Datology AI

Datology AI

Forward Deployed AI Engineer (Post-Sales)

Redwood City

Sponsorship not specified$230k-$300kDetected 55 days ago
PythonDistributed SystemsSQLAWSGCPAzureCloud PlatformsKubernetesMachine LearningData EngineeringResearch

About the role

  • We are looking for a highly technical, customer-obsessed Forward Deployed AI Engineer (Post Sales) to guide customers through deploying, operating, and adopting DatologyAI's platform in complex on-prem or hybrid environments.
  • 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.
  • Strong background in distributed systems, data infrastructure, and/or on-prem or hybrid compute environments.

Responsibilities

  • This role is ideal for someone who thrives in ambiguity, enjoys solving challenging distributed systems problems, and wants to build both deep relationships and scalable solutions within a fast-moving startup.
  • 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.

Requirements

  • 5+ years of experience in technical roles involving solution architecture, customer engineering, consulting, or technical program delivery.
  • 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.

Skills

  • Starting pay is based on job-related skills, experience, qualifications, and interview performance.

Compensation

  • At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $230,000 to $300,000.
  • Starting pay is based on job-related skills, experience, qualifications, and interview performance.
  • 401(k) plan with a generous 4% company match.
  • Annual $2,000 wellness stipend.
  • Annual $1,000 learning and development stipend.
  • Daily lunches and snacks are provided in our office!

Benefits

  • 100% covered health benefits (medical, vision, and dental).
  • 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.
  • At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity.
  • Our benefits are built to support your well-being and growth:

Company info

  • Models are what they eat.
  • But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.
  • At DatologyAI, we've built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models.
  • For more details, check out our recent research on synthetic data scaling (BeyondWeb https://www.datologyai.com/blog/beyondweb) and pretraining with domain-specific data (The Finetuner's Fallacy https://www.datologyai.com/blog/finetuners-fallacy).
  • We raised a total of $57.5M in two rounds, a Seed and Series A.
  • This role is based in Redwood City, CA.
  • We are in office 4 days a week.
  • Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment.
  • Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.
  • Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.
  • 401(k) plan with a generous 4% company match.
  • You will become the trusted technical advisor for our most strategic customers, partnering closely with Sales, Research, and Engineering to drive successful deployments and long-term customer value.
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