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Forward Deployed AI Engineer (Post-Sales)

DatologyAI· Sales
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Hybrid (San Mateo HQ)$230k - $300kFull-timePosted 11mo ago

About the role

Technical, customer-obsessed engineer guiding deployments and adoption of DatologyAI’s platform in complex on-prem or hybrid environments, acting as trusted advisor to strategic customers and bridging platform capabilities with customer requirements.

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.

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.
  • Experience leading complex technical projects with multiple stakeholders—translating business needs into clear architecture and execution plans.
  • Deep hands-on experience with multiple cloud platforms (AWS, GCP, Azure) including their 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 to support critical deployments and customer engagements.

Skills

Required:Solution architectureDistributed systemsCloud platformsKubernetesPython/SQLInfrastructure-as-Code

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.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About DatologyAI

Train Better Models, Faster and Smaller

DatologyAI automatically curates model training data. Train faster, achieve better performance, and reduce costs with enterprise-grade data curation.

Data CurationData QualityModel Trainingliquid-ai-recruiting-target
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