferred, Reuters Eikon proficiency preferred, FactSet proficiency preferred, Murex proficiency preferred, Calypso proficiency preferred", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "As a Sr. Financial Analyst in the Sponsored Products finance organization, you will be a key member of the Sponsored Products advertising team. You will work side by side with product and finance leaders to develop business strategies, financial models and analytical insights that influence business decisions. As a finance partner, you will have the opportunity to work with large advertising data sets to influence the long-term evolution of our products and develop insights into various aspects of our business. Key job responsibilities Responsibilities include, but are not limited to: Serve as a finance partner for the SP product and engineering leaders on strategic initiatives, leading planning, business modeling, and financial analysis; Design and develop performance metrics, institute reporting mechanisms, and implement processes to drive insights related to business performance for stakeholders; Facilitate financial and operational metrics review meetings with product and finance leaders and work with business to drive effective execution; Develop financial models for new business initiatives, experimentation, and special projects; Collaborate with business intelligence engineers and data engineers to continually improve and enhance existing reporting and mechanisms, proactively identify performance issues and deep dive to investigate and uncover insights; A day in the life A day in the life of a Sr. Financial Analyst can include - leading a WBR to drive discussions with product teams on business performance, partner with product to investigate KPI trends and prepare a document to be reviewed with senior product leaders, collaborate with BIE and Data Engineering teams to design and implement a new set of metrics in multiple formats (WBR/MBR slides, dashboards) for business stakeholders. About the team Sponsored Products (SP) Advertising is one of the largest and fast growing business segments within Amazon Advertising. The SPB Finance team partners with this business to provide data analytics and reporting, support product initiative launches and performance tracking, drive operational improvements, and deep dive into business performance to provide insights that can enable growth. Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - 4+ years of Accounts Receivable or Account Payable experience - 4+ years of applying key financial performance indicators (KPIs) to analyses experience - 4+ years of creating process improvements with automation and analysis experience - 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience - Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience - Six Sigma Black Belt - Experience with advanced use of SQL for data mining and business intelligence - Experience as a lean sensei, or experience working as a Quality Assurance Engineer Preferred Qualifications: - 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - MBA, or CPA - Knowledge of Tableau - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 73,600.00 - 128,800.00 USD annually USA, WA, SEATTLE - 82,700.00 - 117,100.00 USD annually", "summaryDescription" : "Sr. Financial Analyst, Sponsored Products and Brands Finance at Amazon.com Services LLC. Skills: Financial analysis, Risk management, Quantitative skills. Analyze financial data. Develop financial models", "postedDate" : "2026-06-13T18:24:01.965", "createdAt" : "2026-06-13T18:24:01.965", "lastUpdated" : "2026-06-15T05:14:03.572", "ingestTimestamp" : "2026-06-13T18:24:01.965", "mongoId" : "69f519c94c40e2acd1eb1bfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408978/apply", "salaryAnnualMin" : 60000, "salaryAnnualMax" : 128800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Data analysis", "Statistical modeling", "Risk management", "Quantitative skills", "Financial modeling", "Quantitative analysis", "Financial instruments", "Regulatory frameworks", "Risk methodologies", "SOX", "Basel III", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 42, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69fe94ff4c40e2acd1121a11", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-14T23:42:23.847", "fingerprint" : "2c30339883b805d7f9e6ca996ae5e09485462026977101760f9d9606de995203", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414423/apply", "externalId" : "2f655fcc-f1c8-4196-8559-1eb8f5c2a307", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Generative AI, Large Language Models, Distributed systems, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Data-driven decision making", "Statistical methods" ], "softSkillsList" : [ "Analytical", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Software engineering, Cloud technologies", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Software engineering", "Cloud technologies" ], "coreResponsibilities" : "Design and develop SPB Agent platform, Optimize for operation costs at scale, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches to conversational AI, Shape future of business customer connection, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect and build AI features", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Generative AI; Large Language Models; AI technologies; Advertising landscape; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "ai-technologies", "advertising-landscape", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AI technologies", "Advertising landscape", "AI trust and safety" ], "innovationCreativity" : "Creative problem-solver; Innovators", "problemSolvingSkills" : "Creative problem-solver; Complex challenges", "qualificationsBasic" : "3+ years professional software development experience, 2+ years system design or architecture experience, Experience programming with at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science, Proven experience shipping Gen AI features at scale, Deep understanding of AI trust and safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop the SPB Agent platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands (SPB) Agent team, you will architect and build the next-generation AI features that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our SPB Agent team. The team owns SPB Agent, which integrates and powers reasoning behind agentic experiences in the Ads Console, Sales, and Seller Central. Examples of experiences that leverage the SPB Agent include but not limited to: 1) an AI Campaign Overview widget on an advertiser's Campaign Detail that dynamically adapts its narrative based on what the performance and campaign data Page 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales teams, grounded in each advertiser's stated objectives, product focus areas, and guardrails captured through their sales interaction Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Software engineering, Cloud technologies. Design and develop SPB Agent platform. 