Top Remote Senior Level Jobs in Ann Arbor, MI

As a Technical Customer Success Manager, you'll lead customer onboarding, provide technical guidance on scheduling software, manage pilot projects, and foster customer relationships to enhance adoption and retention. You will also analyze customer engagement to identify opportunities for improvement and act as their advocate within the company.

Lead design, development, and productionization of ML and LLM systems for patient- and provider-facing healthcare products. Own end-to-end workflows: problem scoping, data, modeling, evaluation, deployment, monitoring, and clinical guardrails. Build evaluation frameworks, infrastructure, and tooling; partner with clinicians and product; mentor engineers and set technical direction to deliver safe, impactful AI features for clinical care.

The Senior Backend Engineer will lead client projects, build AI solutions, and develop technical standards while mentoring junior engineers.

Provide in-house legal counsel across commercial contracts, data privacy and AI compliance, IP and licensing, employment matters, corporate governance, M&A support, and legal ops for a global AI-native SaaS company.

Lead Developer responsible for the health and reliability of SaaS platforms, managing incident triage, problem management, and team leadership while implementing AI tools.

Design and maintain scalable data pipelines, ensuring accuracy and reliability. Collaborate with engineers to optimize data systems and enforce best practices.

The Senior Enterprise Account Executive will manage the full sales cycle, sell into complex organizations, deliver product demos, and maintain relationships with enterprise customers, focusing on marketing technology and AI solutions.

Lead and coach a team of Technical Customer Support Specialists; own escalation playbooks, KPIs, and L2 technical investigations. Partner with Product and Engineering to resolve systemic issues, hire and onboard new reps, and ensure empathetic clinician-centered support.

Lead end-to-end M&A integrations across multiple acquisitions, translating deal theses into operational plans, driving cross-functional workstreams (product, engineering, finance, G&A), tracking synergies and risks, executing IT and HR integrations, and partnering with executive stakeholders to realize deal value and improve integration playbooks.

As a Senior AI Platform Engineer, you will design and build production software for AI Employees, manage technical delivery for client implementations, and ensure system reliability and performance.