Application Guide
How to Apply for Client Engagement Manager
at AZX, PBC.
🏢 About AZX, PBC.
AZX, PBC is an AI Transformation Engineering firm that specializes in custom-built software and data solutions for critical industries like energy, utilities, and infrastructure. Unlike typical SaaS companies, they focus on deep technical implementations that address unique regulatory and operational challenges. Working here offers the opportunity to shape AI adoption in industries undergoing significant transformation.
About This Role
As Client Engagement Manager at AZX, you'll lead end-to-end client engagements for custom AI and software solutions, coordinating between engineering teams, AI specialists, and client stakeholders. This role is impactful because you'll ensure measurable outcomes in industries where data-driven decisions have substantial real-world consequences. You'll establish repeatable processes that improve how AZX delivers complex technical solutions.
💡 A Day in the Life
A typical day might involve morning syncs with engineering and AI specialist teams on active client implementations, followed by strategic check-ins with client stakeholders to ensure alignment on technical solutions. You'd spend afternoons documenting project standards, refining delivery processes, and planning upcoming engagements while troubleshooting any technical deployment challenges that arise.
🚀 Application Tools
🎯 Who AZX, PBC. Is Looking For
- Has 5-10+ years experience leading custom software/data implementations (not just SaaS deployments) for mid-to-large enterprise clients
- Possesses deep domain expertise in energy, utilities, real estate, logistics, climate, or infrastructure with understanding of their data and regulatory challenges
- Demonstrates proven ability to coordinate technical teams (engineering + AI specialists) while maintaining client trust as a strategic partner
- Has experience establishing project standards and documentation for repeatable delivery processes in technical environments
📝 Tips for Applying to AZX, PBC.
Highlight specific examples of custom-built software/data solutions you've delivered (not SaaS deployments) with measurable business outcomes
Emphasize your industry domain expertise in one of AZX's focus areas (energy, utilities, real estate, logistics, climate, infrastructure) with concrete examples
Demonstrate your experience coordinating between technical teams (engineering + specialized roles like AI) and client stakeholders
Show how you've established project standards and repeatable processes in previous roles, not just managed existing ones
Research AZX's specific AI transformation approach and mention how your experience aligns with their engineering-focused methodology
✉️ What to Emphasize in Your Cover Letter
['Your experience delivering custom-built (not off-the-shelf) software/data solutions with measurable outcomes', "Deep industry expertise in one of AZX's focus areas and understanding of their unique data/regulatory challenges", 'Your approach to coordinating technical teams (engineering + AI specialists) while maintaining client trust', "Examples of how you've established project standards and repeatable processes for complex technical implementations"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → AZX's specific AI transformation engineering approach (how it differs from consulting or standard software development)
- → Their work in specific industries (energy, utilities, real estate, logistics, climate, infrastructure) - look for case studies or client mentions
- → The company's PBC (Public Benefit Corporation) status and what that means for their mission and operations
- → Their technical team structure and how they integrate AI specialists with engineering teams
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Focusing primarily on SaaS deployment experience rather than custom-built software/data solutions
- Presenting generic project management experience without industry-specific domain expertise
- Failing to demonstrate understanding of the coordination required between engineering and AI specialist teams
- Not providing concrete examples of establishing project standards and repeatable processes
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!