AI Product Owner - Engineering (AI)

Location: Midland, TX, United States

Company

hirify.global is the employer for this AI product ownership role.

What you will do

• Identify, evaluate, and prioritize AI and automation opportunities across drilling, completions, production operations, marketing, and related field workflows.
• Define business problems, product vision, target users, workflows, roadmaps, priorities, success measures, and value hypotheses.
• Lead product discovery through prototypes, workflow simulations, data exploration, user testing, and vendor capability assessments.
• Translate operational needs into product requirements, user stories, acceptance criteria, and AI quality expectations.
• Manage the backlog, lead business validation and user acceptance testing, and make product acceptance and prioritization decisions.
• Monitor adoption, AI performance, business outcomes, realized value, user feedback, and risks to guide continuous improvement.

Requirements

• Bachelor's degree in petroleum, mechanical, chemical, or industrial engineering, data science, information systems, or a related technical field.
• At least 5 years of experience supporting drilling, completions, production operations, marketing, or a closely related oil and gas operational function.
• Experience leading cross-functional technology, analytics, process improvement, or business transformation initiatives in an operational environment.
• Experience translating operational workflows and business needs into requirements, priorities, and measurable outcomes.
• Experience working with operational, engineering, production, field, commercial, or analytics data and systems, including Spotfire, WellView, Ignition, Snowflake, XSPOC, Python, or Power BI.
• Experience delivering or supporting AI, machine learning, automation, data, or analytics products from concept through adoption.

Nice to have

• Direct Product Owner experience managing roadmaps, backlogs, user stories, and acceptance criteria in an Agile environment.
• Experience with AI-enabled product discovery, prototyping, user testing, workflow simulation, data exploration, and lightweight experimentation.
• Knowledge of AI model evaluation, responsible AI governance, model risk controls, and data quality requirements.
• Experience leading digital transformation or change adoption across operational and field teams.
• Familiarity with drilling performance optimization, completions execution, production surveillance, artificial lift optimization, production forecasting, operational reporting, and field data management.

Culture & Benefits

• Full-time employment.
• Equal employment opportunities are provided to qualified applicants.
• Diamondback participates in E-Verify.