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We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The Amazon Brand Store team (such as www.amazon.com/lego) within Sponsored Products and Brands is a core product offering in the Amazon Advertising portfolio. The brand’s store are their dedicated place on Amazon to differentiate, grow sales, and build loyalty with millions of shoppers. Our mission is to empower brands of all sizes to tell their story in their own unique voice to consumers. We help brands create engaging shopping experiences that assist shoppers in discovering and evaluating them as part of their purchase decisions. We succeed when we are both useful to shoppers and when brands can attract and retain shopper’s attention using our products. A cool case study on brand stores can be found here: https://advertising.amazon.com/library/case-studies/nespresso-brand-store-increases-shopper-engagement. We are looking for a Senior Applied Scientist to lead the generation of data-driven insights that bring long-term value to brands, as well as the ideation and creation of personalized shopping experiences for brand stores through industry-leading generative AI technologies. In this role, you will influence our team's science and business strategy with your expertise and deep business understanding. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state-of-the-art machine learning research. Impact and Career Growth You will invent new experiences and influence customer-facing shopping experiences to help brands grow their retail businesses. This is your opportunity to work within the fastest-growing businesses across all of Amazon! You'll define a long-term science vision for AI-driven brand shopping experiences, working backwards from our customers' needs and translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Key job responsibilities As a Senior Applied Scientist on this team, you will: - Be the technical leader in Machine Learning; lead efforts within this team and across other teams. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Recruit Applied Scientists to the team and provide mentorship. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine Learning, Applied research, Data science. Lead ML efforts. Perform analysis and modeling", "postedDate" : "2026-06-13T01:32:28.759", "createdAt" : "2026-06-13T01:32:28.759", "lastUpdated" : "2026-06-15T01:43:22.646", "ingestTimestamp" : "2026-06-13T01:32:28.759", "mongoId" : "69164da570f0b99d586f3210", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122587/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Modeling", "Machine learning", "Model validation", "Statistical analysis", "Leadership", "Mentorship", "Machine Learning", "Applied research", "Data science", "Business strategy", "Business understanding", "Product focus", "Generative AI", "Advertising landscape", "Brand stores", "Personalized shopping experiences", "Hadoop", "Spark" ], "skillCount" : 19, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69dde4492beec4dd3d9a332a", "title" : "Group Lead for the Construction and Field Support Section - Bridge Division", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 103000.0, "max" : 139550.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Yearly", "Exempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

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The Construction and Maintenance Branch provides bridge construction guidance, performs structural analyses and designs solutions for bridge repair/rehabilitation, and trains districts to perform bridge repairs with in-house personnel. This employee will lead a group of engineers and construction inspectors in providing construction and field related support for bridge projects across the state. This employee will be based in Austin, TX but is expected to travel statewide as job duties require. Texas’ inventory of over 57,000 bridges is 28,000 more than any other state, and more than the combined inventories of 17 states. For more information on the Texas Bridge Program, go to https://www.txdot.gov/government/reports/texas-bridges.html. If you are looking for a career as part of a diverse workforce of over 13,000 employees statewide and you have the technical and leadership skills to help lead the largest bridge program in the country, let’s talk! The work location is 6230 E Stassney Lane, Austin, TX 78744 Transportation Engineer III: B26: $103,000 – $126,000 yearly Transportation Engineer IV: B27: $107,000 - $133,000 yearly Transportation Engineer V: B28: $109,650 - $139,550 yearly 103,000.00 139,550.00", "summaryDescription" : "Group Lead for the Construction and Field Support Section - Bridge Division at TxDOT. Skills: Bridge construction, Field support, Engineering leadership. Lead engineers and inspectors. Provide construction support", "createdAt" : "2026-06-14T20:47:58.223", "lastUpdated" : "2026-06-16T00:17:58.498", "ingestTimestamp" : "2026-06-14T20:47:58.223", "mongoId" : "69dde4492beec4dd3d9a332a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103000, "salaryAnnualMax" : 139550, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Structural engineering", "Construction inspection", "Leadership", "Bridge construction", "Field support", "Engineering leadership", "Construction management", "Texas Bridge Program", "Professional Engineer (PE) license" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e4ce260f92cbf8eb9a", "title" : "Senior Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:32:18.150", "fingerprint" : "80d691f43f0a1746713e43fe7f26338fdfe376c1055c12dd5b67fbc7b5c255ef", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099209/apply", "externalId" : "95d0f5e4-2523-4e2a-be27-db3062755b3a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, AI", "professionalSkills" : [ "System design", "Architecture design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Video ad optimization" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Video ad optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Advertising technology, System architecture", "majorSkillsList" : [ "Generative AI", "Advertising technology", "System architecture" ], "coreResponsibilities" : "Lead feature development, Architect scalable solutions, Optimize video ad performance, Integrate ad experiences, Mentor junior developers", "teamCollaboration" : "Engineering teams; Scientists; Designers", "domainKnowledge" : "Advertising landscape; Advertising lifecycle; Video serving; Video rendering", "domainList" : [ "advertising-landscape", "advertising-lifecycle", "video-serving", "video-rendering" ], "domainSpecificKnowledge" : [ "Advertising landscape", "Advertising lifecycle", "Video serving", "Video rendering" ], "continuousLearning" : "Culture of learning", "innovationCreativity" : "Innovative features; Re-inventing advertising