Engagement Manager - Analytics & AI - SaaS

What's the company ?

The company is a Series C-funded Enterprise SaaS provider helping critical infrastructure industries become climate-resilient and sustainable through the power of data and AI. Its full-stack SaaS solutions enable electric, gas, and water utilities-as well as transportation and construction companies-to optimize operations, reduce costs, and achieve their sustainability goals.

About the Role:

As an Engagement Manager, you will play a critical role in turning our technology into real-world impact. You will work closely with customers, customer success teams, data scientists, engineers, and product teams to translate complex business problems into scalable AI-powered solutions.

This is not a traditional project management role. You will sit at the intersection of customer strategy, AI deployment, and operational execution, ensuring that our solutions deliver measurable value-from pilot programs to enterprise-scale adoption.

If you enjoy solving complex problems, working with cutting-edge technology, and driving tangible outcomes for critical infrastructure, this role offers a rare opportunity to do all three.

How You'll Make an Impact:

1. Translate Customer Challenges into Deployable Solutions

• Partner with customers, and customer success to understand client's operational challenges.
• Frame these challenges as data-driven AI deployment opportunities.
• Define clear success metrics, scope pilot programs, and align stakeholders around expected outcomes.

2. Lead AI & Data Solution Deployments

• Drive end-to-end delivery of customer engagements involving geospatial data, machine learning models, and AI implementation.
• Coordinate cross-functional teams across engineering, data operations, data science, and product.
• Ensure projects move efficiently from solution design - deployment - adoption.

3. Bridge Customers and Product

• Translate field learnings into insights for product, engineering, and AI teams.
• Identify repeatable patterns that can be converted into scalable platform capabilities.
• Help shape deployment frameworks that make future implementations faster and more effective.

4. Deliver Measurable Customer Outcomes

• Track impact across metrics such as operational efficiency, cost reduction, risk mitigation, and sustainability outcomes.
• Guide customers through large-scale SaaS adoption and operational transformation.
• Ensure successful handoff to long-term customer success teams.

5. Elevate Execution Excellence

• Develop structured playbooks for AI deployments across customer segments.
• Mentor junior deployment managers, analysts, and project teams.
• Raise the bar for execution, clarity, and customer impact across deployments.

What We're Looking For:

• 6-10 years of experience in consulting, strategy, analytics delivery, or technology deployments.
• Strong experience managing complex cross-functional projects with enterprise clients.
• Ability to translate ambiguous business problems into structured solution plans.
• Comfort working at the intersection of AI, data operations, SaaS platforms, and infrastructure industries.
• Strong stakeholder management skills, including working with senior leadership at large organizations.
• Exceptional communication skills-able to turn complex data and technology into clear business outcomes.