Resume

Sam Manning

Builder · GTM & AI Strategy · Enterprise Operations

Georgetown, TX·sjmanning@gmail.com·tanobuild.com·linkedin.com/in/sjmanningtx
$75M+
Enterprise Programs Closed
16x
Single Account Revenue Growth
13+
Production AI Systems Shipped
100%
Revenue Retained Through Volatile Deals
AI Builds

Production systems. Not prototypes.

Live portfolio at tanobuild.com

SATS: Social Arbitrage Trading System

2025 - Present

Architect, builder, operator

Proves the full cycle from raw signal to live risk decisions can run autonomously on infrastructure one person owns.

Fuses social, macro, and technical inputs through an 8-gate signal pipeline and seven specialized agents into paper-trading execution.

Ships disciplined risk: quarter-Kelly position sizing and a 5-state circuit breaker governing live runs.

Stack: 13-container Docker deployment on self-hosted Linux, Postgres and Redis, Alpaca and Polygon.io market data, Claude API as the reasoning layer.

APEX: Autonomous Project Execution System

2026 - Present

Architect, builder

Self-building coding agent that writes, validates, and deploys its own build roadmap without human intervention.

FastAPI backend, SQLite state persistence, Telegram control interface, Claude Code executor with git snapshot and rollback.

Completed Phases 1-4A autonomously: scaffolded its own repo, built working artifacts, and pushed to GitHub without a developer in the loop.

Designed to eventually build Conductor, a project management SaaS, proving the loop from instruction to shipped code closes without an engineer in the seat.

Appliance Uprising

2026 - Present

Solo builder, commercial lead, in development

Browser-based hex-grid strategy game built in Phaser.js, React, and TypeScript targeting a Kickstarter launch.

Six playable appliance characters with distinct passive abilities, turn-based combat on a hex board.

Deployed to Vercel via a Telegram-controlled builder agent wired directly to the repo.

TanoBox

2025 - Present

Hardware + software bundle, go-to-market

Replaces five recurring SaaS subscriptions for small operators with a single one-time hardware purchase.

Ships pre-configured on a GMKtec mini PC so a non-technical buyer plugs it in and is running same-day.

Full stack: Ubuntu Server on Docker with pre-wired ingestion, dashboards, and a local LLM gateway.

Career Engine + Partner Intelligence Dashboard

2025 - Present

Designer, builder, operator

Career Engine turns a job posting into a tailored one-page resume (.docx), cover letter, role-fit analysis, salary brief, and interview talking points in a single pass.

Partner Intelligence Dashboard is a GTM asset: live AI developments at NVIDIA, Google, and Anthropic contextualized to energy, utilities, and commercial real estate buyers.

Both shipped as production Next.js apps on Vercel, orchestrated through the Claude API with a persistent DNA prompt architecture.

Professional Experience

Clayton Korte

Austin, TX. A 35-person firm delivering enterprise client programs in hospitality and commercial development.

Partner

2020 - 2025

Ownership group: P&L, pipeline, enterprise client relationships, and firmwide systems.

Revenue & Enterprise Accounts

Grew a single enterprise account from $80K to $1.3M in annual revenue, a 16x expansion without a dedicated sales team.

Closed and delivered $75M+ in aggregate enterprise programs across multi-year, multi-stakeholder cycles.

Retained 100% of active revenue through post-pandemic restructuring and volatile deal windows, on relationships the business could not afford to lose.

Owned the long-cycle sell and long-cycle delivery: enterprise hospitality and commercial development buyers, where trust is the actual product.

AI Implementation & Firmwide Technology

Championed AI into the firm: built the business case, picked the stack, and shipped working tooling without a dedicated engineering team.

Deployed LLM-backed workflows for proposal drafting, meeting synthesis, and specification review, running across the full staff.

Built and maintained internal agents while holding a full Partner-level revenue and client load simultaneously.

The AI and operational infrastructure is still running in production at the firm after my departure, which is the real proof point on quality.

Operations & Revenue Infrastructure

Rebuilt the firm's delivery, scheduling, and resourcing systems to run a 35-person services business at enterprise margin.

Introduced the reporting cadence and dashboards senior leadership still runs the business on.

Stood up finance and ops tooling that became the operating backbone, replacing ad-hoc process with systems the team actually adopted.

Project Architect

2014 - 2020

Enterprise delivery and client management at scale.

Led delivery on multi-million-dollar enterprise programs including Stable Hall, Bottling Department Food Hall, and Savor at the Historic Pearl, San Antonio.

Managed consultant teams, client reviews, and on-site execution end-to-end.

Converted early relationships into repeat engagements and a referral pipeline that seeded the Partner years.

Project Manager

2010 - 2014

Program delivery and client ownership on recurring enterprise accounts.

Delivered Eberly, Clark's Oyster Bar, Josephine House, and Jeffrey's in Austin end-to-end.

Owned schedule, budget, and vendor coordination across concurrent programs.

Became the primary day-to-day contact for a portfolio of recurring restaurant and hospitality clients.

Skills & Tools

Tooling

AI & LLM Tools
Claude APIOpenAI APIPrompt engineeringAgent orchestrationRAG pipelinesEvalsCursorClaude Code
Infrastructure
DockerSelf-hosted LinuxUbuntu ServerPostgreSQLRedisVercelGitHub ActionsCloudflare
Financial & Ops
P&L ownershipEnterprise salesContract negotiationCapital program oversightPipeline managementPartner & vendor operations
Languages & Frameworks
TypeScriptJavaScriptPythonSQLNext.jsReactNode.jsPhaser.jsTailwind
Additional Context

Notes

15 years inside enterprise client cycles in private equity and commercial real estate, where the deal is slow, the stakeholders are many, and the revenue is real.

Self-taught builder, no formal computer science or business degree. Which is the point: ships fast, figures it out, no headcount or budget runway required.

Deployed all the AI tooling above at Clayton Korte with no dedicated engineering team and no budget carved out for it. Shipped anyway.

The operational and AI infrastructure built there is still running in production after my departure, a proof point on permanence and quality, not just demo-ware.

Targeting GTM Strategy, AI Strategy, and Founding PM roles at early-stage AI companies where the gap between what AI can do and what the business is using is the opportunity.