Senior Product Manager

• Develop product adoption, usage, and value-generation for a core area of Orbital
• Deeply understand users, their technical requirements, problems, and decision-making processes
• Own product strategy and roadmap for the assigned area of Orbital
• Build working knowledge of downstream operations and relevant workflows
• Prioritize customer feedback and product hypotheses to drive impact
• Define requirements, specifications, and acceptance criteria
• Iterate and test continuously with engineering and research colleagues
• Maintain close relationships and feedback loops with customers and users
• Analyze product, usage, and utilization metrics
• Spend regular time with customers, including onsite visits where useful
• Represent customer needs internally and roadmap direction to customers
• Translate customer needs into features, functionality, workflows, and capabilities
• Ensure the product area is adopted, used, and creating customer value
• Translate downstream operational challenges into a prioritized backlog
• Partner with research and engineering leads to scope, specify, and sequence work
• Coordinate with customer-facing project managers on timelines and capacity
• Communicate roadmap, rationale, and trade-offs to leadership, engineering, and customers
• Surface risks and scope trade-offs early
• Maintain roadmaps, release notes, and customer-facing capability overviews

• 5+ years as a Product Manager, ideally in enterprise B2B SaaS or deep-tech
• Experience with physics, chemistry, heavy industry, manufacturing or energy
• Direct experience in Oil & Gas or Energy, ideally downstream (refining, petrochemicals)
• Track record of inventing tech products
• Comfort operating with ambiguity, incomplete data, and evolving customer needs
• Clear, structured written and verbal communication
• Experience building AI products is a nice to have
• Experience building agentic workflows and agentic product experiences is a nice to have
• Exposure to enterprise delivery environments is a nice to have
• Experience with process control, operations, or reliability engineering software is a nice to have

• Remote work arrangement
• Opportunity to work on AI products for the energy industry
• Collaboration with AI researchers, ML engineers, full stack engineers, project managers, and account managers