DESCRIPTION

We’re building the next generation of industrial AI for Downstream Oil & Gas, intelligent systems that reason over time series sensor, process operations, and unstructured data to optimise refinery and petrochemical process decisions. As our Customer Success Leader and Product Owner, you’ll be the bridge between the market, the users, and our engineering team. Your role is to define what gets built – working customer backwards, 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. We expect you to engage directly with process engineers, site technologists, reliability engineers, and panel operators understanding their standard work process, pain points, mapping them into system requirements, and driving clarity on how Orbital’s AI should solve them.
This isn’t a generic product role, you’ll be shaping how advanced AI is applied to refining and petrochemical operations, defining the product playbook for one of the hardest industries to transform.

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).

REQUIREMENTS

• Proven experience as a Product Owner / Product Manager in Downstream Oil & Gas domain.
• Strong understanding of downstream oil & gas workflows (panel operations, thermodynamics & kinetics, catalysis, simulation & process optimisation, reliability and integrity – process & equipment, etc).
• Front-line experience as an operator or technologist is a plus.
• 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.
• Experience with model development (data-driven or physics-based) is strongly desired
• 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.