Top Remote Jobs in Ann Arbor, MI

Own end-to-end delivery of Agile Targeting products, translating customer and business needs into engineering plans. Lead backlog prioritization, sprint and release planning, dependency management, risk tracking, quality readiness, and KPI reporting. Partner with engineering teams on technical tradeoffs and integrations, support operator discovery and demos, and communicate execution status to leadership. The role requires collaboration across product, engineering, business development, and program teams in defense, public safety, and geospatial environments.

Serve as CEO's right hand to define success metrics, lead cross-functional initiatives, build internal systems and processes, analyze product and customer data, run growth experiments, manage vendors, and operationalize high-impact projects to scale the company.

Lead the design, development, deployment, and governance of advanced analytics, machine learning, and AI solutions using large healthcare datasets. Responsibilities include data preparation, statistical and predictive modeling, model monitoring, explainability, visualization, stakeholder communication, and translating findings into clinical and operational improvements. The role also mentors data professionals, advises leaders, manages initiative priorities and risks, and promotes responsible AI and Agile practices.

Develop and maintain features for a React Native VoIP mobile app, integrate native Android/iOS modules when needed, collaborate with backend engineers on APIs and real-time communications, optimize performance, debug production issues, and contribute technical insights to the product roadmap.

Leads project management, Agile delivery, and business process analysis across Scrum and Kanban teams. Responsibilities include developing schedules and roadmaps, tracking milestones and dependencies, managing risks and blockers, facilitating Agile ceremonies, monitoring delivery metrics, gathering requirements, writing user stories, optimizing processes, and maintaining traceability in Jira and Confluence. The role also coordinates stakeholders and uses AI tools to improve workflow automation, documentation, reporting, and multi-project tracking.

Supports Federal agency clients with organizational assessments, workforce planning, organizational strategy, skills assessment, data analytics, visualization, and evidence-based decision-making. Responsibilities include evaluating client needs, developing and implementing solutions, preparing reports and presentations, managing project timelines and status updates, maintaining SharePoint and Teams files, and collaborating with stakeholders. The position is remote with occasional customer-site travel.

Create standard design guidelines and graphic assets to support the marketing team and fellow interns. Work is project-based, guided by a volunteer mentor, and flexible to meet course internship requirements.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Design intuitive mobile and web interfaces: conduct product discovery and user research, create wireframes, flows, high-fidelity prototypes in Figma, run usability testing, collaborate with PMs and developers, and ensure design consistency and implementation.

Own net-new enterprise sales to AI-native companies and large enterprises. Run complex multi-stakeholder deals end-to-end: build champions, construct business cases, negotiate multi-year contracts, manage procurement, partner with product/engineering, maintain pipeline and CRM, forecast accurately, and travel periodically for accounts and events.

Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.

Build and maintain reproducible data pipelines, experiment orchestration, CI/CD for models, Terraform-based ML infrastructure, observability, security controls, and automation to deploy and operate ML systems in production.

Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.