Post-Sales AI Platform Architect (Hybrid)

datologyai; San Mateo; On-site; PHP 14,375,000 - 18,750,000; Full time

Benefits offered by this job

100% covered health benefits

401(k) plan with 4% company match

Unlimited PTO policy

Paid Parental Leave of 12 weeks, plus

6 months of WFH flexibility.

Annual $2,000 wellness stipend.

Annual $1,000 learning and development

Job summary

DatologyAI in San Mateo, CA is seeking a highly technical Forward Deployed AI Engineer (Post Sales) to guide customers through deploying, operating, and adopting the platform in complex on-prem or hybrid environments.

You will become the trusted technical advisor for our most strategic customers, partnering closely with Sales, Research, and Engineering to drive successful deployments and long-term customer value.

Qualifications

• 5+ years of experience in technical roles involving solution architecture, customer engineering, consulting, or technical program delivery.
• Strong background in distributed systems, data infrastructure, and/or on-prem or hybrid compute environments.
• Experience working with ML/AI workflows, designing or deploying systems involving Kubernetes, networking, data pipelines, or large-scale backend infrastructure.
• Proficiency in Python, SQL, or similar languages, with the ability to contribute to technical conversations and debug customer issues end-to-end.

Responsibilities

• Lead customers through onboarding, deployment, and production rollout of DatologyAI’s platform while serving as the technical owner for assigned accounts—driving architecture, execution, long-term adoption, and tailored technical success plans.
• Partner cross-functionally with Sales, Engineering, and Research to translate use-case requirements into actionable technical strategies, support early trials, relay customer feedback, and help shape roadmap priorities.
• Guide customers in designing scalable, secure workflows across compute, storage, networking, and distributed systems, providing ongoing reporting on deployment progress, workload health, usage metrics, and executive-level updates.
• Adapt and optimize DatologyAI’s platform across AWS, GCP, Azure, and on-prem Kubernetes environments, handling provider-specific APIs, storage systems, networking configurations, and compute orchestration—including tuning performance for network topology, storage tiering, and resource allocation in each environment.

Skills

Distributed systems

Data infrastructure

Cloud platforms

Python/SQL

IaC

Solution architecture

Tools

Kubernetes

Job description

DatologyAI in San Mateo, CA is seeking a highly technical Forward Deployed AI Engineer (Post Sales) to guide customers through deploying, operating, and adopting the platform in complex on-prem or hybrid environments.

You will become the trusted technical advisor for our most strategic customers, partnering closely with Sales, Research, and Engineering to drive successful deployments and long-term customer value.