{ "count" : 52514, "data" : [ { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. 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" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2cda0c74d8ee00a0a4a9b7", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-16T01:58:38.641", "fingerprint" : "68616fac2842ed528effc6ac3a6a3a8511ffbb8a8109440c50c0002428d2553a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003675", "externalId" : "8003675", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Measurement strategy", "Data analysis", "Client advising", "Research studies", "Campaign analysis", "Best practices", "Playbook creation" ], "hardSkillsList" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic analysis", "Conversion lift analysis" ], "hardSkills" : [ { "name" : "Digital analytics", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Media measurement", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Foot traffic analysis", "level" : "intermediate" }, { "name" : "Conversion lift analysis", "level" : "intermediate" } ], "majorSkills" : "Measurement strategy, Data analysis, Client advising", "majorSkillsList" : [ "Measurement strategy", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage study process, Deliver study results, Advocate for measurement solutions, Ensure effective implementation, Lead presentation of results, Provide insights, Provide recommendations, Conduct in-depth analyses, Evaluate campaign tactics effectiveness, Create actionable best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore new AI applications", "teamCollaboration" : "Sales teams; Account management teams; Product teams; Internal teams; Client conversations", "domainKnowledge" : "Measurement landscape; Lift testing; Incrementality testing; Attribution; Foot traffic; Conversion lift; Emerging measurement trends", "domainList" : [ "measurement-landscape", "lift-testing", "incrementality-testing", "attribution", "foot-traffic", "conversion-lift", "emerging-measurement-trends" ], "domainSpecificKnowledge" : [ "Measurement landscape", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Emerging measurement trends" ], "toolProficiency" : [ "AI tools", "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Presenting insights; Presenting recommendations; Senior stakeholder presentations", "documentationSkills" : "Playbook creation", "problemSolvingSkills" : "Solve complex client problems", "specialRequirements" : "In-person events, Team building exercises", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's degree in quantitative field, 0-2 years experience in digital analytics, Understanding of measurement landscape, Demonstrated client service background, Partnering across teams, Comfortable extracting and analyzing datasets, SQL proficiency, Python proficiency", "qualificationsPreferred" : "Master's degree preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement strategy, Data analysis, Client advising. Lead measurement research studies. Manage study process", "postedDate" : "2026-06-14T19:21:54.924", "createdAt" : "2026-06-14T19:21:54.924", "lastUpdated" : "2026-06-16T01:58:38.641", "ingestTimestamp" : "2026-06-14T19:21:54.924", "mongoId" : "6a2cda0c74d8ee00a0a4a9b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic analysis", "Conversion lift analysis", "Measurement strategy", "Data analysis", "Client advising", "Research studies", "Campaign analysis", "Best practices", "Playbook creation", "Measurement landscape", "Foot traffic", "Conversion lift", "Emerging measurement trends", "AI tools", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cda0c74d8ee00a0a4a9b6", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:32:15.710", "fingerprint" : "d7e3dceb65465e1fd815ee1f33e8c98fe96ac047e740bb412dbdb11509658999", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003681", "externalId" : "8003681", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Measurement strategy", "Client service", "Data analysis" ], "hardSkillsList" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution modeling", "Foot traffic analysis", "Conversion lift analysis" ], "hardSkills" : [ { "name" : "Digital analytics", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Media measurement", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Foot traffic analysis", "level" : "intermediate" }, { "name" : "Conversion lift analysis", "level" : "intermediate" } ], "majorSkills" : "Measurement, Data analysis, Client advising", "majorSkillsList" : [ "Measurement", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage research process, Deliver research results, Advocate measurement solutions, Implement measurement solutions, Present research results, Conduct in-depth analyses, Evaluate campaign tactics effectiveness, Create best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore AI applications", "teamCollaboration" : "Work with sales team; Partner with sales; Partner with account management; Partner with product teams", "domainKnowledge" : "Measurement landscape; First party measurement; Third party measurement; AI-first environment", "domainList" : [ "measurement-landscape", "first-party-measurement", "third-party-measurement", "ai-first-environment" ], "domainSpecificKnowledge" : [ "Measurement landscape", "First party measurement", "Third party measurement", "AI-first environment" ], "toolProficiency" : [ "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Present insights; Present recommendations", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "Participate in events, Attend trainings, Attend off-sites, Volunteer days, Team building exercises, Build in-person relationships", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's or Master's degree, 0-2 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement, Data analysis, Client advising. Lead measurement research studies. Manage research process", "postedDate" : "2026-06-14T04:20:08.444", "createdAt" : "2026-06-14T04:20:08.444", "lastUpdated" : "2026-06-15T08:32:15.710", "ingestTimestamp" : "2026-06-14T04:20:08.444", "mongoId" : "6a2cda0c74d8ee00a0a4a9b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution modeling", "Foot traffic analysis", "Conversion lift analysis", "Measurement", "Data analysis", "Client advising", "Measurement strategy", "Client service", "Measurement landscape", "First party measurement", "Third party measurement", "AI-first environment", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e6374d8ee00a0af740a", "title" : "Senior UX Researcher, Advertising and Measurement", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior UX Researcher in Mountain View, USA, adjusted for the technology industry and senior experience level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "timestamp" : "2026-06-16T12:15:13.414", "fingerprint" : "70f717735f396a9022abdf2159162d91f66d51305ab22e86dbbe88b017850e96", "source" : "google", "language" : "en", "externalId" : "127787491997426374", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Senior UX Researcher, Advertising and Measurement", "postedDate" : "2026-06-16T01:50:54.050", "createdAt" : "2026-06-16T01:50:54.050", "lastUpdated" : "2026-06-16T12:15:13.414", "ingestTimestamp" : "2026-06-16T01:50:54.050", "mongoId" : "6a210e6374d8ee00a0af740a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7b7a74d8ee00a0949cbc", "title" : "Concrete Project Manager - Self Perform Team", "company" : "Absher Construction", "industry" : "Real Estate", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager level Concrete Project Manager in Western Washington, adjusted for the construction industry and company size." }, "location" : "Western Washington", "locations" : [ "Western Washington" ], "certifications" : [ "OSHA 30", "First Aid/CPR" ], "timestamp" : "2026-06-15T11:13:44.031", "fingerprint" : "efc25311f90eb716ecdb8b2ebb14565b19bdc2b3e5895e72fa66de822a82463c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/absherconstruction/jobs/4278702009", "externalId" : "4278702009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Washington", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Cost performance", "Labor productivity" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Cost performance", "level" : "intermediate" }, { "name" : "Labor productivity", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Self-perform operations, Project execution, Field leadership", "majorSkillsList" : [ "Self-perform operations", "Project execution", "Field leadership" ], "coreResponsibilities" : "Lead project execution, Ensure successful delivery, Ensure safety performance, Ensure quality performance, Ensure financial performance, Oversee planning, Oversee scheduling, Oversee change management, Oversee safety integration, Oversee quality control, Oversee closeout, Develop execution strategies, Communicate execution strategies, Ensure clarity on scope, Ensure clarity on productivity goals, Ensure clarity on sequencing, Ensure clarity on constraints, Drive risk planning, Identify high-risk activities, Embed safety into crew planning, Embed safety into daily readiness, Monitor field issues, Resolve field issues, Maintain alignment between estimate and plan, Maintain alignment between plan and execution, Track labor productivity, Track labor costs, Identify variances, Implement corrective actions, Supervise team members, Mentor team members, Develop team members, Serve as key interface, Ensure alignment, Ensure scope clarity", "teamCollaboration" : "Field leaders; Self-perform teams; GC operations; Project stakeholders", "projectManagementSkills" : [ "Planning", "Scheduling", "Change management", "Closeout" ], "domainKnowledge" : "Commercial construction; Self-perform operations", "domainList" : [ "commercial-construction", "self-perform-operations" ], "domainSpecificKnowledge" : [ "Commercial construction", "Self-perform operations" ], "problemSolvingSkills" : "Risk planning; Resolve field issues", "specialRequirements" : "Background check, Drug screen", "outcomesObjectives" : "Successful delivery; Safety performance; Quality performance; Financial performance; Protect schedule; Protect margin", "qualificationsBasic" : "Bachelor's degree in Construction Management, Engineering, or related field, 10+ years of experience in commercial construction, Proven ability to manage complex scopes, Proven ability to manage labor productivity, Proven ability to manage cost performance, Relationship-building skills with owners, Relationship-building skills with architects, Relationship-building skills with field teams, Relationship-building skills with trade partners, Commitment to a safety-first culture, Disciplined execution in the field", "qualificationsPreferred" : "Proficiency in construction software, Experience with scheduling tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "Celebrating 85 Years of Building With Purpose At Absher Construction, we’re proud to celebrate over 85 years as one of the Pacific Northwest’s most respected general contractors. As a 100% employee-owned company, we believe our people are our greatest asset and we invest in them like it! From fully paid medical premiums for employees, to a generous PTO policy, 401(k) and ESOP retirement benefits, we offer a total rewards package that reflects the pride and ownership we bring to every project. As a Self-Perform Project Manager, you own the outcome. You’ll lead Absher’s self-perform operations on multiple scopes, managing planning, performance, and profitability. This role is deeply rooted in the field where you’ll be walking jobs, pressure-testing plans, mentoring teams, and driving execution where it matters most. This is a builder’s role for someone who thrives on accountability, sees complexity as a challenge worth solving, and understands that high-performing teams are built through discipline, clarity, and collaboration. What You’ll Do Lead project execution to ensure successful delivery, safety, quality, and financial performance of self-perform scopes Oversee planning, scheduling, change management, safety integration, quality control, and closeout Develop and communicate execution strategies with field leaders to ensure clarity on scope, productivity goals, sequencing, and constraints Drive risk planning, identify high-risk activities early, and embed safety into crew planning and daily readiness Monitor and resolve field issues proactively, maintaining alignment between estimate, plan, and execution Track labor productivity and costs, identify variances, and implement corrective actions to protect schedule and margin Supervise, mentor, and develop team members to build the next generation of self-perform leaders Serve as the key interface between self-perform teams, GC operations, and project stakeholders, ensuring alignment and scope clarity Why You’ll Be Successful You’re not a spectator, you’re an operator. You lead with influence more than authority, thrive on solving complex challenges, and believe in building high-performing teams that win together. What You Bring: Bachelor’s degree in Construction Management, Engineering, or related field (or equivalent field experience) 10+ years of experience in commercial construction, preferably with self-perform operations Proven ability to manage complex scopes, labor productivity, and cost performance Strong relationship-building skills with owners, architects, field teams, and trade partners Commitment to a safety-first culture and disciplined execution in the field Proficiency in construction software (e.g., Procore, scheduling tools) a plus Safety certifications (OSHA 30, First Aid/CPR) preferred Note: Absher is a Federal Contractor. All job offers are contingent upon successful completion of a background check and drug screen. Salary offers are typically made between the entry and midpoint of the range and are based on factors such as experience, education, and internal equity. Pay Transparency $120,000—$150,000 USD Background Check & Pre-Employment Screening All offers of employment are contingent upon successful completion of a pre-employment background check and drug screening. Background checks may include verification of employment history, education, criminal records, and references. For positions with access to company financial accounts or credit card programs, a credit history check may also be conducted. All screening is conducted in compliance with the Fair Credit Reporting Act (FCRA) and applicable state and local laws. Candidates will be asked to provide written consent prior to any screening. If results include information that may affect a hiring decision, candidates will have the opportunity to review and respond to the findings before a final decision is made. Absher Construction is an equal opportunity employer. Background check results are evaluated in context and do not automatically disqualify applicants. Absher’s Commitment: Our Pledge to EEOC At Absher, we are committed to building a culture where everyone can thrive. We welcome diverse voices, perspectives, and experiences and we believe our work is stronger because of them. No employee or applicant will face discrimination based on race, color, national origin, religion, age, gender identity, sexual orientation, disability, veteran status, or any other protected class. Notice to Staffing Agencies Please note: We are not accepting unsolicited resumes or inquiries from staffing agencies at this time. Absher employees are not authorized to bind the company to any third-party recruitment agreements.", "summaryDescription" : "Concrete Project Manager - Self Perform Team at Absher Construction. Skills: Self-perform operations, Project execution, Field leadership. Lead project execution. Ensure successful delivery", "postedDate" : "2026-06-13T21:57:21.788", "createdAt" : "2026-06-13T21:57:21.788", "lastUpdated" : "2026-06-15T11:13:44.031", "ingestTimestamp" : "2026-06-13T21:57:21.788", "mongoId" : "6a2c7b7a74d8ee00a0949cbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cost performance", "Labor productivity", "Leadership", "Mentoring", "Self-perform operations", "Project execution", "Field leadership", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Planning", "Scheduling", "Change management", "Closeout", "Commercial construction", "OSHA 30", "First Aid/CPR" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f7ab", "title" : "CAD customization using. NET (C#), VB", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1450000.0, "max" : 2150000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level CAD customization role using .NET (C#), VB in the Automotive industry in Bangalore, India, adjusted for seniority and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-16T00:30:44.748", "fingerprint" : "ddfdae409a0ca3e41d89c8d3bd5d9b738080f7d4143d2102fb90f3cd2e65f613", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=889179", "externalId" : "889179", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "NET, C#, VB, Scripting, XML, NX-Open API, HTML, AI, Deep learning, C/C++", "professionalSkills" : [ "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "Coding standards", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development" ], "hardSkillsList" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Leadership" ], "hardSkills" : [ { "name" : "NXOpen/UFUNC API", "level" : "intermediate" }, { "name" : "C# (.NET)", "level" : "intermediate" }, { "name" : "VB", "level" : "intermediate" }, { "name" : "C/C++", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "XML", "level" : "intermediate" }, { "name" : "Visual Studio", "level" : "intermediate" }, { "name" : "UIlock Styler", "level" : "intermediate" }, { "name" : "WPF", "level" : "intermediate" }, { "name" : "Siemens NX", "level" : "intermediate" }, { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Drafting", "level" : "intermediate" }, { "name" : "Coding standards", "level" : "intermediate" }, { "name" : "JIRA", "level" : "intermediate" }, { "name" : "Confluence", "level" : "intermediate" }, { "name" : "KANBO", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Cloud Knowhow", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Leadership" } ], "majorSkills" : "CAD Customization, NET, NXOpen API, Automation", "majorSkillsList" : [ "CAD Customization", "NET", "NXOpen API", "Automation" ], "coreResponsibilities" : "Develop desktop applications, Develop Macros, Develop Plugins, Customize CAD, Implement automation requirements, Gather requirements, Deliver automation solutions, Drive programs, Coordinate projects, Execute strategy, Align to strategy, Provide direction to team, Make project plans, Create schedules, Organize meetings, Moderate meetings, Coordinate meetings, Document meetings, Align technical decisions, Negotiate with clients, Review changes, Perform administration tasks, Write reports, Ensure project adheres to timeline, Comply with best coding practices, Ensure high quality deliveries, Use NX-Open API's, Prototype solutions, Develop complex solutions, Build projects, Deploy projects, Create Architecture Documentation, Create Specification, Create UI logic, Develop Quick PoC", "teamCollaboration" : "Multiple stakeholders; Technical decisions; Customer communication; Coordinate meetings", "projectManagementSkills" : [ "SDLC", "Agile (Scrum)", "Project plans", "Schedules" ], "domainKnowledge" : "Automotive design; CAD Customization; Siemens NX; NX Modelling; NX Drafting; Architectural patterns; Service oriented architecture; Micro services; Enterprise architecture", "domainList" : [ "automotive-design", "cad-customization", "siemens-nx", "nx-modelling", "nx-drafting", "architectural-patterns", "service-oriented-architecture", "micro-services", "enterprise-architecture" ], "domainSpecificKnowledge" : [ "Automotive design", "CAD Customization", "Siemens NX", "NX Modelling", "NX Drafting", "Architectural patterns", "Service oriented architecture", "Micro services", "Enterprise architecture" ], "toolProficiency" : [ "NXOpen API", "Visual Studio 2019", "Visual Studio 2022", "UIlock Styler", "WPF", "Siemens NX", "JIRA", "Confluence", "KANBO" ], "communicationSkills" : "Excellent Communication Skills; Communication and Moderation", "documentationSkills" : "Architecture Documentation; Specification", "innovationCreativity" : "Innovative Problem Solving", "problemSolvingSkills" : "Analytical and problem solving skills; Innovative Problem Solving", "outcomesObjectives" : "High quality deliveries", "qualificationsBasic" : "3-6 years relevant experience, Experience in CAD/CAE Customization, C# (.NET), VB, C/C++ language experience", "qualificationsPreferred" : "Siemens NX experience preferred", "remoteFriendly" : false, "rawDescription" : " Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. · Good Knowledge on HTML, XML Data Processing and scripting. · Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services. Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. · Good Knowledge on HTML, XML Data Processing and scripting. · Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "CAD customization using. NET (C#), VB at Mercedes-Benz Research and Development India. Skills: CAD Customization, NET, NXOpen API, Automation. Develop desktop applications. Develop Macros", "createdAt" : "2026-06-14T18:52:11.122", "lastUpdated" : "2026-06-16T00:30:44.748", "ingestTimestamp" : "2026-06-14T18:52:11.122", "mongoId" : "6a191e7758b93c861e39f7ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow", "Analytical", "Problem-solving", "Leadership", "CAD Customization", "NET", "NXOpen API", "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development", "Agile (Scrum)", "Project plans", "Schedules", "Automotive design", "NX Modelling", "NX Drafting", "Service oriented architecture", "Micro services", "Enterprise architecture", "Visual Studio 2019", "Visual Studio 2022" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cda0c74d8ee00a0a4a9b5", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T11:49:44.931", "fingerprint" : "add24fec937a4f8defdf567855dd6ba967680b17d2243b1d76feb19257d8095e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003527", "externalId" : "8003527", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Measurement strategy", "Client advising", "Data analysis", "Research studies", "Campaign analysis", "Best practices", "Playbook creation" ], "hardSkillsList" : [ "Measurement", "Data analysis", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift" ], "hardSkills" : [ { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Foot traffic", "level" : "intermediate" }, { "name" : "Conversion lift", "level" : "intermediate" } ], "majorSkills" : "Measurement, Data analysis, Client advising", "majorSkillsList" : [ "Measurement", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage research process, Deliver research results, Advocate measurement solutions, Implement measurement solutions, Present research results, Provide insights, Provide recommendations, Conduct in-depth analyses, Evaluate campaign tactics, Create best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore AI applications", "teamCollaboration" : "Internal sales teams; Account management teams; Sales teams; Product teams", "domainKnowledge" : "Measurement landscape; Lift testing; Incrementality testing; Attribution; Foot traffic; Conversion lift; Emerging trends", "domainList" : [ "measurement-landscape", "lift-testing", "incrementality-testing", "attribution", "foot-traffic", "conversion-lift", "emerging-trends" ], "domainSpecificKnowledge" : [ "Measurement landscape", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Emerging trends" ], "toolProficiency" : [ "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Present insights; Present recommendations; Client presentations", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "In-person events, Team building exercises", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's or Master's degree, 0-2 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement, Data analysis, Client advising. Lead measurement research studies. Manage research process", "postedDate" : "2026-06-13T22:27:41.763", "createdAt" : "2026-06-13T22:27:41.763", "lastUpdated" : "2026-06-15T11:49:44.931", "ingestTimestamp" : "2026-06-13T22:27:41.763", "mongoId" : "6a2cda0c74d8ee00a0a4a9b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Measurement", "Data analysis", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Client advising", "Measurement strategy", "Research studies", "Campaign analysis", "Best practices", "Playbook creation", "Measurement landscape", "Emerging trends", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c64ca74d8ee00a08fbd82", "title" : "Performance Measurement and Evaluation Intern", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level intern position in Long Island City, United States, with adjustments for industry and seniority." }, "location" : "Long Island City, NY", "locations" : [ "Long Island City, NY" ], "timestamp" : "2026-06-15T08:23:11.094", "fingerprint" : "a606163a290a0313632e38fa9d0ce3b7cd04f125e27888ad2ffad23240eda384", "source" : "jazzhr", "language" : "en", "externalId" : "kJZjnqD64H", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Island City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7455316,-73.9484995" } ], "locationText" : "Long Island City, New York, United States", "employmentType" : "INTERNSHIP", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Performance Measurement and Evaluation Intern", "createdAt" : "2026-06-14T00:10:08.150", "lastUpdated" : "2026-06-15T08:23:11.094", "ingestTimestamp" : "2026-06-14T00:10:08.150", "mongoId" : "6a2c64ca74d8ee00a08fbd82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a3058bdf292fd229cf43fd2", "title" : "Roof Measurement Specialist", "company" : "Sourcefit", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Roof Measurement Specialist in Quezon City, Philippines, adjusted for the real estate industry." }, "location" : "Eastwood Quezon City, PH", "locations" : [ "Eastwood Quezon City", "PH" ], "timestamp" : "2026-06-16T08:48:19.624", "fingerprint" : "d89834b8c3a002cdd23fc46d653aa0528e412cbf2982ad48e41d5b864a62f0a1", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sourcefit.breezy.hr/p/780acbbaae58-roof-measurement-specialist", "externalId" : "780acbbaae58", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quezon City", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6510546,121.0486254" } ], "locationText" : "Quezon City, Philippines", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Measure roofs accurately, Record measurements precisely, Prepare measurement reports, Adhere to safety protocols, Maintain measurement equipment", "domainKnowledge" : "Roof measurement", "domainList" : [ "roof-measurement" ], "domainSpecificKnowledge" : [ "Roof measurement" ], "documentationSkills" : "Measurement reports", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Roof Measurement Specialist at Sourcefit. Measure roofs accurately. Record measurements precisely", "createdAt" : "2026-06-15T22:11:37.739", "lastUpdated" : "2026-06-16T08:48:19.624", "ingestTimestamp" : "2026-06-15T22:11:37.739", "mongoId" : "6a3058bdf292fd229cf43fd2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Roof measurement" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c5e8d74d8ee00a08e4dac", "title" : "Measurement Lead", "company" : "Brandtech+", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Lead Measurement role in the Marketing industry, adjusted for a remote position in India." }, "location" : "BTG+", "locations" : [ "BTG+" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-15T00:15:45.582", "fingerprint" : "02468ed387385c6187f767d0266a611d084dd039b607d85db0624c98ba6d4699", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/brandtechplus/jobs/7898606", "externalId" : "7898606", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker Studio, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Performance reporting", "Operational data", "Financial metrics", "KPI tracking", "Data governance", "Data quality", "Data management", "Reporting accuracy", "Reporting structures", "Data validation", "Performance analysis", "Resource planning", "Workflow optimisation", "Reporting automation", "Reporting accessibility", "Reporting usability", "Client reporting", "Business reviews" ], "hardSkillsList" : [ "Analytical capability", "Operational understanding", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Critical thinking", "Adaptability", "Negotiation", "Mentoring" ], "hardSkills" : [ { "name" : "Analytical capability", "level" : "intermediate" }, { "name" : "Operational understanding", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" }, { "name" : "Adaptability" }, { "name" : "Negotiation" }, { "name" : "Mentoring" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "coreResponsibilities" : "Support development of reporting frameworks, Evolve reporting frameworks, Establish consistent tracking approaches, Standardise reporting structures, Standardise KPI definitions, Standardise data taxonomies, Align reporting outputs, Own data integrity, Maintain data integrity, Implement data validation processes, Implement quality assurance processes, Implement reporting accuracy processes, Identify inconsistencies, Identify gaps, Identify risks, Resolve reporting issues, Promote best practice data management, Promote best practice reporting governance, Build regular reporting outputs, Maintain regular reporting outputs, Translate complex datasets, Support governance forums, Support performance reviews, Support client reporting, Analyse trends, Analyse patterns, Work closely with delivery teams, Work closely with operations teams, Work closely with finance teams, Improve visibility across workflows, Improve visibility across resource planning, Improve visibility across performance tracking, Support forecasting, Support planning, Support performance analysis, Identify operational inefficiencies, Identify optimisation opportunities, Contribute to scalable reporting solutions, Contribute to automated workflows, Support integration across reporting tools, Support integration across delivery systems, Support integration across finance platforms, Support integration across workflow trackers, Improve reporting accessibility, Improve reporting automation, Improve reporting usability, Streamline reporting processes, Reduce manual effort, Encourage consistent adoption of measurement frameworks, Encourage consistent adoption of reporting best practices, Partner with internal stakeholders, Understand reporting needs, Understand reporting priorities, Support client-facing reporting requirements, Present clear data, Present accurate data, Present transparent data, Shape performance narratives, Shape reporting materials, Build working relationships, Ensure alignment, Ensure consistency", "teamCollaboration" : "Global teams; Regional teams; Delivery teams; Operations teams; Finance teams; Strategy teams; Internal stakeholders; Client-facing reporting", "domainKnowledge" : "AI technology; Cloud-native architecture; Data governance; Performance metrics; Financial performance", "domainList" : [ "ai-technology", "cloud-native-architecture", "data-governance", "performance-metrics", "financial-performance" ], "domainSpecificKnowledge" : [ "AI technology", "Cloud-native architecture", "Data governance", "Performance metrics", "Financial performance" ], "toolProficiency" : [ "Power BI", "Tableau", "Looker Studio", "Excel" ], "communicationSkills" : "Stakeholder management; Clear communication; Meaningful insight; Practical recommendations; Clear reporting; Concise reporting; Commercially relevant insight; Performance narratives; Data presentation", "continuousLearning" : "Always learning and listening", "innovationCreativity" : "Spark creativity; Innovative results", "problemSolvingSkills" : "Analytical capability; Problem-solving skills; Interpret complex information; Translate complexity", "outcomesObjectives" : "Demonstrate value to clients; Support effective decision-making", "qualificationsBasic" : "5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles, Advanced Excel skills, Experience using reporting and visualisation tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent and ambitious opportunities worldwide.  