{ "count" : 232388, "data" : [ { "id" : "6a2a660274d8ee00a062b750", "title" : "Data Engineering Manager, Specialist Technology Team", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Data Engineering, Cloud Computing", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-14T23:39:53.229", "fingerprint" : "cb84d152f39d95ea48593f109537f1db9e984c8e99b6acc8c4a813ead62980d9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444084/apply", "externalId" : "a5719f4b-0286-4b5d-92d6-b159f7ad3bcb", "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", "technicalSkills" : "Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, Redshift, S3, EC2", "professionalSkills" : [ "Business intelligence", "Data engineering", "Analytics engineering", "System design", "Data strategy" ], "hardSkillsList" : [ "ETL/ELT processes", "Data modeling", "Data architecture", "Measurement frameworks", "Agentic data systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ETL/ELT processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" }, { "name" : "Agentic data systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data strategy, Data architecture, Business intelligence, Team management", "majorSkillsList" : [ "Data strategy", "Data architecture", "Business intelligence", "Team management" ], "coreResponsibilities" : "Define and own data strategy and architecture, Partner with Product Teams and senior leaders, Establish measurement frameworks, Quantify product efficacy and business impact, Lead evolution from static dashboards, Build, manage, and develop team, Maintain high hiring bar, Foster culture of operational excellence, Partner with product management, engineering, and field leadership, Ensure data infrastructure meets stakeholder needs, Drive integration strategies, Embed analytics into workflows, Represent data function in executive reviews, Articulate strategy, results, and trade-offs, Make architectural trade-offs, Balance speed-to-insight with data quality", "teamCollaboration" : "Partner with Product Teams; Partner with product management; Partner with engineering; Partner with field leadership; Executive reviews", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "AI-powered systems; Generative AI; Agentic technologies", "domainList" : [ "ai-powered-systems", "generative-ai", "agentic-technologies" ], "domainSpecificKnowledge" : [ "AI-powered systems", "Generative AI", "Agentic technologies" ], "toolProficiency" : [ "AWS", "Redshift", "S3", "EC2" ], "communicationSkills" : "Executive presentations", "innovationCreativity" : "Generative AI; Agentic technologies", "problemSolvingSkills" : "Data-driven decisions", "outcomesObjectives" : "Accelerate customer success; Drive frictionless AWS adoption; Enable field teams to deliver high-quality engagements", "qualificationsBasic" : "4+ years data structures for BI analytics, 2+ years relational database technology, Experience managing a data or BI team, Experience leading data or BI strategy, Experience in scripting or programming language", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools and Technologies, Knowledge of software development life cycle, Experience building data infrastructure supporting AI/ML pipelines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers—delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries. Our portfolio spans AI-powered specialist knowledge systems, hands-on engagement platforms (e.g., Workshop Studio), content quality and recommendation engines, and go-to-market orchestration tools—collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity that require a sophisticated data strategy to capture, model, and translate into actionable insight. We are seeking a Data Engineering Manager to build and lead the data engineering and business intelligence function for STT. You will own the centralized data infrastructure that measures the efficacy and impact of our entire product portfolio, and you will drive the evolution from static reporting into an ecosystem of intelligent, agent-powered data experiences that enable stakeholders to intuitively access and consume data within their day-to-day workflows. This is a foundational leadership role with direct visibility to senior leaders across AWS's sales organization. The insights and data your team generates inform high-impact decisions about where to invest, how to measure organizational effectiveness, and how to demonstrate the value our products deliver at scale. You will manage a team of Business Intelligence Engineers and Data Engineers, owning the full end-to-end data strategy—from foundational infrastructure and pipeline engineering through to analytics, measurement, and insight delivery. You are not just building data assets; you are ensuring the right questions get answered and the right data reaches the right decision-makers at the right time to move the needle on large business outcomes. Key job responsibilities - Define and own the data strategy and centralized architecture for the organization—connecting product telemetry, usage metrics, and business outcomes into a coherent, scalable data ecosystem - Partner with Product Teams and senior leaders to establish measurement frameworks that quantify product efficacy and business impact, enabling data-driven investment decisions across the portfolio - Lead the evolution from static dashboards toward agentic data systems that allow AI to surface insights within existing field team workflows - Build, manage, and develop a high-performing team of Business Intelligence Engineers and Data Engineers, maintaining a high hiring bar and fostering a culture of operational excellence - Partner with product management, engineering, and field leadership to ensure data infrastructure meets stakeholder needs and answers the right business questions - Drive integration strategies that embed analytics into day-to-day workflows, reducing friction between data and decision-making - Represent the data function in executive reviews with Directors and VPs, articulating strategy, results, and trade-offs - Make architectural trade-offs between short-term delivery and long-term scalability, balancing speed-to-insight with data quality and governance About the team You will be joining a high-growth engineering organization that is at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The pace of innovation is high, the problems are ambiguous, and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to define a function from the ground up and shape how an entire organization consumes and acts on data. Basic Qualifications: - 4+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Knowledge of software development life cycle or agile development environment with emphasis on BI practices - Experience and demonstrated industry leadership in the fields of database or data warehousing, data sciences and big data processing - Experience building data infrastructure supporting AI/ML pipelines or agentic systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 187,000.00 - 253,000.00 USD annually USA, TX, Austin - 170,000.00 - 230,000.00 USD annually USA, WA, Seattle - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Data Engineering Manager, Specialist Technology Team at Amazon Web Services, Inc.. Skills: Data strategy, Data architecture, Business intelligence, Team management. Define and own data strategy and architecture. 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"hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a30564bf292fd229cf26f3a", "title" : "Data Engineering Manager for Accounts Payables Technology", "company" : "ADCI HYD 13 SEZ", "industry" : "Data Science, Data Engineering, finance", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Data Engineering Manager in Hyderabad, India, adjusted for manager seniority, FinTech industry, and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T07:32:16.692", "fingerprint" : "7a8e336967211612ea8c88b6e9f7f090eef9d4fcb863a396bf523094b65e6706", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448504/apply", "externalId" : "e7f19643-09b3-4b4d-bf7d-583d8ad67476", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Redshift, Teradata, Netezza, Spark, Hadoop, Oracle, MySQL, MS SQL, ETL, ELT, Python, Java, Scala, NodeJS, Hive, EMR, AWS, S3, EC2, Lambda", "professionalSkills" : [ "Data architecture", "Operational excellence", "System resilience", "Strategic vision", "Intelligent automation", "Predictive anomaly detection", "AI-powered insights", "Performance management", "Engineering best practices", "Root cause analysis", "Schema evolution", "System migrations", "AI capabilities", "Auto-healing pipelines", "Natural language querying", "AI-driven monitoring", "Future-proofing platforms", "Psychologically safe model", "Delegation", "Building leaders", "Strategic narratives", "Simplification of delivery", "Removing defects" ], "hardSkillsList" : [ "Data pipeline management", "Data quality monitoring", "Data delivery", "Machine learning adoption", "Generative AI adoption", "Pipeline health monitoring", "Data completeness monitoring", "Data accuracy monitoring", "Operational toil reduction", "Dashboard reporting", "Report generation", "AI/ML technology adoption", "AI-driven insights generation", "Pipeline automation", "Anomaly detection", "Data platform future-proofing", "Team development", "Coaching", "Performance management", "Inclusive team modeling", "Strategic planning", "Problem triage", "Problem breakdown", "Execution planning", "Escalation management", "Work simplification", "Defect removal", "Failure mode avoidance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Data delivery", "level" : "intermediate" }, { "name" : "Machine learning adoption", "level" : "intermediate" }, { "name" : "Generative AI adoption", "level" : "intermediate" }, { "name" : "Pipeline health monitoring", "level" : "intermediate" }, { "name" : "Data completeness monitoring", "level" : "intermediate" }, { "name" : "Data accuracy monitoring", "level" : "intermediate" }, { "name" : "Operational toil reduction", "level" : "intermediate" }, { "name" : "Dashboard reporting", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "AI/ML technology adoption", "level" : "intermediate" }, { "name" : "AI-driven insights generation", "level" : "intermediate" }, { "name" : "Pipeline automation", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Data platform future-proofing", "level" : "intermediate" }, { "name" : "Team development", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Inclusive team modeling", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" }, { "name" : "Problem triage", "level" : "intermediate" }, { "name" : "Problem breakdown", "level" : "intermediate" }, { "name" : "Execution planning", "level" : "intermediate" }, { "name" : "Escalation management", "level" : "intermediate" }, { "name" : "Work simplification", "level" : "intermediate" }, { "name" : "Defect removal", "level" : "intermediate" }, { "name" : "Failure mode avoidance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Data Architecture, AI/ML, Team Leadership", "majorSkillsList" : [ "Data Engineering", "Data Architecture", "AI/ML", "Team Leadership" ], "coreResponsibilities" : "Own infrastructure and reliability of DataNet jobs, Pull data from AP transaction processing systems, Define and execute data architecture roadmap, Make architectural decisions aligned with AP Tech strategy, Establish SLAs for pipeline health, Establish monitoring mechanisms for pipeline health, Establish audit metrics for pipeline health, Establish SLAs for data completeness, Establish monitoring mechanisms for data completeness, Establish audit metrics for data completeness, Establish SLAs for data accuracy, Establish monitoring mechanisms for data accuracy, Establish audit metrics for data accuracy, Drive root cause analysis for pipeline failures, Build automation to reduce operational toil, Improve system resilience, Partner with AP teams to manage upstream data, Partner with AP teams to manage schema evolution, Partner with AP teams to manage system migrations, Work closely with Operations teams, Ensure dashboards meet daily needs, Ensure reports meet daily needs, Champion AI/ML adoption, Champion generative AI adoption, Enable intelligent pipeline automation, Enable predictive anomaly detection, Enable AI-powered data insights, Evaluate emerging AI capabilities, Implement emerging AI capabilities, Lead team of data engineers, Hire data engineers, Develop data engineers, Coach data engineers, Performance-manage data engineers, Foster psychologically safe team model, Foster inclusive team model, Delegate tasks to build leaders, Write strategic narratives, Participate in OP1/OP2, Own team's charter, Own team's vision, Own team's tenets, Tackle complex problems, Triage problems, Break down problems, Plan execution, Execute plans, Escalate effectively when necessary, Drive simplification of delivery, Reduce repeated work, Remove defects, Structure efforts to avoid failure modes", "teamCollaboration" : "Partner with AP teams; Work with Operations teams; Cross-functional partnership", "projectManagementSkills" : [ "Roadmap planning", "Execution planning" ], "domainKnowledge" : "Accounts Payable; DataNet jobs; AP transaction processing; Generative AI; AI/ML technologies", "domainList" : [ "accounts-payable", "datanet-jobs", "ap-transaction-processing", "generative-ai", "ai-ml-technologies" ], "domainSpecificKnowledge" : [ "Accounts Payable", "DataNet jobs", "AP transaction processing", "Generative AI", "AI/ML technologies" ], "toolProficiency" : [ "DataNet jobs" ], "communicationSkills" : "Communicate to senior management; Write narratives", "innovationCreativity" : "AI/ML adoption; Generative AI adoption; Emerging AI capabilities", "problemSolvingSkills" : "Root cause analysis; Problem triage; Problem breakdown; Troubleshooting", "outcomesObjectives" : "Ensure timely data delivery; Ensure accurate data delivery; Ensure reliable data delivery; Elevate data platform value; Improve system resilience; Reduce operational toil", "qualificationsBasic" : "2+ years processing data with massively parallel technology, 2+ years relational database technology experience, 2+ years developing and operating large-scale data structures for BI analytics, 5+ years data engineering experience, Experience managing a data or BI team, Experience communicating to senior management, Experience leading and influencing data or BI strategy", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools and Technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data Engineering Manager to lead the team responsible for the infrastructure and reliability of all DataNet jobs that extract, transform, and deliver data from Accounts Payable transaction processing systems. These data pipelines power the dashboards and reports that Operations teams rely on for daily execution, decision-making, and compliance. You will independently own the end-to-end data architecture, drive operational excellence across pipeline health and data quality, and lead a team of data engineers through the full software lifecycle — from design and implementation to monitoring and maintenance. You will define the 3 years strategic vision for the data platform, work backwards from the needs of operations stakeholders, and build mechanisms that ensure timely, accurate, and reliable data delivery at scale. Critically, you will champion the adoption of AI and machine learning technologies — including generative AI — to transform how data pipelines are built, monitored, and consumed, driving intelligent automation, predictive anomaly detection, and AI-powered insights that elevate the value of the data platform beyond traditional reporting. As a people leader, you will hire, develop, and coach a high-performing team, establish engineering best practices, and partner cross-functionally with AP transaction processing teams and operations consumers to continuously improve the data products that drive daily business outcomes. Key job responsibilities - Own the end-to-end infrastructure and reliability of all DataNet jobs pulling data from AP transaction processing systems. - Define and execute the 3 years data architecture roadmap, making team-wide architectural decisions aligned with the broader AP Tech strategy. - Establish SLAs, monitoring mechanisms, and audit metrics for pipeline health, latency, data completeness, and accuracy. - Drive root cause analysis for pipeline failures and build automation to reduce operational toil and improve system resilience. - Partner with AP transaction processing teams to manage upstream data changes, schema evolution, and system migrations. - Work closely with Operations teams to ensure dashboards and reports meet their daily execution and decision-making needs. - Champion the adoption of AI/ML and generative AI technologies to enable intelligent pipeline automation, predictive anomaly detection, and AI-powered data insights. - Evaluate and implement emerging AI capabilities (e.g., auto-healing pipelines, natural language querying, AI-driven data quality monitoring) to future-proof the data platform. - Independently lead a team of data engineers — hire, develop, coach, and performance-manage across multiple levels (up to L5/L6). - Foster a psychologically safe, inclusive team environment; model Leadership Principles and delegate to build future leaders. - Write narratives and strategic documents; participate in OP1/OP2 planning; own the team's charter, vision, and tenets. - Tackle complex problems of up to 15-engineer scope — triage, break down, plan, and execute solutions; escalate effectively when necessary. - Drive simplification of delivery processes; reduce repeated work, remove defects, and structure efforts to avoid classic failure modes. Basic Qualifications: - 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience - 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - 5+ years of data engineering experience - Experience managing a data or BI team - Experience communicating to senior management and customers verbally and in writing - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) 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" : "Data Engineering Manager for Accounts Payables Technology at ADCI HYD 13 SEZ. Skills: Data Engineering, Data Architecture, AI/ML, Team Leadership. Own infrastructure and reliability of DataNet jobs. Pull data from AP transaction processing systems", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:46.092", "lastUpdated" : "2026-06-16T07:32:16.692", "ingestTimestamp" : "2026-06-15T21:59:46.092", "mongoId" : "6a30564bf292fd229cf26f3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448504/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline management", "Data quality monitoring", "Data delivery", "Machine learning adoption", "Generative AI adoption", "Pipeline health monitoring", "Data completeness monitoring", "Data accuracy monitoring", "Operational toil reduction", "Dashboard reporting", "Report generation", "AI/ML technology adoption", "AI-driven insights generation", "Pipeline automation", "Anomaly detection", "Data platform future-proofing", "Team development", "Coaching", "Performance management", "Inclusive team modeling", "Strategic planning", "Problem triage", "Problem breakdown", "Execution planning", "Escalation management", "Work simplification", "Defect removal", "Failure mode avoidance", "Leadership", "Data Engineering", "Data Architecture", "AI/ML", "Team Leadership", "Data architecture", "Operational excellence", "System resilience", "Strategic vision", "Intelligent automation", "Predictive anomaly detection", "AI-powered insights", "Engineering best practices", "Root cause analysis", "Schema evolution", "System migrations", "AI capabilities", "Auto-healing pipelines", "Natural language querying", "AI-driven monitoring", "Future-proofing platforms", "Psychologically safe model", "Delegation", "Building leaders", "Strategic narratives", "Simplification of delivery", "Removing defects", "Roadmap planning", "Accounts Payable", "DataNet jobs", "AP transaction processing", "Generative AI", "AI/ML technologies" ], "skillCount" : 61, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 1060.0001, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b1474d8ee00a0910169", "title" : "Data Engineering Manager", "company" : "Verve", "salary" : { "min" : 3000000.0, "max" : 5000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager-level Data Engineering Manager in the Technology industry in Bangalore, India, adjusted for seniority and company size." }, "location" : "Bangalore", "locations" : [ "Bangalore" ], "timestamp" : "2026-06-16T03:00:18.472", "fingerprint" : "014465e0601dc61476ae17e33dd939ec35502bbd83d401958f0ced7e060e1790", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/verve/jobs/8589370002", "externalId" : "8589370002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com. What You Will Do Provide full supervision and support for the local data engineering pod, spanning both data-platform and analytics/reporting work streams. Manage team capacity, lead hiring to backfill and grow the pod, and define team charters that support a fast-evolving data platform roadmap. Foster a high-performance culture across a distributed organization (Bangalore and EU), onboarding recent hires and establishing strong operational discipline (on-call/IRM, runbooks, incident response). Plan and execute multi-quarter initiatives with many interdependencies (e.g., the data lakehouse re-architecture (Apache Flink on GKE), the dedicated CTV late-impression pipeline, and CI/CD automation (ArgoCD)) ensuring alignment with architectural standards. Refine the team's engineering processes, methodologies, and technical standards: code quality, infrastructure-as-code, deployment automation, observability, and cost optimization. Partner closely with Product Management, Backend Engineering, Data Science, and Analytics to align the platform roadmap with business objectives. Stay active in technical implementation (estimated 50-70% hands-on): designing pipelines, delivering new product features, reviewing architecture and code, addressing tech debts, and troubleshooting production data issues. Undertake production responsibilities including setting up monitoring and alerts, oncall support, troubleshooting, incident management and communication, and postmortem. Independently design maintainable and scalable data systems for complex, high-throughput streaming and batch pipelines. Be aware and manage the infrastructure cost of data systems. What You Will Bring Minimum of 8 years of experience in Data Engineering, with a focus on leadership in technical settings. AdTech industry expertise (specifically programmatic auctions and high-volume bid/impression/RTB data) is strongly preferred. Expert knowledge of Python and SQL. Deep, hands-on experience with distributed data processing and streaming: Apache Spark / Spark Streaming and Apache Flink. Strong experience operating high-throughput event streaming and messaging with Apache Kafka. Proficiency with the Google Cloud data stack (BigQuery, GKE, GCS, Dataflow/Vertex AI) and infrastructure-as-code (Terraform). Experience building and operating CI/CD for data pipelines (e.g., ArgoCD, containerized/Docker deployments). Working knowledge of lakehouse and open table formats (e.g., Iceberg/Delta) and the trade-offs between real-time and batch architectures (latency, cost, governance). Familiarity with analytics/OLAP and BI tooling (e.g., Druid, Looker, Rill/Turnilo) and dimensional data modeling. What We Offer Just a few of the benefits waiting for you at Verve: Keep healthy through our Apollo Health Check-ups, and stay covered with our Medical Insurance for you and your family Pick what matters most to you in our INR 4100/month Personalized Benefits Platform: Travel, entertainment, food, fitness, and healthcare Have us cover your office lunches 3 times a week through Zomato, and enjoy office sweets, snacks, and beverages Boost your professional knowledge with our annual training budget & internal webinars, and level up your language skills through our German/English classes Recharge with 19 paid vacation days + 3 Wellness days throughout the year, in addition to the public holidays Strengthen team connections while exploring new cultures through our monthly Work&Travel raffle, offering a chance to work from one of our global offices (after 2 years of employment) … and even more reasons to join us! Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights. If you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your rights.", "summaryDescription" : "Data Engineering Manager at Verve", "postedDate" : "2026-06-14T19:09:22.437", "createdAt" : "2026-06-14T19:09:22.437", "lastUpdated" : "2026-06-16T03:00:18.472", "ingestTimestamp" : "2026-06-14T19:09:22.437", "mongoId" : "6a2c6b1474d8ee00a0910169", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 859.5456, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6949b14570f0b99d58827159", "title" : "Instructional Technology Specialist", "industry" : "Education", "salary" : { "min" : 78000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Instructional Technology Specialist in the United States, adjusted for senior seniority and the education industry." }, "location" : "Mead Middle School", "locations" : [ "Mead Middle School", "2601 E. Skinner", "67211" ], "certifications" : [ "Teaching license" ], "timestamp" : "2026-06-15T08:46:58.625", "fingerprint" : "8baea07085e3606478d0c3c43b1473a2e5ce64901279c380a4e6e0de527736db", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=86512", "externalId" : "86512", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Microsoft Office 365, Microsoft Teams, Microsoft Excel, Microsoft Forms, Microsoft Word, Microsoft Outlook, Student information system", "professionalSkills" : [ "Data analytics", "Curriculum integration", "Staff development", "Digital literacy", "Digital citizenship", "Pedagogical support", "Instructional coaching", "Data-driven instruction", "Assessment planning", "Educational data analysis", "Teaching instruction", "Time management", "Interpersonal skills", "Verbal communication", "Written communication", "Problem-solving skills" ], "hardSkillsList" : [ "Technology integration", "Data analysis", "Coaching" ], "softSkillsList" : [ "Leadership", "Patience" ], "hardSkills" : [ { "name" : "Technology integration", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Patience" } ], "majorSkills" : "Instructional technology, Data analysis, Coaching", "majorSkillsList" : [ "Instructional technology", "Data analysis", "Coaching" ], "coreResponsibilities" : "Integrate technology and data, Provide pedagogical support, Lead professional development, Coach educators, Coordinate assessment plans, Analyze educational data, Inform teaching strategies, Improve student outcomes, Train staff on assessments, Serve as liaison, Advocate for innovative practices, Support exploration of new technologies, Develop strategic plans, Assist with additional duties", "teamCollaboration" : "School leadership; Building-based academic leadership team; Instructional staff; Administrators; District directives", "projectManagementSkills" : [ "Strategic planning" ], "domainKnowledge" : "Educational pedagogy; Federal laws; State laws", "domainList" : [ "educational-pedagogy", "federal-laws", "state-laws" ], "domainSpecificKnowledge" : [ "Educational pedagogy", "Federal laws", "State laws" ], "toolProficiency" : [ "Microsoft Office 365", "Microsoft Teams", "Microsoft Excel", "Microsoft Forms", "Microsoft Word", "Microsoft Outlook" ], "communicationSkills" : "Verbal communication; Written communication", "innovationCreativity" : "Innovative teaching practices; New technologies", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Advanced computer skills, Respond rapidly, Stand for long periods, Bend, twist, balance, Stoop, climb steps, Reach overhead, Lift up to 20 pounds, Manage time independently, Respond within 24 hours, Limited travel, Comply with guidelines", "outcomesObjectives" : "Support and enhance student achievement; Improve student outcomes", "qualificationsBasic" : "Bachelor's degree required, 5 years classroom experience, Valid teaching license", "qualificationsPreferred" : "Master's degree preferred, Virtual instruction experience, LMS experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Instructional Technology Specialist Position Function: The Instructional Technology and Assessment Leader is a multifaceted position responsible for ensuring that technology and data analytics robustly support and enhance student achievement. This role involves curriculum integration, staff development, technical support, and the promotion of digital literacy and citizenship. The specialist will work closely with educators, students, and administrative staff to foster a technologically proficient learning environment that aligns with the school's vision and educational goals. This role is designed to be a cornerstone in the integration of technology and data within the educational landscape, ensuring that both are leveraged to maximize student achievement and prepare students for the demands of the 21st-century workplace. Essential Performance Responsibilities: Collaborate with school leadership and staff to integrate technology and data analytics into the curriculum effectively. Provide pedagogical support to teachers for leveraging technology in the classroom to facilitate deeper learning and digital citizenship. Lead professional development initiatives and coach educators in best practices for technology use and data-driven instruction as a member of the building-based academic leadership team. Coordinate the implementation of assessment plans and analyze educational data to inform teaching strategies and improve student outcomes. Provide training to staff on administering different types of assessments. Serve as a liaison between the school and assessment and research department, ensuring that data analysis aligns with educational objectives and district directives. Advocate for innovative teaching practices and support the exploration of new technologies to enhance learning experiences. Develop strategic plans that align with school goals and the broader mission of the district, including the integration of technology and data in instruction as a member of the building-based academic leadership team. Serve as a liaison between the school and instructional technology department, ensuring that technology integration aligns with educational objectives and district directives. Additional Duties: Assists with additional duties as assigned by supervisor. Equipment: Must have advanced computer and technology skills to be able to teach in a virtual environment. Microsoft Office 365 proficiency is required to deliver instruction via Microsoft Teams, Microsoft Office, Microsoft Excel, Microsoft Forms, Microsoft Word, and Microsoft Outlook. Virtual instruction or experience with using an LMS is a bonus. 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: Must be able to respond rapidly in emergency situations Must be able to stand for long periods of time, bend, twist balance, stoop, climb steps, reach overhead, lift up to 20 pounds Must be able to manage time independently Must be able to respond within 24 business hours to all communications Knowledge, Skills, and Abilities: Knowledge of current teaching methods and educational pedagogy Knowledge of applicable federal and state laws regarding education and students Ability and patience to work interactively with students Skill in organization, time management, communication, and interpersonal skills Ability to deliver teaching instruction in accordance with improved curriculum and standards Excellent skills in verbal and written communication Ability to understand the individual needs of each student Ability to effectively use Microsoft Outlook and the student information system Interrelations: Contact with students, instructional staff, administrators and the community. Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy. Must exhibit a professional manner and maintain a positive attitude at all times. 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's degree required, Master's degree preferred. Valid teaching license with a minimum of 5 years of classroom teaching experience. Strong background in instructional technology, data analysis, and coaching. Excellent communication, leadership, and problem-solving skills. Ability to work collaboratively with diverse groups and manage multiple responsibilities. Professional demeanor and commitment to continuous learning and improvement. FLSA Status: Exempt", "summaryDescription" : "Instructional Technology Specialist. Skills: Instructional technology, Data analysis, Coaching. Integrate technology and data. 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Downstream data consumers", "projectManagementSkills" : [ "Roadmap planning", "Backlog management", "Prioritization" ], "domainKnowledge" : "Multi-zone lake architectures; Warehouse architectures; ERP systems; CRM systems; HR systems; REST APIs; Finance analytics; Ad-tech platforms; EU data-locality", "domainList" : [ "multi-zone-lake-architectures", "warehouse-architectures", "erp-systems", "crm-systems", "hr-systems", "rest-apis", "finance-analytics", "ad-tech-platforms", "eu-data-locality" ], "domainSpecificKnowledge" : [ "Multi-zone lake architectures", "Warehouse architectures", "ERP systems", "CRM systems", "HR systems", "REST APIs", "Finance analytics", "Ad-tech platforms", "EU data-locality" ], "toolProficiency" : [ "Jira", "Confluence", "Bitbucket", "GitHub" ], "documentationSkills" : "Clear documentation; Clear naming; Clear contracts", "outcomesObjectives" : "Datasets delivered and trusted", "qualificationsBasic" : "5+ years in data/analytics engineering, Experience leading a data engineering team, Proven delivery on Google Cloud, Hands-on experience ingesting from ERP/CRM/HR systems, Hands-on experience ingesting from platform APIs, Product/roadmap chops, Backlog management, Prioritization across stakeholders, Clear Jira/Confluence fluency, Solid Python, Git-based CI/CD", "qualificationsPreferred" : "Background supporting Finance analytics, Exposure to ad-tech platform APIs, Dataflow/Dataproc for heavier workloads, Datastream/CDC for real-time ingestion, GDPR and EU data-locality awareness", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Are you ready to join our digital revolution journey? At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies. Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels. With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. ## What you'll do Lead the team: manage, coach and grow a distributed team of data engineers; run sprint planning and delivery cadence; own hiring and performance. Own the ingestion roadmap: translate source-system and consumer needs into prioritized pipeline deliverables; run intake from source-system owners (SAP, Salesforce, Workday, OneStream, platform APIs). Deliver clean, usable BigQuery datasets: enforce the zone model, consistent naming, partitioning and modeling (OBT, star schema); set data-quality gates at ingestion and data contracts with consumers. Drive engineering practices: own CI/CD, Infrastructure-as-Code standards, and the Architectural Decisions process. Operate the platform: own observability, incident response, the support/SLA model, and GCP cost governance. Manage stakeholders: be the single point of contact for source-system owners and downstream data consumers; honor EU data-locality constraints. ## What we are looking for 5+ years in data/analytics engineering, with experience leading a data engineering team. Proven delivery on Google Cloud: BigQuery, Cloud Storage, Cloud Run, Composer/Airflow, Dataform (or dbt-equivalent). Strong grasp of ELT/ETL design, multi-zone lake/warehouse architectures, dimensional & OBT modeling, and data-quality frameworks. Hands-on experience ingesting from ERP/CRM/HR systems (SAP, Salesforce, Workday) and REST APIs. Product/roadmap chops: backlog management, prioritization across stakeholders, clear requirements; Jira/Confluence fluency. Solid SQL; comfortable reading Python pipelines; Git-based CI/CD (Bitbucket/GitHub). Nice-to-have Background supporting Finance analytics (AP/AR, trial balance, master data, FX). Exposure to ad-tech platform APIs (Meta/TikTok/Google/Spotify). Dataflow/Dataproc for heavier workloads; Datastream/CDC for real-time ingestion. GDPR and EU data-locality awareness. How you work Outcome-oriented — measured by datasets delivered and trusted, not tickets closed. Comfortable as both product voice and technical escalation point. Bias toward clear documentation, naming and contracts over tribal knowledge. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 55,000 EUR. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role. ## Additional Information Why Join Us? Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities. We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together. #ALEPH", "summaryDescription" : "Data Engineering Manager at Aleph. Skills: Data Engineering, Team Leadership, Google Cloud, Data Warehousing. Manage, coach, grow distributed team. Own hiring and performance", "postedDate" : "2026-06-12T09:49:22.228", "createdAt" : "2026-06-12T09:49:22.228", "lastUpdated" : "2026-06-16T04:51:56.588", "ingestTimestamp" : "2026-06-14T21:05:31.606", "mongoId" : "6a2c8fb174d8ee00a097e8e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data modeling", "Data quality", "Pipeline development", "Performance tuning", "Cost management", "Data Engineering", "Team Leadership", "Google Cloud", "Data Warehousing", "ELT/ETL design", "Dimensional modeling", "OBT modeling", "Data quality frameworks", "CI/CD standards", "IaC standards", "Architectural decisions", "Observability", "Incident response", "Cost governance", "Stakeholder management", "Data locality constraints", "Roadmap planning", "Backlog management", "Prioritization", "Multi-zone lake architectures", "Warehouse architectures", "ERP systems", "CRM systems", "HR systems", "REST APIs", "Finance analytics", "Ad-tech platforms", "EU data-locality", "Jira", "Confluence", "Bitbucket", "GitHub" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 829.53424, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd71d74d8ee00a0a40516", "title" : "Data Engineering Manager, Data & ML Platform", "company" : "Hinge Health", "industry" : "RnD", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco-HQ", "locations" : [ "San Francisco-HQ" ], "timestamp" : "2026-06-15T12:28:29.501", "fingerprint" : "b80ae6e8ca094efd1367d1cfeb2eb4d094b5cf89cc1a14e2c68d1c1346dcb8cb", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/hinge-health/eb9bdede-53fc-4a23-8227-9a740434c6ee/application", "externalId" : "eb9bdede-53fc-4a23-8227-9a740434c6ee", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Python, SQL, Spark, Kafka, Flink, AWS", "professionalSkills" : [ "The role requires understanding the data and ML platform, including batch and streaming pipelines, data models, orchestration, and data quality. It also involves understanding analytics, product, and ML use cases, and the specific domain of musculoskeletal (MSK) conditions and healthcare delivery." ], "hardSkillsList" : [ "Data modeling", "Schema evolution", "Data contracts", "Orchestration", "Data quality", "Feature stores", "Model serving", "ML workflows", "Batch systems", "Streaming systems", "HIPAA", "SOC 2" ], "softSkillsList" : [ "Product-minded, Systems thinker, Operationally rigorous, AI-forward, People-first" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Schema evolution", "level" : "intermediate" }, { "name" : "Data contracts", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Feature stores", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" }, { "name" : "Batch systems", "level" : "intermediate" }, { "name" : "Streaming systems", "level" : "intermediate" }, { "name" : "HIPAA", "level" : "intermediate" }, { "name" : "SOC 2", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Product-minded, Systems thinker, Operationally rigorous, AI-forward, People-first" } ], "majorSkills" : "Data Engineering, ML Platform, Streaming-first architecture, Team Leadership", "majorSkillsList" : [ "Data Engineering, ML Platform, Streaming-first architecture, Team Leadership" ], "coreResponsibilities" : "The Data Engineering Manager will lead the Data & ML Platform team, focusing on building and evolving the data backbone for personalized MSK care. This role involves shaping a streaming-first, ML-ready architecture, ensuring reliable data flow across systems, and enabling analytics, experimentation, and machine learning at scale. The manager will also operationalize ML models, drive schema governance, and enhance developer productivity.", "teamCollaboration" : "The manager will partner closely with Data Science, Product, and other engineering teams to align on ML and product use cases, drive schema governance with upstream service teams, and embed ML model operationalization workflows into the broader data ecosystem. Close partnership with Security and Compliance is also expected for operational rigor in regulated environments.", "projectManagementSkills" : [ "SLOs" ], "toolProficiency" : [ "dbt, Databricks, MLflow, Delta Lake, Unity Catalog" ], "communicationSkills" : "Technical writing; Executive presentations", "documentationSkills" : "Runbooks", "continuousLearning" : "The role involves staying current with a modern data stack and evaluating new technologies in the space. The manager is expected to coach their team on using AI tools to move faster while maintaining high engineering standards, indicating a focus on continuous improvement and adoption of new methodologies.", "innovationCreativity" : "The role encourages building foundational architecture decisions and designing platforms that are intuitive, safe, and flexible for customers. The emphasis on a 0→1/1→10 builder suggests a need for innovation in creating new ML platform capabilities and patterns in a scaling environment.", "problemSolvingSkills" : "Root cause analysis; System design", "specialRequirements" : "Experience in regulated environments (HIPAA, SOC 2) with an orientation toward SLOs, observability, and incident management is preferred. The role also emphasizes AI-assisted development workflows and coaching teams on effective, safe AI-native practices.", "outcomesObjectives" : "Key objectives include improving data freshness, consistency, and discoverability, enabling Data Science teams to self-serve ML platform features, reducing data fragmentation, standardizing core data models, and improving reliability for downstream consumers. The role also aims to institutionalize operational rigor and build a high-performing team focused on reliability, scalability, and developer experience.", "qualificationsBasic" : "Requires a Bachelor's degree in Computer Science, Engineering, or related field, with a minimum of 2 years of hands-on data engineering experience building and operating production data pipelines and platforms at scale. Additionally, a minimum of 2 years of experience managing engineering teams and 2+ years of experience building ML platform capabilities in a production environment are necessary. Proficiency with technologies like Kafka, Flink, Spark, Python, SQL, dbt, Databricks, and AWS is expected.", "qualificationsPreferred" : "Preferred qualifications include 5 years of experience managing engineering teams, deep data platform fluency across data modeling, schema evolution, data contracts, pipeline orchestration, and data quality, with ML platform experience as a natural extension. Experience standing up ML platform capabilities in a growth-stage environment, product and business curiosity, background in regulated environments (HIPAA, SOC 2), and experience with the Databricks ecosystem are also preferred. A demonstrated AI-forward mindset and experience incorporating AI tools into engineering workflows are a plus.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "THE OPPORTUNITY Hinge Health is building the data and ML backbone that powers personalized MSK care for millions of members — from real-time product experiences to clinical insights and cost savings for our customers. As a Data Engineering Manager leading our Data & ML Platform team, you’ll sit at the intersection of data engineering, real-time systems, and ML enablement, owning the platforms that make analytics, experimentation, and machine learning reliable at scale. You’ll guide our evolution toward a streaming-first, ML-ready architecture, shaping how data flows consistently across systems and how product and Data Science teams build on top of it — all in service of reducing pain and improving movement for people around the world. This is not a pure infrastructure or ML engineering role. We’re looking for a data platform leader with strong data modeling instincts, product awareness, and enough ML platform experience to bridge both worlds. Our data platform is maturing and our ML platform capabilities are still early — you’ll make foundational architecture decisions, partner with Data Science to operationalize models, and lead both the team and the technical direction as a tech lead manager. Hinge Health operates a hybrid model in San Francisco. We believe that remote work and in-person work have their own advantages and disadvantages, and we want to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program. WHAT YOU’LL ACCOMPLISH In your first 3 months, you will: - Deeply understand our current data and ML platform: batch and streaming pipelines, data models, orchestration, and data quality posture across analytics and production systems. - Build strong partnerships with Data Science, Product, and other engineering teams; align on top ML and product use cases the platform must unlock. - Take ownership of a subset of core pipelines and services, stabilizing reliability and on-call practices while establishing clear SLOs and observability baselines for the team. In your first 6 months, you will: - Lead the evolution of our data platform toward a streaming-first, ML-ready architecture, improving data freshness, consistency, and discoverability across domains. - Design and deliver the first iteration of our ML platform layer — feature pipelines, feature store, and model serving patterns — enabling Data Science teams to self-serve within shared governance and operational standards. - Drive schema governance and data contracts with upstream service teams to reduce fragmentation, standardize core data models, and improve reliability for downstream analytics and ML consumers. - Invest in developer productivity: introduce tooling, templates, CI/CD, and testing practices that make it significantly easier for product and ML teams to build on the platform. In your first 12 months, you will: - Own and evolve the end-to-end data & ML platform strategy, including roadmap, architecture, and operational excellence across streaming, batch, and ML workloads. - Partner with Data Science to operationalize models in production — from feature pipelines to serving, monitoring, and retraining — and embed these workflows into our broader data ecosystem. - Build, mentor, and retain a high-performing data engineering team, creating clarity of ownership, strong execution habits, and a culture that raises the bar on reliability, scalability, and developer experience. - Institutionalize operational rigor (SLOs, incident management, observability, change management) appropriate for a HIPAA/SOC 2–oriented environment, in close partnership with Security and Compliance. WHO YOU ARE - Data platform-first, ML-fluent: Your roots are in data engineering and data platforms, and you’re equally comfortable thinking about data modeling, schema evolution, data contracts, orchestration, and data quality as you are about feature stores, model serving, and ML workflows. - Product-minded systems thinker: You don’t build infrastructure in a vacuum; you seek to understand the analytics, product, and ML use cases you’re enabling and design platforms that are intuitive, safe, and flexible for your customers. - 0→1 / 1→10 builder: You’ve stood up ML platform capabilities in a growth-stage or scaling company where systems were evolving and not fully mature — building patterns, not just operating pre-built infrastructure. - Operationally rigorous: You treat reliability, observability, incident response, and guardrails in regulated environments as first-class product features of the platform. - AI-forward engineering leader: You’re excited about AI-assisted development workflows and can coach your team on using AI tools to move faster while maintaining high engineering standards. - People-first manager: You hire and develop strong technical talent, give clear direction, and create an environment where engineers can do the best work of their careers. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, or related field - A minimum of 2 years of hands-on data engineering experience, building and operating production data pipelines, data platforms, and data infrastructure at scale. - A minimum of 2 years of experience managing engineering teams, with a track record of hiring, developing, and retaining technical talent. - 2+ years of experience building ML platform capabilities (e.g., feature pipelines, feature stores, model serving, or ML workflow infrastructure) in a production environment. - Experience building data platforms across batch and streaming systems, including technologies such as Kafka, Flink, Spark, or equivalent. - Proficiency with a modern data stack such as Python, SQL, Spark, dbt, Databricks, and AWS (or comparable tools), and comfort evaluating new technologies in this space. PREFERRED QUALIFICATIONS - 5 years of experience managing engineering teams, with a track record of hiring, developing, and retaining technical talent - Demonstrated deep data platform fluency across data modeling, schema evolution, data contracts, pipeline orchestration, and data quality — with ML platform work as a natural extension of that foundation. - Experience standing up ML platform capabilities in a growth-stage or scaling environment, taking systems from 0→1 or 1→10, rather than only operating fully mature platforms at very large companies. - Strong product and business curiosity: you quickly learn the domain, understand how analytics and ML drive outcomes, and translate Data Science needs into clear engineering execution. - Background in regulated environments (e.g., HIPAA, SOC 2 or similar), with a strong orientation toward SLOs, observability, and incident management. - Experience with the Databricks ecosystem (Delta Lake, MLflow, Unity Catalog) or similar technologies. - Demonstrated AI-forward mindset, including experience incorporating AI tools into engineering workflows and mentoring teams on effective, safe AI-native practices. ABOUT HINGE HEALTH At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care. As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at www.hingehealth.com http://www.hingehealth.com. WHAT YOU’LL LOVE ABOUT US - Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live. - Planning for the future: Start saving for the future with our traditional or Roth 401(k) retirement plan options which include a 2% company match. - Modern life stipends: Manage your own learning and development with stipends that support modern life and growth. CULTURE & EQUAL OPPORTUNITY Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, please let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy https://www.hingehealth.com/about/personnel-and-candidate-privacy-policy/. Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use \"@hingehealth.com http://hingehealth.com\" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com https://app.ashbyhq.com/admin/organizational-settings/theme#.", "summaryDescription" : "Data Engineering Manager, Data & ML Platform at Hinge Health. Skills: Data Engineering, ML Platform, Streaming-first architecture, Team Leadership. The Data Engineering Manager will lead the Data & ML Platform team, focusing on building and evolving the data backbone for personalized MSK care. This role involves shaping a streaming-first, ML-ready architecture, ensuring reliable data flow across systems, and enabling analytics, experimentation, and machine learning at scale. The manager will als", "createdAt" : "2026-06-14T20:19:43.346", "lastUpdated" : "2026-06-15T12:28:29.501", "ingestTimestamp" : "2026-06-14T20:19:43.346", "mongoId" : "6a2cd71d74d8ee00a0a40516", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data modeling", "Schema evolution", "Data contracts", "Orchestration", "Data quality", "Feature stores", "Model serving", "ML workflows", "Batch systems", "Streaming systems", "HIPAA", "SOC 2", "Product-minded, Systems thinker, Operationally rigorous, AI-forward, People-first", "Data Engineering, ML Platform, Streaming-first architecture, Team Leadership", "The role requires understanding the data and ML platform, including batch and streaming pipelines, data models, orchestration, and data quality. It also involves understanding analytics, product, and ML use cases, and the specific domain of musculoskeletal (MSK) conditions and healthcare delivery.", "SLOs", "dbt, Databricks, MLflow, Delta Lake, Unity Catalog" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 825.2917, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c5fce74d8ee00a08eee14", "title" : "VP, Engineering – HR Technology", "company" : "Future Standard", "industry" : "HR Technology", "salary" : { "min" : 150000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T01:28:00.857", "fingerprint" : "3ff14a775202eac4a2b1b04355107fe9b17258b51ce5c2e3115137b348caa913", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/futurestandard/jobs/8467692002", "externalId" : "8467692002", "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" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "Python, Java, Spring Boot, ReactJS, SQL, NoSQL, Distributed systems, Data modeling, Integration patterns, APIs, Data structures, Algorithms, System design", "professionalSkills" : [ "Technical strategy", "Architectural direction", "Engineering execution", "Workforce analytics", "People operations", "Compensation requirements", "Organizational requirements", "Data governance", "Business priorities", "Compliance", "Workforce planning", "Performance management", "Organizational design", "Data quality", "Data lineage", "Data privacy", "Regulatory compliance", "Internal governance", "Investment requirements", "Operational requirements" ], "hardSkillsList" : [ "Low-Level Design", "High-Level Design", "Secure systems development", "Scalable APIs development", "Non-functional requirements", "Data ingestion", "Data modeling", "Data governance", "Data integration", "Data quality controls", "Data lineage controls", "Data privacy controls", "Software development lifecycle" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Low-Level Design", "level" : "intermediate" }, { "name" : "High-Level Design", "level" : "intermediate" }, { "name" : "Secure systems development", "level" : "intermediate" }, { "name" : "Scalable APIs development", "level" : "intermediate" }, { "name" : "Non-functional requirements", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data quality controls", "level" : "intermediate" }, { "name" : "Data lineage controls", "level" : "intermediate" }, { "name" : "Data privacy controls", "level" : "intermediate" }, { "name" : "Software development lifecycle", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "HR Technology, Platform Engineering, Data Architecture", "majorSkillsList" : [ "HR Technology", "Platform Engineering", "Data Architecture" ], "coreResponsibilities" : "Lead technical strategy, Lead architectural direction, Lead delivery of HR data, Lead delivery of people operations data, Lead delivery of workforce-analytics data, Serve as senior technical partner, Translate workforce requirements, Translate compensation requirements, Translate organizational requirements, Develop secure technical solutions, Develop scalable technical solutions, Guide architecture, Guide implementation, Partner with HR stakeholders, Partner with Technology stakeholders, Ensure employee data is modeled, Ensure employee data is governed, Ensure employee data is delivered, Lead full-stack platforms, Build full-stack platforms, Remain hands-on with code, Own Low-Level Design, Drive Low-Level Design, Own High-Level Design, Drive High-Level Design, Architect secure systems, Develop secure systems, Architect compliant systems, Develop compliant systems, Design scalable APIs, Build scalable APIs, Maintain scalable APIs, Support internal API consumers, Support external API consumers, Drive security requirements, Drive availability requirements, Drive scalability requirements, Drive resiliency requirements, Drive performance requirements, Drive observability requirements, Lead HR engineering initiatives, Lead people-operations engineering initiatives, Lead workforce-analytics engineering initiatives, Ensure secure data ingestion, Ensure data modeling, Ensure data governance, Ensure data integration, Partner with HR teams, Partner with Talent teams, Partner with People Analytics teams, Translate workforce-planning requirements, Translate compensation requirements, Translate performance-management requirements, Translate organizational-design requirements, Implement data-quality controls, Implement data-lineage controls, Implement data-privacy controls, Ensure regulatory compliance, Ensure contractual compliance, Ensure internal governance compliance, Partner with product stakeholders, Partner with data stakeholders, Translate investment requirements, Translate operational requirements, Provide technical leadership, Provide hands-on guidance, Demonstrate understanding of data structures, Demonstrate understanding of algorithms, Demonstrate understanding of system design tradeoffs", "teamCollaboration" : "Partner with HR leadership; Partner with Technology leadership; Partner with HR stakeholders; Partner with Technology stakeholders; Partner with HR teams; Partner with Talent teams; Partner with People Analytics teams; Partner with product stakeholders; Partner with data stakeholders", "domainKnowledge" : "HR Technology; People Operations; Workforce Analytics; Employee data; Compensation structures; Organizational hierarchies; Talent management; HRIS integrations; Data governance; Data privacy; Regulatory standards", "domainList" : [ "hr-technology", "people-operations", "workforce-analytics", "employee-data", "compensation-structures", "organizational-hierarchies", "talent-management", "hris-integrations", "data-governance", "data-privacy", "regulatory-standards" ], "domainSpecificKnowledge" : [ "HR Technology", "People Operations", "Workforce Analytics", "Employee data", "Compensation structures", "Organizational hierarchies", "Talent management", "HRIS integrations", "Data governance", "Data privacy", "Regulatory standards" ], "toolProficiency" : [ "Dayforce", "Culture Amp" ], "communicationSkills" : "Influence senior leaders", "problemSolvingSkills" : "System design tradeoffs", "outcomesObjectives" : "Ensure sensitive data is accurately modeled; Ensure sensitive data is responsibly governed; Ensure sensitive data is reliably delivered", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5-8 years software engineering experience, Hands-on development in enterprise-scale systems, Proficiency in Python or Java, Deep experience with relational databases, Experience with NoSQL stores, Experience with complex query design, Experience working with HR data, Experience with sensitive-data handling, Experience with HRIS integrations, Experience with secure data-exchange patterns, Ability to build employee lifecycle data platforms, Ability to build compensation structures platforms, Ability to build organizational hierarchies platforms, Ability to build talent-management workflows platforms", "qualificationsPreferred" : "Experience with AWS, Experience with Azure, Experience with infrastructure-as-code, Experience with cloud-native services, Experience with Snowflake, Experience with PowerBI, Experience with analytical data platforms, Prior experience supporting HR operations technology, Working knowledge of HR Information Systems, Experience integrating HR data with enterprise analytics, Experience integrating HR data with financial systems, Experience integrating HR data with operational platforms, Stakeholder management skills, Communication skills, Ability to influence senior business leaders", "rawDescription" : "Future Standard is seeking a Vice President, Engineering – HR Technology to lead the technical strategy, architectural direction, and delivery of HR, people operations, and workforce‑analytics data across the firm. This role serves as a senior technical partner to both HR and Technology leadership, bridging business priorities and engineering execution. The ideal candidate is an experienced engineering leader with a strong hands‑on foundation, capable of translating complex workforce, compensation, and organizational requirements into secure, scalable technical solutions. The Vice President will guide architecture and implementation while partnering closely with HR and Technology stakeholders to ensure sensitive employee data is accurately modeled, responsibly governed, and reliably delivered in support of decision‑making, compliance, and long‑term business needs. THE SUCCESSFUL CANDIDATE IS EXPECTED TO: — Lead and build full‑stack, enterprise‑grade platforms using Python, Java, Spring Boot, ReactJS, and SQL/NoSQL databases, while remaining hands‑on with code. — Own and drive Low‑Level Design (LLD) and High‑Level Design (HLD) with deep understanding of distributed systems, data modeling, and integration patterns. — Architect and develop secure, compliant systems. — Design, build, and maintain scalable APIs that support internal and external consumers with high performance and reliability. — Drive non‑functional requirements including security, availability, scalability, resiliency, performance, and observability. — Lead engineering initiatives involving HR, people‑operations, and workforce‑analytics data, ensuring secure ingestion, modeling, governance, and integration of sensitive employee datasets across the firm’s technology ecosystem. — Partner with HR, Talent, and People Analytics teams to translate workforce‑planning, compensation, performance‑management, and organizational‑design requirements into scalable technical solutions and data products. — Implement robust data‑quality, lineage, and privacy controls for HR data, ensuring compliance with regulatory, contractual, and internal governance standards. — Partner with product, data, and HR stakeholders to translate investment and operational requirements into scalable technical solutions. — Provide strong technical leadership and hands‑on guidance across the full software development lifecycle. — Demonstrate an excellent understanding of data structures, algorithms, and system design tradeoffs. QUALIFICATIONS: — Bachelor’s degree in Computer Science, Engineering, or a related field. — 5-8 years of professional software engineering experience. — Proven track record of hands‑on development in enterprise‑scale systems, preferably in HR. — Strong proficiency in at least one core programming language (Python or Java). — Deep experience with relational databases, NoSQL stores, and complex query design. — Comfortable operating in fast‑paced, iterative environments, balancing delivery with long‑term architecture. — Experience working with HR, people‑operations, or workforce‑analytics data, including sensitive‑data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data‑exchange patterns. — Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent‑management workflows. PREFERRED QUALIFICATIONS: — Experience with cloud platforms such as AWS and/or Azure, including infrastructure‑as‑code and cloud‑native services. — Experience with modern data engineering stacks including Snowflake, PowerBI, and analytical data platforms. — Prior experience supporting HR operations technology platforms. — Working knowledge of HR Information Systems platforms. — Experience integrating HR data with enterprise analytics, financial systems, or operational platforms to support firm‑wide reporting, compliance, and workforce insights. — Strong stakeholder management and communication skills, with the ability to influence senior business leaders and align technology delivery with investment, operational, and people‑strategy priorities. Salary Range: Expected base salary range for this role is $150,000 - $185,000/year This range represents base salary only and does not include bonus or other forms of compensation. Actual base salary may vary based upon, but not limited to relevant experience, peer and market data, business sector, and/or geographic location. This role may also be eligible for an annual discretionary incentive compensation award. Future Standard offers a full spectrum of benefits, including Medical, Prescription, Dental, Vision, Health Savings Account, Paid Time Off, Holidays, 401(k), Disability and other Insurance Plans. Future Standard is a global alternative asset manager serving institutional and private wealth clients, investing across private equity, credit, real estate and infrastructure. With a 30+ year track record of value creation and $94 billion in assets under management, we back the business owners and financial sponsors that drive growth and innovation across the middle market, transforming untapped potential into durable value. Total AUM estimated as of March 31, 2026. Future Standard is an Equal Opportunity Employer. Future Standard does not accept unsolicited resumes from recruiters or search firms. Any resume or referral submitted in the absence of a signed agreement is property of Future Standard and no fee will be paid.", "summaryDescription" : "VP, Engineering – HR Technology at Future Standard. Skills: HR Technology, Platform Engineering, Data Architecture. Lead technical strategy. Lead architectural direction", "postedDate" : "2026-06-12T22:19:27.699", "createdAt" : "2026-06-12T22:19:27.699", "lastUpdated" : "2026-06-15T01:28:00.857", "ingestTimestamp" : "2026-06-12T22:19:27.699", "mongoId" : "6a2c5fce74d8ee00a08eee14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Low-Level Design", "High-Level Design", "Secure systems development", "Scalable APIs development", "Non-functional requirements", "Data ingestion", "Data modeling", "Data governance", "Data integration", "Data quality controls", "Data lineage controls", "Data privacy controls", "Software development lifecycle", "Leadership", "HR Technology", "Platform Engineering", "Data Architecture", "Technical strategy", "Architectural direction", "Engineering execution", "Workforce analytics", "People operations", "Compensation requirements", "Organizational requirements", "Business priorities", "Compliance", "Workforce planning", "Performance management", "Organizational design", "Data quality", "Data lineage", "Data privacy", "Regulatory compliance", "Internal governance", "Investment requirements", "Operational requirements", "People Operations", "Workforce Analytics", "Employee data", "Compensation structures", "Organizational hierarchies", "Talent management", "HRIS integrations", "Regulatory standards", "Dayforce", "Culture Amp" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "technology", "dataQualityScore" : 0.8888889, "_score" : 825.23083, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "HR Technology" }, { "id" : "6a2c8b7d74d8ee00a0972f3c", "title" : "Senior Manager, Data Engineering", "company" : "Headway", "industry" : "All Cost Centers", "salary" : { "min" : 212000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York", "locations" : [ "New York", "San Francisco", "Seattle" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T07:14:16.066", "fingerprint" : "cb2daf58b9764dbb8847092c18776f752d6384f7111c09251ef668ca3a419548", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/headway/c2fe7b67-15bc-44fc-b6bf-c57ad648a671/application", "externalId" : "c2fe7b67-15bc-44fc-b6bf-c57ad648a671", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "System design", "Data modeling", "Pipeline observability", "Data quality monitoring" ], "hardSkillsList" : [ "Data engineering", "Data warehousing", "Pipeline architecture", "Transformation layer", "ML models", "Operational tooling" ], "softSkillsList" : [ "Leadership", "Craftsmanship" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Pipeline architecture", "level" : "intermediate" }, { "name" : "Transformation layer", "level" : "intermediate" }, { "name" : "ML models", "level" : "intermediate" }, { "name" : "Operational tooling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Craftsmanship" } ], "majorSkills" : "Data infrastructure, Data platforms, Machine learning, Analytics engineering", "majorSkillsList" : [ "Data infrastructure", "Data platforms", "Machine learning", "Analytics engineering" ], "coreResponsibilities" : "Lead and grow a team, Develop quarterly roadmaps, Align Data Engineering resources, Oversee execution of work, Own architecture and reliability, Define engineering standards, Partner cross-functionally to design infrastructure, Build data infrastructure, Engage with technical challenges, Surface gaps in platform capabilities, Translate data decisions", "teamCollaboration" : "Cross-functional partners; Data Science; Analytics; Product Engineering; Operations", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Mental healthcare; Cloud-native environment", "domainList" : [ "mental-healthcare", "cloud-native-environment" ], "domainSpecificKnowledge" : [ "Mental healthcare", "Cloud-native environment" ], "toolProficiency" : [ "Dbt", "Dbt Cloud" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Training and professional development", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "8+ years of experience in data engineering, 3+ years of experience managing teams, SQL proficiency, Data warehouse design, Pipeline architecture, Transformation frameworks", "qualificationsPreferred" : "Experience building and scaling data platforms in a high-growth, cloud-native environment, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that. But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens. We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. About the Role As Senior Manager, Data Engineering, you will define and lead the technical strategy for Headway's data infrastructure. The team's mission is to build and maintain the reliable, scalable data systems that power analytics, machine learning, and operational decision-making across the company. You will report into Headway's Data organization, a mission-critical pillar that ensures our data assets are accurate, timely, and accessible. Trustworthy data infrastructure is foundational to Headway's growth — enabling every team to build, measure, and improve with confidence. You will partner closely with Data Science, Analytics, Product, and Engineering to deeply understand and anticipate the data needs of a fast-growing healthcare company. You will define the right architectural investments, proactively surface reliability and scalability risks, and use engineering rigor to guide decisions from early design through launch and iteration. You will: - Lead and grow a high-performing team of Data Engineers, fostering a culture of technical excellence, ownership, and craftsmanship. - Develop quarterly roadmaps with cross-functional partners on Data Science, Operations and Engineering, align Data Engineering resources, and oversee execution of timely, high-quality work. - Own the architecture and reliability of Headway's data platform — including our data warehouse, ingestion pipelines, transformation layer (dbt), and orchestration systems. - Define and champion engineering standards: data modeling conventions, pipeline observability, SLA frameworks, and data quality monitoring. - Partner cross-functionally to design and build the data infrastructure that powers analytics, experimentation, ML models, and operational tooling at scale. - Stay close to the work by engaging directly with strategic technical challenges, surfacing gaps in our platform capabilities before they become bottlenecks. - Translate complex data decisions into clear, actionable recommendations for executive stakeholders. You will love this role if: - You have 8+ years of experience in data engineering or related roles - You have 3+ years of experience managing and developing teams - You have experience building and scaling data platforms in a high-growth, cloud-native environment (highly preferred) - You have proven success partnering cross-functionally with Data Science, Analytics, and Product Engineering - You have deep expertise in data warehouse design, pipeline architecture, and transformation frameworks — with the ability to coach others through complex technical trade-offs Compensation and Benefits: The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. - Benefits offered include: - Equity compensation - Medical, Dental, and Vision coverage - HSA / FSA - 401K - Work-from-Home Stipend - Therapy Reimbursement - 16-week parental leave for eligible employees - Carrot Fertility annual reimbursement and membership - 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st - Flexible PTO - Employee Assistance Program (EAP) - Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here. https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com http://findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.", "summaryDescription" : "Senior Manager, Data Engineering at Headway. Skills: Data infrastructure, Data platforms, Machine learning, Analytics engineering. Lead and grow a team. Develop quarterly roadmaps", "createdAt" : "2026-06-14T04:25:55.027", "lastUpdated" : "2026-06-15T07:14:16.066", "ingestTimestamp" : "2026-06-14T04:25:55.027", "mongoId" : "6a2c8b7d74d8ee00a0972f3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 212000, "salaryAnnualMax" : 265000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data engineering", "Data warehousing", "Pipeline architecture", "Transformation layer", "ML models", "Operational tooling", "Leadership", "Craftsmanship", "Data infrastructure", "Data platforms", "Machine learning", "Analytics engineering", "System design", "Data modeling", "Pipeline observability", "Data quality monitoring", "Roadmap development", "Mental healthcare", "Cloud-native environment", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Dbt Cloud" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 822.4265, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f072beec4dd3d9341ab", "title" : "DE Manager, eCS Data Engineering and Analytics Team", "company" : "Amazon", "industry" : "Operations, IT, Support Engineering, Data Engineering, ecp", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in E-Commerce in Bengaluru, India, adjusted for Amazon's company size and industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T04:29:37.784", "fingerprint" : "c84c91fdc9162817a43e0d724b0c29cb696df3086863637aa16dd65c23ebbfbc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381481/apply", "externalId" : "1c45ffe0-0362-487e-9157-ca11efff9b67", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Hadoop, Hive, Spark, EMR, AWS, Redshift, S3, EC2", "professionalSkills" : [ "Data modeling", "Warehousing", "ETL pipelines", "Business intelligence", "Data engineering", "Metrics model", "Metrics reporting", "Analytics tools" ], "hardSkillsList" : [ "Data modeling", "Warehousing", "ETL pipelines", "SQL" ], "softSkillsList" : [ "Leadership", "Analytical", "Customer-focused" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Warehousing", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Analytical" }, { "name" : "Customer-focused" } ], "majorSkills" : "Data engineering, Business intelligence, Analytics", "majorSkillsList" : [ "Data engineering", "Business intelligence", "Analytics" ], "coreResponsibilities" : "Hire a team, Manage a team, Coach a team, Engage with leadership, Understand customer needs, Recommend business intelligence solutions, Build data pipelines, Build analytics tools, Drive design, Drive development, Drive implementation, Provide structured data access, Champion adoption of analytic tools, Champion adoption of reporting environments, Own design, Own development, Own maintenance, Monitor key business decisions, Drive key business decisions", "teamCollaboration" : "Diversified customer groups; Data Engineers; Business Intelligence Engineers; Business Analysts", "domainKnowledge" : "eCommerce systems", "domainList" : [ "ecommerce-systems" ], "domainSpecificKnowledge" : [ "eCommerce systems" ], "problemSolvingSkills" : "Problem-solving abilities; Metrics-driven decision making", "qualificationsBasic" : "5+ years data engineering experience, Data modeling experience, Warehousing experience, Building ETL pipelines experience, SQL experience, Managing a data team experience, Managing a BI team experience, Leading data strategy, Influencing data strategy, Leading BI strategy, Influencing BI strategy, Bachelor's degree", "qualificationsPreferred" : "Big data technologies experience, AWS Tools and Technologies experience, Redshift experience, S3 experience, EC2 experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in diving deep into data, and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch DE Manager. You will lead a team of DE's and BIE’s as part of the Data Engineering and Analytics team in the eCommerce Services org. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. We are looking for an experienced and technically skilled individual to lead a team of Data and Business Intelligence Engineers. The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused engineering leader who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions. Key job responsibilities Hire, manage, and coach a team of Data Engineers, Business Intelligence Engineers and Business Analysts. • Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions. • Strong leadership, vision and passion to build and drive a data engineering and business intelligence team to create changes in business partnerships, analytics, and metrics/reporting. • Drive the design, development and implementation of our analytics to provide stakeholders with structured access to data. • Champion proper adoption of self-service analytic tools and reporting environments. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that monitor and to drive key business decisions. Basic Qualifications: - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Bachelor's degree Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) 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" : "DE Manager, eCS Data Engineering and Analytics Team at Amazon. Skills: Data engineering, Business intelligence, Analytics. Hire a team. Manage a team", "postedDate" : "2026-06-13T14:23:00.860", "createdAt" : "2026-06-13T14:23:00.860", "lastUpdated" : "2026-06-15T04:29:37.784", "ingestTimestamp" : "2026-06-13T14:23:00.860", "mongoId" : "69cf3f072beec4dd3d9341ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381481/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Warehousing", "ETL pipelines", "SQL", "Leadership", "Analytical", "Customer-focused", "Data engineering", "Business intelligence", "Analytics", "Metrics model", "Metrics reporting", "Analytics tools", "eCommerce systems" ], "skillCount" : 14, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 820.97815, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305058f292fd229ceef372", "title" : "Marketing Technology Manager", "company" : "Xero", "industry" : "Marketing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Marketing Technology Manager in Sydney, Australia, adjusted for manager seniority in the SaaS industry." }, "location" : "AU: Sydney (45 Clarence St)", "locations" : [ "AU: Sydney (45 Clarence St)" ], "timestamp" : "2026-06-16T12:29:19.172", "fingerprint" : "1dc12e4ce19d4db399597872d5818cc76438aee1f0e5ff3bdf73b52514e66333", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xero/1ee5049d-248f-488e-9238-b3213e132a78/application", "externalId" : "1ee5049d-248f-488e-9238-b3213e132a78", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Salesforce, Segment, Braze, Google Ads, DBT, Python, SQL, Large Language Model", "professionalSkills" : [ "Technical roadmaps", "Feature prioritization", "ROI decisions", "Data flows", "SaaS integrations" ], "hardSkillsList" : [ "CRM", "AI", "LLM" ], "hardSkills" : [ { "name" : "CRM", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "LLM", "level" : "intermediate" } ], "majorSkills" : "Marketing technology, Salesforce ecosystem, Data pipelines, AI roadmaps", "majorSkillsList" : [ "Marketing technology", "Salesforce ecosystem", "Data pipelines", "AI roadmaps" ], "coreResponsibilities" : "Direct engineering workflows, Build lead architecture, Build routing rules, Expand customer data platform, Deliver complex user journeys, Deliver audiences, Automate data layer, Launch AI initiatives, Unite data pipelines, Unite LLM tooling, Instrument data-sharing pipelines, Improve bidding quality", "teamCollaboration" : "Performance marketing; Data engineering; Sales teams; Data analytics; Engineering pods; Global regions", "projectManagementSkills" : [ "Product requirement documents", "Technical roadmaps", "Feature prioritization" ], "domainKnowledge" : "Marketing technology; Sales operations; Revenue operations; Product management; CRM; AI; LLM; Data pipelines; Conversion APIs; Identifier uploads; Ad platforms", "domainList" : [ "marketing-technology", "sales-operations", "revenue-operations", "product-management", "crm", "ai", "llm", "data-pipelines", "conversion-apis", "identifier-uploads", "ad-platforms" ], "domainSpecificKnowledge" : [ "Marketing technology", "Sales operations", "Revenue operations", "Product management", "CRM", "AI", "LLM", "Data pipelines", "Conversion APIs", "Identifier uploads", "Ad platforms" ], "toolProficiency" : [ "Salesforce", "LeanData", "Segment", "Clay", "Unify", "Tray" ], "communicationSkills" : "Executive presentations", "documentationSkills" : "Product requirement documents", "innovationCreativity" : "Emerging technology exploration", "problemSolvingSkills" : "Solving complex problem sets", "outcomesObjectives" : "Drive measurable ROI; Deliver hyper-personalized marketing; Improve audience targeting; Enhance media performance visibility", "qualificationsBasic" : "Experience in marketing technology, Experience in sales operations, Experience in revenue operations, Experience in product management, Clear understanding of Salesforce, Understanding of Salesforce integration capabilities, Proven ability to manage technical roadmaps, Proven ability to set feature priorities, Proven ability to make high-ROI decisions, Genuine interest in exploring AI, Genuine interest in exploring LLM tools, Exceptional written communication skills, Exceptional verbal communication skills, Natural curiosity for emerging technology", "qualificationsPreferred" : "Experience with Segment, Experience with Braze, Experience with Google Ads, Experience with DBT, Personal projects using Python, Personal projects using SQL", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "The role / impact As a Marketing Technology Manager, you will step into a pivotal role as the internal Product Manager for our marketing technology stack, taking direct ownership of our core data pipelines, Salesforce ecosystem, and conversion event systems. This is a rare opportunity to directly guide a dedicated engineering team, empowering you to shape high-scale CRM and artificial intelligence roadmaps. Your daily work focuses on configuring, delivering, and integrating premium SaaS applications to drive measurable return on investment and deliver hyper-personalised marketing at scale. By partnering with performance marketing, data engineering, and sales teams, you will make high-impact technical choices that improve audience targeting, enhance media performance visibility, and offer clear exposure to executive leadership. The team / how they connect The Marketing Technology team sits under Performance Marketing, operating as a high-velocity internal product and engineering function that owns our global tech stack. The team brings together artificial intelligence workflow development specialists and engineering pods who collaborate seamlessly across regions to build automated campaigns, lead-routing systems, and data-sharing pipelines. You will report directly to the Head of Marketing Technology, working alongside top-performing peers in an environment defined by accountability, shared learning, and a passion for engineering excellence. The team is currently working on / Initially, you will focus on - Directing engineering workflows using comprehensive product requirement documents to build robust lead architecture and routing rules within Salesforce via LeanData. - Expanding our Segment customer data platform, utilizing personas to deliver complex user journeys, audiences, and an automated data layer connected to Clay, Unify, and Tray. - Launching flagship artificial intelligence initiatives, including our sales development representative automation project, by uniting data pipelines and large language model tooling. - Partnering with data analytics to instrument data-sharing pipelines like conversion APIs and identifier uploads to continuously improve bidding quality on third-party ad platforms. Where and how you can work We offer a flexible, collaborative work environment that prioritises digital connection and cross-functional alignment. Our team works effectively across global regions, utilising regular virtual synchronisations and team check-ins to stay aligned on global initiatives without any rigid office attendance mandates. Here are some of the things we are looking for - Your background includes experience in marketing technology, sales operations, revenue operations, or product management, with a clear understanding of Salesforce and its integration capabilities. - You bring a proven ability to manage technical roadmaps, set feature priorities, and make high-ROI decisions that guide engineering teams toward impactful solutions. - Having a strong understanding of data flows, SaaS integrations, and modern tools like Segment, Braze, Google Ads, or DBT will ensure your success. - A genuine interest in exploring and applying artificial intelligence and large language model tools within a marketing or product context drives your work. - Exceptional written and verbal communication skills are part of your toolkit, making you comfortable presenting complex technical concepts to executive leaders. - You possess a natural curiosity for emerging technology, perhaps demonstrated through personal projects using Python or SQL, alongside a passion for solving complex problem sets laterally. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.", "summaryDescription" : "Marketing Technology Manager at Xero. Skills: Marketing technology, Salesforce ecosystem, Data pipelines, AI roadmaps. Direct engineering workflows. Build lead architecture", "createdAt" : "2026-06-16T00:30:01.461", "lastUpdated" : "2026-06-16T12:29:19.172", "ingestTimestamp" : "2026-06-16T00:30:01.461", "mongoId" : "6a305058f292fd229ceef372", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "CRM", "AI", "LLM", "Marketing technology", "Salesforce ecosystem", "Data pipelines", "AI roadmaps", "Technical roadmaps", "Feature prioritization", "ROI decisions", "Data flows", "SaaS integrations", "Product requirement documents", "Sales operations", "Revenue operations", "Product management", "Conversion APIs", "Identifier uploads", "Ad platforms", "Salesforce", "LeanData", "Segment", "Clay", "Unify", "Tray" ], "skillCount" : 25, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 820.6675, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30992bf292fd229c0e7370", "title" : "Clinical Technology Specialist", "company" : "ForTec Medical", "industry" : "Medical Device", "salary" : { "min" : 78000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Technology Specialist in Dallas, United States, adjusted for industry and company size." }, "location" : "Dallas, TX, United States", "locations" : [ "Dallas", "TX", "United States" ], "timestamp" : "2026-06-16T12:32:51.398", "fingerprint" : "8d737b0b8b812d4501a80487ff085e170bddb37d149498a324b737c03d337d58", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ForTecMedical2/744000132284319-clinical-technology-specialist", "externalId" : "744000132284319", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ForTec Medical is an industry leader, dedicated to improving patient health. Our Mission is to improve patient health and healthcare by delivering innovative surgical technologies on demand. ForTec’s commitment to excellence, integrity, and positive culture defines our organization. Join us in shaping the future of healthcare while growing your career in a supportive, mission-focused environment. What We Offer: At ForTec, caring for others starts with caring for our team. That’s why our benefits go beyond the basics: * Paid Time Off: Company paid holidays, a floating holiday, and generous paid time off. * Health & Wellness Support: Medical, dental, vision, short- and long-term disability, life insurance, critical illness insurance, accidental injury insurance, and a Health and Wellness Program. * Future Planning: 401(k) with company match, annual profit-sharing opportunities, and free financial advising resources. * Extras That Matter: Free Teladoc account, employee assistance programs, and uniforms for field team members. Employee referral bonuses, tenure milestone awards, holiday bonuses, and performance-based recognition and reward opportunities. As a Clinical Technology Specialist , you will play a vital role in ensuring the successful use of advanced, innovative surgical technologies. We offer comprehensive training to equip you with the skills and confidence to thrive in your role. Primary Responsibilities: * Set up and operate surgical technologies to provide technical equipment guidance as needed to surgeons and staff before and during surgery * Perform preoperative checklists, sterilization, equipment calibrations, and complete necessary documentation * Load and transport surgical technologies to healthcare facilities. Driving is an everyday responsibility of this role with occasional overnight travel * Practice safe vehicle operations, safe workplace practices, and laser safety techniques * Meet customer needs, provide exceptional customer service, and foster strong, professional relationships with both ForTec team members and healthcare partners ## Qualifications Requirements: * Must be able to work a flexible schedule with early mornings, evening cases, and occasional weekend coverage or overnight travel * Professional demeanor and strong team-oriented mindset * Must be able to meet the credentialing requirements of assigned medical facilities, which include client-required immunizations * Basic computer/smartphone proficiency * High School diploma or equivalent * Must hold a valid U.S. driver’s license with no major violations * Ability to push, pull, and manipulate medical equipment over 50 pounds * Ability to frequently bend, stoop, sit, and stand for long periods of time What You Need to Be Successful : * Ability to work independently * Self-starter with excellent problem-solving abilities * Outstanding communication and customer service skills * Strong organizational skills with a high attention to detail Preferred Background: * If you have prior medical, EMT, Surgical Technologist, or military experience, your background can provide a smooth transition into the clinical technology specialist role. * If you have experience working long days, unpredictable schedules, early mornings, and are eager to learn, we will train you! Join ForTec Medical – make YOUR impact today! ## Additional Information All your information will be kept confidential according to EEO guidelines. The Company is an equal opportunity employer. As such, we provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, citizenship, ethnicity, national origin, age, disability, pregnancy, genetic information, sexual orientation, status as a member of the United States armed forces, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws.", "summaryDescription" : "Clinical Technology Specialist at ForTec Medical", "postedDate" : "2026-06-15T20:54:42.000", "createdAt" : "2026-06-16T03:36:09.001", "lastUpdated" : "2026-06-16T12:32:51.398", "ingestTimestamp" : "2026-06-16T03:36:09.001", "mongoId" : "6a30992bf292fd229c0e7370", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 815.9395, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30739ff292fd229c002f5d", "title" : "Clinical Technology Specialist", "company" : "ForTec Medical", "industry" : "Medical Device", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Technology Specialist in Dallas, United States, adjusted for industry and company size." }, "location" : "Dallas, TX, United States", "locations" : [ "Dallas", "TX", "United States" ], "timestamp" : "2026-06-16T11:55:12.515", "fingerprint" : "80a379d762645571545c8bded5c54bdcaf62addaec06e8357bd064f01403a687", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ForTecMedical2/744000132284319-clinical-technology-specialist", "externalId" : "744000132284319", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ForTec Medical is an industry leader, dedicated to improving patient health. Our Mission is to improve patient health and healthcare by delivering innovative surgical technologies on demand. ForTec’s commitment to excellence, integrity, and positive culture defines our organization. Join us in shaping the future of healthcare while growing your career in a supportive, mission-focused environment. What We Offer: At ForTec, caring for others starts with caring for our team. That’s why our benefits go beyond the basics: * Paid Time Off: Company paid holidays, a floating holiday, and generous paid time off. * Health & Wellness Support: Medical, dental, vision, short- and long-term disability, life insurance, critical illness insurance, accidental injury insurance, and a Health and Wellness Program. * Future Planning: 401(k) with company match, annual profit-sharing opportunities, and free financial advising resources. * Extras That Matter: Free Teladoc account, employee assistance programs, and uniforms for field team members. Employee referral bonuses, tenure milestone awards, holiday bonuses, and performance-based recognition and reward opportunities. As a Clinical Technology Specialist , you will play a vital role in ensuring the successful use of advanced, innovative surgical technologies. We offer comprehensive training to equip you with the skills and confidence to thrive in your role. Primary Responsibilities: * Set up and operate surgical technologies to provide technical equipment guidance as needed to surgeons and staff before and during surgery * Perform preoperative checklists, sterilization, equipment calibrations, and complete necessary documentation * Load and transport surgical technologies to healthcare facilities. Driving is an everyday responsibility of this role with occasional overnight travel * Practice safe vehicle operations, safe workplace practices, and laser safety techniques * Meet customer needs, provide exceptional customer service, and foster strong, professional relationships with both ForTec team members and healthcare partners ## Qualifications Requirements: * Must be able to work a flexible schedule with early mornings, evening cases, and occasional weekend coverage or overnight travel * Professional demeanor and strong team-oriented mindset * Must be able to meet the credentialing requirements of assigned medical facilities, which include client-required immunizations * Basic computer/smartphone proficiency * High School diploma or equivalent * Must hold a valid U.S. driver’s license with no major violations * Ability to push, pull, and manipulate medical equipment over 50 pounds * Ability to frequently bend, stoop, sit, and stand for long periods of time What You Need to Be Successful : * Ability to work independently * Self-starter with excellent problem-solving abilities * Outstanding communication and customer service skills * Strong organizational skills with a high attention to detail Preferred Background: * If you have prior medical, EMT, Surgical Technologist, or military experience, your background can provide a smooth transition into the clinical technology specialist role. * If you have experience working long days, unpredictable schedules, early mornings, and are eager to learn, we will train you! Join ForTec Medical – make YOUR impact today! ## Additional Information All your information will be kept confidential according to EEO guidelines. The Company is an equal opportunity employer. As such, we provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, citizenship, ethnicity, national origin, age, disability, pregnancy, genetic information, sexual orientation, status as a member of the United States armed forces, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws.", "summaryDescription" : "Clinical Technology Specialist at ForTec Medical", "postedDate" : "2026-06-15T20:54:42.000", "createdAt" : "2026-06-16T01:35:56.348", "lastUpdated" : "2026-06-16T11:55:12.515", "ingestTimestamp" : "2026-06-16T01:35:56.348", "mongoId" : "6a30739ff292fd229c002f5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 815.9395, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176e374d8ee00a0c1b38a", "title" : "Principal Technology Manager, Business Data Technologies", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, ecp", "salary" : { "min" : 177000.0, "max" : 239400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:27:51.888", "fingerprint" : "522b329c720bd8497465d048c5e897f7b4c8717208a98a9f9f970c9b2755dc96", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437625/apply", "externalId" : "bd415ea6-05eb-4b5b-beee-5bf5a891458a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AWS, Redshift, Hive, Spark, Oracle", "professionalSkills" : [ "Program Management", "Technical needs translation", "Strategy creation", "Organizational skills", "Attention to detail", "Bias for action", "Influence without authority", "Time management", "See big picture", "Execute flawlessly", "Drive against timelines", "Project roadmaps" ], "hardSkillsList" : [ "Technical product management", "Engineering team management", "Software development", "Program management", "Process building", "Release coordination", "Analytical skills", "Communication abilities", "Partner management", "Relationship building", "Results delivery", "Ambiguous environment execution" ], "hardSkills" : [ { "name" : "Technical product management", "level" : "intermediate" }, { "name" : "Engineering team management", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Process building", "level" : "intermediate" }, { "name" : "Release coordination", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Communication abilities", "level" : "intermediate" }, { "name" : "Partner management", "level" : "intermediate" }, { "name" : "Relationship building", "level" : "intermediate" }, { "name" : "Results delivery", "level" : "intermediate" }, { "name" : "Ambiguous environment execution", "level" : "intermediate" } ], "majorSkills" : "Program Management, Business Data Technologies, Cross-org collaboration", "majorSkillsList" : [ "Program Management", "Business Data Technologies", "Cross-org collaboration" ], "coreResponsibilities" : "Establish mechanism for inspection, Awareness of progress, Creation of communication mechanisms, Document program processes, Maintain program processes, Report on program processes, Identify operational best practices, Manage operational best practices, Support leaders in execution, Identify new areas engagement, Drive innovation through Tech Community, Effective communication with partners, Perform general administrative functions, Schedule meetings, Event management, Marketing", "teamCollaboration" : "Internal team members; Cross cutting initiatives; Broader Consumer SVPs; NA Consumer Tech leaders", "projectManagementSkills" : [ "Program Management", "Release schedules", "Project roadmaps" ], "domainKnowledge" : "Business Data Technologies; eCommerce Foundation; Data sources; Data interfaces; Scalable solutions", "domainList" : [ "business-data-technologies", "ecommerce-foundation", "data-sources", "data-interfaces", "scalable-solutions" ], "domainSpecificKnowledge" : [ "Business Data Technologies", "eCommerce Foundation", "Data sources", "Data interfaces", "Scalable solutions" ], "communicationSkills" : "Verbal communication; Written communication; Effective communication", "documentationSkills" : "Document processes", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Eliminate redundant efforts; Identify patterns; Identify new trends; Identify goals; Identify areas for collaboration; Translate technical needs; Translate pain points", "qualificationsBasic" : "7+ years technical product management, 10+ years engineering teams experience, 5+ years software development, Manage programs cross functional teams, Build processes, Coordinate release schedules, Analytical skills, Effective communication abilities, Manage external partner relationships, Build trusted relationships senior leaders, Deliver results ambiguous environments", "qualificationsPreferred" : "8+ years managing complex projects, Manage projects cross functional teams, Build sustainable processes, Coordinate release schedules, Mentor program managers, Own operational planning, Drive business review mechanisms, Manage organizational goals, MBA or advanced technical degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale. As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect exabytes of data from thousands of data sources inside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, Spark and Oracle. We build scalable solutions that grow with the Amazon business. Are you passionate about Program Management and technology? Are you passionate about eliminating redundant efforts that solve similar customer needs? Here's your chance to lead a highly visible initiative with significant business impact. The senior leaders need a light weight mechanism to help bring visibility, share best practices, and provide better communication and collaboration across teams. This role works closely with Tech Director, VPs and Principal Engineers to identify patterns, new trends, goals and areas for cross-org collaboration. This role is unique in that it does not support just one organization, instead focuses on best practices that can be applicable to several or all within Stores, Devices and Others. In this role, you will be responsible for projects that span across the organization and contribute to our eCF community. The right candidate will have proven Program Management skills and the ability to translate technical needs and pain points, into projects or programs that scale. Additionally, the ideal candidate will have excellent communication skills (verbal and written), ability to work with technical teams across various groups to create strategy for and drive programs. The right candidate will have excellent organizational skills and proven program management experience with meticulous attention to detail and strong bias for action. Most of the project teams you’ll be working directly with are volunteers to the effort so being able to influence without authority will be very important to this role and your success. To be successful in this position, you must be highly motivated, creative and a self-starter with strong time management skills who is able to see the big picture, execute flawlessly, and drive against timelines and project roadmaps. Responsibilities · Work closely with internal team members to establish mechanism for inspection and awareness of progress across cross cutting initiatives such as Engineering Excellence and other. · Creation of communication mechanisms for collaboration across SVPs in the broader Consumer. · Document, maintain and report on program processes · Identify and manage operational best practices with a focus on efficiency and customer satisfaction · Collaborate with and support NA Consumer Tech leaders/members in execution of program initiatives · Identify new areas of engagement and focus and where teams can continue to drive innovation through the Tech Community. · Effective communication with Senior and VP level partners both written and verbal · Perform general administrative functions such as scheduling meetings, event management, and marketing Basic Qualifications: - 7+ years of technical product or program management experience - 10+ years of working directly with engineering teams experience - 5+ years of software development experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience managing complex external partner/vendor relationships where you do not have direct authority over delivery teams - Demonstrated ability to build trusted personal relationships with senior technical leaders (Director/VP level) across organizational boundaries - Track record of delivering results in highly ambiguous environments with complete independence 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 - Experience mentoring and developing other program managers in partner management skills. - Experience owning and driving operational planning (OP) processes and business review mechanisms (MBR/QBR) at the VP+ level - Experience with top level organizational goal management - MBA or advanced technical degree 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, MI, Detroit - 177,000.00 - 239,400.00 USD annually USA, WA, Seattle - 177,000.00 - 239,400.00 USD annually", "summaryDescription" : "Principal Technology Manager, Business Data Technologies at Amazon.com Services LLC. Skills: Program Management, Business Data Technologies, Cross-org collaboration. Establish mechanism for inspection. Awareness of progress", "postedDate" : "2026-06-13T09:13:49.990", "createdAt" : "2026-06-13T09:13:49.990", "lastUpdated" : "2026-06-15T04:27:51.888", "ingestTimestamp" : "2026-06-13T09:13:49.990", "mongoId" : "6a2176e374d8ee00a0c1b38a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437625/apply", "salaryAnnualMin" : 177000, "salaryAnnualMax" : 239400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Technical product management", "Engineering team management", "Software development", "Program management", "Process building", "Release coordination", "Analytical skills", "Communication abilities", "Partner management", "Relationship building", "Results delivery", "Ambiguous environment execution", "Program Management", "Business Data Technologies", "Cross-org collaboration", "Technical needs translation", "Strategy creation", "Organizational skills", "Attention to detail", "Bias for action", "Influence without authority", "Time management", "See big picture", "Execute flawlessly", "Drive against timelines", "Project roadmaps", "Release schedules", "eCommerce Foundation", "Data sources", "Data interfaces", "Scalable solutions" ], "skillCount" : 31, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 815.24164, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "eCommerce" }, { "id" : "69164daa70f0b99d586f344b", "title" : "Manager III, Data Engineering", "company" : "Amazon.com Services LLC", "industry" : "Corporate Operations, Data Engineering, no business category", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dallas, Texas, USA", "locations" : [ "Dallas, Texas, USA" ], "timestamp" : "2026-06-15T01:50:43.460", "fingerprint" : "00c4cfec744fa8999afd33e5abe19ab88e6fc1fbd785ad86c75f9aca96ea949b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3119881/apply", "externalId" : "97e1a66a-73ba-4f2c-8fe4-4e7fc49722cc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "Redshift, Teradata, Netezza, Spark, Hadoop, Oracle, MySQL, Python, Java, Scala, NodeJS", "professionalSkills" : [ "Data strategy", "Data warehousing", "Business intelligence" ], "hardSkillsList" : [ "Data processing", "Data structures", "ETL/ELT" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "ETL/ELT", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, Data strategy, Team management", "majorSkillsList" : [ "Data engineering", "Data strategy", "Team management" ], "coreResponsibilities" : "Lead team of engineers, Solve problems for Finance customers, Serve as team's leader, Serve as principal strategist, Be expert in data warehousing architecture, Manage large data focused team, Set strategic direction, Manage multiple stakeholders, Work with business analysts, Work with engineers, Build data-based solutions, Lead multiple data engineering teams, Own team’s goals, Own team’s outcomes, Mentor other managers, Help team craft career plans", "teamCollaboration" : "Multiple stakeholders; Business analysts; Engineers", "domainKnowledge" : "Enterprise data warehousing", "domainList" : [ "enterprise-data-warehousing" ], "domainSpecificKnowledge" : [ "Enterprise data warehousing" ], "toolProficiency" : [ "Redshift", "Teradata", "Netezza", "Spark", "Hadoop", "Oracle", "MySQL" ], "communicationSkills" : "Senior management communication; Customer communication", "qualificationsBasic" : "Bachelor's degree or foreign equivalent, Seven years of experience, Four years managing engineers, Four years developing data strategy, Four years processing data with massively parallel technology, Four years using relational database technology, Four years developing largescale data structures, Four years communicating with senior management, Four years using modern scripting language", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Manager III, Data Engineering Job Location: Dallas, Texas Job Number: AMZ9826540 Position Responsibilities: Lead a team of engineers solving problems for Finance customers. Serve as the team's leader and principal strategist. Be an expert in the architecture of data warehousing solutions for the Enterprise using multiple platforms. Excel in managing a large data focused team, setting strategic direction, and managing multiple stakeholders. Work with business analysts and engineers to determine how the team can best build data-based solutions. Responsible for leading and managing multiple data engineering teams. Own the team’s goals and outcomes, mentor other managers, and help your team craft their career plans. Position Requirements: Bachelor's degree or foreign equivalent degree in Computer Science, Mathematics, Data Science, Data Analytics or a related field and seven years of experience in the job offered or a related occupation. Must have four years of experience in the following skills: 1) managing a team of engineers and engineering managers in a data or Business Intelligence team; 2) developing and delivering a data strategy that spans multiple teams; 3) processing data with a massively parallel technology such as Redshift, Teradata, Netezza, Spark, or Hadoop based big data solution; 4) using relational database technology such as Redshift, Oracle, MySQL or MS SQL; 5) developing and operating largescale data structures for business intelligence analytics using ETL/ELT processes; 6) communicating with senior management and customers verbally and in writing; and 7) using at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range Salary Range: $170,000/year to $230,000/year. 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, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000 Basic Qualifications: Position Requirements: Bachelor's degree or foreign equivalent degree in Computer Science, Mathematics, Data Science, Data Analytics or a related field and seven years of experience in the job offered or a related occupation. Must have four years of experience in the following skills: 1) managing a team of engineers and engineering managers in a data or Business Intelligence team; 2) developing and delivering a data strategy that spans multiple teams; 3) processing data with a massively parallel technology such as Redshift, Teradata, Netezza, Spark, or Hadoop based big data solution; 4) using relational database technology such as Redshift, Oracle, MySQL or MS SQL; 5) developing and operating largescale data structures for business intelligence analytics using ETL/ELT processes; 6) communicating with senior management and customers verbally and in writing; and 7) using at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS.#000 Preferred Qualifications: Please see job description and the position requirements above. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager III, Data Engineering at Amazon.com Services LLC. Skills: Data engineering, Data strategy, Team management. Lead team of engineers. Solve problems for Finance customers", "postedDate" : "2026-06-13T00:15:11.506", "createdAt" : "2026-06-13T00:15:11.506", "lastUpdated" : "2026-06-15T01:50:43.460", "ingestTimestamp" : "2026-06-13T00:15:11.506", "mongoId" : "69164daa70f0b99d586f344b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3119881/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data processing", "Data structures", "ETL/ELT", "Leadership", "Mentoring", "Data engineering", "Data strategy", "Team management", "Data warehousing", "Business intelligence", "Enterprise data warehousing", "Redshift", "Teradata", "Netezza", "Spark", "Hadoop", "Oracle", "MySQL" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 815.11487, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69ce5df99bc74574cb671a26", "title" : "Assistive Technology Specialist", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 3409.0, "max" : 3752.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "826781", "locations" : [ "826781", "
Austin:9001 N Interstate 35 (320TX-4308)
9001 N Interstate 35 STE 110
Austin, 78753-5279

" ], "certifications" : [ "CRC credentials", "LPC renewals" ], "timestamp" : "2026-06-16T01:41:15.388", "fingerprint" : "b3c6b9e828b7aa717c5cafcc5070f4196581ce387df4c664be4c904aadbe7c6e", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34172", "externalId" : "34172", "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", "professionalSkills" : [ "Case management", "Social services", "Rehabilitative services", "Teaching", "Counseling", "Medical eligibility", "Entitlement", "Budget justification" ], "hardSkillsList" : [ "Assistive technology assessment", "Assistive technology purchase", "Assistive technology delivery", "Vehicle modification", "Home modification", "Durable medical equipment", "Complex rehabilitation technology" ], "hardSkills" : [ { "name" : "Assistive technology assessment", "level" : "intermediate" }, { "name" : "Assistive technology purchase", "level" : "intermediate" }, { "name" : "Assistive technology delivery", "level" : "intermediate" }, { "name" : "Vehicle modification", "level" : "intermediate" }, { "name" : "Home modification", "level" : "intermediate" }, { "name" : "Durable medical equipment", "level" : "intermediate" }, { "name" : "Complex rehabilitation technology", "level" : "intermediate" } ], "majorSkills" : "Assistive Technology, Case Management, Vocational Rehabilitation", "majorSkillsList" : [ "Assistive Technology", "Case Management", "Vocational Rehabilitation" ], "coreResponsibilities" : "Oversee case management services, Review case management services, Facilitate access to medical services, Facilitate access to educational services, Facilitate access to social services, Facilitate access to other services, Provide intervention, Provide frequent contact with individuals, Provide frequent contact with facilities, Provide frequent contact with service providers, Oversee purchasing process for vehicle modification, Oversee purchasing process for home modification, Oversee purchasing process for durable medical equipment, Oversee purchasing process for equipment assessments, Assure policy compliance, Provide training on assistive technology, Provide consultation on assistive technology, Provide technical assistance on assistive technology, Consult with purchasing specialist, Coordinate with purchasing specialist, Conduct program analyses, Conduct program research, Assess service needs, Formulate program plans, Assist in preparation of budget estimates, Assist in justification of budget estimates, Supervise work of others", "teamCollaboration" : "Coordination with VR Supervisors; Coordination with VR Manager", "domainKnowledge" : "Vocational Rehabilitation; Assistive Technology; Disability employment services; Complex rehabilitation technology", "domainList" : [ "vocational-rehabilitation", "assistive-technology", "disability-employment-services", "complex-rehabilitation-technology" ], "domainSpecificKnowledge" : [ "Vocational Rehabilitation", "Assistive Technology", "Disability employment services", "Complex rehabilitation technology" ], "communicationSkills" : "Technical assistance", "continuousLearning" : "Tuition assistance program; FREE CEUs; Reimbursement for renewals", "specialRequirements" : "Occasional statewide travel, Lift and/or carry 10 pounds", "qualificationsBasic" : "Graduation from accredited college or university, Major coursework in human services, social science, or business, Three years and six months of full-time qualifying experience, Texas resident or willing to relocate to Texas", "qualificationsPreferred" : "Twelve semester hours of graduate study, One additional year of full-time qualifying experience, Direct VR Counseling work experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "For Texas to be GREAT, we need the best and brightest talent like you! The public vocational rehabilitation (VR) program administered through the Texas Workforce Commission helps people with disabilities to prepare for, obtain, retain, and advance in employment. MAKE A DIFFERENCE AND HELP PEOPLE WITH VR According to the Department of Labor, the unemployment rate for people with disabilities was 12.6% in 2020. This jobless rate continues to be much higher than the rate for those without disabilities. PUBLIC SERVICE IN VR IS FOR YOU… -If you want to find meaningful work and contribute to a powerful mission. For more than 100 years VR has been helping individuals with disabilities achieve their employment goals! -If you are looking for career and advancement opportunities. 38% of employees in VR have 15+ years of seniority. There are various positions with career ladders and opportunities to specialize in areas of interest: Autism, Blind & Visual Impairments, Deaf & Hard of Hearing, Brain Injury, Foster Youth, Transition Students, Veterans. -If you need a comprehensive benefits package that offers competitive pay & benefits from health plans, life insurance, retirement programs, paid leave and holidays, and longevity pay. -If you have direct VR Counseling work experience, receive higher starting salary. -If you want to advance your education with our tuition assistance program. -FREE CEUs to maintain CRC credentials and reimbursement for CRC & LPC renewals. The mission of the Texas Workforce Commission (TWC) is to promote and support a workforce system that creates value and offers employers, individuals and communities the opportunity to achieve and sustain economic prosperity. To support our mission, we are looking for an Assistive Technology Specialist position to join the Vocational Rehabilitation Department. This position is located at 9001 N IH 35 Austin, Tx. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Benefits to working for TWC include: - Competitive starting salary: $3,409.83 - $3,752.00/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Currently, the state pays 100% of the health plan premium for eligible full-time employees and 50% of the premium for their eligible dependents. Eligible part-time employees get a 50% state contribution for themselves and 25% for their dependents. Employees pay the remainder of the premium by paycheck deduction before taxes are withheld. - Optional Benefits such as dental, vision, and life insurance - 8 hours' sick leave per month - 8 hours' vacation leave per month with potential to earn more with longevity - Employee Assistance Program (EAP) services - Additional benefits for active employees: https://www.ers.texas.gov/Active-Employees/Health-Benefits. The Assistive Technology Specialist (ATS) performs advanced and/or supervisory (senior-level) social service or case management work. Work involves collecting, preparing, and reviewing cases to facilitate access to medical, educational, social, and other services; and providing intervention and frequent contact with individuals, facilities, and service providers. Works under minimal supervision, with considerable latitude for the use of initiative and independent judgment. GENERAL DUTIES: - Oversees and reviews case management services for the assessment, purchase and delivery of assistive technology services to customers in coordination with Administrative and Vocational Rehabilitation (VR) Supervisors, and under the direction of the VR Manager. - Provides expertise and oversees the purchasing process for vehicle modification, home modification, durable medical equipment, and equipment assessments for complex rehabilitation technology customer needs. - Assures policy compliance. - Provides training, consultation and technical assistance to staff, program contractors and program providers related to the proper assessment, purchase, and delivery of assistive technology services to customers in coordination with Administrative and VR Supervisors and under the direction of the VR Manager. - Consults and coordinates with the purchasing specialist to ensure appropriate application of comparable benefits for customer services. - Conducts program analyses and research. - Assesses service needs and formulates program plans. - Assists in the preparation and justification of budget estimates as requested. - May assign and/or supervise the work of others. - Performs related duties as assigned. MINIMUM QUALIFICATIONS: Graduation from an accredited four-year college or university with major coursework in human services, social science, business, or a related field plus three years and six months of full-time qualifying experience in social and rehabilitative services work, teaching and counseling persons with disabilities, social services, medical eligibility, or entitlement programs; Twelve semester hours of graduate study from an accredited college or university may be substituted for each year of the required qualifying experience; One additional year of full-time qualifying experience may be substituted for each year (30 semester hours) of the required college. Duty requires occasional statewide travel, 20% of work time. Out-of-town events may require overnight lodging for up to four consecutive nights. Duty may also require the ability to lift and/or carry 10 pounds of work-related materials. 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: http://www.hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_SocialServices.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Assistive Technology Specialist at Texas Workforce Commission. Skills: Assistive Technology, Case Management, Vocational Rehabilitation. Oversee case management services. 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London, United Kingdom; Edinburgh, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Data Engineering, Analytics Engineering, SQL, Python, AWS, GCP, Databricks", "professionalSkills" : [ "People-First Leadership", "Thought-leadership", "Architectural Decisions", "Data Architectural Decisions" ], "hardSkillsList" : [ "Data Modeling", "Production Data Pipelines", "Data Ingestion", "Data Cataloguing", "Data Storage", "Dimensional Modeling" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data Modeling", "level" : "intermediate" }, { "name" : "Production Data Pipelines", "level" : "intermediate" }, { "name" : "Data Ingestion", "level" : "intermediate" }, { "name" : "Data Cataloguing", "level" : "intermediate" }, { "name" : "Data Storage", "level" : "intermediate" }, { "name" : "Dimensional Modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Platform, Analytics Engineering, Data Leadership", "majorSkillsList" : [ "Data Platform", "Analytics Engineering", "Data Leadership" ], "coreResponsibilities" : "Lead Data Platform teams, Lead Analytics Engineering teams, Scope data engineering projects, Lead data engineering projects, Provide technical support, Drive design of data models, Drive building of data pipelines, Align with data leads, Improve collaboration, Improve ways of working, Take ownership of security, Take ownership of risk, Take ownership of compliance, Take ownership of incidents, Ensure teams improve quality, Ensure teams improve velocity, Collaborate with product management, Prioritise work", "teamCollaboration" : "Data leadership team; Data leads across organisation; Product management", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Energy Intelligence Platform; Energy retailers; Decarbonisation efforts; Data Estate", "domainList" : [ "energy-intelligence-platform", "energy-retailers", "decarbonisation-efforts", "data-estate" ], "domainSpecificKnowledge" : [ "Energy Intelligence Platform", "Energy retailers", "Decarbonisation efforts", "Data Estate" ], "toolProficiency" : [ "GitHub", "Tableau", "Dbt", "Dataform", "Databricks" ], "communicationSkills" : "Stakeholder Management; Technical Stakeholders; Non-technical Stakeholders", "continuousLearning" : "Personal learning budgets; Home office budgets", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Existing right to work", "qualificationsBasic" : "Existing right to work in UK, Experience leading data-oriented teams, Experience designing and building data pipelines, Experience with modern analytics stack, Experience with SQL, Experience with GitHub, Experience with Python, Experience with BI tooling, Experience with AWS, Experience with GCP", "qualificationsPreferred" : "Deep experience with dbt, Deep experience with dataform, Hands-on experience with Databricks, Practical knowledge of Kimball's dimensional modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job title: Engineering Manager (Data Platform & Analytics Engineering) Location: London, Bristol or Edinburgh (Including Hybrid) Salary: £95,000 - £120,000 Reporting to: Head of Data Science & Products This role is based in London, Bristol or Edinburgh and requires existing right to work in the UK. At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship. Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future. Leveraging Data, AI, and real-time decision-making we turn energy complexity into growth opportunities for our partners. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable and affordable. With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen. Where in the world of Kaluza will I be working? You will be joining the Kaluza Data community. Data is the foundation of everything we do as an organisation, and to deliver our vision we need curious, tenacious people who can turn this data, and their knowledge, into insight, strategy and actions. You’ll be working on the Kaluza platform. This is a technology platform that aims to revolutionise the operating platforms for energy retailers globally. This platform is being built with globalisation and regionalisation in mind and is the foundation for decarbonisation efforts by Kaluza’s customers. We are looking to transform to an international ready model to help the business take on new challenges and external customers. More specifically, you will join our Data leadership team, working directly to Kaluza’s Head of Data Science & Product, and will be the lead for the Data Platform team as part of this. The Data Platform team lies at the epicentre of Kaluza’s evolving data & architecture strategy - they build and own the infrastructure, tooling and governance for Kaluza's internal data pipeline, from data ingestion, data cataloguing to data storage and exposing data externally. What will I be doing? As an Engineering Manager, you will be responsible for managing engineers and product analysts who work in our Data Platform team, product or business functions within the wider organisation. You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects, assuming accountability for their execution, and flexing your time as you see necessary. You will introduce thought-leadership on how to deliver excellent analytical and data engineering to the wider practice and contribute to cultivating a positive Kaluza community. It’s an exciting time currently at Kaluza to contribute to our future state architectural decisions with the opportunity to shape our data estate to represent the best analytical engineering practices. Responsibilities: Staff Management: Lead the Data Platform and Analytics Engineering teams. Project Leadership: Scope and lead data engineering projects across the platform, providing technical support where needed. Technical Excellence: Drive the design and building of new data models and production data pipelines. Community & Collaboration: Align with data leads across the organisation to improve collaboration and ways of working. Operational Health: Take ownership of security, risk, compliance, and incidents relating to the Data Platform. Agile Delivery: Ensure teams continuously improve quality and velocity through Agile methodologies and recruitment. Stakeholder Management: Collaborate with product management to prioritise work based on business impact and urgency. About You Ideally you’ll have/be: People-First Leader: You are passionate about developing others and helping people become the best version of themselves, with a strong focus on Diversity, Equity, and Inclusion. Experienced Manager: You are a dedicated leader who enables collective success and has experience leading data-oriented teams of engineers. Technical Expert: You can draw on significant experience in data and analytics engineering to deliver high-quality, actionable data pipelines. Architectural Mindset: You have experience designing and building data pipelines, strategic data architectural decisions, and high-quality \"data mart\" objects across functions like product, finance, or strategy. Pipeline Specialist: You possess extensive experience in engineering robust ETL/ELT processes and data pipelines, with a focus on curating, transforming, and publishing data. Data Governance Focused: You have solid experience in implementing data models, master data management, and data quality rules. Strong Communicator: You have excellent presentation skills and can articulate results clearly to both technical and non-technical senior stakeholders. Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP. What will set you apart: Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform. Platform Specifics: Hands-on experience with Databricks. Modeling Expertise: Practical knowledge of Kimball’s dimensional modeling. Here at Kaluza we have five core values that guide our business: Play to win, Solve the real problem, Build trust every day, Own the outcome, Go further together From us you’ll get Pension Scheme Discretionary Bonus Scheme Private Medical Insurance + Virtual GP Life Assurance Access to Furthr - a Climate Action app Free Mortgage Advice and Eye Tests Perks at Work - access to thousands of retail discounts 5% Flex Fund to spend on the benefits you want most 26 days holiday Flexible bank holidays, giving you an additional 8 days which you can choose to take whenever you like Progressive leave policies with no qualifying service periods, including 26 weeks full pay if you have a new addition to your family Dedicated personal learning and home office budgets Flexible working — we trust you to work in a way that suits your lifestyle And more… Even better? You’ll have access to these benefits from day 1 when you join. We want the best people We’re keen to meet people from all walks of life — our view is that the more inclusive we are, the better our work will be. We want to build teams which represent a variety of experiences, perspectives and skills, and we recognise talent on the basis of merit and potential. We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you. Find out more about working at Kaluza on our careers page and LinkedIn. You can also find our Applicant Data Protection Policy here.", "summaryDescription" : "Engineering Manager (Data Platform & Analytics Engineering) at Kaluza. Skills: Data Platform, Analytics Engineering, Data Leadership. Lead Data Platform teams. 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Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! We are building our People Analytics platform from scratch on a modern data stack (GCP/BigQuery, CData, dbt). We are looking for a Senior Analytics Engineer to lead the architecture, implementation, and ongoing evolution of our new People Analytics data platform. This is a foundational, \"greenfield\" role: you will be responsible for defining the blueprint of how we ingest, store, and transform HR data from systems like SuccessFactors and Greenhouse into meaningful insights. You are not just building pipelines; you are architecting a high-performance AI-ready data product that will enable our People team to make data-driven decisions on a scale. What You Will Do: • Infrastructure comfortable with complex window functions and performance optimization. • dbt: Strong, demonstrated experience building and testing dbt projects (Jinja, macros, modular modeling). • GCP/BigQuery: Hands-on experience managing BigQuery project structure, dataset governance, partitioning/clustering, and IAM/security policies. Domain Fluency: Ability to translate complex HR business requirements (e.g., Attrition, Headcount, Diversity, Time-to-Fill) into reusable dimensional data models. Why Join Us? • Full Architectural Autonomy: You are the \"architect\" of our data platform. You will make the foundational decisions on schema design, security, and tooling, avoiding the constraints of legacy environments. • Modern \"Gold-Standard\" Stack: Work with a premium, future-proof stack (GCP, BigQuery, CData, dbt) that is highly sought after by top-tier data engineers. • High-Impact Strategic Role: You will be at the intersection of Data and HR, building the platform that helps our leadership understand our most important asset: our people. Your work directly influences how we hire, retain, and develop talent. • AI/ML Path: We aren't just building dashboards; we are building an AI-ready foundation. You will play a pivotal role in transitioning our platform from descriptive reporting to predictive modeling, setting a high bar for our technical evolution. • Culture of Excellence: We value clean code, automated testing, and rigorous documentation. You will work in an environment where technical debt is avoided, not accepted. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Senior Data Engineer - People Technology at SolarWinds. Skills: Data engineering, Analytics engineering, Data warehousing, AI-ready foundation. Architect data platform. 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We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture. At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us. **About the location:** A contemporary business hub with the highest standards of innovative hospitality. At the heart of Silicon Valley, experience a first-hand connection to the region’s tech legacy, sports and music venues and discover local adventures blended with artful sophistication. Four Seasons Hotel Silicon Valley brings an inventive approach to creative events, seasonal pop-up experiences, lifestyle facilities and culinary craftsmanship that culminate in the ultimate urban getaway. Four Seasons Hotel Silicon Valley is proud to provide our guest the highest standards of luxury and personalized service. At Four Seasons we believe in recognizing a familiar face, welcoming a new one and treating every one we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us, discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us. _The Role_ We are currently recruiting for a Technology Innovation Data (IT) Specialist. This is a non-management, hourly position. A Technology Innovation Data (IT) Specialist is responsible for the efficient operation and maintenance of all computer systems, data and voice communications activities at property. _Preferred Qualifications_ Seeking an individual with the right attitude, dependable, willingness to learn and great customer service skills. Other highly desirable qualifications (however not required): * Technical background, MCSE or strong networking skills. * Prior education and/or experience supporting complex networks. * 1 years’ experience in hotel IT. * Ability to problem-solve and trouble-shoot issues as they arise. * Ability to provide system support services, including service outage diagnosis, troubleshooting and restoration of service, virus protection management. * Knowledgeable of Desktop OS and applications including patches. * Ability to assist with at network support and security of Hotel network, Active Directory maintenance, Server Infrastructure maintenance, Network Infrastructure maintenance – wired & wireless, Network protection and failover tools implementation (Firewall, web security, multi-homing devices, etc). * Perform all other tasks or projects as assigned by hotel management. * Flexible schedule required to include weekends and holidays * All applicants must have the proper legal documents to work in the United States. _What to Expect:_ * Competitive Wage * Wage - $31.00/hour * Be part of a cohesive team with opportunities to build a successful career with global potential * Medical, dental, and vision insurance * Holiday, vacation, and sick pay * 401k participation with a company matching program * Complimentary stays at Four Seasons worldwide (subject to availability) * Free employee meals prepared by the culinary team * Complimentary dry cleaning of employee uniforms * Free employee parking Four Seasons is an Equal Opportunity, Affirmative Action employer. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of Electrical Engineering Team Manager, we'll count on you to: Assist in the responsibility for operations of production section including staff development, profitability, morale, quality control and marketing support May function as an Assistant Project Manager and assist in responsibility for production on projects in addition to management responsibilities Assist with administrative responsibility for section staff and technical service functions, and lead and coordinate services with other sections Be involved in marketing planning, proposals and interviews Be directly involved with industrial and public clients in marketing, project production and related issues Assist in ensuring that all work is planned, organized, controlled and evaluated through proactive project management system Implement, monitor and support company policy Assist in the selection, training, development and management of technical personnel Work cooperatively with National Directors and marketing staff in local and national marketing and production efforts Perform other duties as needed Preferred Qualifications Experienced in electrical power systems design including: Power distribution Lighting/Grounding plans Power plans Instrument plans Short circuit studies Power studies Motor elementaries Single line development and protection schemes Electrical equipment specifications Heavy industrial systems Hazardous location assessments Project management 11 years of related experience preferred Local candidates preferred", "summaryDescription" : "Electrical Engineering Team Manager at HDR. 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34 - Sudbury Regional Office (34 - Sudbury Regional Office)
1-2231 Long Lake Road
Sudbury, P3E 5H3

" ], "certifications" : [ "ITIL foundation" ], "timestamp" : "2026-06-15T09:19:27.413", "fingerprint" : "c4af811fc91a04820731c20125887d13676793c83bcdc10aed879a93a9044bf5", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57002", "externalId" : "57002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sudbury", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "46.4927200,-80.9912110" } ], "locationText" : "Sudbury, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "ITSM platforms, ITSM tools", "professionalSkills" : [ "Service delivery", "Operational excellence", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Automation", "Efficiency", "Performance reporting", "Customer care", "Training", "Enablement" ], "hardSkillsList" : [ "Service Level Management", "Change Management", "Release Management", "Incident Management", "Problem Management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Service Level Management", "level" : "intermediate" }, { "name" : "Change Management", "level" : "intermediate" }, { "name" : "Release Management", "level" : "intermediate" }, { "name" : "Incident Management", "level" : "intermediate" }, { "name" : "Problem Management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Technology Service Management, ITSM processes, ITIL frameworks", "majorSkillsList" : [ "Technology Service Management", "ITSM processes", "ITIL frameworks" ], "coreResponsibilities" : "Champion technology-enabled service delivery, Champion operational excellence, Architect technology service management processes, Implement technology service management processes, Optimize technology service management processes, Lead ITSM process design, Lead ITSM process implementation, Lead ITSM process enhancement, Drive automation, Drive efficiency, Drive measurable outcomes, Champion adoption of ITSM tools, Develop process documentation, Maintain process documentation, Develop workflows, Maintain workflows, Develop SOPs, Maintain SOPs, Oversee Incident Management, Oversee Problem Management, Oversee Change Management, Oversee Service Level Management, Resolve IT issues, Minimize disruptions, Foster continuous improvement, Collaborate with technical teams, Collaborate with cross-functional partners, Resolve incidents, Implement lasting solutions, Manage Change Management processes, Manage Release Management processes, Support IT service deployment, Define Service Level Agreements, Monitor Service Level Agreements, Provide performance reports, Act as trusted advisor, Act as primary contact, Embody customer care culture, Deliver training sessions, Deliver enablement sessions, Curate knowledge articles, Promote self-service culture, Promote continuous learning", "teamCollaboration" : "Technical teams; Cross-functional partners", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ITIL; ITSM", "domainList" : [ "itil", "itsm" ], "domainSpecificKnowledge" : [ "ITIL", "ITSM" ], "toolProficiency" : [ "SolarWinds", "ServiceNow" ], "communicationSkills" : "English communication", "documentationSkills" : "Process documentation; Workflows; SOPs; Knowledge articles", "continuousLearning" : "Continuous learning", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "College or bachelor’s degree, 4–6 years of experience in IT Service Management, Hands-on expertise with ITSM tools, Deep understanding of ITIL processes, Analytical and problem-solving skills, Project management experience, Ability to manage multiple initiatives", "qualificationsPreferred" : "ITIL foundation or higher certification", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We are hiring a Specialist, Technology Service Management to champion technology-enabled service delivery and operational excellence across our organization. This role is pivotal in architecting, implementing, and continuously optimizing technology service management processes and frameworks, leveraging industry-leading practices and advanced ITSM platforms. In this role, you will lead the design, implementation, and ongoing enhancement of ITSM processes, driving automation, efficiency, and measurable outcomes while championing the adoption of advanced ITSM tools such as SolarWinds and ServiceNow. You will develop and maintain robust process documentation, workflows, and SOPs in alignment with ITIL and organizational standards, oversee Incident, Problem, Change, and Service Level Management to resolve IT issues promptly, minimize disruptions, and foster continuous improvement. Collaboration with technical teams and cross-functional partners will be key as you work to resolve incidents and implement lasting solutions. You will manage Change and Release Management processes to support smooth deployment of IT services, define and monitor Service Level Agreements, and provide regular performance reports to stakeholders. As a trusted advisor and primary contact for IT service management, you will embody a culture of customer care, deliver engaging training and enablement sessions, and curate knowledge articles to promote a self-service culture and continuous learning. To be successful in this role, you will bring a college or bachelor’s degree in computer science or a related field, ideally complemented by ITIL foundation or higher certification, and possess 4–6 years of experience in IT Service Management or a related IT operations role. You will have hands-on expertise with ITSM tools and a deep understanding of ITIL processes and frameworks, along with strong analytical and problem-solving skills to assess service performance and drive improvements. Project management experience and the ability to manage multiple initiatives simultaneously are essential. You will demonstrate strong leadership abilities to guide teams through service improvement initiatives, and exemplary English communication skills to support both business and technology discussions. We are committed to building a diverse and inclusive workplace and encourage candidates of all backgrounds to apply. If you are ready to make a meaningful impact and grow your career in a collaborative and forward-thinking environment, we look forward to hearing from you. We offer an attractive total rewards package that includes a competitive salary and bonus, extended health, dental and insurance benefit coverage, a health spending account, fitness & wellness subsidy, employee & family assistance program, registered pension plan with company match, employee share purchase plan with company match, TFSA & RRSP, electric vehicle subsidy, summer hours and holiday office closure. We understand no candidate meets every qualification listed. If your experience differs but you believe you can add value to the role, we want to hear from you! We are committed to inclusivity and welcome applications from individuals of all abilities. If you need accommodation during the application process, please contact us, and we'll provide the necessary support. Canada", "summaryDescription" : "Specialist, Technology Service Management. Skills: Technology Service Management, ITSM processes, ITIL frameworks. Champion technology-enabled service delivery. Champion operational excellence", "createdAt" : "2026-06-14T04:38:40.541", "lastUpdated" : "2026-06-15T09:19:27.413", "ingestTimestamp" : "2026-06-14T04:38:40.541", "mongoId" : "694ae6e370f0b99d589b3726", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Service Level Management", "Change Management", "Release Management", "Incident Management", "Problem Management", "Leadership", "Technology Service Management", "ITSM processes", "ITIL frameworks", "Service delivery", "Operational excellence", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Automation", "Efficiency", "Performance reporting", "Customer care", "Training", "Enablement", "Project management", "ITIL", "ITSM", "ITIL foundation", "SolarWinds", "ServiceNow" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 786.09955, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5ed674d8ee00a08e73ad", "title" : "Engineering Manager, Data Activation", "company" : "Mixpanel", "industry" : "Technology", "salary" : { "min" : 215000.0, "max" : 310000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Data Activation Engineering Manager in San Francisco, United States, adjusted for technology industry and company size." }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-14T19:02:35.242", "fingerprint" : "aa55b6e9bf9a49ee675294318b823499755661a64a2a6466d57127ade0fd5495", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mixpanel/jobs/7941918", "externalId" : "7941918", "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", "experienceLevel" : "Manager", "technicalSkills" : "AI, Data Pipelines, Event Streaming, APIs", "professionalSkills" : [ "Technical tradeoffs", "Leadership through influence", "Navigating ambiguity", "Making tradeoffs", "Bringing clarity" ], "hardSkillsList" : [ "Distributed systems", "Backend engineering" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Backend engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Activation, AI-first product, Infrastructure", "majorSkillsList" : [ "Data Activation", "AI-first product", "Infrastructure" ], "coreResponsibilities" : "Lead engineering team, Grow team scope, Build exceptional team, Hire well, Coach deeply, Create culture of ownership, Create culture of pride, Shape direction, Turn big ideas into execution, Help teams move fast, Protect the system, Empower tech leads", "teamCollaboration" : "Engineering, product, design working side by side; Cross-functional teams; Direct access to customer feedback; Direct access to product data; Direct access to business metrics; Direct access to design context", "domainKnowledge" : "High-scale distributed systems; Backend engineering; Data infrastructure; AI-driven future", "domainList" : [ "high-scale-distributed-systems", "backend-engineering", "data-infrastructure", "ai-driven-future" ], "domainSpecificKnowledge" : [ "High-scale distributed systems", "Backend engineering", "Data infrastructure", "AI-driven future" ], "toolProficiency" : [ "Slack", "GitHub", "Mixpanel", "Notion", "Figma", "Zoom" ], "documentationSkills" : "Written thinking", "innovationCreativity" : "Product innovation", "problemSolvingSkills" : "Reason from first principles; Challenge assumptions; Simple solutions to complex problems", "outcomesObjectives" : "Accelerate adoption; Improve retention; Ship with confidence; Turn insights into action; Power personalization; Power lifecycle marketing; Power ad targeting; Power AI agents", "qualificationsBasic" : "10+ years engineering, 4+ years leading engineering teams, Experience building infrastructure, Experience building AI-powered products, Proven collaboration with product managers, Proven collaboration with designers, High level of ownership, High level of accountability, High level of product intuition", "qualificationsPreferred" : "Director candidates must have experience managing managers", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more. About the Team Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process. Product innovation drives our business, and product engineering teams own that responsibility. The Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product. It comprises of four teams, Data Foundation, Query Engine, Data Storage and Data Activation. The Data Activation team owns how data moves out of Mixpanel and into the rest of a customer's stack. We build Cohort Syncs to marketing and ad platforms, Data Pipelines to warehouses, and Real-Time Event Streaming that lets customers act on behavioral signals the moment they happen. Our mission is to help customers turn insights into action, the behavioral data in Mixpanel is only as valuable as what teams can do with it, and we make it power personalization, lifecycle marketing, ad targeting, and increasingly, AI agents. In doing so, we're transforming Mixpanel from an analytics tool into critical data infrastructure that customers' products, campaigns, and workflows depend on every day. Together, these teams are driving foundational initiatives like elastic query compute, distributed file caching, real-time data streaming, and AI-ready APIs that will underpin the next generation of the product. Collectively, they combine deep expertise in high-scale distributed systems and backend engineering to ensure Mixpanel's infrastructure is reliable, performant, and a core part of the broader data ecosystem ready for the demands of an AI-driven future. About the Role We are looking for an Engineering Manager. Teams operate as autonomous pods, with engineering, product, and design working side by side on clear strategic goals. Teams have direct access to customer feedback, product usage data, business metrics, and design context. We start with customer problems. We reason from first principles. We challenge assumptions. We aim for simple solutions to complex problems and avoid unnecessary abstraction. Engineering owns execution, quality, and operations. There are no project managers, QA teams, or separate SREs. Ownership stays with the people building the product. We value written thinking, dashboards, and demos over slide decks. We work openly using tools like Slack, GitHub, Mixpanel, Notion, Figma, and Zoom. Our team is distributed across North America, with strong clusters in the San Francisco Bay Area, Seattle, and Austin. Responsibilities Lead and build AI-first product experiences from inception to global scale. Lead an engineering team and grow its scope over time. This role is for someone who loves developing people and unlocking their potential. Build an exceptional team by hiring well, coaching deeply, and creating a culture where engineers feel ownership and pride in what they ship. Shape direction alongside Product, turning big ideas into focused execution and helping teams move fast without losing quality. Set the technical bar and protect the system. Depending on level, this may mean hands-on technical leadership or empowering tech leads with clarity and trust. Requirements 10+ years engineering experience; 4+ years leading engineering teams Experience building and running infrastructure supporting real-world, customer-facing web applications. Experience building and using AI-powered products in production environments. Proven collaboration with product managers and designers on meaningful infrastructure. Strong judgment in technical tradeoffs, backed by lessons learned. Evidence of leadership through influence, alignment, and growing others. Director candidates must have experience managing managers. Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures High level of ownership, accountability, and product intuition Additional Resources Engineering Life Page Engineering Blog Compensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here. Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information. Mixpanel Compensation Range $279,000—$377,000 USD Benefits and Perks Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break *please note that benefits and perks for contract positions will vary* Culture Values Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. Why choose Mixpanel? We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.", "summaryDescription" : "Engineering Manager, Data Activation at Mixpanel. Skills: Data Activation, AI-first product, Infrastructure. Lead engineering team. Grow team scope", "postedDate" : "2026-06-12T22:20:28.407", "createdAt" : "2026-06-12T22:20:28.407", "lastUpdated" : "2026-06-14T19:02:35.242", "ingestTimestamp" : "2026-06-12T22:20:28.407", "mongoId" : "6a2c5ed674d8ee00a08e73ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 310000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Backend engineering", "Leadership", "Mentoring", "Data Activation", "AI-first product", "Infrastructure", "Technical tradeoffs", "Leadership through influence", "Navigating ambiguity", "Making tradeoffs", "Bringing clarity", "High-scale distributed systems", "Data infrastructure", "AI-driven future", "Slack", "GitHub", "Mixpanel", "Notion", "Figma", "Zoom" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 785.74664, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "696082060937eae70e9c77d7", "title" : "Instructional Technology Specialist", "industry" : "Education", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Instructional Technology Specialist in India, adjusted for mid-seniority and education industry." }, "location" : "Isely Traditional Magnet", "locations" : [ "Isely Traditional Magnet", "5256 N. Woodlawn", "67220" ], "certifications" : [ "Teaching license" ], "timestamp" : "2026-06-16T03:56:34.789", "fingerprint" : "0dcf9eb03bdc670033da41c275bcb046782c8c312422df9580f6ea6207f8d184", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=88598", "externalId" : "88598", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "onsite" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Software troubleshooting, Network administration, Operating systems, Hardware troubleshooting, Software diagnostics", "professionalSkills" : [ "Time management", "Technical knowledge sharing", "System compliance" ], "hardSkillsList" : [ "Data virus updates", "Scanning", "Troubleshooting skills", "Network topology", "Coaching", "Co-teaching", "Co-planning", "Installing software", "Configuring software", "Basic network administration", "Desktop troubleshooting", "Network troubleshooting", "Software troubleshooting", "Hardware diagnostics", "Software diagnostics" ], "softSkillsList" : [ "People skills", "Communication skills", "Willingness to learn", "Ability to research", "Ability to evaluate", "Well organized", "Ability to collaborate", "Confidentiality", "Tact", "Diplomacy", "Maintain positive attitude" ], "hardSkills" : [ { "name" : "Data virus updates", "level" : "intermediate" }, { "name" : "Scanning", "level" : "intermediate" }, { "name" : "Troubleshooting skills", "level" : "intermediate" }, { "name" : "Network topology", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" }, { "name" : "Co-teaching", "level" : "intermediate" }, { "name" : "Co-planning", "level" : "intermediate" }, { "name" : "Installing software", "level" : "intermediate" }, { "name" : "Configuring software", "level" : "intermediate" }, { "name" : "Basic network administration", "level" : "intermediate" }, { "name" : "Desktop troubleshooting", "level" : "intermediate" }, { "name" : "Network troubleshooting", "level" : "intermediate" }, { "name" : "Software troubleshooting", "level" : "intermediate" }, { "name" : "Hardware diagnostics", "level" : "intermediate" }, { "name" : "Software diagnostics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "People skills" }, { "name" : "Communication skills" }, { "name" : "Willingness to learn" }, { "name" : "Ability to research" }, { "name" : "Ability to evaluate" }, { "name" : "Well organized" }, { "name" : "Ability to collaborate" }, { "name" : "Confidentiality" }, { "name" : "Tact" }, { "name" : "Diplomacy" }, { "name" : "Maintain positive attitude" } ], "coreResponsibilities" : "Ensure technology impacts student achievement, Model effective technology use, Provide level one technical support, Provide staff/student training, Attend professional development, Attend technology meetings, Serve as resource for purchasing technology, Provide building leadership for technology usage, Serve as resource for troubleshooting technology systems, Support teachers through coaching, Support teachers through co-teaching, Support teachers through co-planning, Integrate technology into instruction, Integrate technology into project based learning, Collaborate with district coaches, Collaborate with district specialists, Assist with additional duties", "teamCollaboration" : "Work with various organizations; Collaborate with district coaches; Collaborate with district specialists; Work with diverse population", "domainKnowledge" : "Instructional technology; Student achievement; Network topology; District technology initiatives", "domainList" : [ "instructional-technology", "student-achievement", "network-topology", "district-technology-initiatives" ], "domainSpecificKnowledge" : [ "Instructional technology", "Student achievement", "Network topology", "District technology initiatives" ], "toolProficiency" : [ "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "communicationSkills" : "People skills; Communication skills", "continuousLearning" : "Attend professional development; Willingness to learn about technology", "problemSolvingSkills" : "Basic troubleshooting skills; Troubleshooting technology systems issues; Hardware troubleshooting; Software troubleshooting; Basic hardware troubleshooting; Basic software troubleshooting; Basic diagnostics", "specialRequirements" : "Limited travel between schools, Regular attendance is essential, Comply with USD 259's guidelines", "outcomesObjectives" : "Raise student achievement", "qualificationsBasic" : "Bachelor's degree required, Teaching license required, 5 years classroom teaching experience required", "qualificationsPreferred" : "Master's degree preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Instructional Technology Specialist Position Function: Ensures technology positively impacts student achievement through curriculum integration and staff development. Models effective, efficient, legal and ethical use of technology throughout the building. Provides level one technical support for staff/students. Essential Performance Responsibilities: Provides on-going staff/student training opportunities with instructional uses of technology; data backup; virus updates and scanning on workstations; how to use the network drives and directories and basic troubleshooting skills Attends professional development to stay current with technology and attend monthly technology meetings Servers as a resource for staff and administration for purchasing of technology to raise student achievement Provides building leadership to staff and administration for usage of various instructional technologies to raise student achievement Serves as a resource for troubleshooting technology systems issues (hardware, network, software) by understanding of site network topology and to work with Macintosh and PC computers Provides support to teachers through coaching, co-teaching and co-planning with meaningful integration of technology into classroom instruction and project based learning activities Collaborates with district coaches and specialists on projects and delivery of professional development 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: Regular attendance is essential Demonstrates initiative working independently and with groups Knowledge, Skills, and Abilities: Strong people and communication skills Willingness to learn about technology and an aptitude to support technology which may include Installing and configuring software Basic network administration Basic understanding of desktop and network operating systems Basic hardware and software troubleshooting and diagnostics Ability to research, evaluate and make recommendations ensuring that building implementations of software and hardware systems comply with district technology initiatives and directives Well organized with good time management skills Ability and willingness to share technical knowledge and train all levels of users Ability to work with various organizations within the district (MIS, Instructional Technology, SSC) Ability to perform a variety of tasks, collaborate, meet deadlines, and work in a calm and efficient manner 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: Bachelor's degree required Teaching license and a minimum of 5 years classroom teaching experience Master's degree preferred FLSA Status: Exempt", "summaryDescription" : "Instructional Technology Specialist. Ensure technology impacts student achievement. Model effective technology use", "createdAt" : "2026-06-14T18:49:03.818", "lastUpdated" : "2026-06-16T03:56:34.789", "ingestTimestamp" : "2026-06-14T18:49:03.818", "mongoId" : "696082060937eae70e9c77d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data virus updates", "Scanning", "Troubleshooting skills", "Network topology", "Coaching", "Co-teaching", "Co-planning", "Installing software", "Configuring software", "Basic network administration", "Desktop troubleshooting", "Network troubleshooting", "Software troubleshooting", "Hardware diagnostics", "Software diagnostics", "People skills", "Communication skills", "Willingness to learn", "Ability to research", "Ability to evaluate", "Well organized", "Ability to collaborate", "Confidentiality", "Tact", "Diplomacy", "Maintain positive attitude", "Time management", "Technical knowledge sharing", "System compliance", "Instructional technology", "Student achievement", "District technology initiatives", "Teaching license", "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "skillCount" : 39, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 782.227, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cf90174d8ee00a0a98c2b", "title" : "Corporate Security Technology & Data Engineer (Contract)", "company" : "OpenAI", "industry" : "Technical", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Corporate Security Technology & Data Engineer in the US Technology industry, adjusted for company size and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:46:26.805", "fingerprint" : "7a3a2690a3ecb2125c57da90248c6b51b68e88be370db0ad003e2ce0c1066282", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/greenlight-workforce-solutions/0c7a7a83-8f0f-4435-91d6-e24711c5dbb6/application", "externalId" : "0c7a7a83-8f0f-4435-91d6-e24711c5dbb6", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Data engineering, Analytics engineering, Software engineering, Solutions architecture, Business systems, APIs, Data pipelines, Databases, Scripts, Automation tools, SQL, Python, JavaScript", "professionalSkills" : [ "Risk management", "Operational analytics", "Data strategy", "Technical requirements", "Data modeling", "Scalable reporting" ], "hardSkillsList" : [ "Data quality", "Data consistency", "Data reliability", "Data governance", "Access control", "Privacy", "Risk assessment" ], "softSkillsList" : [ "Self-directed" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data consistency", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Access control", "level" : "intermediate" }, { "name" : "Privacy", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed" } ], "majorSkills" : "Data engineering, Security technology, AI automation, Dashboarding", "majorSkillsList" : [ "Data engineering", "Security technology", "AI automation", "Dashboarding" ], "coreResponsibilities" : "Partner with teams, Understand workflows, Understand data sources, Understand reporting needs, Understand automation goals, Build dashboards, Build metrics, Provide visibility, Use AI tools, Build internal tools, Build workflows, Create technical vision, Connect team projects, Assess data sources, Assess workflows, Identify gaps, Improve data quality, Improve data consistency, Improve data reliability, Design data pipelines, Design reporting structures, Build prototypes, Test with users, Iterate toward solutions, Establish data standards, Establish governance practices, Establish repeatable patterns, Translate business needs, Create technical requirements, Create practical solutions, Serve as technical partner, Advise on dashboards, Advise on automation, Advise on AI workflows, Advise on data strategy", "teamCollaboration" : "Partner with non-technical stakeholders; Work across stakeholders", "domainKnowledge" : "Corporate security; Executive protection; Protective intelligence; GSOC; Event security; Investigations; Risk management; Resilience; Travel security; Security technology; Physical security; Threat intelligence; Case management; Incident response; Trust and safety; Enterprise resilience", "domainList" : [ "corporate-security", "executive-protection", "protective-intelligence", "gsoc", "event-security", "investigations", "risk-management", "resilience", "travel-security", "security-technology", "physical-security", "threat-intelligence", "case-management", "incident-response", "trust-and-safety", "enterprise-resilience" ], "domainSpecificKnowledge" : [ "Corporate security", "Executive protection", "Protective intelligence", "GSOC", "Event security", "Investigations", "Risk management", "Resilience", "Travel security", "Security technology", "Physical security", "Threat intelligence", "Case management", "Incident response", "Trust and safety", "Enterprise resilience" ], "toolProficiency" : [ "ChatGPT", "Codex", "Agents", "Airtable", "Ontic", "Jira", "Asana", "Google Workspace", "Slack" ], "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Handling sensitive data", "outcomesObjectives" : "Develop clear understanding; Identify data fragmentation; Identify quality needs; Identify duplicated effort; Create connected ecosystem; Ensure reliable data flows; Strengthen automation; Provide real-time view", "qualificationsBasic" : "5+ years experience, Experience integrating security technologies, Experience building dashboards, Experience working with APIs, Ability to work with stakeholders, Understanding of data quality, Demonstrated ability to build tools", "qualificationsPreferred" : "Experience using AI tools, Experience with Airtable, Experience with Ontic, Experience with Jira, Experience with Google Workspace, Experience with Slack, Experience supporting security teams, Experience building executive dashboards, Comfort with SQL, Comfort with Python, Comfort with JavaScript, Comfort with APIs, Comfort with low-code platforms, Comfort with no-code platforms, Experience designing data governance, Experience designing permissions models, Experience designing access-control models", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "CONTRACTOR: CORPORATE SECURITY TECHNOLOGY & DATA ENGINEER Length: 6mo to start (room for extension) Location: Remote - US ABOUT THE TEAM Corporate Security protects OpenAI’s people, places, operations, and leadership. The team supports a wide range of work across executive protection, protective intelligence, GSOC, events, investigations, risk, resilience, travel security, and security technology. As OpenAI scales, Corporate Security is building more advanced ways to understand risk, measure performance, automate workflows, and give leaders real-time visibility into what is happening across the function. ABOUT THE ROLE We are looking for a contractor to help Corporate Security build a best-in-class technology, data, and dashboard ecosystem using OpenAI tools including ChatGPT, Codex, agents, and other automation capabilities. Today, teams across Corporate Security are experimenting with their own Codex, ChatGPT, and automation projects. This role will help connect those efforts into one cohesive vision. You will partner with every Corporate Security team to understand their workflows, data, metrics, and long-term goals, then build the systems that bring everything together at the Corporate Security level. This is a hands-on technical role for someone who can think strategically, build quickly, and care deeply about data quality. The goal is not just to create dashboards, but to ensure the right data is flowing cleanly through the right systems so Corporate Security leaders can make faster, better decisions. IN THIS ROLE, YOU WILL - Partner with teams across Corporate Security to understand their operational workflows, data sources, reporting needs, and automation goals. - Build best-in-class dashboards and metrics that provide real-time visibility into Corporate Security operations, performance, risks, and program health. - Use ChatGPT, Codex, agents, APIs, and automation tools to build scalable internal tools and workflows. - Create a unified technical vision that connects team-level projects into a broader Corporate Security data and technology ecosystem. - Assess current data sources and workflows, identify gaps, and improve the quality, consistency, and reliability of data. - Design clean data pipelines and reporting structures across systems such as Airtable, Ontic, Jira, Asana, Google Workspace, and other Corporate Security tools. - Build prototypes quickly, test with users, and iterate toward production-ready solutions. - Help establish data standards, governance practices, and repeatable patterns for future Corporate Security technology builds. - Translate ambiguous business needs into clear technical requirements and practical solutions. - Serve as a technical partner to Corporate Security leadership on dashboards, automation, AI-enabled workflows, and data strategy. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong experience building dashboards, data products, internal tools, or automation systems in complex operating environments. - Are comfortable working with ambiguous requirements and turning them into simple, scalable technical solutions. - Have experience integrating systems through APIs, scripts, databases, and automation platforms. - Care about data quality and know that dashboards are only as good as the data behind them. - Can partner with non-technical stakeholders and quickly understand how their work actually happens. - Are excited about using AI tools like ChatGPT, Codex, and agents to improve real-world operations. - Can move between strategy and execution, from designing the architecture to building the actual workflow. - Have strong judgment around privacy, access control, and responsible handling of sensitive operational data. - Are highly organized, self-directed, and able to drive work across multiple stakeholders. REQUIRED QUALIFICATIONS - 5+ years of experience in data engineering, analytics engineering, software engineering, solutions architecture, business systems, or a similar technical role. - Experience integrating physical security and risk-management technologies, including access control, visitor management, threat intelligence, case management, and incident response platforms - Experience building dashboards, reporting systems, or operational analytics products. - Experience working with APIs, data pipelines, databases, scripts, or automation tools. - Ability to work directly with business stakeholders and translate operational needs into technical solutions. - Strong understanding of data quality, data modeling, and scalable reporting practices. - Demonstrated ability to build practical tools in fast-moving environments. PREFERRED QUALIFICATIONS - Experience using ChatGPT, Codex, AI agents, or LLM-based tools to build internal workflows or automation. - Experience with Airtable, Ontic, Jira, Google Workspace, Slack, or similar enterprise tools. - Experience supporting security, risk, intelligence, operations, trust and safety, or enterprise resilience teams. - Experience building executive-facing dashboards or metrics programs. - Comfort with SQL, Python, JavaScript, APIs, and low-code/no-code platforms. - Experience designing data governance, permissions, and access-control models for sensitive data. WHAT SUCCESS LOOKS LIKE Within the first few months, this contractor will have developed a clear understanding of Corporate Security’s systems, workflows, and existing Codex/ChatGPT projects. They will identify where data is fragmented, where quality needs to improve, and where teams are duplicating effort. Over time, this person will help create a connected Corporate Security data and technology ecosystem, including reliable data flows, cleaner source systems, stronger automation, and dashboards that give leadership a real-time view of Corporate Security operations.", "summaryDescription" : "Corporate Security Technology & Data Engineer (Contract) at OpenAI. Skills: Data engineering, Security technology, AI automation, Dashboarding. Partner with teams. Understand workflows", "createdAt" : "2026-06-13T22:36:07.488", "lastUpdated" : "2026-06-15T07:46:26.805", "ingestTimestamp" : "2026-06-13T22:36:07.488", "mongoId" : "6a2cf90174d8ee00a0a98c2b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data quality", "Data consistency", "Data reliability", "Data governance", "Access control", "Privacy", "Risk assessment", "Self-directed", "Data engineering", "Security technology", "AI automation", "Dashboarding", "Risk management", "Operational analytics", "Data strategy", "Technical requirements", "Data modeling", "Scalable reporting", "Corporate security", "Executive protection", "Protective intelligence", "GSOC", "Event security", "Investigations", "Resilience", "Travel security", "Physical security", "Threat intelligence", "Case management", "Incident response", "Trust and safety", "Enterprise resilience", "ChatGPT", "Codex", "Agents", "Airtable", "Ontic", "Jira", "Asana", "Google Workspace", "Slack" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 776.5175, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305058f292fd229ceef373", "title" : "Marketing Technology Manager", "company" : "Xero", "industry" : "Marketing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the SaaS industry in Brisbane, Australia, adjusted for company size and seniority." }, "location" : "AU: Brisbane (243 Edward St)", "locations" : [ "AU: Brisbane (243 Edward St)" ], "timestamp" : "2026-06-16T10:30:44.978", "fingerprint" : "661b68fd4acc1cbafea37a797505287ea91382877aca92939ead25c50fdc4d5a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xero/697ab4f4-0d9c-48f1-9b61-2fabb2ee5b0d/application", "externalId" : "697ab4f4-0d9c-48f1-9b61-2fabb2ee5b0d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brisbane", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.4689623,153.0235009" } ], "locationText" : "Brisbane, Queensland, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Salesforce, Segment, Braze, Google Ads, DBT, Python, SQL, AI, LLM", "professionalSkills" : [ "Product management", "Technical roadmaps", "Feature prioritization", "ROI decisions", "Data flows", "SaaS integrations" ], "hardSkillsList" : [ "CRM", "AI", "LLM" ], "hardSkills" : [ { "name" : "CRM", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "LLM", "level" : "intermediate" } ], "majorSkills" : "Marketing technology, Salesforce ecosystem, Data pipelines, AI initiatives", "majorSkillsList" : [ "Marketing technology", "Salesforce ecosystem", "Data pipelines", "AI initiatives" ], "coreResponsibilities" : "Configure SaaS applications, Deliver SaaS applications, Integrate SaaS applications, Direct engineering workflows, Build lead architecture, Build routing rules, Expand customer data platform, Deliver user journeys, Deliver audiences, Deliver automated data layer, Launch AI initiatives, Unite data pipelines, Unite LLM tooling, Instrument data-sharing pipelines, Improve bidding quality", "teamCollaboration" : "Performance marketing; Data engineering; Sales teams; Data analytics; Engineering pods; Cross-functional alignment", "projectManagementSkills" : [ "Product requirement documents", "Technical roadmaps", "Feature prioritization" ], "domainKnowledge" : "CRM; Artificial intelligence; Large language models; Conversion APIs; Identifier uploads; Audience targeting; Media performance visibility", "domainList" : [ "crm", "artificial-intelligence", "large-language-models", "conversion-apis", "identifier-uploads", "audience-targeting", "media-performance-visibility" ], "domainSpecificKnowledge" : [ "CRM", "Artificial intelligence", "Large language models", "Conversion APIs", "Identifier uploads", "Audience targeting", "Media performance visibility" ], "toolProficiency" : [ "Salesforce", "LeanData", "Segment", "Clay", "Unify", "Tray", "Google Ads", "DBT" ], "communicationSkills" : "Executive presentations", "documentationSkills" : "Product requirement documents", "innovationCreativity" : "Emerging technology exploration", "problemSolvingSkills" : "Solving complex problem sets", "outcomesObjectives" : "Drive measurable ROI; Deliver hyper-personalized marketing; Improve audience targeting; Enhance media performance visibility", "qualificationsBasic" : "Experience in marketing technology, Experience in sales operations, Experience in revenue operations, Experience in product management, Understanding of Salesforce, Understanding of Salesforce integration capabilities, Ability to manage technical roadmaps, Ability to set feature priorities, Ability to make high-ROI decisions, Understanding of data flows, Understanding of SaaS integrations, Interest in exploring AI, Interest in exploring LLM tools, Exceptional written communication skills, Exceptional verbal communication skills, Comfortable presenting complex technical concepts", "qualificationsPreferred" : "Experience with Segment, Experience with Braze, Experience with Google Ads, Experience with DBT, Personal projects using Python, Personal projects using SQL", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "The role / impact As a Marketing Technology Manager, you will step into a pivotal role as the internal Product Manager for our marketing technology stack, taking direct ownership of our core data pipelines, Salesforce ecosystem, and conversion event systems. This is a rare opportunity to directly guide a dedicated engineering team, empowering you to shape high-scale CRM and artificial intelligence roadmaps. Your daily work focuses on configuring, delivering, and integrating premium SaaS applications to drive measurable return on investment and deliver hyper-personalised marketing at scale. By partnering with performance marketing, data engineering, and sales teams, you will make high-impact technical choices that improve audience targeting, enhance media performance visibility, and offer clear exposure to executive leadership. The team / how they connect The Marketing Technology team sits under Performance Marketing, operating as a high-velocity internal product and engineering function that owns our global tech stack. The team brings together artificial intelligence workflow development specialists and engineering pods who collaborate seamlessly across regions to build automated campaigns, lead-routing systems, and data-sharing pipelines. You will report directly to the Head of Marketing Technology, working alongside top-performing peers in an environment defined by accountability, shared learning, and a passion for engineering excellence. The team is currently working on / Initially, you will focus on - Directing engineering workflows using comprehensive product requirement documents to build robust lead architecture and routing rules within Salesforce via LeanData. - Expanding our Segment customer data platform, utilizing personas to deliver complex user journeys, audiences, and an automated data layer connected to Clay, Unify, and Tray. - Launching flagship artificial intelligence initiatives, including our sales development representative automation project, by uniting data pipelines and large language model tooling. - Partnering with data analytics to instrument data-sharing pipelines like conversion APIs and identifier uploads to continuously improve bidding quality on third-party ad platforms. Where and how you can work We offer a flexible, collaborative work environment that prioritises digital connection and cross-functional alignment. Our team works effectively across global regions, utilising regular virtual synchronisations and team check-ins to stay aligned on global initiatives without any rigid office attendance mandates. Here are some of the things we are looking for - Your background includes experience in marketing technology, sales operations, revenue operations, or product management, with a clear understanding of Salesforce and its integration capabilities. - You bring a proven ability to manage technical roadmaps, set feature priorities, and make high-ROI decisions that guide engineering teams toward impactful solutions. - Having a strong understanding of data flows, SaaS integrations, and modern tools like Segment, Braze, Google Ads, or DBT will ensure your success. - A genuine interest in exploring and applying artificial intelligence and large language model tools within a marketing or product context drives your work. - Exceptional written and verbal communication skills are part of your toolkit, making you comfortable presenting complex technical concepts to executive leaders. - You possess a natural curiosity for emerging technology, perhaps demonstrated through personal projects using Python or SQL, alongside a passion for solving complex problem sets laterally. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.", "summaryDescription" : "Marketing Technology Manager at Xero. Skills: Marketing technology, Salesforce ecosystem, Data pipelines, AI initiatives. Configure SaaS applications. Deliver SaaS applications", "createdAt" : "2026-06-16T00:29:25.942", "lastUpdated" : "2026-06-16T10:30:44.978", "ingestTimestamp" : "2026-06-16T00:29:25.942", "mongoId" : "6a305058f292fd229ceef373", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "CRM", "AI", "LLM", "Marketing technology", "Salesforce ecosystem", "Data pipelines", "AI initiatives", "Product management", "Technical roadmaps", "Feature prioritization", "ROI decisions", "Data flows", "SaaS integrations", "Product requirement documents", "Artificial intelligence", "Large language models", "Conversion APIs", "Identifier uploads", "Audience targeting", "Media performance visibility", "Salesforce", "LeanData", "Segment", "Clay", "Unify", "Tray", "Google Ads", "DBT" ], "skillCount" : 28, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 770.05524, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa6f5", "title" : "Sr. Recruiting Manager, Engineering & Data", "industry" : "Recruiting", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for manager seniority in the technology industry for a full-time remote role." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:41:22.492", "fingerprint" : "f01dd40c6d6971c9ad6c13d4789548c60e339e2fe981feb74c756964d6b3287e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0089c7a5-72ba-41e3-b937-9ba56e753b77/apply", "externalId" : "0089c7a5-72ba-41e3-b937-9ba56e753b77", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "professionalSkills" : [ "Hiring strategy", "Process improvement", "Offer strategy", "Negotiations", "Market trends", "Closing strategies", "Sourcing workflows", "Screening workflows", "Evaluation workflows" ], "hardSkillsList" : [ "Full-cycle recruiting", "Technical recruiting", "Data recruiting", "Recruiting funnel metrics", "Hiring data analysis", "AI-enabled recruiting" ], "softSkillsList" : [ "Leadership", "Coaching", "Performance management", "Alignment" ], "hardSkills" : [ { "name" : "Full-cycle recruiting", "level" : "intermediate" }, { "name" : "Technical recruiting", "level" : "intermediate" }, { "name" : "Data recruiting", "level" : "intermediate" }, { "name" : "Recruiting funnel metrics", "level" : "intermediate" }, { "name" : "Hiring data analysis", "level" : "intermediate" }, { "name" : "AI-enabled recruiting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Performance management" }, { "name" : "Alignment" } ], "majorSkills" : "Full-cycle recruiting, Technical recruiting, Hiring strategy, Team management", "majorSkillsList" : [ "Full-cycle recruiting", "Technical recruiting", "Hiring strategy", "Team management" ], "coreResponsibilities" : "Own full-cycle recruiting, Manage and develop Senior Recruiter, Maintain active requisition load, Build hiring strategies, Execute hiring pipelines, Partner with leadership, Define hiring priorities, Ensure alignment, Improve hiring outcomes, Use recruiting funnel metrics, Use hiring data, Diagnose challenges, Identify root causes, Implement process improvements, Lead offer strategy, Lead negotiations, Advise stakeholders, Contribute to AI-enabled recruiting, Identify opportunities", "teamCollaboration" : "Partner with leadership; Drive alignment across teams", "domainKnowledge" : "Engineering roles; Data roles; Technical roles; Hard-to-fill roles", "domainList" : [ "engineering-roles", "data-roles", "technical-roles", "hard-to-fill-roles" ], "domainSpecificKnowledge" : [ "Engineering roles", "Data roles", "Technical roles", "Hard-to-fill roles" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Professional development; Learning; Skill growth", "problemSolvingSkills" : "Diagnose challenges; Identify root causes; Data-driven insights", "outcomesObjectives" : "Improve hiring outcomes", "qualificationsBasic" : "8+ years full-cycle recruiting, 2+ years managing recruiters, Partnering with senior technical leaders, Structured interviewing methodologies, End-to-end recruiting process design, Manage complex negotiations, Close senior technical talent, Analytical mindset, Experience using recruiting metrics, Hands-on experience with AI tools, Excellent communication skills, Stakeholder management skills", "qualificationsPreferred" : "AI adds measurable value perspective", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Own full-cycle recruiting for Engineering and Data roles, from intake through offer acceptance, across a wide range of seniority levels. Act as a player-coach by directly managing and developing a Senior Recruiter while maintaining an active requisition load. Build and execute long-term hiring strategies and pipelines for critical and hard-to-fill technical roles. Partner closely with Engineering and Data leadership to define hiring priorities, ensure alignment, and improve hiring outcomes. Use recruiting funnel metrics and hiring data to diagnose challenges, identify root causes, and implement process improvements. Lead offer strategy and negotiations, advising stakeholders on market trends, compensation, and closing strategies. Contribute to the evolution of AI-enabled recruiting practices, identifying opportunities to improve sourcing, screening, and evaluation workflows. Requirements: 8+ years of full-cycle recruiting experience with a strong focus on Engineering and/or Data roles. At least 2+ years of experience managing recruiters, including coaching, performance management, and workload planning. Proven success partnering with senior technical leaders and influencing hiring strategy through data-driven insights. Strong expertise in structured interviewing methodologies and end-to-end recruiting process design. Demonstrated ability to manage complex negotiations and close senior technical talent in competitive markets. Strong analytical mindset with experience using recruiting metrics to drive performance improvements. Hands-on experience with AI tools in recruiting workflows, with a clear perspective on where AI adds measurable value. Excellent communication and stakeholder management skills, with the ability to drive alignment across multiple teams. Benefits: Competitive salary ranges based on location and experience level, with higher bands in major U.S. tech hubs. Comprehensive healthcare coverage, including medical, dental, and vision plans. Flexible work arrangements supporting hybrid or remote-first collaboration depending on team structure. Equity opportunities as part of the overall compensation package. Performance-based incentives and bonus potential tied to company and individual impact. Support for professional development, learning, and continued skill growth. Inclusive and flexible work environment designed to support work-life balance. Commitment to accessibility, diversity, and equal opportunity hiring practices. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Sr. Recruiting Manager, Engineering & Data. Skills: Full-cycle recruiting, Technical recruiting, Hiring strategy, Team management. Own full-cycle recruiting. Manage and develop Senior Recruiter", "postedDate" : "2026-06-15T08:03:06.338", "createdAt" : "2026-06-15T08:03:06.338", "lastUpdated" : "2026-06-16T11:41:22.492", "ingestTimestamp" : "2026-06-16T03:22:32.525", "mongoId" : "6a30511af292fd229cefa6f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Full-cycle recruiting", "Technical recruiting", "Data recruiting", "Recruiting funnel metrics", "Hiring data analysis", "AI-enabled recruiting", "Leadership", "Coaching", "Performance management", "Alignment", "Hiring strategy", "Team management", "Process improvement", "Offer strategy", "Negotiations", "Market trends", "Closing strategies", "Sourcing workflows", "Screening workflows", "Evaluation workflows", "Engineering roles", "Data roles", "Technical roles", "Hard-to-fill roles", "AI tools" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 768.4985, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305058f292fd229ceef32a", "title" : "Marketing Technology Manager", "company" : "Xero", "industry" : "Marketing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the SaaS industry in Melbourne, Australia, adjusted for seniority and remote work." }, "location" : "AU: Melbourne: (260 Burwood Rd)", "locations" : [ "AU: Melbourne: (260 Burwood Rd)" ], "timestamp" : "2026-06-16T12:01:46.749", "fingerprint" : "e246731857902534313ae26954f028f4d266b24a12f2212fbe364743b80dafd0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xero/49f1a9ea-b836-422e-b0ca-7118a24dd8d9/application", "externalId" : "49f1a9ea-b836-422e-b0ca-7118a24dd8d9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "remote", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Salesforce, Segment, Clay, Unify, Tray, Python, SQL, LeanData", "professionalSkills" : [ "Product management", "Roadmap management", "Feature prioritization", "ROI analysis", "Data flow analysis", "SaaS integration" ], "hardSkillsList" : [ "CRM configuration", "AI implementation", "LLM tooling", "Data pipeline instrumentation", "Conversion API", "Identifier uploads", "Bidding quality improvement" ], "hardSkills" : [ { "name" : "CRM configuration", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "LLM tooling", "level" : "intermediate" }, { "name" : "Data pipeline instrumentation", "level" : "intermediate" }, { "name" : "Conversion API", "level" : "intermediate" }, { "name" : "Identifier uploads", "level" : "intermediate" }, { "name" : "Bidding quality improvement", "level" : "intermediate" } ], "majorSkills" : "Marketing technology, Salesforce ecosystem, Data pipelines, AI roadmaps, LLM tooling", "majorSkillsList" : [ "Marketing technology", "Salesforce ecosystem", "Data pipelines", "AI roadmaps", "LLM tooling" ], "coreResponsibilities" : "Configure SaaS applications, Deliver SaaS applications, Integrate SaaS applications, Drive measurable ROI, Deliver hyper-personalized marketing, Improve audience targeting, Enhance media performance visibility, Build lead architecture, Build lead routing rules, Expand customer data platform, Deliver complex user journeys, Deliver audiences, Connect automated data layer, Launch AI initiatives, Automate sales development, Unite data pipelines, Instrument data-sharing pipelines, Improve bidding quality", "teamCollaboration" : "Performance marketing; Data engineering; Sales teams; Data analytics; Engineering pods; Cross-functional alignment", "projectManagementSkills" : [ "Product requirement documents", "Technical roadmaps", "Feature prioritization" ], "domainKnowledge" : "Marketing technology; Sales operations; Revenue operations; CRM; AI; Large language models", "domainList" : [ "marketing-technology", "sales-operations", "revenue-operations", "crm", "ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Marketing technology", "Sales operations", "Revenue operations", "CRM", "AI", "Large language models" ], "toolProficiency" : [ "Salesforce", "LeanData", "Segment", "Clay", "Unify", "Tray" ], "communicationSkills" : "Presenting technical concepts", "documentationSkills" : "Product requirement documents", "innovationCreativity" : "Emerging technology exploration", "problemSolvingSkills" : "Solving complex problem sets", "outcomesObjectives" : "Drive measurable ROI; Deliver hyper-personalized marketing; Improve audience targeting; Enhance media performance visibility; Improve bidding quality", "qualificationsBasic" : "Experience in marketing technology, Experience in sales operations, Experience in revenue operations, Experience in product management, Understanding of Salesforce, Understanding of Salesforce integration capabilities, Ability to manage technical roadmaps, Ability to set feature priorities, Ability to make high-ROI decisions, Understanding of data flows, Understanding of SaaS integrations, Interest in applying AI, Interest in applying LLM tools, Exceptional written communication skills, Exceptional verbal communication skills, Comfortable presenting complex technical concepts", "qualificationsPreferred" : "Experience with Segment, Experience with Braze, Experience with Google Ads, Experience with DBT, Personal projects using Python, Personal projects using SQL", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "The role / impact As a Marketing Technology Manager, you will step into a pivotal role as the internal Product Manager for our marketing technology stack, taking direct ownership of our core data pipelines, Salesforce ecosystem, and conversion event systems. This is a rare opportunity to directly guide a dedicated engineering team, empowering you to shape high-scale CRM and artificial intelligence roadmaps. Your daily work focuses on configuring, delivering, and integrating premium SaaS applications to drive measurable return on investment and deliver hyper-personalised marketing at scale. By partnering with performance marketing, data engineering, and sales teams, you will make high-impact technical choices that improve audience targeting, enhance media performance visibility, and offer clear exposure to executive leadership. The team / how they connect The Marketing Technology team sits under Performance Marketing, operating as a high-velocity internal product and engineering function that owns our global tech stack. The team brings together artificial intelligence workflow development specialists and engineering pods who collaborate seamlessly across regions to build automated campaigns, lead-routing systems, and data-sharing pipelines. You will report directly to the Head of Marketing Technology, working alongside top-performing peers in an environment defined by accountability, shared learning, and a passion for engineering excellence. The team is currently working on / Initially, you will focus on - Directing engineering workflows using comprehensive product requirement documents to build robust lead architecture and routing rules within Salesforce via LeanData. - Expanding our Segment customer data platform, utilizing personas to deliver complex user journeys, audiences, and an automated data layer connected to Clay, Unify, and Tray. - Launching flagship artificial intelligence initiatives, including our sales development representative automation project, by uniting data pipelines and large language model tooling. - Partnering with data analytics to instrument data-sharing pipelines like conversion APIs and identifier uploads to continuously improve bidding quality on third-party ad platforms. Where and how you can work We offer a flexible, collaborative work environment that prioritises digital connection and cross-functional alignment. Our team works effectively across global regions, utilising regular virtual synchronisations and team check-ins to stay aligned on global initiatives without any rigid office attendance mandates. Here are some of the things we are looking for - Your background includes experience in marketing technology, sales operations, revenue operations, or product management, with a clear understanding of Salesforce and its integration capabilities. - You bring a proven ability to manage technical roadmaps, set feature priorities, and make high-ROI decisions that guide engineering teams toward impactful solutions. - Having a strong understanding of data flows, SaaS integrations, and modern tools like Segment, Braze, Google Ads, or DBT will ensure your success. - A genuine interest in exploring and applying artificial intelligence and large language model tools within a marketing or product context drives your work. - Exceptional written and verbal communication skills are part of your toolkit, making you comfortable presenting complex technical concepts to executive leaders. - You possess a natural curiosity for emerging technology, perhaps demonstrated through personal projects using Python or SQL, alongside a passion for solving complex problem sets laterally. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.", "summaryDescription" : "Marketing Technology Manager at Xero. Skills: Marketing technology, Salesforce ecosystem, Data pipelines, AI roadmaps, LLM tooling. Configure SaaS applications. Deliver SaaS applications", "createdAt" : "2026-06-16T00:28:57.651", "lastUpdated" : "2026-06-16T12:01:46.749", "ingestTimestamp" : "2026-06-16T00:28:57.651", "mongoId" : "6a305058f292fd229ceef32a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "CRM configuration", "AI implementation", "LLM tooling", "Data pipeline instrumentation", "Conversion API", "Identifier uploads", "Bidding quality improvement", "Marketing technology", "Salesforce ecosystem", "Data pipelines", "AI roadmaps", "Product management", "Roadmap management", "Feature prioritization", "ROI analysis", "Data flow analysis", "SaaS integration", "Product requirement documents", "Technical roadmaps", "Sales operations", "Revenue operations", "CRM", "AI", "Large language models", "Salesforce", "LeanData", "Segment", "Clay", "Unify", "Tray" ], "skillCount" : 30, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 766.28656, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94bb74d8ee00a098b6df", "title" : "Survey Technology Process Specialist", "company" : "AKS Engineering & Forestry, LLC", "industry" : "Consulting", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Survey Technology Process Specialist in Tualatin, United States, adjusted for the Engineering industry." }, "location" : "Tualatin, Oregon, United States", "locations" : [ "Tualatin", "Oregon", "United States" ], "certifications" : [ "PLS license" ], "timestamp" : "2026-06-16T05:52:21.275", "fingerprint" : "fcb9885eecdd41418646e6bdd8fad829296c93f5d5901e492868f98e3f7154b5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/aksengineeringforestryllc/jobs/4185628009", "externalId" : "4185628009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tualatin", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.3809339,-122.7694369" } ], "locationText" : "Tualatin, Oregon, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "GNSS/RTK, Total stations, LiDAR, UAV/drone systems, Point-cloud tools, Field software, Office software, Trimble, Leica, Topcon, Python", "professionalSkills" : [ "Technology evaluation", "Process implementation", "Workflow development", "Procedure documentation", "Training development", "Equipment maintenance", "Vendor relationships", "Technical integration" ], "hardSkillsList" : [ "Survey technology", "Hardware evaluation", "Software evaluation", "Pilot projects", "Rollout plans", "Equipment procurement", "Troubleshooting", "Deliverables production", "SOP creation", "Best practices standardization", "Training delivery", "Equipment inventory", "Firmware updates", "Vendor coordination", "Technical requirements", "Workflow integration", "Adoption metrics" ], "softSkillsList" : [ "Patient teacher", "Mentor" ], "hardSkills" : [ { "name" : "Survey technology", "level" : "intermediate" }, { "name" : "Hardware evaluation", "level" : "intermediate" }, { "name" : "Software evaluation", "level" : "intermediate" }, { "name" : "Pilot projects", "level" : "intermediate" }, { "name" : "Rollout plans", "level" : "intermediate" }, { "name" : "Equipment procurement", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Deliverables production", "level" : "intermediate" }, { "name" : "SOP creation", "level" : "intermediate" }, { "name" : "Best practices standardization", "level" : "intermediate" }, { "name" : "Training delivery", "level" : "intermediate" }, { "name" : "Equipment inventory", "level" : "intermediate" }, { "name" : "Firmware updates", "level" : "intermediate" }, { "name" : "Vendor coordination", "level" : "intermediate" }, { "name" : "Technical requirements", "level" : "intermediate" }, { "name" : "Workflow integration", "level" : "intermediate" }, { "name" : "Adoption metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Patient teacher" }, { "name" : "Mentor" } ], "majorSkills" : "Survey technology, Hardware implementation, Software implementation, Training", "majorSkillsList" : [ "Survey technology", "Hardware implementation", "Software implementation", "Training" ], "coreResponsibilities" : "Evaluate new survey hardware, Evaluate new survey software, Lead pilot projects, Validate capabilities, Validate workflows, Implement new technology firmwide, Develop rollout plans, Coordinate equipment procurement, Partner with leads in other offices, Complete mid-project survey tasks, Troubleshoot equipment in field, Finish field runs, Produce deliverables, Create SOPs, Maintain SOPs, Create step-by-step procedures, Maintain step-by-step procedures, Create \"how-to\" documentation, Maintain \"how-to\" documentation, Develop training materials, Deliver hands-on training, Maintain technical resources, Organize technical resources, Track outcomes", "teamCollaboration" : "Cross-office rollout; Coordinate with Project Managers; Coordinate with survey supervisors; Coordinate with CAD/GIS teams; Coordinate with vendors", "projectManagementSkills" : [ "Manage pilot projects", "Manage rollout tasks" ], "domainKnowledge" : "Survey hardware; Field software; Point-cloud processing; LiDAR workflows; UAV photogrammetry", "domainList" : [ "survey-hardware", "field-software", "point-cloud-processing", "lidar-workflows", "uav-photogrammetry" ], "domainSpecificKnowledge" : [ "Survey hardware", "Field software", "Point-cloud processing", "LiDAR workflows", "UAV photogrammetry" ], "toolProficiency" : [ "GNSS/RTK", "Total stations", "LiDAR", "UAV/drone systems", "Point-cloud tools", "Field software", "Office software", "Trimble", "Leica", "Topcon", "Python" ], "communicationSkills" : "Written communication; Verbal communication; Presenting to nontechnical staff", "documentationSkills" : "SOPs; Step-by-step procedures; How-to documentation", "continuousLearning" : "Learn new technology", "innovationCreativity" : "Test new technology rigorously; Champion practical adoption", "problemSolvingSkills" : "Troubleshoot equipment", "specialRequirements" : "Regular field work", "qualificationsBasic" : "Deep working knowledge of survey hardware, Deep working knowledge of field software, Proven ability to troubleshoot equipment, Experience developing SOPs, Experience delivering hands-on training, Highly organized, Able to manage multiple pilot projects, Able to manage rollout tasks, Written communication, Verbal communication, Comfortable coordinating with technical teams, Comfortable presenting to nontechnical staff, Self starter", "qualificationsPreferred" : "PLS license, Working toward PLS licensure, Experience with point-cloud processing, Experience with LiDAR workflows, Experience with UAV photogrammetry, Familiarity with scripting, Familiarity with automation, Prior experience leading R&D, Prior experience leading pilot programs, Tracking adoption metrics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At AKS, we are growing and building for the future. We bring together multidisciplined experts across the land development, energy, and infrastructure markets to take on bigger challenges and deliver solutions that make a real difference. Our teams combine creativity, technical excellence, and a collaborative, hands-on approach to solve complex problems and deliver results our clients and communities can count on. We take pride in our work and our ability to provide opportunities for our teams, support each other’s growth, and look ahead to what’s next. When you join AKS, you will ﬁnd opportunities to take ownership of meaningful projects, learn, lead, and make an impact from day one. Role summary The Survey Technology Specialist drives survey technology evaluation, implementation, and adoption across the firm. This technically focused, hands-on role evaluates new hardware and software, completes and supports in-progress survey projects, documents procedures, and develops training so survey teams can reliably use new tools and workflows. This is a fulltime, Tualatin-office role with regular field work and cross-office rollout responsibilities. Compensation will be determined case-by-case based on experience. What You’ll Do Evaluate new survey hardware and software (GNSS/RTK, total stations, LiDAR, UAV/drone systems, point-cloud tools, field and office software) and lead pilot projects to validate capabilities and workflows. Implement new technology firmwide: develop rollout plans, coordinate equipment procurement, and partner with leads in other offices to ensure smooth adoption. Complete and take ownership of mid-project survey tasks when supervisors need assistance—troubleshoot, finish field runs, and produce deliverables to get projects to closeout. Create and maintain SOPs, step-by-step procedures, and “how-to” documentation that memorialize existing knowledge and standardize best practices. Develop training materials and deliver hands-on training sessions for survey crews and office staff; act as a clear, patient teacher and mentor. Maintain and organize technical resources: equipment inventory, maintenance schedules, firmware updates, and vendor relationships. Coordinate with Project Managers, survey supervisors, CAD/GIS teams, and vendors to ensure technical requirements are met and workflows integrate across disciplines. Track outcomes from R exact requirements are flexible and will be evaluated case by case based on demonstrated technical skill. Deep working knowledge of survey hardware and field software (GNSS/RTK, total stations, UAVs, LiDAR/point-cloud tools, Trimble/Leica/Topcon or similar). Proven ability to troubleshoot equipment in the field and complete projects to deliverable quality. Experience developing SOPs and training materials, and delivering effective hands-on training. Highly organized, detail oriented, and able to manage multiple pilot projects and rollout tasks. Strong written and verbal communication skills; comfortable coordinating with technical teams and presenting to nontechnical staff. Self starter who seeks out new technology, tests it rigorously, and champions practical adoption. Nice to Have PLS license or working toward licensure (licensure not required for the role but valued). Experience with point-cloud processing, LiDAR workflows, or UAV photogrammetry. Familiarity with scripting or automation (Python) for survey/GIS tasks. Prior experience leading R&D or pilot programs and tracking adoption metrics. Why AKS? At AKS, we believe your work should support your life, not the other way around. Here's what you can count on when you join our team: Meaningful Growth: Whether you're just starting out or looking to advance, we offer hands-on training, mentorship, and clear paths for professional development so you can grow with purpose. Real Collaboration: Join a team that brings diverse perspectives together to solve complex challenges with creativity, curiosity, and a shared commitment to quality. Respect for Your Time: We value work-life balance and offer generous PTO and a supportive environment that helps you manage both personal and professional responsibilities. Benefits That Care: You’ll have access to health coverage that supports your total well-being, plus a 401(k) match, paid holidays, and more resources to help you thrive. Weekly Team Lunches: Take a break and recharge with your teammates, we believe food brings people together. Culture That Connects: We invest in experiences that build strong teams and strong communities. A Place People Love to Work: We’ve been named one of the Top Workplaces year after year. Join us and be part of a team that values your contributions, celebrates initiative, and is committed to doing things the right way for our employees, clients, and communities.", "summaryDescription" : "Survey Technology Process Specialist at AKS Engineering & Forestry, LLC. Skills: Survey technology, Hardware implementation, Software implementation, Training. Evaluate new survey hardware. Evaluate new survey software", "postedDate" : "2026-06-14T20:08:55.843", "createdAt" : "2026-06-14T20:08:55.843", "lastUpdated" : "2026-06-16T05:52:21.275", "ingestTimestamp" : "2026-06-14T20:08:55.843", "mongoId" : "6a2c94bb74d8ee00a098b6df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Survey technology", "Hardware evaluation", "Software evaluation", "Pilot projects", "Rollout plans", "Equipment procurement", "Troubleshooting", "Deliverables production", "SOP creation", "Best practices standardization", "Training delivery", "Equipment inventory", "Firmware updates", "Vendor coordination", "Technical requirements", "Workflow integration", "Adoption metrics", "Patient teacher", "Mentor", "Hardware implementation", "Software implementation", "Training", "Technology evaluation", "Process implementation", "Workflow development", "Procedure documentation", "Training development", "Equipment maintenance", "Vendor relationships", "Technical integration", "Manage pilot projects", "Manage rollout tasks", "Survey hardware", "Field software", "Point-cloud processing", "LiDAR workflows", "UAV photogrammetry", "PLS license", "GNSS/RTK", "Total stations", "LiDAR", "UAV/drone systems", "Point-cloud tools", "Office software", "Trimble", "Leica", "Topcon", "Python" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 766.0034, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aa71b74d8ee00a06bc6a0", "title" : "Manager, Data Engineering", "company" : "Justworks", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Data Engineering in New York, USA, adjusted for the SaaS industry and company size." }, "location" : "New York, New York", "locations" : [ "New York", "New York" ], "timestamp" : "2026-06-14T02:23:16.417", "fingerprint" : "65bb45adc4e113fdecb4a109b45a8a1458d5c31053f924a88504e5e81ad090dc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/justworks/jobs/7957532?gh_jid=7957532", "externalId" : "7957532", "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", "experienceLevel" : "Manager", "technicalSkills" : "Python, SQL, Snowflake, AWS, S3, Lambda, Fargate, Redshift, Kinesis, Terraform, CloudFormation, Airflow, dbt, Estuary, MWAA, Step Functions, EventBridge, Datadog, CircleCI, GitHub Actions", "professionalSkills" : [ "Data warehousing", "ETL/ELT pipelines", "Data security", "Data governance", "Schema design", "Query optimization", "Cost governance", "Data sharing", "Workflow orchestration", "Monitoring", "Testing" ], "hardSkillsList" : [ "Systems thinking", "SQL optimization", "Cost optimization" ], "softSkillsList" : [ "Balances Stakeholders", "Influence", "Leadership", "Mentorship", "Manages Complexity", "Good Judgment", "Teamwork", "Skills and knowledge", "Camaraderie", "Openness", "Grit", "Integrity", "Simplicity" ], "hardSkills" : [ { "name" : "Systems thinking", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Balances Stakeholders" }, { "name" : "Influence" }, { "name" : "Leadership" }, { "name" : "Mentorship" }, { "name" : "Manages Complexity" }, { "name" : "Good Judgment" }, { "name" : "Teamwork" }, { "name" : "Skills and knowledge" }, { "name" : "Camaraderie" }, { "name" : "Openness" }, { "name" : "Grit" }, { "name" : "Integrity" }, { "name" : "Simplicity" } ], "majorSkills" : "Data Engineering, Platform infrastructure, Team building", "majorSkillsList" : [ "Data Engineering", "Platform infrastructure", "Team building" ], "coreResponsibilities" : "Build data pipelines, Build platform infrastructure, Develop engineers, Build high-performing teams, Manage complexity, Apply critical thinking, Take ownership of outcomes, Leverage unique skills, Actively learn domain knowledge, Apply best practices, Enhance and improve systems, Turn fragmented ways of working into scalable systems, Identify what needs to be done, Set clear milestones, Drive work forward", "teamCollaboration" : "Diverse data organization; Partnering with leadership", "projectManagementSkills" : [ "Workflow orchestration" ], "domainKnowledge" : "Data warehousing; ETL/ELT pipelines; Cloud data platforms; Data security; Compliance; Governance; Data lakehouse patterns; Regulated environment; Compliance-sensitive environment", "domainList" : [ "data-warehousing", "etl-elt-pipelines", "cloud-data-platforms", "data-security", "compliance", "governance", "data-lakehouse-patterns", "regulated-environment", "compliance-sensitive-environment" ], "domainSpecificKnowledge" : [ "Data warehousing", "ETL/ELT pipelines", "Cloud data platforms", "Data security", "Compliance", "Governance", "Data lakehouse patterns", "Regulated environment", "Compliance-sensitive environment" ], "toolProficiency" : [ "Snowflake", "dbt", "Fivetran", "Airflow", "MWAA", "Datadog", "CircleCI", "Terraform" ], "communicationSkills" : "Engage stakeholders", "continuousLearning" : "Actively learn", "problemSolvingSkills" : "Systems thinking; Critical thinking; Problem solving", "qualificationsBasic" : "7+ years data engineering experience, 1+ years people management experience, Deep proficiency in SQL, Experience with Snowflake, Foundational knowledge in data warehousing, Foundational knowledge in ETL/ELT pipelines, Foundational knowledge in cloud data platforms, Experience with workflow orchestration, Experience with monitoring, Experience with testing, Expertise with AWS services, Expertise with infrastructure-as-code, Experience with data security, Experience with compliance, Experience with governance, Comfortable with ambiguity", "qualificationsPreferred" : "Familiarity with data lakehouse patterns, Familiarity with cost optimization strategies, Background in regulated environment, Background in compliance-sensitive environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data communicates effectively; understands urgency and plans accordingly Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders. Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization. Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Good Judgment - Pauses before acting; asks questions to fully understand context; applies critical thinking and takes ownership of outcomes Teamwork leverages unique skills to maximize efficiency Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve. In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for: Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others. Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others. Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude. Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.” Qualifications You're a builder who applies systems thinking to internal infrastructure. You're comfortable working across a diverse data organization and partnering with leadership to turn fragmented ways of working into scalable, durable systems. 7+ years of professional hands-on experience in data engineering, with a focus on building data pipelines and platform infrastructure 1+ years of people management experience, with a track record of developing engineers and building high-performing teams Deep proficiency in SQL and Python; recognized by peers for technical rigor and sound engineering judgment Strong experience with Snowflake - schema design, query optimization, cost governance, and data sharing Strong foundational knowledge in data warehousing, ETL/ELT pipelines, and cloud data platforms Experience with workflow orchestration, monitoring, and testing using tools such as Airflow, dbt, or equivalent Expertise with AWS services (S3, Lambda, Fargate, Redshift, Kinesis, etc.) and infrastructure-as-code (Terraform, CloudFormation) Strong experience with data security, compliance, and governance in a production environment Comfortable with ambiguity — able to identify what needs to be done, set clear milestones, and drive work forward Strong communicator with the ability to engage technical and non-technical stakeholders effectively Nice to have Familiarity with data lakehouse patterns and cost optimization strategies at scale Background in a regulated or compliance-sensitive environment (fintech, HR tech, healthcare) Technologies Used Languages: Python, SQL, Terraform Data & Analytics: Snowflake, dbt, Fivetran Streaming & CDC: Estuary Workflow Orchestration: Airflow, MWAA Cloud: AWS (S3, Lambda, Fargate, Redshift, Kinesis, Step Functions, EventBridge) Observability & Monitoring: Datadog CI/CD: CircleCI, GitHub Actions The base wage range for this position based in our New York City Office is targeted at $205,000.00 - $261,500.00 per year. #LI-DG2 #LI-Hybrid Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location. For more information about Justworks’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks. Diversity At Justworks Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers. We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at accommodations@justworks.com. Your comfort and success matter to us, and we're here to ensure an inclusive experience. Our DEIB Report", "summaryDescription" : "Manager, Data Engineering at Justworks. Skills: Data Engineering, Platform infrastructure, Team building. Build data pipelines. 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Data Science team; Integrated team; Wider JLL community; Business and technical teams", "projectManagementSkills" : [ "Agile project management", "Lean Six Sigma" ], "domainKnowledge" : "Real Estate Industry; Construction Industry", "domainList" : [ "real-estate-industry", "construction-industry" ], "domainSpecificKnowledge" : [ "Real Estate Industry", "Construction Industry" ], "toolProficiency" : [ "Microsoft Power BI", "Tableau", "Alteryx" ], "communicationSkills" : "Verbal communication; Written communication; Technical writing; Data storytelling", "documentationSkills" : "Technical writing", "continuousLearning" : "Self-learn new software applications; Self-learn programming languages", "innovationCreativity" : "Innovation; Fresh thinking", "problemSolvingSkills" : "Problem solver; Creative thinking", "specialRequirements" : "Shift timings: 8 AM - 5 PM IST", "outcomesObjectives" : "Deliver best outcomes for clients", "qualificationsBasic" : "Bachelor's degree in Business, Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline, 5-10 Years knowledge of standard analytical, reporting and programming languages (SQL, R, SSRS, Python), Understanding of Data Wrangling, Understanding of data and systems engineering concepts, Ability to clean data and structure according to required schema, In-depth understanding of database management systems, OLAP and ETL framework, Understanding of 'Big Data' statistical modelling techniques, Effective written and verbal communication skills", "qualificationsPreferred" : "Advanced degree and/or 5-10 years of experience in information science, computer science or analytics, Experience of agile project management or lean six sigma with related certifications, Government experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**JLL empowers you to shape a brighter way**. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. **The Opportunity:** At JLL it’s our ambition to be the smartest when it comes to technology, data and insights. We want to have the best tools and technology in real estate, enabling our people to do their greatest work and making it easy to harness the power of data to drive sustainable and profitable growth and provide real actionable insights for both ourselves and our clients. We are looking for someone to join our Project and Development Services (PDS) BI Team to support the business transformation to proactively using data in all aspects of our decision making. This role is not just about data modelling & reporting but will be integral member involved in a multifaceted program delivering real, measurable change that makes a difference to our people and our business. **Responsibilities:** * Understand and document the business need and ensure in context of building BI solutions. * Identify and implement data acquisition programs as part of data discovery process. * Facilitate the design and development of the most appropriate model to meet and exceed the requirement. * Build visualizations that tell a compelling story and turn data into actionable insights. * Understand the current state BI landscape and facilitate define a future state that brings innovation and fresh thinking while addressing the current and future needs of the business * for our people to deliver the best outcomes for our clients within the APAC region * Create inspiration around the power of technology and data within the PDS business. * Support broader tech services team/Data Science team and collaborate effectively with integrated team of tech-focused resources. * Connect with the wider JLL community on technology and innovation to align and share ideas * Be well versed in the latest BI trends to ensure that JLL remains at the forefront of the industry by continuing innovating and improving. * Collaborate with Director of Data Science to build end to end products to client requirements including ETL protocols, statistical modelling, and visualization. **Experience & Qualifications** * Bachelor’s degree in Business, Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, or social science. Advanced degree and/or 5-10 years of experience in the fields of information science, computer science or analytics preferred. * Business model knowledge and ability to scope a business problem and quantify numerically * 5-10 Years knowledge of standard analytical, reporting and programming languages and their applications (such as SQL, R, SSRS, Python) * Understanding of Data Wrangling: Data Discovery, Acquisition & Transformation process and the specific use of tools to support Self Service data preparation and data governance. * Understanding of data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables. * Identify valuable data sources and automate collection processes. * Background in data warehouse design and data mining. * Ability to clean data and structure according to required schema. * In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework. * Understanding of 'Big Data' statistical modelling techniques including hypothesis testing, regression analysis, classification, model selection, natural language processing. * Capability to self-learn new software applications and programming languages. * Effective written and verbal communication skills, including technical writing. * Experience of agile project management or lean six sigma with related certifications. * Experience working in large global organizations with geographically dispersed teams and complex technical environments (Government experience preferred by not essential) * Strong customer focus with a demonstrated ability to work seamlessly with business and technical teams. * Shift timings: 8 AM - 5 PM IST * Location: Gurugram, Haryana **Skills:** * Expertise in BI visualization using Microsoft Power BI, Tableau. * Knowledge of SQL queries, SQL Server Integration Services (SSIS) and Alteryx workflows. * Translate business needs to technical specifications. * Personal values that align with JLL’s values of teamwork, ethics, excellence * High energy and passionate about delivering real, sustainable change within the construction and real estate industry * Super organized and can convert strategy into action. Somebody who is known for getting things done. * Excellent listening and analytical skills. Can understand the needs of stakeholders and then deliver solutions that users describe as “making their job easier”. * A problem solver by nature who thinks creatively and sticks with it until resolved * Early adopter of BI Technology, reads incessantly, is curious and continuously learning * Speaks the language of data and BI and can tell a compelling story with data. **What we can do for you:** At JLL, our purpose is to shape the future of real estate for a better world. We make sure that you become the best version of yourself by helping you realize your full potential in an entrepreneurial and inclusive work environment. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. Apply today! **Location:** On-site –Gurugram, HR **Scheduled Weekly Hours:** 40 If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. _**JLL Privacy Notice**_ Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our [Candidate Privacy Statement](https://www.us.jll.com/en/careers/candidate-privacy-statement). For additional details please see our career site pages for each country. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [_HRSCLeaves @jll.com_](mailto:HRSCLeaves@jll.com). This email is only to request an accommodation. Please direct any other general recruiting inquiries to our [Contact Us](https://www.us.jll.com/en/contact-us) page > I want to work for JLL.", "summaryDescription" : "Senior Specialist - Data Engineering at JLL. Skills: Data Engineering, BI Visualization, Data Modelling, Statistical Modelling. Understand and document business need. 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Partnering with design; Cross-functional teams", "projectManagementSkills" : [ "Sprint planning", "Agile", "DevOps" ], "domainKnowledge" : "Observability; Service level management; Distributed systems; Reliability engineering", "domainList" : [ "observability", "service-level-management", "distributed-systems", "reliability-engineering" ], "domainSpecificKnowledge" : [ "Observability", "Service level management", "Distributed systems", "Reliability engineering" ], "toolProficiency" : [ "DevOps environment" ], "communicationSkills" : "Direct communication; Transparent communication; Effective communication", "continuousLearning" : "Mentorship; Learning resources; Continuous improvement", "innovationCreativity" : "Shaping the future; Innovators; Pioneers", "problemSolvingSkills" : "Identify issues; Understand issues; Tackle issues; Analyze performance", "specialRequirements" : "Criminal background check, Export compliance assessment", "outcomesObjectives" : "Ship features impacting commercial momentum; Deliver next generation service level management", "qualificationsBasic" : "10+ years engineering experience, 2+ years managing engineering teams, Demonstrated experience managing senior individual contributors, Technical foundation in backend systems, Proven track record of delivering complex projects, Experience with performance management, Ability to balance technical debt, feature delivery, and team health tradeoffs, Communication skills", "qualificationsPreferred" : "Experience with React/TypeScript, Experience with full-stack teams, Familiarity with Kafka, Familiarity with GraphQL, Familiarity with distributed data systems, Exposure to AI-assisted development practices, Experience managing teams through significant transitions", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand and tackle issues, analyze performance and get the most of their software and infrastructure. Service Levels is one of New Relic's most commercially critical products — it powers SLO compliance and reliability measurement for thousands of customers. We're looking for an experienced Engineering Manager to lead a senior, high-performing team building the next generation of service level management at scale. You'll lead a team that includes lead-level engineers with deep domain expertise, and your value will come from enabling their best work — not directing it. You'll own delivery, quality, and team health while partnering closely with product and design to ship features that directly impact New Relic's commercial momentum. What you'll do Lead a full-stack engineering team of 6-8 across backend (Java/Spring Boot) and frontend (React/TypeScript) Own end-to-end delivery — sprint planning, execution, quality, and release Set clear expectations, manage performance equitably, and develop engineers at every level Partner with Product Manager and XD to translate requirements into technically sound, deliverable plans Drive architectural discussions and hold the team to engineering excellence standards Identify and remove blockers proactively; surface risks before they become incidents Build a culture of accountability, transparency, and continuous improvement Contribute to hiring — own interview loops, assess technical and leadership fit Mentor and grow engineers toward their next level; build a visible talent pipeline Operate in an agile, DevOps environment — your team owns what they ship This role requires 10+ years engineering experience with 2+ years managing engineering teams Demonstrated experience managing senior individual contributors (P4/Staff level) — coaching, giving feedback, holding the bar Strong technical foundation in backend systems — Java/Spring Boot or equivalent; ability to engage credibly in architecture discussions Proven track record of delivering complex projects on time with high quality Experience with performance management — setting expectations, coaching through gaps, documenting and escalating when needed Ability to balance technical debt, feature delivery, and team health tradeoffs Strong communication skills — direct, transparent, effective with engineers and stakeholders alike Familiarity with modern engineering practices: CI/CD, observability, microservices Bonus points if you have Experience with React/TypeScript or full-stack teams Familiarity with Kafka, GraphQL, or distributed data systems Exposure to AI-assisted development practices (spec-driven dev, Claude Code, Copilot) Experience managing teams through significant transitions (new product area, rapid scaling) Background in observability, SRE, or reliability engineering domains Why Join Us: Be part of a forward-thinking team working with cutting-edge technologies in a collaborative environment. Access to opportunities for professional growth and development, including mentorship, learning resources, and a culture that encourages continuous improvement. We believe in maintaining a healthy work-life balance with flexible work hours and remote work opportunities. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com. We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. New Relic develops and distributes encryption software and technology that complies with U. S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process. Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy", "summaryDescription" : "Manager, Software Engineering (Fullstack Team) at New Relic. Skills: Full-stack development, Engineering management, Observability. Lead a full-stack engineering team. Own end-to-end delivery", "postedDate" : "2026-06-15T23:27:20.411", "createdAt" : "2026-06-15T23:27:20.411", "lastUpdated" : "2026-06-16T08:33:13.975", "ingestTimestamp" : "2026-06-15T23:27:20.411", "mongoId" : "6a305feff292fd229cf833ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance management", "Agile methodologies", "Leadership", "Mentoring", "Full-stack development", "Engineering management", "Observability", "Delivery ownership", "Quality assurance", "Team health management", "Requirement translation", "Architectural discussions", "Risk identification", "Blocker removal", "Hiring", "Interview loops", "Technical assessment", "Leadership assessment", "Talent pipeline development", "Sprint planning", "Agile", "DevOps", "Service level management", "Distributed systems", "Reliability engineering", "DevOps environment" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 754.4833, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176f774d8ee00a0c1b666", "title" : "Data center Engineering Operations Manager, Data center engineering operation", "company" : "ADSIPL", "industry" : "Operations, IT, Support Engineering, Tech Ops Engineering, Cloud Computing", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Data Center Engineering Operations role in Mumbai, India, adjusted for the technology industry and company size." }, "location" : "Mumbai, Maharashtra, IND", "locations" : [ "Mumbai, Maharashtra, IND" ], "timestamp" : "2026-06-16T00:37:33.363", "fingerprint" : "610f113f3fe13862f2795312c8c1cff82445b9cd29c43e2a09337b8547c4d588", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436581/apply", "externalId" : "3539e0e1-2a55-4928-99f2-d0046a2b0901", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mumbai", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "19.0549990,72.8692035" } ], "locationText" : "Mumbai, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "Mechanical, Electrical", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Financial analysis", "Project management" ], "hardSkillsList" : [ "Data center operations", "Critical infrastructure management", "Event management", "Incident management", "Problem management", "Change management", "Cost management", "Contract management", "Relationship management", "Shift management", "Performance benchmarks", "Capacity management", "Plant safety", "Plant reliability", "Plant efficiency", "Routine services", "Emergency services", "Switchgear operation", "Generator operation", "UPS operation" ], "hardSkills" : [ { "name" : "Data center operations", "level" : "intermediate" }, { "name" : "Critical infrastructure management", "level" : "intermediate" }, { "name" : "Event management", "level" : "intermediate" }, { "name" : "Incident management", "level" : "intermediate" }, { "name" : "Problem management", "level" : "intermediate" }, { "name" : "Change management", "level" : "intermediate" }, { "name" : "Cost management", "level" : "intermediate" }, { "name" : "Contract management", "level" : "intermediate" }, { "name" : "Relationship management", "level" : "intermediate" }, { "name" : "Shift management", "level" : "intermediate" }, { "name" : "Performance benchmarks", "level" : "intermediate" }, { "name" : "Capacity management", "level" : "intermediate" }, { "name" : "Plant safety", "level" : "intermediate" }, { "name" : "Plant reliability", "level" : "intermediate" }, { "name" : "Plant efficiency", "level" : "intermediate" }, { "name" : "Routine services", "level" : "intermediate" }, { "name" : "Emergency services", "level" : "intermediate" }, { "name" : "Switchgear operation", "level" : "intermediate" }, { "name" : "Generator operation", "level" : "intermediate" }, { "name" : "UPS operation", "level" : "intermediate" } ], "majorSkills" : "Data center engineering, Operations management, Critical facilities", "majorSkillsList" : [ "Data center engineering", "Operations management", "Critical facilities" ], "coreResponsibilities" : "Manage shift technicians, Manage senior shift technicians, Manage sub-contractors, Manage vendors, Ensure work compliance, Ensure availability zone, Participate in strategic planning, Conduct financial analysis, Contribute to financial decisions, Negotiate contracts, Roll out contracts, Oversee facility build out, Participate in recruiting, Train others, Develop others, Execute vision, Execute goals, Conduct project management, Make business decisions, Set priorities, Develop project plans, Ensure application of best practices, Create work plans, Monitor accomplishments, Contribute to project plan development, Set priorities to meet goals, Demonstrate people management, Demonstrate program management, Maintain effective pace, Get things done, Manage individuals, Manage managers, Insist on highest standards, Drive accountability, Keep others informed, Engender trust, Engender respect, Establish performance benchmarks, Conduct analyses, Prepare reports, Coordinate projects, Manage capacity, Optimize plant safety, Optimize plant performance, Optimize plant reliability, Optimize plant efficiency, Operate routine services, Manage routine services, Operate emergency services, Manage emergency services, Operate critical systems, Manage critical systems", "teamCollaboration" : "Cross-functional teams; Work with IT managers; Work with business leaders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data center operations; Mechanical systems; Electrical systems; Critical facility operations; Critical infrastructure", "domainList" : [ "data-center-operations", "mechanical-systems", "electrical-systems", "critical-facility-operations", "critical-infrastructure" ], "domainSpecificKnowledge" : [ "Data center operations", "Mechanical systems", "Electrical systems", "Critical facility operations", "Critical infrastructure" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Knowledge sharing; Mentorship; Career development", "specialRequirements" : "24x7 on-call, Scheduled weekend work, Managing rotational shift", "qualificationsBasic" : "2+ years people management, 5+ years engineering management, Experience maintaining SLAs", "qualificationsPreferred" : "3+ years management, 5+ years data centers, Bachelor's in Electrical Engineering, Bachelor's in Mechanical Engineering, Knowledge of electrical systems, Knowledge of mechanical systems, Experience with UPS systems, Experience with ATS units, Experience with PDU units, Experience with chillers, Experience with pumps, Experience with air handling units, Experience with CRAC units", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, Infrastructure operations, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon is expanding the Data Center management team in India. This position within Amazon Data Services India Private Limited (ADSIPL) requires broad Data Center knowledge with Subject Matter Expertise (SME) in as many specific fields as possible. The location for this job to be discussed, as there may be opportunities in several India locations. This position serves as the primary operational resource to support ADSIPL within its owned and operated Data Centers in India. This position will provide a central point of ownership and accountability for the overall ‘hands-on’ management of the Mechanical, Electrical (M&E) and across ADSIPL’s portfolio of Data Centers in India. This position will be responsible for the overall operation and maintenance of the critical infrastructure supporting IT operations within the Indian Data Center space. It will also include event management, incident management, problem management, change management, and cost/contract management. In addition, this will include the relationship management with the landlords, critical facility vendors, Data Center Construction team, Data Center Operations team, Technical Program Managers, Security team, and Logistics team in India. The position will require 24x7 on-call, scheduled weekend work support and managing rotational shift. Key job responsibilities Responsible for the on-site management of shift technicians, senior shift technicians, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures. · Has primary responsibility for availability zone of Data Centers (2-4 locations) · Participates in strategic planning projects. · Conducts financial analysis and contributes to financial decisions. · Typically manages 5 or more direct reports. · Negotiates and rolls out contracts and space. · May oversee the build out of Facility-specific infrastructure in existing locations. · Participates in recruiting efforts. Continually raises the bar. · Is active in the training and/or development of others. · Executes vision and goals for the team or department. · Will conduct Project Management for multiple sites · May participate in training of staff. · Draws from a deep group or department level understanding to make business decisions. · Uses business knowledge to set priorities and develop project plans. · Has a deep understanding of best practices in their area of expertise and ensures their application. · Strong verbal and written communication skills. · Strong attention to detail and organizational skills. · Able to prioritize in complex, fast-paced environment. · Creates work plans and monitors accomplishments. · Will contribute to the development of the project plan for the business group. · Effectively sets priorities to meet goals on budget and on time. · Demonstrates strong people/program management skills. · Is resourceful, maintains effective pace and gets things done. · May manage individuals and/or other managers in remote locations. · Insists on the highest standards from self and others. Drives accountability for results. · Keeps others informed of information that contributes to the performance of the team, department or company. · Engenders trust and respect in all working relationships. · Establish performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. · Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency. · Operate and manage both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, computer room air handlers, building monitoring systems, etc. · May assist in the design and build out of new facilities. · May assist in projects to increase current facility efficiency. · Responsible for asset and inventory management. · Assist in recruiting efforts. · Deliver quality service and ensure all customer demands are met. About the team About AWS Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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. 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and 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. Basic Qualifications: - 2+ years of people management and team development experience - 5+ years of engineering work managing large-scale services experience - Experience in people management and team development - Experience in engineering work, managing large-scale services - Experience maintaining SLAs through the implementation of proactive issue detection and reporting Preferred Qualifications: - 3+ years of work in a management position with 5 or more direct reports experience - 5+ years of work in data centers with an emphasis on building and equipment operation experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience in a management position with 5 or more direct reports - Experience working in data centers with an emphasis on building and equipment operation 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" : "Data center Engineering Operations Manager, Data center engineering operation at ADSIPL. Skills: Data center engineering, Operations management, Critical facilities. Manage shift technicians. Manage senior shift technicians", "postedDate" : "2026-06-14T20:20:51.725", "createdAt" : "2026-06-14T20:20:51.725", "lastUpdated" : "2026-06-16T00:37:33.363", "ingestTimestamp" : "2026-06-14T20:20:51.725", "mongoId" : "6a2176f774d8ee00a0c1b666", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436581/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data center operations", "Critical infrastructure management", "Event management", "Incident management", "Problem management", "Change management", "Cost management", "Contract management", "Relationship management", "Shift management", "Performance benchmarks", "Capacity management", "Plant safety", "Plant reliability", "Plant efficiency", "Routine services", "Emergency services", "Switchgear operation", "Generator operation", "UPS operation", "Data center engineering", "Operations management", "Critical facilities", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Financial analysis", "Project management", "Mechanical systems", "Electrical systems", "Critical facility operations", "Critical infrastructure" ], "skillCount" : 36, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 750.19653, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6931903470f0b99d58087a9a", "title" : "Software Development Manager, Business Data Technologies", "company" : "Amazon.com Services LLC", "industry" : "Software Development, ecp", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:09:44.324", "fingerprint" : "ee53f6472f5f2235cf9f5aa03bdf8c7778ae37fb58c80663b312e36581623752", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136688/apply", "externalId" : "b34ea45d-301e-42b7-9309-4efd66a79e00", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, Data Engineering, DevOps, Cloud", "professionalSkills" : [ "Business strategy", "Technical vision", "Data curation" ], "hardSkillsList" : [ "AI development", "Distributed systems", "Data problems" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Data problems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI-first solutions, Data analytics, Distributed AI", "majorSkillsList" : [ "AI-first solutions", "Data analytics", "Distributed AI" ], "coreResponsibilities" : "Lead engineering team, Design data problems, Develop AI solutions, Cultivate engineering excellence, Provide technical vision, Mentor engineers, Define vision and strategy, Manage agile development, Stay up to date on AI, Leverage AI tools", "teamCollaboration" : "Senior leadership; Business stakeholders; Engineering teams", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Business analytics; AI development; Distributed systems", "domainList" : [ "business-analytics", "ai-development", "distributed-systems" ], "domainSpecificKnowledge" : [ "Business analytics", "AI development", "Distributed systems" ], "continuousLearning" : "Continuous learning", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Solving complex problems", "outcomesObjectives" : "Deliver excellent results; Accelerate data discovery; Transform data usage", "qualificationsBasic" : "3+ years engineering team management, 7+ years working in engineering teams, 3+ years designing or architecting systems, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting and hiring engineers, Experience mentoring and coaching engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience, serving millions of customer page views and orders per day. As an organization within eCF, the Business Data Technology (BDT) group is no exception. BDT organization is at the center of Amazon’s data-driven culture, with responsibility for the business analytics platform, providing data and data curation capabilities to thousands of internal and external customers worldwide. BDT is building multiple AI-first solutions to accelerate the discovery and usability of data across Amazon. We are looking for an innovative engineering manager to own, build, and grow multiple AI-based solutions to transform how data is used across the company. In this role, you will grow and lead a team that will design, develop, test, and operate large scale distributed AI solutions that fulfill critical business functions with impact across Amazon. As a member of the BDT leadership team you will help set and meet goals and you will shape our long term technical and business strategy. In this strategic, high-visibility role you will lead your team of high performing engineers to build, scale, monitor, and optimize the software solutions you will develop and own. We are looking for a hands-on SDM with an established background in developing high volume and highly available services, strong technical ability, great communication skills, experienced with the modern AI development tools/paradigms and a motivation to achieve results in a dynamic, fast-paced environment. Key job responsibilities Your day-to-day responsibilities: - Lead/Build a best-in-class engineering team that delivers excellent results through rapid iterations - Design and develop state-of-the-art approaches to solving complex and ambiguous data problems - Cultivate engineering and operational excellence through metrics and continuous learning - Provide thought leadership and establish technical vision for the team - Mentor and grow high performing SDEs to take on increasingly higher responsibilities - Think big and work with Senior leadership, business stakeholders and engineering teams to define vision, strategy and requirements. - Manage the agile development process and methodology to deliver tech requirements on time and with a high-degree of precision. - Stay up to date on the latest capabilities developed in the AI space - Leverage AI tools, methods, techniques to accelerate the deliverables of your team while maintaining a high quality bar Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Manager, Business Data Technologies at Amazon.com Services LLC. Skills: AI-first solutions, Data analytics, Distributed AI. Lead engineering team. Design data problems", "postedDate" : "2026-06-13T15:59:34.180", "createdAt" : "2026-06-13T15:59:34.180", "lastUpdated" : "2026-06-15T02:09:44.324", "ingestTimestamp" : "2026-06-13T15:59:34.180", "mongoId" : "6931903470f0b99d58087a9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136688/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "AI development", "Distributed systems", "Data problems", "Leadership", "Mentoring", "AI-first solutions", "Data analytics", "Distributed AI", "Business strategy", "Technical vision", "Data curation", "Agile development", "Business analytics" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 746.32605, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a308778f292fd229c0893ea", "title" : "Site Reliability Engineering Manager (Data Infra)", "company" : "ComplyAdvantage", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Lisbon, Portugal, adjusted for the FinTech industry and company size." }, "location" : "Lisbon, Portugal", "locations" : [ "Lisbon", "Portugal" ], "timestamp" : "2026-06-16T10:34:49.144", "fingerprint" : "bb75d675fecf5a0633722f9f8992e0ac0e7606d30e9d3a0d0c2a1f175c597128", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://complyadvantage.com/careers/jobs/8592099002?gh_jid=8592099002", "externalId" : "8592099002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisbon", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisbon, Portugal", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Postgres, Kafka, Strimzi, Elasticsearch, ECK, Redis, Spark, GCP, AWS, Kubernetes, Terraform, Helm, GitOps, ArgoCD, Istio, Grafana Cloud, Mimir, Open Telemetry", "professionalSkills" : [ "System design", "Technical decision-making", "Stakeholder management" ], "hardSkillsList" : [ "Incident management", "Automation", "Observability", "System performance", "Platform reliability", "Scalability", "Infrastructure provisioning", "Service support", "Data warehousing", "Cloud infrastructure", "Application performance" ], "softSkillsList" : [ "Leadership", "Mentoring", "Coaching" ], "hardSkills" : [ { "name" : "Incident management", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "Platform reliability", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Service support", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "Application performance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Coaching" } ], "majorSkills" : "Site Reliability Engineering, Data Infrastructure, Cloud Native, Kubernetes", "majorSkillsList" : [ "Site Reliability Engineering", "Data Infrastructure", "Cloud Native", "Kubernetes" ], "coreResponsibilities" : "Lead and empower SRE team, Ensure platforms are resilient, Ensure platforms are scalable, Ensure platforms are secure, Shape reliability strategy, Improve system performance, Embed observability best practices, Embed incident management best practices, Embed automation best practices, Support delivery of solutions, Manage team growth and development, Hire new team members, Onboard new team members, Create positive team environment, Mentor team members, Coach team members, Set direction for team, Take accountability for tech decisions, Input into technical decision-making, Ensure systems meet customer needs, Ensure services meet customer needs, Ensure team implementation meets standards, Provision stateful technologies, Support stateful technologies, Provision data layer technologies, Support data layer technologies, Manage development environments, Manage production environments", "teamCollaboration" : "Partner with Engineering; Partner with Product; Partner with Security; Work with stakeholders; Collaborate across tribe; Cross-functional teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Financial crime; Cloud native architectures; Kubernetes-focused stack; Multi-cloud design; GitOps paradigms; Stateful technologies; Data layer technologies; Microservices architectures", "domainList" : [ "financial-crime", "cloud-native-architectures", "kubernetes-focused-stack", "multi-cloud-design", "gitops-paradigms", "stateful-technologies", "data-layer-technologies", "microservices-architectures" ], "domainSpecificKnowledge" : [ "Financial crime", "Cloud native architectures", "Kubernetes-focused stack", "Multi-cloud design", "GitOps paradigms", "Stateful technologies", "Data layer technologies", "Microservices architectures" ], "toolProficiency" : [ "Terraform", "Helm", "GitOps", "ArgoCD", "Istio", "Grafana Cloud", "Mimir" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical writing", "continuousLearning" : "Learning mindset; Annual learning budget", "innovationCreativity" : "Deliver innovations", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Experience managing engineering teams, Experience with Kubernetes, Experience with Terraform, Experience hosting microservices, Experience with cloud native architectures, Good communication skills, Good writing skills", "qualificationsPreferred" : "Startup/scale-up experience, Experience managing observability platforms, Experience managing pipeline tools, AWS experience preferred, GCP experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a driven and experienced Site Reliability Engineering Manager to join our innovative Tech Team. You will lead and empower a team of SREs, partnering closely with Engineering, Product, and Security to ensure our platforms are resilient, scalable, and secure. You will play a key role in shaping reliability strategy, improving system performance, and embedding best practices in observability, incident management, and automation to support the delivery of high-impact solutions in the fight against financial crime. As a Site Reliability Engineering (SRE) Manager, you will: Take ownership of your team, being responsible for current team members’ growth and development, plus hiring and onboarding new team members Create a positive environment where your team members thrive to deliver the best outcomes and innovations Be a role model for your team, mentoring and coaching them, whilst having a learning mindset yourself, being open to new ideas and technologies Within the context of our broader technology vision, set the direction for your team and take accountability for tech decisions Use your specific experience working with cloud systems to input into technical decision-making Work with other stakeholders across engineering to ensure the systems and services your team provides meet the needs of your internal customers Collaborate, both within your team and across the tribe to ensure your team’s implementation meets industry standards The role reports to the Director of Infrastructure. You’ll be managing a team of Engineers focused on the provision and support of our Stateful / Data layer technologies powering all of our services, both in development and production. The main technologies we use are YugaByte (sharded Postgres), Kafka (via Strimzi), Elasticsearch (via ECK), Redis and Spark/data warehousing on GCP and AWS using their PaaS systems. As the technology stack underpins all other engineering work, a collaborative mindset is a must. Our tech stack: ComplyAdvantage is fully cloud-based, with a modern kubernetes-focused tech stack. All compute workloads run in Kubernetes, with clusters in multiple regions to support the needs of our global client base. Our production services are multi-cloud by design and are currently hosted in AWS and GCP. We make heavy use of Terraform and Helm to define our infrastructure and services, and lean heavily on GitOps paradigms - production and non-production environments are defined in git and changes to these environments (both cloud infrastructure and Kubernetes applications) are managed via git. ArgoCD is our tool of choice for controlling our deployments, and paired with our Istio mesh, allows us for advanced deployment patterns used by our development teams such a progressive rollouts. Our observability stack consists of Grafana Cloud, along with some on-prem Mimir, amongst others. We focus on Open Telemetry for application metrics, with SLO and metric driven alerting at all levels, from Cloud infra through to application performance. Across the wider Technology team, teams build and release containerised applications to support the wide array of activities that our teams are engaged in - from developing low latency client-facing APIs, to machine learning models and data processing pipelines. About you: As an Site Reliability Engineering (SRE) Manager, you will Have experience of managing and growing high performing engineering teams Have experience with Kubernetes and Terraform Have experience hosting microservices-based architectures Have experience of working with cloud native architectures (AWS and GCP are preferred) Have good communication and writing skills including experience writing technical documentation Nice to haves: Experience of working in a start-up/ scale-up environment Have experience managing observability platforms, whether self-hosted or third party - eg Grafana stack, Datadog, NewRelic Have experience managing pipeline tools, whether self-hosted or third party - eg CircleCI, ArgoCD, Harness, etc Benefits: Equity participation in our innovative mission to combat financial crime Unlimited Time Off Policy to promote work-life balance and well-being We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships Opportunities for collaboration and career development with smart, like-minded professionals Annual learning budget to support professional growth A home office budget to support working from home Enhanced parental leave and childcare benefits Life insurance and medical coverage through BUPA, including pre-existing conditions Pension contribution through The People's Pension About us: Our mission is to empower every business to eliminate financial crime. By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust. More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff. ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.", "summaryDescription" : "Site Reliability Engineering Manager (Data Infra) at ComplyAdvantage. Skills: Site Reliability Engineering, Data Infrastructure, Cloud Native, Kubernetes. Lead and empower SRE team. Ensure platforms are resilient", "postedDate" : "2026-06-16T01:21:47.322", "createdAt" : "2026-06-16T01:21:47.322", "lastUpdated" : "2026-06-16T10:34:49.144", "ingestTimestamp" : "2026-06-16T01:21:47.322", "mongoId" : "6a308778f292fd229c0893ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Incident management", "Automation", "Observability", "System performance", "Platform reliability", "Scalability", "Infrastructure provisioning", "Service support", "Data warehousing", "Cloud infrastructure", "Application performance", "Leadership", "Mentoring", "Coaching", "Site Reliability Engineering", "Data Infrastructure", "Cloud Native", "Kubernetes", "System design", "Technical decision-making", "Stakeholder management", "Agile", "Scrum", "Financial crime", "Cloud native architectures", "Kubernetes-focused stack", "Multi-cloud design", "GitOps paradigms", "Stateful technologies", "Data layer technologies", "Microservices architectures", "Terraform", "Helm", "GitOps", "ArgoCD", "Istio", "Grafana Cloud", "Mimir" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 740.91895, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1d370f0b99d58d66677", "title" : "Data Center Security Specialist, APJC ASSET Team", "company" : "ADSIPL", "industry" : "Investigation Loss Prevention, Data Center Security, no business category", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Center Security Specialist in Mumbai, India, adjusted for mid-seniority and technology industry." }, "location" : "Mumbai, Maharashtra, IND", "locations" : [ "Mumbai, Maharashtra, IND" ], "timestamp" : "2026-06-16T02:59:49.311", "fingerprint" : "1555f8bd4461a564ff37d3dca985e10cb8d20f1571a13054df32a2ea5a17e866", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103976/apply", "externalId" : "0e766ef2-b781-4db1-8f9b-82459155dd2b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mumbai", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "19.0549990,72.8692035" } ], "locationText" : "Mumbai, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Physical security operations", "Access control" ], "hardSkills" : [ { "name" : "Physical security operations", "level" : "intermediate" }, { "name" : "Access control", "level" : "intermediate" } ], "majorSkills" : "Data Center Security, Security Operations, Vendor Management, Metrics Analysis", "majorSkillsList" : [ "Data Center Security", "Security Operations", "Vendor Management", "Metrics Analysis" ], "coreResponsibilities" : "Interface with vendors for repairs, Assist in mobilizing vendors, Provide access control support, Observe physical security anomalies, Report physical security anomalies, Observe security incidents, Report security incidents, Observe policy breaches, Report policy breaches, Coordinate contract guard force, Oversee vendor deliverables, Track vendor service delivery, Request corrective actions from vendors, Foster relationships to educate stakeholders, Extract security metrics, Drive improvements through data analysis, Verify Data Center security programs, Deliver security programs to standards, Draft reports on physical security, Prepare presentations on physical security, Collaborate with security managers, Write security processes, Implement security processes, Serve as customer advocate, Identify security opportunities, Craft innovative security solutions", "teamCollaboration" : "Cross-functional collaboration; Collaboration with Security Managers; Collaboration with vendors", "domainKnowledge" : "Physical security operations; Access control", "domainList" : [ "physical-security-operations", "access-control" ], "domainSpecificKnowledge" : [ "Physical security operations", "Access control" ], "communicationSkills" : "Report writing; Presentation preparation", "documentationSkills" : "Draft reports; Prepare presentations; Write security processes; Implement security processes", "innovationCreativity" : "Craft innovative solutions", "problemSolvingSkills" : "Data analysis; Root cause analysis", "specialRequirements" : "Control room environment, Shift rotation schedule", "outcomesObjectives" : "Achieve financial targets; Improve operational security; Reduce alarm incidents; Meet global security standards", "qualificationsBasic" : "Diploma or Bachelor's degree, Standards-based professional work environment experience, Basic physical security operations knowledge, Access control knowledge", "qualificationsPreferred" : "Business level English, 1+ years incident response experience, 1+ years incident management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) serves customers and developers who rely on storage, compute, and our other service capabilities. Our customers trust us to handle their data with air-tight security measures, which is something that we guarantee. We are looking for a Data Center Security Specialist to join our Control Center team. The Data Center Security Specialist role may encompass oversight of contract employee deliverables and collaboration with Security Managers in order to devise security strategies, achieve financial targets, and to improve the overall operational security within our Data Centers. They will report to the NTE Security Ops Regional Mgr. This position will be based in a control room environment and following a shift rotation schedule. Key job responsibilities • Interface with and assist in mobilizing vendors involved in system repairs • Provide access control management support to internal and external customers. • Observe and report physical security system anomalies. • Observe and report security incidents and policy breaches. • Coordinate the activities of a professional contract guard force • Oversee individual security vendor deliverables, track service delivery and request corrective actions from vendors as needed • Foster working relationships to educate stakeholders on alarm reductions. • Extract security metrics, observe and drive improvements through the analysis of data • Verify Data Center security programs are delivered to meet defined global security standards • Draft reports and prepare presentations on the status of physical security operations • Collaborate with security managers in writing and implementing security processes and procedures • Serve as a customer advocate by identifying security-related opportunities and crafting innovative solutions that maintain high security standards About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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. 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. 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 conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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. Basic Qualifications: - Bachelor's degree or equivalent i.e Diploma Experience of working in standards-based professional work environment. • Basic knowledge of physical security operations in access control. Preferred Qualifications: - Read, write, and speak business level English language • Good report writing skills • 1+ years of incident response & management experience 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 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. 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Non-technical audiences; Senior leadership", "projectManagementSkills" : [ "Project management", "Roadmap planning" ], "domainKnowledge" : "Data security; Data governance; Access controls; Data lake; Analytic environment", "domainList" : [ "data-security", "data-governance", "access-controls", "data-lake", "analytic-environment" ], "domainSpecificKnowledge" : [ "Data security", "Data governance", "Access controls", "Data lake", "Analytic environment" ], "communicationSkills" : "Technical communication; Non-technical communication", "innovationCreativity" : "Innovative products", "problemSolvingSkills" : "Ambiguous technical environments", "outcomesObjectives" : "Improve security posture; Improve compliance posture; Protect every query", "qualificationsBasic" : "7+ years engineering experience, 3+ years engineering management, 8+ years leading web services, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting and hiring, Experience mentoring and coaching", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Andes Data Security team is looking for an exceptional leader to define and lead the next generation of solutions to further improve our security and compliance posture of the data. We are looking for someone who is passionate about building great products, has a strong track record of success, and is excited to join our team of talented engineers. As a Software Development Manager, you will lead a team of engineers in the design, development, deployment, and operation of products large scale applications. You will build solutions that further the capability of fine-grained access controls features for the largest data lake in Amazon. Your product will protect every single query that gets executed in Amazon’s analytic environment. To be successful in this role, you will need to have: * A strong track record of building and leading high-performing teams * A deep understanding of software development principles and practices * Excellent project management skills * Excellent communication skills * A passion for delivering innovative and user-friendly products. If you are a highly motivated and experienced software development manager with a passion for delivering amazing reading experiences, we encourage you to apply. Key job responsibilities In this role, you will be responsible for: * Building, maintaining, and organizing your team * Defining your technical strategy and product roadmap * Defining, measuring, and reporting on your key performance and operational excellence metrics * Recruiting and retaining top talent * Driving clarity in highly ambiguous technical environments * Developing long-term technical roadmaps * Guiding and coaching developers * Managing projects effectively * Communicating effectively with both technical and non-technical audiences * Motivating your team to achieve results in a fast-paced environment A day in the life A day in the life of this role would be a good mix of managing multiple programs, focus on long term, managing operational health of systems and making high impact decisions. About the team We're building the next generation of data governance self-service policy management, identity-aware access controls, and systems that scale to hundreds of thousands of datasets. If you like designing abstractions that are simple for users but robust under the hood, and you want your work to matter at Amazon scale, come build with us. Basic Qualifications: - 7+ years of engineering experience - 3+ years of engineering team management experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Manager, Business Data Technologies at ADCI. Skills: Data security, Access controls, Data governance. Build team. 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Collaborating with engineers; Collaborating with product managers; Engaging with cross-functional teams", "projectManagementSkills" : [ "Agile methodologies", "Traditional methodologies" ], "domainKnowledge" : "Database technologies; Payment platforms; Foreign exchange; Complex systems", "domainList" : [ "database-technologies", "payment-platforms", "foreign-exchange", "complex-systems" ], "domainSpecificKnowledge" : [ "Database technologies", "Payment platforms", "Foreign exchange", "Complex systems" ], "toolProficiency" : [ "Ansible", "Packer", "GitHub Actions", "Terraform", "Docker", "Kubernetes", "Temporal", "Cadence", "AWS Step Functions" ], "communicationSkills" : "Presenting to organisation; Articulate complex concepts", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Solid background in development, Python or Java ecosystems, High coding standards, Thorough understanding of system design, Expertise in cloud services, Platform engineering skills, Knowledge of SQL, Knowledge of NoSQL database technologies, Understanding of high availability, Understanding of scalability, Understanding of security, Experience creating culture of operational excellence, Knowledge of leading service reliability engineering team", "qualificationsPreferred" : "Experience with configuration management, Experience with CI/CD, Experience with Infrastructure as Code, Experience with containers, Experience with container orchestration, Experience with job orchestration, Experience with workflow orchestration solutions, Customer empathy drives decisions, Knowledge of payment platforms, Knowledge of foreign exchange, Knowledge of highly complex systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). About the team: Database Reliability Engineering team! For our customers, using Wise is as simple as sending money from A to B. Yet behind our app and website is a complex engine of currencies, routes, products and features, generating terabytes of data each day. Database Reliability Engineering is at the core and provides databases as service for the rest of the business, working with the Database Platform team to manage our vast estate of database technologies and solutions. As an Engineering Lead in the wider Platform tribe and Engineering organisation, you will have an opportunity to directly affect database technologies and automation strategy, scalability and reliability, building production systems that are ultimately making things better for all customers. What you will be working on? * You will be responsible for the well-being of the team, coaching, mentoring and growing a high-performing team in bringing value by working on high-impact solutions. * You will support the team with occasional hands-on involvement as a software engineer and systems operator, bringing senior engineering expertise into building solutions. * You’ll be collaborating with other leads, engineers, product managers in the wider organisation. * Exactly what you’ll be doing day to day will vary, as our team looks at the big picture challenges we see across all of analytics, engineering and business! What will you be working on? * You are a strong leader, experienced in problem-solving and guiding engineering teams through the complexities of project delivery using both agile and traditional methodologies. * You’re an excellent communicator, engaging effectively with cross-functional teams to achieve goals, and are capable of presenting to the wider organisation when necessary. * You're comfortable taking ownership of vendor negotiations and explaining costs to the business What do you need? * You have a solid background in development, ideally within the Python or Java ecosystems, upholding high coding standards and a thorough understanding of system design and engineering principles. * You have expertise in leveraging cloud services from providers like AWS or GCP, and have used your platform engineering skills to develop robust, scalable, and efficient infrastructure. * You have strong knowledge of SQL and/or NoSQL database technologies and have a comprehensive understanding of key concepts such as high availability, scalability, and security. * You will not settle for unexplained downtime and outages and do not want to solve the same problems repeatedly. * You have the experience of creating a culture of operational excellence. * You have knowledge of and/or experience in leading a service reliability engineering team. Nice to Have: * Passionate about technology and its relationship with product and user experience. * You are a security and privacy advocate, understanding concepts such as principle of least privilege, and are able to apply basic security principles at infrastructure and application level. * Experience with configuration management (Ansible, Packer), CI/CD (GitHub Actions), Infrastructure as Code (Terraform), containers (Docker), container and job orchestration (Kubernetes). * Experience of workflow orchestration solutions such as Temporal, Cadence, or AWS step functions would be a major bonus. * Customer is at the heart of everything you do and this empathy drives all decisions you make. * Ability to articulate complex and technical concepts to non-technical audiences. * Knowledge/interest in payment platforms, foreign exchange & highly complex systems. * Be a customer of Wise. Interested? Find out more: * [How we work – a practical guide](https://wise.jobs/how-we-work) * [DEI @ Wise](https://wise.jobs/diversity-equity-and-inclusion) * [Wise Tech Stack (2025 update)](https://medium.com/wise-engineering/wise-tech-stack-2025-update-d0e63fe718c7) * [See what it's like to work at Wise London!](https://www.youtube.com/watch?v=XNMeFMoqBEA&feature=youtu.be) * [Our Engineering career map](https://wise.jobs/engineering-career-map) * Wise Engineering –[ https://medium.com/wise-engineering](https://medium.com/wise-engineering) What do we offer: * Starting salary: £135,000 - £175,000 + RSU * [Wise Benefits](https://wise.jobs/what-we-offer) #LI-AB3 #LI-Hybrid ## Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/). Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).", "summaryDescription" : "Sr Engineering Team Lead - Data at Wise. Skills: Data Engineering, Database Reliability, Platform Engineering, Service Reliability. Coach and mentor team. 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In your day to day, you will act as a strategic, technical contributor who can bridge the gap between compliance requirements and modern automation tools (like Claude and Workato) to make our team more impactful. You will partner directly with GRC and Internal Audit teams to manage workloads and automate manual processes: helping build and maintain AI-driven agent workflows to streamline repeatable processes and controls, facilitating continuous monitoring for our control environment, and supporting technical implementations of controls, such as for new cloud environments or new AI initiatives. Values-in-action: Our customers are our true north. Our GRC Specialist, Automation & Technology will enhance customer trust and accelerate sales pipelines by engineering automated, always-audit-ready environments for critical frameworks. This is a hybrid role based in our New York City office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team. The GRC Specialist, Automation & Technology at Collibra is responsible for Collaborating with the GRC and Internal Audit teams to architect and deploy AI agentic capabilities, such as multi-step Claude workflows, Workato recipes, and autonomous control monitoring processes in order to eliminate repeatable manual GRC overhead and streamline evidence validation. Engineering continuous control monitoring pipelines and real-time control checks for our key security frameworks in order to shift Collibra from point-in-time sampling to an always-audit-ready risk posture. Supporting the technical GRC infrastructure integration of new cloud environments into our control framework starting in Q3. Facilitating automated governance guardrails and continuous monitoring systems for our expanding portfolio (i. e. AIUC-1) in order to maintain ongoing compliance. Partnering closely with Internal Audit and GRC colleagues to evaluate manual processes and controls and leverage orchestration and automation platforms in order to maximize the strategic efficiency and impact of our risk mitigation practices. Helping design automated key risk indicator (KRI) and key performance indicator (KPI) reporting to senior management. Administering the day-to-day functions of Collibra’s GRC platforms and tools (i. e. Optro) to maintain a reliable source of truth. You have 3+ years of experience in a technical compliance role, IT internal audit, or GRC environment, ideally within an enterprise SaaS platform. Experience building workflow automations using industry standard platforms (e.g., Workato, Claude, or native GRC platform automation engines). Hands-on experience reviewing or auditing cloud environments (Cloud infrastructure, IAM, and native logging systems) and AI programs. One or more current qualifications is nice-to-have: CISA, CRISC, CISSP, CIA, CPA, or relevant cloud/automation certifications (e.g., Azure, AWS, GCP, Workato). A bachelor’s degree or equivalent related working experience is required. This position is not eligible for visa sponsorship. You are Passionate about automation and efficiency, with a strong interest in leveraging AI and orchestration tools to optimize risk practices. Knowledgeable about information security fundamentals, cloud compliance principles, and the core mechanics of continuous control monitoring. Familiar with performing control testing or supporting technology audits, with some exposure to cloud environments (AWS/GCP/Azure) and enterprise ecosystems. Familiar with common control frameworks, specifically ISO 27001, ISO 42001, NIST AI, SOC 2, gained through direct support of an audit or compliance program. Familiarity with AIUC-1 is nice to have. Ability to translate manual compliance workflows into structured logic and discuss technical automation requirements clearly with stakeholders. Strong problem-solving and analytical skills to proactively identify repeatable day-to-day bottlenecks and design automated, sustainable solutions. Measures of success Within your first month, you will begin building relationships within the GRC and Internal Audit teams, gain a thorough understanding of Collibra’s GRC tooling and Claude automation workflows, and align on the roadmap for cloud environment onboarding. Within your third month, you will be helping design and maintaining your first AI-driven workflows to automate repeatable day-to-day tasks like user access recertifications and training escalations, while supporting the technical onboarding of new cloud environments into our control framework. Within your sixth month, you will help the team achieve control compliance for in-scope systems and infrastructure, establish automated continuous control monitoring pipelines for Collibra’s ISO framework, and begin designing workflows to support Collibra’s expanding AIUC-1 program. Compensation for this role The standard base salary range for this position is $88,000.00 - $110,000.00 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location. In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more. Benefits at Collibra Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits. We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra. At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone. With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.", "summaryDescription" : "GRC Specialist, Automation & Technology at Collibra", "postedDate" : "2026-06-15T23:15:49.850", "createdAt" : "2026-06-15T23:15:49.850", "lastUpdated" : "2026-06-16T09:03:00.311", "ingestTimestamp" : "2026-06-15T23:15:49.850", "mongoId" : "6a30518ff292fd229cf0227f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 164500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 733.49347, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb00c74d8ee00a09d8a1d", "title" : "Marketing Technology Manager", "company" : "Hostinger", "industry" : "Marketing", "salary" : { "min" : 3500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T04:53:41.725", "fingerprint" : "8157ac80c683f3a81b8bd8ec51dcbe7098b6d946a69421f331f7aa8f6cd20bb8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hostinger/499a7bc1-a9dd-403b-b127-4f2007554e9b/application", "externalId" : "499a7bc1-a9dd-403b-b127-4f2007554e9b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "HubSpot, CRM, AI, Automation, Tableau, BI tools, N8n, Claude", "professionalSkills" : [ "Process improvement", "Data analysis", "Technical solutions", "Business needs translation", "Reporting needs translation", "Data health monitoring" ], "hardSkillsList" : [ "UTM governance", "Coupon tracking" ], "hardSkills" : [ { "name" : "UTM governance", "level" : "intermediate" }, { "name" : "Coupon tracking", "level" : "intermediate" } ], "majorSkills" : "Marketing technology, MarTech stack optimization, Marketing automation, Data analytics", "majorSkillsList" : [ "Marketing technology", "MarTech stack optimization", "Marketing automation", "Data analytics" ], "coreResponsibilities" : "Identify opportunities to improve marketing processes, Challenge existing workflows, Spot inefficiencies, Bring forward ideas for automation, Work with marketing teams on CRM adoption, Solve day-to-day bottlenecks, Act as point of contact between Marketing and, Translate marketing needs into briefs, See initiatives through from idea to implementation, Act as marketing-side point of contact for tracking, Bridge between campaign needs and Tracking Team, Ensure new channels are set up correctly, Act as technical liaison between Marketing and Data/Analytics/Product, Translate business questions into data requirements, Be power user of AI powered analytics platform, Self-serve reporting, Deep-dive analysis, Dashboard creation, Reduce dependency on Data Analytics team, Translate marketing reporting needs into briefs, Review outputs for accuracy, Ensure outputs reflect business questions, Manage MarTech stack, Optimize MarTech stack, Configure tools to support business goals, Monitor marketing data health, Flag anomalies, Flag performance drops, Flag tracking gaps, Loop in right people for resolution, Document technical processes, Document data definitions, Document tooling decisions", "teamCollaboration" : "Marketing teams; Automations team; Tracking Team; Data Analytics teams; Product teams", "domainKnowledge" : "Marketing operations; MarTech stack; Performance marketing; Data warehouses; Marketing data models; AI analytics platform", "domainList" : [ "marketing-operations", "martech-stack", "performance-marketing", "data-warehouses", "marketing-data-models", "ai-analytics-platform" ], "domainSpecificKnowledge" : [ "Marketing operations", "MarTech stack", "Performance marketing", "Data warehouses", "Marketing data models", "AI analytics platform" ], "toolProficiency" : [ "HubSpot", "Tableau", "N8n", "Claude" ], "communicationSkills" : "Translate business questions; Translate data requirements", "documentationSkills" : "Document technical processes; Document data definitions; Document tooling decisions", "continuousLearning" : "Limitless learning opportunities; Reforge access; Coach Hub access; Global conferences; Digital libraries; Feedback culture; Mentoring through TesoXchange; Internal mobility", "innovationCreativity" : "Find smarter ways to solve problems; Bring forward concrete ideas", "problemSolvingSkills" : "Solve problems through automation; Optimize MarTech stack; Remove bottlenecks; Improve decision-making; Spot inefficiencies; Solve day-to-day bottlenecks; Flag anomalies; Flag performance drops; Flag tracking gaps", "outcomesObjectives" : "Improve marketing processes; Optimize MarTech stack; Enable teams to get more value from data; Turn business needs into scalable technical solutions; Remove bottlenecks; Improve decision-making; Help Marketing move faster and more efficiently; Reduce dependency on Data Analytics team for routine requests; Reduce dependency on Data Analytics team for ad-hoc requests; Ensure tools are configured to support business goals", "qualificationsBasic" : "HubSpot or comparable CRM experience, Marketing tracking and attribution understanding, Performance marketing tracking setups familiarity, Data warehouses and marketing data models understanding, Tableau or comparable BI tools functional level, Automation and AI tools practical knowledge, AI and automation curious mindset", "qualificationsPreferred" : "Hands-on implementation experience a plus, Hands-on build experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MARKETING TECHNOLOGY MANAGER Join Hostinger, and we’ll grow fast! \uD83D\uDE80 We’re shaping the future of online success - powered by AI and driven by people. With 900+ talented professionals and over 4 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before. Our mission: To provide tools that help individuals and small businesses succeed online faster and easier. Our culture: Guided by 10 company principles https://www.hostinger.com/principles Our formula for success: Customer obsession, innovative products, and talented teams. YOUR ROLE AT HOSTINGER As a Marketing Technology Manager in the Marketing Operations team, you’ll help shape how Marketing works by finding smarter ways to solve problems through automation, AI, data, and technology. You’ll be responsible for improving marketing processes, optimizing our MarTech stack, enabling teams to get more value from data, and turning business needs into scalable technical solutions. In this role, you’ll work closely with Marketing, Automations, Tracking, Data Analytics, and Product teams to remove bottlenecks, improve decision-making, and help Marketing move faster and more efficiently. Curious to learn more? Connect with your team: Goda Bražaitė-Šulženko, Marketing Operations Manager https://www.linkedin.com/in/goda-bra%C5%BEait%C4%97-%C5%A1ul%C5%BEenko/ YOUR DAY-TO-DAY - Continuously identify opportunities to improve marketing processes through automation and AI - challenge existing workflows, spot inefficiencies, and bring forward concrete ideas for what could be automated or optimized - Work with marketing teams on CRM and other tools adoption & solving day-to-day bottlenecks - Act as the primary point of contact between Marketing and the internal Automations team - translate marketing needs into actionable briefs and see initiatives through from idea to implementation - Act as the marketing-side point of contact for tracking questions - bridging between campaign needs and the Tracking Team to ensure new channels and initiatives are set up correctly from the start - Act as the primary technical liaison between Marketing and Data/Analytics/Product teams, translating business questions into data requirements and vice versa - Be the power user of the internal AI powered analytics platform - proactively find ways to self-serve reporting, deep-dive analysis, and dashboard creation, reducing dependency on the Data Analytics team for routine and ad-hoc requests - Translate marketing reporting needs into clear briefs for the Data Analytics team where self-service isn't sufficient; review outputs for accuracy and ensure they reflect actual business questions - Manage and optimize the MarTech stack, including HubSpot and connected integrations, ensuring tools are configured to support business goals - not just kept running - Monitor marketing data health proactively - flag anomalies, performance drops, or tracking gaps and loop in the right people for resolution - Document technical processes, data definitions, and tooling decisions to create institutional knowledge the team can rely on YOUR SKILLS AND EXPERIENCE - Experience with HubSpot or a comparable CRM - configuration, data model, and integrations, as well as day-to-day use - Solid understanding of marketing tracking and attribution - enough to collaborate effectively with a dedicated Tracking Team Lead, define marketing requirements, and QA outputs; hands-on implementation experience a strong plus - Familiarity with performance marketing tracking setups - paid search, paid social, affiliate & influencer tracking - including UTM governance, coupon tracking, etc. - Understanding of how data warehouses and marketing data models work - enough to prompt an AI analytics platform intelligently and sanity-check outputs against other data sources - Comfortable working with Tableau or comparable BI tools at a functional level - able to interpret dashboards, identify what's missing, and communicate requirements to a data analytics team where self-service falls short - Practical knowledge of automation and AI tools - n8n, Claude, or similar; enough to evaluate what's possible, challenge current processes, and brief an internal automations team effectively; hands-on build experience a strong plus - Curious and proactive mindset around AI and automation - stays current with what's emerging, brings ideas unprompted, and thinks in systems rather than one-off fixes - Comfortable operating without heavy oversight - identifies problems before being asked and prioritizes with business goals in mind BENEFITS FOR YOU \uD83D\uDE80 360 Growth: We provide limitless learning opportunities: access to platforms like Reforge and Coach Hub, global conferences, physical and digital libraries, feedback culture, and mentoring through TesoXchange. Advance your career with internal mobility and grow with a team eager to share knowledge and support your success. \uD83C\uDFAF Freedom & responsibility: Work on your terms: from modern offices in Kaunas and Vilnius, the comfort of home, or anywhere in the world. Enjoy flexibility in managing your schedule and bring your ideas to life in a fast-paced, dynamic environment. \uD83D\uDCAAWellness simplified: Your health comes first with insurance from Day 1, gym memberships, recharge leave, Headspace subscriptions, and regular health checks. Join our wellbeing-dedicated events, sports, arts, and hobby clubs, or simply enjoy the balance of a lifestyle that prioritizes wellness. \uD83C\uDF89 Work hard – play hard: Celebrate your achievements with company events like Summerfest & Winterfest, Town Hall, Meet the Client initiatives, team-buildings, and workations. Enjoy access to the Žalgiris Arena VIP Lounge and celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations. COMPENSATION We’re offering a salary starting from €3,500 gross/month, with the final amount based on your experience and expertise. Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey \uD83D\uDE80 Three. Two. Onboard", "summaryDescription" : "Marketing Technology Manager at Hostinger. Skills: Marketing technology, MarTech stack optimization, Marketing automation, Data analytics. Identify opportunities to improve marketing processes. 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: "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a5dea74d8ee00a061abc7", "title" : "Manager, Data Specialist", "company" : "Pfizer", "industry" : "Pharmaceutical", "salary" : { "min" : 99200.0, "max" : 99200.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-12T17:53:02.271", "fingerprint" : "95b84ed9b38e163fe861405286760e25ca1e7099d1ee782737fc3f4dd955bb32", "source" : "workday", "language" : "en", "applyUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Manager--Data-Specialist_4958889-1", "externalId" : "4958889", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, ETL, ELT", "professionalSkills" : [ "Data engineering", "Data product management", "Business analysis", "Stakeholder management", "Requirements translation", "Data governance", "AI/ML enablement" ], "hardSkillsList" : [ "Data modeling", "Data quality" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data product management, AI/ML enablement", "majorSkillsList" : [ "Data engineering", "Data product management", "AI/ML enablement" ], "coreResponsibilities" : "Engage with commercial business stakeholders, Elicit, clarify, and document data and analytics requirements, Decompose business needs into data engineering work items, Define data product specifications, Define pipeline specifications, Define transformation logic, Define acceptance criteria, Facilitate working sessions between business users and engineering, Align on scope, timelines, and technical feasibility, Serve as primary point of contact for data-related, Triage requests, Ensure efficient backlog management, Author detailed data product specifications, Map source-to-target, Document business rules, Document data dictionaries, Document field-level definitions, Define and document data quality expectations, Define and document validation rules, Define and document SLA requirements, Maintain and improve data documentation artifacts, Support self-service discovery, Support AI-readiness, Partner with data architects, Ensure data products align with enterprise semantic layer, Optimize data products for downstream consumption, Translate prioritized business requirements into user stories, Translate prioritized business requirements into epics, Translate prioritized business requirements into technical tasks, Refine tickets, Clarify ambiguities, Provide domain context, Track progress of data engineering deliverables, Identify blockers, Communicate status and impacts to business stakeholders, Validate delivered data products against requirements, Coordinate user acceptance testing, Champion data quality, Define data quality metrics, Monitor data quality metrics, Communicate data quality metrics, Ensure data products adhere to privacy standards, Ensure data products adhere to regulatory standards, Ensure data products adhere to data stewardship standards, Identify data lineage, Document data lineage, Identify data ownership, Document data ownership, Identify data usage policies, Document data usage policies, Understand data requirements of AI/ML use cases, Support data requirements for advanced analytics use cases, Support feature engineering inputs, Support model training datasets, Support inferencing pipelines, Coordinate with data scientists and ML engineers, Ensure data products are structured, enriched, and accessible, Optimize data products for model development and deployment, Contribute to continuous improvement of data standards, Ensure commercial AI initiatives are built on a", "teamCollaboration" : "Business stakeholders; Data engineering team; Commercial analytics teams; AI/ML teams; Data architects; Data governance teams; Compliance teams; Data scientists; ML engineers; Business users; Engineering teams", "projectManagementSkills" : [ "Agile", "Scrum", "Backlog management" ], "domainKnowledge" : "Commercial pharma data; IQVIA; Symphony Health; Veeva CRM; Patient claims data; HCP/HCO affiliation data; Data warehousing architectures; Lakehouse architectures; Data pipeline development; Data modeling; Data quality frameworks; Commercial pharma; Sales operations; Privacy standards; Regulatory standards; Data stewardship standards", "domainList" : [ "commercial-pharma-data", "iqvia", "symphony-health", "veeva-crm", "patient-claims-data", "hcp-hco-affiliation-data", "data-warehousing-architectures", "lakehouse-architectures", "data-pipeline-development", "data-modeling", "data-quality-frameworks", "commercial-pharma", "sales-operations", "privacy-standards", "regulatory-standards", "data-stewardship-standards" ], "domainSpecificKnowledge" : [ "Commercial pharma data", "IQVIA", "Symphony Health", "Veeva CRM", "Patient claims data", "HCP/HCO affiliation data", "Data warehousing architectures", "Lakehouse architectures", "Data pipeline development", "Data modeling", "Data quality frameworks", "Commercial pharma", "Sales operations", "Privacy standards", "Regulatory standards", "Data stewardship standards" ], "toolProficiency" : [ "Jira", "Confluence" ], "communicationSkills" : "Written communication; Verbal communication; Non-technical communication", "documentationSkills" : "Data product specifications; Data dictionaries; Field-level definitions; Data lineage; Data ownership; Data usage policies", "specialRequirements" : "Permanent work authorization in the United States", "qualificationsBasic" : "Bachelor's degree with at least 4 years of experience, Master's degree with at least 2 years of experience, PhD with 0+ years of experience, Associate's degree with 8 years of experience, High school diploma and 10 years of relevant experience, Experience in a data-focused role, Translating business requirements into technical specifications, Experience in the pharmaceutical, biotech, or life sciences industry, Familiarity with commercial pharma data sources, Working knowledge of relational data concepts, Working knowledge of SQL, Working knowledge of data warehousing/lakehouse architectures, Familiarity with data pipeline development concepts, Familiarity with data modeling, Familiarity with data quality frameworks, Experience working within an Agile/Scrum delivery, Written and verbal communication skills", "qualificationsPreferred" : "Bachelor's degree in a quantitative, analytical, or business discipline", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**ROLE SUMMARY** The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial operations. AIA works in tight collaboration with various Pfizer functions to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes. The **Manager, Data Specialist** will serve as a critical bridge between business stakeholders and the data engineering team. This role will be responsible for deeply understanding commercial business processes, translating complex analytical and AI/ML requirements into actionable data engineering specifications, and ensuring the delivery of high-quality, governed data products that power commercial insights and AI-driven decision-making. The **Manager, Data Specialist** will partner closely with business translators, commercial analytics leads, data scientists, and AI/ML engineers to define data needs, validate data availability, and ensure that the data engineering team is building solutions that are fit for purpose, well-documented, and aligned to enterprise data governance standards. **ROLE RESPONSIBILITIES** **Requirements Translation & Stakeholder Partnership** * Engage directly with commercial business stakeholders—including Brand, Sales Operations, Market Access, Content Generation, and Medical —to elicit, clarify, and document data and analytics requirements. * Decompose high-level business needs into structured data engineering work items including data product definitions, pipeline specifications, transformation logic, and acceptance criteria. * Facilitate working sessions between business users and engineering teams to align on scope, timelines, and technical feasibility. * Serve as the primary point of contact for data-related inquiries from commercial analytics and AI/ML teams, triaging requests and ensuring efficient backlog management. **Data Product Definition & Documentation** * Author detailed data product specifications including source-to-target mappings, business rules, data dictionaries, and field-level definitions. * Define and document data quality expectations, validation rules, and SLA requirements in collaboration with data engineering and governance teams. * Maintain and continuously improve data documentation artifacts within the enterprise data catalog to support self-service discovery and AI-readiness. * Partner with data architects to ensure proposed data products align with the enterprise semantic layer and are optimized for downstream AI/ML and analytics consumption. **Data Engineering Backlog Management** * Translate prioritized business requirements into well-defined user stories, epics, and technical tasks within the data engineering development backlog. * Collaborate with data engineers to refine tickets, clarify ambiguities, and provide domain context that enables efficient, high-quality delivery. * Track progress of data engineering deliverables, identify blockers, and communicate status and impacts to business stakeholders in a clear, non-technical manner. * Validate delivered data products against requirements and coordinate user acceptance testing with business teams prior to production release. **Data Quality & Governance** * Champion data quality by defining, monitoring, and communicating metrics that measure the reliability, completeness, and timeliness of commercial data assets. * Work with data governance and compliance teams to ensure data products adhere to applicable privacy, regulatory, and data stewardship standards relevant to commercial pharma (e.g., IQVIA, CRM, HCP/HCO data). * Identify and document data lineage, ownership, and usage policies for commercial data domains. **AI & Analytics Enablement** * Understand and support the data requirements of AI/ML and advanced analytics use cases, including feature engineering inputs, model training datasets, and inferencing pipelines. * Coordinate with data scientists and ML engineers to ensure data products are structured, enriched, and accessible in formats optimized for model development and deployment. * Contribute to the continuous improvement of data standards that ensure commercial AI initiatives are built on a trusted, governed data foundation. **Basic Qualifications** * Applicant must have a bachelor's degree with at least 4 years of experience; OR a master's degree with at least 2 years of experience; OR a PhD with 0+ years of experience; OR as associate's degree with 8 years of experience; OR a high school diploma (or equivalent) and 10 years of relevant experience. * Experience in a data-focused role such as business analyst, data analyst, data product manager, or comparable function within a data-intensive organization. * Demonstrated experience translating business requirements into technical specifications for data engineering or BI/analytics development teams. * Experience in the pharmaceutical, biotech, or life sciences industry, particularly within a commercial analytics or sales operations function. * Familiarity with commercial pharma data sources such as IQVIA (APLD, NPA, NSP), Symphony Health, Veeva CRM, patient claims data, or HCP/HCO affiliation data. * Working knowledge of relational data concepts, SQL, and data warehousing/lakehouse architectures (e.g., Snowflake, Databricks, Redshift). * Familiarity with data pipeline development concepts (ETL/ELT), data modeling, and data quality frameworks. * Experience working within an Agile/Scrum delivery model; proficiency with tools such as Jira, Confluence, or equivalent. * Strong written and verbal communication skills with the ability to interface effectively with both technical and non-technical audiences. **Preferred Qualifications** * Bachelor's degree in a quantitative, analytical, or business discipline (e.g., Data Science, Information Systems, Statistics, Business Analytics). * 5+ years of experience in a data-focused role such as business analyst, data analyst, data product manager, or comparable function within a data-intensive organization. Work Location Assignment: Hybrid The annual base salary for this position ranges from $99,200.00 to $165,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. **Sunshine Act** Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. **EEO & Employment Eligibility** Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make [www.pfizer.com/careers](http://www.pfizer.com/careers) accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [disabilityrecruitment@pfizer.com](mailto:disabilityrecruitment@pfizer.com). This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on [ _Pfizer Careers_](https://www.pfizer.com/about/careers/ai-use-guidelines). Information & Business Tech", "summaryDescription" : "Manager, Data Specialist at Pfizer. Skills: Data engineering, Data product management, AI/ML enablement. Engage with commercial business stakeholders. 