experiences", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading system design, Mentor or tech lead experience, AI solution development track record", "qualificationsPreferred" : "5+ years full SDLC experience, Master's degree in computer science, Experience leading system architecture, Experience optimizing video serving, Experience optimizing video rendering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities * Lead the development of innovative features for Sponsored Brands Video, enhancing our online shopping experience. * Architect scalable solutions that can handle our evolving ad creatives and high traffic volumes. * Optimize video ad performance. * Work with page owners to seamlessly integrate ad experiences into Amazon Retail. * Mentor junior developers and contribute to our culture of learning and growth. A day in the life As a Senior Software Development Engineer on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide. About the team The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping beautiful, delightful, & personal. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Demonstrated track record of innovative AI solution development. Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience optimizing video serving and rendering. 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 $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Advertising technology, System architecture. Lead feature development. 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Science teams; Engineering teams; Design teams; Operations teams; Legal teams; Customer service teams; Executive teams", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Sponsored Products; Sponsored Brands; Generative AI; Advertising landscape; Advertising lifecycle; Marketplace ecosystem; Amazon Ads", "domainList" : [ "sponsored-products", "sponsored-brands", "generative-ai", "advertising-landscape", "advertising-lifecycle", "marketplace-ecosystem", "amazon-ads" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Generative AI", "Advertising landscape", "Advertising lifecycle", "Marketplace ecosystem", "Amazon Ads" ], "toolProficiency" : [ "Tableau", "Qlikview", "QuickSight" ], "innovationCreativity" : "Invent new solutions; Experiment with new possibilities", "problemSolvingSkills" : "Solving complex challenges; Analytical skills", "outcomesObjectives" : "Improve campaign performance; Drive new growth areas; Improve overall experience; Drive brand discovery; Drive sales", "qualificationsBasic" : "2+ years end to end product delivery, 5+ years technical product management, Bachelor's degree, Contribute to engineering discussions, Experience with feature delivery, Experience owning roadmap strategy, Experience managing technical products, Representing customer and stakeholder needs", "qualificationsPreferred" : "Experience using analytical tools, Experience building new tools, Experience in advertising, Experience with AI/ML technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities Key job responsibilities Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build products that leverage generative models to improve campaign performance. You invent and design new solutions for scientifically-complex problem areas in new business initiatives. Identify new opportunities and write new proposals to help us drive new growth areas for our advertisers. Collaborate with cross-functional teams on fast-paced, challenging projects, experimenting with new possibilities and taking calculated risks. Develop product strategies, roadmaps, and detailed requirements to execute your vision. Work closely with science, engineering, design, operations, legal, customer service, and executive teams to ensure seamless execution. Leverage your analytical skills and work independently, with high standards. Throughout, you will internalize Amazon’s Leadership Principles, and live those into everyday practices to guide your programs to success. About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit. Basic Qualifications: - 2+ years of end to end product delivery experience - 5+ years of technical product or program management experience - Bachelor's degree - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications: - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools - Experience in advertising - Experience with AI/ML technologies 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 $136,100/year in our lowest geographic market up to $235,200/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" : "Senior Product Manager - Tech, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Product management, Generative AI, Advertising products. Develop AI solutions. Build products leveraging generative models", "postedDate" : "2026-06-13T15:54:07.540", "createdAt" : "2026-06-13T15:54:07.540", "lastUpdated" : "2026-06-15T02:06:25.484", "ingestTimestamp" : "2026-06-13T15:54:07.540", "mongoId" : "68e6b1d070f0b99d58d664d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102681/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product delivery", "Roadmap strategy", "Technical product management", "Feature delivery", "Analytical skills", "Product management", "Generative AI", "Advertising products", "Product strategy", "Roadmap development", "Requirements definition", "New business initiatives", "Campaign performance", "Roadmap definition", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Advertising lifecycle", "Marketplace ecosystem", "Amazon Ads", "Tableau", "Qlikview", "QuickSight" ], "skillCount" : 23, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6931903170f0b99d580879b6", "title" : "Senior HR Investigator", "company" : "Amazon Australia", "industry" : "Human Resources, global corporate", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior HR Investigator in Sydney, Australia, adjusted for Amazon's size and the e-commerce industry." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T03:08:31.553", "fingerprint" : "f756df8d94b7a3c80117d52946907c06a133e0d15e1cc5c4eb98ecc67a57b7de", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137229/apply", "externalId" : "539dcda7-7d4a-42e8-9f88-23bd266ecf86", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Employee relations", "Workplace investigations", "Case management", "Policy analysis", "Strategic solutions", "Continuous improvement", "Stakeholder management", "Organizational dynamics", "Policy improvements", "Professional integrity" ], "hardSkillsList" : [ "Interviewing", "Evidence analysis", "Report preparation", "Data analysis", "Case data analysis", "Investigative documentation" ], "softSkillsList" : [ "Leadership", "Judgment" ], "hardSkills" : [ { "name" : "Interviewing", "level" : "intermediate" }, { "name" : "Evidence analysis", "level" : "intermediate" }, { "name" : "Report preparation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Case data analysis", "level" : "intermediate" }, { "name" : "Investigative documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" } ], "majorSkills" : "Employee relations, Workplace investigations, Case management", "majorSkillsList" : [ "Employee relations", "Workplace investigations", "Case management" ], "coreResponsibilities" : "Lead complex workplace investigations, Conduct thorough interviews, Analyze evidence, Prepare comprehensive reports, Recommend appropriate actions, Manage cases independently, Analyze case data, Identify trends, Develop strategic solutions, Prevent future incidents, Drive continuous improvement initiatives, Partner effectively with HR, Partner effectively with Legal, Partner effectively with Leadership, Build trust, Manage sensitive conversations, Deliver results under tight deadlines, Handle time-sensitive employee relations matters, Navigate complex stakeholder relationships, Navigate organizational dynamics, Drive proactive solutions, Analyze patterns in casework, Implement preventive measures, Contribute to policy improvements, Lead best practice investigation processes, Ensure compliance with company policies, Maintain confidentiality, Maintain professional integrity", "teamCollaboration" : "Global peers; Field PXT partners; Relevant support teams; HR teams; Legal teams; Leadership teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Australian employment law", "domainList" : [ "australian-employment-law" ], "domainSpecificKnowledge" : [ "Australian employment law" ], "communicationSkills" : "Sensitive conversations", "documentationSkills" : "Investigative documentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent, 5+ years human resource generalist experience, 5+ years HR investigations specialist experience, Experience in conducting investigative fieldwork, Experience supporting hourly employee client groups, Experience in call center environments, Experience in distribution center environments, Experience in manufacturing environments, Understanding of Australian employment law framework", "qualificationsPreferred" : "Advanced degree or JD, Superior performance in previous roles, Career development evidence", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Our businesses continues to grow and expand because of our customer focus, innovative technologies, and world class operations. Driving all of our businesses are talented employees who are strong owners, insist on the highest standards, and obsess over our customers. When employees are raising concerns, we owe them a fair, effective, and timely management of their case. We are looking for a Senior HR Investigator to lead complex ER and HR workplace investigations and address escalations concerning processes and policies across Amazon's Australia Operations network. In this newly created role, you will be the primary investigator for Australian operations, focusing on solving highly sensitive and ambiguous employee relations issues that might have significant business, legal, and reputational implications. With Australia's growing operations footprint, including fulfillment centers, sortation centers, delivery stations, and corporate offices, this role will be crucial in supporting our Australian workforce. The Senior HR Investigator will own cases independently and will work extensively with global peers, field PXT partners, and other relevant support teams to ensure the execution of intentional and thorough investigations primarily in Australia, with occasional support to other countries. Key job responsibilities • Lead complex workplace investigations, including conducting thorough interviews, analyzing evidence, preparing comprehensive reports, and recommending appropriate actions - all while managing cases independently from intake to closure • Analyze case data to identify trends, develop strategic solutions to prevent future incidents, and drive continuous improvement initiatives across the organization • Partner effectively with HR, Legal and Leadership teams at all levels, building trust and managing sensitive conversations while delivering results under tight deadlines • Demonstrate exceptional project management skills by balancing multiple investigations and strategic initiatives while maintaining high standards of quality and professionalism • Handle time-sensitive employee relations matters requiring immediate attention, while navigating complex stakeholder relationships and organizational dynamics • Drive proactive solutions by analyzing patterns in casework, implementing preventive measures, and contributing to policy improvements • Lead best practice investigation processes, ensuring compliance with company policies while maintaining confidentiality and professional integrity Basic Qualifications: - Bachelor's degree or equivalent in Business, Program Management, Human Resources, Employment Law, Computer Science, Finance, Computer Information Systems, Engineering, Operations Research or a related field - 5+ years human resource generalist experience or HR investigations specialist experience - Experience in conducting investigative fieldwork, including complainant, witness, and subject employee interviews, investigative data analysis, and production of investigative documentation - Experience supporting hourly employee client groups - Experience in call center, distribution center, or manufacturing environments - Understanding of Australian employment law framework Preferred Qualifications: - Advanced degree, JD, or other specialized training in labor/employee relations - Evidence of career development and/or evidence of superior performance in previous roles - Ability to provide leadership, work collaboratively on teams, and consult effectively and independently with all levels and functional areas of an organization. - Ability to influence and partner with different levels of the organization to achieve results - Ability to apply high judgment and consider the context and totality of the employee experience - Ability to identify root cause and pursue resolution of both acute and systemic defects Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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.", "summaryDescription" : "Senior HR Investigator at Amazon Australia. Skills: Employee relations, Workplace investigations, Case management. Lead complex workplace investigations. Conduct thorough interviews", "postedDate" : "2026-06-13T08:56:59.134", "createdAt" : "2026-06-13T08:56:59.134", "lastUpdated" : "2026-06-15T03:08:31.553", "ingestTimestamp" : "2026-06-13T08:56:59.134", "mongoId" : "6931903170f0b99d580879b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137229/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Interviewing", "Evidence analysis", "Report preparation", "Data analysis", "Case data analysis", "Investigative documentation", "Leadership", "Judgment", "Employee relations", "Workplace investigations", "Case management", "Policy analysis", "Strategic