As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Measurement Lead Location: Remote working until further notice ABOUT THE ROLE: Brandtech+ is evolving how data is structured, governed, and utilised across global client accounts. The Measurement Lead plays a key role in shaping how delivery, operational, financial, and performance data are captured, connected, interpreted, and communicated across The Mix. This role is responsible for driving consistency, accuracy, and transparency across reporting and measurement frameworks, ensuring stakeholders have access to reliable, actionable insights that support effective decision-making and demonstrate value to clients. Working closely with global and regional teams across delivery, operations, finance, and strategy, the Measurement Lead will support the development of scalable reporting structures, robust data governance processes, and integrated performance views across projects, people, finance, and operational metrics. The role is suited to someone who combines strong analytical capability with operational understanding and excellent stakeholder management skills. The successful candidate will be comfortable working across multiple data sources and business functions, translating complexity into clear reporting, meaningful insight, and practical recommendations. This is a hands-on role within a fast-moving global environment, requiring a proactive and detail-oriented individual who can balance strategic thinking with day-to-day execution and continuous improvement. WHAT YOU WILL BE DOING: Measurement & Reporting Frameworks Support the development and ongoing evolution of reporting and measurement frameworks across The Mix. Establish consistent approaches to tracking delivery, operational, financial, and performance metrics. Help standardise reporting structures, KPI definitions, and data taxonomies across markets and teams. Ensure reporting outputs align to client objectives, business priorities, and operational requirements. Data Governance & Quality Control Own and maintain data integrity across reporting inputs and outputs. Develop and implement processes for data validation, quality assurance, and reporting accuracy. Identify inconsistencies, gaps, and risks within reporting structures and work with stakeholders to resolve them. Promote best practice approaches to data management and reporting governance across teams. Performance Reporting & Insight Build and maintain regular reporting outputs for global and regional stakeholders. Translate complex datasets into clear, concise, and commercially relevant insight. Support governance forums, performance reviews, and client reporting through accurate and meaningful performance narratives. Analyse trends and patterns across delivery, utilisation, efficiency, and financial performance metrics. Operational & Commercial Support Work closely with delivery, operations, and finance teams to improve visibility across workflows, resource planning, and performance tracking. Support forecasting, planning, and performance analysis activities through reliable reporting and structured insight. Assist in identifying operational inefficiencies and opportunities for optimisation through data analysis. Contribute to the development of scalable reporting solutions and automated workflows where appropriate. Tools, Systems & Process Improvement Support integration and alignment across reporting tools, delivery systems, finance platforms, and workflow trackers. Help improve reporting accessibility, automation, and usability across teams. Partner with operational and technology stakeholders to streamline reporting processes and reduce manual effort. Encourage consistent adoption of measurement frameworks and reporting best practices globally. Stakeholder & Client Collaboration Partner with internal stakeholders across delivery, strategy, finance, and operations to understand reporting needs and priorities. Support client-facing reporting requirements with clear, accurate, and transparent data presentation. Help shape performance narratives and reporting materials for governance meetings and business reviews. Build strong working relationships across global and regional teams to ensure alignment and consistency. WHAT YOU WILL NEED TO BE GREAT AT THIS ROLE: 5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles within agencies, marketing operations, or in-house environments. Strong analytical and problem-solving skills, with the ability to interpret and communicate complex information clearly. Experience working with performance reporting, operational data, financial metrics, and KPI tracking. Advanced Excel skills and confidence working with large or complex datasets. Experience using reporting and visualisation tools such as Power BI, Tableau, Looker Studio, or equivalent platforms. Strong organisational skills with high attention to detail and accuracy. Ability to manage multiple priorities and stakeholders within fast-paced environments. Excellent communication and stakeholder management skills. A collaborative and proactive approach, with a strong focus on continuous improvement. Req ID - 17490 #LI-DJ1 #LI-REMOTE #LI-Senior #BTG+ Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  Brandtech+, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.  Brandtech+ has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.'", "summaryDescription" : "Measurement Lead at Brandtech+. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Support development of reporting frameworks. 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"Data validation", "Performance analysis", "Resource planning", "Workflow optimisation", "Reporting automation", "Reporting accessibility", "Reporting usability", "Client reporting", "Business reviews", "AI technology", "Cloud-native architecture", "Performance metrics", "Financial performance", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Power BI", "Tableau", "Looker Studio", "Excel" ], "skillCount" : 54, "jobCategory" : "other", "jobSubcategory" : "analytics-", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5e8d74d8ee00a08e4da9", "title" : "Measurement Lead", "company" : "Brandtech+", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Lead Measurement role in the Marketing industry, adjusted for a remote position in India." }, "location" : "BTG+", "locations" : [ "BTG+" ], "timestamp" : "2026-06-15T00:28:09.903", "fingerprint" : "094024f3916f2150eb92a7084d9e0abf67f2206191a2185e2db4d5deda186410", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/brandtechplus/jobs/8000033", "externalId" : "8000033", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker Studio, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data governance", "Performance analysis", "Operational efficiency", "Commercial insight", "Client reporting" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data validation", "Quality assurance", "Forecasting", "Planning" ], "softSkillsList" : [ "Leadership", "Critical thinking", "Adaptability", "Negotiation", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" }, { "name" : "Adaptability" }, { "name" : "Negotiation" }, { "name" : "Mentoring" } ], "majorSkills" : "Data governance, Performance reporting, Stakeholder management, Data analysis", "majorSkillsList" : [ "Data governance", "Performance reporting", "Stakeholder management", "Data analysis" ], "coreResponsibilities" : "Support development of reporting frameworks, Establish consistent tracking approaches, Standardise reporting structures, Define KPI definitions, Define data taxonomies, Ensure reporting aligns to client objectives, Ensure reporting aligns to business priorities, Ensure reporting aligns to operational requirements, Own data integrity, Maintain data integrity, Implement data validation processes, Implement quality assurance processes, Implement reporting accuracy processes, Identify reporting inconsistencies, Identify reporting gaps, Identify reporting risks, Resolve reporting issues, Promote data management best practices, Promote reporting governance best practices, Build regular reporting outputs, Translate complex datasets into insight, Support governance forums, Support performance reviews, Support client reporting, Analyse delivery trends, Analyse utilisation trends, Analyse efficiency trends, Analyse financial performance trends, Improve visibility across workflows, Improve visibility across resource planning, Improve visibility across performance tracking, Support forecasting activities, Support planning activities, Support performance analysis activities, Identify operational inefficiencies, Identify optimisation opportunities, Contribute to scalable reporting solutions, Contribute to automated workflows, Support integration across reporting tools, Support integration across delivery systems, Support integration across finance platforms, Support integration across workflow trackers, Improve reporting accessibility, Improve reporting automation, Improve reporting usability, Streamline reporting processes, Reduce manual effort, Encourage consistent adoption of measurement frameworks, Encourage consistent adoption of reporting best practices, Partner with internal stakeholders, Understand reporting needs, Understand reporting priorities, Support client-facing reporting requirements, Present clear data, Present accurate data, Present transparent data, Shape performance narratives, Shape reporting materials for governance meetings, Shape reporting materials for business reviews, Build working relationships across teams, Ensure alignment across teams, Ensure consistency across teams", "teamCollaboration" : "Global teams; Regional teams; Delivery teams; Operations teams; Finance teams; Strategy teams; Internal stakeholders; Client-facing reporting", "domainKnowledge" : "Marketing operations; Agency reporting; Client value demonstration", "domainList" : [ "marketing-operations", "agency-reporting", "client-value-demonstration" ], "domainSpecificKnowledge" : [ "Marketing operations", "Agency reporting", "Client value demonstration" ], "toolProficiency" : [ "Power BI", "Tableau", "Looker Studio" ], "communicationSkills" : "Clear communication; Concise communication; Commercially relevant insight; Performance narratives; Data presentation", "continuousLearning" : "Always learning and listening", "innovationCreativity" : "Leveraging cutting-edge AI technology; Enhance efficiency; Spark creativity; Drive insightful decision-making; Produce innovative results", "problemSolvingSkills" : "Analytical capability; Problem-solving skills; Translate complexity; Practical recommendations", "outcomesObjectives" : "Demonstrate value to clients; Support effective decision-making", "qualificationsBasic" : "5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles, Advanced Excel skills, Experience using reporting and visualisation tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent and ambitious opportunities worldwide.  As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Measurement Lead Location: Remote working until further notice ABOUT THE ROLE: Brandtech+ is evolving how data is structured, governed, and utilised across global client accounts. The Measurement Lead plays a key role in shaping how delivery, operational, financial, and performance data are captured, connected, interpreted, and communicated across The Mix. This role is responsible for driving consistency, accuracy, and transparency across reporting and measurement frameworks, ensuring stakeholders have access to reliable, actionable insights that support effective decision-making and demonstrate value to clients. Working closely with global and regional teams across delivery, operations, finance, and strategy, the Measurement Lead will support the development of scalable reporting structures, robust data governance processes, and integrated performance views across projects, people, finance, and operational metrics. The role is suited to someone who combines strong analytical capability with operational understanding and excellent stakeholder management skills. The successful candidate will be comfortable working across multiple data sources and business functions, translating complexity into clear reporting, meaningful insight, and practical recommendations. This is a hands-on role within a fast-moving global environment, requiring a proactive and detail-oriented individual who can balance strategic thinking with day-to-day execution and continuous improvement. WHAT YOU WILL BE DOING: Measurement & Reporting Frameworks Support the development and ongoing evolution of reporting and measurement frameworks across The Mix. Establish consistent approaches to tracking delivery, operational, financial, and performance metrics. Help standardise reporting structures, KPI definitions, and data taxonomies across markets and teams. Ensure reporting outputs align to client objectives, business priorities, and operational requirements. Data Governance & Quality Control Own and maintain data integrity across reporting inputs and outputs. Develop and implement processes for data validation, quality assurance, and reporting accuracy. Identify inconsistencies, gaps, and risks within reporting structures and work with stakeholders to resolve them. Promote best practice approaches to data management and reporting governance across teams. Performance Reporting & Insight Build and maintain regular reporting outputs for global and regional stakeholders. Translate complex datasets into clear, concise, and commercially relevant insight. Support governance forums, performance reviews, and client reporting through accurate and meaningful performance narratives. Analyse trends and patterns across delivery, utilisation, efficiency, and financial performance metrics. Operational & Commercial Support Work closely with delivery, operations, and finance teams to improve visibility across workflows, resource planning, and performance tracking. Support forecasting, planning, and performance analysis activities through reliable reporting and structured insight. Assist in identifying operational inefficiencies and opportunities for optimisation through data analysis. Contribute to the development of scalable reporting solutions and automated workflows where appropriate. Tools, Systems & Process Improvement Support integration and alignment across reporting tools, delivery systems, finance platforms, and workflow trackers. Help improve reporting accessibility, automation, and usability across teams. Partner with operational and technology stakeholders to streamline reporting processes and reduce manual effort. Encourage consistent adoption of measurement frameworks and reporting best practices globally. Stakeholder & Client Collaboration Partner with internal stakeholders across delivery, strategy, finance, and operations to understand reporting needs and priorities. Support client-facing reporting requirements with clear, accurate, and transparent data presentation. Help shape performance narratives and reporting materials for governance meetings and business reviews. Build strong working relationships across global and regional teams to ensure alignment and consistency. WHAT YOU WILL NEED TO BE GREAT AT THIS ROLE: 5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles within agencies, marketing operations, or in-house environments. Strong analytical and problem-solving skills, with the ability to interpret and communicate complex information clearly. Experience working with performance reporting, operational data, financial metrics, and KPI tracking. Advanced Excel skills and confidence working with large or complex datasets. Experience using reporting and visualisation tools such as Power BI, Tableau, Looker Studio, or equivalent platforms. Strong organisational skills with high attention to detail and accuracy. Ability to manage multiple priorities and stakeholders within fast-paced environments. Excellent communication and stakeholder management skills. A collaborative and proactive approach, with a strong focus on continuous improvement. Req ID - 17490 #LI-SJ1 #LI-REMOTE #LI-Senior #BTG+ Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  Brandtech+, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.  Brandtech+ has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.'", "summaryDescription" : "Measurement Lead at Brandtech+. Skills: Data governance, Performance reporting, Stakeholder management, Data analysis. Support development of reporting frameworks. Establish consistent tracking approaches", "postedDate" : "2026-06-12T22:01:39.804", "createdAt" : "2026-06-12T22:01:39.804", "lastUpdated" : "2026-06-15T00:28:09.903", "ingestTimestamp" : "2026-06-12T22:01:39.804", "mongoId" : "6a2c5e8d74d8ee00a08e4da9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data validation", "Quality assurance", "Forecasting", "Planning", "Leadership", "Critical thinking", "Adaptability", "Negotiation", "Mentoring", "Data governance", "Performance reporting", "Stakeholder management", "Data analysis", "Performance analysis", "Operational efficiency", "Commercial insight", "Client reporting", "Marketing operations", "Agency reporting", "Client value demonstration", "Power BI", "Tableau", "Looker Studio" ], "skillCount" : 30, "jobCategory" : "other", "jobSubcategory" : "analytics-", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "69f9b8034c40e2acd11140a4", "title" : "Principal Measurement Partnerships Lead, Measurement, Ad Tech, and Data Science (MADS)", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Advertising", "salary" : { "min" : 60000.0, "max" : 206500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:05:27.852", "fingerprint" : "9248b7233eff6662ed48f9a614182b8ace55cc737855d4ed363d1820913d55a9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409963/apply", "externalId" : "eee99a31-ab46-43cf-adea-426f954a356e", "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" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Advertising measurement", "Client delivery", "Program management" ], "hardSkillsList" : [ "Market analysis", "Industry analysis", "Opportunity analysis" ], "softSkillsList" : [ "Persistence", "Conciseness" ], "hardSkills" : [ { "name" : "Market analysis", "level" : "intermediate" }, { "name" : "Industry analysis", "level" : "intermediate" }, { "name" : "Opportunity analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Persistence" }, { "name" : "Conciseness" } ], "majorSkills" : "Measurement products, Ad tech, Data science", "majorSkillsList" : [ "Measurement products", "Ad tech", "Data science" ], "coreResponsibilities" : "Drive progress on business KPIs, Serve as single threaded owner, Facilitate overall program execution, Harness and organize internal teams, Set long-term vision, Influence product roadmaps, Influence business roadmaps, Serve as primary point of contact, Relentlessly follow up to communicate, Triage customer issues, Deliver best-in-class solutions, Exhibit deep analytical ability, Develop expertise in proprietary metrics, Evolve how we analyze data, Evolve how we communicate data, Planning and prioritizing across complex inputs, Prioritizing activities, Drive innovation and roadmap decisions, Increase ease of data availability, Increase availability of data, Create standard operating procedure documentation, Update standard operating procedure documentation, Maintain standard operating procedure documentation, Create training materials, Update training materials, Maintain training materials, Procure feedback from partner teams, Implement feedback from partner teams", "teamCollaboration" : "Work with external partners; Work with internal teams; Work with operations teams; Work with product teams; Work with business teams; Lead global program; Participate in senior leader discussions; Influence senior leader discussions", "projectManagementSkills" : [ "Program strategy", "End to end delivery", "Process implementation", "Automation", "Standardization" ], "domainKnowledge" : "Advertising measurement; Ad tech; Data science", "domainList" : [ "advertising-measurement", "ad-tech", "data-science" ], "domainSpecificKnowledge" : [ "Advertising measurement", "Ad tech", "Data science" ], "communicationSkills" : "Concise communication", "documentationSkills" : "Standard operating procedure documentation; Training materials", "innovationCreativity" : "Experimentation; Innovation", "problemSolvingSkills" : "Anticipating bottlenecks; Making tradeoffs; Balancing needs", "outcomesObjectives" : "Enhance advertiser experience; Understand full-funnel impact; Increase ease of data; Increase availability of data", "qualificationsBasic" : "10+ years cross functional project delivery, MBA and 5+ years cross functional project delivery, 7+ years working cross functionally, Managing, analyzing, and communicating results, Owning program strategy and end to end delivery, Using data and metrics to drive improvements, Implementing repeatable processes and driving automation, Defining and executing program requirements", "qualificationsPreferred" : "Background in advertising measurement", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon Advertising, we sit at the intersection of advertising and eCommerce. With millions of customers visiting us every day to find, discover, and buy products, we believe that advertising, when done well, can enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We strive to make advertising relevant so that customers welcome it and advertisers can easily implement it. If you’re interested in innovative advertising solutions with a relentless focus on the customer, you’ve come to the right place! Our team's mandate is to launch and accelerate adoption of advertising measurement products and services that enhance advertiser experience on Amazon. We are responsible for defining and delivering a collection of self-service measurement solutions that enable Advertisers to understand the full-funnel impact of their Advertising. With a broad mandate to experiment and innovate, we are growing with a seemingly endless range of new opportunities. As a Principal Measurement Partnerships Lead you are responsible for the client delivery of some of the most exciting and innovative measurement products Amazon Advertising has to offer. You are the operations and measurement expert to the client and will work closely with external partners as well as internal teams (operations, product, business). You are detail-oriented, persistent, and concise in your communications. You care about client quality. You flawlessly execute and also care about scaling processes and tools. The ideal candidate must be willing to work hard in a fast paced, dynamic and demanding environment. The right candidate will have experience leading medium to large products and projects, and excel at written and verbal communications. A background in advertising measurement is a significant plus. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means anticipating bottlenecks, making tradeoffs and balancing the needs of various key stakeholders. You will be expected to have strong opinions about tradeoffs as well as the analytic background necessary to track adoption and performance of your program. You will be able to lead a global program at scale, and participate/influence other senior leaders across the company future direction-setting. Finally, you will direct in-depth market, industry, and opportunity analysis, and will work with technology and business teams to define program requirements, understand customer needs, and define success metrics and performance tracking methods for product launches. Development, testing, and delivery is performed in partnership with dedicated product teams. Key job responsibilities - Drive progress on business KPIs by serving as a single threaded owner for a large-scale measurement program - Facilitate overall program execution, harnessing and organizing multiple internal Amazon teams in the process, setting long-term vision, and influencing product and business roadmaps - Serve as the primary point of contact for measurement and data partners; relentlessly follow up to communicate, triage, and deliver best-in-class solutions for customers - Exhibit deep analytical ability, and develop expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data to our advertisers. - Planning and prioritizing across complex inputs and activities - Drive innovation and roadmap decisions that increase the ease and availability of data to both internal teams and external partners. - Create, update and maintain standard operating procedure documentation and other training materials. Procure and implement feedback from partner teams regarding SOP usability. Basic Qualifications: - 10+ years of cross functional project delivery experience, or a MBA and 5+ years of cross functional project delivery experience - 7+ years of working cross functionally across several teams experience - Experience managing, analyzing and communicating results to senior leadership - Experience owning program strategy and end to end delivery - Experience using data and metrics to drive improvements - Experience implementing repeatable processes and driving automation or standardization - Experience defining and executing program requirements Preferred Qualifications: - Experience delivering projects within scope, time, budget and quality 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 - 152,600.00 - 206,500.00 USD annually", "summaryDescription" : "Principal Measurement Partnerships Lead, Measurement, Ad Tech, and Data Science (MADS) at Amazon.com Services LLC. Skills: Measurement products, Ad tech, Data science. Drive progress on business KPIs. 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Le centre de relation client MAAF de Nancy recrute ses futurs talents pour le 28 septembre 2026 ! Nous recherchons 4 Conseillers commerciaux à distance F/H en CDI afin de compléter notre collectif dynamique et engagé. Rejoignez les équipes de Maria-Victoria, Guillaume, Ivann, Matteo et Damien, un de vos futurs managers de proximité qui vous accompagnera dans la bienveillance ! MAAF est une des marques leader de l’assurance en France, fidèle à des valeurs de simplicité et d’accessibilité ; une entreprise où par ailleurs il fait bon vivre. A ce titre, Covéa se classe à la 1ère place du palmarès Capital 2024 des 500 meilleurs employeurs en France pour le secteur \"Assurance et assistance\". Sa signature « La Préférence Client » donne à la dimension relationnelle une force qui se concrétise à tous les niveaux de l’entreprise. Passionné(e) par la relation client, vous recherchez une entreprise proche de ses clients dans laquelle vous pourrez vous épanouir au travers de nombreuses missions. Vos missions au quotidien : Conseiller, conquérir, fidéliser, convaincre ! Interlocuteur et garant de la satisfaction des clients et prospects, vous avez un rôle clé dans le parcours du client : * Vous accueillez nos clients et prospects dans leurs demandes téléphoniques, vous êtes attentifs à la qualité et à la satisfaction de la relation apportée à notre clientèle, * Vous êtes à leur écoute pour cerner au mieux leurs besoins, * Vous répondez à leurs demandes de devis, * Vous détectez et comprenez leurs besoins tout en apportant un conseil pertinent dans un objectif de fidélisation, * Vous proposez et vendez les produits d’assurance adaptés à leurs profils (vente directe, prise de rendez-vous pour les conseillers des agences). * Vous relevez des challenges au quotidien dans une ambiance de plateau conviviale. Votre activité se réalisera essentiellement par téléphone afin d’être en proximité avec nos clients ! Covéa s’attache à offrir des parcours professionnels diversifiés. Vous pourrez ainsi avoir l’opportunité d’évoluer, par exemple, vers des métiers d’accompagnement (Référent technique, Manager). Les avantages qui font la différence : • Salaire fixe à partir de 32 290 € brut annuel incluant le 13ème mois et la prime de vacances mensualisés (selon votre profil et votre expérience) ; • Prime de performance collective pouvant aller jusqu'à 3400 euros bruts et primes d’Intéressement / de Participation liées au groupe Covéa ; • Formation initiale de 10 semaines sur nos produits d’assurance et nos outils informatiques (dont 2 semaines non consécutives au siège de la MAAF à Niort avec prise en charge des frais engendrés par l'entreprise) ; • 35h hebdomadaires sur une amplitude 8h30-20h du lundi au vendredi et 8h30-17h le samedi ; • Majoration pour les samedis travaillés (environ 2 samedis travaillés par mois) ; • 31 jours de congés payés + 4 RTT ; • Télétravail possible jusqu’à 2 jours par semaine (mis en œuvre selon votre degré d’autonomie) ; • Mutuelle avantageuse + régime sur complémentaire santé (prise en charge employeur 60%) ; • Titres-restaurants ; • De nombreux avantages CSE (chèque vacances, voyages, …) ; • Prise en charge des frais de transport en commun à hauteur de 75%, forfait de mobilité durable. ## Qualifications Et si c'était vous ? L’assurance c’est nouveau pour vous ? Pas d’inquiétude, nous avons tout prévu ! * Quel que soit votre parcours de formation initial, c’est votre orientation client et votre personnalité qui priment ! * Vous êtes animé(e) par le sens du service et vous êtes reconnu(e) pour vos capacités d’argumentation et de conviction, * Votre fort sens du contact et du conseil sont des atouts indispensables, * Vous conjuguez à la fois esprit d’équipe et gout du challenge. Vous vous reconnaissez dans cette description, et êtes motivé(e) à nous rejoindre ? Postulez ! Si votre candidature est présélectionnée sur CV, Mathéo ou Charles vous contacteront pour un 1er échange \uD83D\uDE0A La suite ? Un échange avec l’un des managers et Camille, Recruteuse, pour comprendre votre projet professionnel et vos motivations. Nous vous attendons ! Covéa est un groupe mutualiste engagé, constitué des marques MAAF, MMA, GMF et du réassureur PartnerRe. Acteur économique majeur des territoires, grâce à ses 24 000 collaborateurs, Covéa protège plus de 11 millions de clients et sociétaires en France. Intégrez le leader de l’assurance, contribuez à sa réussite : votre talent, notre engagement !", "summaryDescription" : "Conseiller commercial à distance F/H at COVEA. Skills: Relation client, Vente assurance. Accueillir clients et prospects. Être attentif à la qualité", "postedDate" : "2026-06-15T11:51:43.000", "createdAt" : "2026-06-16T01:37:20.610", "lastUpdated" : "2026-06-16T12:46:19.277", "ingestTimestamp" : "2026-06-16T01:37:20.610", "mongoId" : "6a307e8df292fd229c050a50", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Relation client", "Vente assurance", "Vente directe", "Prise de rendez-vous", "Produits d’assurance", "Outils informatiques" ], "skillCount" : 6, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68f974d8ee00a09057c3", "title" : "Roof Measurement Technician", "industry" : "Measurements", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Roof Measurement Technician in Manila, Philippines, adjusted for industry and remote work." }, "location" : "Manila Remote", "locations" : [ "Manila Remote" ], "timestamp" : "2026-06-16T06:36:11.167", "fingerprint" : "4467c8b89596ffc085bcbe25e55c8860d3e6542a6edfda2da50a79ece4ec0288", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/firstmate/657d5add-6e8d-49eb-a971-2c995ead51e5/application", "externalId" : "657d5add-6e8d-49eb-a971-2c995ead51e5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Roof mapping", "Roof measurement", "Spatial awareness" ], "hardSkills" : [ { "name" : "Roof mapping", "level" : "intermediate" }, { "name" : "Roof measurement", "level" : "intermediate" }, { "name" : "Spatial awareness", "level" : "intermediate" } ], "majorSkills" : "Roof measurement, Aerial imagery interpretation", "majorSkillsList" : [ "Roof measurement", "Aerial imagery interpretation" ], "coreResponsibilities" : "Trace roof outlines, Create overlays on imagery, Identify roof facets, Identify roof ridges, Identify roof hips, Identify roof valleys, Identify roof pitches, Identify roof penetrations, Build roof models, Configure report outputs, Label roof lines, Label structural features, Follow measurement standards, Follow workflow procedures, Maintain production quality, Meet turnaround expectations, Meet production quotas, Complete projects efficiently", "domainKnowledge" : "Roof structures", "domainList" : [ "roof-structures" ], "domainSpecificKnowledge" : [ "Roof structures" ], "toolProficiency" : [ "Proprietary software", "AI-powered software" ], "documentationSkills" : "Professional report outputs", "outcomesObjectives" : "Meet daily production quotas; Meet weekly production quotas; Maintain accuracy standards; Maintain QA accuracy", "qualificationsBasic" : "Computer proficiency, Ability to learn new software, Reliable computer, High-speed internet connection, Ability to interpret aerial imagery, Recognize structural roof components, Ability to work independently, Clear English communication skills, Comfortable working in production environment", "qualificationsPreferred" : "Experience with architecture, Experience with drafting, Experience with construction, Experience with GIS, Experience with aerial measurements", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are seeking a detail-driven team member to join our remote team and produce accurate roof measurement reports. In this role, you will use our AI-powered software to trace and map roof structures using high-resolution aerial and satellite imagery. This is a full-time remote position suited for individuals with strong attention to detail, spatial awareness, and the ability to work independently in a fast-paced production environment. What You Will Do Roof Mapping & Measurement - Use proprietary software to trace roof outlines and create precise overlays on 2D aerial imagery - Identify roof facets, ridges, hips, valleys, pitches, and penetrations - Build accurate roof models and configure professional report outputs - Ensure accurate labeling of roof lines and structural features Accuracy & Consistency - Follow established measurement standards and workflow procedures - Maintain high production quality while meeting turnaround expectations - Consistently meet daily and weekly production quotas - Complete projects efficiently while maintaining accuracy standards - Work within a point-based production system tied to project complexity and completion speed Requirements - Strong computer proficiency and ability to learn new software quickly - Exceptional attention to detail and spatial awareness - Reliable computer and high-speed internet connection - Ability to interpret aerial imagery and recognize structural roof components - Experience with architecture, drafting, construction, GIS, or aerial measurements is an asset - Ability to work independently in a remote environment - Clear English communication skills - Comfortable working in a production-focused environment with measurable quality and volume expectations Schedule & Training - Full-time position with 10-hour shifts - Paid training Compensation - Base pay - Additional production-based incentives tied to project complexity and completion speed - Quality performance bonuses for maintaining strong QA accuracy - Faster completion times and higher-complexity projects earn increased point payouts - Opportunities to earn additional “rush bonuses” during high-volume production periods - Tiered technician levels with increased compensation and access to more advanced project types based on performance and quality standards Growth Opportunities High-performing technicians may qualify for advancement opportunities including: - Lead Technicians - Quality Assurance Technicians - Standard and Senior Technician roles with increased earning potential - Additional responsibilities in training, QA review, and production leadership", "summaryDescription" : "Roof Measurement Technician. Skills: Roof measurement, Aerial imagery interpretation. Trace roof outlines. Create overlays on imagery", "createdAt" : "2026-06-14T20:11:52.624", "lastUpdated" : "2026-06-16T06:36:11.167", "ingestTimestamp" : "2026-06-14T20:11:52.624", "mongoId" : "6a2c68f974d8ee00a09057c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Roof mapping", "Roof measurement", "Spatial awareness", "Aerial imagery interpretation", "Roof structures", "Proprietary software", "AI-powered software" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c8d6f74d8ee00a0978f7b", "title" : "Measurement Partnerships Associate", "company" : "Ibotta", "industry" : "Business - Non Sales", "salary" : { "min" : 90000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-16T02:12:00.009", "fingerprint" : "425e357ae39858fa45d14ab5d4721777b204c1afee286eedad953e440c207d10", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/2ab7d3bf-232b-4f00-8341-ab151bf37adc/application", "externalId" : "2ab7d3bf-232b-4f00-8341-ab151bf37adc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Measurement Partnerships Associate to join our Business Development team and contribute to our mission to Make Every Purchase Rewarding. Ibotta is fundamentally changing how the world's leading brands, retailers, and financial institutions think about digital marketing and consumer rewards. As the Measurement Partnerships Associate, you are the operational engine behind the strategic measurement partnerships — the person who makes sure that every study we commit to actually gets off the ground correctly, runs cleanly, and delivers results that matter to our CPG clients. This role sits at the intersection of measurement rigor and client service. You're equally comfortable in a meeting presenting sales lift results to brand managers and in a spreadsheet validating campaign specs the day before a study launches. You know enough about media measurement to hold your own with Circana or Nielsen counterparts, and enough about CPG marketing and analytics to make the numbers mean something to the people who need to act on them. