Top Tech Jobs & Startup Jobs in Detroit, MI

Build and maintain AI-powered go-to-market systems that automate sales, expansion, marketing, forecasting, handoffs, and post-sales workflows. Optimize processes, maintain CRM data quality, test and monitor automations, connect GTM tools, and translate operational needs into scalable technical solutions. The role uses AI and iPaaS tools to surface next-best actions, improve deal velocity, and support customer lifecycle operations.

Leads and mentors an engineering team building AI enablement platforms, developer tooling, automation, reusable accelerators, and shared engineering systems. The role remains hands-on with coding, code review, prototyping, architecture, production AI adoption, evaluation, governance, observability, resilience, and operational improvement. It partners across engineering, security, product, and leadership to define ownership, strategy, infrastructure investment, and measurable adoption outcomes.

Lead the development of Rocket’s enterprise homeownership data platform, connecting client, property, mortgage, servicing, and financial information into a trusted unified view. Build and mentor a senior product management team, establish product strategy and best practices, drive data-informed experimentation and measurable outcomes, resolve cross-functional roadblocks, integrate external data, and improve client experiences across touchpoints. This player-coach role requires expertise in identity resolution, data quality, product leadership, and organizational planning.

Leads and develops a team of full-stack engineers responsible for hardship and payment-assistance web experiences. Owns hiring, coaching, performance, delivery, technical direction, staffing, and stakeholder communication. Guides development across Next.js or React, NestJS GraphQL, .NET/C#, AWS, Amazon EKS, and CI/CD. Drives AI-native engineering adoption, manages risks and blockers, and partners with product, design, data, and distributed engineering teams to deliver reliable software.

Develop and implement AI, machine learning, data analytics, and machine vision solutions for automotive manufacturing. Responsibilities include algorithm development, technology research, system integration, model deployment, project coordination, stakeholder reporting, and roadmap support. The role requires collaboration with software, product, and program teams, as well as experience with cloud platforms, MLOps, robotics, industrial data protocols, visualization tools, and automotive manufacturing processes. Domestic and international travel of up to 25% is required.

Design and govern solution and target architectures across IT and OT, focusing on IoT and hybrid infrastructures (on-premise, edge, cloud). Conduct business and system analyses, define target architectures, evaluate demands for compliance, provide governance during implementation, maintain artifacts in LeanIX, and coach stakeholders. Includes international travel.

Leverage website and app behavioral data to drive user acquisition, engagement, retention, conversion, and growth. Design experiments, apply causal inference, build predictive and forecasting models, segment users, measure business impact, and communicate recommendations to Product, Engineering, and business leaders.

Automate operational processes, optimize cloud capacity, manage product releases, implement monitoring and alerting, resolve production incidents, maintain monitoring configurations, and participate in on-call support for reliable, scalable infrastructure.

Leads managed-services data analytics and business intelligence workstreams for healthcare revenue cycle operations. Oversees planning, budgeting, delivery, dashboards, reporting, data models, and system data flows. Guides teams using Azure Data Factory and cloud data pipelines, ensures analytics quality and security compliance, resolves client issues, mentors staff, and identifies opportunities for automation, advanced analytics, and AI-supported tools.

Implements and configures Oracle HCM Cloud solutions across HR workstreams, translating client requirements into system designs and configurations. Supports data conversion, testing, issue resolution, reporting, dashboards, and cutover activities. Evaluates HR processes, coordinates stakeholders, manages project risks, and applies change-management methods. Guides junior consultants and helps clients adopt cloud-based workforce planning, talent management, analytics, and core HR capabilities.

Implement, configure, and maintain Oracle Financials to optimize GL, AP, AR, cash management, and related finance processes. Analyze client needs, deliver tailored Oracle ERP solutions, provide training/support, develop financial models and forecasts, and present recommendations. Guide teams on finance technology projects and support finance transformation and compliance.

Leads mid-market sales teams by coaching Account Executives and Account Managers, monitoring activity, driving sales targets, recruiting and training personnel, assigning priority customers, conducting sales meetings, and reporting results to leadership. The role requires customer-focused sales leadership, team development, office management, CRM experience, and travel.

Supports vehicle compartment integration, packaging, general arrangements, 3D CAD math, fabrication-ready drawings, physical seating bucks, and VR/MR evaluations. The role assesses occupant visibility, accommodation, reach, access, and spaciousness while coordinating with design, engineering, human factors, manufacturing, and program teams. Responsibilities include verifying geometry and interfaces, preparing review environments, documenting findings, resolving integration issues, and improving processes for advanced electric vehicle development.

Leads customer quality activities for Bose Automotive products, including complex production, field, and warranty investigations, root-cause analysis, corrective actions, PPAP, Run-at-Rate, and production readiness. Partners with automotive OEM customers and global cross-functional teams to resolve escalations, improve quality metrics, and prevent recurrence. Supervises one Customer Quality Engineer, coordinating workloads, reviewing deliverables, and providing coaching. Applies statistical and AI-assisted analysis to warranty, field, and manufacturing data while driving improvements to quality methods and reporting.

Supports Private Client Advisors by handling account openings, money movement, investment trades, client requests, relationship reviews, performance reporting, lead generation, wealth planning support, risk management, Know Your Customer procedures, and compliance documentation. The role also resolves client issues, promotes firm services, tracks work, and maintains timely operational execution.