DatologyAI

AI

ForwardDeployedAIEngineer(PostSales)

$230–300k Redwood City, California, United States FULL TIME
The Brief

“Forward Deployed AI Engineer (Post-Sales) at DatologyAI. Skills: AI, Data Curation, Distributed Systems, Cloud Platforms. Lead customers through onboarding, deployment, and production rollout. Serve as technical owner for assigned accounts”

What You'll Achieve.

drive successful deployments; long-term customer value; tailored technical success plans; shape roadmap priorities; tuning performance

Industry & Context.

AI
Problems you'll solve

solving challenging distributed systems problems

Eligibility Requirements

Required to travel to customer sites as needed

What They're Looking For.

Must Have

5+ years of experience in technical roles involving solution architecture, customer engineering, consulting, or technical program delivery, 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, Experience leading complex technical projects with multiple stakeholders, 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

What You'll Do.

Lead customers through onboarding

and production rollout

Serve as technical owner for assigned accounts

Develop tailored technical success plans

Partner cross-functionally with Sales

Translate use-case requirements into actionable technical strategies

Relay customer feedback

Help shape roadmap priorities

Guide customers in designing scalable

Provide ongoing reporting on deployment progress

Adapt and optimize DatologyAI’s platform across environments

Handle provider-specific APIs

Tune performance for network topology

Tune performance for storage tiering

Tune performance for resource allocation

How You'll Work.

Team & Collaboration

Partner cross-functionally with Sales, Engineering, and Research; Translate business needs into clear architecture and execution plans

Communication Scope

executive-level updates

Process & Methodology

Leading complex technical projects, Translate business needs into clear architecture and execution plans

Free ATS check

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