Product Operations Manager

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Applied Computing

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚡ Energy

🤝 B2B

Artificial Intelligence • Energy • B2B

Applied Computing is an artificial intelligence company that builds physics‑grounded foundational models for energy and industrial operations. Its flagship product, Orbital, connects to plant DCS, historians and LIMS to monitor thousands of sensors in real time, forecast trends, detect anomalies, recommend optimal set‑points across competing objectives, and surface early warnings while enforcing physical constraints (mass and energy balances, reaction kinetics). Applied Computing combines time‑series models, physics‑based modeling and a language model trained on chemical engineering and petrochemical knowledge to produce explainable, auditable insights for oil & gas, refining and chemical plants. The company partners with industry firms (e. g. , KBR, Wipro) and has been recognized for AI innovation in the energy sector.

📋 Description

• Own the structure, hygiene, and prioritisation of Jira across product teams • Ensure epics, stories, dependencies, and acceptance criteria are clear and current • Maintain a healthy, prioritised backlog aligned to near-term delivery goals • Proactively identify stale, duplicated, or ambiguous tickets and resolve them • Facilitate sprint planning, reviews, and retros where they add value • Adapt delivery process to team maturity and context; no rigid Scrum enforcement • Track progress, surface blockers early, and drive resolution • Optimise for throughput, clarity, and predictability over velocity theatre • Act as the connective tissue between: Internal platform / engineering PMs, Customer-facing PMs and deployment teams • Translate customer commitments into executable engineering plans • Ensure delivery timelines reflect real capacity and constraints • Provide clear, concise delivery updates to leadership on a regular cadence • Surface risks, slips, and trade-offs early; no surprises • Maintain shared artefacts such as delivery snapshots, execution roadmaps, and sprint summaries

🎯 Requirements

• 3 years + in product operations, delivery management, or execution-focused PM roles • Hands-on ownership of Jira in engineering-heavy teams • Experience working closely with senior engineers and technical leads • Strong organisational skills with the ability to operate under ambiguity • Clear, structured written and verbal communication

🏖️ Benefits

• None specified