---
title: 'AI Engagement Manager at Dry Ground AI'
canonical: 'https://feeny.ai/job/ai-engagement-manager-dry-ground-ai-brazil-amwsmss40938'
type: 'job'
last_seen: '2026-09-09'
---

# AI Engagement Manager at Dry Ground AI

- **Company:** Dry Ground AI
- **Location:** Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-02-28
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/dry-ground-ai/am9icG9zdDrHWcmOE9TFp99urHfW_xJe

## Job description

As Engagement Manager, you will own the post-sale customer journey: orchestrating handoffs from Sales to Engineering, driving on-time delivery, and continually identifying new ways to create value. You are part project conductor, part trusted advisor, and part growth catalyst.

Core Responsibilities

Project Leadership:

- Lead multiple AI implementation projects from kickoff through launch and optimization.
- Create and maintain project plans, timelines, and risk logs
- Hold engineering and data teams accountable for sprint deliverables, escalate blockers, and manage tradeoffs between scope and schedule. Customer Success and Relationship Management:
- Act as the main point of contact for a portfolio of AI Velocity and maintenance clients
- Conduct regular check-ins, business reviews, and planning sessions.
- Communicate updates clearly and translate technical milestones into business impact. Opportunity Expansion:
- Analyze client workflows and data to uncover new AI opportunities.
- Frame and scope these opportunities as projects to add to the Velocity backlog.
- Collaborate with Sales to support renewals and upsells. Process Improvement:
- Improve our delivery playbook, templates, and dashboards.
- Promote best practices in documentation, change management, and knowledge transfer.

Required Qualifications

- Fluent English speaking and writing skills. You will run executive meetings and prepare client-facing materials.
- 5 or more years managing complex software or data/AI projects.
- Strong experience in customer-facing roles such as Customer Success, Consulting, or Solutions Delivery.
- Comfortable engaging with technical teams about APIs, data pipelines, and ML concepts. You do not need to code, but must bridge the gap between business and technical language.
- Proficient with tools like Notion, Jira, and Asana.
- Analytical thinker who can read KPIs, prioritize work, and quantify ROI.
- Employment verification, education verification, and an international background check will be required.
- Must be authorized to work in your local jurisdiction.

## Preferred Qualifications

- Familiarity with GenAI, LLM tools, or MLOps platforms.
- Understanding of B2B SaaS commercial models.
- Certifications like Lean Six Sigma, PMP, PMI-ACP, or CSM are a plus.

## What We Offer

- High-impact role on a fast-moving team building innovative AI solutions.
- Work from anywhere. We are a fully remote company with clients based in the U.S.
- Competitive time off and flexible work environment.
- Performance-based bonus opportunities.
- Training and development support.

## About Dry Ground AI

## Company Overview
- **One-liner**: Dry Ground AI builds AI-native companies by designing, deploying, and managing scalable business systems powered by advanced automation, machine learning, and Lean Six Sigma discipline.
- **Entity Type**: Private (Seed/Early stage – no funding rounds publicly disclosed)
- **Headquarters**: Prosper, Texas, United States
- **Founded**: 2024
- **Founders**: Keith Ross (Founder & CEO)

## Core Business
- **Primary industry**: Full‑Stack AI Solutions & Consulting (Technology, Information & Internet)
- **Target customers**: Mid‑market businesses, growth‑stage firms, and enterprises seeking to become AI‑native; B2B
- **Mission/purpose**: “We build AI that runs businesses. Not demos, not prototypes. Production systems that handle real operations across real companies every day.”