solutions", "Continuous improvement", "Stakeholder management", "Organizational dynamics", "Policy improvements", "Professional integrity", "Project management", "Australian employment law" ], "skillCount" : 20, "jobCategory" : "human-resources", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164da670f0b99d586f327e", "title" : "Software Development Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:57:31.509", "fingerprint" : "62380f2d9cebb7ad6b296892feae2fe6bedcf0fe082d61c40d484c1fb36c4056", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122540/apply", "externalId" : "a29f43b2-4fa9-4cbc-bc06-aac7535830bf", "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" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Machine Learning, Gen AI", "professionalSkills" : [ "System design", "Roadmap planning", "Career development" ], "hardSkillsList" : [ "Software development", "AI technologies" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine Learning, Gen AI, Software development", "majorSkillsList" : [ "Machine Learning", "Gen AI", "Software development" ], "coreResponsibilities" : "Manage cross-functional team, Lead ML Engineers, Lead Software Engineers, Lead Applied Scientists, Develop engineering roadmaps, Run annual planning, Foster cross-team collaboration, Hire top talent, Develop top talent, Provide technical guidance, Provide career guidance, Stay informed about system designs, Bring insights to team", "teamCollaboration" : "Cross-functional team; Cross-team collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Advertising business; Generative AI", "domainList" : [ "advertising-business", "generative-ai" ], "domainSpecificKnowledge" : [ "Advertising business", "Generative AI" ], "communicationSkills" : "Technical designs; Product strategy", "innovationCreativity" : "Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 3+ years system design/architecture, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting and hiring engineers, Experience mentoring/coaching engineers, Experience managing teams of engineers, Experience with AI/ML technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Software Development Manager, you will: * Directly manage and lead a cross-functional team of Machine Learning Engineers, Software Development Engineers and Applied Scientists. * Develop engineering roadmaps for SPB ads with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration for advertising applications. * Hire and develop top talent, provide technical and career development guidance to engineers within and across the organization. * Stay informed about recent system designs that are pertinent to the SPB advertising business and bring those insights with the team. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience with AI/ML technologies 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 $166,400/year in our lowest geographic market up to $287,700/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" : "Software Development Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine Learning, Gen AI, Software development. Manage cross-functional team. Lead ML Engineers", "postedDate" : "2026-06-12T23:41:22.380", "createdAt" : "2026-06-12T23:41:22.380", "lastUpdated" : "2026-06-15T00:57:31.509", "ingestTimestamp" : "2026-06-12T23:41:22.380", "mongoId" : "69164da670f0b99d586f327e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122540/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "AI technologies", "Leadership", "Machine Learning", "Gen AI", "System design", "Roadmap planning", "Career development", "Advertising business", "Generative AI" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2c714774d8ee00a092dcd4", "title" : "Case for Support Lead", "company" : "Marie Curie", "industry" : "Non-Profit Organization Management", "salary" : { "min" : 36900.0, "max" : 39900.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London, United Kingdom", "locations" : [ "London", "United Kingdom" ], "timestamp" : "2026-06-15T07:48:15.474", "fingerprint" : "49bad33ff0a8d98e14395456e5ffc74fcc841f2634d8bf1f0233071107091a1e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MarieCurie1/3743990013600986-case-for-support-lead", "externalId" : "3743990013600986", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "professionalSkills" : [ "Cause-led communications", "Evaluation work", "Financial literacy" ], "hardSkillsList" : [ "Interpreting data", "Interpreting budget information" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Interpreting data", "level" : "intermediate" }, { "name" : "Interpreting budget information", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Case for Support, Fundraising campaigns, Narrative development", "majorSkillsList" : [ "Case for Support", "Fundraising campaigns", "Narrative development" ], "coreResponsibilities" : "Create compelling case for support narratives, Articulate need, solution, and impact, Collaborate with service teams, Collaborate with policy teams, Collaborate with research teams, Gather insights for funding applications, Gather insights for campaigns, Develop compelling propositions, Provide accurate, self-service information, Write narratives, Interpret data, Delivery of online Discovery Sessions, Improve understanding of our cause", "teamCollaboration" : "Service teams; Policy teams; Research teams; High-value income streams; Trusts & Foundations; Philanthropy teams; Corporate teams; Fundraising teams", "domainKnowledge" : "End-of-life care; Charity sector; Non-profit fundraising; Clinical services; Research; Policy work", "domainList" : [ "end-of-life-care", "charity-sector", "non-profit-fundraising", "clinical-services", "research", "policy-work" ], "domainSpecificKnowledge" : [ "End-of-life care", "Charity sector", "Non-profit fundraising", "Clinical services", "Research", "Policy work" ], "communicationSkills" : "Inspire others; Influence opinions; Gain respect; Articulate compellingly", "continuousLearning" : "Professional development; Training programmes", "innovationCreativity" : "Innovative propositions", "problemSolvingSkills" : "Understanding complex information; Interpreting complex data", "specialRequirements" : "Occasional travel required, Remote based within UK", "outcomesObjectives" : "Maximize impact; Create meaningful connections; Drive mission forward; Support fundraising growth; Achieve transformational impact", "qualificationsBasic" : "Proven experience in fundraising, Proven experience in service delivery, Proven experience in cause-led communications, Proven experience in evaluation work, Creative thinker, Independent, autonomous approach, Skilled at understanding complex information, Skilled at interpreting complex data, Articulate complex information compellingly, Articulate complex data compellingly, Excellent people skills, Ability to integrate quickly, Financial literacy, Experience interpreting budget information", "qualificationsPreferred" : "Experience