AI Sales Solutions Engineer | Eastern US

We turn every customer interaction into an opportunity. We connect conversations, customer data and payments with AI Agents so that companies can deliver personal customer journeys at scale: both online and in person.

“The entire customer journey. One platform”

What we value

Every CM.com colleague, connects to our 4 shared values:

Drive and Lead

You take initiative, make decisions and recognize opportunities. Making mistakes is part of moving forward.

Grow and Learn

The growth of our colleagues and our customers is our priority. You like to experiment, learn continuously and actively share knowledge and insights with others.

Together and Care

We work together and we believe that diverse perspectives lead to stronger outcomes. You value the social side of work, you show genuine interest and care about one another’s well-being.

Speed and Change

By welcoming AI Agents into our organisation, we fundamentally change how work is done. You are comfortable with change and you love working in a high paced environment.

The Role

As our AI Sales Solutions Engineer, you’ll be CM.com’s technical lead for the US region, the go-to expert who translates our AI-powered customer engagement portfolio into real business value for colleagues, partners, and customers. You’ll pair deep product and AI fluency with a coach’s instinct, running technical discovery, demos, and enablement sessions that build confidence and move deals forward. This is a highly visible role at the intersection of sales engineering and applied AI.

You will:

• Act as the primary technical SME for the US region, partnering with Sales, Customer Success, and Partners to scope, demo, and position the CM.com portfolio — including our AI Agents — against customer needs.

• Lead technical discovery and solution design for prospects and customers, translating business requirements into concrete, credible CM.com implementations.

• Coach and enable colleagues and partners on the business value of CM.com’s AI capabilities through training sessions, playbooks, and hands-on support that build their technical fluency and confidence.

• Represent the voice of the field back to Product and Engineering, surfacing patterns from customer and partner conversations that sharpen our roadmap and go-to-market positioning.

• Use AI tools actively to improve your own work: experiment, automate, and share what works with your team.