The Role
Own post-sale AI customer journey: lead multiple AI implementation projects, manage timelines and risks, coordinate engineering/data teams, drive customer relationships, identify expansion opportunities, and improve delivery processes and playbooks.
Summary Generated by Built In
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.
Skills Required
- Fluent English speaking and writing skills
- 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 (no coding required)
- 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
- 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
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The Company
What We Do
Dry Ground AI is an AI-native firm that helps businesses transform by building scalable, optimized business systems powered by advanced automation and machine learning. They design and deploy practical AI solutions, including custom software applications, AI agents, and automation workflows, to replace operational complexity with clarity. Their mission is to help clients dominate their industries by multiplying human potential through the strategic application of AI.
