Top Remote Jobs in Detroit, MI

Own execution, optimization, and reporting for paid social and paid media campaigns (Meta, Google, LinkedIn, YouTube, Bing). Manage budgets, perform keyword research, ad copy development, bid optimizations, and client communications. Deliver performance insights, strategic recommendations, and leverage data and AI tools to drive direct response for e-commerce, lead gen, and B2B clients.

Lead performance marketing strategy and execution for high-value accounts across multiple paid channels. Own campaign planning, QA, budget pacing, optimizations, measurement (MMTs/LRAs), reporting, client communication, and mentoring. Integrate Power Digitals nova tools and AI to deliver actionable insights, testing roadmaps, and strategic recommendations that drive revenue and client retention.

Develop and execute social media strategies for multiple clients across industries. Manage influencer programming from talent selection through reporting, create brand-aligned copy and content calendars, monitor trends and platform changes, communicate with clients, and use performance data to optimize campaigns. The role requires autonomous account ownership, creative strategy development, cross-functional collaboration, and effective use of AI and the Nova ecosystem.

Lead product marketing for the Consumer Experience portfolio: own positioning and messaging, execute go-to-market plans, enable sales with assets and training, maintain AI-structured messaging, engage clients and run advisory board to drive pipeline, adoption, and revenue.

Own social strategy and execution across Instagram, TikTok, LinkedIn, YouTube, and Facebook: plan and produce platform-native content, manage daily community engagement, build influencer and UGC programs, track KPIs and reporting, optimize content via insights, maintain content calendars and production workflows, and collaborate with cross-functional teams to drive audience growth, engagement, and social-driven lead generation.

Lead channel sales for incident response and class action services by building partnerships with cyber insurers, breach coach law firms, and national legal partners. Develop referral networks of forensic and e-discovery providers, manage and expand accounts, execute channel strategy, and operate with urgency across multiple time-sensitive breach engagements to drive revenue and partner satisfaction.

Support the sales team by managing client relationships, meeting with clients online to assess needs, following up on leads, reaching out to prospects, and maintaining client data in a CRM to ensure satisfaction and growth.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.

The Staff/Principal Full Stack Engineer will design and build core web applications, backend services, and integrate AI capabilities for healthcare-focused operational tools.

Prepare and review U.S. federal, state and international tax returns; handle indirect tax compliance; prepare U.S. GAAP income tax provisions and reconciliations; maintain tax documentation and calendars; support audits and tax authority responses; conduct tax research; monitor tax law updates; partner with finance teams and assist with process improvements and special projects.

Develop, enhance, test, deploy, and maintain Microsoft Power Platform solutions (Power Apps, Power Pages, Power Automate, Dataverse). Design data models and integrations using Azure services, REST APIs, and custom connectors. Support Agile delivery, testing, migrations, documentation, deployments, security, privacy, and Section 508 accessibility compliance.

Design, build, deploy, and maintain configurable, metadata-driven analytics platforms and workflow/decision engines for Risk Adjustment. Partner with analysts to translate processes into auditable, scalable solutions; own full lifecycle, production support, monitoring, and performance optimization while applying AI where beneficial.

Lead Databricks-based enterprise data and analytics modernization programs. Define future-state architecture, drive platform modernization, ensure security, scalability, cost optimization, and mentor teams while delivering AI-ready data platforms and governance.