Forward Deployed AI Engineer (Post-Sales)

What You'll Work On

• 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.

About You

• 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.

Compensation & Benefits

• Salary range: $230,000 to $300,000.
• 100% covered health benefits (medical, vision, and dental).
• 401(k) plan with a generous 4% company match.
• Unlimited PTO policy.
• Annual $2,000 wellness stipend.
• Annual $1,000 learning and development stipend.
• Daily lunches and snacks provided in office.
• Relocation assistance for employees moving to the Bay Area.