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. Candidates must live in the United States. What you will be doing: - Serve as the day-to-day operational liaison with third-party measurement partners (e.g., Circana, ABCS, other measurement third-party partner vendors). - Track study timelines, manage data deliverable deadlines, route questions to the right internal stakeholders, and escalate when needed. - Own the end-to-end campaign study intake process — collect and complete measurement spec forms, validate all campaign details (flight dates, products and UPCs, targeting parameters, offer details, audience definitions) to ensure measurement studies are properly set up, executed, and delivered. - Work cross-functionally across Sales, Data Science, Client Analytics, Technology, Legal, Finance, and Marketing. - Present campaign measurement results — sales lift, marketing mix model contributions, and media performance KPIs — to advertiser clients and measurement partner contacts. Build the decks, own the narrative, and run the meeting. - Analyze and interpret campaign performance data into clear, actionable insights and stories. - Support Measurement Partnerships in executing the broader measurement partnership strategy, including working to streamline data delivery processes to measurement vendors, identifying friction points, improving file specs, and workflows. - Maintain subject matter expertise in media measurement methodologies, ad tech concepts (audiences, viewability, reach/frequency, awareness), and CPG measurement norms. - Identify process improvements in how measurement studies are initiated, tracked, and delivered — and implement them. - Travel occasionally to industry events or client meetings (~once per quarter). - Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere. What We Are Looking For: - 2–5 years of experience in CPG analytics, media measurement, marketing or promotional analytics, or a closely related field. - Experience working with CPG data sources — syndicated data (IRI/Circana, Nielsen), retail POS, household and receipt panel data. - Understanding of sales lift methodology, marketing mix modeling (MMM) concepts, attribution, and media measurement KPIs. - Familiarity with ad tech and digital media concepts: audience targeting, viewability, reach/frequency, awareness measurement. - Working knowledge of data transfer processes — SFTP, API-based integrations, data file specifications. You don't need to build them; you need to understand how they work. - Exposure to SQL, R or Python for data manipulation is a plus. - Proficiency in G Suite; experience with Lookr, Tableau, Power BI, or similar visualization tools is a plus. - Exceptional attention to detail and a compulsion to catch errors before they become problems. - Proven ability to manage multiple concurrent projects with competing deadlines. - Strong client-facing communication and presentation skills — you're comfortable in front of brand managers and measurement partner contacts. - Demonstrated ability to synthesize data into clear, compelling narratives for both technical and non-technical audiences. - Ability to work cross-functionally and influence outcomes without direct authority. About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $90,000-$100,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Measurement Partnerships Associate at Ibotta", "createdAt" : "2026-06-14T18:49:27.603", "lastUpdated" : "2026-06-16T02:12:00.009", "ingestTimestamp" : "2026-06-14T18:49:27.603", "mongoId" : "6a2c8d6f74d8ee00a0978f7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7fc374d8ee00a0956393", "title" : "Ad Measurement Lead", "company" : "Roku", "industry" : "Media", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Ad Measurement position in New York, adjusted for the technology industry and company size." }, "location" : "New York, New York, U.S.", "locations" : [ "New York", "New York", "U.S." ], "timestamp" : "2026-06-15T05:18:08.070", "fingerprint" : "4d624553fb85e819bf6e749d37edc55e38e077cb3cb837159f4f3fffb3952ca4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.weareroku.com/jobs/8000996?gh_jid=8000996", "externalId" : "8000996", "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", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Client management" ], "hardSkillsList" : [ "Quantitative studies", "Qualitative studies", "Meta-analyses" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative studies", "level" : "intermediate" }, { "name" : "Qualitative studies", "level" : "intermediate" }, { "name" : "Meta-analyses", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Ad measurement, Research strategy, Analytics, AI tools", "majorSkillsList" : [ "Ad measurement", "Research strategy", "Analytics", "AI tools" ], "coreResponsibilities" : "Consult advertisers and agencies, Create measurement plans, Test advertising effectiveness, Test advertising outcomes, Cultivate strategic relationships, Lead quantitative studies, Lead qualitative studies, Scope study feasibility, Perform data analysis, Generate reports, Present results internally, Present results externally, Manage relationships with providers, Work with internal stakeholders, Partner closely with marketing, Partner closely with sales, Partner closely with client service, Partner closely with product, Partner closely with partnerships, Execute against strategic initiatives, Develop scalable solutions, Conduct meta-analyses, Create case studies, Educate clients, Educate the market, Educate internal teams, Challenge existing measurement solutions, Improve existing measurement solutions, Provide guidance to junior teammates, Provide mentorship to junior teammates, Share knowledge with junior teammates, Train junior teammates", "teamCollaboration" : "Collaborate with peers; Partner with colleagues; Partner with external partners; Agency analytics team; Internal stakeholders; Marketing; Sales; Client service; Product; Partnerships; Product teams; Analytics teams", "domainKnowledge" : "Enterprise verticals; Political verticals; Advocacy verticals; Government verticals; Independent verticals; TV advertising", "domainList" : [ "enterprise-verticals", "political-verticals", "advocacy-verticals", "government-verticals", "independent-verticals", "tv-advertising" ], "domainSpecificKnowledge" : [ "Enterprise verticals", "Political verticals", "Advocacy verticals", "Government verticals", "Independent verticals", "TV advertising" ], "communicationSkills" : "Client presentations", "documentationSkills" : "Create case studies", "continuousLearning" : "Develop proactive learning agenda", "innovationCreativity" : "Invent new solutions", "problemSolvingSkills" : "Problem-solving skills; Creatively problem solve; Invent new solutions", "qualificationsBasic" : "Ad measurement and research strategy, Analytics, research, and measurement projects, Data analysis, Report generation, Presenting results, Manage third-party measurement providers, Onboard and integrate new providers, Develop proactive learning agenda, AI tools and agents proficiency", "qualificationsPreferred" : "Passion for political and advocacy landscape", "workSiteFlexibility" : "Onsite", "rawDescription" : "Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Role Roku pioneered streaming to the TV and continues to innovate and lead the industry. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. While we are well-positioned to help shape the future of television - including TV advertising - around the world, continued success relies on how well we show our advertisers the value we just delivered. Roku is seeking an Ad Measurement Lead to join our growing Ad Measurement team. You will play an integral role in building ad measurement and research strategy with a focus on the Enterprise, Political, Advocacy & Government (PAG) and Independent verticals. This includes developing and executing against a wide range of analytics, research, and measurement projects to help advertisers succeed on Roku. You will work to creatively problem solve and understand business objectives and challenges, while having personal comfort with data, and an entrepreneurial spirit to take ownership of solving challenges for internal and external stakeholders. Our environment is fast-paced, requiring the ability to work autonomously with minimal supervision in an ever-changing environment. You will need to demonstrate excellent problem-solving skills and invent new solutions to address business needs. The right mix of organizational and communication skills is key to success. Attention to detail and a proven ability to manage priorities are also essential. You will be expected to build complete, end-to-end process for new solutions, from scoping to repeatability. We are looking for people ready to lead by example, collaborate with peers, and partner with colleagues and external partners. The ideal candidate combines deep expertise in ad measurement methodologies with the ability to translate complex data insights into actionable recommendations, and brings strong client management skills to every engagement. A passion for the political and advocacy landscape is a plus. You will play a key role in developing a proactive learning agenda to elevate clients' measurement strategy and representing Roku's measurement capabilities at client presentations. An AI-first mindset is essential for success in this role. Candidates must demonstrate proficiency in using AI tools and agents to drive efficiency and scale across measurement workflows – from campaign analysis and insight generation to process automation. For New York Only - The estimated annual salary for this position is between $90,500-121,500 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Consult with advertisers and agencies to create measurement plans that test advertising effectiveness and outcomes. Cultivate strategic relationships with the agency analytics team. Independently lead quantitative and qualitative studies from start-to-finish. This includes scoping study feasibility, performing data analysis, generating reports and presenting results both internally and externally. Manage relationships with third-party measurement providers and work with internal stakeholders to onboard and integrate new providers. Partner closely with marketing, sales, client service, product, partnerships and more to execute against strategic initiatives and develop scalable solutions to industry challenges. Conduct meta-analyses and create case studies utilizing third party measurement data to educate clients, the market, and internal product and analytics teams.   Continuously challenge and improve our array of existing measurement solutions. Provide guidance and mentorship to junior teammates through knowledge sharing and training. We're excited if you have 3-7 years' experience in campaign analytics, attribution, measurement, or research. Media experience (TV, video, digital) is preferred. Experience in designing conversion studies leveraging client 1P data, including familiarity with pixel-based attribution, CAPI and MMP integration, is preferred. Experience in ad effectiveness studies with third-party measurement vendors such as Nielsen, comScore, iSpot, Experian, Kantar, InMarket, etc is preferred. Experience in A/B testing, incrementality measurement, MTA (Multi-Touch Attribution), MMM (Media Mix Model) is preferred. Experience in leveraging AI for analysis, productivity and workflow automation. Ability to run analyses utilizing SQL, Excel, Tableau or similar tools. Ability to work with ambiguous data to create insights that reflect strong business judgment. Speak comfortably in a variety of settings including one-on-one and in front of large group with the ability to adapt communication style for different audiences. Present comfortably to senior level clients independently. Ability to collaborate with cross-functional teams and build close relationships within and across teams. Ability to work independently with agility and prioritize effectively with a strong sense of urgency. Experience working in the measurement space for major political advertisers, including pulling political insights, developing thought leadership and executing campaign measurement is preferred. #LI-KR3 Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.", "summaryDescription" : "Ad Measurement Lead at Roku. Skills: Ad measurement, Research strategy, Analytics, AI tools. Consult advertisers and agencies. Create measurement plans", "postedDate" : "2026-06-14T03:12:45.031", "createdAt" : "2026-06-14T03:12:45.031", "lastUpdated" : "2026-06-15T05:18:08.070", "ingestTimestamp" : "2026-06-14T03:12:45.031", "mongoId" : "6a2c7fc374d8ee00a0956393", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative studies", "Qualitative studies", "Meta-analyses", "Leadership", "Mentoring", "Ad measurement", "Research strategy", "Analytics", "AI tools", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Client management", "Enterprise verticals", "Political verticals", "Advocacy verticals", "Government verticals", "Independent verticals", "TV advertising" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e1ce260f92cbf8e927", "title" : "Economist II, Marketing Measurements, Marketing Measurement and Performance Support (MAPS)", "company" : "Amazon.com Services LLC", "industry" : "Economics, Economist, consumer engagement", "salary" : { "min" : 136000.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:20:47.584", "fingerprint" : "7dc1ec5cea19ecd1b429d1d59ffd14af3b4fb2ec6be397bc03769f5e4e3593e4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101078/apply", "externalId" : "fc7ce61a-c034-4854-bc5c-3c146e33e3af", "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" : "R, Stata, Matlab, SAS", "professionalSkills" : [ "Econometric research", "Structural models", "Marketing measurement" ], "hardSkillsList" : [ "Causal inference", "Regression analysis", "Time-series analysis", "A/B testing" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "majorSkills" : "Econometrics, Causal inference, Marketing measurement", "majorSkillsList" : [ "Econometrics", "Causal inference", "Marketing measurement" ], "coreResponsibilities" : "Develop measurement models, Develop optimization models, Collaborate with scientists, Collaborate with businesses, Collaborate with marketers, Collaborate with software teams, Solve key challenges, Measure incremental impact, Estimate customer actions, Scale measurement solutions, Study measurement systems, Design measurement systems, Build measurement systems, Develop MMM models, Combine econometric techniques, Deliver incrementality estimates, Improve marketing optimization, Lead problem solving, Guide development of frameworks, Write code, Interface between teams, Contribute to advancing technology, Coach junior scientists, Guide junior scientists", "teamCollaboration" : "Data scientists; Applied scientists; Economists; Software teams; Business stakeholders", "domainKnowledge" : "Marketing measurement; Causal inference models; Omni-channel effectiveness; Marketing portfolios; Customer actions; WW marketplaces; Marketing-Mix-Media (MMM); Structural econometrics; Reduced form econometrics; B2C environment; B2B environment", "domainList" : [ "marketing-measurement", "causal-inference-models", "omni-channel-effectiveness", "marketing-portfolios", "customer-actions", "ww-marketplaces", "marketing-mix-media-mmm", "structural-econometrics", "reduced-form-econometrics", "b2c-environment", "b2b-environment" ], "domainSpecificKnowledge" : [ "Marketing measurement", "Causal inference models", "Omni-channel effectiveness", "Marketing portfolios", "Customer actions", "WW marketplaces", "Marketing-Mix-Media (MMM)", "Structural econometrics", "Reduced form econometrics", "B2C environment", "B2B environment" ], "innovationCreativity" : "Develop innovative models; Hands-on innovator; Advancing marketing measurement technology", "problemSolvingSkills" : "Analytical problem solver; Diving into data; Investigations", "outcomesObjectives" : "Drive marketing investment decisions; Improve marketing portfolio optimization; Focus on measurable impact", "qualificationsBasic" : "PhD in Economics, Knowledge of statistical software", "qualificationsPreferred" : "2+ years industry experience, Experience with large datasets, Experience with competition analysis, Experience with marketing strategies, Experience with advertising, Experience with game theory", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Marketing Measurement & Performance Support (MAPS) organization is looking for a experienced Economist interested in solving one of the most challenging business problems in marketing measurement and developing innovative structural causal models. Working with our team of data scientists, applied scientists, and economists, this economist will help redefine scalable marketing measurement at Amazon and its subsidiaries. The MAPS organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The MAPS team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s Stores suit of businesses. MAPS applies industry leading causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon. This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As an Economist, you will be responsible for the design and development of the state-of-the-art measurement and optimization models, while collaborating with other scientists, businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on long term inter-related customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, economists and software developers in the business. Key job responsibilities In this role, you will be a technical leader in Econometric research with significant scope, impact, and high visibility. You will own developing the next generation of Marketing-Mix-Media (MMM) models combining structural and reduced form econometric techniques. Your solution will deliver to business leaders accurate and actionable incrementality estimates to improve their marketing portfolio optimization. As a successful Economist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are proficient in structural models to solve business problems. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide junior scientists in the team to grow the team’s talent and scale the impact of your work. Basic Qualifications: - PhD in Economics or in related field - Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS Preferred Qualifications: - 2+ years of industry, consulting, government, or academic research experience - Experience with handling of large datasets - Experience conducting analysis of competition, marketing strategies, advertising, and game theory 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 $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Economist II, Marketing Measurements, Marketing Measurement and Performance Support (MAPS) at Amazon.com Services LLC. Skills: Econometrics, Causal inference, Marketing measurement. Develop measurement models. Develop optimization models", "postedDate" : "2026-06-13T19:33:36.859", "createdAt" : "2026-06-13T19:33:36.859", "lastUpdated" : "2026-06-15T07:20:47.584", "ingestTimestamp" : "2026-06-13T19:33:36.859", "mongoId" : "68e0a7e1ce260f92cbf8e927", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101078/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Regression analysis", "Time-series analysis", "A/B testing", "Econometrics", "Marketing measurement", "Econometric research", "Structural models", "Causal inference models", "Omni-channel effectiveness", "Marketing portfolios", "Customer actions", "WW marketplaces", "Marketing-Mix-Media (MMM)", "Structural econometrics", "Reduced form econometrics", "B2C environment", "B2B environment" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e34c40e2acd1b99767", "title" : "Software Development Engineer, Media Planning and Measurement", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 158100.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T08:10:50.572", "fingerprint" : "f3975393ae49de1a55d62fe317f2c0b1e6c219b6b7f86e2c09f9b969aa02a69f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413575/apply", "externalId" : "b3b1e272-d2d0-48a7-9138-40783948bf7c", "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" : "TypeScript, Python, AWS, Lambda, DDB, EMR, S3, C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Software development", "System design", "Architecture" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" } ], "majorSkills" : "AI agents, Optimization systems, Advertising technology", "majorSkillsList" : [ "AI agents", "Optimization systems", "Advertising technology" ], "coreResponsibilities" : "Design agentic skills, Integrate MCP tools, Expose budget optimization, Design multi-step workflows, Compose forecasting services, Compose optimization services, Compose explainability services, Deliver planning recommendations, Build scalable APIs, Build batch endpoints, Serve real-time consumers, Serve programmatic consumers, Develop ML-informed optimization, Allocate budgets across channels", "domainKnowledge" : "Budget optimization; Media planning; Advertising channels; Reach curves; Audience overlap; Seasonal models; AI agents; Optimization systems; Advertising technology; Model Context Protocol", "domainList" : [ "budget-optimization", "media-planning", "advertising-channels", "reach-curves", "audience-overlap", "seasonal-models", "ai-agents", "optimization-systems", "advertising-technology", "model-context-protocol" ], "domainSpecificKnowledge" : [ "Budget optimization", "Media planning", "Advertising channels", "Reach curves", "Audience overlap", "Seasonal models", "AI agents", "Optimization systems", "Advertising technology", "Model Context Protocol" ], "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, 1+ years software development engineer experience, 1+ years large-scale software applications experience, 1+ years Object Oriented Design experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 6, 2026 Amazon Ads is the fastest-growing segment of Amazon's business, and Budget Planning Services (BPS) is the intelligence engine behind how advertisers allocate billions in ad spend across Amazon's ecosystem. BPS powers budget optimization, reach forecasting, and media planning recommendations for some of the world's largest brands — helping them decide where to invest across Streaming TV, Display, Sponsored Ads, and emerging channels. We're building the next generation of AI-powered planning infrastructure: a standalone BPS Agent that exposes budget optimization as composable skills via Model Context Protocol (MCP). Our systems serve multiple consumers — from the Ads Planner UI to AI agents (Smart DVA, Sales Assistant) to programmatic APIs used by agencies globally. Think multi-step optimization workflows, agentic orchestration, real-time forecasting, and intelligent budget allocation at scale. Key job responsibilities We're looking for software engineers who want to build at the intersection of AI agents, optimization systems, and advertising technology. You'll design and deliver: - Agentic skills and MCP tool integrations that expose budget optimization to consuming agents and platforms - Multi-step orchestration workflows that compose forecasting, optimization, and explainability services into coherent planning recommendations - Scalable APIs and batch endpoints serving real-time and programmatic consumers (internal agents, agency platforms, sales tools) - Machine learning-informed optimization services that allocate budgets across 40+ advertising channels using reach curves, audience overlap, and seasonal models You'll work across the stack — from TypeScript-based agent infrastructure to Python optimization services to distributed systems on AWS (Lambda, DDB, EMR, S3). 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 - 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 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, CO, Boulder - 143,700.00 - 194,400.00 USD annually USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Media Planning and Measurement at Amazon.com Services LLC. Skills: AI agents, Optimization systems, Advertising technology. Design agentic skills. Integrate MCP tools", "postedDate" : "2026-06-13T14:03:36.922", "createdAt" : "2026-06-13T14:03:36.922", "lastUpdated" : "2026-06-15T08:10:50.572", "ingestTimestamp" : "2026-06-13T14:03:36.922", "mongoId" : "69fda4e34c40e2acd1b99767", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413575/apply", "salaryAnnualMin" : 158100, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture", "AI agents", "Optimization systems", "Advertising technology", "Reliability", "Scaling", "Budget optimization", "Media planning", "Advertising channels", "Reach curves", "Audience overlap", "Seasonal models", "Model Context Protocol" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "69e104412beec4dd3def2715", "title" : "Principal, Technical Program Mgr. , Brand Measurement, Measurement, Ad Tech, and Data Science (MADS)", "company" : "Amazon Advertising LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, Advertising", "salary" : { "min" : 194000.0, "max" : 263400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T07:19:07.793", "fingerprint" : "f23ace4cf5dd32a4159f41b80b98d659c3bb1d9253349029718307425cc1661a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386699/apply", "externalId" : "0ef77078-b564-4268-aadb-fcb86335a548", "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" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Science, Ad Tech, Measurement", "professionalSkills" : [ "Program Management", "Product Management", "Project Management", "Stakeholder Management", "Cross-functional Team Leadership" ], "hardSkillsList" : [ "Technical Program Management", "Product Development", "Data Analysis" ], "hardSkills" : [ { "name" : "Technical Program Management", "level" : "intermediate" }, { "name" : "Product Development", "level" : "intermediate" }, { "name" : "Data Analysis", "level" : "intermediate" } ], "majorSkills" : "Technical Program Management, Brand Measurement, Ad Tech, Data Science", "majorSkillsList" : [ "Technical Program Management", "Brand Measurement", "Ad Tech", "Data Science" ], "coreResponsibilities" : "Define and launch products and features, Manage complex, cross-functional programs, Drive alignment across multiple teams, Identify and mitigate risks, Communicate program status to stakeholders, Develop and execute program plans, Influence product strategy, Contribute to the overall success of the MADS", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Data Science teams; Marketing teams", "projectManagementSkills" : [ "Program Management", "Product Management", "Agile Methodologies" ], "domainKnowledge" : "Brand Measurement; Advertising Technology; Data Science; Measurement; Ad Tech; MADS", "domainList" : [ "brand-measurement", "advertising-technology", "data-science", "measurement", "ad-tech", "mads" ], "domainSpecificKnowledge" : [ "Brand Measurement", "Advertising Technology", "Data Science", "Measurement", "Ad Tech", "MADS" ], "communicationSkills" : "Executive communication; Stakeholder communication", "problemSolvingSkills" : "Risk Mitigation; Problem Solving", "outcomesObjectives" : "Launch products and features; Drive alignment across teams; Mitigate program risks; Contribute to MADS success", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 7+ years of experience in program or project management, Experience defining and launching products and features", "qualificationsPreferred" : "Master's degree or MBA, Experience in advertising technology, Experience in data science, Experience in brand measurement", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced, customer-focused Principal Technical Program Manager to lead the development of innovative solutions in brand measurement. This role will play a pivotal part in helping advertisers measure, analyze, and optimize their brand-building campaigns across Amazon Ads. By delivering performance reporting and actionable AI driven insights, our team empowers global advertisers to connect their media investments with real customer outcomes. If you’re passionate about data-driven decision-making and developing solutions that impact millions of customers, this is the role for you! Key job responsibilities As a Principal TPM, you will own the planning, execution, and delivery of large-scale technical programs that span multiple engineering teams, product organizations, and business stakeholders. You'll work at the intersection of advertising technology, machine learning, and distributed systems to solve ambiguous problems that shape the future of digital advertising. - Own end-to-end program management for strategic advertising technology initiatives spanning multiple teams and organizations - Drive technical strategy and roadmap alignment across engineering, product, science, and business teams - Lead cross-functional teams through complex technical challenges in areas such as ad serving, campaign management, measurement, and optimization - Establish program governance, metrics, and reporting mechanisms to ensure visibility and accountability at the VP level - Identify and mitigate technical and operational risks across large-scale distributed systems serving billions of ad requests daily - Partner with engineering leaders to influence architecture decisions and ensure scalability, reliability, and performance - Build and maintain relationships with senior stakeholders across Amazon Ads, AWS, and Retail organizations - Drive operational excellence through process improvements, automation, and best practices - Mentor and develop other TPMs across the organization - Represent Amazon Ads technical programs in executive-level reviews and planning sessions Basic Qualifications: - 7+ years of working directly with engineering teams experience - 7+ years of technical product or program management experience - 5+ years of software development experience - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience managing programs across cross functional teams, building processes and coordinating release schedules - 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. 