Technical Customer Support Jobs in Michigan
Technical Customer Support jobs in Michigan are concentrated in Detroit, Grand Rapids, and Ann Arbor, where established employers like General Motors, Consumers Energy, and Rocket Companies maintain large support and technology operations that hire at every level from entry-level help desk to senior technical analyst. The strongest demand is in software troubleshooting, network support, and enterprise systems assistance, reflecting Michigan's mix of automotive technology, insurance platforms, and fintech. Openings exist at both fully remote and on-site Michigan facilities, making this one of the more accessible markets in the state. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 354+ Technical Customer Support jobs
We are seeking a highly technical, customer-obsessed Product Manager to lead the strategy, roadmap, and evolution of our Enterprise Data & AI Platform. The platform enables engineering teams, data scientists, analysts, and developers to build and operate data products, analytics, machine learning solutions, and AI applications at enterprise scale.
This role owns the three-year platform vision and translates customer needs into technical capabilities, investment priorities, and executable roadmaps. The successful candidate will balance customer value, operational reliability, cost efficiency, and delivery speed.
We are looking for someone equally comfortable discussing strategy with executives and working directly with engineers to evaluate architectures, investigate technical challenges, and develop practical solutions.
Key Responsibilities:
Product Strategy and Roadmap
- Own the three-year vision, strategy, and roadmap across data engineering, analytics, compute, governance, developer experience, and AI infrastructure.
- Translate customer needs into annual goals, quarterly milestones, investment priorities, and measurable business outcomes.
- Evaluate build-versus-buy decisions, emerging technologies, platform consolidation, and architectural trade-offs.
- Develop investment proposals balancing customer value, scalability, operational complexity, execution risk, and total cost of ownership.
Customer Discovery and Product Development
- Build a deep understanding of customers, including data engineers, developers, data scientists, ML engineers, and business teams.
- Conduct customer interviews, workflow observations, technical discovery, and usage analysis to identify unmet needs.
- Translate insights into product requirements, working-backwards narratives, business cases, and prioritized roadmaps.
- Establish feedback mechanisms and measure adoption, customer satisfaction, developer productivity, and delivered value.
Technical Product Leadership
- Work directly with engineers and architects to evaluate technical designs, investigate problems, and make informed implementation trade-offs.
- Apply strong knowledge of Databricks, AWS, Apache Spark, lakehouse architectures, streaming, orchestration, and data governance.
- Understand AI/ML infrastructure, model serving, LLMs, AI gateways, agentic applications, and production AI operations.
- Evaluate performance, scalability, security, reliability, interoperability, and cost when making technology decisions.
Execution and Operational Excellence
- Translate product strategy into executable plans with clear priorities, milestones, dependencies, and accountability.
- Drive capabilities that improve reliability, automation, self-service, and developer productivity.
- Balance feature delivery with technical debt, operational stability, and platform maintenance.
- Establish success metrics for availability, incident recovery, onboarding time, adoption, and delivery efficiency.
Financial and Cross-Functional Leadership
- Develop business cases and TCO models covering cloud consumption, licensing, infrastructure, engineering, and operations.
- Partner with engineering and finance teams on consumption forecasting, cost attribution, optimization, and investment planning.
- Evaluate vendor capabilities, pricing, performance benchmarks, and commercial trade-offs.
- Influence engineering, security, architecture, finance, and business leaders to align priorities, resolve dependencies, and drive decisions.
Basic Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- A minimum of 8 years of experience in technical product management, software engineering, data engineering, or platform engineering, including ownership of complex technical products.
- Demonstrated experience developing multi-year product strategies, roadmaps, investment plans, and measurable outcomes.
- Strong technical knowledge and practical experience with Databricks, AWS, distributed data processing, lakehouse architectures, streaming, and data governance.
- Experience working directly with engineers and architects on architecture, performance, reliability, cost, and implementation trade-offs.
- Proven customer research, analytical, communication, and cross-functional leadership skills, with the ability to navigate ambiguity and drive execution.
Preferred Qualifications:
- Previous hands-on software engineering, data engineering, or cloud platform engineering experience.
- Experience building enterprise data platforms serving multiple engineering and business organizations.
- Experience with Spark, Delta Lake, Unity Catalog, MLflow, Kubernetes, Terraform, Airflow, or similar technologies.
- Familiarity with AI/ML platforms, LLM serving, AI gateways, agentic applications, and cloud FinOps.
- Experience with large-scale streaming, telemetry, IoT, or distributed systems. Automotive or manufacturing experience is a plus, not required.