with Trusts & Foundations, Experience with Philanthropy, Experience with Corporate teams", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Marie Curie is the UK’s leading end-of-life charity. We are the largest non-NHS provider of end-of-life care in the UK, the only provider across all 4 nations, delivering community nursing and hospice care across the country, while providing information and support on all aspects of dying, death, and bereavement. Our leading research pushes the boundaries of what we know about good end-of-life, and our campaigns fight for a world where everyone gets to have the best possible quality of life while living with an illness, they’re likely to die from. Team and role overview At Marie Curie, our Case for Support team plays a vital role in the delivery of our strategy and supporting fundraising growth, by creating compelling cases for support and innovative propositions for our highest-value campaigns. Working alongside passionate, purpose-driven professionals, you’ll help us maximize impact and create meaningful connections with our supporters. As a Case for Support Lead, you will be instrumental in developing impactful narratives that resonate with our supporters and drive our mission forward. Your work will provide essential, up-to-date information about our clinical services, research and policy work. This will support all fundraising teams to build accurate and inspiring fundraising campaigns. By identifying funding opportunities and crafting tailored cases for support, you’ll ensure that our high-value fundraising teams continue to achieve transformational impact. What you will be doing: * Create compelling case for support narratives about all aspects of Marie Curie’s work, articulating the need, solution, and impact for various audiences. * Collaborate with service, policy, and research teams to gain a deep understanding of their work and goals, gathering insights to support funding applications and campaigns. * Work closely with high-value income streams, supporting Trusts & Foundations, Philanthropy and Corporate teams by coordinating with internal stakeholders to develop compelling propositions. * Provide all fundraising teams with accurate, self-service information, including writing narratives and interpreting data. * Delivery of online Discovery Sessions with fundraising teams to improve their understanding of our cause. What we are looking for: * Proven experience in fundraising, service delivery, cause-led communications, or evaluation work. * Creative thinker with an independent, autonomous approach to work. * Strong communication skills to inspire others and positively influence opinions, with the ability to gain respect at all levels and drive practical, meaningful change. * Skilled at understanding and interpreting complex information and data and articulating it in a compelling way, both in writing and verbally. * Excellent people skills with a proven ability to integrate quickly into complex organizations. * Financial literacy with experience in interpreting budget information. Please see the full job description [click here](https://mariecurie.pagetiger.com/case-for-support-lead) ## Additional Information Application & Interview Process * As part of your online application, you will be asked for a CV and supplementary details. Please review both the advert and job description and outline your most relevant skills, experience and knowledge for the role. * Close date for applications but may close early: 2nd July 2026 * Interviews due to take place 9th and 13th July2026 Important we encourage you to apply early as we may close the job advert sooner after receiving a sufficient number of suitable applications. Salary: £36,900 to £39,900 Contract: Permanent Full-Time 35 hours per week Based: Remote based within the United Kingdom, occasional travel may be required travel costs covered Benefits you’ll LOVE: * Flexible working. We’re happy to discuss flexible working at the interview stage. * 25 days annual leave (exclusive of Bank Holidays) * Marie Curie Group Personal Pension Scheme (we will match your contribution up to 7.5%) * Loan schemes for bikes; computers and season tickets * Continuous professional development opportunities. * Industry-leading training programmes * Wellbeing and Employee Assistance Programmes * Enhanced bereavement, family friendly and sickness benefits * Access to Blue Light Card membership * Subsidised Eye Care At Marie Curie, our values are central to everything we do. They guide how we care for people, how we work together, and how we make decisions every day. We are committed to creating a workplace that is safe for everyone — staff and volunteers alike — supportive, inclusive and rewarding. We take stringent steps to ensure that anyone who joins our organisation are suitable for their roles and are committed to safeguarding all our people from harm. We actively consider our impact on the planet, embedding sustainability into everyday decisions to create a lasting, positive difference for the individuals we care for and the world we share. We believe everyone should have the opportunity to thrive and fulfil their potential. Marie Curie is deeply committed to diversity, equity and inclusion, recognising both the social justice imperative and the strength a diverse workforce brings. We actively encourage applications from people of all cultures, perspectives and lived experiences. We are happy to make reasonable adjustments throughout the recruitment process. If you require any support, please contact us at [recruitment@mariecurie.org.uk](mailto:recruitment@mariecurie.org.uk). Every application we receive is personally reviewed by a member of our Talent Acquisition team, and in return, we ask that your application authentically reflects you — your experience, perspective and voice.", "summaryDescription" : "Case for Support Lead at Marie Curie. Skills: Case for Support, Fundraising campaigns, Narrative development. Create compelling case for support narratives. Articulate need, solution, and impact", "postedDate" : "2026-06-12T16:27:31.000", "createdAt" : "2026-06-13T21:33:25.997", "lastUpdated" : "2026-06-15T07:48:15.474", "ingestTimestamp" : "2026-06-13T21:33:25.997", "mongoId" : "6a2c714774d8ee00a092dcd4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Interpreting data", "Interpreting budget information", "Leadership", "Critical thinking", "Case for Support", "Fundraising campaigns", "Narrative development", "Cause-led communications", "Evaluation work", "Financial literacy", "End-of-life care", "Charity sector", "Non-profit fundraising", "Clinical services", "Research", "Policy work" ], "skillCount" : 16, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145b74d8ee00a00bb5a7", "title" : "Sr. Technical Program Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, Advertising", "salary" : { "min" : 148700.0, "max" : 