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 - 194,700.00 - 263,400.00 USD annually", "summaryDescription" : "Principal, Technical Program Mgr. , Brand Measurement, Measurement, Ad Tech, and Data Science (MADS) at Amazon Advertising LLC. Skills: Technical Program Management, Brand Measurement, Ad Tech, Data Science. Define and launch products and features. Manage complex, cross-functional programs", "postedDate" : "2026-06-13T19:03:53.501", "createdAt" : "2026-06-13T19:03:53.501", "lastUpdated" : "2026-06-15T07:19:07.793", "ingestTimestamp" : "2026-06-13T19:03:53.501", "mongoId" : "69e104412beec4dd3def2715", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386699/apply", "salaryAnnualMin" : 194000, "salaryAnnualMax" : 263400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Technical Program Management", "Product Development", "Data Analysis", "Brand Measurement", "Ad Tech", "Data Science", "Program Management", "Product Management", "Project Management", "Stakeholder Management", "Cross-functional Team Leadership", "Agile Methodologies", "Advertising Technology", "Measurement", "MADS" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6949b14570f0b99d588271bd", "title" : "Mixed Abilities Teacher", "company" : "Allison Traditional Magnet Middle School", "industry" : "Education", "salary" : { "min" : 55000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Mixed Abilities Teacher in Allison Traditional Magnet Middle School, United States, adjusted for industry and seniority." }, "location" : "Allison Traditional Magnet Middle School", "locations" : [ "Allison Traditional Magnet Middle School", "221 S. Seneca", "67213" ], "certifications" : [ "Kansas teaching license" ], "timestamp" : "2026-06-15T08:26:30.944", "fingerprint" : "846f205b765395d8e45feb6ec236078c9a114466eda7d7ffff2ff324b5b94a15", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=42513", "externalId" : "42513", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Curriculum development", "Instructional design", "Behavior management" ], "hardSkillsList" : [ "IEP development", "Differentiated instruction", "Behavioral strategies" ], "hardSkills" : [ { "name" : "IEP development", "level" : "intermediate" }, { "name" : "Differentiated instruction", "level" : "intermediate" }, { "name" : "Behavioral strategies", "level" : "intermediate" } ], "majorSkills" : "Special education, IEP implementation, Student instruction", "majorSkillsList" : [ "Special education", "IEP implementation", "Student instruction" ], "coreResponsibilities" : "Plan student instruction, Lead student instruction, Facilitate student instruction, Provide student instruction, Follow student IEPs, Ensure curriculum instruction, Participate on pre-assessment teams, Diagnose student needs, Structure IEPs, Implement IEPs, Diagnose student learning, Structure daily expectations, Communicate instructional strategies, Report student data, Negotiate schedules, Communicate with stakeholders, Provide differentiated instruction, Control classroom behavior, Teach individual behavior, Adapt course content, Adjust reading levels, Discern learning styles, Build memory skills, Build study skills, Assist students academically, Assist students daily living, Assist students social skills, Present learning opportunities, Support regular teachers, Prepare events, Display reinforcement activities, Evaluate student progress, Plan assessments, Design subject-based reinforcement, Design grading system, Collect student data, Enter student data, Report student progress, Provide positive role model, Develop classroom structure, Teach classroom rules, Review classroom routines, Design classroom rules, Design systems for behavior, Prepare classroom physical condition, Maintain clean classroom, Maintain organized classroom, Keep daily records, Supervise paraprofessionals, Manage job duties", "teamCollaboration" : "Multi-disciplinary team; Regular education staff; Special education staff; Diverse population", "domainKnowledge" : "Special Education; Individual Education Program (IEP); Standards-based instruction", "domainList" : [ "special-education", "individual-education-program-iep", "standards-based-instruction" ], "domainSpecificKnowledge" : [ "Special Education", "Individual Education Program (IEP)", "Standards-based instruction" ], "toolProficiency" : [ "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Daily records", "specialRequirements" : "Limited travel, Lift students, Dress students, Position students", "qualificationsBasic" : "Valid Kansas teaching license, Master's Degree in Special Education, Special Education Waiver obtained", "qualificationsPreferred" : "Prior teaching experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Mixed Abilities Teacher Position Function: The person filling this position plans, leads, facilitates, and provides instruction for maximum student learning in his/her least restrictive learning environment. This position follows each student’s standards-based Individual Education Program (IEP) to ensure appropriate curriculum-based instruction. Essential Performance Responsibilities: Participates, as appropriate, on pre-assessment teams to determine necessity for comprehensive student evaluation; initiates, schedules, and attends IEP meetings; works with multi-disciplinary team to diagnose need; structures/implements IEP for each student identified Defines, structures, and communicates daily expectations according to state standards and IEP including, but not limited to, course goals, objectives, learning methods, and activities Communicates with parents, regular education staff members, special education staff members, and other appropriate stakeholders on course instructional strategies and objectives, students’ grasp of material, outcomes and perspectives for applications of materials learned Receives and reports student progress; in-puts student data via computer; negotiates schedules and communicates with all pertinent participants (administration, parents, staff, students, etc.) Provides differentiated instruction based on the student’s individual level of functioning and preferred/necessary learning modalities Controls classroom and teaches individual behavior through classroom structure, routine, communication opportunities, and individualized behavior methods; adapts and adjusts course content and reading levels to specify skills to be taught; discerns learning styles and means of building memory and study skills; assists individual students in achieving academic, daily living, and social skills learning objectives by working with them individually and in small groups Presents various learning opportunities appropriate to each student’s IEP including, but not limited to, classroom structure, multi-media, assistive technology, alternative communication opportunities, support of regular classroom teachers, and other presentations and/or opportunities inside or outside Prepares and displays events and reinforcement activities which encourage participation Evaluates according to state standards and student IEPs Plans assessments for evaluation to include, but not limited to, various diagnostic techniques; standardized survey and criterion-referenced test; teacher-developed oral and written tests; student personal indices (effort, potential, interests, memory) Designs subject-based reinforcement to follow assessments and student’s learning objectives (computer, lab activities, working independently or on group projects, field/community reinforcement) Designs a grading system which encourages motivation and participation; collects and enters student data in computer from charts and observations; reports progress on a regular basis as required Provides a positive role model of appropriate and respectful interactions with students and staff Develops, teaches, and reviews clear and concise classroom structure, rules, routines, procedures, and expectations individualized to student need Designs classroom rules for student interaction (courtesy and respect for belongings, space, and ideas), self-control, working independently, and appropriately gaining the floor; designs systems for handling all the behavior (from simple infractions to severe behavior) Prepares physical condition of classroom to reflect subject matter to facilitate student learning and maintains a clean and organized classroom Keeps daily records on, but not limited to, student attendance, learning and social needs, assignments, assessments and discipline; supervises paraprofessionals Manages all job duties with the mobility, agility, dexterity, and focused observation necessary to adequately perform the essential duties as described above Additional Duties: Assists with additional duties as assigned by supervisor. Equipment: This position may require the ability to use SMART boards and iPads in addition to basic office equipment such as computers, copiers, scanners, and fax machine. Must always comply with USD 259’s guidelines for equipment use. Travel: Limited travel between schools and central offices may be required. Physical and Mental Demands: Good physical health and ability to implement behavioral strategies as well as to lift, dress, and position students as needed for self-care and safety. Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Ability to communicate effectively with a Supervisor when their discretion is needed Ability to perform as an effective team player Ability to plan, organize, make decisions and prioritize work to meet the daily demands of the building Exhibits a professional manner and a positive attitude Uses good judgment to make decisions on recurring assignments Displays a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company’s mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee’s supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Valid Kansas teaching license required Master’s Degree in Special Education or enrolled in a Special Education Degree Program with Plan of Study on file with District and Special Education Waiver obtained Prior teaching experience preferred FLSA Status: Exempt", "summaryDescription" : "Mixed Abilities Teacher at Allison Traditional Magnet Middle School. Skills: Special education, IEP implementation, Student instruction. Plan student instruction. Lead student instruction", "createdAt" : "2026-06-14T01:49:33.480", "lastUpdated" : "2026-06-15T08:26:30.944", "ingestTimestamp" : "2026-06-14T01:49:33.480", "mongoId" : "6949b14570f0b99d588271bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "IEP development", "Differentiated instruction", "Behavioral strategies", "Special education", "IEP implementation", "Student instruction", "Curriculum development", "Instructional design", "Behavior management", "Special Education", "Individual Education Program (IEP)", "Standards-based instruction", "Kansas teaching license", "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "skillCount" : 19, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69d5e4972beec4dd3d931aba", "title" : "Software Development Engineer, Media Planning and Measurement", "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" : "2026-06-15T02:22:12.679", "fingerprint" : "fc1117a9c12bfd25f3ca142753384268ea21a1619fb6d2db6e82803561d401e2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384607/apply", "externalId" : "046afb74-f9e7-4e05-aa84-b2084f268fd0", "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" : "C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Object Oriented Design" ], "hardSkills" : [ { "name" : "Object Oriented Design", "level" : "intermediate" } ], "majorSkills" : "Media planning, Agentic experience, Natural language conversation", "majorSkillsList" : [ "Media planning", "Agentic experience", "Natural language conversation" ], "coreResponsibilities" : "Design core system, Build core system, Own development lifecycle, Own technical solutions, Decompose problem statements, Write code, Ship to customers, Deliver production software, Iterative development cycles", "domainKnowledge" : "Media planning; Reach planning; Media strategies; Media mixes; Cross-product reach forecasting; Full-funnel budget allocation", "domainList" : [ "media-planning", "reach-planning", "media-strategies", "media-mixes", "cross-product-reach-forecasting", "full-funnel-budget-allocation" ], "domainSpecificKnowledge" : [ "Media planning", "Reach planning", "Media strategies", "Media mixes", "Cross-product reach forecasting", "Full-funnel budget allocation" ], "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture, 1+ years large-scale software applications, 1+ years Object Oriented Design, Experience programming one language", "qualificationsPreferred" : "3+ years full software development lifecycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads is a fast-growing business at Amazon, delivering billions of ad impressions and millions of clicks daily through a portfolio of self-service performance advertising products that drive discovery and sales for our Retail and Marketplace businesses. We're seeking a Software Development Engineer to own and evolve our media planning tools and advance reach planning functionality to deliver more accurate, actionable media plans for agencies and advertisers. You will focus on building the new agentic experience, enabling media planners and strategists to build media strategies and optimize media mixes through natural language conversation. These agentic skills help planners from getting instant answers to simple questions to exploring complex topics, including cross-product reach forecasting and full-funnel budget allocation strategies. This is a high-visibility role where shared ownership, intellectual curiosity, and customer obsession drive everything we build. Key job responsibilities - Design and build the core system of the agent workflow, owning the full development lifecycle from problem definition through production deployment. - Own technical solutions end-to-end: decompose broad problem statements into concrete designs, write the code, and ship to customers. - Deliver production-ready software through iterative development cycles with frequent releases. 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 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 - 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 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", "summaryDescription" : "Software Development Engineer, Media Planning and Measurement at Amazon.com Services LLC. Skills: Media planning, Agentic experience, Natural language conversation. Design core system. Build core system", "postedDate" : "2026-06-13T08:14:17.261", "createdAt" : "2026-06-13T08:14:17.261", "lastUpdated" : "2026-06-15T02:22:12.679", "ingestTimestamp" : "2026-06-13T08:14:17.261", "mongoId" : "69d5e4972beec4dd3d931aba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384607/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Object Oriented Design", "Media planning", "Agentic experience", "Natural language conversation", "System design", "Architecture", "Reach planning", "Media strategies", "Media mixes", "Cross-product reach forecasting", "Full-funnel budget allocation" ], "skillCount" : 11, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25146274d8ee00a00bb700", "title" : "Principal Product Mgr. - Tech, Brand Measurement, Measurement, Ad Tech, and Data Science (MADS)", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Advertising", "salary" : { "min" : 197000.0, "max" : 267800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:08:46.292", "fingerprint" : "c09fd032d3f396b01c30bbb5a69922faf7fde41c632b51f4574ac377b0d913e7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440511/apply", "externalId" : "cae909b3-455f-4f63-870d-79ce070c7e4d", "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", "professionalSkills" : [ "Product strategy", "Roadmap development", "Data-driven products", "Scalable architectures", "Event-driven architectures" ], "hardSkillsList" : [ "Problem solving", "Analytical skills" ], "hardSkills" : [ { "name" : "Problem solving", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" } ], "majorSkills" : "Brand measurement, Ad tech, Data science, Product management", "majorSkillsList" : [ "Brand measurement", "Ad tech", "Data science", "Product management" ], "coreResponsibilities" : "Define strategy, roadmap, delivery, Build data-driven reporting products, Help advertisers understand effectiveness, Identify optimization opportunities, Drive tangible business outcomes, Work backward from customer needs, Partner with engineering, Build scalable event-driven architectures, Drive adoption with stakeholders, Deliver campaign reporting, Produce analytics and reporting insights", "teamCollaboration" : "Engineering teams; Data science teams; Design teams; Internal stakeholders; External stakeholders", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Brand measurement; Ad tech; Data science", "domainList" : [ "brand-measurement", "ad-tech", "data-science" ], "domainSpecificKnowledge" : [ "Brand measurement", "Ad tech", "Data science" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Experiment and innovate", "problemSolvingSkills" : "Analytical skills; Problem solving skills", "outcomesObjectives" : "Grow their business", "qualificationsBasic" : "4+ years end to end product delivery, 8+ years technical product management, Bachelor's degree, Experience feature delivery tradeoffs, Experience owning roadmap strategy, Experience leading engineering discussions, Experience technical product management", "qualificationsPreferred" : "Experience working with Engineers, Experience project management methodologies, Experience business analysis, Experience process improvement", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced, customer-focused Principal Product Manager – Technical to lead the development of innovative solutions in brand measurement. This role will play a pivotal part in helping advertisers measure, analyze, and optimize their brand-building campaigns across Amazon Ads. By delivering performance reporting and actionable insights, our team empowers global advertisers to connect their media investments with real customer outcomes. If you’re passionate about data-driven decision-making and developing solutions that impact millions of customers, this is the role for you! As part of the Brand Measurement team, you will define the strategy, roadmap, and delivery of technical solutions designed to help advertisers maximize their brand-building efforts. You will collaborate closely with engineering, data science, and design teams to build robust, data-driven reporting products. You will help advertisers understand the effectiveness of their campaigns, identify optimization opportunities, and drive tangible business outcomes. Your responsibilities will include working backward from the customer to identify needs, partnering with engineering to build scalable event-driven architectures to process billions of impressions and conversions daily, and driving adoption through close collaboration with internal and external stakeholders. Amazon is investing heavily in building a world class advertising business and we are at the forefront of that explosive growth. We deliver campaign reporting for all of Amazon Ads and produce analytics and reporting insights that are used by advertisers to grow their business every day. We are highly motivated and collaborative with an entrepreneurial spirit and agile bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team with a relentless focus on the customer, you’ve come to the right place. The ideal candidate will have a proven track record of delivering data-driven products at scale, with strong analytical and problem-solving skills. They will have excellent written and verbal communication skills, enabling them to effectively influence stakeholders and drive cross-functional collaboration. Basic Qualifications: - 4+ years of end to end product delivery experience - 8+ years of technical product or program management experience - Bachelor's degree - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience leading engineering discussions around technology decisions and strategy related to a product - Experience technical product management Preferred Qualifications: - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement 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 - 197,900.00 - 267,800.00 USD annually USA, WA, SEATTLE - 179,900.00 - 243,400.00 USD annually", "summaryDescription" : "Principal Product Mgr. - Tech, Brand Measurement, Measurement, Ad Tech, and Data Science (MADS) at Amazon.com Services LLC. Skills: Brand measurement, Ad tech, Data science, Product management. Define strategy, roadmap, delivery. Build data-driven reporting products", "postedDate" : "2026-06-13T09:17:38.070", "createdAt" : "2026-06-13T09:17:38.070", "lastUpdated" : "2026-06-15T04:08:46.292", "ingestTimestamp" : "2026-06-13T09:17:38.070", "mongoId" : "6a25146274d8ee00a00bb700", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440511/apply", "salaryAnnualMin" : 197000, "salaryAnnualMax" : 267800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Problem solving", "Analytical skills", "Brand measurement", "Ad tech", "Data science", "Product management", "Product strategy", "Roadmap development", "Data-driven products", "Scalable architectures", "Event-driven architectures", "Roadmap strategy", "Roadmap definition" ], "skillCount" : 13, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3082cbf292fd229c06edab", "title" : "Mid-weight Print Designer", "company" : "Canva", "industry" : "Computer Software", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-weight Print Designer in Sydney, Australia, adjusted for mid-level seniority and the technology industry." }, "location" : "Sydney, Australia", "locations" : [ "Sydney", "Australia" ], "timestamp" : "2026-06-16T11:18:52.178", "fingerprint" : "88b93addd029d842ae9da1c4c85f4842603b8715434b489c89ce573504b4b59c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Canva/6000000001148225-mid-weight-print-designer-9-month-contract-", "externalId" : "6000000001148225", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Typography, Layout, Color, Composition, CMYK, AI", "professionalSkills" : [ "Print production", "File setup", "Quality assurance", "Prompt engineering", "Data analysis" ], "hardSkillsList" : [ "Print design", "Template design", "File preparation", "Pre-flight checks", "AI ideation", "Workflow integration", "Prompt refinement", "Evaluation sets", "Style guides", "Ingest workflows", "Naming conventions", "Metadata management", "Rights management", "Quality assurance", "Rollback procedures", "Taxonomy design", "Audio quality analysis", "Audio diversity", "Audio effectiveness", "Playbook publishing", "Safety escalation", "Rights escalation", "Consent escalation" ], "hardSkills" : [ { "name" : "Print design", "level" : "intermediate" }, { "name" : "Template design", "level" : "intermediate" }, { "name" : "File preparation", "level" : "intermediate" }, { "name" 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"intermediate" }, { "name" : "Safety escalation", "level" : "intermediate" }, { "name" : "Rights escalation", "level" : "intermediate" }, { "name" : "Consent escalation", "level" : "intermediate" } ], "majorSkills" : "Print design, Production workflows, AI integration", "majorSkillsList" : [ "Print design", "Production workflows", "AI integration" ], "coreResponsibilities" : "Create high-quality print designs, Apply typography, layout, colour, and composition principles, Ensure designs are functional, editable, and scalable, Uphold Canva’s quality bar, Prepare print-ready files, Conduct pre-flight checks, Manage file setup, packaging, and export requirements, Understand and apply print production methods, Design templates and assets that are modular, reusable,, Contribute to print design systems and best practices, Ensure outputs work across multiple formats, sizes, and, Use AI tools to accelerate ideation, variation, and, Apply design judgement to ensure outputs meet quality, Explore ways to scale content production responsibly using, Collaborate with design, product, and print stakeholders, Communicate design decisions clearly and concisely, Actively participate in critiques and feedback loops, Build working relationships across teams, Generate AI audio, Refine prompts and presets, Manage evaluation sets, Align to style guides and guardrails, Build ingest-ready workflows, Support discoverability through clear naming, tagging, and taxonomy, Analyse data and feedback to improve audio quality,, Publish reusable docs and playbooks, Escalate safety, rights, or consent concerns", "teamCollaboration" : "Design stakeholders; Product stakeholders; Print stakeholders; Ingest teams; Templates teams", "domainKnowledge" : "Print production methods; Design systems; AI workflows", "domainList" : [ "print-production-methods", "design-systems", "ai-workflows" ], "domainSpecificKnowledge" : [ "Print production methods", "Design systems", "AI workflows" ], "toolProficiency" : [ "Adobe", "Affinity", "Prepress Tools", "Print Production Tools", "Pantone", "ICC Profiles", "Generative AI Tools" ], "communicationSkills" : "Communicate design decisions", "documentationSkills" : "Publishing docs; Publishing playbooks", "innovationCreativity" : "AI ideation; Explore ways to scale content production", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Generate AI audio with quality, clarity, and compliance at pace", "qualificationsBasic" : "Foundation in visual design fundamentals, Ability to create polished, production-ready design work, Understanding of designing for templates and scalable systems, Solid understanding of print processes and production workflows, Experience preparing print-ready files, Knowledge of pre-press, file setup, and export requirements, Proficiency in design tools, Familiarity with file structures and production pipelines, Ability to manage multiple deliverables efficiently, Emerging ability to use AI tools to support design workflows, Understanding of how to balance AI efficiency with human craft and judgement", "qualificationsPreferred" : "Experience with Affinity, Experience with Prepress and Print Production Tools, Experience with Pantone and ICC Profiles, Experience with Generative AI Tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Alongside our global campuses, we also collaborate with talented contractors and freelancers from all over the world to help us achieve our crazy big goals. This role is a 9-month engagement, working full-time hours per week. What you’d be doing in this role As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. At the moment, this role is focused on: Design & Craft * Create high-quality print designs across formats (marketing materials, templates, collateral) * Apply strong typography, layout, colour, and composition principles * Ensure designs are functional, editable, and scalable within Canva templates * Uphold Canva’s “one quality bar” across all print outputs Print Production & Technical Execution * Prepare print-ready files, including correct bleed, trim, colour profiles (CMYK), and resolution * Conduct pre-flight checks to ensure accuracy and consistency before production * Manage file setup, packaging, and export requirements for different print outputs * Understand and apply print production methods and constraints Systems & Scalability * Design templates and assets that are modular, reusable, and user-friendly * Contribute to print design systems and best practices * Ensure outputs work across multiple formats, sizes, and use cases AI & Workflow Integration * Use AI tools to accelerate ideation, variation, and production workflows * Apply design judgement to ensure outputs meet quality and usability standards * Explore ways to scale content production responsibly using AI Collaboration & Communication * Collaborate with design, product, and print stakeholders * Communicate design decisions clearly and concisely * Actively participate in critiques and feedback loops * Build strong working relationships across teams * Generating AI audio that ships — music, SFX, and voice — with quality, clarity, and compliance at pace. * Refining prompts and presets, managing evaluation sets, and aligning to style guides and guardrails. * Building ingest-ready workflows (naming, metadata, rights, QA, rollback) with Ingest and Templates teams. * Supporting discoverability through clear naming, tagging, and taxonomy design. * Analysing data and feedback to improve audio quality, diversity, and effectiveness. * Publishing reusable docs and playbooks to help others scale their workflows with confidence. * Escalating any safety, rights, or consent concerns to appropriate teams with context and clarity. You're probably a match if Core Craft & Design * Strong foundation in visual design fundamentals (typography, layout, colour, composition) * Ability to create polished, production-ready design work * Understanding of designing for templates and scalable systems Print & Production Expertise * Solid understanding of print processes and production workflows * Experience preparing print-ready files (bleed, trim, colour profiles, resolution) * Knowledge of pre-press, file setup, and export requirements * Attention to detail in pre-flight and quality assurance Tools & Workflow * Proficiency in design tools (Adobe/Affinity, Prepress and Print Production Tools, Pantone and ICC Profiles, Generative AI Tools) * Familiarity with file structures and production pipelines * Ability to manage multiple deliverables efficiently AI & Future-Ready Skills * Emerging ability to use AI tools to support design workflows * Understanding of how to balance AI efficiency with human craft and judgement Other stuff to know We make hiring decisions to engage contractors based on your experience, skills and passion. When you signify interest in the Project, please tell us the pronouns you use and any reasonable adjustments you may need during the contractor-accreditation interview process. Please note that contractor-accreditation meetings are conducted virtually. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Check out lifeatcanva.com for more info.", "summaryDescription" : "Mid-weight Print Designer at Canva. Skills: Print design, Production workflows, AI integration. Create high-quality print designs. Apply typography, layout, colour, and composition principles", "postedDate" : "2026-06-11T21:00:36.000", "createdAt" : "2026-06-16T01:41:44.813", "lastUpdated" : "2026-06-16T11:18:52.178", "ingestTimestamp" : "2026-06-16T01:41:44.813", "mongoId" : "6a3082cbf292fd229c06edab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Print design", "Template design", "File preparation", "Pre-flight checks", "AI ideation", "Workflow integration", "Prompt refinement", "Evaluation sets", "Style guides", "Ingest workflows", "Naming conventions", "Metadata management", "Rights management", "Quality assurance", "Rollback procedures", "Taxonomy design", "Audio quality analysis", "Audio diversity", "Audio effectiveness", "Playbook publishing", "Safety escalation", "Rights escalation", "Consent escalation", "Production workflows", "AI integration", "Print production", "File setup", "Prompt engineering", "Data analysis", "Print production methods", "Design systems", "AI workflows", "Adobe", "Affinity", "Prepress Tools", "Print Production Tools", "Pantone", "ICC Profiles", "Generative AI Tools" ], "skillCount" : 39, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d4e9574d8ee00a0b6228a", "title" : "Mid-weight Print Designer", "company" : "Canva", "industry" : "Computer Software", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Based on market data for a Mid-weight Print Designer in Sydney, Australia, with mid-level experience and a mid-level seniority, adjusted for the technology industry and company size." }, "location" : "Sydney, Australia", "locations" : [ "Sydney", "Australia" ], "timestamp" : "2026-06-16T06:06:44.364", "fingerprint" : "533efd460c1dac69f472e673090445643a40c6706dc7ec70397a9173f6824971", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Canva/6000000001148225-mid-weight-print-designer-9-month-contract-", "externalId" : "6000000001148225", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Typography, Layout, Color, Composition, CMYK, AI", "professionalSkills" : [ "Print production", "File setup", "Quality assurance", "Prompt engineering", "Data analysis" ], "hardSkillsList" : [ "Print design", "Template design", "File preparation", "Pre-flight checks", "AI ideation", "AI variation", "AI production", "Prompt refinement", "Metadata management", "Taxonomy design", "Workflow scaling" ], "hardSkills" : [ { "name" : "Print design", "level" : "intermediate" }, { "name" : "Template design", "level" : "intermediate" }, { "name" : "File preparation", "level" : "intermediate" }, { "name" : "Pre-flight checks", "level" : "intermediate" }, { "name" : "AI ideation", "level" : "intermediate" }, { "name" : "AI variation", "level" : "intermediate" }, { "name" : "AI production", "level" : "intermediate" }, { "name" : "Prompt refinement", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Taxonomy design", "level" : "intermediate" }, { "name" : "Workflow scaling", "level" : "intermediate" } ], "majorSkills" : "Print design, Production workflows, AI integration", "majorSkillsList" : [ "Print design", "Production workflows", "AI integration" ], "coreResponsibilities" : "Create high-quality print designs, Apply typography, layout, colour, and composition principles, Ensure designs are functional, editable, and scalable, Uphold Canva’s quality bar, Prepare print-ready files, Conduct pre-flight checks, Manage file setup, packaging, and export requirements, Understand and apply print production methods, Design templates and assets that are modular, reusable,, Contribute to print design systems and best practices, Ensure outputs work across multiple formats, sizes, and, Use AI tools to accelerate ideation, variation, and, Apply design judgement to ensure outputs meet quality, Explore ways to scale content production responsibly using, Collaborate with design, product, and print stakeholders, Communicate design decisions clearly and concisely, Actively participate in critiques and feedback loops, Build working relationships across teams, Generate AI audio, Refine prompts and presets, Manage evaluation sets, Align to style guides and guardrails, Build ingest-ready workflows, Support discoverability through clear naming, tagging, and taxonomy, Analyse data and feedback to improve audio quality,, Publish reusable docs and playbooks, Escalate safety, rights, or consent concerns", "teamCollaboration" : "Design stakeholders; Product stakeholders; Print stakeholders; Ingest teams; Templates teams", "domainKnowledge" : "Print production methods; Design systems; AI workflows", "domainList" : [ "print-production-methods", "design-systems", "ai-workflows" ], "domainSpecificKnowledge" : [ "Print production methods", "Design systems", "AI workflows" ], "toolProficiency" : [ "Adobe", "Affinity", "Prepress tools", "Print Production Tools", "Pantone", "ICC Profiles", "Generative AI Tools" ], "communicationSkills" : "Communicate design decisions", "documentationSkills" : "Publish reusable docs; Publish playbooks", "innovationCreativity" : "AI ideation; AI variation", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Foundation in visual design fundamentals, Ability to create polished, production-ready design work, Understanding of designing for templates and scalable systems, Solid understanding of print processes and production workflows, Experience preparing print-ready files, Knowledge of pre-press, file setup, and export requirements, Proficiency in design tools, Familiarity with file structures and production pipelines, Ability to manage multiple deliverables efficiently, Emerging ability to use AI tools to support design workflows, Understanding of how to balance AI efficiency with human craft and judgement", "qualificationsPreferred" : "Experience with Affinity, Experience with Prepress and Print Production Tools, Experience with Pantone and ICC Profiles, Experience with Generative AI Tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Alongside our global campuses, we also collaborate with talented contractors and freelancers from all over the world to help us achieve our crazy big goals. This role is a 9-month engagement, working full-time hours per week. What you’d be doing in this role As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. At the moment, this role is focused on: Design & Craft * Create high-quality print designs across formats (marketing materials, templates, collateral) * Apply strong typography, layout, colour, and composition principles * Ensure designs are functional, editable, and scalable within Canva templates * Uphold Canva’s “one quality bar” across all print outputs Print Production & Technical Execution * Prepare print-ready files, including correct bleed, trim, colour profiles (CMYK), and resolution * Conduct pre-flight checks to ensure accuracy and consistency before production * Manage file setup, packaging, and export requirements for different print outputs * Understand and apply print production methods and constraints Systems & Scalability * Design templates and assets that are modular, reusable, and user-friendly * Contribute to print design systems and best practices * Ensure outputs work across multiple formats, sizes, and use cases AI & Workflow Integration * Use AI tools to accelerate ideation, variation, and production workflows * Apply design judgement to ensure outputs meet quality and usability standards * Explore ways to scale content production responsibly using AI Collaboration & Communication * Collaborate with design, product, and print stakeholders * Communicate design decisions clearly and concisely * Actively participate in critiques and feedback loops * Build strong working relationships across teams * Generating AI audio that ships — music, SFX, and voice — with quality, clarity, and compliance at pace. * Refining prompts and presets, managing evaluation sets, and aligning to style guides and guardrails. * Building ingest-ready workflows (naming, metadata, rights, QA, rollback) with Ingest and Templates teams. * Supporting discoverability through clear naming, tagging, and taxonomy design. * Analysing data and feedback to improve audio quality, diversity, and effectiveness. * Publishing reusable docs and playbooks to help others scale their workflows with confidence. * Escalating any safety, rights, or consent concerns to appropriate teams with context and clarity. You're probably a match if Core Craft & Design * Strong foundation in visual design fundamentals (typography, layout, colour, composition) * Ability to create polished, production-ready design work * Understanding of designing for templates and scalable systems Print & Production Expertise * Solid understanding of print processes and production workflows * Experience preparing print-ready files (bleed, trim, colour profiles, resolution) * Knowledge of pre-press, file setup, and export requirements * Attention to detail in pre-flight and quality assurance Tools & Workflow * Proficiency in design tools (Adobe/Affinity, Prepress and Print Production Tools, Pantone and ICC Profiles, Generative AI Tools) * Familiarity with file structures and production pipelines * Ability to manage multiple deliverables efficiently AI & Future-Ready Skills * Emerging ability to use AI tools to support design workflows * Understanding of how to balance AI efficiency with human craft and judgement Other stuff to know We make hiring decisions to engage contractors based on your experience, skills and passion. When you signify interest in the Project, please tell us the pronouns you use and any reasonable adjustments you may need during the contractor-accreditation interview process. Please note that contractor-accreditation meetings are conducted virtually. