{"schemaVersion":"jobsearcher.job.v1","id":"2bca9df2422f5530647bff13","url":"https://jobsearcher.com/jobs/2bca9df2422f5530647bff13","canonicalUrl":"https://jobsearcher.com/jobs/2bca9df2422f5530647bff13","title":"Sr. Technical Support Engineer","description":"What You'll Do:\nWhat You’ll Do\n\nThe Senior Technical Account Manager is responsible is a critical member of Avalara’s support organization, responsible for managing technical tickets, ensuring timely resolution, and driving customer satisfaction for our Enterprise. Involving complex product and connector issues that cannot be fully resolved through frontline troubleshooting alone, while improving the speed, quality, and consistency of engineering engagement. This is an engineering-aligned support talent that can reduce time to resolution, improve case quality, raise the standard of Jira submissions, and turn repeat issues into durable knowledge and process improvements. It also reflects Avalara’s broader need to embed AI into technical support in practical ways that improve investigation speed, communication quality, and team scalability. In addition to resolving complex issues, this role is expected to use AI in day-to-day work to accelerate research, strengthen technical analysis,\nimprove case documentation, and identify opportunities to make technical support more effective and scalable over time.\n\nThe business outcome this role enables is straightforward: better customer experience, faster and more reliable resolution of complex cases, better use of engineering capacity, stronger support scalability, and fewer repeat incidents over\ntime. By combining technical judgment with thoughtful AI adoption, this role also helps Avalara improve how support work is performed, not just how individual cases are resolved.\n\nHow This Role Elevates Avalara\nThis role raises the technical bar of Enterprise Support by bringing stronger investigation discipline, better case documentation, cleaner handoffs, more effective Jira creation, and clearer collaboration with Product and Engineering. It also improves the capability of the broader support organization by turning difficult cases into reusable knowledge, troubleshooting actions, and support-ready guidance that reduces future rework.\nThis role helps Avalara reduce unnecessary Jira volume, improve the quality of engineering escalations, and protect engineering capacity for the issues that truly require development effort. It also supports better operational performance through stronger SLA discipline, cleaner milestone adherence, faster TTR, and more predictable case outcomes.\nThis role improves customer trust by ensuring that the most complex issues are handled with technical depth, clear communication, accurate diagnosis, and accountable resolution ownership. It also improves the long-term\ncustomer experience by reducing repeat incidents and strengthening self-service through better knowledge assets and preventative actions.\nProtect and increase Enterprise customer revenue and retention by resolving complex customer-impacting issues quickly and accurately.\nFor customers, the TAM provides a trusted technical partner who understands their environment, anticipates risk, and delivers clarity during high-impact situations. This proactive, relationship-driven approach increases platform\nreliability, improves customer experience, and drives long-term success\nWhat Your Responsibilities Will Be:\nProvide leadership and mentorship to TAMs – providing knowledge sessions, brown-bag training and advanced troubleshooting of APIs and ERPs.\nOwn a portfolio of Avalara’s Enterprise customers with premium support entitlement.\nOwn complex support cases from assignment through verified resolution, especially where advanced troubleshooting, reproduction, deep product analysis, or engineering coordination is required.\nPerform advanced troubleshooting and root cause analysis across ERP/CRM/eCommerce platforms (NetSuite, D365, SAP, Oracle, Salesforce, Shopify, Workday, etc.).\nDiagnose customer issues across AvaTax, connectors, and related workflows by reproducing issues, gathering diagnostics, isolating scope, documenting findings, and confirming business impact.\nDetermine when engineering involvement is warranted and ensure Jira tickets are necessary, complete, technically credible, and supported by strong due diligence before submission.\nCreate, refine, and manage Jira tickets that clearly describe the issue, expected and actual behaviour, troubleshooting completed, reproduction detail, supporting evidence, and urgency.\nPartner closely with Product and Engineering to drive defect resolution, maintain momentum on linked development work, and keep customer cases moving while internal work is in progress.\nMaintain strong customer communication discipline by meeting milestone expectations, providing proactive updates, responding quickly to new customer messages, and keeping status and documentation audit ready.\nImprove support effectiveness beyond the individual case by completing troubleshooting of the issues and analysis on major or repeat issues and contributing knowledge articles, playbooks, or reusable troubleshooting guidance that reduce repeat volume.\nContribute to High priority support or production-support responsiveness where applicable by providing fast technical guidance, validating escalation paths, and helping the broader support organization make better decisions earlier in the case lifecycle.\nAct as a technical role model for quality, ownership, and judgment in how cases are investigated, escalated, documented, and resolved.\nContribute to responsible AI adoption by using sound judgment, validating outputs, and ensuring that final recommendations, communications, and actions remain accurate and customer ready.\nHelp embed AI into support ways of working by sharing effective use cases, improving repeatable practices, and supporting continuous improvement across the team.\n\n12-Month Success Signals\nConsistently meets or exceeds SLA targets and maintains high CSAT scores.\nReduces complex escalation backlog and improves average resolution time.\nContributes documented root-cause fixes that decrease repeat incidents.\nDelivers measurable efficiency gains through AI-assisted workflows (e.g.,reduced case handling time, improved documentation speed).\nWhat You'll Need to be Successful:\nAt Avalara, this role is expected to be a bar raiser for Support Engineering, leveraging technical expertise, data-driven insights, and AI-enabled capabilities to elevate troubleshooting, accelerate issue resolution, and prevent recurring customer problems. They continuously improve support operations, knowledge management, and team effectiveness while delivering exceptional customer outcomes.\nRaise the bar for the team. Provide guidance, improve execution quality, and leave cases, routing, and knowledge resources better than you found them.\nOwn complex cases end to end. Drive the issue forward, clarify ambiguity, follow up proactively, and make sure cases do not stall waiting on others.\nIdentify and drove resolution of recurring product defects, resulting in improved customer experience and reduced support volume.\nConsistently achieve high customer satisfaction scores through effective issue ownership, technical expertise, and proactive communication.\nReduce critical issue resolution time to 5 days through structured root cause analysis and cross-functional collaboration.\nAI Bar Raiser Expectations:\n\nThis role is expected to be an AI Bar Raiser, applying AI in a deliberate and impactful way to improve how technical issues are diagnosed, resolved, and prevented, while elevating the team’s ability to use AI to drive meaningful gains\nin support efficiency, knowledge quality, technical troubleshooting, and customer outcomes.\nLeverage AI-powered tools to accelerate root cause analysis and reduce troubleshooting time for complex customer issues.\nIdentify and implement new AI-driven approaches to technical support (e.g., automated diagnostics, intelligent case triage, predictive risk identification) that go beyond current team practices\nUtilize Generative AI to create knowledge base articles, troubleshooting guides, and customer-facing documentation, improving knowledge accessibility and consistency\nDevelop AI-driven workflows that automated repetitive support tasks, increasing team productivity and reducing manual effort.\nCreate AI-powered prompt libraries and support playbooks that standardized troubleshooting approaches across the team.\nCollaborate with Product and Engineering teams to integrate AI-driven customer feedback analysis into product improvement initiatives.\nChampion AI adoption across the support organization, driving measurable improvements in resolution efficiency and support quality.\nUse AI insights to prioritize critical customer issues based on business impact, severity, and historical trends.\nQualifications\nBachelor’s degree in computer science, IT, Engineering, or a related field, or equivalent hands-on experience in advanced technical/production support.\n5+ years of proven experience in handling complex technical issues in SaaS, APIs, integrations, or similar environments, with strong troubleshooting and root cause analysis skills.\nExpert experience with ERP/CRM/eCommerce platforms: NetSuite, Microsoft Dynamics, SAP S/4 Hana, SageX, Salesforce, Magento, Oracle, Shopify, Workday, or similar systems is required\nDemonstrated proficiency in API and workflow analysis across ERP, e-Commerce, and Marketplace platforms.\nDemonstrated ability to collaborate with Engineering/Product teams and manage high-quality escalation artifacts (e.g., Jira) with clear technical detail.\nStrong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.\nExperience working in SLA-driven support environments using tools such as Salesforce, Jira, and Confluence.\nMandatory experience using AI tools and automation to improve support efficiency, diagnostics, communication quality, and scalability.\nAvalara is an AI-first Company:\nAI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.\nYou’ll bring experience using AI and AI-related technologies, ready to thrive here.\nYou’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.\nYou’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.\nHow We'll Take Care of You:\nTotal Rewards\nIn addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.\n\nHealth & Wellness\nBenefits vary by location but generally include private medical, life, and disability insurance.\n\nInclusive culture and diversity\nAvalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.\n\nWhat You Need To Know About Avalara:\nWe’re defining the relationship between tax and tech.\n\nWe’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.\n\nWe’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.\n\nWe’re An Equal Opportunity Employer\nSupporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.","company":"Avalara","rawCompany":"avalara","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T00:14:41.337Z","occupations":[{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"},{"code":"15-1232.00","title":"Computer User Support Specialists","slug":"computer-user-support-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Technical Support Engineer","description":"What You'll Do:\nWhat You’ll Do\n\nThe Senior Technical Account Manager is responsible is a critical member of Avalara’s support organization, responsible for managing technical tickets, ensuring timely resolution, and driving customer satisfaction for our Enterprise. Involving complex product and connector issues that cannot be fully resolved through frontline troubleshooting alone, while improving the speed, quality, and consistency of engineering engagement. This is an engineering-aligned support talent that can reduce time to resolution, improve case quality, raise the standard of Jira submissions, and turn repeat issues into durable knowledge and process improvements. It also reflects Avalara’s broader need to embed AI into technical support in practical ways that improve investigation speed, communication quality, and team scalability. In addition to resolving complex issues, this role is expected to use AI in day-to-day work to accelerate research, strengthen technical analysis,\nimprove case documentation, and identify opportunities to make technical support more effective and scalable over time.\n\nThe business outcome this role enables is straightforward: better customer experience, faster and more reliable resolution of complex cases, better use of engineering capacity, stronger support scalability, and fewer repeat incidents over\ntime. By combining technical judgment with thoughtful AI adoption, this role also helps Avalara improve how support work is performed, not just how individual cases are resolved.\n\nHow This Role Elevates Avalara\nThis role raises the technical bar of Enterprise Support by bringing stronger investigation discipline, better case documentation, cleaner handoffs, more effective Jira creation, and clearer collaboration with Product and Engineering. It also improves the capability of the broader support organization by turning difficult cases into reusable knowledge, troubleshooting actions, and support-ready guidance that reduces future rework.\nThis role helps Avalara reduce unnecessary Jira volume, improve the quality of engineering escalations, and protect engineering capacity for the issues that truly require development effort. It also supports better operational performance through stronger SLA discipline, cleaner milestone adherence, faster TTR, and more predictable case outcomes.\nThis role improves customer trust by ensuring that the most complex issues are handled with technical depth, clear communication, accurate diagnosis, and accountable resolution ownership. It also improves the long-term\ncustomer experience by reducing repeat incidents and strengthening self-service through better knowledge assets and preventative actions.\nProtect and increase Enterprise customer revenue and retention by resolving complex customer-impacting issues quickly and accurately.\nFor customers, the TAM provides a trusted technical partner who understands their environment, anticipates risk, and delivers clarity during high-impact situations. This proactive, relationship-driven approach increases platform\nreliability, improves customer experience, and drives long-term success\nWhat Your Responsibilities Will Be:\nProvide leadership and mentorship to TAMs – providing knowledge sessions, brown-bag training and advanced troubleshooting of APIs and ERPs.\nOwn a portfolio of Avalara’s Enterprise customers with premium support entitlement.\nOwn complex support cases from assignment through verified resolution, especially where advanced troubleshooting, reproduction, deep product analysis, or engineering coordination is required.\nPerform advanced troubleshooting and root cause analysis across ERP/CRM/eCommerce platforms (NetSuite, D365, SAP, Oracle, Salesforce, Shopify, Workday, etc.).\nDiagnose customer issues across AvaTax, connectors, and related workflows by reproducing issues, gathering diagnostics, isolating scope, documenting findings, and confirming business impact.\nDetermine when engineering involvement is warranted and ensure Jira tickets are necessary, complete, technically credible, and supported by strong due diligence before submission.\nCreate, refine, and manage Jira tickets that clearly describe the issue, expected and actual behaviour, troubleshooting completed, reproduction detail, supporting evidence, and urgency.\nPartner closely with Product and Engineering to drive defect resolution, maintain momentum on linked development work, and keep customer cases moving while internal work is in progress.\nMaintain strong customer communication discipline by meeting milestone expectations, providing proactive updates, responding quickly to new customer messages, and keeping status and documentation audit ready.\nImprove support effectiveness beyond the individual case by completing troubleshooting of the issues and analysis on major or repeat issues and contributing knowledge articles, playbooks, or reusable troubleshooting guidance that reduce repeat volume.\nContribute to High priority support or production-support responsiveness where applicable by providing fast technical guidance, validating escalation paths, and helping the broader support organization make better decisions earlier in the case lifecycle.\nAct as a technical role model for quality, ownership, and judgment in how cases are investigated, escalated, documented, and resolved.\nContribute to responsible AI adoption by using sound judgment, validating outputs, and ensuring that final recommendations, communications, and actions remain accurate and customer ready.\nHelp embed AI into support ways of working by sharing effective use cases, improving repeatable practices, and supporting continuous improvement across the team.\n\n12-Month Success Signals\nConsistently meets or exceeds SLA targets and maintains high CSAT scores.\nReduces complex escalation backlog and improves average resolution time.\nContributes documented root-cause fixes that decrease repeat incidents.\nDelivers measurable efficiency gains through AI-assisted workflows (e.g.,reduced case handling time, improved documentation speed).\nWhat You'll Need to be Successful:\nAt Avalara, this role is expected to be a bar raiser for Support Engineering, leveraging technical expertise, data-driven insights, and AI-enabled capabilities to elevate troubleshooting, accelerate issue resolution, and prevent recurring customer problems. They continuously improve support operations, knowledge management, and team effectiveness while delivering exceptional customer outcomes.\nRaise the bar for the team. Provide guidance, improve execution quality, and leave cases, routing, and knowledge resources better than you found them.\nOwn complex cases end to end. Drive the issue forward, clarify ambiguity, follow up proactively, and make sure cases do not stall waiting on others.\nIdentify and drove resolution of recurring product defects, resulting in improved customer experience and reduced support volume.\nConsistently achieve high customer satisfaction scores through effective issue ownership, technical expertise, and proactive communication.\nReduce critical issue resolution time to 5 days through structured root cause analysis and cross-functional collaboration.\nAI Bar Raiser Expectations:\n\nThis role is expected to be an AI Bar Raiser, applying AI in a deliberate and impactful way to improve how technical issues are diagnosed, resolved, and prevented, while elevating the team’s ability to use AI to drive meaningful gains\nin support efficiency, knowledge quality, technical troubleshooting, and customer outcomes.\nLeverage AI-powered tools to accelerate root cause analysis and reduce troubleshooting time for complex customer issues.\nIdentify and implement new AI-driven approaches to technical support (e.g., automated diagnostics, intelligent case triage, predictive risk identification) that go beyond current team practices\nUtilize Generative AI to create knowledge base articles, troubleshooting guides, and customer-facing documentation, improving knowledge accessibility and consistency\nDevelop AI-driven workflows that automated repetitive support tasks, increasing team productivity and reducing manual effort.\nCreate AI-powered prompt libraries and support playbooks that standardized troubleshooting approaches across the team.\nCollaborate with Product and Engineering teams to integrate AI-driven customer feedback analysis into product improvement initiatives.\nChampion AI adoption across the support organization, driving measurable improvements in resolution efficiency and support quality.\nUse AI insights to prioritize critical customer issues based on business impact, severity, and historical trends.\nQualifications\nBachelor’s degree in computer science, IT, Engineering, or a related field, or equivalent hands-on experience in advanced technical/production support.\n5+ years of proven experience in handling complex technical issues in SaaS, APIs, integrations, or similar environments, with strong troubleshooting and root cause analysis skills.\nExpert experience with ERP/CRM/eCommerce platforms: NetSuite, Microsoft Dynamics, SAP S/4 Hana, SageX, Salesforce, Magento, Oracle, Shopify, Workday, or similar systems is required\nDemonstrated proficiency in API and workflow analysis across ERP, e-Commerce, and Marketplace platforms.\nDemonstrated ability to collaborate with Engineering/Product teams and manage high-quality escalation artifacts (e.g., Jira) with clear technical detail.\nStrong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.\nExperience working in SLA-driven support environments using tools such as Salesforce, Jira, and Confluence.\nMandatory experience using AI tools and automation to improve support efficiency, diagnostics, communication quality, and scalability.\nAvalara is an AI-first Company:\nAI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.\nYou’ll bring experience using AI and AI-related technologies, ready to thrive here.\nYou’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.\nYou’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.\nHow We'll Take Care of You:\nTotal Rewards\nIn addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.\n\nHealth & Wellness\nBenefits vary by location but generally include private medical, life, and disability insurance.\n\nInclusive culture and diversity\nAvalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.\n\nWhat You Need To Know About Avalara:\nWe’re defining the relationship between tax and tech.\n\nWe’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.\n\nWe’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.\n\nWe’re An Equal Opportunity Employer\nSupporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.","datePosted":"2026-08-04T00:14:41.337Z","dateModified":"2026-08-04T00:14:41.337Z","hiringOrganization":{"@type":"Organization","name":"Avalara","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2bca9df2422f5530647bff13"},"url":"https://jobsearcher.com/jobs/2bca9df2422f5530647bff13"}}