John Kipe
Athens, GA, US | Open to Remote / Hybrid | hello@moreproof.io | john.kipe@gmail.com | (762) 234-0747 | linkedin.com/in/jkipe | github.com/HowdyDooToYou | moreproof.dev
Target Roles
AI Systems Architect | Applied AI Engineer | Solutions Architect, AI / GenAI | Customer Success AI Architect | Revenue Operations Systems Designer
Professional Summary
AI Systems Architect with 10+ years in SaaS customer success, revenue operations, and cross-functional delivery. Built and deployed 13+ production AI agents across Glean, Gemini, and UnifyApps, translating ambiguous business workflows into secure, scalable AI solutions with guardrails, observability, and measurable outcomes. Combines product sense, Python-based agent development, LLM orchestration, API integration, and operational rigor to deliver production-grade agentic systems for revenue organizations.
Core Competencies
- AI systems architecture, agentic workflow design, and production deployment
- Applied GenAI for customer success, sales, revenue operations, and post-sales workflows
- RAG pipelines, multi-agent orchestration, model routing, guardrails, and evaluation frameworks
- Enterprise system integration across CRM, support, telemetry, data warehouse, and productivity platforms
- Revenue operations strategy, customer health scoring, renewal risk, and expansion planning
- Technical validation, stakeholder enablement, governance, and operational documentation
Technical Skills
AI and Agent Platforms: Glean, Claude, OpenAI, Gemini, UnifyApps, OpenRouter, Kilo Gateway, Hermes Agent, OpenClaw, Kilo Code, MCP/ACP protocols
Agent Engineering: Python, FastAPI, Flask, REST APIs, webhooks, RAG pipelines, LLM orchestration, multi-model routing, prompt libraries, guardrails, evaluation frameworks
Enterprise Systems: Salesforce, Totango, Gong, Zendesk, Tableau, Snowflake, Google Drive, Slack, SSO, SAML, OAuth, JWT, API gateways
Delivery Practices: Agile delivery, iterative releases, backlog management, cross-functional collaboration, change management, security compliance, observability
Shipped AI Projects
Transition Readiness Agent | Glean Agent | Docebo
Built a state-managed RAG pipeline that synthesizes Salesforce, Gong, Totango, Zendesk, Tableau, Snowflake, and Google Drive signals into structured customer handoff packets. The agent initiates account lookup via SOQL, extracts account signals, applies branching logic by customer segment, and flags quality risks before they become churn events.
REACH Scoring Agent | Glean Agent | Docebo
Adapted the REACH framework into a deterministic scoring engine across five dimensions, using base scores plus additive modifiers tied to concrete signals from Gong, Totango, and Salesforce. Produces scorecards with narrative justifications for human review, Slack notifications, one-click Totango write-back, and historical tracking across 1,200+ accounts.
Production Glean Agent Suite | 13+ Agents | Docebo
Built 13+ production AI agents across Glean, Gemini, and UnifyApps, including CS-to-SA Validator, Renewal Plan Generator, Pre-Call Briefing Agent, and Product FAQ Agent. Developed prompt libraries, evaluation frameworks, and internal training materials that drove a 40%+ increase in AI adoption across the organization.
Personal Agentic Infrastructure | OpenClaw
Architected and operate 25+ autonomous agents for research polling, GitHub repository monitoring, automated code review, content production, and web monitoring. Demonstrates multi-agent orchestration, model routing through OpenRouter, and Kilo Gateway operating patterns.
Professional Experience
- Built and deployed 13+ production AI agents automating lead-to-cash workflows across Sales, Customer Success, and Revenue Operations, with measurable impact across a $70M ARR portfolio.
- Designed state-managed RAG pipelines synthesizing data from 8+ enterprise systems, including Salesforce, Totango, Gong, Zendesk, Tableau, Snowflake, and Google Drive.
- Engineered deterministic scoring models with branching logic and role-based data access, establishing evaluation criteria, quality control patterns, guardrails, and deployment readiness for business-facing agents.
- Partnered with IT, data, security, and platform teams to implement secure AI solutions with access controls, monitoring, and reliability practices across regulated enterprise environments.
- Created executive- and field-ready assets including AI agent collections, Confluence playbooks, enablement sessions, and recurring best-practice communications supporting adoption at scale.
- Contributed product and roadmap feedback by translating field needs into actionable AI use cases, including FAQ agents, roadmap briefings, and concept proposals for expertise capture and agent training.
- Managed a 15-person team across 1,000+ accounts and $65M-$70M ARR; delivered 88% renewal rates against an 85% target while improving NDR from 78% to 98%.
- Architected enterprise solution-validation workflows and pioneered Docebo Flow, securing the first customer conversion for the solution consulting model.
- Built and led a 10-person team; increased adoption by 23% and upsell rates by over 61% versus the prior CXM model.
- Secured multi-million dollar renewals for Thomson Reuters and Capital One; achieved 180% renewal rate across a strategic portfolio.
- Rehired to drive growth, retention, and overall health of Docebo's large enterprise and corporate clients.
- Established foundational customer success playbooks that scaled across the growing MidMarket segment.
- Partnered with sales to ensure smooth post-sale transitions and rapid time-to-value for new enterprise logos.
- Managed a 22-person cross-functional team, including Support, CSM, AM, PM, and Engineering, supporting up to 19K SaaS customers for Amazon advertisers at $5-$1,200 per month tiers.
- Directed knowledge base creation, education, and onboarding; led bug triage, backlog management, and small feature work alongside the core development team.