Top Remote Senior Level Jobs in Detroit, MI

The Lead AI Insights Engineer will develop and deploy AI solutions in healthcare, focusing on unstructured data processing and clinical outcomes, collaborating across teams.

Coordinates competitive proposals, RFPs, RFQs, municipal bids, and qualifications while supporting capture planning, business development, pipeline tracking, and process improvement. Manages schedules, compliance matrices, content libraries, reviews, submissions, bid portals, CRM records, dashboards, and debriefs. Partners with technical, sales, operations, legal, pricing, and leadership teams to develop accurate, compliant, client-ready materials and improve pursuit workflows, automation, and standardization.

Leads enterprise risk management and business resilience, including risk assessments, business continuity, crisis management, risk appetite, issue oversight, aligned assurance, strategic risk analysis, and executive and Board reporting. Manages risk teams, strengthens governance frameworks, coordinates with Internal Audit and other control functions, oversees exercises and incident escalation, and embeds risk and resilience practices across the enterprise.

Leads high-volume SaaS customer implementations from kickoff through launch, including architecture discovery, CRM and data warehouse configuration, integrations, workflow setup, enablement, and milestone tracking. Manages delivery risks, coordinates with Customer Success and engineering teams, conducts training, and ensures effective handoffs. The role also identifies implementation patterns and improves shared playbooks, documentation, and delivery processes.

Leads Zoom’s technical SEO and AEO roadmap across CMS platforms, web applications, APIs, and frontend frameworks. Owns crawlability, indexability, rendering, structured data, performance, sitemaps, redirects, and internal linking. Builds reusable SEO services, automation, monitoring, dashboards, and CI/CD quality gates. Establishes technical standards and partners with SEO, Engineering, Product, Marketing, and Content teams to improve organic visibility, acquisition, pipeline, and revenue across search engines and AI discovery platforms.

Own the growth technology roadmap across marketing, engineering, data, and product teams. Lead testing and QA for tracking and integration launches, manage customer data platform destinations and audience synchronization, maintain mobile measurement and attribution integrations, and oversee SDK upgrades and vendor onboarding. Ensure reliable event tracking, data quality, consent compliance, and accurate paid-media reporting while coordinating cross-functional programs and resolving technical issues.

Designs, operates, secures, and optimizes an enterprise Lakehouse data platform supporting analytics, AI, and data products. Responsibilities include platform administration, governance, access controls, performance optimization, monitoring, disaster recovery, Infrastructure-as-Code, CI/CD, cost optimization, capacity planning, compliance, and collaboration with cloud infrastructure and data teams. The role also provides technical leadership across multifunctional projects and requires occasional travel.

Leads an Air Force contract and Program Management Office overseeing task orders, staffing, deployments, subcontractors, security, procurement, quality, safety, property, cost, schedule, and performance. Manages geographically dispersed CONUS and OCONUS operations, rapid mobilization, compliance with government and DoD requirements, customer relationships, risk reporting, and 24/7 responsiveness. Ensures deployed personnel meet clearance, training, medical, qualification, and readiness standards.

Leads strategy, governance, performance, and growth for strategic technology partnerships. Develops joint business plans, go-to-market initiatives, KPIs, and investment cases while coordinating Product, Sales, Marketing, Services, Finance, Legal, and Operations. Builds executive relationships, manages escalations, oversees contractual commitments and renewals, and drives measurable partnership outcomes across B2B software ecosystems.

Build and operate reliable backend systems for complex government and enterprise data integrations. Responsibilities include designing bidirectional integrations, asynchronous workflows, retries, idempotency, observability, operational automation, debugging production systems, and creating reusable reliability patterns. The role involves TypeScript and Node.js development, database work, partner collaboration, mentoring, and improving support efficiency in a fully remote environment.

Own the full enterprise sales cycle for Tavily’s AI-powered search and data platform, from prospecting through close. Build strategic relationships with technical and executive stakeholders, manage complex evaluations and negotiations, develop account plans, forecast pipeline, and expand customer accounts. Partner with Sales Engineering and Product on technical validation, proof-of-concepts, onboarding, customer feedback, and scalable enterprise sales processes.