VP of Engineering-Peach Pilot
Peach Pilot: Technical Co-Founder / VP of Engineering
Atlanta, GA (Buckhead) | Founding Team | In-office 3 days/week
Enterprise AI transformation fails at the human layer, not the technology layer. Every AI vendor sells capability. Nobody sells trust and adoption. Peach Pilot does.
We are building an enterprise AI operating system comprised of three interconnected technologies:
- Personal AI Chief of Staff: A working partner for every employee that automates tasks and surfaces priorities.
- Hyper-Personalized Behavioral Intelligence: AI that learns communication styles and adapts in real-time to earn user trust.
- Organizational Intelligence Layer: A living knowledge graph that helps leadership see around corners and flag risks early.
Peach Pilot is a funded startup co-founded by Mario Montag (Predikto, McKinsey, PwC) and JP James (Hive Financial, Georgia Tech). We pair our platform with Forward Deployed Engineers to ensure adoption is real.
The Role
This is a co-founding hire. You will join the founding team with co-founder-level equity, accountability, and impact. We are looking for a leader who has lived the 0-to-1 experience—someone who has felt the weight of building something from nothing and the satisfaction of watching it scale.
In the first six months, you will be our most prolific technical contributor while simultaneously building the engineering culture and team around you.
The Challenge (What You’ll Solve)
You aren't inheriting a roadmap; you are architecting the foundation. The "hard problems" you will tackle immediately include:
- Agent Orchestration: Moving beyond single-model calls to complex, multi-agent coordination that survives the 6-month model replacement cycle.
- Structural Governance: Designing "Governance Agents" that act as a hard-coded audit trail for "Execution Agents."
- The Context Problem: Building a self-organizing knowledge graph using Neo4j and vector search that captures institutional memory without manual data entry.
What You Will Own & Deliver
First 90 Days: Build the Team & Culture
- Make the first critical engineering hires and define the bar for technical excellence.
- Establish foundational engineering culture: code standards, testing practices, and deployment pipelines.
- Work alongside existing architects to assess the current platform and prioritize the build-out.
Months 1–6: Architect the Operating System
- Orchestration: Own the architecture for interconnected agent orchestration and shared context layers.
- Governance: Design structurally separate execution and governance agents with full human-override capabilities.
- Intelligence: Architect the Enterprise Knowledge Graph (Neo4j + Vector search) to capture institutional memory.
- Optimization: Implement multi-model routing across LLM providers (Claude, GPT-4o, Grok) with cost-optimized task allocation.
Who You Are
- The Builder: You have built a platform from zero to one and scaled it. This is our primary filter.
- AI/ML Expert: You have shipped production AI systems that real users depend on. You understand LLM orchestration, embeddings, and vector search.
- The Mentor: You have experience growing engineering teams (from 3–5 to 15–25+) and know how to lead and mentor through those growth stages.
- Player-Coach: You are comfortable as both an architect and an individual contributor. You will ship code and review PRs alongside your team.
- Prior Exit Experience: Ideally, you have prior co-founder experience with a startup exit.
The Stack: Azure (Cosmos DB, AI Search), Anthropic Claude, OpenAI GPT-4o, xAI Grok, Neo4j, Snowflake, Python, TypeScript, and OpenClaw.
What Makes This Different
You are joining a proven founder’s second company with established domain credibility. Through strategic relationships, you will have access to production data, live workflows, and real compliance requirements from day one. We pay market rates and offer meaningful founding equity.
The clincher: Please tell us about a platform you built from zero to one: what you built, what broke, and what you learned.
Peach Pilot is an equal opportunity employer. We evaluate candidates based on their abilities, experience, and potential — nothing else.