Top Remote Jobs in Ann Arbor, MI

Lead research projects that develop and improve data science methodologies and algorithms. Analyze existing solutions, build and test data extraction and transformation architectures, and collaborate with Technology and Product Management on deployment. Investigate production and client data issues, provide data analysis support, maintain SQL, Python, and R code, document processes, and present research findings to internal clients.

Leads the architecture, delivery, and technical strategy for enterprise AI solutions, including generative AI, intelligent agents, data platforms, and cloud-native applications. Advises executive clients, oversees large-scale AI programs, establishes Azure-based architectures and engineering standards, mentors technical teams, and advances responsible AI, MLOps/LLMOps, security, scalability, and reusable intellectual property across the practice.

Designs and develops healthcare training programs across eLearning, live facilitation, video, job aids, simulations, and assessments. Partners with clinical, audit, and quality SMEs to translate complex operational and compliance requirements into learner-centered content. Maintains curriculum documentation and version control, evaluates learner performance, and continuously improves materials using instructional design best practices, healthcare guidance, and regulatory updates.

Own end-to-end analytics delivery for a client POD, translating business priorities into workplans, coordinating cross-functional teams, governing delivery and revenue KPIs, and managing risks through resolution. Perform hands-on data profiling, validation, reconciliation, exploratory analysis, automation, and quality reviews using SQL, Python, Databricks, and Excel. Create executive-ready KPI, revenue, and business-impact narratives, prioritize initiatives, support business cases, and identify opportunities for analytics automation and AI-enabled improvements.

Drive upsell and cross-sell revenue among existing hospitality customers. Build and manage a qualified sales pipeline, identify expansion opportunities, develop stakeholder relationships, present tailored software solutions, negotiate deals, and collaborate with onboarding and product teams for successful implementation. The role requires hospitality industry knowledge, strong communication skills, Salesforce proficiency, and willingness to travel under 10%.

Drive revenue growth from existing customers through outbound and product-led upselling and cross-selling. Build and manage a customer pipeline, exceed sales targets, identify expansion opportunities, present tailored software solutions, and maintain executive relationships. Collaborate with onboarding and product teams to support successful implementations, minimize post-sale fallout, and monitor hospitality technology and competitive trends. The role is fully remote and requires less than 10% travel.

Architect and improve AWS infrastructure, build and maintain Kubernetes platforms, automate provisioning with infrastructure as code, and support CI/CD delivery. The role improves security, reliability, scalability, performance, and quality while helping development teams apply DevOps practices. Responsibilities include application and environment configuration, production support, and participation in an on-call rotation.

Own the technical success of strategic customer deployments from design through production. Collaborate with customer architects, operators, and developers to optimize infrastructure, debug distributed systems and storage issues, build automation and API solutions, and translate operational needs into product improvements. Serve as the customer advocate within engineering while managing high-stakes technical challenges and deployment expectations. Travel or work onsite at customer locations up to 25%.

Provides remote client support for a legal technology platform by guiding users through tasks, resolving inquiries, maintaining Salesforce records, de-escalating issues, monitoring KPIs, advocating for client needs, and contributing to product and process improvements. The role also supports onboarding, team collaboration, continuous learning, and operational efficiency.

Leads an enterprise sales team responsible for revenue, quotas, forecasting, pipeline management, hiring, coaching, and performance management. Sets sales strategy and business plans, partners with marketing on lead generation, analyzes market and competitor trends, reports performance to senior leadership, and resolves escalated customer issues. The role also supports productivity and forecasting through AI tools.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Outbound-focused Sales Development Representative responsible for generating pipeline through multi-channel prospecting (phone, email, LinkedIn, short-form video), scheduling high-quality meetings, researching accounts, maintaining CRM data, collaborating with AEs/Marketing/Product, iterating messaging, and hitting monthly KPIs.

The Director of Strategic Finance partners with Product and Data Science to manage points experimentation economics, including cost modeling, forecasting, ROI evaluation, budgeting, investment allocation, and variance analysis. The role owns the points economics narrative for leadership, supports executive and board reporting, builds financial frameworks, and provides analyses guiding product and growth decisions.

Manage and scale mobile app engagement campaigns from pipeline through launch, optimization, and ongoing performance management. Build operational processes, trackers, and operating rhythms; monitor campaign health and diagnose underperformance; coordinate Sales, Product, Tech, Implementation, and external partners; manage dependencies and issue resolution; and support advertiser activation, setup, MMP integrations, and launches.

Develop and deploy predictive and causal models for personalization, retention, monetization, and product strategy. Design experimentation and measurement frameworks, analyze user and marketing behavior, quantify business impact, and translate complex findings into strategic decisions. Collaborate with Product, Engineering, Marketing, and Data Product teams to build scalable data solutions. Mentor peers, promote rigorous model validation and governance, and apply Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to production-ready data science initiatives.

Own day-to-day creator campaign execution and roster management, including building campaign rosters, maintaining accurate creator and campaign data, communicating with creators through Zendesk, escalating issues, and collaborating with customer success, Product, Finance, and RevOps. The role manages approximately 20–30 campaigns monthly, follows established SOPs, assesses creator-brand fit, and identifies process improvements in a remote, evolving environment.