What Success Looks Like
Within 90 days, you will understand the platform's customers, architecture, economics, and operational challenges. Within six months, you will establish a customer-backed three-year strategy, prioritized roadmap, investment plan, and measurable goals. Within the first year, you will demonstrate improvements in developer productivity, customer experience, reliability, adoption, or cost efficiency. Success means translating strategy into execution and delivering measurable business value.
What Makes Someone Successful
You are customer-obsessed, technically credible, and comfortable working directly with engineers on complex problems. You combine strategic thinking with execution discipline, turning customer insights into practical plans and measurable results. You understand the trade-offs between innovation, reliability, cost, and operational complexity. You influence decisions across organizations, challenge assumptions with data, and take ownership of outcomes.
You think like a product owner, understand technology like an engineer, and execute with accountability for customer and business value.
Clarify the role's level and decision authority. Add concrete platform customer outcomes
We are seeking a highly technical, customer-obsessed Product Manager to lead the strategy, roadmap, and evolution of our Enterprise Data & AI Platform. The platform enables engineering teams, data scientists, analysts, and developers to build and operate data products, analytics, machine learning solutions, and AI applications at enterprise scale.
This role owns the three-year platform vision and translates customer needs into technical capabilities, investment priorities, and executable roadmaps. The successful candidate will balance customer value, operational reliability, cost efficiency, and delivery speed.
We are looking for someone equally comfortable discussing strategy with executives and working directly with engineers to evaluate architectures, investigate technical challenges, and develop practical solutions.
Key Responsibilities:
Product Strategy and Roadmap
- Own the three-year vision, strategy, and roadmap across data engineering, analytics, compute, governance, developer experience, and AI infrastructure.
- Translate customer needs into annual goals, quarterly milestones, investment priorities, and measurable business outcomes.
- Evaluate build-versus-buy decisions, emerging technologies, platform consolidation, and architectural trade-offs.
- Develop investment proposals balancing customer value, scalability, operational complexity, execution risk, and total cost of ownership.
Customer Discovery and Product Development
- Build a deep understanding of customers, including data engineers, developers, data scientists, ML engineers, and business teams.
- Conduct customer interviews, workflow observations, technical discovery, and usage analysis to identify unmet needs.
- Translate insights into product requirements, working-backwards narratives, business cases, and prioritized roadmaps.
- Establish feedback mechanisms and measure adoption, customer satisfaction, developer productivity, and delivered value.
Technical Product Leadership
- Work directly with engineers and architects to evaluate technical designs, investigate problems, and make informed implementation trade-offs.
- Apply strong knowledge of Databricks, AWS, Apache Spark, lakehouse architectures, streaming, orchestration, and data governance.
- Understand AI/ML infrastructure, model serving, LLMs, AI gateways, agentic applications, and production AI operations.
- Evaluate performance, scalability, security, reliability, interoperability, and cost when making technology decisions.
Execution and Operational Excellence
- Translate product strategy into executable plans with clear priorities, milestones, dependencies, and accountability.
- Drive capabilities that improve reliability, automation, self-service, and developer productivity.
- Balance feature delivery with technical debt, operational stability, and platform maintenance.
- Establish success metrics for availability, incident recovery, onboarding time, adoption, and delivery efficiency.
Financial and Cross-Functional Leadership
- Develop business cases and TCO models covering cloud consumption, licensing, infrastructure, engineering, and operations.
- Partner with engineering and finance teams on consumption forecasting, cost attribution, optimization, and investment planning.
- Evaluate vendor capabilities, pricing, performance benchmarks, and commercial trade-offs.
- Influence engineering, security, architecture, finance, and business leaders to align priorities, resolve dependencies, and drive decisions.
Basic Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- A minimum of 8 years of experience in technical product management, software engineering, data engineering, or platform engineering, including ownership of complex technical products.
- Demonstrated experience developing multi-year product strategies, roadmaps, investment plans, and measurable outcomes.
- Strong technical knowledge and practical experience with Databricks, AWS, distributed data processing, lakehouse architectures, streaming, and data governance.
- Experience working directly with engineers and architects on architecture, performance, reliability, cost, and implementation trade-offs.
- Proven customer research, analytical, communication, and cross-functional leadership skills, with the ability to navigate ambiguity and drive execution.
Preferred Qualifications:
- Previous hands-on software engineering, data engineering, or cloud platform engineering experience.
- Experience building enterprise data platforms serving multiple engineering and business organizations.
- Experience with Spark, Delta Lake, Unity Catalog, MLflow, Kubernetes, Terraform, Airflow, or similar technologies.
- Familiarity with AI/ML platforms, LLM serving, AI gateways, agentic applications, and cloud FinOps.
