Solutions Engineer (AI/ML, Pre-Sales)

The role

A highly technical Solutions Engineer will support strategic customers in a pre-sales role. You will design scalable solutions and lead end-to-end PoCs to demonstrate the impact of the DatologyAI platform on model quality and training efficiency.

What you will do

• Embed with strategic customers to understand data curation needs and technical requirements.
• Lead end-to-end customer PoCs including dataset analysis and training plan design.
• Partner with customer ML teams to map data and curation strategy.
• Design and execute evaluation plans for base and post-trained models.
• Produce customer-ready evaluation reports with methodology, metrics, and conclusions.
• Communicate technical results to ML experts and executive stakeholders.
• Collaborate with GTM, Engineering, and Research teams to deliver demos and align on requirements.
• Provide technical guidance, training, and documentation to prospects.

Required qualifications

• 4+ years of experience in software, ML platform, solutions, or customer engineering roles.
• Significant experience driving technical pre-sales engagements and PoCs.
• Strong practical expertise in ML model training across pre-training, mid-training, and post-training.
• Ability to design, run, and interpret model evaluations for base and post-trained models.
• Strong programming skills in Python or equivalent.
• Experience with data processing or distributed systems such as Spark, Ray, or data lakes/warehouses.
• Comfort working with large-scale datasets.
• Familiarity with modern ML infrastructure including PyTorch/Hugging Face ecosystems, distributed training concepts, and deployment environments.
• Familiarity with cloud platforms AWS, GCP, or Azure.
• Familiarity with containerization such as Docker or Kubernetes.
• Strong communication skills to translate complex ML and systems topics.

Benefits

• 100% covered health benefits (medical, vision, and dental).
• 401(k) plan with a 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 provided in the office.
• Relocation assistance for employees moving to the Bay Area.

About the company

DatologyAI has built a state of the art data curation suite to optimize training data for models. The company has raised $57.5M in Seed and Series A rounds from investors including Microsoft and Amazon.