Top Remote Senior Level Jobs in Ann Arbor, MI

Own paid media strategy and execution, beginning with Meta and expanding across major advertising platforms. Build, launch, optimize, and analyze full-funnel campaigns focused on leads, sales, CAC, ROAS, and profitability. Manage budgets, tracking, attribution, dashboards, reporting, and structured testing. Collaborate with creative, copy, funnel, sales, and coaching teams while recommending platform expansion and using AI to improve efficiency.

Owns cross-functional strategic programs, value-creation initiatives, AI transformation, organizational effectiveness, executive reporting, board materials, and strategic planning. Establishes governance, roadmaps, KPIs, operating cadences, and accountability frameworks while driving complex initiatives from scoping through measurable outcomes. Partners with executives and business leaders to identify AI opportunities, build business cases, support adoption, and scale new processes. May also support M&A integration planning and integration PMO leadership.

Own the full B2B SaaS sales cycle, from prospecting and qualification through discovery, demos, trials, negotiation, and close. Build qualified pipelines across the U.S. and Europe, develop customer relationships, test and improve sales messaging and processes, address objections, document the sales motion, and share customer feedback with product and leadership teams.

Lead content strategy and editorial operations for a digital magazine and web content: commission, write/edit, manage a multimedia editorial team, own P&L, grow advertising and sponsorship revenue, oversee design and digital publishing, hire and develop staff, and represent the magazine at industry events.

Designs and manages scalable GCP platforms for enterprise applications including Netcracker, Alepo, and Axiros. Responsibilities include developing Terraform infrastructure, CI/CD pipelines, upgrade automation, internal developer platforms, incident management, root cause analysis, performance optimization, rightsizing, and security guardrails. The role supports cross-functional engineering teams and participates in on-call rotations to maintain high service availability.

Leads marketing operations strategy and execution, including lifecycle management, lead scoring, routing, marketing technology, attribution, campaign tracking, reporting, data enrichment, privacy, and compliance. Partners with Sales Operations, Revenue, Data, Legal, and Marketing teams to optimize funnel performance, improve data quality, implement tools, and deliver actionable pipeline and ROI insights.

Own end-to-end analytics across marketing, revenue, product, and partnerships. Build reliable data models and semantic layers in a lakehouse, maintain dashboards and monitoring, investigate anomalies, conduct experimentation, and translate complex analyses into recommendations for senior stakeholders. The role requires advanced SQL, Python, data modeling, stakeholder communication, autonomy, and mentoring, with responsibility for improving data quality and building analytical standards in a high-growth startup.

Designs, administers, and optimizes data systems supporting FSA IAM applications. Develops migration plans from legacy AIMS and PAS systems, creates data models, mappings, layouts, dictionaries, and integration processes, and supports analytics and fraud detection. Manages database configuration, performance tuning, monitoring, backups, capacity, secure data handling, encryption, network data flows, token management, and documentation while collaborating with development, security, and operations teams.

Manage and grow strategic retail accounts by building buyer relationships, executing joint business plans, expanding distribution, managing promotions and trade spend, forecasting sales, and coordinating cross-functionally to drive profitable growth and improve on-shelf velocity.

Designs enemies and NPC behaviors for a high-mobility multiplayer action game. Creates design specifications and technical documentation, collaborates with designers and engineers on scripting and behavior trees, analyzes player data and feedback to improve AI, coordinates dependencies with producers, and pitches new AI concepts to leadership.