ZipRecruiter
Product Owner / Customer Success - Upstream Oil & Gas USA
ZipRecruiter, Houston, Texas, United States, 77246
Overview
Were building the next of industrial AI for Upstream Oil & Gas, intelligent systems that reason over time series sensor, drilling, and production data to optimise exploration and production decisions. As our Product Owner, you’ll be the bridge between the market, the users, and our engineering team. Your role is to define what gets built, why it matters, and how it aligns with operator workflows. You’ll own the product specification, market/user requirements, and competitive analysis, translating industry needs into actionable engineering deliverables. You will engage directly with petroleum engineers, geoscientists, drilling teams, and field operators to understand their standard work processes, pain points, map them into system requirements, and drive clarity on how Orbitals AI should solve them. This role focuses on applying advanced AI to subsurface, well, and production operations, and defines the product playbook for one of the hardest industries to transform. Core Responsibilities
Market & User Research
Engage with upstream operators, drilling contractors, and service companies to capture needs across exploration, drilling, completions, and production. Analyse market trends, regulations, and digital initiatives in O&G to identify product opportunities. Map competitor offerings and gaps in the digital oilfield / upstream AI space.
Define Product Requirements
Write Product Requirements Documents (PRDs) that translate user problems into clear specs. Prioritise features based on business value, technical feasibility, and market impact. Ensure requirements address both AI model development (time-series, physics-informed, LLMs) and user-facing workflows (dashboards, anomaly detection, RCA, optimisation).
Collaborate with Engineering & Research
Act as the voice of the customer in sprint planning and backlog refinement. Translate ambiguous industry workflows (e.g. well log interpretation, drilling optimisation, production surveillance) into structured product stories. Work closely with AI engineers and domain experts to validate feasibility and refine scope.
Drive Execution & Validation
Ensure each release ties back to user outcomes and upstream operational KPIs. Pilot features with operators in live upstream environments and capture structured feedback. Iterate rapidly on product scope, balancing long-term vision with near-term delivery.
Requirements
Proven experience as a Product Owner / Product Manager in Upstream Oil & Gas domain. Strong understanding of upstream oil & gas workflows (seismic interpretation, drilling, completions, reservoir management, production optimisation). Ability to conduct structured market research and user research and distil findings into clear product direction. Experience writing detailed PRDs, user stories, and specs for technical teams. Familiarity with AI/ML-driven products or industrial digital twins is a plus. Excellent communication skills for engaging with both field operators and engineering teams. What Success Looks Like
Clear product specifications exist that reflect both market reality and user workflows. Engineering have unambiguous guidance on what to build and why. Customers see new releases that directly address their operational pain points. Orbitals upstream product is differentiated in the market, solving problems competitors don’t.
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Were building the next of industrial AI for Upstream Oil & Gas, intelligent systems that reason over time series sensor, drilling, and production data to optimise exploration and production decisions. As our Product Owner, you’ll be the bridge between the market, the users, and our engineering team. Your role is to define what gets built, why it matters, and how it aligns with operator workflows. You’ll own the product specification, market/user requirements, and competitive analysis, translating industry needs into actionable engineering deliverables. You will engage directly with petroleum engineers, geoscientists, drilling teams, and field operators to understand their standard work processes, pain points, map them into system requirements, and drive clarity on how Orbitals AI should solve them. This role focuses on applying advanced AI to subsurface, well, and production operations, and defines the product playbook for one of the hardest industries to transform. Core Responsibilities
Market & User Research
Engage with upstream operators, drilling contractors, and service companies to capture needs across exploration, drilling, completions, and production. Analyse market trends, regulations, and digital initiatives in O&G to identify product opportunities. Map competitor offerings and gaps in the digital oilfield / upstream AI space.
Define Product Requirements
Write Product Requirements Documents (PRDs) that translate user problems into clear specs. Prioritise features based on business value, technical feasibility, and market impact. Ensure requirements address both AI model development (time-series, physics-informed, LLMs) and user-facing workflows (dashboards, anomaly detection, RCA, optimisation).
Collaborate with Engineering & Research
Act as the voice of the customer in sprint planning and backlog refinement. Translate ambiguous industry workflows (e.g. well log interpretation, drilling optimisation, production surveillance) into structured product stories. Work closely with AI engineers and domain experts to validate feasibility and refine scope.
Drive Execution & Validation
Ensure each release ties back to user outcomes and upstream operational KPIs. Pilot features with operators in live upstream environments and capture structured feedback. Iterate rapidly on product scope, balancing long-term vision with near-term delivery.
Requirements
Proven experience as a Product Owner / Product Manager in Upstream Oil & Gas domain. Strong understanding of upstream oil & gas workflows (seismic interpretation, drilling, completions, reservoir management, production optimisation). Ability to conduct structured market research and user research and distil findings into clear product direction. Experience writing detailed PRDs, user stories, and specs for technical teams. Familiarity with AI/ML-driven products or industrial digital twins is a plus. Excellent communication skills for engaging with both field operators and engineering teams. What Success Looks Like
Clear product specifications exist that reflect both market reality and user workflows. Engineering have unambiguous guidance on what to build and why. Customers see new releases that directly address their operational pain points. Orbitals upstream product is differentiated in the market, solving problems competitors don’t.
#J-18808-Ljbffr