Top Tech Jobs & Startup Jobs in Detroit, MI

The National Sales Director will drive strategic relationships in healthcare, cultivate business opportunities, manage large enterprise accounts, and negotiate high-value contracts.

Lead customer-facing analytics: build dashboards, reports, and POCs that demonstrate ROI and utilization trends for healthcare provider data. Collaborate with data science and engineering on advanced models, assess and integrate new data sources, ensure data quality, and support presales and executive-facing storytelling.

Lead cybersecurity assessments, risk management, and incident response across cloud, container, and application environments. Advise on DoD/NIST compliance, mentor junior staff, engage external stakeholders, and champion AI-augmented security tooling to accelerate secure delivery.

As a Platform Engineer III, you will create automated processes, manage environments, troubleshoot issues, and enhance developer experiences while supporting clients and ensuring operational reliability.

As a CI/CD Engineer III, you will enhance software delivery processes, implement automation, collaborate on pipeline configurations, and ensure client satisfaction while maintaining CI/CD principles for secure software delivery.

Manage environmental assessment projects, write and review ESA reports, oversee quality control, and communicate with clients, while leading site activities as needed.

Lead platform architecture and implementation for Tamnoon, designing scalable, secure distributed systems and cloud-native services. Build cloud infrastructure with AWS, Kubernetes/EKS, serverless and event-driven patterns, own identity and access solutions, and integrate security and external platforms. Drive technical design reviews, mentor engineers, establish best practices, and collaborate with Product, Security, and Engineering to deliver reliable, production-grade platform capabilities.

The Sales Executive is responsible for driving revenue growth, creating new customer opportunities, managing a sales pipeline, and closing deals, focusing on enterprise accounts in the Central/West region of the USA.

As a Senior Backend Engineer, you will architect and optimize backend services for e-commerce, ensure reliability, enhance CI/CD pipelines, and mentor team members.

The Principal Cloud Architect will lead cloud solution designs and implementations for clients, guiding teams, mentoring staff, and driving innovation in AWS architectural strategy.

The role involves leading ML client engagements, shaping strategies, advising on ML architecture, and influencing project outcomes, while guiding teams and driving business value.

The Senior Customer Solution Architect will work with sales teams, providing AWS expertise, crafting solutions, and guiding customer strategies while leading deep architecture sessions.

Lead Shipium's Data Science, AI, Data Engineering, and BI teams to define multi-year ML/data strategy, run production ML and data platforms, scale hiring and org design, ensure model lifecycle and observability, and own Generative AI infrastructure, evaluation, and vendor decisions to deliver production-grade supply-chain AI capabilities.

As a Senior Solutions Engineer, you will lead technical strategies for enterprise sales, architect API solutions, and ensure alignment between technical validation and commercial goals.

This role involves submitting applications and maintaining candidate information for future job openings at Sumeru Equity Partners.

The Senior Software Engineer will build and enhance 15Five's Data Intelligence Platform while collaborating with Data Science and Product Engineering teams.

The Compensation Manager at Serve Robotics leads the design and execution of compensation programs, ensuring competitive and equitable pay practices. This role involves partnering with leadership, conducting market analyses, maintaining compensation frameworks, and ensuring compliance with pay regulations.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

Develop and prototype learning-based models using data-centric techniques; design and maintain multi-modal data and feature extraction pipelines; build auto-labeling systems; perform ETL and optimize SQL for analysis/ingestion; collaborate with data infrastructure and ML engineers to integrate workflows; write maintainable code and participate in code reviews to support scalable ML production.