DataRobot

Senior Solutions Engineer- Energy/Oil & Gas

Remote Solutions Engineering role with clear candidate location fit.

PostedJul 25, 2026

Eligible countries1 accepted country

Seniority signalSenior

Work settingRemote

Accepted candidate locations

USA

Role overview

Senior Solutions Engineer- Energy/Oil & Gas

Requirements and responsibilities

Readable role content extracted into sections for faster review.

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.
Compliance & Security Alignment: Support conversations around AI governance, data security, model transparency, and responsible AI in alignment with industry and regulatory context relevant to energy operators (process-safety and critical-infrastructure expectations, OT/IT segmentation, and emerging AI governance standards).
Cross-Functional Feedback Loop: Provide structured feedback on energy-sector needs, procurement hurdles, and technical blockers to Product, Marketing, and Enablement teams, ensuring DataRobot's offerings remain relevant for upstream, midstream, and downstream buyers.
Sales Collaboration: Act as a trusted advisor across the sales team by supporting Account Executives, and Engagement Director with the technical knowledge and assets that advance AI adoption in oil & gas accounts.

Knowledge, Skills and Abilities:

Strong ability to translate GenAI and ML platform capabilities into the language of energy operations and the metrics operators are measured on.
Familiarity with oil & gas data and systems—industrial time-series/sensor data, OT/SCADA and historian platforms, and common upstream/midstream/downstream workflows—strongly preferred.
Demonstrated success supporting sales pursuits (new logos and account expansion) with technical expertise and solution design.
Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, value-driven manner to both business leaders and technical stakeholders, including engineers and OT practitioners.
Comfort working in a fast-paced environment with evolving product offerings and shifting priorities.

Knowledge, Skills and Abilities:

6–10 years of experience in customer-facing AI engagement, pre-sales engineering, or technical consulting within software/SaaS, with direct experience in oil & gas, energy, or utilities preferred.
Bachelor's degree in a technical, analytical, or business-related field (or equivalent experience); advanced degree in a technical or analytical field, or in petroleum/chemical/mechanical engineering or geoscience, a plus.
Experience supporting AI/ML or advanced analytics sales, ideally for industrial or energy use cases.
Ability to travel up to 25% on average to customer meetings, workshops, industry conferences (e.g., energy-sector events), and field/asset sites, which may include travel to operational facilities.