Forward Deployed Engineer at AI Squared

We are thrilled to be looking for a talented professional to join our team as a Forward Deployed Engineer. Our company focuses on delivering advanced AI infrastructure solutions that help large and mid-sized enterprises navigate complex data challenges. We pride ourselves on building scalable, intelligent systems, and we are looking for someone who is passionate about bridging the gap between cutting-edge technology and real-world business success.

What is this role?

This is a full-time, lead-level position designed for an experienced professional who thrives at the intersection of engineering and customer success. You will be working in a hybrid capacity across the United States. In this role, you will act as a technical bridge, helping our clients implement our AI and cloud infrastructure solutions while ensuring they achieve their strategic goals.

What will you do?

• Lead the technical sales process by conducting product demonstrations, managing proof-of-concepts, and providing deep technical expertise during RFP responses.
• Collaborate closely with our account executives to execute account-based marketing and selling strategies that drive growth within enterprise organizations.
• Oversee both pre-sales and post-sales activities to ensure our clients have a seamless experience from the initial pitch through to successful deployment and long-term satisfaction.

What makes you a great fit?

We are looking for someone who brings over a decade of experience in technical sales and a deep understanding of the modern cloud landscape. You should be comfortable speaking with both technical teams and business stakeholders, as your ability to present complex concepts clearly is vital to our success. Your background should include the following:

• Extensive knowledge of cloud platforms like AWS, GCP, and Azure, alongside cloud-native ecosystems such as Kubernetes, containers, and CI/CD pipelines.
• Strong expertise in AI and machine learning workflows, including MLOps tools, data pipeline orchestration, and platforms like Kubeflow, MLflow, or Amazon SageMaker.
• A proactive, self-starting mindset with a genuine passion for customer success and a high level of proficiency in English.

What's in it for you?

We value the balance between professional impact and personal flexibility. As part of our commitment to our team, we offer the following:

• A hybrid work environment that supports flexibility and collaboration.