we are looking for a AI Adoption Engineer.
Responsibilities:
1. Use Case Discovery & Prioritization
Embed with non-R&D teams (CS, Sales, Marketing, Finance, HR, Operations) to understand workflows and identify where AI creates the highest leverage.
Define and prioritize whats worth building, maintaining a live backlog aligned with VP of AI.
Good discovery is the difference between automation that gets used and automation that gets ignored.
2. AI Tool Development & Delivery (~40%)
Build custom tools, workflow automations, Cowork skills, and AI integrations with existing business systems.
Validate with real users, iterate on adoption signals, and transition stable tools to team ownership.
This role leads by shipping. Working tools – not proposals – are the primary output.
3. Enablement & Adoption
Ensure tools get used: onboarding sessions, playbooks, and hands-on support through behavior change.
Build team confidence and self-sufficiency over time; avoid creating dependency on a single person.
4. AI Landscape Awareness
Evaluate new models, tools, and capabilities for internal relevance and bring what matters back to Navina.
Collaborate with VP of AI to maintain a current roadmap for internal AI operations.
Responsibilities:
1. Use Case Discovery & Prioritization
Embed with non-R&D teams (CS, Sales, Marketing, Finance, HR, Operations) to understand workflows and identify where AI creates the highest leverage.
Define and prioritize whats worth building, maintaining a live backlog aligned with VP of AI.
Good discovery is the difference between automation that gets used and automation that gets ignored.
2. AI Tool Development & Delivery (~40%)
Build custom tools, workflow automations, Cowork skills, and AI integrations with existing business systems.
Validate with real users, iterate on adoption signals, and transition stable tools to team ownership.
This role leads by shipping. Working tools – not proposals – are the primary output.
3. Enablement & Adoption
Ensure tools get used: onboarding sessions, playbooks, and hands-on support through behavior change.
Build team confidence and self-sufficiency over time; avoid creating dependency on a single person.
4. AI Landscape Awareness
Evaluate new models, tools, and capabilities for internal relevance and bring what matters back to Navina.
Collaborate with VP of AI to maintain a current roadmap for internal AI operations.
Requirements:
3-5 years in a technical role (engineering, solutions engineering, product, or similar) with demonstrated ability to ship software independently.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, Google, or equivalent).
Strong product instincts – knows whats worth building and can make scope decisions without over-engineering.
Python proficiency: scripting, API integration, automation pipelines.
Experience with workflow automation tools (Zapier, Make, n8n, or similar).
Clear communicator across technical and non-technical audiences; self-directed and comfortable with ambiguity.
Optional / Nice-to-Have:
Experience in digital health, healthcare IT, or a regulated industry.
Familiarity with Claude for Work, Cowork, NotebookLM, or Base44.
Background in solutions engineering, technical consulting, or B2B SaaS product management.
Startup or scale-up experience.
3-5 years in a technical role (engineering, solutions engineering, product, or similar) with demonstrated ability to ship software independently.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, Google, or equivalent).
Strong product instincts – knows whats worth building and can make scope decisions without over-engineering.
Python proficiency: scripting, API integration, automation pipelines.
Experience with workflow automation tools (Zapier, Make, n8n, or similar).
Clear communicator across technical and non-technical audiences; self-directed and comfortable with ambiguity.
Optional / Nice-to-Have:
Experience in digital health, healthcare IT, or a regulated industry.
Familiarity with Claude for Work, Cowork, NotebookLM, or Base44.
Background in solutions engineering, technical consulting, or B2B SaaS product management.
Startup or scale-up experience.
This position is open to all candidates.
