Change by Degrees

AI Engineer

• Design, build, and ship AI-powered applications end-to-end — spanning backend, data, APIs, and lightweight UI
• Establish the foundation of the Enterprise AI Platform on Azure
• Turn ambiguous business problems across multiple teams into working solutions using AI-native development tools
• Build and scale the AI Platform on Azure (multi-region)
• Own core components: APIM, identity, networking, observability, data
• Establish CI/CD, IaC, testing, and deployment standards
• Integrate with internal and third-party systems (CRM, CX platforms)
• Work with tools like Zendesk, Genesys, Intercom, Microsoft 365
• Build APIs, webhooks, and event-driven systems
• Embed GDPR, ISO 27001, SOC 2 (and others) into the platform
• Partner with Security/GRC on data protection and access control
• Partner with Product on roadmap and build-vs-buy decisions
• Document systems, architecture, and processes
• Monitor production systems and improve performance, cost, and reliability

Full Stack AI Engineer

Customer Support

• Deliver tailored member onboarding experiences, including unboxing, activation, and app navigation, ensuring members are fully supported.
• Conduct personalized 1:1 high-touch activation experience tailored to each member’s unique needs, guiding them from unboxing through app setup.
• Educate members on how to get the most out of the insights Oura offers.
• Manage a dedicated enterprise support line, facilitating seamless member handoffs and providing consultative guidance.
• Serve as an escalation point for partner help desks, resolving complex member issues and technical inquiries.
• Oversee logistics for orders, exchanges, refunds, and warranty replacements.
• Troubleshoot and resolve hardware and software issues effectively.
• Work closely with operations and customer success teams to ensure consistency and efficiency across all client interactions.

Customer Success Support Specialist

• Deliver tailored member onboarding experiences, including unboxing, activation, and app navigation, ensuring members are fully supported.
• Conduct personalized 1:1 high-touch activation experience tailored to each member’s unique needs, guiding them from unboxing through app setup.
• Manage a dedicated enterprise support line, facilitating seamless member handoffs and providing consultative guidance.
• Serve as an escalation point for partner help desks, resolving complex member issues and technical inquiries.
• Oversee logistics for orders, exchanges, refunds, and warranty replacements.
• Troubleshoot and resolve hardware and software issues effectively.
• Resolve membership discrepancies and escalate eligibility issues to partners for swift correction.
• Work closely with operations, and customer success teams to ensure consistency and efficiency across all client interactions.

Customer Success Support Specialist – Remote USA

• Build and ship end-to-end AI applications (backend, data, APIs, UI)
• Turn ambiguous problems into working software quickly
• Use AI-native tools to accelerate delivery
• Apply key AI patterns (RAG, agents, prompt engineering, evaluation)
• Build and scale the AI Platform on Azure (multi-region)
• Own core components: APIM, identity, networking, observability, data
• Establish CI/CD, IaC, testing, and deployment standards
• Integrate with internal and third-party systems (CRM, CX platforms)
• Work with tools like Zendesk, Genesys, Intercom, Microsoft 365
• Build APIs, webhooks, and event-driven systems
• Embed GDPR, ISO 27001, SOC 2 (and others) into the platform
• Partner with Security/GRC on data protection and access control
• Partner with Product on roadmap and build-vs-buy decisions
• Document systems, architecture, and processes
• Monitor production systems and improve performance, cost, and reliability

• This is the first software engineering hire at Otonomee and a key role in building the company’s AI capability and platform
• You will report to the CTO, with a dotted line to the Product Builder
• You will design, build, and ship AI-powered applications end-to-end — spanning backend, data, APIs, and lightweight UI — while establishing the foundation of the Enterprise AI Platform on Azure
• In the early phase, this role is highly hands-on
• You will turn ambiguous business problems across multiple teams into working solutions using AI-native development tools
• As the team grows, the role will evolve toward platform architecture, integrations, and technical leadership