Top Remote Senior Level Jobs in Detroit, MI

Serves as a strategic partner to founders and executives by managing priorities, filtering decisions, translating vision into organizational action, preparing high-stakes meetings, synthesizing business reporting, coordinating stakeholders, identifying risks, supporting planning and resource allocation, drafting executive communications, managing confidential information, and leading special projects. The role also owns client satisfaction and evaluates whether engagements continue to meet evolving executive needs.

Build and operate custom AI agents for private-market clients end to end, from discovery and requirements through deployment, rollout, adoption, and ongoing iteration. Design agentic systems with retrieval, context design, tool and MCP integrations, orchestration, evaluation, observability, and cost controls. Work directly with clients, make product and engineering trade-offs, manage cloud infrastructure, document solutions, train users, and mentor less experienced engineers.

Lead ambiguous, cross-functional strategic initiatives from problem definition through execution and measurable outcomes. Architect workstreams, establish ownership and timelines, deploy AI-enabled approaches, align internal and external stakeholders, and drive accountability without formal authority. The role partners closely with the CEO and executive team to improve operational leverage, resolve strategic misalignment, and build scalable coordination systems.

Designs, implements, operates, and optimizes database and data-management systems supporting classified intelligence missions. Responsibilities include data architecture, SQL and NoSQL database administration, query and throughput optimization, ETL pipeline optimization, performance monitoring, capacity planning, documentation, backup and restore, audit logging, and continuity planning. The role requires onsite work in the Washington, DC region, U.S. citizenship, and a final Top Secret clearance with SCI eligibility or access.

Build and own Dia’s enterprise administration products, including the Admin Console, entitlement and provisioning APIs, identity and policy configuration, usage metering, commerce integrations, and Atlassian Admin Hub integration. Partner with platform and client engineers to deliver enterprise features across web and native clients, establish technical direction, and shape the enterprise roadmap in a high-ambiguity startup environment.

Develop and manage a long-form video channel focused on Alaska, sustainable seafood, outdoor life, and culinary storytelling. Responsibilities include finding and researching stories, conducting pre-interviews, managing end-to-end production, directing shoots, guiding edits, planning YouTube series and distribution, overseeing short-form content, analyzing performance data, managing two direct reports, and protecting brand integrity. The role requires strong documentary development, production knowledge, creative leadership, and approximately 30% travel.

Leads and develops an engineering team building, deploying, and operating machine-learning models and services for fraud prevention. Owns roadmap delivery, technical decisions, reliability, testing, monitoring, and stakeholder communication. Partners with data scientists, ML engineers, product, risk, and engineering teams. Drives responsible AI-tool adoption, recruits and coaches engineers, manages priorities, and ensures scalable, high-quality production systems.

Owns the hardware lifecycle for GPU and infrastructure assets, including fleet health monitoring, vendor RMA workflows, firmware and BIOS upgrades, burn-in testing, failure investigation, inventory accuracy, capacity planning, spare-parts strategy, runbook creation, and new platform qualification. The role serves as the technical owner of physical compute platforms and supports high-density GPU infrastructure across sites.

Own GTM strategy and operations, including KPI dashboards, revenue planning, quota tracking, forecasting, business reviews, and process optimization. Partner cross-functionally with Sales, Finance, Marketing, Product, and Customer Success to improve data integrity, operational efficiency, and growth. Build AI agents to automate recurring workflows and reporting. Use analytics and customer engagement metrics to generate actionable recommendations and drive measurable business outcomes.

Serves as the primary technical authority throughout enterprise sales cycles, supporting discovery, solution design, demonstrations, RFPs, scoping, and delivery estimates. Bridges Sales, Marketing, Partner IT, Product, and Engineering teams; evaluates integrations and technical compatibility; troubleshoots partner issues; and contributes to roadmap prioritization. Oversees technical documentation, integration roadmaps, implementation handoffs, and partner-facing knowledge resources. Requires SaaS or fintech sales engineering experience, integration expertise, and end-to-end onboarding ownership.