201200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:47:54.961", "fingerprint" : "c95365fe696f492e2711bd3917dcdbeb6e5dde5c121d5be28ba06d1ceeb5ce81", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440611/apply", "externalId" : "b1cf8fea-9efa-4368-990e-9b40a955f4d5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI", "professionalSkills" : [ "System design", "Business judgment", "Technical judgment" ], "hardSkillsList" : [ "Risk assessment" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" } ], "majorSkills" : "Technical program management, Generative AI, System design", "majorSkillsList" : [ "Technical program management", "Generative AI", "System design" ], "coreResponsibilities" : "Lead delivery of initiatives, Develop product strategies, Develop roadmaps, Develop detailed requirements, Assess risk, Drive clarity, Create sense of urgency, Define mechanisms to optimize output, Define mechanisms to optimize collaboration, Develop team’s technical strategy", "teamCollaboration" : "Cross-functional teams; Multiple Amazon organizations; Engineering; Product; Finance; Business intelligence", "projectManagementSkills" : [ "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management" ], "domainKnowledge" : "Conversational AI; Generative AI; Advertising technology; Multi-turn interfaces", "domainList" : [ "conversational-ai", "generative-ai", "advertising-technology", "multi-turn-interfaces" ], "domainSpecificKnowledge" : [ "Conversational AI", "Generative AI", "Advertising technology", "Multi-turn interfaces" ], "innovationCreativity" : "Invent; Design; Build", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years technical program management, 3+ years software development, 5+ years TPM with engineering teams, Manage programs across cross functional teams, Build processes and coordinate release schedules, Build and evaluate system-level technical design, Develop and execute product and technical roadmaps", "qualificationsPreferred" : "5+ years project management disciplines, Define KPIs/SLAs for multi-million dollar businesses, Report to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies - revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle – from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields. As a Sr TPM you will collaborate with partners across numerous domains including engineering, product, finance, business intelligence, and more. You will be responsible for managing multiple projects, while working across teams within the greater Sponsored Products organization. You will not only help us deliver on our goals, but will also help shape our engineering vision and roadmap through active collaboration with our leadership team. Our ideal candidate will be highly self-driven, have excellent communication skills, and possess a strong technical background focused on problem solving and system design. If you are an individual who is looking for an opportunity to lead, invent, design and build, while making a huge impact on Amazon and its customers, this is the perfect time to jump onboard. Key job responsibilities - Successfully lead delivery of large, high-impact initiatives across multiple teams and organizations - Work with stakeholders and senior leadership to develop product strategies, roadmaps, and detailed requirements to execute on our vision - Bring strong, data-driven business and technical judgment to decisions. Assess risk, drive clarity, and create the correct sense of urgency for delivery - Define mechanism to optimize the output and collaboration within the team and with partners - Help develop the team’s long-term technical strategy based on our business goals Basic Qualifications: - 5+ years of technical product or program management experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience building and evaluating system-level technical design - Experience developing and executing/delivering product and technical roadmaps Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 163,600.00 - 221,300.00 USD annually USA, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually", "summaryDescription" : "Sr. Technical Program Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Technical program management, Generative AI, System design. Lead delivery of initiatives. 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"id" : "6931903470f0b99d58087a7f", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:17:27.911", "fingerprint" : "5fd2d0da0c7f588f48a68b9c00d19940dd8d24874fcc07614c46c148c45535d4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136770/apply", "externalId" : "532bdb05-2271-4c29-8949-512084027c14", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Gen AI, ML, Generative AI, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Resource utilization optimization", "Token consumption optimization", "Memory footprint optimization", "AI-driven solutions integration", "Conversational AI", "Natural language interactions", "AI-powered advertising", "Scalable systems", "Data points processing", "Hyper-personalized ad experiences", "Agentic experiences", "Agent-to-agent communication", "Agent state management", "Event-driven integration pipelines", "Infrastructure governance", "Access-control frameworks", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Performance optimization", "Telemetry-driven insights", "External developer exposure", "Partner system integration", "Personalized insights", "Advertiser catalog accounting", "Performance metrics accounting", "Advertiser Console personalization", "Selling Partner guidance", "Autonomous decisions", "Action execution" ], "hardSkillsList" : [ "Statistical methods", "Rational decision-making", "Process improvement", "Tool improvement", "Problem-solving" ], "softSkillsList" : [ "Analytical", "Team obsessed", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Rational decision-making", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Tool improvement", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Team obsessed" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Distributed systems, Cloud technologies", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize for operation costs, Optimize resource utilization, Optimize token consumption, Optimize memory footprint, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches to conversational AI, Pioneer new approaches to natural language interactions, Shape the future of business connections, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect AI platform, Build AI platform, Provide personalization experiences, Provide intelligent advertising experiences, Own foundational infrastructure, Provide unified entry point, Design scalable APIs, Maintain scalable APIs, Design orchestration layers, Maintain orchestration layers, Allow agents to connect reliably, Build durable agent-to-agent communication protocols, Build discovery protocols, Build negotiation protocols, Build task lifecycle management, Build agent management