Forward Deployed AI Engineer – Post-Sales

DatologyAI

. Lead customers through onboarding, deployment, and production rollout of DatologyAI’s platform .

Posted 10/16/2026full-timeSan Mateo • California • United StatesMid-LevelSenior💰 $230,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading customer onboarding and deployment of complex distributed systems, with a strong focus on technical architecture and long-term adoption strategies. Proficient in adapting and optimizing platforms across multiple cloud environments, including AWS, GCP, and Azure, while ensuring scalable and secure workflows.

Highest-signal resume keywords

Solution ArchitectureDistributed SystemsAWS, GCP, AzurePython, SQLInfrastructure-As-Code

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Solution ArchitectureDistributed SystemsPythonSQLInfrastructure-As-CodeKubernetesData InfrastructureNetworkingCompute OrchestrationPerformance Tuning

Soft Skills

Technical AdvisoryStakeholder ManagementCustomer EngagementCollaborationAdaptability

Tools & Technologies

AWSGCPAzureKubernetesAPIsStorage SystemsNetworking ConfigurationsCompute ServicesIAM ServicesData Pipelines

Industry Keywords

Technical Program DeliveryCustomer EngineeringHybrid Compute EnvironmentsML/AI WorkflowsConfiguration Management

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact

Lead customers through onboarding, deployment, and production rollout of DatologyAI’s platform
Serve as technical owner for assigned accounts, driving 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, relay customer feedback, and 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
Tune performance for network topology, storage tiering, and resource allocation in each environment
Serve as a trusted technical advisor for strategic customers and bridge platform capabilities with customer requirements

Requirements

What you’ll need

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 and 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 AWS, GCP, and Azure, including compute, storage, networking, and IAM services
Proven track record of adapting complex distributed systems across different infrastructure environments
Expertise in infrastructure-as-code and configuration management for multi-environment deployments
Required to travel to customer sites as needed
Based in San Mateo, California, with four days per week in the office

Benefits

Comp & perks

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
Meaningful equity