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The role is responsible to build data analytical solutions that will address increasingly complex business questions, as an expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports; working on developing solutions that provide some of the unique challenges of space, size and speed; implementing data analytics using cutting edge analytics patterns and technologies that are inclusive of but not limited to various AWS Offerings –Redshift, S3 and RDS.; working with partner teams to create dashboards for our customers. Basic Qualifications: - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. 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" : "Data Engineer -1 Year Contract, ATE Data Engineering Team at Amazon (China) Holding Company Limited. Skills: Data engineering, ETL pipelines, Data modeling. Build data analytical solutions. 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Skills: product vision, roadmaps, Data Engineering. 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including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting. Key job responsibilities - On-site management of facility managers, chief engineers, shift technicians, senior shift technicians, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures. - Primary responsibility for availability zone of Data Centers (2-4 locations). - Participates in strategic planning projects. - Conducts financial analysis and contributes to financial decisions. - Typically manages 5 or more direct reports, manager of managers. - Negotiates and rolls out contracts and space. - Oversee the build out of facility-specific infrastructure in existing locations. - Participates in recruiting efforts. - Training and development of staff. - Executes vision and goals for the team or department. - Conduct Project Management for multiple sites. - Creates work plans and sets priorities to meet goals on budget and on time - Prepare reports on all aspects of the critical facility operations and maintenance. - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency. - Operate and manage both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - May assist in the design and build out of new facilities and projects to increase current facility efficiency. - Responsible for asset and inventory management. - Assist in recruiting efforts - Deliver quality service and ensure all customer demands are met. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Experience in people management and team development - Experience in engineering work, managing large-scale services - Experience maintaining SLAs through the implementation of proactive issue detection and reporting - Experience operating a mission-critical team or product - High school or equivalent - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field Preferred Qualifications: - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience in a management position with 5 or more direct reports - Experience working in data centers with an emphasis on building and equipment operation Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data Center Engineering Operations Area Manager, Data Center Engineering Operations at Amazon Data Services Ireland Limited. Skills: Data center operations, Infrastructure management, Team leadership. Manage facility managers. 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performance, Ensure Redshift cost efficiency, Ensure Redshift availability, Ensure Redshift scalability, Own data pipelines for AI tools, Ensure reliable data flows, Ensure high-quality data flows, Drive data engineering for applications, Establish data governance standards, Enforce data governance standards, Establish data quality standards, Enforce data quality standards, Establish data reliability standards, Enforce data reliability standards, Implement monitoring, Implement alerting, Implement SLAs, Implement data quality frameworks, Partner cross-functionally, Translate business requirements, Design scalable data architecture, Design pipeline solutions, Represent data engineering in forums, Contribute to annual planning, Contribute to QBRs, Contribute to roadmap reviews, Communicate trade-offs, Communicate capacity constraints, Communicate investment needs, Drive operational excellence, Own on-call processes, Manage incident response, Manage COE follow-ups, Improve operational posture", "teamCollaboration" : "Product managers; Data scientists; Analytics; BI engineers; Software engineers; Content programmers; Marketing strategists; Senior leadership", "projectManagementSkills" : [ "Roadmap planning", "Annual planning", "QBRs" ], "domainKnowledge" : "Prime Video; Audience Insights; Streaming services; Content programming; Marketing optimization; Audience growth; AI Tooling; Automation; Audience Infrastructure; Customer journey; Marketplace intelligence; Competitive intelligence; Digital creative production; Ad serving; Cross-channel attribution; Media analytics", "domainList" : [ "prime-video", "audience-insights", "streaming-services", "content-programming", "marketing-optimization", "audience-growth", "ai-tooling", "automation", "audience-infrastructure", "customer-journey", "marketplace-intelligence", "competitive-intelligence", "digital-creative-production", "ad-serving", "cross-channel-attribution", "media-analytics" ], "domainSpecificKnowledge" : [ "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Marketing optimization", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics" ], "toolProficiency" : [ "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On-call processes", "qualificationsBasic" : "7+ years data engineering experience, Experience managing data/BI team, 5+ years processing data with massively parallel technology, 3+ years developing/operating large-scale data structures for BI analytics, Experience leading/influencing data/BI strategy, Experience communicating to senior management, Experience communicating to customers, Experience in scripting or programming language", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools, Experience working with Data & AI technologies, Knowledge of digital creative production, Knowledge of ad serving, Knowledge of cross-channel attribution, Knowledge of media analytics, Experience developing cloud native CI/CD workflows", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming across thousands of devices, from award-winning Amazon MGM Studios originals to live sports, channels, and TVOD. Behind the content our customers love is a team shaping what gets released, when, and for whom. The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions, audience growth, and marketing optimizations. We’re looking for a Data Engineering Manager to lead the Data Engineering function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s north star (long-term strategy, priority audiences, and growth objectives) and delivers the customer intelligence, analytics, and AI-powered solutions that enable the organization to achieve them. You’ll lead a team of senior data engineers and own the data infrastructure, pipelines, and platform capabilities that power our analytics, AI tools, and business-critical applications. Your team’s work directly enables content programming, marketing optimization, and audience strategy for one of the world’s largest streaming services. This requires you to balance competing priorities, manage complex stakeholder relationships, and work shoulder-to-shoulder with product managers, data scientists, and analytics to deliver scalable data solutions at pace. Key job responsibilities • Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities. • Own the data platform strategy and roadmap for the team’s portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders. • Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines. • Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation. • Drive data engineering for business-critical applications, including dashboards and other internal self developed software products. • Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team’s data assets. • Partner cross-functionally with product managers, data scientists, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions. • Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership. • Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team’s operational posture. About the team The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Business Planning, Product-Tech, Analytics, Data Science, Data Engineering, and Research. Our stakeholders span content programming, content acquisition, marketing, and PV senior leadership. Our 2026 roadmap is anchored in two investment themes (AI Tooling & Automation and Audience Infrastructure & Insights) spanning content optimization, experimentation, marketing, customer journey, marketplace, and competitive intelligence. Our products serve content programmers, marketing strategists, and senior leadership. We build tools that help PV decide what to release, when to release it, who to target, and how to measure success at scale. Basic Qualifications: - 7+ years of data engineering experience - Experience managing a data or BI team - 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - Experience leading and influencing the data or BI strategy of your team or organization - Experience communicating to senior management and customers verbally and in writing - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - Knowledge of digital creative production, ad serving, cross-channel attribution, and media analytics - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab 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, Culver City - 170,000.00 - 230,000.00 USD annually USA, WA, SEATTLE - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Data Engineering Manager, Planning and Audience Insights at Amazon.com Services LLC. Skills: Data Engineering, AI/ML, Data Platform, Team Leadership. Lead and develop senior data engineers. Hire senior data engineers", "postedDate" : "2026-06-13T10:46:12.112", "createdAt" : "2026-06-13T10:46:12.112", "lastUpdated" : "2026-06-15T03:17:28.355", "ingestTimestamp" : "2026-06-13T10:46:12.112", "mongoId" : "6a25145a74d8ee00a00bb4fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441155/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement", "Leadership", "Mentoring", "Data Engineering", "AI/ML", "Data Platform", "Team Leadership", "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions", "Roadmap planning", "Annual planning", "QBRs", "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics", "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "skillCount" : 56, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 725.03534, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a30511af292fd229cefa6f6", "title" : "Sr. Recruiting Manager, Engineering & Data", "industry" : "Recruiting", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Recruiting Manager in Canada, adjusted for manager seniority and the technology industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T12:32:44.182", "fingerprint" : "d3632910088436f74348075f6fd33abd898bdb881d8d47e9807d1a0f5a5442cf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9b468b42-efb8-4e01-9dbb-94c2a9f29e64/apply", "externalId" : "9b468b42-efb8-4e01-9dbb-94c2a9f29e64", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "professionalSkills" : [ "Talent acquisition", "Pipeline development", "Offer strategy", "Negotiation", "Stakeholder management" ], "hardSkillsList" : [ "Full-cycle recruiting", "Technical recruiting", "Data recruiting", "Recruiting analytics", "Funnel metrics", "Hiring frameworks", "Recruiting process design", "Offer negotiation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Full-cycle recruiting", "level" : "intermediate" }, { "name" : "Technical recruiting", "level" : "intermediate" }, { "name" : "Data recruiting", "level" : "intermediate" }, { "name" : "Recruiting analytics", "level" : "intermediate" }, { "name" : "Funnel metrics", "level" : "intermediate" }, { "name" : "Hiring frameworks", "level" : "intermediate" }, { "name" : "Recruiting process design", "level" : "intermediate" }, { "name" : "Offer negotiation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Engineering recruiting, Data recruiting, Recruiter management, Hiring strategy", "majorSkillsList" : [ "Engineering recruiting", "Data recruiting", "Recruiter management", "Hiring strategy" ], "coreResponsibilities" : "Own end-to-end recruiting, Manage full lifecycle recruiting, Manage and develop Senior Recruiter, Maintain personal requisition ownership, Build hiring strategies, Execute hiring strategies, Develop proactive pipeline, Partner with leadership, Align on hiring needs, Influence hiring decisions, Ensure hiring process quality, Use recruiting analytics, Use funnel metrics, Use hiring outcomes, Identify bottlenecks, Diagnose recruiting issues, Implement process improvements, Lead offer strategy, Lead negotiation processes, Advise on market trends, Advise on compensation", "teamCollaboration" : "Partner with Engineering leadership; Partner with Data leadership; Align across teams", "domainKnowledge" : "Engineering roles; Data roles; Technical roles; Senior technical talent; Competitive markets", "domainList" : [ "engineering-roles", "data-roles", "technical-roles", "senior-technical-talent", "competitive-markets" ], "domainSpecificKnowledge" : [ "Engineering roles", "Data roles", "Technical roles", "Senior technical talent", "Competitive markets" ], "toolProficiency" : [ "AI recruiting tools" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Professional development support; Learning support; Skill advancement support", "problemSolvingSkills" : "Identify bottlenecks; Diagnose issues; Implement improvements", "outcomesObjectives" : "Improve sourcing efficiency; Improve screening efficiency; Improve evaluation efficiency", "qualificationsBasic" : "8+ years full-cycle recruiting, 2+ years managing recruiters, Partner with senior technical leaders, Structured interviewing expertise, Manage complex negotiations, Analytical mindset, Hands-on AI tools experience, Excellent communication skills, Stakeholder management skills", "qualificationsPreferred" : "Experience with AI tools in recruiting", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own end-to-end recruiting for Engineering and Data roles, managing the full lifecycle from intake through offer closure across multiple seniority levels. Act as a player-coach by directly managing and developing a Senior Recruiter while maintaining personal requisition ownership. Build and execute long-term hiring strategies, including proactive pipeline development for senior and hard-to-fill technical roles. Partner closely with Engineering and Data leadership to align on hiring needs, influence decisions, and ensure hiring process quality and consistency. Use recruiting analytics, funnel metrics, and hiring outcomes to identify bottlenecks, diagnose issues, and implement process improvements. Lead offer strategy and negotiation processes, advising stakeholders on market trends and competitive compensation positioning. Contribute to the adoption of AI-driven recruiting tools and methodologies to improve sourcing, screening, and evaluation efficiency. Requirements: 8+ years of full-cycle recruiting experience, with significant focus on Engineering and/or Data hiring. 2+ years of experience managing recruiters, including coaching, performance management, and workload prioritization. Proven success partnering with senior technical leaders and influencing hiring strategy through data and market insights. Strong expertise in structured interviewing, hiring frameworks, and end-to-end recruiting process design. Demonstrated ability to manage complex negotiations and close senior technical talent in competitive markets. Strong analytical mindset with experience using recruiting metrics to drive measurable improvements. Hands-on experience using AI tools within recruiting workflows, with a clear understanding of where they create leverage. Excellent communication and stakeholder management skills, with the ability to drive alignment across technical and non-technical teams. Benefits: Competitive salary range aligned to Canadian and North American tech markets, with variation based on location and experience. Comprehensive health coverage including medical, dental, and vision benefits. Equity participation as part of the overall compensation package. Flexible work arrangements supporting remote-first or hybrid collaboration models. Performance-based bonus opportunities tied to individual and company outcomes. Strong emphasis on work-life balance, including flexible vacation policies. Support for professional development, learning, and skill advancement. Inclusive, collaborative environment with a strong focus on accessibility and equal opportunity hiring. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Sr. Recruiting Manager, Engineering & Data. Skills: Engineering recruiting, Data recruiting, Recruiter management, Hiring strategy. Own end-to-end recruiting. Manage full lifecycle recruiting", "postedDate" : "2026-06-15T08:04:33.983", "createdAt" : "2026-06-15T08:04:33.983", "lastUpdated" : "2026-06-16T12:32:44.182", "ingestTimestamp" : "2026-06-16T03:25:46.227", "mongoId" : "6a30511af292fd229cefa6f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Full-cycle recruiting", "Technical recruiting", "Data recruiting", "Recruiting analytics", "Funnel metrics", "Hiring frameworks", "Recruiting process design", "Offer negotiation", "Leadership", "Engineering recruiting", "Recruiter management", "Hiring strategy", "Talent acquisition", "Pipeline development", "Offer strategy", "Negotiation", "Stakeholder management", "Engineering roles", "Data roles", "Technical roles", "Senior technical talent", "Competitive markets", "AI recruiting tools" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 721.8872, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca05474d8ee00a09a1e59", "title" : "Data Annotation Specialist", "company" : "Saronic Technologies", "industry" : "Software", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Data Annotation Specialist in Austin, United States, adjusted for the technology industry and contract employment type." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-16T02:28:21.795", "fingerprint" : "86d6befb0b593bae139fe66e3e03918ebb395121850177663e1c5ae2e77a5e83", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/saronic/f418b71d-d2e1-49e3-9a54-b41a2c5f5e97/application", "externalId" : "f418b71d-d2e1-49e3-9a54-b41a2c5f5e97", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "CONTRACT", "technicalSkills" : "Computer vision", "hardSkillsList" : [ "Data annotation", "Image annotation", "Video annotation", "Sensor data annotation", "Object identification", "Quality review", "Labeling guidelines" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Image annotation", "level" : "intermediate" }, { "name" : "Video annotation", "level" : "intermediate" }, { "name" : "Sensor data annotation", "level" : "intermediate" }, { "name" : "Object identification", "level" : "intermediate" }, { "name" : "Quality review", "level" : "intermediate" }, { "name" : "Labeling guidelines", "level" : "intermediate" } ], "majorSkills" : "Data annotation, Computer vision", "majorSkillsList" : [ "Data annotation", "Computer vision" ], "coreResponsibilities" : "Annotate visual datasets, Review visual datasets, Train machine-learning models, Evaluate machine-learning models, Annotate image data, Annotate video data, Annotate infrared data, Annotate sensor data, Identify vessels, Identify objects, Identify environmental features, Maintain accuracy, Maintain consistency, Maintain productivity, Apply labeling guidelines, Escalate unclear edge cases, Perform manual annotation, Review auto-labeled data, Support priority project deadlines", "teamCollaboration" : "Support technical team", "domainKnowledge" : "Maritime autonomy; Maritime perception", "domainList" : [ "maritime-autonomy", "maritime-perception" ], "domainSpecificKnowledge" : [ "Maritime autonomy", "Maritime perception" ], "toolProficiency" : [ "Labelbox", "CVAT" ], "qualificationsBasic" : "Prior experience in computer vision data annotation, Familiarity with annotation tools, Experience with annotation types, Visual pattern recognition, Spatial reasoning, Attention to detail, Comfortable performing repetitive work, Able to adapt to changing priorities, Communication skills, Willingness to ask questions, Willingness to accept feedback, Willingness to collaborate with the team", "qualificationsPreferred" : "Basic understanding of maritime environments, Basic understanding of autonomous systems, Basic understanding of robotics, Basic understanding of defense technology", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. JOB OVERVIEW We are seeking a Data Annotation Specialist to annotate and review visual datasets used to train and evaluate machine-learning models for maritime perception and autonomy. This role supports our software, perception, and autonomy teams by ensuring labeled data is accurate, consistent, and useful for model development. The ideal candidate has prior computer vision annotation experience, strong visual attention to detail, and the ability to maintain speed and accuracy through repetitive labeling work. This person should be comfortable following detailed instructions, adapting as labeling rules change, and supporting a fast-moving technical team. This is an on-site, full-time contract role with an intended path to full-time conversion based on performance and business needs. Upon conversion, the employee would be eligible for Saronic’s standard full-time benefits. This position reports to the Data Annotation Manager. RESPONSIBILITIES - Annotate and review large volumes of image, video, infrared, and other sensor data using computer vision labeling methods. - Identify vessels, objects, environmental features, and other elements relevant to maritime autonomy. - Maintain accuracy, consistency, and productivity across repetitive, detail-heavy datasets. - Apply evolving labeling guidelines and escalate unclear edge cases when needed. - Perform both manual annotation work and quality review of auto-labeled data as needed. - Willingness to support priority project deadlines when needed. QUALIFICATIONS - Prior experience in computer vision data annotation or labeling. - Familiarity with annotation tools such as Labelbox, CVAT, or similar - Experience with annotation types such as segmentation masks, bounding boxes, key points, object tracking, or classification. - Strong visual pattern recognition, spatial reasoning, and attention to detail. - Comfortable performing repetitive, process-driven work for extended periods while maintaining quality. - Able to adapt to changing project priorities, labeling rules, and quality standards in a fast-paced environment. - Strong communication skills and willingness to ask questions, accept feedback, and collaborate with the team. - Basic understanding of maritime environments, autonomous systems, robotics, or defense technology is a plus. Saronic CCPA Notice for Candidates and California Employees https://saronic-assets-public.s3.us-east-2.amazonaws.com/Saronic%20CCPA%20Notice%20for%20Candidates%20and%20California%20Employees.pdf If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Data Annotation Specialist at Saronic Technologies. Skills: Data annotation, Computer vision. Annotate visual datasets. Review visual datasets", "createdAt" : "2026-06-14T18:14:23.473", "lastUpdated" : "2026-06-16T02:28:21.795", "ingestTimestamp" : "2026-06-14T18:14:23.473", "mongoId" : "6a2ca05474d8ee00a09a1e59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Image annotation", "Video annotation", "Sensor data annotation", "Object identification", "Quality review", "Labeling guidelines", "Computer vision", "Maritime autonomy", "Maritime perception", "Labelbox", "CVAT" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 721.43384, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a889bc74574cbbb5194", "title" : "Data center Engineering Operations Facility Manager, Data center engineering operation", "company" : "ADSIPL", "industry" : "Operations, IT, Support Engineering, Tech Ops Engineering, Cloud Computing", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager-level Data Center Engineering Operations Facility Manager in Mumbai, India, within the Technology industry, adjusted for seniority and company size." }, "location" : "Mumbai, Maharashtra, IND", "locations" : [ "Mumbai, Maharashtra, IND" ], "timestamp" : "2026-06-15T06:32:50.509", "fingerprint" : "f9deca206271144961a1d9bb05cc285dfbac8afea000c5abee545d5112c021ad", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199084/apply", "externalId" : "80a5d9e2-1ef4-4837-b21d-cd638b2c69ac", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mumbai", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "19.0549990,72.8692035" } ], "locationText" : "Mumbai, Maharashtra, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "Mechanical, Electrical", "professionalSkills" : [ "Data Center knowledge", "Facility management", "Infrastructure operations", "Supply chain", "Project management" ], "hardSkillsList" : [ "Financial analysis", "Contract negotiation", "Asset management", "Inventory management" ], "softSkillsList" : [ "Leadership", "Accountability", "Trust", "Respect" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Contract negotiation", "level" : "intermediate" }, { "name" : "Asset management", "level" : "intermediate" }, { "name" : "Inventory management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Accountability" }, { "name" : "Trust" }, { "name" : "Respect" } ], "majorSkills" : "Data Center Operations, Critical infrastructure management, Team leadership", "majorSkillsList" : [ "Data Center Operations", "Critical infrastructure management", "Team leadership" ], "coreResponsibilities" : "Manage shift engineers, Manage senior shift technicians, Manage chief engineer, Manage sub-contractors, Manage vendors, Ensure work compliance, Ensure availability zone, Participate in strategic planning, Conduct financial analysis, Contribute to financial decisions, Negotiate contracts, Roll out contracts, Oversee build out, Participate in recruiting, Develop others, Execute vision, Execute goals, Conduct Project Management, Participate in training staff, Make business decisions, Set priorities, Develop project plans, Ensure application of best practices, Create work plans, Monitor accomplishments, Contribute to project plan development, Set priorities to meet goals, Insist on highest standards, Drive accountability, Keep others informed, Engender trust, Engender respect, Establish performance benchmarks, Conduct analyses, Prepare reports, Coordinate projects, Manage capacity, Optimize plant safety, Optimize performance, Optimize reliability, Optimize efficiency, Operate critical systems, Manage critical systems, Assist in design, Assist in build out, Assist in projects, Deliver quality service, Ensure customer demands met", "teamCollaboration" : "Cross-functional teams; Work with IT managers; Work with business leaders", "projectManagementSkills" : [ "Project Management" ], "domainKnowledge" : "Data Center; Mechanical systems; Electrical systems; Critical facility operations; Switchgear; Generators; UPS systems; Power distribution; Chillers; Air handlers; Building monitoring systems", "domainList" : [ "data-center", "mechanical-systems", "electrical-systems", "critical-facility-operations", "switchgear", "generators", "ups-systems", "power-distribution", "chillers", "air-handlers", "building-monitoring-systems" ], "domainSpecificKnowledge" : [ "Data Center", "Mechanical systems", "Electrical systems", "Critical facility operations", "Switchgear", "Generators", "UPS systems", "Power distribution", "Chillers", "Air handlers", "Building monitoring systems" ], "communicationSkills" : "Verbal communication; Written communication", "specialRequirements" : "24x7 on-call, Scheduled weekend work, Managing rotational shift", "qualificationsBasic" : "10+ years relevant engineering experience, 3+ years building technical teams, High degree of organization, Excellent written and verbal communications skills, Proven track record of success, Prior ownership of mission-critical operations, Ability to deliver results, An engineering degree or equivalent, 2+ years people management, 5+ years engineering work managing services, Experience in people management, Experience in engineering work, Experience maintaining SLAs", "qualificationsPreferred" : "6+ years experience, 3+ years management position, 5+ years data center experience, Knowledge of electrical and mechanical systems, Experience in management position with 5+ direct reports", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, Infrastructure operations, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon is expanding the Data Center management team in India. This position within Amazon Data Services India Private Limited (ADSIPL) requires broad Data Center knowledge with Subject Matter Expertise (SME) in as many specific fields as possible. The location for this job to be discussed, as there may be opportunities in several India locations. This position serves as the primary operational resource to support ADSIPL within its owned and operated Data Centers in India. This position will provide a central point of ownership and accountability for the overall ‘hands-on’ management of the Mechanical, Electrical (M&E) and across ADSIPL’s portfolio of Data Centers in India. This position will be responsible for the overall operation and maintenance of the critical infrastructure supporting IT operations within the Indian Data Center space. It will also include event management, incident management, problem management, change management, and cost/contract management. In addition, this will include the relationship management with the landlords, critical facility vendors, Data Center Construction team, Data Center Operations team, Technical Program Managers, Security team, and Logistics team in India. The position will require 24x7 on-call, scheduled weekend work support and managing rotational shift. RESPONSIBILITIES: Responsible for the on-site management of shift engineers, senior shift technicians, chief engineer,sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures. · Has primary responsibility for availability zone of Data Centers (2-4 locations) · Participates in strategic planning projects. · Conducts financial analysis and contributes to financial decisions. · Typically manages 5 or more direct reports. · Negotiates and rolls out contracts and space. · May oversee the build out of Facility-specific infrastructure in existing locations. · Participates in recruiting efforts. Continually raises the bar. · Is active in the training and/or development of others. · Executes vision and goals for the team or department. · Will conduct Project Management for multiple sites · May participate in training of staff. · Draws from a deep group or department level understanding to make business decisions. · Uses business knowledge to set priorities and develop project plans. · Has a deep understanding of best practices in their area of expertise and ensures their application. · Strong verbal and written communication skills. · Strong attention to detail and organizational skills. · Able to prioritize in complex, fast-paced environment. · Creates work plans and monitors accomplishments. · Will contribute to the development of the project plan for the business group. · Effectively sets priorities to meet goals on budget and on time. · Demonstrates strong people/program management skills. · Is resourceful, maintains effective pace and gets things done. · May manage individuals and/or other managers in remote locations. · Insists on the highest standards from self and others. Drives accountability for results. · Keeps others informed of information that contributes to the performance of the team, department or company. · Engenders trust and respect in all working relationships. · Establish performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. · Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency. · Operate and manage both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, computer room air handlers, building monitoring systems, etc. · May assist in the design and build out of new facilities. · May assist in projects to increase current facility efficiency. · Responsible for asset and inventory management. · Assist in recruiting efforts. · Deliver quality service and ensure all customer demands are met. BASIC QUALIFICATIONS · An engineering degree or equivalent in an Electrical or Mechanical discipline. · 10+ years of relevant engineering experience managing large scale services. · At least 3 years building strong, successful technical teams in a similar culture. · High degree of organization and detail-orientation. · Excellent written and verbal communications skills. · Proven track record of success in delivering complex projects · Prior ownership of the operation of a mission-critical team and/or product · Ability to consistently deliver results despite competing priorities and distractions PREFERRED QUALIFICATIONS · An engineering degree or equivalent in an Electrical or Mechanical discipline. · 6+ years of relevant engineering experience managing large scale services. · At least 3 years building strong, successful technical teams in a similar culture. · High degree of organization and detail-orientation. · Excellent written and verbal communications skills. · Proven track record of success in delivering complex projects. · Prior ownership of the operation of a mission-critical team and/or product. · Ability to consistently deliver results despite competing priorities and distractions. Key job responsibilities Responsible for the on-site management of shift technicians, senior shift technicians, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures. · Has primary responsibility for availability zone of Data Centers (2-4 locations) · Participates in strategic planning projects. · Conducts financial analysis and contributes to financial decisions. · Typically manages 5 or more direct reports. · Negotiates and rolls out contracts and space. · May oversee the build out of Facility-specific infrastructure in existing locations. · Participates in recruiting efforts. Continually raises the bar. · Is active in the training and/or development of others. · Executes vision and goals for the team or department. · Will conduct Project Management for multiple sites · May participate in training of staff. · Draws from a deep group or department level understanding to make business decisions. · Uses business knowledge to set priorities and develop project plans. · Has a deep understanding of best practices in their area of expertise and ensures their application. · Strong verbal and written communication skills. · Strong attention to detail and organizational skills. · Able to prioritize in complex, fast-paced environment. · Creates work plans and monitors accomplishments. · Will contribute to the development of the project plan for the business group. · Effectively sets priorities to meet goals on budget and on time. · Demonstrates strong people/program management skills. · Is resourceful, maintains effective pace and gets things done. · May manage individuals and/or other managers in remote locations. · Insists on the highest standards from self and others. Drives accountability for results. · Keeps others informed of information that contributes to the performance of the team, department or company. · Engenders trust and respect in all working relationships. · Establish performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance. · Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency. · Operate and manage both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, computer room air handlers, building monitoring systems, etc. · May assist in the design and build out of new facilities. · May assist in projects to increase current facility efficiency. · Responsible for asset and inventory management. · Assist in recruiting efforts. · Deliver quality service and ensure all customer demands are met. About the team About AWS Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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. 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and 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. Basic Qualifications: - 2+ years of people management and team development experience - 5+ years of engineering work managing large-scale services experience - Experience in people management and team development - Experience in engineering work, managing large-scale services - Experience maintaining SLAs through the implementation of proactive issue detection and reporting Preferred Qualifications: - 3+ years of work in a management position with 5 or more direct reports experience - 5+ years of work in data centers with an emphasis on building and equipment operation experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience in a management position with 5 or more direct reports - Experience working in data centers with an emphasis on building and equipment operation 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" : "Data center Engineering Operations Facility Manager, Data center engineering operation at ADSIPL. Skills: Data Center Operations, Critical infrastructure management, Team leadership. Manage shift engineers. Manage senior shift technicians", "postedDate" : "2026-06-13T09:27:04.624", "createdAt" : "2026-06-13T09:27:04.624", "lastUpdated" : "2026-06-15T06:32:50.509", "ingestTimestamp" : "2026-06-13T09:27:04.624", "mongoId" : "69c94a889bc74574cbbb5194", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199084/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Financial analysis", "Contract negotiation", "Asset management", "Inventory management", "Leadership", "Accountability", "Trust", "Respect", "Data Center Operations", "Critical infrastructure management", "Team leadership", "Data Center knowledge", "Facility management", "Infrastructure operations", "Supply chain", "Project management", "Project Management", "Data Center", "Mechanical systems", "Electrical systems", "Critical facility operations", "Switchgear", "Generators", "UPS systems", "Power distribution", "Chillers", "Air handlers", "Building monitoring systems" ], "skillCount" : 28, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 719.5252, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 232388, "totalPages" : 4648, "hasNext" : true, "hasPrevious" : false } }

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