## Products & Services
- **AI Consulting**: Strategic guidance, opportunity assessment, and implementation roadmap grounded in Lean Six Sigma.
- **AI Velocity Plan**: Tiered 90‑day outcome cycles (Pulse, Flow, Surge) that embed AI department by department, measured against real business metrics.
- **Adaptive AI Management**: Post‑deployment monitoring, optimization, and continuous improvement of AI systems.
- **Custom AI Solutions**: Voice agents, multi‑agent systems, custom models, and application development (chatbots to full agentic workflows).
- **Companylaw** (Agentic Product): A private, autonomous AI operator for executives that runs calendars, triages inbox, generates briefings, and manages workflows.
- **Nexa** (Platform): The AI consultant’s platform for designing, architecting, and delivering AI solutions with top‑tier precision.
- **Dry Ground Stack** (Infrastructure): Three‑layer AI factory (CORTEX, SENTINEL, CONVERGE) that powers all deployments on sovereign, client‑controlled infrastructure.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: 4 employees; 600% year‑over‑year headcount growth; 1,625 LinkedIn followers (+22.7% monthly, +3150% yearly)
- **Notable Investors / Partners**: Not disclosed (privately held; no public funding rounds found)
- **Growth Signals**: Rapidly expanding team (from <1 to 4 in a year), strong LinkedIn follower growth, launch of multiple product lines (Companylaw, Nexa, Stack), and active hiring for AI Engineer roles.

## Competitive Advantages
- **Lean Six Sigma + AI**: Optimizes processes *before* applying AI, ensuring systems work at scale (top 5% of AI adopters see 5x revenue increases and 3x cost reductions).
- **Full‑Stack AI‑Nativity**: From consulting to custom products to managed infrastructure, all under one roof.
- **Sovereign AI Infrastructure**: No shared endpoints; clients control their data and models.
- **Small, high‑ownership team**: “No layer between you and the work” – ideal for those who want immediate impact.

## Strategic Focus
- **Scale the AI Velocity Plan** as the flagship engagement model.
- **Expand product suite** (Companylaw, Nexa, Dry Ground Stack) to serve more mid‑market and enterprise clients.
- **Continue hiring** across engineering, marketing, and delivery roles to support growth.

## Why Work Here
- **Culture**: People who ship – “Everyone builds, sells, or delivers.” Emphasis on ownership, solving real client problems, and practical impact over credentials.
- **Remote‑first**: Flexible work environment (remote‑first policy per job listings).
- **Growth opportunity**: Work at the forefront of AI innovation across industries; mentor junior engineers and contribute to technical leadership.
- **Benefits**: Competitive salary, performance‑based incentives, collaborative culture, and commitment to professional growth.
- **Team size**: Very small (4 people) – direct exposure to founders and all aspects of the business.

## Sources
1. [dryground.ai](https://dryground.ai/)
2. [dryground.ai/careers](https://dryground.ai/careers)
3. [linkedin.com/company/dry-ground-ai](https://linkedin.com/company/dry-ground-ai)
4. [builtin.com/company/dry-ground-ai](https://builtin.com/company/dry-ground-ai)
5. [builtin.com/job/ai-engineer/9678665](https://builtin.com/job/ai-engineer/9678665)

## Other roles at Dry Ground AI

- [Quality Engineer – AI, Software, & Automation Solutions](https://feeny.ai/job/quality-engineer-ai-software-automation-solutions-dry-ground-ai-brazil-gw0xjf8hmmy2) — Brazil
- [AI Engineer](https://feeny.ai/job/ai-engineer-dry-ground-ai-brazil-2dkp8jn3rqk3) — Brazil
- [AI Solutions Sales Representative](https://feeny.ai/job/ai-solutions-sales-representative-dry-ground-ai-united-states-dy0dz7aj8qhq) — United States
- [AI Engagement Manager](https://feeny.ai/job/ai-engagement-manager-runway-new-york-32ey04cnrtfw) — New York, NY
- [AI Engagement Manager](https://feeny.ai/job/ai-engagement-manager-vml-wppenterprise-solutions-noida-hhv6q4qj8nx4) — Noida, India
- [AI Engagement Manager](https://feeny.ai/job/ai-engagement-manager-pareto-united-states-9715330zxvwv) — United States