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Solutions Engineer (AI/ML, Pre-Sales)

DatologyAI· Sales
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Hybrid (San Mateo HQ)$230k - $300kFull-timePosted 9mo ago

About the role

Technical Solutions Engineer in pre-sales for DatologyAI, focusing on ML/AI platform solutions, PoCs, and customer-facing evaluations to demonstrate impact of data curation on model training and deployment.

Responsibilities

  • Embed deeply with strategic customers to understand their data curation needs, business challenges, and technical requirements in detail.
  • Lead end-to-end customer PoCs that connect data curation, training behavior, evaluation outcomes, including dataset analysis, training plan design, and results interpretation.
  • Partner with customer ML teams to map data & curation strategy
  • Design and execute evaluation plans for base and post-trained models, selecting appropriate benchmarks/metrics, and running model evaluations
  • Produce customer-ready evaluation reports: methodology, metrics, baselines, ablations (e.g., curated vs raw), conclusions, and recommended next steps for productionization.
  • Communicate technical results to both ML experts and exec stakeholders, including tradeoffs in compute, latency, and deployment cost.
  • Collaborate closely with GTM, Engineering, and Research teams to ensure seamless customer experiences, deliver compelling demos, align on requirements, and bring customer insights into actionable model training and product strategies.
  • Provide technical guidance, training, and clear documentation to ensure prospects can confidently assess the solution.

Qualifications

  • 4+ years of experience in software, ML platform, solutions, or customer engineering roles, with significant experience driving technical pre-sales engagements and PoCs.
  • Strong practical expertise in ML model training, including pre-training, domain-specific mid-training, and post-training (e.g., supervised fine-tuning and reinforcement learning).
  • Demonstrated ability to design, run, and interpret model evaluations for base and post-trained models: choosing metrics/benchmarks, building or using evaluation harnesses, analyzing results, and presenting findings clearly with customers.
  • Strong programming skills in Python (or equivalent); able to prototype quickly and iterate with customers.
  • Experience with data processing / distributed systems (e.g., Spark, Ray) and large-scale datasets.
  • Familiarity with modern ML infrastructure: PyTorch/Hugging Face, distributed training concepts, and deployment environments across cloud/on-prem/hybrid.
  • Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Strong communication skills, with the ability to translate complex ML and systems topics for diverse audiences.
  • Required to travel to customer sites as needed to support pre-sales engagements.

Skills

Required:PythonML model trainingEvaluation design

Benefits

  • 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.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About DatologyAI

Train Better Models, Faster and Smaller

DatologyAI automatically curates model training data. Train faster, achieve better performance, and reduce costs with enterprise-grade data curation.

Data CurationData QualityModel Trainingliquid-ai-recruiting-target
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