Datologyai

Forward Deployed AI Engineer (Post-Sales)

San Mateo HQ, Remote. Posted 5 months ago

The role

You will guide customers through deploying, operating, and adopting the DatologyAI platform in complex on-prem or hybrid environments. You will serve as a technical advisor to drive successful deployments and long-term customer value.

What you will do

  • Lead customers through onboarding, deployment, and production rollout of the platform
  • Drive architecture, execution, long-term adoption, and tailored technical success plans
  • Partner with Sales, Engineering, and Research to translate use-case requirements into technical strategies
  • Support early trials and relay customer feedback to help shape roadmap priorities
  • Guide customers in designing scalable, secure workflows across compute, storage, networking, and distributed systems
  • Provide reporting on deployment progress, workload health, usage metrics, and executive-level updates
  • Adapt and optimize the platform across AWS, GCP, Azure, and on-prem Kubernetes environments
  • Handle provider-specific APIs, storage systems, networking configurations, and compute orchestration

Required 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
  • Experience designing or deploying systems involving Kubernetes, networking, data pipelines, or large-scale backend infrastructure
  • Proficiency in Python, SQL, or similar languages
  • Experience leading complex technical projects with multiple stakeholders
  • Deep hands-on experience with multiple cloud platforms (AWS, GCP, Azure) including compute, storage, networking, and IAM services
  • Proven track record of adapting complex distributed systems to run across different infrastructure environments
  • Expertise in infrastructure-as-code and configuration management for multi-environment deployments
  • Required to travel to customer sites as needed

Benefits

  • 100% covered health benefits (medical, vision, and dental)
  • 401(k) plan with a generous 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 stipend
  • Daily lunches and snacks are provided in our office
  • Relocation assistance for employees moving to the Bay Area

About the company

DatologyAI has built a state of the art data curation suite to automatically curate and optimize petabytes of data. The company has raised $57.5M in Seed and Series A rounds.

Forward Deployed AI Engineer (Post-Sales) at Datologyai | JobZoey