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Forward Deployed AI Engineer, Post-Sales


Job Location:

Redwood City, CA - USA

Monthly Salary: Not provided by the employer
Posted: 24 September 2026 (Yesterday)
Application Deadline: 22 December 2026
Vacancies: 1 Vacancy

Job Summary

Forward Deployed AI Engineer Post-Sales

Company: DatologyAI
Location: Redwood City CA (4 days in office; travel to customer sites as needed)
Compensation: $230000 - $300000 competitive equity
Employment Type: Full-time
Visa Sponsorship: Visa transfers (OPT H-1B transfer); relocation considered

About DatologyAI

DatologyAI is building the future of AI training data on a simple insight: models are what they eat. Much training compute is wasted on data that is already learned irrelevant or harmful. DatologyAIs data curation suite automatically curates and optimizes petabytes of data to produce the best possible training data for deep learning models.

DatologyAI has raised a $57.5M Series A.

The Role

DatologyAI is hiring a Forward Deployed AI Engineer (5 years) to be the trusted technical advisor for its most strategic customers guiding complex deployments of its data curation platform. You will thrive in ambiguity enjoy distributed systems challenges and be as comfortable in a customer boardroom as deep in infrastructure configs.

What You Will Do
  • Own onboarding deployment and production rollout for strategic accounts.
  • Serve as primary technical contact and drive adoption across complex on-prem and hybrid environments.
  • Design scalable secure workflows across compute storage networking and distributed systems on AWS GCP Azure and on-prem Kubernetes.
  • Turn customer requirements into technical strategy with Sales Engineering and Research and feed back into the roadmap.
  • Travel to customer sites for critical deployments.
What You Bring
  • 5 years in a post-sales technical role (solutions customer or implementation engineering)
  • Hands-on distributed systems data infrastructure and on-prem or hybrid compute experience
  • Deep multi-cloud expertise across AWS GCP and Azure (compute storage networking IAM)
  • Experience with ML/AI workflows Kubernetes data pipelines or large-scale backend infrastructure
  • Proficiency in Python or SQL
Tech Stack

Python SQL Kubernetes AWS GCP Azure distributed systems on-prem infrastructure ML/AI workflows data pipelines infrastructure as code


REVENUE: 14% of first-year salary. Est. fee per hire $32K-$42K; 4 seat(s) up to $148K if all filled.

TARGET COMPANIES (suggested): Databricks Snowflake Anyscale Scale AI Hugging Face Weights & Biases.

BEST-FIT CANDIDATE: 5 yrs; post-sales technical; multi-cloud K8s; ML/data infra; visa: transfers only; location: Redwood City 4 days.