Top Remote Senior Level Jobs in Ann Arbor, MI

Manage a caseload of defined contribution clients (PEP and 402(a)), maintain client/advisor relationships, ensure plan compliance and testing, consult on plan design and operations, coordinate with internal teams and record-keepers, and meet weekly team goals to deliver superior client service.

Design, build, and optimize AWS/Kubernetes infrastructure and CI/CD pipelines; troubleshoot production incidents; lead end-to-end infrastructure projects; establish deployment standards and operational procedures; mentor engineers; monitor observability, security, and access controls to reduce risk and improve developer productivity.

Lead and execute complex, high-volume onboarding portfolios (up to 25+), including enterprise and multi-location accounts. Provide high-touch on-site support as needed, ensure high customer satisfaction, own partnership tooling and workflows, mentor junior onboarding managers, improve handoffs and processes cross-functionally, and take ownership of revenue outcomes tied to launches.

Lead systems enablement for newly acquired business units: configure Salesforce, HubSpot, NetSuite, and CPQ; support billing/revenue operations; drive change management, training, and adoption; build playbooks and AI-assisted enablement materials; collaborate with Finance, Sales Ops, IT, and Data teams to ensure accurate integrations and smooth onboarding.

Own annual revenue planning and monthly forecasts for enterprise customers, design lead-to-cash workflows in HubSpot, build Power BI dashboards and predictive models (DAX), manage forecast governance, coordinate non-standard pricing with Deal Desk, and translate data into executive insights to drive upsell, retention, and churn mitigation.

Document a single complex recurring multi-week task you own end-to-end (exact thresholds, escalation paths, tools, failure modes). Complete a structured form (~10 hours total) and participate in a short AI-driven interview and assessment. Remote short-term 1099 contract for US-based executive support professionals.

Provide expert software engineering to improve and optimize codebases used for AI training: bug fixes, feature development, refactoring, performance tuning, architecture recommendations, documentation, and cross-functional collaboration to support scalable AI training workflows.

Provide advisory accounting and finance support to SMB clients: analyze financial data, answer complex bookkeeping and reporting questions, and deliver recommendations based on financial statement analysis.

Lead day-to-day SOC operations, manage and coach SOC analysts, serve as Incident Commander for major incidents, enforce playbooks and QA, drive SLA performance and KPI reporting, and implement process and tooling improvements to mature SOC capabilities in a 24x7, shift-based managed services environment.

Lead and grow an enterprise analytics practice for B2B commerce and marketing: define measurement strategy, implement tracking and data ecosystems, build KPI frameworks and dashboards, ensure data governance and quality, mentor analysts, deliver insights that drive client decisions and business outcomes, and support client growth and proposals.

Architect and deliver enterprise solutions across hybrid/multi-cloud environments. Lead cloud migrations (hands-on), design conceptual/logical/physical architectures, ensure compliance with security and governance, mentor architects, collaborate with domain and enterprise teams, and evaluate emerging technologies to meet business needs.

Architect and design fraud solutions across channels (payments, cards, onboarding, contact center). Collaborate with enterprise and domain architects, Agile teams, and stakeholders to create compliant, scalable architectures, integrate fraud engines, build AI/ML models, and support AML/BSA capabilities while managing risk and governance.

Own and optimize post-acquisition lifecycle marketing across email, SMS, and CRM. Build automated journeys (onboarding, renewal, win-back, referral), segment audiences, run A/B tests, analyze performance, partner with Product/Data/Engineering, improve retention and LTV, and ensure compliant, high-converting customer communications.