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Check out lifeatcanva.com for more info.", "summaryDescription" : "Mid-weight Print Designer at Canva. Skills: Print design, Production workflows, AI integration. Create high-quality print designs. Apply typography, layout, colour, and composition principles", "postedDate" : "2026-06-11T21:00:36.000", "createdAt" : "2026-06-14T18:37:10.626", "lastUpdated" : "2026-06-16T06:06:44.364", "ingestTimestamp" : "2026-06-14T18:37:10.626", "mongoId" : "6a2d4e9574d8ee00a0b6228a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Print design", "Template design", "File preparation", "Pre-flight checks", "AI ideation", "AI variation", "AI production", "Prompt refinement", "Metadata management", "Taxonomy design", "Workflow scaling", "Production workflows", "AI integration", "Print production", "File setup", "Quality assurance", "Prompt engineering", "Data analysis", "Print production methods", "Design systems", "AI workflows", "Adobe", "Affinity", "Prepress tools", "Print Production Tools", "Pantone", "ICC Profiles", "Generative AI Tools" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a70db74d8ee00a0647bc0", "title" : "Mid-weight Digital Designer", "company" : "Synthesia", "industry" : "Commercial", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-weight Digital Designer in London, UK, with adjustments for mid-level seniority and the technology industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-14T06:34:19.621", "fingerprint" : "f122c50433728be5d755f37c26f5c198f49325428d31f1df19ba486df3d0a014", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Synthesia/661c1bb9-6aa6-4110-990a-c09ff0923e4e/application", "externalId" : "661c1bb9-6aa6-4110-990a-c09ff0923e4e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Figma, Photoshop, Illustrator, After Effects, Premiere Pro", "professionalSkills" : [ "Visual storytelling", "Brand identity", "Motion graphics", "Branding", "Typography" ], "hardSkillsList" : [ "Design experience" ], "hardSkills" : [ { "name" : "Design experience", "level" : "intermediate" } ], "majorSkills" : "Digital design, Visual design, User experience, Interface design", "majorSkillsList" : [ "Digital design", "Visual design", "User experience", "Interface design" ], "coreResponsibilities" : "Lead end-to-end project execution, Develop visually striking projects, Maintain cohesive brand identity, Infuse innovation into design approach", "teamCollaboration" : "Cross-functional internal teams; Fast-paced environment", "domainKnowledge" : "AI video platform", "domainList" : [ "ai-video-platform" ], "domainSpecificKnowledge" : [ "AI video platform" ], "toolProficiency" : [ "Figma", "Photoshop", "Illustrator", "After Effects", "Premiere Pro" ], "communicationSkills" : "Verbal communication; Visual communication", "innovationCreativity" : "Infusing innovation", "qualificationsBasic" : "4+ years of design experience, Portfolio demonstrating high-quality work, Proficiency in Figma, Proficiency in Photoshop, Proficiency in Illustrator, Intermediate knowledge of After Effects, Intermediate knowledge of Premiere Pro", "qualificationsPreferred" : "Experience in presentation design", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE We seek a highly skilled and creative Mid-weight Designer to join our Customer Services Content Creation Team. As a key player in our mission to empower everyone to make video content without cameras, microphones or studios, you will be responsible for crafting corporate templates and leveraging your skills to unlock bespoke visual storytelling. This role requires a hands-on worker with a keen eye for detail and devotion to high-quality solutions. Our Customer Services Content Creation Team is at the heart of our business and responsible for the creation of a brand-new lineup of products that will empower some of the world's largest companies to create video entirely in their browser. WHAT YOU WILL BE DOING… - Lead end-to-end project execution, from concepting to delivery. - Strong communication skills (verbal and visual) to effectively convey ideas to cross-functional internal teams. - Develop visually striking projects, respecting and maintaining a cohesive brand identity from multiple companies. - Collaborate in a fast-paced environment, contributing ideas and accepting changes as part of the process. - Stay abreast of industry trends, infusing innovation into your design approach. We'd love to hear from you if... - Proven 4+ years of design experience with a portfolio demonstrating high-quality work. - Creative mindset with strong multitasking abilities. - Passion for motion graphics, branding, and typography. - Proficiency in Figma, Photoshop, and Illustrator. - Intermediate knowledge of After Effects and Premiere Pro. - Experience in presentation design is a plus. - Strong organisational skills. - Support a quiet ego mentality and being at ease with team members updating your work. Why Join Synthesia? Imagine joining Airbnb, Stripe, or Figma when they had product-market fit, but the world hadn’t completely realized it yet. That’s where Synthesia is today. We hire the smartest, kindest, and most unrelenting people and let them do their best work—without distractions. Learn more about our culture and principles here https://www.notion.so/synthesia/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2. Location: London, UK UK BENEFITS - \uD83D\uDCCD A hybrid, flexible approach to work, with access to a lovely office space in Oxford Circus and free lunches on Wednesdays and Fridays - \uD83D\uDCB8 A competitive salary + stock options - \uD83C\uDFDD 25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over) - \uD83C\uDFE5 Private healthcare through AXA, including mental health support through the Stronger Minds service - ❣️ Pension contribution — Synthesia contributes 3% and employees contribute 5% on qualifying earnings - \uD83D\uDEB2 Cycle-to-work scheme - \uD83E\uDD73 Established company culture with optional regular socials and company retreats - \uD83C\uDF7C Paid parental leave — 16 weeks of full pay for primary caregivers, 5 weeks of full pay for secondary - \uD83D\uDC49 Generous recruitment referral scheme - \uD83D\uDCBB The equipment you need to be successful in your role ", "summaryDescription" : "Mid-weight Digital Designer at Synthesia. Skills: Digital design, Visual design, User experience, Interface design. Lead end-to-end project execution. Develop visually striking projects", "postedDate" : "2026-06-11T17:48:03.501", "createdAt" : "2026-06-11T17:48:03.501", "lastUpdated" : "2026-06-14T06:34:19.621", "ingestTimestamp" : "2026-06-11T17:48:03.501", "mongoId" : "6a2a70db74d8ee00a0647bc0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Design experience", "Digital design", "Visual design", "User experience", "Interface design", "Visual storytelling", "Brand identity", "Motion graphics", "Branding", "Typography", "AI video platform", "Figma", "Photoshop", "Illustrator", "After Effects", "Premiere Pro" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "creative-design", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2aa05d74d8ee00a06a8490", "title" : "Mid-weight Digital Designer", "company" : "Synthesia", "industry" : "Commercial", "salary" : { "min" : 50000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-weight Digital Designer in London, UK, with adjustments for mid-level seniority and the technology industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-12T22:45:57.770", "fingerprint" : "765389721d8cde16164a55308957d6cbe732e2d10af2473c176531ca0c5c9e04", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/synthesia/661c1bb9-6aa6-4110-990a-c09ff0923e4e/application", "externalId" : "661c1bb9-6aa6-4110-990a-c09ff0923e4e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Figma, Photoshop, Illustrator, After Effects, Premiere Pro", "professionalSkills" : [ "Visual storytelling", "Brand identity", "Motion graphics", "Branding", "Typography" ], "hardSkillsList" : [ "Design experience" ], "hardSkills" : [ { "name" : "Design experience", "level" : "intermediate" } ], "majorSkills" : "Digital design, Visual design, User experience, Interface design", "majorSkillsList" : [ "Digital design", "Visual design", "User experience", "Interface design" ], "coreResponsibilities" : "Lead end-to-end project execution, Develop visually striking projects, Maintain cohesive brand identity, Infuse innovation into design approach", "teamCollaboration" : "Cross-functional internal teams; Fast-paced environment", "domainKnowledge" : "AI video platform", "domainList" : [ "ai-video-platform" ], "domainSpecificKnowledge" : [ "AI video platform" ], "toolProficiency" : [ "Figma", "Photoshop", "Illustrator", "After Effects", "Premiere Pro" ], "communicationSkills" : "Verbal communication; Visual communication", "innovationCreativity" : "Infusing innovation", "qualificationsBasic" : "4+ years of design experience, Portfolio demonstrating high-quality work, Proficiency in Figma, Proficiency in Photoshop, Proficiency in Illustrator, Intermediate knowledge of After Effects, Intermediate knowledge of Premiere Pro", "qualificationsPreferred" : "Experience in presentation design", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE We seek a highly skilled and creative Mid-weight Designer to join our Customer Services Content Creation Team. As a key player in our mission to empower everyone to make video content without cameras, microphones or studios, you will be responsible for crafting corporate templates and leveraging your skills to unlock bespoke visual storytelling. This role requires a hands-on worker with a keen eye for detail and devotion to high-quality solutions. Our Customer Services Content Creation Team is at the heart of our business and responsible for the creation of a brand-new lineup of products that will empower some of the world's largest companies to create video entirely in their browser. WHAT YOU WILL BE DOING… - Lead end-to-end project execution, from concepting to delivery. - Strong communication skills (verbal and visual) to effectively convey ideas to cross-functional internal teams. - Develop visually striking projects, respecting and maintaining a cohesive brand identity from multiple companies. - Collaborate in a fast-paced environment, contributing ideas and accepting changes as part of the process. - Stay abreast of industry trends, infusing innovation into your design approach. We'd love to hear from you if... - Proven 4+ years of design experience with a portfolio demonstrating high-quality work. - Creative mindset with strong multitasking abilities. - Passion for motion graphics, branding, and typography. - Proficiency in Figma, Photoshop, and Illustrator. - Intermediate knowledge of After Effects and Premiere Pro. - Experience in presentation design is a plus. - Strong organisational skills. - Support a quiet ego mentality and being at ease with team members updating your work. Why Join Synthesia? Imagine joining Airbnb, Stripe, or Figma when they had product-market fit, but the world hadn’t completely realized it yet. That’s where Synthesia is today. We hire the smartest, kindest, and most unrelenting people and let them do their best work—without distractions. Learn more about our culture and principles here https://www.notion.so/synthesia/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2. Location: London, UK UK BENEFITS - \uD83D\uDCCD A hybrid, flexible approach to work, with access to a lovely office space in Oxford Circus and free lunches on Wednesdays and Fridays - \uD83D\uDCB8 A competitive salary + stock options - \uD83C\uDFDD 25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over) - \uD83C\uDFE5 Private healthcare through AXA, including mental health support through the Stronger Minds service - ❣️ Pension contribution — Synthesia contributes 3% and employees contribute 5% on qualifying earnings - \uD83D\uDEB2 Cycle-to-work scheme - \uD83E\uDD73 Established company culture with optional regular socials and company retreats - \uD83C\uDF7C Paid parental leave — 16 weeks of full pay for primary caregivers, 5 weeks of full pay for secondary - \uD83D\uDC49 Generous recruitment referral scheme - \uD83D\uDCBB The equipment you need to be successful in your role ", "summaryDescription" : "Mid-weight Digital Designer at Synthesia. Skills: Digital design, Visual design, User experience, Interface design. Lead end-to-end project execution. 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Woodlawn", "67220" ], "certifications" : [ "Licensed in Kansas to teach at Functional Special Education/Low Incidence Level - K-6", "Valid Kansas Driver's License" ], "timestamp" : "2026-06-15T23:11:44.940", "fingerprint" : "e6b4da3f3d18f98e22a210d2b84bbaa0c0030649c0085f30c3b03dc38da1daf0", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=95814", "externalId" : "95814", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Kansas", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Kansas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "majorSkills" : "Special Education, IEP development, Differentiated instruction", "majorSkillsList" : [ "Special Education", "IEP development", "Differentiated instruction" ], "coreResponsibilities" : "Plan according to state standards and student IEPs, Participate on pre-assessment teams, Initiate, schedule, and attend IEP meetings, Diagnose student needs, Structure IEP for each student, Implement IEP for each student, Define daily expectations, Structure daily expectations, Communicate daily expectations, Communicate with parents, Communicate with regular education staff, Communicate with special education staff, Communicate with other stakeholders, Report student data, Negotiate schedules, Provide differentiated instruction, Adapt course content, Adjust reading levels, Discern learning styles, Build memory and study skills, Assist students in achieving academic objectives, Assist students in achieving daily living skills, Assist students in achieving social skills, Work with students individually, Work with students in small groups, Present learning opportunities, Support regular classroom teachers, Prepare and display events, Prepare reinforcement activities, Evaluate according to state standards, Evaluate according to student IEPs, Plan assessments, Design subject-based reinforcement, Design a grading system, Collect student data, Enter student data, Report student progress, Provide a positive role model, Develop classroom structure, Teach classroom structure, Review classroom structure, Develop classroom rules, Design classroom rules, Design systems for handling behavior, Prepare physical condition of classroom, Maintain a clean classroom, Maintain an organized classroom, Keep daily records, Supervise paraprofessionals, Manage job duties, Participate in teacher committee work, Attend teacher daily lunch activities, Prepare students for travel, Escort students to special classes, Supervise bus loading, Supervise bus unloading, Attend programs and events, Perform additional duties as assigned", "teamCollaboration" : "Multi-disciplinary team; Regular education staff; Special education staff; Other stakeholders; Teacher committee work", "domainKnowledge" : "Individual Education Program (IEP); State standards; Special Education; Low Incidence Level", "domainList" : [ "individual-education-program-iep", "state-standards", "special-education", "low-incidence-level" ], "domainSpecificKnowledge" : [ "Individual Education Program (IEP)", "State standards", "Special Education", "Low Incidence Level" ], "toolProficiency" : [ "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "communicationSkills" : "Communicate with parents; Communicate with staff; Communicate with stakeholders; Communicate with administration; Communicate with students", "documentationSkills" : "Keep daily records", "specialRequirements" : "Ability to lift students, Ability to dress students, Ability to position students, Mobility, Agility, Dexterity, Focused observation, Ability to work outdoors", "qualificationsBasic" : "Bachelor of Arts or Science in Education, Licensed in Kansas to teach at Functional Special Education/Low Incidence Level - K-6, Valid Kansas Driver's License", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Mixed Abilities-Elementary Position Function: The person filling this position plans, leads, facilitates, and provides instruction for maximum student learning in his/her least restrictive learning environment. This position follows each student's standards-based Individual Education Program (IEP) to ensure appropriate curriculum-based instruction. Essential Performance Responsibilities: Plans according to state standards and student IEPS Participates, as appropriate, on pre-assessment teams to determine necessity for comprehensive student evaluation, initiates, schedules, and attends IEP meetings; works with multi-disciplinary team to diagnose need; structures/implements IEP for each student identified Defines, structures, and communicates daily expectations according to state standards and IEP including but not limited to, course goals, objectives, learning methods, and activities Communicates with parents, regular education staff members, special education staff members, and other appropriate stakeholders on course instructional strategies and objectives, students' grasp of material, outcomes and perspectives for applications of materials learned Receives and reports student progress; in-puts student data via computer; negotiates schedules and communicates with all pertinent participants (administration, parents, staff, students, etc.) Provides differentiated instruction based on the student's individual level of functioning and preferred/necessary learning modalities Controls classroom and teaches individual behavior through classroom structure, routine, communication opportunities, and individualized behavior methods; adapts and adjusts course content and reading levels to specify skills to be taught; discerns learning styles and means of building memory and study skills; assists individual students in achieving academic, daily living, and social skills learning objectives by working with them individually and in small groups Presents various learning opportunities appropriate to each student's IEP including, but not limited to, classroom structure, multi-media, assistive technology, alternative communication opportunities, support of regular classroom teachers, and other presentations and/or opportunities inside or outside Prepares and displays events and reinforcement activities which encourage participation Evaluates according to state standards and student IEPs Plans assessments for evaluation to include, but not limited to, various diagnostic techniques; standardized survey and criterion-referenced test; teacher-developed oral and written tests; student personal indices (effort, potential, interests, memory) Designs subject-based reinforcement to follow assessments and student's learning objectives (computer lab activities, working independently or on group projects, field/community reinforcement) Designs a grading system which encourages motivation and participation; collects and enters student data in computer from charts and observations; reports progress on a regular basis as required Provides a positive role model of appropriate and respectful interactions with students and staff Develops, teaches, and reviews clear and concise classroom structure, rules, routines, procedures, and expectations individualized to student need. Designs classroom rules for student interaction (courtesy and respect for belongings, space, and ideas), self-control, working independently, and appropriately gaining the floor; designs systems for handling all the behavior (from simple infractions to severe behavior) Prepares physical condition of classroom to reflect subject matter to facilitate student learning and maintains a clean and organized classroom Keeps daily records on, but not limited to, student attendance, learning and social needs, assignments, assessments and discipline; supervises paraprofessionals. Manages all job duties with the mobility, agility, dexterity, and focused observation necessary to adequately perform the essential duties as described above Participates in teacher committee work and attends teacher meetings; daily lunch activities as assigned; prepares and/or escorts students to travel to special classes as required; supervises bus loading and unloading as required; attends programs and events related to school Additional Duties: Additional duties as assigned by supervisor Equipment: This position requires the ability to use SMART boards and iPads in addition to basic office equipment such as computers, copiers, scanners, and fax machine Travel: Limited travel may be required Physical and Mental Demands: Good physical health and ability to implement behavioral strategies as well as to lift, dress, and position students as needed for self-care and safety Works in standard office and school building environments Ability to work outdoors during outdoor student activities Additional demands upon request of Principal, Superintendent Must be able to respond rapidly in emergency situations Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Ability to communicate effectively with a Supervisor when their discretion is needed Ability to perform as an effective team player Ability to plan, organize, make decisions and prioritize work to meet the daily demands of the building Exhibit a professional manner and a positive attitude Use good judgment to make decisions on recurring assignments Display a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Bachelor of Arts or Science in Education with an emphasis on Special Education Licensed in the State of Kansas to teach at the Functional Special Education/Low Incidence Level - K-6 level required Valid Kansas Driver's License required FLSA Status: Exempt", "summaryDescription" : "Mixed Abilities-Elem - Mixed Abilities (2026-2027 School Year). Skills: Special Education, IEP development, Differentiated instruction. Plan according to state standards and student IEPs. 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Join our innovative MADS Ads Data systems in Toronto, where we're expanding to meet increasing customer demand. We provide a secure, privacy-safe, and cloud-based environment for advertisers to perform advanced analytics across multiple data sets and generate actionable insights. Our services ingest and process billions of behavioral signals daily, making speed, scale, and accuracy critical to our success. You'll work in exciting computer science domains, managing massive-scale streaming systems, applying machine learning and data science expertise using Big Data (e.g. Spark) technology to drive optimizations and insights. We're seeking experienced, motivated software engineers with a proven track record in data engineering and scalable web services. If you're passionate about developing analytical solutions to solve complex business problems and driving results that impact Amazon's business, this is the right opportunity for you. The ideal candidate is innovative, with excellent problem-solving, analytical, and technical skills. You're comfortable working on Linux systems and have a deep understanding of agile software development. You excel at building exceptional customer relationships, uncovering the true requirements behind feature requests, and simplifying complex problems to tackle challenges. Join our team and be part of a dynamic and collaborative environment where you can make a significant impact on Amazon's advertising solutions. 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 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, Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS) at Amazon Development Centre Canada ULC. Skills: Data engineering, Machine learning, Scalable systems. Build scalable systems. 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Essential Performance Responsibilities: Plans according to state standards and student IEPS Participates, as appropriate, on pre-assessment teams to determine necessity for comprehensive student evaluation, initiates, schedules, and attends IEP meetings; works with multi-disciplinary team to diagnose need; structures/implements IEP for each student identified Defines, structures, and communicates daily expectations according to state standards and IEP including but not limited to, course goals, objectives, learning methods, and activities Communicates with parents, regular education staff members, special education staff members, and other appropriate stakeholders on course instructional strategies and objectives, students' grasp of material, outcomes and perspectives for applications of materials learned Receives and reports student progress; in-puts student data via computer; negotiates schedules and communicates with all pertinent participants (administration, parents, staff, students, etc.) Provides differentiated instruction based on the student's individual level of functioning and preferred/necessary learning modalities Controls classroom and teaches individual behavior through classroom structure, routine, communication opportunities, and individualized behavior methods; adapts and adjusts course content and reading levels to specify skills to be taught; discerns learning styles and means of building memory and study skills; assists individual students in achieving academic, daily living, and social skills learning objectives by working with them individually and in small groups Presents various learning opportunities appropriate to each student's IEP including, but not limited to, classroom structure, multi-media, assistive technology, alternative communication opportunities, support of regular classroom teachers, and other presentations and/or opportunities inside or outside Prepares and displays events and reinforcement activities which encourage participation Evaluates according to state standards and student IEPs Plans assessments for evaluation to include, but not limited to, various diagnostic techniques; standardized survey and criterion-referenced test; teacher-developed oral and written tests; student personal indices (effort, potential, interests, memory) Designs subject-based reinforcement to follow assessments and student's learning objectives (computer lab activities, working independently or on group projects, field/community reinforcement) Designs a grading system which encourages motivation and participation; collects and enters student data in computer from charts and observations; reports progress on a regular basis as required Provides a positive role model of appropriate and respectful interactions with students and staff Develops, teaches, and reviews clear and concise classroom structure, rules, routines, procedures, and expectations individualized to student need. Designs classroom rules for student interaction (courtesy and respect for belongings, space, and ideas), self-control, working independently, and appropriately gaining the floor; designs systems for handling all the behavior (from simple infractions to severe behavior) Prepares physical condition of classroom to reflect subject matter to facilitate student learning and maintains a clean and organized classroom Keeps daily records on, but not limited to, student attendance, learning and social needs, assignments, assessments and discipline; supervises paraprofessionals. Manages all job duties with the mobility, agility, dexterity, and focused observation necessary to adequately perform the essential duties as described above Participates in teacher committee work and attends teacher meetings; daily lunch activities as assigned; prepares and/or escorts students to travel to special classes as required; supervises bus loading and unloading as required; attends programs and events related to school Additional Duties: Additional duties as assigned by supervisor Equipment: This position requires the ability to use SMART boards and iPads in addition to basic office equipment such as computers, copiers, scanners, and fax machine Travel: Limited travel may be required Physical and Mental Demands: Good physical health and ability to implement behavioral strategies as well as to lift, dress, and position students as needed for self-care and safety Works in standard office and school building environments Ability to work outdoors during outdoor student activities Additional demands upon request of Principal, Superintendent Must be able to respond rapidly in emergency situations Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Ability to communicate effectively with a Supervisor when their discretion is needed Ability to perform as an effective team player Ability to plan, organize, make decisions and prioritize work to meet the daily demands of the building Exhibit a professional manner and a positive attitude Use good judgment to make decisions on recurring assignments Display a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Bachelor of Arts or Science in Education with an emphasis on Special Education Licensed in the State of Kansas to teach at the Functional Special Education/Low Incidence Level - K-6 level required Valid Kansas Driver's License required FLSA Status: Exempt", "summaryDescription" : "Mixed Abilities-Elem - Mixed Abilities (2026-2027 School Year). 