Top Remote Senior Level Jobs in Detroit, MI

Embed with enterprise customers to design and build AI-powered creative workflows using ElevenLabs tools. Produce reference content, prototypes, templates, and case studies; train and consult with creative teams; inform product roadmap with field insights; evangelize the platform externally.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.

The Marketing Operations Manager will optimize marketing tech stack for enterprise go-to-market, manage data flows, execute campaigns, and deliver insights to guide strategies.

As an Engineering Manager, you'll lead the Reporting team, driving technical and product strategy, managing engineers, and collaborating across functions to enhance Vanta's reporting capabilities and product innovations.

Lead platform reliability for a high-volume OMS: drive automation, self-healing, observability, incident management, RCA, performance tuning, and mentor support engineers while partnering with engineering and vendors.

Provide legal guidance for product development and commercialization: create templates and playbooks, manage IP and open source compliance, mitigate product lifecycle risks, coordinate legal input for launches, advise product, engineering and business teams, and monitor relevant technology regulations.

Drive Cohere's AWS-sourced and AWS-influenced partner pipeline. Define and execute partner GTM for the Enterprise Market; recruit, onboard, enable and certify partners; lead co-selling, joint pipeline generation, business planning and QBRs; relay partner feedback to product and policy teams and evangelize Cohere at events.

Lead architecture and execution of Faire's data platform and analytics capabilities. Build and operate scalable, secure ETL/ELT, streaming, storage, compute, orchestration, and data warehousing at petabyte scale. Drive performance, cost, monitoring, governance, and self-serve analytics; influence cross-functional teams and mentor engineers.

Own technical success for top-tier customers by acting as their technical point of contact, ensuring platform health, scalability, and performance. Lead handoffs, manage escalations and incidents, provide architecture and optimization recommendations, triage product issues, and translate customer insights into product improvements while coordinating cross-functional teams.

Provide technical support via tickets, chat, and forums; diagnose workflow, integration, and performance issues; escalate to engineering; create documentation and knowledge base; improve product reliability and contribute to the community.

Lead design, automation, and maintenance of highly available AWS infrastructure. Build CI/CD pipelines, manage container orchestration (EKS/Kubernetes), optimize cost and performance, enforce cloud security best practices (IAM, encryption, network controls), maintain infrastructure docs, and configure CDNs for content delivery.

Design, build, and manage scalable GCP cloud infrastructure, including compute, storage, networking, Kubernetes, monitoring, and IAM. Automate provisioning with Terraform, improve platform reliability, security, performance, and cost efficiency, and support disaster recovery. The role also documents infrastructure practices, collaborates across technical teams, and mentors junior engineers.

Build and maintain responsive web and mobile interfaces with React.js or React Native while integrating AI and LLM capabilities. Develop prompts, AI agents, copilots, chatbots, RAG workflows, and intelligent assistants using Python and agent frameworks. Collaborate with product, UX, and backend teams, contribute to architecture and code reviews, optimize performance, and evaluate emerging UI and AI technologies.

Build and productionize AI systems for logistics: multi-agent copilots, forecasting/optimization models, evaluation and observability, continuous learning loops, and operational reliability. Mentor engineers and make build-vs-rule tradeoffs while shipping high-impact ML services.

Own technical pre-sales for enterprise delivery deals: run discovery, build tailored demos and POCs, guide engineering through API integrations to first live orders, produce integration specs, respond to RFPs/security questionnaires, and hand off to post-sales while informing product roadmap.