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Salary
≈ $39k – $115k per year (Estimated)
Location
In office (Khobar)
Seniority
Architect

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 12, 2026.

Overview
Company
Impact
Profile match
We deliver a precision-engineered ecosystem of advanced solutions to help push the boundaries of what’s achievable across Saudi Arabia and the broader region.

Front End is a Saudi-born, globally respected technology and industrial innovation company leading the future of energy, industry, and beyond. Recognized as Innovator of the Year at the Oil & Gas Middle East 2025 Awards and trusted by tier-one clients, we deliver a precision-engineered ecosystem of advanced solutions across energy, industrial facilities, geoscience, offshore, space, and mining - fully aligned with Saudi Vision 2030.

Our Artificial Intelligence practice delivers mission-critical, domain-specific AI - not generic models. We integrate predictive analytics, operational optimization, anomaly detection, and autonomous decision systems directly into industrial, energy, and subsurface operations, combining real-time data fusion, machine learning, and advanced modeling to drive faster, smarter, and more resilient decisions in high-stakes environments.

Role Description

This is a full-time, on-site role in Al Khobar for a Business Development Director - Artificial Intelligence. The Director will own the growth strategy, pipeline, and revenue for Front End's AI practice within the energy, oil & gas, and industrial sectors - translating our domain-specific AI capabilities into commercial solutions for upstream, midstream, downstream, and industrial clients across the Kingdom and wider region.

This is a domain-led commercial role, not a generalist technology sales position. The successful candidate must be able to sit credibly across the table from a reservoir engineer, a refinery operations manager, or a drilling superintendent, understand their technical and operational pain points, and articulate precisely how AI-driven predictive analytics, process optimization, and anomaly detection create measurable value in their environment. Candidates whose experience is purely in AI, SaaS, or software sales - without genuine oil & gas, subsurface, or industrial domain depth - will not be a fit for this role.

Key Responsibilities

  • Define and execute the business development strategy for Front End's AI offerings across the energy, oil & gas, and industrial process automation markets
  • Build and convert a qualified pipeline with upstream, midstream, downstream, and industrial/manufacturing clients, including national oil companies, operators, and tier-one industrial accounts
  • Translate domain problems - reservoir and subsurface workflows, drilling and completions efficiency, refinery and process optimization, asset integrity, predictive maintenance - into scoped AI solutions and commercial proposals
  • Partner with technical and delivery teams to shape solution architecture, proofs of concept, and use cases grounded in real operational data and outcomes
  • Lead complex, consultative, multi-stakeholder sales cycles involving engineering, operations, procurement, and C-suite decision-makers
  • Develop and manage strategic partnerships and channel relationships that extend Front End's AI reach in the energy and industrial space
  • Own commercial negotiations, contracting, and revenue targets for the AI practice, working closely with finance and legal
  • Represent Front End as a credible domain authority at industry forums, client engagements, and technical discussions

Required Qualifications

  • Minimum 10+ years in business development, commercial, or technical-commercial roles, with a substantial and verifiable portion in energy, oil & gas, or subsurface - this is a hard requirement
  • Demonstrable technical fluency in at least one core domain: upstream operations and subsurface workflows (seismic, reservoir characterization, drilling, completions), downstream and refinery/process operations, or industrial process automation for manufacturing (DCS/SCADA/PLC, process control, asset performance)
  • Proven ability to map AI and data capabilities - predictive analytics, machine learning, anomaly detection, optimization - onto specific oil & gas and industrial use cases and quantify their business impact
  • Track record of closing complex, high-value B2B deals within the energy or industrial sector in Saudi Arabia or the GCC
  • Strong command of the technical vocabulary, operating constraints, regulatory context, and decision-making structures of energy and industrial clients
  • Excellent stakeholder management across technical, operational, and executive audiences
  • Bachelor's degree in Petroleum, Chemical, Mechanical, or related Engineering, Geoscience, or a comparable technical discipline

Preferred Qualifications

  • Existing senior-level network within Saudi/GCC national oil companies, operators, or major industrial players
  • Experience selling or delivering digital transformation, Industry 4.0, or AI/analytics solutions specifically within energy or industrial environments
  • Postgraduate qualification (MBA or technical Master's) combining technical and commercial depth
  • Familiarity with Front End's solution areas: AI operations and optimization, predictive maintenance, drilling automation, and industrial anomaly detection
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