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Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! Principal Account Manager, Measurement & ROI Strategy is a high-impact, client-facing role situated within the Account Management organization. Acting as a critical bridge between data infrastructure and commercial strategy. This role is designed for a strategic translator who can stand in front of executive-level clients to command a room, while possessing the deep technical acumen to independently extract data and architect measurement frameworks. Positioned at the intersection of product capability and commercial execution, the individual will collaborate with Product Engineering to define data requirements, partner with Product Marketing to benchmark methodologies, and ultimately deliver compelling, data-driven ROI narratives that protect and expand bookings and ## What You'll Do Co-create comprehensive business plans with strategic partners, aligning data-driven insights with their revenue, growth, and operational goals. Serve as the trusted, executive-level point of contact for top enterprise accounts. Elevate everyday conversations from tactical campaign delivery to high-impact business outcomes. Co-lead Executive Business Reviews and strategic planning sessions, developing compelling narratives that connect program outcomes to the partner's broader goals. Independently pull, aggregate, and validate disparate datasets from internal databases. Measure the direct financial and brand ROI of sampling and creator campaigns. Act as the internal architect for how we measure success. Master our proprietary ROI frameworks while proactively partnering with product marketing on competitor methodologies, A/B testing models, and market trends to ensure our tracking infrastructure remains best-in-class. Design and monitor rigorous client success metrics, usage trackers, and data scorecards to track performance against shared partnership goals. Partner closely with Sales and Account Management leadership on account planning, whitespace identification, and deal shaping to drive renewal/rebuy strategy. Serve as the primary insights stakeholder to Product and Engineering teams. Translate complex partner reporting needs into precise technical requirements and specifications to automate and scale our data pipelines and internal ROI dashboards. Package complex data into clear, concise, and visually compelling presentations/dashboards to be shared directly with clients Participate in strategic client meetings to present data findings, answer technical methodologies questions, and demonstrate product value. ## What You'll Bring Deep understanding of market research, consumer trends, and brand marketing Deep analytical expertise with experience in gathering and interpreting data from numerous resources. Very proficient with Excel, Powerpoint, Google Analytics, Postico, and Amazon Web Services Superior organizational skills and attention to detail Strong and effective communication, both written and verbal, with excellent presentation skills. Experience with Database reporting and data visualization tools. Excellent teamwork and interpersonal skills with a proven record of building strong relationships with key stakeholders. Demonstrated thought-leadership with proven ability to influence strategies and achieve goals. Desire to work in a fast-paced, ever-changing and sometimes ambiguous environment. Must be driven, resourceful, curious, and a fast learner. Ability to translate raw datasets into clean, digestible charts and scorecards. Translating technical metrics (e.g., click-through rates, sentiment, impressions) into business value/revenue outcomes for the client. ## Additional Information #LI-Hybrid #LI-JM1 Why join Bazaarvoice? Customer is key We see our own success through our customers’ outcomes. We approach every situation with a customer first mindset. Transparency & Integrity Builds Trust We believe in the power of authentic feedback because it’s in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance. Passionate Pursuit of Performance Our energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because we’re laser focused on our mission. Innovation over Imitation We seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage. Stronger Together We bring our whole selves to the mission and find value in diverse perspectives. We champion what’s best for Bazaarvoice before individuals or teams. As a stronger company we build a stronger community. Want to see our culture in action? Explore our global Linkedin Life Page, Life at Bazaarvoice to see the bigger picture, or visit our North America Life Page to meet our regional teams and see what life is like in our local offices. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers. As part of our final selection process, the successful candidate will be required to undergo a routine pre-employment background check. 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Regular education staff; Special education staff; Other stakeholders; Teacher committee work; Internal personnel; External personnel", "domainKnowledge" : "Individual Education Program (IEP); State standards; Special Education; Low Incidence Level", "domainList" : [ "individual-education-program-iep", "state-standards", "special-education", "low-incidence-level" ], "domainSpecificKnowledge" : [ "Individual Education Program (IEP)", "State standards", "Special Education", "Low Incidence Level" ], "toolProficiency" : [ "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "communicationSkills" : "Communicate with parents; Communicate with staff; Communicate with stakeholders; Communicate with supervisor; Communicate effectively", "documentationSkills" : "Keep daily records", "problemSolvingSkills" : "Make decisions; Prioritize work", "specialRequirements" : "Mobility, Agility, Dexterity, Focused observation, Lift students, Dress students, Position students, Work outdoors, Handle situations with tact, Handle situations with diplomacy", "qualificationsBasic" : "Bachelor of Arts or Science in Education, Special Education emphasis, Licensed in Kansas, Functional Special Education/Low Incidence Level - K-6 level, Valid Kansas Driver's License", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Mixed Abilities-Elementary Position Function: The person filling this position plans, leads, facilitates, and provides instruction for maximum student learning in his/her least restrictive learning environment. This position follows each student's standards-based Individual Education Program (IEP) to ensure appropriate curriculum-based instruction. Essential Performance Responsibilities: Plans according to state standards and student IEPS Participates, as appropriate, on pre-assessment teams to determine necessity for comprehensive student evaluation, initiates, schedules, and attends IEP meetings; works with multi-disciplinary team to diagnose need; structures/implements IEP for each student identified Defines, structures, and communicates daily expectations according to state standards and IEP including but not limited to, course goals, objectives, learning methods, and activities Communicates with parents, regular education staff members, special education staff members, and other appropriate stakeholders on course instructional strategies and objectives, students' grasp of material, outcomes and perspectives for applications of materials learned Receives and reports student progress; in-puts student data via computer; negotiates schedules and communicates with all pertinent participants (administration, parents, staff, students, etc.) Provides differentiated instruction based on the student's individual level of functioning and preferred/necessary learning modalities Controls classroom and teaches individual behavior through classroom structure, routine, communication opportunities, and individualized behavior methods; adapts and adjusts course content and reading levels to specify skills to be taught; discerns learning styles and means of building memory and study skills; assists individual students in achieving academic, daily living, and social skills learning objectives by working with them individually and in small groups Presents various learning opportunities appropriate to each student's IEP including, but not limited to, classroom structure, multi-media, assistive technology, alternative communication opportunities, support of regular classroom teachers, and other presentations and/or opportunities inside or outside Prepares and displays events and reinforcement activities which encourage participation Evaluates according to state standards and student IEPs Plans assessments for evaluation to include, but not limited to, various diagnostic techniques; standardized survey and criterion-referenced test; teacher-developed oral and written tests; student personal indices (effort, potential, interests, memory) Designs subject-based reinforcement to follow assessments and student's learning objectives (computer lab activities, working independently or on group projects, field/community reinforcement) Designs a grading system which encourages motivation and participation; collects and enters student data in computer from charts and observations; reports progress on a regular basis as required Provides a positive role model of appropriate and respectful interactions with students and staff Develops, teaches, and reviews clear and concise classroom structure, rules, routines, procedures, and expectations individualized to student need. Designs classroom rules for student interaction (courtesy and respect for belongings, space, and ideas), self-control, working independently, and appropriately gaining the floor; designs systems for handling all the behavior (from simple infractions to severe behavior) Prepares physical condition of classroom to reflect subject matter to facilitate student learning and maintains a clean and organized classroom Keeps daily records on, but not limited to, student attendance, learning and social needs, assignments, assessments and discipline; supervises paraprofessionals. Manages all job duties with the mobility, agility, dexterity, and focused observation necessary to adequately perform the essential duties as described above Participates in teacher committee work and attends teacher meetings; daily lunch activities as assigned; prepares and/or escorts students to travel to special classes as required; supervises bus loading and unloading as required; attends programs and events related to school Additional Duties: Additional duties as assigned by supervisor Equipment: This position requires the ability to use SMART boards and iPads in addition to basic office equipment such as computers, copiers, scanners, and fax machine Travel: Limited travel may be required Physical and Mental Demands: Good physical health and ability to implement behavioral strategies as well as to lift, dress, and position students as needed for self-care and safety Works in standard office and school building environments Ability to work outdoors during outdoor student activities Additional demands upon request of Principal, Superintendent Must be able to respond rapidly in emergency situations Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Ability to communicate effectively with a Supervisor when their discretion is needed Ability to perform as an effective team player Ability to plan, organize, make decisions and prioritize work to meet the daily demands of the building Exhibit a professional manner and a positive attitude Use good judgment to make decisions on recurring assignments Display a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Bachelor of Arts or Science in Education with an emphasis on Special Education Licensed in the State of Kansas to teach at the Functional Special Education/Low Incidence Level - K-6 level required Valid Kansas Driver's License required FLSA Status: Exempt", "summaryDescription" : "Mixed Abilities-Elem - Mixed Abilities (2026-2027 School Year). Skills: Special education, IEP implementation, Student instruction. Plan instruction. Facilitate student learning", "createdAt" : "2026-06-14T07:24:56.276", "lastUpdated" : "2026-06-15T09:04:19.561", "ingestTimestamp" : "2026-06-14T07:24:56.276", "mongoId" : "69dde3f62beec4dd3d9a0be0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "IEP development", "Standards-based instruction", "Differentiated instruction", "Behavioral strategies", "Classroom management", "Student assessment", "Grading system design", "Record keeping", "Professional manner", "Good judgment", "Confidentiality", "Special education", "IEP implementation", "Student instruction", "Curriculum development", "Instructional design", "Behavior management", "Individual Education Program (IEP)", "State standards", "Special Education", "Low Incidence Level", "Licensed in the State of Kansas", "Valid Kansas Driver's License", "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "skillCount" : 29, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69f4e0ba4c40e2acd1d89d36", "title" : "Technical Program Manager, MADS - Measurement and Data Science", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, Advertising", "salary" : { "min" : 148000.0, "max" : 201000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:46:59.439", "fingerprint" : "cac99353d75ed155d863314453b70ea6cd7d8b97950cb53763d994bc0022c53a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408825/apply", "externalId" : "2bc3a866-7325-4a45-84b7-5b4737a0823a", "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" : "Big Data, Distributed Systems, AWS", "professionalSkills" : [ "System design", "Service-oriented architecture" ], "hardSkillsList" : [ "Agile", "Incremental delivery" ], "hardSkills" : [ { "name" : "Agile", "level" : "intermediate" }, { "name" : "Incremental delivery", "level" : "intermediate" } ], "majorSkills" : "Data Science, Measurement, Analytics Platform", "majorSkillsList" : [ "Data Science", "Measurement", "Analytics Platform" ], "coreResponsibilities" : "Lead planning and delivery of programs, Work on complex software systems, Handle communication from developers to VPs, Foster data-driven culture, Facilitate collaboration and accelerate innovation, Interact with diverse stakeholders, Deliver crisp messages, Drive timely feature launches, Collaborate to determine and prioritize features, Collaborate to determine software releases, Implement mechanisms/tools for feature usage, Implement mechanisms/tools for roadmap view, Implement mechanisms/tools for future deliveries, Collaborate with partners to deep dive, Drive additional features, Drive implementation of Hackathon features, Merge Hackathon features into mainline", "teamCollaboration" : "Cross-group teams; Diverse stakeholders; Engineers, scientists, product managers; Senior leaders", "projectManagementSkills" : [ "Agile", "Incremental delivery", "Roadmap planning", "Release schedules", "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management" ], "domainKnowledge" : "Distributed systems; Cloud; Service-oriented architecture; Measurement; Data Science; Advertising business; Campaign measurement; Algorithm development; Petabyte scale; Event-driven architectures", "domainList" : [ "distributed-systems", "cloud", "service-oriented-architecture", "measurement", "data-science", "advertising-business", "campaign-measurement", "algorithm-development", "petabyte-scale", "event-driven-architectures" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud", "Service-oriented architecture", "Measurement", "Data Science", "Advertising business", "Campaign measurement", "Algorithm development", "Petabyte scale", "Event-driven architectures" ], "communicationSkills" : "Deliver crisp messages", "innovationCreativity" : "Experiment and innovate; Hackathon features", "problemSolvingSkills" : "Solve complex problems", "outcomesObjectives" : "Grow new business; Build state-of-the-art products; Drive future investment; Improve relevance of ads; Deliver next generation analytics platform; Drive multibillion dollar business", "qualificationsBasic" : "5+ years technical product management, 3+ years software development, 5+ years technical program management, Manage programs across cross functional teams, Build processes and coordinate release schedules, Build and evaluate system-level technical design, Develop and execute product roadmaps, Deliver to meet timelines", "qualificationsPreferred" : "5+ years project management disciplines, Scope, schedule, budget, quality management, Risk and critical path management, Define KPIs/SLAs for multi-million dollar businesses, Report to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about Big Data and Distributed Systems to build customer trust and grow new business? Interested in building new state-of-the-art products at Petabyte scale? Global advertisers rely on our team's performance insights to drive future investment in Amazon's Advertising Platform and improve the relevance of ads shown to customers. We’re looking for strong Technical Program Manager to deliver next generation of our analytics platform. If this sounds interesting we’d love to hear from you!  Amazon is investing heavily in building a world class advertising business and we are at the forefront of that explosive growth. We deliver campaign reporting for all of Amazon advertising and produce analytics and reporting data that are used by advertisers to grow their business every day. We process billions of ad impressions, clicks, and conversion events daily and we invent and evolve our event-driven architectures with AWS to manage the extreme scale of our data growth. As campaign reporting product owners, we are also breaking fresh ground to create world-class analytics products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and agile bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place. The Measurement and Data Science team delivers campaign measurement and reporting across Amazon Advertising business and serves as the scientific center of excellence for algorithm development in campaign measurement. Our measurement and engineering platforms and products deliver campaign performance reporting to advertisers. By showing ads on and off our site, we effectively measure the Internet with billions of incoming, highly decorated events to process and summarize every day in near real time. Our infrastructure is extreme scale, requiring invention ahead of common technologies and exceeding PB scale with millions of transactions per second. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action. As a Technical Program Manager on the MADS team, you will you lead planning and delivering of programs with multi-year roadmap, using Agile and incremental delivery methods. You will work on complex software systems in a customer centric environment, cross-group teams spread across multiple geographies and handle communication from technical developers to VP's. You will bring strong understanding of system design of distributed systems, have knowledge of cloud and service-oriented architecture, thrive in a fast-paced environment, be comfortable with ambiguity, and lead cross-group teams across Amazon, on an unbeaten path. You will foster a data-driven culture that facilitates collaboration and accelerates innovation that drives a multibillion dollar business, and interact with a diverse set of stakeholders across our advertising business, including engineers, scientists, product managers, and senior leaders. You will deliver crisp messages, drive timely feature launches, and work to deliver to meet timelines with optimal solutions to complex problems. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers the foundational components that enable advertisers to analyze their advertising performance and make decisions that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s advertising 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, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Key job responsibilities Collaborate with team members to determine and prioritize features and software releases. Implement mechanisms/tools to provide an accurate view of current feature usage, roadmap and help determine future deliveries. Collaborate with partners to regularly deep dive on products and drive additional features where necessary. Drive the implementation and management of Hackathon features so they can be merged into mainline. 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, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually", "summaryDescription" : "Technical Program Manager, MADS - Measurement and Data Science at Amazon.com Services LLC. Skills: Data Science, Measurement, Analytics Platform. Lead planning and delivery of programs. Work on complex software systems", "postedDate" : "2026-06-13T03:46:19.658", "createdAt" : "2026-06-13T03:46:19.658", "lastUpdated" : "2026-06-15T01:46:59.439", "ingestTimestamp" : "2026-06-13T03:46:19.658", "mongoId" : "69f4e0ba4c40e2acd1d89d36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408825/apply", "salaryAnnualMin" : 148000, "salaryAnnualMax" : 201000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Agile", "Incremental delivery", "Data Science", "Measurement", "Analytics Platform", "System design", "Service-oriented architecture", "Roadmap planning", "Release schedules", "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management", "Distributed systems", "Cloud", "Advertising business", "Campaign measurement", "Algorithm development", "Petabyte scale", "Event-driven architectures" ], "skillCount" : 22, "jobCategory" : "project-management", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2c95ab74d8ee00a098dac9", "title" : "Performance Operations Manager", "company" : "Fanatics Betting & Gaming", "industry" : "Sports & Fitness", "salary" : { "min" : 101000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Jacksonville, Florida, United States", "locations" : [ "Jacksonville", "Florida", "United States" ], "timestamp" : "2026-06-15T22:19:05.790", "fingerprint" : "f9a8b63cc19dc5911c9a47a062c8b491aa51e12d9433ac0572efbbc2d3217585", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4230423009", "externalId" : "4230423009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jacksonville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.3262247,-81.6579179" } ], "locationText" : "Jacksonville, Florida, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Program execution", "System administration", "Process improvement", "Workflow automation", "Data analysis", "Reporting", "Training development", "Content creation", "Stakeholder management" ], "hardSkillsList" : [ "Performance management systems", "AI tools", "Automation", "System configuration", "Data integrity", "System integrations", "Dashboard production", "Predictive insights" ], "hardSkills" : [ { "name" : "Performance management systems", "level" : "intermediate" }, { "name" : "AI tools", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "System configuration", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "System integrations", "level" : "intermediate" }, { "name" : "Dashboard production", "level" : "intermediate" }, { "name" : "Predictive insights", "level" : "intermediate" } ], "majorSkills" : "Performance management, HR operations, AI tools, Process automation", "majorSkillsList" : [ "Performance management", "HR operations", "AI tools", "Process automation" ], "coreResponsibilities" : "Execute performance programs, Manage timelines, Track progress, Flag risks or delays, Coordinate communications, Drive engagement and completion, Ensure high completion, Ensure compliance, Serve as subject matter expert, Configure systems, Optimize systems, Implement system solutions, Ensure data accuracy, Ensure data integrity, Identify anomalies, Identify inconsistencies, Translate program design, Develop training materials, Deliver training, Personalize learning experiences, Produce dashboards, Produce reporting, Analyze trends, Surface insights, Highlight risks, Enable leaders with insights, Enable HRBPs with insights, Provide predictive insights, Provide recommendations, Monitor program effectiveness, Identify opportunities to automate, Identify opportunities to simplify, Identify opportunities to improve, Gather feedback, Synthesize feedback, Scale insights, Accelerate iteration, Partner with People Business Partners, Partner with HR Operations, Partner with L&D, Support leaders, Support employees, Ensure seamless integration", "teamCollaboration" : "Partner with HR Operations; Partner with L&D; Collaborate with HRBPs", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Performance management programs; Talent reviews; Promotions; Continuous feedback; HRIS; AI-enabled workflows", "domainList" : [ "performance-management-programs", "talent-reviews", "promotions", "continuous-feedback", "hris", "ai-enabled-workflows" ], "domainSpecificKnowledge" : [ "Performance management programs", "Talent reviews", "Promotions", "Continuous feedback", "HRIS", "AI-enabled workflows" ], "toolProficiency" : [ "Lattice", "AI tools" ], "communicationSkills" : "AI-assisted messaging; Clear guidance; Efficient guidance", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Performance programs run smoothly; Performance programs run efficiently; Increase automation levels; Reduce manual effort; Leaders feel confident; Employees feel confident; Reporting evolves; Deliver materials faster; Deliver training faster; Scale through AI; HR function becomes model", "qualificationsBasic" : "3+ years HR programs experience, 3+ years People Operations experience, 3+ years Performance Management experience, Administer Lattice (or similar platforms), Leverage AI tools for workflows, Leverage AI tools for reporting, Leverage AI tools for content creation, Program management skills, Execution skills, Build training content, Facilitate live sessions, Manage multiple timelines, Communication skills, Stakeholder management skills", "qualificationsPreferred" : "AI-driven insights experience", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. The Performance Operations Manager is responsible for the operational execution, systems administration, and continuous delivery of the company’s performance management programs. This role ensures performance processes run seamlessly, timelines are met, systems function accurately, and insights drive leadership decision-making. This is a hands-on, execution-focused role that requires leveraging AI and automation to drive efficiency, scale operations, and continuously improve how performance programs are delivered. How You’ll Work Success in this role requires: Using AI to streamline workflows, reduce manual effort, and increase speed Leveraging AI-driven insights to identify trends, risks, and opportunities Continuously improving processes through automation and intelligent tooling Operating with a mindset of “optimize first, then execute” Key Responsibilities Program Execution & Operations Execute performance programs (e.g., performance cycles, talent reviews, promotions, continuous feedback) with a focus on automation and scalability Use AI tools to manage timelines, track progress, and proactively flag risks or delays Coordinate communications using AI-assisted messaging and targeting to drive engagement and completion Ensure high completion and compliance through data-driven nudges and insights Lattice SME & System Ownership Serve as the subject matter expert for the performance platform Configure and optimize systems with a focus on automation, integrations, and AI-enabled workflows Partner with HRIS and vendors to implement smarter, more efficient system solutions Ensure data accuracy and integrity, leveraging AI to identify anomalies or inconsistencies Translate program design into scalable, system-driven experiences Enablement & Training Develop clear, engaging materials using AI to accelerate content creation and improve clarity Design and deliver training that incorporates AI-enabled workflows and best practices Ensure consistent understanding by leveraging AI to personalize and scale learning experiences Reporting & Analytics Produce dashboards and reporting (completion rates, rating distributions, calibration summaries) Use AI to analyze trends, surface insights, and highlight risks proactively Enable leaders and HRBPs with faster, deeper insights to support decision-making Move beyond reporting to predictive insights and recommendations Continuous Improvement Monitor program effectiveness using data and AI-driven insights Identify opportunities to automate, simplify, and improve processes Gather and synthesize feedback using AI to scale insights and accelerate iteration Collaboration Partner with People Business Partners, HR Operations, and L&D to embed AI-enabled ways of working Support leaders and employees with clear, efficient, and tech-enabled guidance Ensure seamless integration between performance, talent, and pay processes Requirements 3+ years of experience in HR programs, People Operations, or Performance Management Hands-on experience administering Lattice (or similar platforms) Experience leveraging AI tools to improve workflows, reporting, or content creation Strong program management and execution skills Experience building training content and facilitating live sessions Exceptional attention to detail with the ability to manage multiple timelines Strong communication and stakeholder management skills A mindset of continuous improvement, automation, and operational excellence Success Looks Like Performance programs run smoothly, efficiently, and with increasing levels of automation Manual effort is reduced through effective use of AI and systems optimization Leaders and employees feel confident navigating performance processes and tools Reporting evolves from descriptive to insight-driven and predictive High-quality materials and training are delivered faster and at scale through AI The performance function becomes a model for AI-enabled operations across HR Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $101,000—$118,000 USD The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ NYC Salary Range $101,000—$125,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Performance Operations Manager at Fanatics Betting & Gaming. Skills: Performance management, HR operations, AI tools, Process automation. Execute performance programs. Manage timelines", "postedDate" : "2026-06-14T20:46:50.902", "createdAt" : "2026-06-14T20:46:50.902", "lastUpdated" : "2026-06-15T22:19:05.790", "ingestTimestamp" : "2026-06-14T20:46:50.902", "mongoId" : "6a2c95ab74d8ee00a098dac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 101000, "salaryAnnualMax" : 125000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Performance management systems", "AI tools", "Automation", "System configuration", "Data integrity", "System integrations", "Dashboard production", "Predictive insights", "Performance management", "HR operations", "Process automation", "Program execution", "System administration", "Process improvement", "Workflow automation", "Data analysis", "Reporting", "Training development", "Content creation", "Stakeholder management", "Program management", "Performance management programs", "Talent reviews", "Promotions", "Continuous feedback", "HRIS", "AI-enabled workflows", "Lattice" ], "skillCount" : 28, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ff6f292fd229cf839f0", "title" : "Safety and Operations Manager", "company" : "Soho House & Co.", "industry" : "Hospitality", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Hospitality in Manchester, UK, adjusted for seniority and company size." }, "location" : "Soho House Manchester, Soho House ManchesterManchester, England, United Kingdom", "locations" : [ "Soho House Manchester", "Soho House ManchesterManchester", "England", "United Kingdom" ], "certifications" : [ "Managing safely / CIEH level 3 or 4", "NEBOSH general certificate" ], "timestamp" : "2026-06-16T07:58:19.588", "fingerprint" : "4e7805b7bdb4fa543f2cad5b989063254117c883432b7a3cbed5c60fcc64b514", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/sohohouseco/jobs/4897736101", "externalId" : "4897736101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manchester", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.4424618,-2.2324547" } ], "locationText" : "Manchester, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "professionalSkills" : [ "Cost control", "Invoice reconciliation", "Cheque requisitions", "Accruing purchases", "Prioritizing purchases" ], "hardSkillsList" : [ "Security program management", "Maintenance program management", "Licensing conditions management", "Incident investigations" ], "hardSkills" : [ { "name" : "Security program management", "level" : "intermediate" }, { "name" : "Maintenance program management", "level" : "intermediate" }, { "name" : "Licensing conditions management", "level" : "intermediate" }, { "name" : "Incident investigations", "level" : "intermediate" } ], "majorSkills" : "Safety management, Operations management, Risk reduction, Vendor management", "majorSkillsList" : [ "Safety management", "Operations management", "Risk reduction", "Vendor management" ], "coreResponsibilities" : "Ensure safe and secure environment, Ensure compliance with legal requirements, Drive culture of performance, Drive culture of safe behaviour, Be first point of contact for BOH operational, Prevent and respond to business risks, Drive performance by establishing safety priorities, Drive performance by establishing maintenance priorities, Identify high risk areas, Initiate actions to reduce risk exposure, Communicate safety needs to managers, Communicate safety problems to managers, Lead inspection of security program, Lead inspection of maintenance program, Monitor security program, Monitor maintenance program, Oversee credit card payment control, Oversee key control, Oversee CCTV, Oversee physical security provisions, Monitor employee entry, Monitor employee exit, Manage licensing conditions, Maintain relevant logs, Oversee BOH personnel, Manage BOH personnel, Ensure appropriate staffing levels, Support event setup, Manage BOH operations ordering, Manage BOH cost control, Oversee third party contractors, Monitor contractor access, Follow company working practices, Manage contractor costs, Develop group initiatives, Instigate group initiatives, Prepare activity reports, Coordinate investigations into incidents, Learn lessons from incidents, Support claims investigations", "teamCollaboration" : "Work with all managers; Work with all employees; Work with Regional Head of Health and Safety", "domainKnowledge" : "Fire safety; Life safety; Hospitality sector", "domainList" : [ "fire-safety", "life-safety", "hospitality-sector" ], "domainSpecificKnowledge" : [ "Fire safety", "Life safety", "Hospitality sector" ], "toolProficiency" : [ "CCTV", "Key