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Solutions Engineer, AI/ML – Pre-Sales
DatologyAI. Support customers in a highly technical pre-sales role .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical pre-sales engagements, ML model training, and evaluation, with a strong ability to communicate complex technical results to diverse stakeholders. Proficient in designing scalable solutions and collaborating with cross-functional teams to meet customer data curation needs.
Highest-signal resume keywords
Technical Pre-Sales EngagementsML Model TrainingModel Evaluation DesignPython ProgrammingData Processing and Distributed Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
ML Model TrainingModel EvaluationData AnalysisPython ProgrammingSupervised Fine-TuningReinforcement LearningMetrics and BenchmarksData Lakes/WarehousesDistributed Training ConceptsCloud Deployment Environments
Soft Skills
Strong Communication Skills
Tools & Technologies
PyTorchHugging FaceSparkRayAWSGCPAzureDockerKubernetes
Industry Keywords
Data CurationCustomer EngineeringTechnical ConstraintsBusiness GoalsEvaluation PlansCustomer PoCsTraining BehaviorProductionization Recommendations
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonPyTorchRaySpark
About the role
Key responsibilities & impact- Support customers in a highly technical pre-sales role
- Partner with strategic prospects to understand data curation needs, technical constraints, and business goals
- Design scalable solutions demonstrating the impact of DatologyAI’s data curation platform
- Embed deeply with strategic customers to understand business challenges and technical requirements
- Lead end-to-end customer PoCs connecting data curation, training behavior, and evaluation outcomes
- Analyze datasets, design training plans, and interpret results
- Partner with customer ML teams to map data and curation strategy
- Design and execute evaluation plans for base and post-trained models
- Select appropriate benchmarks and metrics and run model evaluations
- Produce customer-ready evaluation reports covering methodology, metrics, baselines, ablations, conclusions, and productionization recommendations
- Communicate technical results and tradeoffs in compute, latency, and deployment cost to ML experts and executives
- Collaborate with GTM, Engineering, and Research teams on customer experiences, demos, requirements, and product strategies
- Provide technical guidance, training, and documentation to prospects
Requirements
What you’ll need- 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, domain-specific mid-training, and post-training, including supervised fine-tuning and reinforcement learning
- Ability to design, run, and interpret model evaluations for base and post-trained models
- Knowledge of metrics, benchmarks, evaluation harnesses, results analysis, and customer-facing presentation of findings
- Strong programming skills in Python or equivalent
- Experience with data processing and distributed systems such as Spark, Ray, and data lakes/warehouses
- Familiarity with PyTorch and Hugging Face ecosystems
- Familiarity with distributed training concepts and deployment environments across cloud, on-premises, and hybrid infrastructures
- Familiarity with AWS, GCP, or Azure
- Familiarity with Docker and Kubernetes
- Strong communication skills
- Required to travel to customer sites as needed
- Ability to work in the United States is indicated by the employment-visa sponsorship question
Benefits
Comp & perks- 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 provided in the office
- Relocation assistance for employees moving to the Bay Area
- Meaningful equity