Forward Deployed Engineer-Peach Pilot

PEACH PILOT

Enterprise AI for Everyone, Not Just Engineers

 

Forward Deployed Engineer

Atlanta, GA (Buckhead) / Hybrid  |  Reports to CEO  |  3+ Years Experience

 

The Company

Peach Pilot is an enterprise AI operating system. The platform deploys interconnected AI agents into enterprise workflows, agents that share context, coordinate across functions, and compound in intelligence over time. We frame AI as a collaborator that augments human capability, not a tool that replaces it.

95% of enterprise AI pilots fail. The failure is not technical. It is human. Employees don’t trust AI output. They ignore it, redo the work manually, or resist quietly. Every AI vendor sells capability. Nobody sells trust and adoption. Peach Pilot does.

The platform is designed for everyday users. No coding, no configuration, no IT dependency. If someone can send an email, they can use Peach Pilot. We combine the AI operating system with Forward Deployed Engineers who embed with teams and guide organizations through adoption, not by building systems and walking away, but by helping every employee trust and use AI in their daily work.

Peach Pilot is a fully independent, funded startup headquartered in Buckhead, Atlanta. Co-Founded by Mario Montag (CEO, previously founded Predikto, an ML company acquired by a Fortune 50; former McKinsey and PwC) and JP James (Co-Founder, Chairman of Hive Financial Assets, Georgia TITAN 100, teaches AI at Georgia Tech, and has scaled multiple companies to $100M+ in revenue).

The technology was never the problem. Adoption is the problem. The companies that figure out how to make their people trust and use AI will win. The ones that don’t will keep buying pilots that fail.

 

The Role

You are the human bridge between Peach Pilot and its customers. Forward Deployed Engineers are the reason our AI actually gets adopted, not just installed. You will embed directly with client teams, understand their workflows, configure the platform to solve their real problems, and stay with them as a trusted partner long after onboarding.

This is not a support role. This is a consulting role with deep technical fluency. You will sit in client meetings, translate messy business problems into platform configurations, identify gaps between what the product does and what customers need, and feed those insights directly back to the product team as structured requirements.

95% of enterprise AI pilots fail because nobody helps users through the fear and friction of trusting AI with real work. You are the person who makes sure that does not happen. You will guide skeptical executives, impatient operators, and cautious teams through their first interactions with AI agents, building confidence one conversation at a time.

This is a ground-floor opportunity. You will shape how Peach Pilot works with every future customer. The playbooks you write, the onboarding flows you refine, and the feedback loops you build will become the foundation of the company’s go-to-market engine.

What Makes This Different

• You are the voice of the customer inside the company. Every insight you bring back from the field directly shapes the product roadmap. This is not a role where feedback disappears into a backlog.
• You are deploying real AI agents into real enterprises. Not demos, not proofs of concept. You will configure and launch autonomous agents that handle actual business workflows for paying customers.
• You are joining proven co-founders on their next venture. Mario previously built, scaled, and exited an ML company to a Fortune 50. JP has scaled multiple companies to $100M+ in revenue and teaches AI at Georgia Tech. You will learn directly from both.
• You will develop deep expertise in agentic AI deployment. The skills you build here, translating business needs into AI agent configurations, will define the next decade of enterprise technology.

What You’ll Do

Customer Onboarding & Adoption

• Own the end-to-end onboarding experience for new customers. Run kickoff sessions, map their workflows, configure the platform, and launch their first AI agents.
• Guide non-technical users through their first interactions with AI agents. Build trust through patience, clear communication, and quick wins that demonstrate immediate value.
• Develop and refine onboarding playbooks, checklists, and best practices that scale across customers and industries.
• Train client teams on platform capabilities. Conduct workshops, create documentation, and build internal champions within customer organizations.

Ongoing Customer Partnership

• Serve as the primary technical point of contact for assigned accounts. Conduct regular check-ins, monitor adoption metrics, and proactively identify opportunities to expand usage.
• Configure and customize AI agents to match evolving customer needs. As clients mature, help them unlock more advanced capabilities and use cases.
• Troubleshoot issues in real time. When something breaks or confuses a user, you are the first responder, resolving problems quickly and communicating clearly.
• Build deep domain expertise in each customer’s industry and workflows. The best FDEs become indispensable because they understand the client’s business as well as the technology.

Product Feedback & Requirements Translation

• Translate customer pain points, feature requests, and workflow gaps into structured product requirements that engineering can act on.
• Identify patterns across customers. When three clients hit the same friction point, you document it, quantify the impact, and advocate for a platform-level solution.
• Participate in product planning sessions. Bring the customer perspective with real examples, real quotes, and real data, not abstract feedback.
• File detailed bug reports and enhancement requests with clear reproduction steps, business context, and priority recommendations.

Process & Playbook Development

• Document everything. Onboarding workflows, common configurations, troubleshooting guides, and customer success patterns.
• Build reusable templates for agent configurations, industry-specific setups, and common integration patterns.
• Contribute to the company’s knowledge base so that future FDEs and customers can self-serve on common questions.

 

Who You Are

You Have

• 3+ years of professional experience in consulting, solutions engineering, customer success engineering, or technical account management.
• Outstanding communication skills. You can explain complex technical concepts to a CEO in plain language and translate vague business requests into precise technical requirements. This is your superpower.
• Experience with AI/LLM systems or agentic AI platforms. You have worked with, deployed, or configured AI-powered tools in a professional setting. You understand prompting, agent behavior, and the current state of the art.
• Consulting DNA. You are comfortable in client-facing environments: running meetings, managing expectations, navigating organizational politics, and building relationships with stakeholders at every level.
• Technical fluency without being a full-time developer. You can read code, use APIs, write basic scripts, configure cloud tools, and debug issues. You are not afraid of a terminal, but your primary value is translating between business and engineering.
• Strong written communication. You write clear, structured documents: requirements specs, status updates, onboarding guides, and executive summaries.
• Empathy for non-technical users. You genuinely enjoy helping people who are intimidated by technology. You are patient, clear, and never condescending.
• Bias toward action. When you see a problem, you fix it or flag it immediately. You do not wait for permission to be helpful.

Even Better If You Have

• Experience deploying or configuring agentic AI systems (LangChain, AutoGen, CrewAI, OpenClaw, or similar frameworks).
• Background in management consulting (McKinsey, BCG, Bain, Deloitte, Accenture, or similar).
• Experience in enterprise SaaS onboarding or implementation.
• Familiarity with workflow automation tools (Zapier, Make, Power Automate) and how enterprises actually use them.
• Experience working with financial services, insurance, healthcare, or professional services firms.
• Comfort with Azure, Microsoft 365, and enterprise IT environments.
• Experience at an early-stage startup where you wore multiple hats.

What We Don’t Require

• A computer science degree. We care about communication skills, customer instincts, and technical curiosity.
• 5+ years of experience. If you have 3 years of high-intensity, relevant work, that is enough.
• Deep software engineering skills. You need technical fluency, not the ability to architect distributed systems.

Compensation & Benefits

• Base salary: $85,000 to $130,000 (commensurate with experience)
• Equity: Equity package reflecting your role as an early team member at a high-growth startup.
• Benefits: Comprehensive health, dental, and vision insurance; 401(k); flexible PTO.
• Location: Hybrid in Buckhead (Atlanta, GA) with occasional travel to client sites.