Senior Product Manager
Applied Computing
Skill Required
Key highlights
- Required experience: 5+ years as a Product Manager
- Notable requirement: Direct experience in Oil & Gas or Energy (ideally downstream)
Role overview
Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. The company is live across oil and gas and petrochemicals, working towards a mission of sustainable abundance for a growing planet by allowing companies to use AI at scale to harness operational data and optimize in real time. The Product Manager is responsible for product adoption, usage, and value-generation. This is a customer- and domain-led delivery role that involves spending real time with operators in petrochemicals to understand decision-making processes and translating those insights into product capabilities and features, working closely with AI researchers, ML engineers, full stack engineers, project managers, and account managers.
Responsibilities
- Deep understanding of users, their problems, what matters to them and how they make decisions
- Product strategy and roadmap for your area of Orbital
- Strong working knowledge of downstream operations and the workflows Orbital needs to fit into
- Prioritisation decisions, balancing customer feedback against hypotheses of what will best drive impact
- Requirements, specs, and acceptance criteria
- Ongoing iteration and testing with engineering and research colleagues
- Close relationships and feedback loops with customers and users
- Product, usage and utilisation analytics
- Spend regular time with customers — onsite where useful — to learn about their problems and understand their world
- Represent the voice of the customer inside the company, and the voice of the roadmap to customers
- Build and maintain deep knowledge of downstream O&G operations and how operators make decisions today
- Translate customer needs into new features, functionality, workflows and capabilities
- Ensure your area of Orbital is adopted, used and creating value for customers
- Translate downstream operational challenges — refining constraints, petrochemical process economics, safety and compliance — into a clear, prioritised backlog
- Make and defend prioritisation calls, balancing near-term customer commitments with platform durability
- Partner closely with research and engineering leads to scope, spec, and sequence work
- Daily calibration of where your research and engineering colleagues should be focused on
- In the details that matter - scoping requirements, testing hypotheses and iterating on the latest release
- Coordinate with customer-facing project managers so committed timelines reflect real product and engineering capacity
- Communicate roadmap, rationale, and trade-offs clearly to leadership, engineering, and customers
- Surface risks and scope trade-offs early — no surprises
- Maintain artefacts such as roadmap documents, release notes, and customer-facing capability overviews
Requirements
- 5+ years as a Product Manager, ideally in enterprise B2B SaaS or deep-tech
- Experience with physics, chemistry, heavy industry, manufacturing or AI, UI/UX and workflows
- Direct experience in Oil & Gas or Energy, ideally downstream (refining, petrochemicals)
- A track record of inventing tech products
- Comfort operating with ambiguity, incomplete data, and evolving customer needs
- Clear, structured written and verbal communication — able to represent customer needs to a technical audience and technical trade-offs back to customers
Nice to have
- Experience building AI products – where the product is powered by in-house trained models
- Experience building agentic workflows and agentic product experiences
- Exposure to enterprise delivery environments
- Experience with process control, operations, or reliability engineering software
Additional details
- The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that.
- We’ve raised over $32 million, including one of the largest seed rounds for an AI company in the UK.
- Process exists to serve delivery, not the other way around
- Pragmatism beats dogma; we adapt tools and rituals to reality
- We value clarity, speed, and ownership over perfect frameworks
- We iterate on process the same way we iterate on product
- What This Role Is Not: Not a delivery or operations role tracking sprint mechanics — that’s Product Operations
- What This Role Is Not: Not a Scrum Master
- What This Role Is Not: Not a passive requirements-taker; this role sets direction
- What This Role Is Not: Not detached from the field — you’ll spend meaningful time with customers and operations teams
- Success First 60–90 Days: You’ve spent meaningful time with downstream customers and can speak fluently to their operational priorities
- Success First 60–90 Days: A clear, prioritised roadmap exists for your product area, understood by engineering and leadership
- Success First 60–90 Days: You’re the go-to person for “why are we building this” in your area
- Success 6–12 Months: Your product area ships features, functionality and workflows that measurably move customer-defined metrics — safety, uptime, margin, carbon intensity
- Success 6–12 Months: Customer-facing and internal project managers are aligned on what’s being built and why
- Success 6–12 Months: Your roadmap decisions are trusted by engineering, leadership, and customers alike
- Originally posted on Himalayas