{"schemaVersion":"jobsearcher.job.v1","id":"ae5c8a6384b50a5348448540","url":"https://jobsearcher.com/jobs/ae5c8a6384b50a5348448540","canonicalUrl":"https://jobsearcher.com/jobs/ae5c8a6384b50a5348448540","title":"Sr. Manager - Data & AI Support Engineering","description":"As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer‑centric execution.\n\nMission\nLead and scale a world‑class AI‑first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer‑centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise‑scale Data and AI workloads.\n\nBuild AI‑enabled support workflows and reusable automations to improve resolution speed and support quality.\n\nUse Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root‑cause analysis safely.\n\nCreate reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams.\n\nEnsure strong AI governance, customer data safety, validation practices, auditability, and human‑in‑the‑loop controls.\n\nPartner with Engineering and Product teams to drive AI‑first support innovation and operational excellence.\n\nOutcomes\n\nDrive AI‑first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience.\n\nPartner with Engineering and Product teams to operationalize AI‑assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers.\n\nBuild and scale reusable AI‑enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization.\n\nLead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location.\n\nOwn and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality.\n\nAct as a senior escalation point for customers and internal teams while driving operational excellence and process optimization.\n\nLead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads.\n\nConduct regular one‑on‑ones, annual review, and career development discussions with direct reports.\n\nBe a hands‑on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies.\n\nGuide customers on Spark runtime optimization, distributed systems performance, and best practices for scalable Data & AI workloads.\n\nOwn Engineering JIRA escalations and proactively drive faster resolutions for customer‑reported product issues.\n\nMaintain internal operational documentation, runbooks, and customer‑facing knowledge base assets.\n\nCoordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively.\n\nAct as a strong customer advocate and collaborate with cloud partners to support mutual customer success.\n\nParticipate in major incident management, escalation handling, on‑call rotations, and critical production support activities.\n\nWhat we are looking for:\n\n10+ years of experience designing, building, troubleshooting, and supporting large‑scale Data & AI applications using Python, Java, Scala, Spark, or related distributed technologies.\n\nStrong work experience of AI‑enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation frameworks.\n\nProven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus.\n\nExperience using AI tools for troubleshooting, root‑cause analysis, observability analysis, and support workflow acceleration.\n\nStrong hands‑on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems.\n\nExperience leading production‑scale workloads across Big Data, Hadoop, AI/ML, Kafka, Streaming, Data Science, or Analytics platforms.\n\nStrong troubleshooting and performance tuning experience for Spark and JVM‑based distributed systems, including memory management, garbage collection, heap analysis, and thread dump analysis.\n\nHands‑on experience with AWS, Azure, or GCP cloud platforms.\n\nProven experience managing globally distributed technical teams and handling high‑severity customer escalations.\n\nStrong analytical, debugging, problem‑solving, and distributed systems troubleshooting skills.\n\nExcellent written and verbal communication skills with strong customer‑facing leadership abilities.\n\nStrong organizational, multitasking, stakeholder management, and operational leadership capabilities.\n\nBenefits\nAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, please refer to the internal benefits portal.\n\nOur Commitment to Diversity and Inclusion\nAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.\n\nCompliance\nIf access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\n\n#J-18808-Ljbffr","company":"Cacheflow","rawCompany":"cacheflow","city":"Plano","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-06-20T05:07:07.413Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Manager - Data & AI Support Engineering","description":"As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer‑centric execution.\n\nMission\nLead and scale a world‑class AI‑first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer‑centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise‑scale Data and AI workloads.\n\nBuild AI‑enabled support workflows and reusable automations to improve resolution speed and support quality.\n\nUse Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root‑cause analysis safely.\n\nCreate reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams.\n\nEnsure strong AI governance, customer data safety, validation practices, auditability, and human‑in‑the‑loop controls.\n\nPartner with Engineering and Product teams to drive AI‑first support innovation and operational excellence.\n\nOutcomes\n\nDrive AI‑first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience.\n\nPartner with Engineering and Product teams to operationalize AI‑assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers.\n\nBuild and scale reusable AI‑enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization.\n\nLead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location.\n\nOwn and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality.\n\nAct as a senior escalation point for customers and internal teams while driving operational excellence and process optimization.\n\nLead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads.\n\nConduct regular one‑on‑ones, annual review, and career development discussions with direct reports.\n\nBe a hands‑on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies.\n\nGuide customers on Spark runtime optimization, distributed systems performance, and best practices for scalable Data & AI workloads.\n\nOwn Engineering JIRA escalations and proactively drive faster resolutions for customer‑reported product issues.\n\nMaintain internal operational documentation, runbooks, and customer‑facing knowledge base assets.\n\nCoordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively.\n\nAct as a strong customer advocate and collaborate with cloud partners to support mutual customer success.\n\nParticipate in major incident management, escalation handling, on‑call rotations, and critical production support activities.\n\nWhat we are looking for:\n\n10+ years of experience designing, building, troubleshooting, and supporting large‑scale Data & AI applications using Python, Java, Scala, Spark, or related distributed technologies.\n\nStrong work experience of AI‑enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation frameworks.\n\nProven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus.\n\nExperience using AI tools for troubleshooting, root‑cause analysis, observability analysis, and support workflow acceleration.\n\nStrong hands‑on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems.\n\nExperience leading production‑scale workloads across Big Data, Hadoop, AI/ML, Kafka, Streaming, Data Science, or Analytics platforms.\n\nStrong troubleshooting and performance tuning experience for Spark and JVM‑based distributed systems, including memory management, garbage collection, heap analysis, and thread dump analysis.\n\nHands‑on experience with AWS, Azure, or GCP cloud platforms.\n\nProven experience managing globally distributed technical teams and handling high‑severity customer escalations.\n\nStrong analytical, debugging, problem‑solving, and distributed systems troubleshooting skills.\n\nExcellent written and verbal communication skills with strong customer‑facing leadership abilities.\n\nStrong organizational, multitasking, stakeholder management, and operational leadership capabilities.\n\nBenefits\nAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, please refer to the internal benefits portal.\n\nOur Commitment to Diversity and Inclusion\nAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.\n\nCompliance\nIf access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T05:07:07.413Z","dateModified":"2026-06-20T05:07:07.413Z","hiringOrganization":{"@type":"Organization","name":"Cacheflow","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ae5c8a6384b50a5348448540"},"url":"https://jobsearcher.com/jobs/ae5c8a6384b50a5348448540"}}