Top Remote Senior Level Jobs in Detroit, MI

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

Own post-implementation success for complex Mid-Market customers: drive adoption of Samsara IoT products, diagnose and resolve technical issues, lead strategic engagements and workshops, recommend workflow and feature changes, and coordinate cross-functional teams to deliver measurable business value and renewals.

The role involves leading the Customer Success team, enhancing customer engagement strategies, and driving value realization for mid-market customers while fostering an inclusive team culture.

Quota-carrying technical advisor who leads discovery, designs architectures, delivers demos/PoCs, drives onboarding and adoption, monitors customer health, and expands accounts. Uses AI-augmented workflows to automate toil and focuses on delivering measurable business outcomes across the customer lifecycle.

Serve as a quota-carrying technical trusted advisor managing the full customer lifecycle: discovery, architecture, demos/PoCs, onboarding, adoption, and expansion. Drive technical engagements, present to stakeholders, automate routine tasks with AI, and evangelize Cloudflare technologies externally.

Execute on-page SEO, content optimization, and AI/AEO initiatives across a large site. Monitor site health with SEO tools, perform content audits, fix basic technical issues, publish SEO content, and support marketing teams with keyword and competitor research to improve search and AI discoverability.

Lead and scale complex product partnerships end-to-end, sourcing, negotiating, and operationalizing strategic deals that enhance DuckDuckGo products (search, Duck.ai, subscriptions). Work cross-functionally with Product, Engineering, Legal, and Finance to build first-of-their-kind integrations, create playbooks, manage partner portfolios, and drive distribution and user engagement for AI-related services.

Lead finance systems architecture and transformation initiatives: design finance technology roadmap, architect Workday integrations, implement reconciliation and close automation, evaluate finance tools, drive RPA/AI automation, coordinate cross-functional stakeholders, support month-end close and M&A system integrations, and maintain system documentation.

The Media Sales Rep will drive revenue through advertising and sponsorship, develop business partnerships, and manage a sales pipeline while collaborating cross-functionally and executing successful campaigns.

Manage client success for law firm customers: drive adoption, retention, upsells, onboarding, product utilization, and ROI case studies while feeding client feedback into product roadmap.

Design, scope, prototype, and deliver backend and full-stack features for the Retail Grocery platform. Make technical decisions, deploy AI-native experiences, engage directly with customers and iterate quickly to meet retail needs.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Manage a portfolio of enterprise customers to drive adoption of the Tufin platform and Guided Success service. Develop and execute adoption plans, monitor customer health and success metrics, coordinate cross-functional teams (TAMs, Professional Services, Support, Sales), handle escalations, support renewals and expansions, and represent customer feedback to Product Management.

Serve as a client-facing compensation partner advising senior leaders and HR on program design, market benchmarking, job pricing, review cycles, and global practices. Perform data-driven analysis, recommend competitive and fair solutions, design enterprise compensation programs, support recruiting and new hire offers, and deliver training and change management.

Lead strategy and architecture for the enterprise knowledge/context layer powering AI: set standards, control models, connector strategy, and federated operating models. Ensure content is AI-ready, permissions-aware, and measurable for retrieval and grounding. Partner with IT, Engineering, Legal, Privacy, and Security to define eligibility, sensitivity, and lifecycle policies and drive adoption across domains.