- Experience with large-scale streaming, telemetry, IoT, or distributed systems. Automotive or manufacturing experience is a plus, not required.
What Success Looks Like
Within 90 days, you will understand the platform's customers, architecture, economics, and operational challenges. Within six months, you will establish a customer-backed three-year strategy, prioritized roadmap, investment plan, and measurable goals. Within the first year, you will demonstrate improvements in developer productivity, customer experience, reliability, adoption, or cost efficiency. Success means translating strategy into execution and delivering measurable business value.
What Makes Someone Successful
You are customer-obsessed, technically credible, and comfortable working directly with engineers on complex problems. You combine strategic thinking with execution discipline, turning customer insights into practical plans and measurable results. You understand the trade-offs between innovation, reliability, cost, and operational complexity. You influence decisions across organizations, challenge assumptions with data, and take ownership of outcomes.
You think like a product owner, understand technology like an engineer, and execute with accountability for customer and business value.
Clarify the role's level and decision authority. Add concrete platform customer outcomes
See All 354+ Technical Customer Support Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
Find JobsTechnical Customer Support Jobs by City in Michigan
Where Michigan roles are concentrated, by current openings.
Technical Customer Support Job Market in Michigan
A snapshot from current Michigan openings, updated as new roles post.
Who's Hiring
- Stellantis35
- McLaren Health Care24
- Connect Force13C
- General Motors (GM)11
- Ford Motor Company10
Top Industries Hiring
- Healthcare & Medical Services
- Consulting & Professional Services
- Technology & Software
- Automotive
- Manufacturing
What Michigan Employers Look For
The qualifications that appear most often in technical customer support jobs across Michigan.
- Associate or bachelor's degree in information technology, computer science, or a related field
- Demonstrated ability to diagnose and resolve hardware, software, or network issues independently
- Experience with ticketing systems such as ServiceNow, Zendesk, or Jira
- Strong verbal and written communication skills for explaining technical issues to non-technical users
- Familiarity with Windows and macOS environments and basic networking concepts
- CompTIA A+ or CompTIA Network+ certification preferred by many Michigan employers
Technical Customer Support Jobs in Michigan: Frequently Asked Questions
How do you become a technical customer support in Michigan?
Most Michigan employers hire technical customer support candidates with at least an associate degree in information technology or a related field, though some accept equivalent hands-on experience. There is no state-issued license required in Michigan for this role. Earning an industry certification such as CompTIA A+ strengthens applications significantly, and completing an IT program at a Michigan community college or university is a common starting point for candidates entering the field.
Which companies hire technical customer supports in Michigan?
Companies currently hiring technical customer supports in Michigan include Stellantis, McLaren Health Care, and Connect Force, per current listings on Migrate Mate as of November 2026. Michigan's concentration of automotive technology firms, insurance carriers, and financial services companies creates consistent demand for technical support professionals with experience in enterprise software and connected-vehicle platforms.
Which Michigan cities have the most technical customer support jobs?
Auburn Hills, Grand Rapids, and Detroit have the most technical customer support openings in Michigan. Detroit leads because of its dense cluster of automotive technology firms, large insurers, and corporate headquarters, while Grand Rapids draws openings from its growing healthcare IT and manufacturing technology sectors, and Ann Arbor benefits from university-affiliated tech employers and software companies that have expanded their support teams in the region.
Are there remote technical customer support jobs in Michigan?
Yes, and more than many fields. Technical customer support is well suited to remote work because most troubleshooting and communication happens digitally. About 61% of technical customer support openings tied to Michigan are remote or hybrid as of November 2026, reflecting the role's screen-based nature. Tier-one help desk and software support positions are the most commonly remote, while on-site requirements appear most often for roles supporting physical hardware or manufacturing systems.
How can I get hired as a technical customer support in Michigan with little or no experience?
The most realistic entry path is completing an IT certificate or associate degree at a Michigan community college such as Washtenaw Community College or Grand Rapids Community College and applying to help desk or desktop support roles immediately after. Large Michigan employers including Consumers Energy and Blue Cross Blue Shield of Michigan run new-grad and rotational IT programs that bring in candidates without prior work experience. Moving laterally from a customer service or retail electronics role into a technical support position is also common, and holding a CompTIA A+ certification gives candidates without a degree a concrete credential that opens doors at managed service providers across the state.
Where can I find and apply to technical customer support jobs in Michigan?
You can find and apply to technical customer support jobs in Michigan on Migrate Mate, which lists current Michigan openings from employers hiring now. Search the listings to find roles that match your experience level and location preference, then apply directly to the ones that fit.
See All 354+ Technical Customer Support Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
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