Senior Solutions Engineer - Energy/Oil & Gas - datarobot

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.

As a Senior Pre-Sales AI Solutions Engineer for Oil & Gas, you'll be the technical leader in the field for complex, high-impact opportunities across the energy value chain — upstream (exploration, drilling, production), midstream (pipeline and transport), and downstream (refining, petrochemicals). You will partner with Account Executives and sales leadership to run technical discovery, architect solutions, deliver compelling demos, and lead proof-of-value engagements that show measurable outcomes against the metrics operators care about, such as production uplift, unplanned-downtime reduction, HSE performance, and emissions and methane-monitoring targets, while addressing governance, risk, and the deployment realities of remote, intermittently connected, and often air-gapped operating environments.

This is a hands-on role for someone who can credibly advise energy customers on how to move from "AI pilots" to production-grade AI systems with observability, governance, and controls across models, LLMs, and agentic apps—including AI that must operate alongside OT/SCADA and industrial historian systems in safety-critical settings.

Key Responsibilities:

Business-to-Technical Translation: Partner with sales teams to understand operators' strategic priorities and technical constraints; map those to DataRobot capabilities, with tailored messaging for energy personas (CIO/CTO, Chief Data Officer, VP of Digital/Digital Transformation, reservoir and production engineering leaders, plant and reliability managers, HSE leadership, and OT/process-control practitioners).

Demo Execution & Use Case Framing: Deliver engaging, outcome-oriented demos grounded in oil & gas use cases, such as predictive maintenance on rotating equipment (ESPs, compressors, turbines), production optimization and decline-curve analysis, predictive emissions and methane-leak detection, drilling optimization and ROP prediction, refinery yield and energy optimization, and demand forecasting, for both new prospects and existing customers; shape and refine use cases based on asset maturity, data availability, and strategic alignment.

Solution Design & Deployment Readiness: Define key technical requirements and recommend deployment models that fit energy operating realities—on-prem, edge, hybrid, and air-gapped or low-connectivity field deployments, and advise on readiness of data to ensure quick time-to-value for new and expansion opportunities.