DataRobot

1 day ago

Senior Solutions Engineer - Energy/Oil & Gas

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead pre-sales AI solutions for oil & gas customers across upstream, midstream, and downstream. Partner with account teams to run technical discovery, architect DataRobot solutions, deliver outcome-driven demos, and execute proof-of-value engagements focused on measurable metrics like production uplift, downtime reduction, HSE performance, and emissions/methane monitoring. Advise on governance, security, and deployment readiness for remote, intermittently connected, and air-gapped environments, including OT/SCADA and industrial historian integration.

Location: Houston

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Translate business priorities and technical constraints into DataRobot capabilities for energy-specific stakeholders.
•Deliver outcome-oriented demos and frame use cases across common oil & gas workflows and asset conditions.
•Define solution requirements and recommend deployment models (on-prem, edge, hybrid, air-gapped/low-connectivity) and data readiness for time-to-value.
•Align with governance, data security, model transparency, and responsible AI expectations for process-safety/critical infrastructure.
•Provide feedback to Product, Marketing, and Enablement teams and support Account Executives and sales leadership with technical knowledge and assets.

Travel: Medium travel

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid LeavePaid HolidaysParental LeaveEap

Key Requirements

•6–10 years of experience in customer-facing AI engagement, pre-sales engineering, or technical consulting in software/SaaS.
•Direct experience in oil & gas, energy, or utilities preferred.
•Bachelor’s degree in a technical/analytical/business field; advanced degree in a technical/analytical area or in petroleum/chemical/mechanical engineering or geoscience is 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, conferences, and field/asset sites.

Experience:6-10 yearsSaaSAI/MLOil & gasEnergyUtilitiesIndustrial analytics

Education:Bachelor's

Skills:CommunicationDemo skillsProblem-solvingCustomer-facing expertiseAdvisory mindset

Tech Stack:GenAIMLLLMsAgentic appsOT/SCADAIndustrial historianAir-gapped deploymentsObservabilityGovernanceControlsProduction optimizationDecline-curve analysis

Company Brief

DataRobot

Provides an enterprise AI platform that automates and accelerates the end-to-end data science lifecycle, enabling organizations to build, deploy, and manage machine learning models at scale for business decisioning and predictive analytics.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn

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DataRobot

1 day ago

Senior Solutions Engineer - Energy/Oil & Gas

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Houston

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Translate business priorities and technical constraints into DataRobot capabilities for energy-specific stakeholders.
•Deliver outcome-oriented demos and frame use cases across common oil & gas workflows and asset conditions.
•Define solution requirements and recommend deployment models (on-prem, edge, hybrid, air-gapped/low-connectivity) and data readiness for time-to-value.
•Align with governance, data security, model transparency, and responsible AI expectations for process-safety/critical infrastructure.
•Provide feedback to Product, Marketing, and Enablement teams and support Account Executives and sales leadership with technical knowledge and assets.

Travel: Medium travel

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid LeavePaid HolidaysParental LeaveEap

Key Requirements

•6–10 years of experience in customer-facing AI engagement, pre-sales engineering, or technical consulting in software/SaaS.
•Direct experience in oil & gas, energy, or utilities preferred.
•Bachelor’s degree in a technical/analytical/business field; advanced degree in a technical/analytical area or in petroleum/chemical/mechanical engineering or geoscience is 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, conferences, and field/asset sites.

Experience:6-10 yearsSaaSAI/MLOil & gasEnergyUtilitiesIndustrial analytics

Education:Bachelor's

Skills:CommunicationDemo skillsProblem-solvingCustomer-facing expertiseAdvisory mindset

Tech Stack:GenAIMLLLMsAgentic appsOT/SCADAIndustrial historianAir-gapped deploymentsObservabilityGovernanceControlsProduction optimizationDecline-curve analysis

Company Brief

DataRobot

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn