AI Engagement Manager

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.