Forward Deployed AI Engineer (Post-Sales)
DatologyAI5 months ago
San Mateo, CA, USASenior
Base Salary
$230k - $300k/yr
Responsibilities
- Lead customers through onboarding, deployment, production rollout, and adoption of DatologyAI’s platform while serving as the technical owner for assigned accounts.
- Drive customer architecture, execution, long-term adoption, technical success plans, deployment reporting, workload health monitoring, usage metrics, and executive updates.
- Partner with Sales, Engineering, and Research to translate use cases into technical strategies, support trials, communicate customer feedback, and shape roadmap priorities.
- Design and optimize scalable, secure workflows across compute, storage, networking, and distributed systems in cloud, on-premises, and hybrid environments.
- Adapt the platform across AWS, GCP, Azure, and on-premises Kubernetes, including provider APIs, storage systems, networking configurations, compute orchestration, storage tiering, resource allocation, and network topology.
- Lead complex technical projects involving multiple stakeholders and debug customer issues end-to-end.
Requirements
- 5+ years of experience in solution architecture, customer engineering, consulting, technical program delivery, or related technical roles.
- Strong background in distributed systems, data infrastructure, and on-premises or hybrid compute environments.
- Experience 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 and translating business needs into architecture and execution plans.
- Deep hands-on experience with multiple cloud platforms, including AWS, GCP, and Azure, and their compute, storage, networking, and IAM services.
- Track record of adapting complex distributed systems across different infrastructure environments.
- Expertise in infrastructure-as-code and configuration management for multi-environment deployments.
- Ability to travel to customer sites as needed for critical deployments and engagements.
Benefits
- 100% covered medical, vision, and dental benefits.
- 401(k) plan with a 4% company match.
- Unlimited paid time off.
- 12 weeks of paid parental leave plus six months of work-from-home flexibility.
- Annual $2,000 wellness stipend.
- Annual $1,000 learning and development stipend.
- Daily lunches and snacks provided in the office.
- Relocation assistance for employees moving to the Bay Area.
- Based in San Mateo, California, with four days per week in the office; customer-site travel is required as needed.
Categories
Forward Deployed
About DatologyAI
DatologyAI builds software that automatically curates and selects training data for deep learning, removing redundant or harmful examples across text, image, and other modalities. Its data-curation suite helps ML teams train better models with fewer labels and lower compute by optimizing large, unlabeled datasets. Founded in 2023 and headquartered in Redwood City, California, the privately held company sells its tools to organizations building large-scale AI systems across industries.