frameworks, Build state management frameworks, Persist context across workflows, Deliver streaming integration pipelines, Deliver event-driven integration pipelines, Support real-time customizations, Support integrations with 1P experiences, Own infrastructure governance layers, Implement standardized access-control frameworks, Implement data masking policies, Implement data retention policies, Implement rate-limiting, Implement audit logging, Implement safety guardrails, Ensure predictable agent behavior, Ensure compliant agent behavior, Invest in observability platforms, Optimize orchestration layers, Provide telemetry-driven insights, Extend platform to external developers, Extend platform to partners, Expose systems safely, Empower partners to create experiences, Inherit governance guarantees, Inherit security guarantees, Inherit scaling guarantees, Provide personalized insights, Provide guidance, Account for advertiser's product catalog, Account for performance metrics, Account for relevant signals, Tailor full page experience, Update individual widgets, Provide recommendations, Provide filtering capabilities, Provide AI companion experience, Provide interactive experience, Provide automated experience, Provide data-backed guidance, Make autonomous decisions, Execute actions on behalf of sellers", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions; Internal agentic applications; External agentic applications; First-party systems; Partner systems", "projectManagementSkills" : [ "Full software development life cycle" ], "domainKnowledge" : "Generative AI; Large Language Models; Distributed systems; Cloud technologies; Advertising lifecycle; AI trust and safety; Agentic experiences; Agent communication protocols; Agent state management; Event-driven architectures; Infrastructure governance; Data masking; Rate-limiting; Audit logging; Safety guardrails; Observability platforms; Personalized advertising; Advertiser catalog; Performance metrics", "domainList" : [ "generative-ai", "large-language-models", "distributed-systems", "cloud-technologies", "advertising-lifecycle", "ai-trust-and-safety", "agentic-experiences", "agent-communication-protocols", "agent-state-management", "event-driven-architectures", "infrastructure-governance", "data-masking", "rate-limiting", "audit-logging", "safety-guardrails", "observability-platforms", "personalized-advertising", "advertiser-catalog", "performance-metrics" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies", "Advertising lifecycle", "AI trust and safety", "Agentic experiences", "Agent communication protocols", "Agent state management", "Event-driven architectures", "Infrastructure governance", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Personalized advertising", "Advertiser catalog", "Performance metrics" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative atmosphere; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making; Explore new problem spaces", "outcomesObjectives" : "Provide consistent outcomes; Provide well-reasoned outcomes; Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "Software engineering skills, Experience in distributed systems, Experience in cloud technologies, Creative problem-solver, Track record of delivering innovative solutions, Experience programming with at least one software programming language", "qualificationsPreferred" : "3+ years full software development life cycle, Coding standards experience, Code reviews experience, Source control management experience, Build processes experience, Testing experience, Operations experience, Bachelor's degree in computer science, Proven experience shipping Gen AI-powered features at scale, Deep understanding of AI trust and safety considerations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Distributed systems, Cloud technologies. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T01:46:36.935", "createdAt" : "2026-06-13T01:46:36.935", "lastUpdated" : "2026-06-15T01:17:27.911", "ingestTimestamp" : "2026-06-13T01:46:36.935", "mongoId" : "6931903470f0b99d58087a7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136770/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Rational decision-making", "Process improvement", "Tool improvement", "Problem-solving", "Analytical", "Team obsessed", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies", "System design", "Resource utilization optimization", "Token consumption optimization", "Memory footprint optimization", "AI-driven solutions integration", "Conversational AI", "Natural language interactions", "AI-powered advertising", "Scalable systems", "Data points processing", "Hyper-personalized ad experiences", "Agentic experiences", "Agent-to-agent communication", "Agent state management", "Event-driven integration pipelines", "Infrastructure governance", "Access-control frameworks", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Performance optimization", "Telemetry-driven insights", "External developer exposure", "Partner system integration", "Personalized insights", "Advertiser catalog accounting", "Performance metrics accounting", "Advertiser Console personalization", "Selling Partner guidance", "Autonomous decisions", "Action execution", "Full software development life cycle", "Advertising lifecycle", "AI trust and safety", "Agent communication protocols", "Event-driven architectures", "Personalized advertising", "Advertiser catalog", "Performance metrics" ], "skillCount" : 54, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a305b87f292fd229cf5ebc1", "title" : "Director for Business Development and Sales", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Business Development and Sales in Eagan, United States, adjusted for seniority and full-time employment." }, "location" : "Eagan, MN", "locations" : [ "Eagan, MN" ], "timestamp" : "2026-06-16T08:02:54.268", "fingerprint" : "d9a0d458e382774db383a084593c147817788055e9d38d615150bd866e3bd867", "source" : "jazzhr", "language" : "en", "externalId" : "sfLZGQ5Ka9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Eagan", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.8181730,-93.1659179" } ], "locationText" : "Eagan, Minnesota, United States", "experienceLevel" : "Director", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Director for Business Development and Sales", "createdAt" : "2026-06-15T22:27:42.007", "lastUpdated" : "2026-06-16T08:02:54.268", "ingestTimestamp" : "2026-06-15T22:27:42.007", "mongoId" : "6a305b87f292fd229cf5ebc1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.9 } ], "status" : 200, "message" : "respond and support unsolicited requests for investigator sponsored studies isss jobs", "metadata" : { "title" : "respond and support unsolicited requests for investigator sponsored studies isss" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 36233, "totalPages" : 725, "hasNext" : true, "hasPrevious" : false } }

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