control" ], "continuousLearning" : "Continuous training", "specialRequirements" : "Experience in a fast-paced environment, Comfortable in a matrix management environment", "qualificationsBasic" : "3+ years experience in similar capacity, 2 years experience at managerial level, Minimum 5 years related experience in a hotel/club/property management", "qualificationsPreferred" : "Managing safely / CIEH level 3 or 4, Experience in the hospitality sector, NEBOSH general certificate, Experience with highly discerning clients", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Role… At Soho House, the Safety and Operations Manager will ensure that Soho House provides a safe and secure environment that protects and safeguard all House guests, employees, contractors and all House assets. Demonstrating a professional approach, you will work with all managers and employees to ensure compliance with legal and operational security, fire and life safety requirements and drive a culture of performance and safe behaviour. What's in it for you? Weekly Pay Team meal whilst on shift prepared by our chefs Every House Membership 50% off Food & Drink, 7 days a week Staff Room Rates Private Health and Dental Care Life Assurance Day off on your birthday Up to 50% Staff Discount on Cowshed & Soho Home In conjunction with Soho Impact, take 2 days paid a year to support a charity of your choice. Free Counselling Sessions Cookhouse & House Tonic: Our Cookhouse & House Tonic programmes offer unique food and drink trainings, events and opportunities to inspire and educate. Continuous training to develop yourself personally and professionally Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to Soho House offers competitive compensation packages that feature global benefits and perks. Whether you’re seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to enhance your career Key duties… Be the first point of contact for all BOH operational matters, including prevention and response to issues which pose a risk to business Drive performance by establishing safety and maintenance priorities, identifying high risk areas, initiating actions to reduce risk exposure and communicating with managers about safety needs and problems Lead the inspection and monitoring of the security and maintenance program in the House. This includes credit card payment control, key control, CCTV and all other physical security provisions, and monitoring employee entry and exit from the premises Lead on managing all licensing conditions in conjunction with local licensing authority and maintaining all relevant logs Oversee and manage BOH personnel, including maintenance and cleaners ensuring staffing levels are appropriate, and support event setup Manage BOH operations ordering and cost control, such as invoice reconciliation, cheque requisitions, accruing and prioritizing purchases, in line with budget Overseeing third party contractors on site when conducting general maintenance works and inspections, ensuring a clear process is in place to monitor access, follow company working practices and manage costs Working closely with the Regional Head of Health and Safety in developing and instigating group initiatives Prepare regular activity reports for GM and management team Conduct or coordinate investigations into incidents involving guests or employees to learn lessons and support claims investigations What we are looking for... Minimum of 3+ years’ experience in similar capacity Managing safely / CIEH level 3 or 4 Experience in similar role Experience of working in a fast-paced environment Comfortable in a matrix management environment 2 years’ experience at managerial level Experience in the hospitality sector NEBOSH general certificate Minimum 5 years related experience in a hotel/club/property management Experience with highly discerning clients", "summaryDescription" : "Safety and Operations Manager at Soho House & Co.. Skills: Safety management, Operations management, Risk reduction, Vendor management. Ensure safe and secure environment. Ensure compliance with legal requirements", "postedDate" : "2026-06-15T23:28:50.210", "createdAt" : "2026-06-15T23:28:50.210", "lastUpdated" : "2026-06-16T07:58:19.588", "ingestTimestamp" : "2026-06-15T23:28:50.210", "mongoId" : "6a305ff6f292fd229cf839f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Security program management", "Maintenance program management", "Licensing conditions management", "Incident investigations", "Safety management", "Operations management", "Risk reduction", "Vendor management", "Cost control", "Invoice reconciliation", "Cheque requisitions", "Accruing purchases", "Prioritizing purchases", "Fire safety", "Life safety", "Hospitality sector", "Managing safely / CIEH level 3 or 4", "NEBOSH general certificate", "CCTV", "Key control" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2caa0874d8ee00a09c8055", "title" : "Chauffeur Classe 1 longue-distance", "company" : "Techo-Bloc", "industry" : "Construction", "salary" : { "min" : 90000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chambly, QC, Canada", "locations" : [ "Chambly", "QC", "Canada" ], "timestamp" : "2026-06-15T08:20:21.683", "fingerprint" : "22f916ceca240ed9feb4fa07b9f16ff073e35cfac8c1a9c6d40e1c6c575b125b", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/techo-bloc/744000131664369-chauffeur-classe-1-longue-distance", "externalId" : "744000131664369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chambly", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.4483467,-73.2936944" } ], "locationText" : "Chambly, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "hardSkillsList" : [ "Chargements lourds" ], "hardSkills" : [ { "name" : "Chargements lourds", "level" : "intermediate" } ], "majorSkills" : "Longue-distance driving, Concrete block transport", "majorSkillsList" : [ "Longue-distance driving", "Concrete block transport" ], "coreResponsibilities" : "Transport des marchandises, Livraison des blocs de bétons, Procèder à l’arrimage des blocs, Veiller à ce que la documentation soit bien, Maintenir les règles de sécurité", "domainKnowledge" : "Transport de béton", "domainList" : [ "transport-de-beton" ], "domainSpecificKnowledge" : [ "Transport de béton" ], "communicationSkills" : "Interpréter des documents; Maintenir une discussion fonctionnelle", "specialRequirements" : "55 heures par semaine, Départs de Saint-Hubert, Itinéraires : Côte Est des États-Unis + Ontario, Moins de 5 points perdus", "qualificationsBasic" : "Permis de conduire valide de classe 1, Minimum de 3 ans d'expérience, Excellent dossier de conduite, Passeport valide, Anglais fonctionnel", "qualificationsPreferred" : "Certification CFTR", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salaire : 90 000 $ minimum par an Horaires : * 55 heures par semaine (horaires fixes) * Départs de Saint-Hubert * Itinéraires : Côte Est des États-Unis + Ontario Avantages sociaux : * Assurance collective * Cotisation de l'employeur au REER * Télémédecine 24 h/24, 7 j/7 * Primes de parrainage $$$ * Réductions pour les employés Le chauffeur assure le transport des marchandises entre les sites manufacturiers Techo-Bloc et les sites d’entrepôt des produits destinés aux consommateurs et distributeurs. Les entrepôts se situent dans la province de Québec, en Ontario et aux États-Unis. Responsabilités du chauffeur : * Assurer la livraison des blocs de bétons vers les sites à partir de différentes usines au Québec, en Pennsylvanie et le Mid-Ouest ; * Procéder à l’arrimage des blocs sur la plateforme ; * Veiller à ce que la documentation soit bien remplie ; * Maintenir les règles de sécurité en tout temps, tant au niveau du chargement que la conduite ; * Être à l’aise avec des chargements lourds. ## Qualifications * Permis de conduire valide de classe 1 ; * Minimum de 3 ans d'expérience ou certification CFTR ; * Excellent dossier de conduite, n’ayant pas plus de 5 points perdus ; * Passeport valide ; * Anglais fonctionnel, capacité à lire et à interpréter des documents, des instructions et à maintenir une discussion fonctionnelle, si nécessaire, avec un agent des douanes. ## Additional Information Pourquoi joindre Techo-Bloc? Croissance professionnelle et reconnaissance : Chez Techo-Bloc, nous sommes des bâtisseurs de carrière. Explorez les opportunités d'avancement grâce à nos parcours professionnels bien définis par département. Votre succès est notre responsabilité partagée, soutenu par une culture qui valorise vos contributions uniques. Des récompenses basées sur les performances : Faites l'expérience de l'impact direct de vos efforts grâce à des primes compétitives basées sur les performances. Rejoignez une équipe passionnée et motivée qui collabore de manière transparente pour obtenir des résultats remarquables. Stabilité financière : Nous avons connu une croissance constante, reflétant notre solide santé financière et notre expansion géographique continue à travers l’Amérique du Nord. Culture d'entreprise collaborative : Abandonnez les silos et rejoignez-nous pour stimuler l'innovation et l'excellence ensemble. Nous nous soutenons mutuellement et nous nous soucions du succès de chacun ! Venez découvrir une culture dynamique évaluée avec des notes de cinq étoiles par la plupart de nos employés. Laissez les égos à la porte alors que nous participons à des activités telles que des sessions de remue-méninges, des barbecues animés et des festivités qui favorisent un fort sentiment de communauté et d’appartenance. Avantages et bénéfices : * Assurances collectives & REER avec contribution de l'employeur * Télémédecine 24/7 & Programme d'aide aux employés (PAE) * Développement du leadership et coaching à l’interne * Programmes de formation et de développement * Rabais sur les produits de Techo-Bloc * Événements de reconnaissance pour employés * Articles promotionnels de la marque Techo-Bloc * Stationnement gratuit * Bonus de référencement considérables #IndeedCanada2026", "summaryDescription" : "Chauffeur Classe 1 longue-distance at Techo-Bloc. Skills: Longue-distance driving, Concrete block transport. Transport des marchandises. Livraison des blocs de bétons", "postedDate" : "2026-06-11T12:48:54.000", "createdAt" : "2026-06-13T23:04:58.628", "lastUpdated" : "2026-06-15T08:20:21.683", "ingestTimestamp" : "2026-06-13T23:04:58.628", "mongoId" : "6a2caa0874d8ee00a09c8055", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Chargements lourds", "Longue-distance driving", "Concrete block transport", "Transport de béton" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69d140072beec4dd3ddbe3b1", "title" : "Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS)", "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" : "2026-06-15T03:35:50.902", "fingerprint" : "9787f475574caef60d53a9c8f53280e50095bfd503d4d1b57cbe4e3c76e17805", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383255/apply", "externalId" : "48daff07-d980-427e-b1d6-7b6b3dc2bd16", "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", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Distributed computing, Distributed storage, Index systems, Query systems", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Scalability", "Fault tolerance", "Low cost management" ], "hardSkills" : [ { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Fault tolerance", "level" : "intermediate" }, { "name" : "Low cost management", "level" : "intermediate" } ], "majorSkills" : "Measurement, Ad Tech, Data Science", "majorSkillsList" : [ "Measurement", "Ad Tech", "Data Science" ], "coreResponsibilities" : "Collaborate with Amazonians, Conceive innovative products, Design innovative products, Bring products to market, Design innovative technologies, Build innovative technologies, Lead industry changes, Create prediction solutions, Build distributed storage systems, Build index systems, Build query systems, Design solutions, Code solutions, Work in agile environment, Deliver high-quality software, Groom product documents, Design systems, Develop systems, Implement systems, Take ownership of operations, Implement runbooks, Implement monitoring systems, Implement alerting systems, Collaborate with science teams", "teamCollaboration" : "Cross-disciplinary teams; Cross-functional teams; Product teams; Data science teams; Legal teams; Privacy teams; Engineering teams; Science teams", "projectManagementSkills" : [ "Agile environment" ], "domainKnowledge" : "Reach and frequency metrics; Measurement data; Brand-awareness campaign", "domainList" : [ "reach-and-frequency-metrics", "measurement-data", "brand-awareness-campaign" ], "domainSpecificKnowledge" : [ "Reach and frequency metrics", "Measurement data", "Brand-awareness campaign" ], "innovationCreativity" : "Innovative products; Innovative services; Innovative technologies", "problemSolvingSkills" : "Broadly defined problems", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Programming experience", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The charter of this team is focused on delivering Reach & Frequency (R&F) metrics, enabling advertisers to assess campaign effectiveness by understanding how many and how frequently people have seen their ad over time. Our solutions are designed to cater to a diverse set of sales teams, whom might require high-level insights on ongoing campaigns or sales planners who require detailed, reach measurement data for future campaign execution for all delivered traffic (including traffic without user identify) across their campaigns, and help them easily measure the effectiveness of their brand-awareness campaign. We serve some of the largest global advertisers and their agencies. Key job responsibilities - Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. - Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. - Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. - Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. - Design and code the right solutions starting with broadly defined problems. - Work in an agile environment to deliver high-quality software. A day in the life The role of an SDE II on our team is critical to the success of our measurement and planning capabilities. SDE IIs are responsible for grooming product documents, designing, developing, and implementing the systems that underpin our incremental reach and reach and frequency products. This involves creating scalable, flexible architectures that can evolve as the needs of our clients and the industry change (i.e., worldwide expansion). They work closely with cross-functional teams, including product, data science, legal/privacy, and engineering teams, to ensure our systems are robust, reliable, and able to deliver insights with high accuracy and low latency. In addition to technical development, SDE IIs are expected to take ownership of continuous operational excellence, implementing runbooks, monitoring and alerting systems. Collaboration with science teams is also crucial, as it enables continuous improvement of our measurement models and methodologies. 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 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, Measurement, Ad Tech, and Data Science (MADS) at Amazon Development Centre Canada ULC. Skills: Measurement, Ad Tech, Data Science. Collaborate with Amazonians. Conceive innovative products", "postedDate" : "2026-06-13T17:13:07.537", "createdAt" : "2026-06-13T17:13:07.537", "lastUpdated" : "2026-06-15T03:35:50.902", "ingestTimestamp" : "2026-06-13T17:13:07.537", "mongoId" : "69d140072beec4dd3ddbe3b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383255/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Scalability", "Fault tolerance", "Low cost management", "Measurement", "Ad Tech", "Data Science", "System design", "Architecture", "Agile environment", "Reach and frequency metrics", "Measurement data", "Brand-awareness campaign" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69ce5df99bc74574cb671a48", "title" : "Implementation and Operations Manager", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Government in Austin, TX, adjusted for seniority and full-time employment." }, "location" : "826661", "locations" : [ "826661", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-16T03:04:47.886", "fingerprint" : "5bb7847ad529e3484f6e64446f3a134f1029d8f8059b94371658710867f5f7aa", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33694", "externalId" : "33694", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Program management", "Policy interpretation", "Service delivery" ], "hardSkillsList" : [ "Technical assistance", "Performance management", "Compliance checks" ], "softSkillsList" : [ "Leadership", "People skills" ], "hardSkills" : [ { "name" : "Technical assistance", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Compliance checks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "People skills" } ], "majorSkills" : "Program administration, Operational improvement, Stakeholder coordination", "majorSkillsList" : [ "Program administration", "Operational improvement", "Stakeholder coordination" ], "coreResponsibilities" : "Administer daily operations, Lead RESEA coordinators, Provide technical assistance, Provide implementation guidance, Conduct observations, Perform compliance checks, Guide administrative report preparation, Guide state plan preparation, Guide federal waiver request preparation, Guide federal audit review responses, Develop short-term strategies, Develop long-term strategies, Manage LWDA Boards, Provide high-level guidance, Brief TWC executive management, Brief Commissioners, Brief LWDA executives, Coordinate with stakeholders, Enhance program effectiveness, Recommend service delivery guidelines, Provide expert guidance, Implement action plans, Oversee high-performing team, Manage staff performance, Develop staff professionally, Provide job expectation guidance, Represent department at meetings, Represent department at conferences, Represent department at seminars, Serve on committees, Ensure staff compliance, Ensure LWDA Board compliance, Ensure service provider compliance, Perform related work", "teamCollaboration" : "Cross-functional coordination; Stakeholder coordination", "projectManagementSkills" : [ "Project administration", "Goal development" ], "domainKnowledge" : "Workforce programs; Grant administration; RESEA program", "domainList" : [ "workforce-programs", "grant-administration", "resea-program" ], "domainSpecificKnowledge" : [ "Workforce programs", "Grant administration", "RESEA program" ], "communicationSkills" : "Written communication; Verbal communication; Executive briefings", "documentationSkills" : "Administrative reports; State plans; Federal waiver requests", "continuousLearning" : "Training opportunities; Development opportunities", "innovationCreativity" : "Open to new ideas", "problemSolvingSkills" : "Problem solve", "specialRequirements" : "25% travel, Texas resident required", "outcomesObjectives" : "Ensure error-free projects; Ensure timely project completion; Ensure program compliance; Enhance program effectiveness", "qualificationsBasic" : "Five years full-time policy development experience, 1.5 years administrative management experience, 1.5 years supervisory experience", "qualificationsPreferred" : "Experience developing policies, Experience implementing policies, Experience evaluating policies, Experience motivating team, Experience leading team, High attention to detail, Ability to balance competing priorities, Ability to balance shifting priorities, Knowledge of workforce programs, Knowledge of grant administration, Collaboration to innovate, Collaboration to problem solve", "remoteFriendly" : false, "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 1117 Trinity St, Austin, Texas, in the RESEA department. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: The ideal candidate leverages exceptional leadership and management skills to ensure projects, training, and guidance are error-free and completed on time. This position plays a critical role in ensuring successful administration and implementation of the Reemployment Services and Eligibility Assessment (RESEA) program. If you are an experienced and innovative leader who is open to new ideas, and have excellent people skills, this opening could be the perfect match for you. WHAT YOU WILL DO: The Implementation and Operations Manager (Manager IV) performs advanced (senior-level) managerial work administering the daily operations and activities of an agency’s business function, division, or department. Works under limited supervision, with considerable latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: - Lead a team of RESEA coordinators located across the state who provide technical assistance, implementation, observations and customer compliance checks of offices providing RESEA services. - Guide the preparation of administrative reports, state plans, federal waiver requests, and responses to federal audit reviews. - Develop short and long-term strategies and goals for the administration of assigned projects. - Manage and provide high-level technical assistance and guidance to 28 Local Workforce Development Area (LWDA) Boards to ensure workforce programs are operated according to TWC standards and rules. - Brief TWC executive management, Commissioners, and their staff, and LWDA executives regarding programs, projects, and performance issues; coordinate with internal and external stakeholders. - Enhance program effectiveness by developing and recommending service delivery guidelines, providing expert guidance on program issues, and implementing action plans for operational improvement. - Oversee a high-performing team through effective performance management, professional development, and clear guidance on job expectations and TWC standards. - Represent the department and TWC at meetings, conferences, and seminars, and serve on committees. - Ensure assigned staff, LWDA Boards, and service providers comply with all RESEA federal, state, and agency laws, rules, policies, and procedures. - Perform related work as assigned. YOU QUALIFY WITH: -Five years of full-time experience in the development, implementation, or interpretation of policies and procedures in a public or private agency, one year and six months of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: - Experience in developing, implementing, and evaluating policies and procedures. - Experience motivating and leading a team. - Excellent communication skills, both written and verbal. - Highly skilled in managing both people and projects. - High attention to detail, while still seeing the big picture. - Ability to balance competing and shifting priorities. - Knowledge of workforce programs and grant administration. - Collaboration to innovate and problem solve. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $7,790.31 - $8,179.83/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_ProgramManagement.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 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" : "Implementation and Operations Manager at Texas Workforce Commission. Skills: Program administration, Operational improvement, Stakeholder coordination. Administer daily operations. Lead RESEA coordinators", "createdAt" : "2026-06-14T18:52:34.289", "lastUpdated" : "2026-06-16T03:04:47.886", "ingestTimestamp" : "2026-06-14T18:52:34.289", "mongoId" : "69ce5df99bc74574cb671a48", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Technical assistance", "Performance management", "Compliance checks", "Leadership", "People skills", "Program administration", "Operational improvement", "Stakeholder coordination", "Program management", "Policy interpretation", "Service delivery", "Project administration", "Goal development", "Workforce programs", "Grant administration", "RESEA program" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176da74d8ee00a0c1b22d", "title" : "Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Santa Monica, California, USA", "locations" : [ "Santa Monica, California, USA" ], "timestamp" : "2026-06-15T05:29:49.678", "fingerprint" : "4ab0b7d66662b44663492535cea89d05291be585d023bcd7facdb473d6637b0c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437885/apply", "externalId" : "edd07c71-a116-469d-9f00-762648864572", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Monica", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0194704,-118.4912270" } ], "locationText" : "Santa Monica, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Spark, Flink, Java, EMR, Kinesis, DynamoDB, Bedrock, Hadoop, Hive", "professionalSkills" : [ "Platform design", "System design", "Architectural decisions", "Technical direction", "Engineering strategy" ], "hardSkillsList" : [ "Distributed systems", "Data pipelines", "API design", "Versioning strategies", "Machine learning", "Big data technologies" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "Versioning strategies", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Big data technologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Distributed systems, Data engineering, Ad Tech, System architecture", "majorSkillsList" : [ "Distributed systems", "Data engineering", "Ad Tech", "System architecture" ], "coreResponsibilities" : "Architect systems, Process petabytes of data, Power advertising decisions, Solve distributed systems problems, Lead design and delivery, Define technical direction, Drive architectural decisions, Build pipelines and platforms, Own end-to-end lifecycle, Whiteboard system designs, Ship production systems, Deliver distributed systems, Raise bar for team", "teamCollaboration" : "Partnering across boundaries; Align engineering strategy; Lead technical discussions; Consult with stakeholders", "domainKnowledge" : "Ad Tech; Measurement infrastructure; Reporting infrastructure; Big data platforms; Distributed systems; Cloud-native architecture", "domainList" : [ "ad-tech", "measurement-infrastructure", "reporting-infrastructure", "big-data-platforms", "distributed-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Ad Tech", "Measurement infrastructure", "Reporting infrastructure", "Big data platforms", "Distributed systems", "Cloud-native architecture" ], "communicationSkills" : "Communicate effectively; Technical consultation", "continuousLearning" : "Stay informed on trends", "innovationCreativity" : "Invent new paradigms", "problemSolvingSkills" : "Solve complex challenges; Solve challenging problems", "outcomesObjectives" : "Deliver higher quality products faster", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading design or architecture, 5+ years full SDLC experience", "qualificationsPreferred" : "Bachelor's degree in computer science, Experience with big data technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to architect systems that process petabytes of data and power advertising decisions for millions of advertisers worldwide? Are you energized by solving hard distributed systems problems at a scale few companies ever reach? This is your opportunity. Amazon Advertising operates one of the largest big data platforms on the planet — processing trillions of events daily across display, search, native, and video surfaces on every device. We're looking for a Senior Software Development Engineer to lead the design and delivery of our next-generation measurement and reporting infrastructure — the backbone that enables advertisers to understand, attribute, and optimize their spend across Amazon's full advertising suite. You will define the technical direction for critical data systems, driving architectural decisions that balance scale, latency, cost, and extensibility. You'll leverage technologies like Spark, Flink, and Java alongside AWS services — EMR, Kinesis, DynamoDB, Bedrock, and more — to build pipelines and platforms that serve diverse consumers at Amazon scale. You'll own the end-to-end lifecycle: from whiteboarding system designs in ambiguous problem spaces to shipping production systems that handle billions of requests with high availability. The ideal candidate has a proven track record of delivering highly distributed systems at scale, with deep expertise in platform design patterns — including SDKs, libraries, APIs, and versioning strategies that enable teams across the organization to build on your foundations. You are operationally excellent, technically rigorous, and thrive when partnering across organizational boundaries to align engineering strategy with business outcomes. You don't just build systems — you raise the bar for how your team and adjacent teams build them. Key job responsibilities - Demonstrate strong engineering fundamentals and apply real-world experience to solve complex technical challenges - Showcase diverse architectural approaches and design patterns in technical designs - Think big and stay informed about industry standards and emerging trends in the Ad Tech space - Communicate effectively across all leadership levels, both verbally and in writing - Lead deep technical discussions with senior engineers, collaborating to solve challenging problems - Quickly grasp new systems and provide valuable technical consultation to stakeholders - Drive adoption of agenting patterns for development and on-call support to deliver higher quality products faster A day in the life Our team is responsible for processing all advertising events — over tens of billions new events per day — including impressions, clicks, and views across all Amazon products. We provide petabyte-scale, low-latency, and highly available event lookup services to a wide set of users within Amazon Ads. On any given day, you'll be applying the latest machine learning and big data technologies to terabytes of incoming data, operating petabyte-size clusters that power advertising measurement at Amazon scale. Speed and accuracy are everything — our data enables advertisers to optimize ad spend and allocate budgets effectively by delivering accurate, actionable, and timely performance metrics across Amazon's full advertising suite. About the team Join the Amazon Ads team! This is a unique opportunity to take ownership and lead significant initiatives, building innovative solutions to complex and challenging problems. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for unprecedented growth. 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 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 with big data technologies such as: Hadoop, Hive, Spark, EMR 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, Santa Monica - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science at Amazon.com Services LLC. Skills: Distributed systems, Data engineering, Ad Tech, System architecture. Architect systems. Process petabytes of data", "postedDate" : "2026-06-13T14:28:45.685", "createdAt" : "2026-06-13T14:28:45.685", "lastUpdated" : "2026-06-15T05:29:49.678", "ingestTimestamp" : "2026-06-13T14:28:45.685", "mongoId" : "6a2176da74d8ee00a0c1b22d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437885/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Data pipelines", "API design", "Versioning strategies", "Machine learning", "Big data technologies", "Leadership", "Mentoring", "Data engineering", "Ad Tech", "System architecture", "Platform design", "System design", "Architectural decisions", "Technical direction", "Engineering strategy", "Measurement infrastructure", "Reporting infrastructure", "Big data platforms", "Cloud-native architecture" ], "skillCount" : 20, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Ad Tech" }, { "id" : "6a2c8d6e74d8ee00a0978f3d", "title" : "Data Scientist, Client Data & Measurement", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 110000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-15T06:50:13.930", "fingerprint" : "b0d3ebbb96681492566962e21a928456f3987faa3be235e336113435d9433a7f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/7b6a31d8-0bc2-4634-994c-152072e23416/application", "externalId" : "7b6a31d8-0bc2-4634-994c-152072e23416", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "Python, Spark, PySpark, SQL", "professionalSkills" : [ "Data storytelling", "Model performance optimization" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data visualization", "Experimental design", "Database manipulation", "Query languages", "Programming" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Database manipulation", "level" : "intermediate" }, { "name" : "Query languages", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Statistics, Data analysis", "majorSkillsList" : [ "Machine learning", "Statistics", "Data analysis" ], "coreResponsibilities" : "Contribute to creating best practices, Initiate and drive collaboration with stakeholders, architects, and, Discover, define, cleanse, and refine data for analysis, Analyze large and novel datasets, Extract actionable insights, Inform model development, Understand consumer behavior, Inform experimental design, Formulate solutions addressing business challenges and innovation opportunities, Build models using statistical and machine learning techniques, Select best type of model, Measure and optimize model performance, Prepare models for production deployment, Monitor model performance over time", "teamCollaboration" : "Collaboration with stakeholders; Collaboration with architects; Collaboration with data engineers; Collaboration with multiple spokes", "domainKnowledge" : "Client Data & Measurement; Consumer behavior; MLOps", "domainList" : [ "client-data-measurement", "consumer-behavior", "mlops" ], "domainSpecificKnowledge" : [ "Client Data & Measurement", "Consumer behavior", "MLOps" ], "communicationSkills" : "Data storytelling", "continuousLearning" : "Learning from senior scientists and managers; Staying at the forefront of the latest advances in data science and machine learning", "innovationCreativity" : "Innovation opportunities", "problemSolvingSkills" : "Analytical and problem solving skills", "outcomesObjectives" : "Identify and build strategic opportunities to grow the business; Support initiatives; Drive value", "qualificationsBasic" : "2+ years progressive experience, Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field, Demonstrated Python skills, Demonstrated knowledge, skills, and abilities in database manipulation, query languages, modeling techniques, and programming according to best practices", "qualificationsPreferred" : "Advanced degree preferred, Spark or PySpark experience is a plus, Exposure to or interest in manipulating complex data distributed systems, and data streams, Exposure to or interest in MLOps a plus, Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ibotta is seeking a Data Scientist to join our Client Data & Measurement team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data science, testing methodologies, and statistics to provide actionable insights to the Client Data and & Measurement teams. As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust models and methodologies for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You http://layout.You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team. Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Contribute to creating best practices for the team - Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling - Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior - Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities - Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performance - Prepare models for production deployment and monitoring of performance over time - Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: - 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience - Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred - A passion for driving important decisions using data science and data storytelling - A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. - Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus - Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms - Demonstrated Python skills. Spark or PySpark experience is a strong plus - Broad and general statistical and mathematical knowledge and skills - Excellent analytical and problem solving skills - Demonstrated knowledge, skills, and abilities in database manipulation, query languages, modeling techniques, and programming according to best practices - graph data schemasExposure to or interest in manipulating complex data distributed systems, and data streams - Exposure to or interest in MLOps a strong plus About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $110,000 - $130,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Data Scientist, Client Data & Measurement at Ibotta. Skills: Machine learning, Statistics, Data analysis. Contribute to creating best practices. 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We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities - Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems - Disambiguate problems to propose clear evaluation frameworks and success criteria - Work autonomously and write high quality technical documents - Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production - Partner closely with other scientists to deliver large, multi-faceted technical projects - Share and publish works with the broader scientific community through meetings and conferences - Communicate clearly to both technical and non-technical audiences - Contribute new ideas that shape the direction of the team's work - Mentor more junior scientists and participate in the hiring process About the team We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions. Basic Qualifications: - 2+ 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 building machine learning models or developing algorithms for business application Preferred Qualifications: - Experience with popular deep learning frameworks such as MxNet and Tensor Flow - Experience in professional software development - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience in designing experiments and statistical analysis of results - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience in patents or publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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, Ads Measurement Science at Amazon.com Services LLC. Skills: Machine Learning, Data Science, Statistical Modeling. Design and implement machine learning models. 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As a Board Operations Manager, you'll be the operational engine behind Board and Board committee meetings, keeping papers, platforms, communications, and logistics moving seamlessly across time zones and geographies. This is a role where precision, discretion, and initiative matter in equal measure. You'll work closely with the broader Company Secretary team and partner with stakeholders across Xero to continuously improve governance processes — from refining how papers get loaded in Diligent to coordinating in-person Board weeks in New Zealand, the US, and the UK. The work is varied, fast-paced, and genuinely consequential. The team & how they connect The Company Secretary team sits within Xero's broader legal function and is responsible for Xero's governance and compliance obligations as an ASX-listed company. The team is small, collaborative, and operates with a high degree of trust. This role reports to the Deputy Company Secretary and sits at the intersection of the executive team, the Board, and the broader Xero business. The role will initially focus on: - Owning and improving the end-to-end Board paper process, including managing Diligent, refining templates, and liaising with EA and operations teams across Xero - Planning and coordinating Board and committee meetings — agendas, shell minutes, logistics, and in-person events including hotels, catering, and travel - Supporting the Company Secretary on key governance calendar items including the AGM, annual Board performance review, and Director induction programme - Reviewing and updating Company Secretary policies and playbooks to reflect best practice and drive continuous improvement Where and how you can work This role is based in Melbourne and Xero operates on a hybrid working model, so you'll have flexibility to balance time in the office with remote work. Given the nature of the Board calendar and in-person event coordination, there's an expectation of regular office attendance, particularly around Board weeks including some travel. Here are some of the things we are looking for - A background in Board coordination, company secretarial support, or executive assistance at C-suite or Board level — ideally with exposure to a global tech environment - Confidence managing competing priorities in a fast-moving environment, with the composure to stay on top of details when things get busy - Have grit and resilience to change - Ability and desire to work in a highly dynamic environment and to operate within a constantly changing and evolving environment - Strong relationship skills — you'll be the connective tissue between directors, the Company Secretary, and teams across Xero, and you'll know how to work with discretion and good judgement at every level - Experience utilizing AI tools to improve workflows and have the experimentation mindset - A genuine enthusiasm for process improvement — you'll notice what could work better and take initiative to fix it - Clear, considered communication — whether you're drafting a director communication, managing a Slack channel, or coordinating logistics across multiple time zones Apply even if your experience isn't a perfect match! 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Define product roadmap", "postedDate" : "2026-06-16T01:49:09.957", "createdAt" : "2026-06-16T01:49:09.957", "lastUpdated" : "2026-06-16T11:29:08.701", "ingestTimestamp" : "2026-06-16T01:49:09.957", "mongoId" : "6a307f69f292fd229c058edc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Roadmap planning" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d8574d8ee00a09793c7", "title" : "GTM Strategy and Operations", "company" : "Sierra", "industry" : "Operations", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco, CA", "locations" : [ "San Francisco, CA" ], "timestamp" : "2026-06-15T09:48:21.262", "fingerprint" : "7da5e61aef0683e803b478fd339ad198a02353a31878b5c98bf488b6515e89c6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sierra/6b9b6904-a4b1-444b-8c35-f2bbb5ee2ff5/application", "externalId" : "6b9b6904-a4b1-444b-8c35-f2bbb5ee2ff5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "SQL", "professionalSkills" : [ "Territory strategy", "Territory operations", "Account allocation", "Data analysis", "Data-driven frameworks", "Process improvement", "Seller productivity", "Stakeholder management", "Sales alignment", "Operational rigor", "Strategic initiatives" ], "hardSkillsList" : [ "Data analysis", "Territory planning", "Account segmentation", "Quota design" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Territory planning", "level" : "intermediate" }, { "name" : "Account segmentation", "level" : "intermediate" }, { "name" : "Quota design", "level" : "intermediate" } ], "majorSkills" : "Territory strategy, Territory operations, Sales operations", "majorSkillsList" : [ "Territory strategy", "Territory operations", "Sales operations" ], "coreResponsibilities" : "Own territory strategy, Refine sales territories, Align with company priorities, Align with growth goals, Align with coverage models, Own territory carve process, Allocate accounts, Rebalance territories, Ensure data accuracy, Analyze territory performance, Develop data-driven frameworks, Prioritize accounts, Identify opportunities to improve efficiency, Identify opportunities to improve seller productivity, Partner with Sales, Partner with RevOps, Partner with leadership, Align on territory decisions, Communicate territory changes, Serve as partner to sales leadership, Balance business needs, Drive improvements to territory planning, Increase scalability, Increase transparency, Increase operational rigor, Take on operational work, Take on strategic initiatives", "teamCollaboration" : "Partner with Sales; Partner with RevOps; Partner with leadership; Sales leadership partner", "domainKnowledge" : "Revenue operations; Sales operations; Business operations; Customer experience; AI platforms", "domainList" : [ "revenue-operations", "sales-operations", "business-operations", "customer-experience", "ai-platforms" ], "domainSpecificKnowledge" : [ "Revenue operations", "Sales operations", "Business operations", "Customer experience", "AI platforms" ], "toolProficiency" : [ "CRM platforms", "Salesforce", "HubSpot" ], "communicationSkills" : "Communicate changes", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "4-6+ years experience, Analytical skills, Experience building models, Working with large datasets, Own and execute processes, High attention to detail, High accuracy, Excellent stakeholder management, Excellent communication skills, Experience working with senior stakeholders, High level of judgment, High discretion, Ability to navigate ambiguity, Prioritize effectively, Drive alignment", "qualificationsPreferred" : "SQL experience, Familiarity with CRM platforms, Experience with territory planning, Account segmentation experience, Quota design experience, Previous startup operational experience, High-growth operational experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO Own Sierra’s territory strategy and operations end-to-end, including: - Territory Strategy: Design and continuously refine sales territories to align with company priorities, growth goals, and coverage models across segments - Territory Operations: Own the bi-weekly territory carve process, including account allocation, rebalancing, and ensuring data accuracy across systems - Analytics & Insights: Analyze territory performance, develop data-driven frameworks for account prioritization, and proactively identify opportunities to improve efficiency and seller productivity - Stakeholder Management & Communication: - Partner closely with Sales, RevOps, and leadership to align on territory decisions - Communicate territory changes clearly and thoughtfully, particularly in high-impact or sensitive situations - Serve as a trusted front-line partner to sales leadership, balancing business needs with strong stakeholder empathy - Identify and drive improvements to territory planning processes to increase scalability, transparency, and operational rigor - Serve as a versatile and proactive team player, taking on both foundational operational work and high-impact strategic initiatives WHAT YOU’LL BRING - 4–6+ years of experience in revenue operations, sales operations, management consulting, corporate strategy, or business operations - Strong analytical skills, with experience building models and working with large datasets to drive decision-making - Proven ability to own and execute complex operational processes with high attention to detail and accuracy - Excellent stakeholder management and communication skills, including experience working with and influencing senior stakeholders or executives - High level of judgment and discretion, particularly when managing and communicating changes that impact sales teams - Ability to navigate ambiguity, prioritize effectively, and drive alignment in a fast-paced environment EVEN BETTER... - SQL experience - Familiarity with CRM platforms (e.g., Salesforce, HubSpot) - Experience with territory planning, account segmentation, or quota design - Previous startup or high-growth operational experience OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.", "summaryDescription" : "GTM Strategy and Operations at Sierra. Skills: Territory strategy, Territory operations, Sales operations. Own territory strategy. Refine sales territories", "createdAt" : "2026-06-14T09:42:16.056", "lastUpdated" : "2026-06-15T09:48:21.262", "ingestTimestamp" : "2026-06-14T09:42:16.056", "mongoId" : "6a2c8d8574d8ee00a09793c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data analysis", "Territory planning", "Account segmentation", "Quota design", "Territory strategy", "Territory operations", "Sales operations", "Account allocation", "Data-driven frameworks", "Process improvement", "Seller productivity", "Stakeholder management", "Sales alignment", "Operational rigor", "Strategic initiatives", "Revenue operations", "Business operations", "Customer experience", "AI platforms", "CRM platforms", "Salesforce", "HubSpot" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fa31574c40e2acd15a91b7", "title" : "Applied Scientist, Ads Measurement Science", "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" : "2026-06-15T02:46:01.804", "fingerprint" : "f1dccae36cdb50eca51c932868c3409e89c94546ba6454f6037ba3bed9141812", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411632/apply", "externalId" : "3f560a8e-d6f0-4bfe-841a-23051de18a20", "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" : "PhD", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, Machine Learning, Causal Inference, Natural Language Processing, Computer Vision, Java, C++, Python", "professionalSkills" : [ "Ads measurement", "Performance measurement", "Media optimization", "Data analysis", "Model productionization" ], "hardSkillsList" : [ "Model building", "Data modeling", "Algorithm design", "Data analysis", "Scientific research" ], "softSkillsList" : [ "Autonomy", "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Model building", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Scientific research", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Autonomy" }, { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning, Causal Inference, Natural Language Processing, Computer Vision", "majorSkillsList" : [ "Machine Learning", "Causal Inference", "Natural Language Processing", "Computer Vision" ], "coreResponsibilities" : "Lead measurement solutions, Propose models, Design models, Analyze models, Productionize models, Provide measurement insights, Invent solutions, Disambiguate problems, Propose evaluation frameworks, Propose success criteria, Write technical documents, Implement critical-path code, Partner with engineers, Carry solutions into production, Partner with scientists, Deliver technical projects, Share works, Publish works, Communicate clearly, Contribute new ideas, Mentor junior scientists, Participate in hiring process", "teamCollaboration" : "Partner closely with scientists; Work with engineers; Work with product managers; Work with sales leaders", "domainKnowledge" : "Ads measurement; Performance measurement; Media optimization; Generative AI; Classical ML; Causal Inference; Natural Language Processing; Computer Vision", "domainList" : [ "ads-measurement", "performance-measurement", "media-optimization", "generative-ai", "classical-ml", "causal-inference", "natural-language-processing", "computer-vision" ], "domainSpecificKnowledge" : [ "Ads measurement", "Performance measurement", "Media optimization", "Generative AI", "Classical ML", "Causal Inference", "Natural Language Processing", "Computer Vision" ], "communicationSkills" : "Communicate clearly; Technical documentation", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Contribute new ideas", "problemSolvingSkills" : "Disambiguate problems; Invent solutions", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, PhD and 3+ years experience, 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", "qualificationsPreferred" : "Experience using Unix/Linux", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities - Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems - Disambiguate problems to propose clear evaluation frameworks and success criteria - Work autonomously and write high quality technical documents - Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production - Partner closely with other scientists to deliver large, multi-faceted technical projects - Share and publish works with the broader scientific community through meetings and conferences - Communicate clearly to both technical and non-technical audiences - Contribute new ideas that shape the direction of the team's work - Mentor more junior scientists and participate in the hiring process About the team We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions. 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. 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 - 172,400.00 - 223,400.00 USD annually", "summaryDescription" : "Applied Scientist, Ads Measurement Science at Amazon.com Services LLC. Skills: Machine Learning, Causal Inference, Natural Language Processing, Computer Vision. Lead measurement solutions. Propose models", "postedDate" : "2026-06-13T07:23:19.867", "createdAt" : "2026-06-13T07:23:19.867", "lastUpdated" : "2026-06-15T02:46:01.804", "ingestTimestamp" : "2026-06-13T07:23:19.867", "mongoId" : "69fa31574c40e2acd15a91b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411632/apply", "salaryAnnualMin" : 172400, "salaryAnnualMax" : 223400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Model building", "Data modeling", "Algorithm design", "Data analysis", "Scientific research", "Autonomy", "Leadership", "Mentoring", "Machine Learning", "Causal Inference", "Natural Language Processing", "Computer Vision", "Ads measurement", "Performance measurement", "Media optimization", "Model productionization", "Generative AI", "Classical ML" ], "skillCount" : 18, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e423f8b1b0376634c574", "title" : "Senior Order to Revenue Operations Lead, Order to Revenue (O2R) & Revenue Reporting", "company" : "Amazon Web Services, Inc.", "industry" : "Corporate Operations, Sales Operations Job Family, Cloud Computing", "salary" : { "min" : 120500.0, "max" : 199300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T02:32:12.763", "fingerprint" : "b350f22a1e6ca5fbe8af24a3a3a5d0d65bca2b7d2e956f163d573c25f0ca0b25", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078065/apply", "externalId" : "085af0d2-8a7d-48cd-bd0e-85ad8abc4f9d", "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", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the Amazon Web Services (AWS) Professional Services team! We are looking for an entrepreneurial, process improvement-oriented Manager, Order to Revenue (O2R) to help us scale our growth. This is a unique opportunity that will allow you to lead and shape the direction of our Partner, Project Management, Billing and Revenue operations function globally as we help accelerate our enterprise customers’ journey to the cloud. The ideal candidate for this role must demonstrate exceptional tactical skills to effectively prioritize critical daily operations and provide crucial support to the global team. A key factor for success in this position is the ability to lead a worldwide team while thriving in a fast-paced, ambiguous, and demanding work environment. We are seeking a self-motivated individual with a proven track record in team leadership, coupled with comprehensive knowledge in project management and process improvement, market expansions, accounting, tax, financial management, automation, and experience with Order-To-Cash (OTC) across multiple regions. The successful candidate will possess strong relationship-building and strategic influencing skills, supporting and enabling the team to drive large-scale change management initiatives across various functions and geographies. They must also demonstrate meticulous attention to detail, excellent written and presentation skills, and a relentless pursuit of improvement and optimization. This role requires a dynamic leader who can balance strategic thinking with hands-on tactical execution, ensuring the team's day-to-day operations are efficiently managed while driving long-term organizational goals. The ability to adapt quickly, make informed decisions in complex situations, and guide a diverse global team through challenges is essential for excelling in this position. Key job responsibilities This position, based within our Order to Cash & Revenue Reporting team, will support all four functions, which has team members globally in the Americas, EMEA, and Asia Pacific regions. Primary responsibilities include: * Own day-to-day team execution and manage workflows to identify operational tasks across the global teams. * Act as primary escalation point for the team on complex or ambiguous issues. * Oversee and have understanding of the full contract to revenue lifecycle and scale O2C and Revenue Reporting capabilities. This includes process improvement, streamlining and standardizing billing processes globally across various system, advancing billing automation and partner on-boarding. * Invent new ways to define and measure program effectiveness and organizational productivity and KPI’s. * Be a liaise for the team between Sales, Legal, Finance, Tax, Accounting, Accounts Payable, Accounts Receivable and contracting team to ensure smooth mechanisms for enablement and align with internal policies. * Coordinate with teams across Leadership, Business Operations, Finance, Accounting, Tax, Legal, HR, and IT to ensure that the Standard Operations Procedures are followed and implemented. * Serve as a functional lead to translate business needs into technical requirements for system teams. * Coordinate with the team to troubleshoot and perform UAT and PVT testing cross-systems as part of market expansions, system migrations and troubleshooting. * Partner with Sales and Business Strategy teams to provide subject matter expertise offering guidance on best practices and system usage. * Monitor the accuracy of revenue recognition and support month-end timeline by partnering with Accounting, Business Operations & Advisory and Delivery teams for input completeness. * Own the monthly business review and KPI updates. * Lead special projects with the team to drive improvements and integrations across Professional Services Operations and partnering business teams. * Perform ad hoc, deep dive analysis as needed to develop recommendations and impact the decision-making of Professional Services Leadership. About the team The Order to Revenue function enables global partner invoicing and on-boarding, order processing, invoicing, revenue reporting, revenue forecasting and insights, and financial audit capabilities within AWS Professional Services (ProServe). Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Basic Qualifications: - 10+ years of Microsoft Excel experience - Bachelor's degree or equivalent - Experience developing and implementing systems/tools utilized for CRM, variable compensation, revenue reporting, forecasting, Salesforce automation, etc. - Experience defining, refining and implementing sales processes, procedures and policies or equivalent Preferred Qualifications: - Experience using Salesforce (or other CRM tool) or BI tools - Experience presenting to senior leadership - Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations - Master’s degree in Accounting, MBA, or CPA 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 $120,500/year in our lowest geographic market up to $199,300/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 Order to Revenue Operations Lead, Order to Revenue (O2R) & Revenue Reporting at Amazon Web Services, Inc.", "postedDate" : "2026-06-14T19:48:03.524", "createdAt" : "2026-06-14T19:48:03.524", "lastUpdated" : "2026-06-16T02:32:12.763", "ingestTimestamp" : "2026-06-14T19:48:03.524", "mongoId" : "68c2e423f8b1b0376634c574", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078065/apply", "salaryAnnualMin" : 120500, "salaryAnnualMax" : 199300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc3ad74d8ee00a0a0a20a", "title" : "Software Development Engineer, , Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS)", "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" : "2026-06-16T02:21:07.433", "fingerprint" : "87ff2f7906467276c21fea8efa56027ba2d583ea968f2587f9040b0fe2d59de7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10447915/apply", "externalId" : "b7637a0a-e9f8-407f-a256-a8ac0b93fd3a", "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", "experienceMinYears" : 3, "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Are you excited about building and operating at Internet scale? Do you like inventing, growing and learning from world-class engineers? If so, we want to hear from you! Our team’s mandate is to launch and accelerate adoption of advertising planning products and services that enhance advertiser experience both on and off-Amazon. We are responsible for defining and delivering self-service media planning and measurement products that enable Advertisers to understand the impact of their Advertising on consumers. Our products are strategically important to drive long term growth and operate at the intersection of Amazon e-Commerce and Advertising, which means our solutions must work at a massive scale. If you want to work on big data, this is a great place to be. As a Software Development Engineer on the team, you will be responsible for the design, implementation, testing, and deployment of data-intensive analytical products that will help steer the future of advertising. Our stack includes Spark (Scala), EMR, Redshift, Presto, S3, Elasticsearch, JVM-based services, React UIs, and numerous proprietary data exchanges, job schedulers, and cluster management services that oversee our hundreds of discrete daily executions. We are always looking for meaningful improvements so there is plenty of room to introduce new processes and technologies. You have razor-sharp architectural instincts and love to collaborate by bouncing ideas around a similarly talented team. Our team believes in everyone being driven enough to not need a lot of structure throughout the day; this can translate directly into a low meeting volume with minimal interruptions when desired or a stream of breakout sessions with like-minded colleagues. We want you to be able to innovate how you want to innovate. This role requires you to have excellent analytical skills and attention to detail when it comes to hard engineering problems that force you to cut through ambiguity and establish creative solutions. If you have an ownership mentality and like to invent, this is the team for you. Come have fun and build things with us. 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 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, , Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS) at Amazon Development Centre Canada ULC", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T19:10:15.099", "lastUpdated" : "2026-06-16T02:21:07.433", "ingestTimestamp" : "2026-06-14T19:10:15.099", "mongoId" : "6a2cc3ad74d8ee00a0a0a20a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10447915/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fa31574c40e2acd15a91b5", "title" : "Applied Scientist, Ads Measurement Science", "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" : "2026-06-14T22:28:34.839", "fingerprint" : "ef5568afac11843361598a591737778af2061e9397a5692113bc9e3301f6de64", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411633/apply", "externalId" : "c596eb5a-ce9c-43e0-b3d0-b0c51445001c", "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" : "PhD", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Generative AI, ML, NLP, CV, Causal Inference", "professionalSkills" : [ "Ads measurement", "Performance measurement", "Media optimization", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Model implementation", "Model productionization", "Scientific modeling", "Statistical analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Model implementation", "level" : "intermediate" }, { "name" : "Model productionization", "level" : "intermediate" }, { "name" : "Scientific modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Measurement science, Machine learning, Causal inference, Data science", "majorSkillsList" : [ "Measurement science", "Machine learning", "Causal inference", "Data science" ], "coreResponsibilities" : "Lead measurement solutions end-to-end, Propose measurement models, Design measurement models, Analyze measurement models, Productionize measurement models, Provide novel measurement insights, Invent solutions to ads measurement problems, Disambiguate problems, Propose evaluation frameworks, Propose success criteria, Write technical documents, Implement critical-path code, Partner with engineers, Carry solutions into production, Partner with scientists, Deliver technical projects, Share works with scientific community, Publish works with scientific community, Contribute new ideas, Mentor junior scientists, Participate in hiring process", "teamCollaboration" : "Partner closely with other scientists; Partner with engineers; Partner with product managers; Partner with sales leaders; Work with colleagues", "domainKnowledge" : "Ads measurement; Performance measurement; Media portfolios; Generative AI; Classical ML; Causal Inference; Natural Language Processing; Computer Vision", "domainList" : [ "ads-measurement", "performance-measurement", "media-portfolios", "generative-ai", "classical-ml", "causal-inference", "natural-language-processing", "computer-vision" ], "domainSpecificKnowledge" : [ "Ads measurement", "Performance measurement", "Media portfolios", "Generative AI", "Classical ML", "Causal Inference", "Natural Language Processing", "Computer Vision" ], "communicationSkills" : "Communicate clearly; Technical documentation", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Invent solutions; Contribute new ideas", "problemSolvingSkills" : "Disambiguate problems; Analyze models", "outcomesObjectives" : "Provide novel measurement insights", "qualificationsBasic" : "3+ years building models, 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" : "PhD preferred, Experience using Unix/Linux", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities - Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems - Disambiguate problems to propose clear evaluation frameworks and success criteria - Work autonomously and write high quality technical documents - Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production - Partner closely with other scientists to deliver large, multi-faceted technical projects - Share and publish works with the broader scientific community through meetings and conferences - Communicate clearly to both technical and non-technical audiences - Contribute new ideas that shape the direction of the team's work - Mentor more junior scientists and participate in the hiring process About the team We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions. 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. 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 - 172,400.00 - 223,400.00 USD annually", "summaryDescription" : "Applied Scientist, Ads Measurement Science at Amazon.com Services LLC. Skills: Measurement science, Machine learning, Causal inference, Data science. Lead measurement solutions end-to-end. Propose measurement models", "postedDate" : "2026-06-13T04:24:39.570", "createdAt" : "2026-06-13T04:24:39.570", "lastUpdated" : "2026-06-14T22:28:34.839", "ingestTimestamp" : "2026-06-13T04:24:39.570", "mongoId" : "69fa31574c40e2acd15a91b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411633/apply", "salaryAnnualMin" : 172400, "salaryAnnualMax" : 223400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Model implementation", "Model productionization", "Scientific modeling", "Statistical analysis", "A/B testing", "Causal inference", "Leadership", "Mentoring", "Measurement science", "Machine learning", "Data science", "Ads measurement", "Performance measurement", "Media optimization", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Media portfolios", "Generative AI", "Classical ML", "Causal Inference", "Natural Language Processing", "Computer Vision" ], "skillCount" : 25, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "ability to perform these operations using weight measurement and distance jobs", "metadata" : { "title" : "ability to perform these operations using weight measurement and distance" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 52514, "totalPages" : 1051, "hasNext" : true, "hasPrevious" : false } }

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