Forward Deployed Engineer, Post-Sales

We are looking for a Forward Deployed AI Engineer (Post-Sales) with 5+ years of experience to serve as the trusted technical advisor for DatologyAI's most strategic customers, guiding them through complex deployments of a cutting-edge data curation platform. You'll thrive in ambiguity, love solving distributed systems challenges, and be equally comfortable in a customer boardroom and deep in infrastructure configs.

What will you be doing?

- Own end-to-end onboarding, deployment, and production rollout of DatologyAI's platform for strategic accounts.

- Serve as the primary technical point of contact, building long-term relationships and driving adoption across complex on-prem and hybrid environments.

- Design scalable, secure workflows spanning compute, storage, networking, and distributed systems — across AWS, GCP, Azure, and on-prem Kubernetes.

- Partner cross-functionally with Sales, Engineering, and Research to translate customer requirements into actionable technical strategies and relay feedback to shape the roadmap.

- Travel to customer sites as needed to support critical deployments and high-stakes engagements.

Key Requirements

- 5+ years in a post-sales technical role (solutions engineering, customer engineering, or technical implementation).

- Strong hands-on experience with distributed systems, data infrastructure, and on-prem or hybrid compute environments.

- Deep multi-cloud expertise across AWS, GCP, and Azure (compute, storage, networking, IAM).

- Experience with ML/AI workflows and deploying systems involving Kubernetes, data pipelines, or large-scale backend infrastructure.

- Proficiency in Python or SQL with the ability to debug and contribute to technical conversations end-to-end.