Delivery Operations Manager

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who we are looking for As our Delivery Operations Manager , you will be at the centre of how we deploy and grow our Delivery teams as PhysicsX scales. You will bring together live and forward-looking input from Account Leads, Tech Leads, Commercial and Talent, combining it with accurate allocation and capacity data to build clear, decision-ready views, recommendations and tracked actions. From balancing competing project needs to managing bench, surge, skills gaps and upcoming transitions, you will help ensure the right people are deployed to the right work at the right time. This is a highly collaborative and hands-on role, combining strong stakeholder management with operational rigour and confidence working with data. You will run and continually improve the end-to-end staffing process, maintain dependable resource-planning information, support the onboarding of new joiners and help translate future demand into hiring priorities. Over time, you will become the trusted owner of staffing operations and capacity insight, introducing clearer processes, better workflows and greater visibility across Delivery. Responsibilities Synthesis of live and forward-looking needs from Delivery / Account teams, turned into clear, decision-ready outputs that help leaders make staffing calls and drive follow-through: Account Leads: future account plans, project timing, and changing customer priorities Tech Leads (e.g. bi-weekly sync): live staffing needs, team roles and skills fit, upcoming transitions, and delivery risks Commercial: pipeline and capacity - likelihood and timing of new work, and whether it can be staffed in the short and medium term Talent: staffing theses, upcoming joiners, and hiring priorities - why someone was hired, what for, and which future skills gaps are emerging Synthesis of all of this into clear staffing requirements, options, and unresolved decisions Updating and maintaining resource planning tools (Operating): Allocation data, including start/end dates and planned changes Project Tech Lead and relevant ownership Allocation type: Direct (SoW), Investment, Account Resource Pool, or Surge (temporary) Timely capture of staffing decisions so the data stays dependable and traceable Monitoring resource planning tools and proactively driving issues to resolution: Bench levels (too high/low) and utilisation (Allocations / Headcount) Surge: how many people, for how long, and whether they should rotate Project balance (overstaffed and understaffed) Demand feasibility (headcount vs. demand) Time-to-staff, skills gaps, and upcoming project transitions Investigation of exceptions, with clear options, trade-offs, and recommended actions Staffing scenarios, recommendation notes, and prioritisation views that lead to decisions and action Onboarding of new joiners: Point of contact for Delivery onboarding, for both new joiners to the company and new joiners moving onto projects, working with project teams so they have what they need to get up to speed quickly Coordinating and maintaining broader Delivery onboarding documentation with the wider Delivery team, keeping it accurate and current You'll also grow the role by: Proposing clearer prioritisation principles for when demand exceeds available capacity Partnering with Talent to translate expected demand into recruitment priorities - by role, skills, and timing Improving and automating workflows from onboarding through allocation, rotation, and transition Work that will be expanded by the new hire Improve and propose clear prioritisation principles for situations where demand exceeds available capacity Partner with Talent to translate expected demand into recruitment priorities by role, skills, and timing Improve and automate workflows from onboarding through project allocation, rotation, and transition Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!   https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world About you You've got 2-3+ years in a demanding, multi-functional environment - likely strategic operations, resource management, staffing, workforce planning, or