AI Technology Strategist & Implementation Lead

AI TECHNOLOGY STRATEGIST & IMPLEMENTATION

Lead Type: Full-time

Location: Remote/Hybrid (Eugene OR area preferred)

Role Overview

Forward-deployed AI specialist responsible for identifying evaluating and implementing AI solutions that drive measurable business outcomes. This role combines technology scouting systems integration and hands-on implementation to build operational leverage across multiple ventures. You will own the complete lifecycle from technology discovery through deployment acting as the technical extension of leadership. Core Responsibilities Technology Intelligence & Evaluation (35%) Monitor AI landscape continuously for emerging tools platforms and capabilities Maintain pipeline of technologies at different maturity stages (experimental to mainstream) Run proof-of-concepts and pilot programs to test real-world applicability Develop standardized evaluation frameworks (cost implementation complexity ROI integration requirements) Create business cases for promising technologies with clear migration costs and timelines Technical Implementation (35%) Build and deploy automation systems using Make/Zapier Clay Airtable and API integrations Develop data pipelines lead scoring algorithms and intelligent routing workflows Create voice agents chatbots and customer-facing AI solutions Audit existing technology stacks across all ventures and document integration points Implement webhook integrations and manage technical workflows across platforms Strategic Operations (30%) Map new technologies to specific business use cases and pain points Build internal dashboards reporting systems and performance tracking tools Create implementation roadmaps and process documentation Work cross-functionally to identify automation opportunities and efficiency gaps Train teams on new tools and build internal AI literacy grounded in practical implementation Required Technical Stack Proficiency Core Platforms: Framer Clay Make/Zapier Airtable Notion Asana AI Tools: Claude API ChatGPT various AI automation platforms Integration Skills: Webhooks APIs data pipeline creation system architecture Analytics: Dashboard creation data visualization performance tracking Essential Skills & Attributes Technical Competencies 2 years building with no-code/low-code automation platforms Proven ability to integrate multiple tools into seamless workflows Deep understanding of AI capabilities and limitations across different use cases Experience auditing technology stacks and identifying integration opportunities Comfortable with APIs webhooks and custom integrations Strategic Thinking Can connect technology capabilities directly to business outcomes Develops ROI-focused business cases with realistic implementation timelines Identifies bottlenecks and implements systematic solutions Balances innovation with practical constraints (budget time existing systems) Product manager mindset focused on user experience and measurable results Work Style Requirements Extreme ownership mentality: you own outcomes not tasks High agency and bias toward action: you build to test not theorize Comfortable with ambiguity and rapid iteration Works at startup pace while maintaining quality standards Self-directed learning: you stay current without being told Research & Evaluation Skills Systematic approach to evaluating new technologies against existing infrastructure Can separate signal from noise in rapidly evolving AI landscape Creates clear documentation that others can use and maintain Conducts thorough pilots with measurable success criteria Makes data-driven recommendations with transparent reasoning Success Metrics Speed: Average time from technology discovery to implemented solution Quality: System reliability user adoption rates and measurable efficiency gains Impact: Documented time/cost savings and revenue contribution from implementations Learning: Internal capability building and team AI literacy improvements Ideal Candidate Profile You are the person who experiments with new AI tools before they are mainstream. Your GitHub is full of proof-of-concepts testing can X do Y You follow AI communities actively and get genuinely excited about beta releases. You build things to see if they work not because there is a clear ROI yet. You thrive in fast-paced environments where you own entire functions from strategy through execution. You are equally comfortable building technical solutions and explaining them to non-technical stakeholders. You have strong opinions on tool selection but change your mind quickly when data says otherwise.

Background Indicators:
-Active in AI communities (Discord Twitter GitHub LinkedIn)
-Multiple side projects using different AI APIs and platforms
-Self-taught on new frameworks and tools
-Comfortable discussing projects that failed and what you learned
-Speed over perfection: you prototype fast to test hypotheses
-Previous experience at high-growth startups or agencies preferred

You Are Not:
-Someone who waits for perfect requirements before starting
-Someone who needs extensive management or direction
-Someone afraid to recommend against hyped technologies when data does not support
them
-Someone who builds without measuring outcomes