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Datology AI

Forward Deployed AI Engineer (Post-Sales)

Redwood City$230k–$300kfulltimemidAdded 1 month ago

About this role

DatologyAI seeks a Forward Deployed AI Engineer to serve as the technical expert for post-sales customer success, guiding strategic accounts through deploying and operating the company's data curation platform across complex on-prem and hybrid environments. You'll bridge customer needs with internal teams while solving distributed systems challenges and driving long-term platform adoption.

What you'll do

  • Lead customer onboarding, deployment, and production rollout while owning technical strategy and success for assigned accounts
  • Partner with Sales, Engineering, and Research to translate customer requirements into technical strategies and shape product roadmap priorities
  • Design scalable, secure workflows across compute, storage, networking, and distributed systems with executive-level reporting
  • Optimize platform performance across AWS, GCP, Azure, and on-prem Kubernetes environments with provider-specific tuning
  • Debug and resolve customer issues end-to-end, contributing technical solutions and infrastructure improvements
  • Travel to customer sites as needed to support critical deployments and technical engagements

What they're looking for

  • Distributed systems and data infrastructure design
  • Kubernetes and container orchestration
  • Multi-cloud platforms (AWS, GCP, Azure) including compute, storage, networking, and IAM
  • Python, SQL, or similar programming languages
  • ML/AI workflow design and deployment
  • Infrastructure-as-code and configuration management
  • Technical program management and stakeholder communication
  • On-prem and hybrid compute environment expertise
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Datology AI

DatologyAI builds a data curation platform that optimizes AI training datasets to reduce costs and improve model performance. The company is hiring cloud infrastructure engineers, data platform engineers, full-stack product engineers, and solutions engineers to scale its multi-cloud infrastructure and customer-facing tools.

View all jobs at Datology AI

Likely interview questions

  • Walk us through a complex customer deployment you led across multiple cloud environments or on-prem infrastructure. How did you handle environment-specific differences, and what was the outcome?
  • Describe your experience deploying and operating Kubernetes in production. What challenges have you encountered, and how did you troubleshoot them?
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