Senior Staff Product Manager, Fleet Management

IonQ•Bothell, WA

About The Position

IonQ is seeking a customer-obsessed, systems-minded product leader to define the vision and specifications for software and tooling to manage its quantum fleet. This role will own Fleet Management as a product offering, encompassing telemetry, observability, remote management, incident response, and integration with commercial operations. The goal is to scale operations from per-system management to a high-leverage, coordinated global management of all deployed systems, ensuring high uptime through excellent tools. This is a global role, aiming for a follow-the-sun model supported by a few operations centers.

Requirements

Substantial experience in technical product management, ideally with direct ownership of internal platforms, operational tooling, or infrastructure software.
Previous careers in engineering, fleet or network operations, process engineering, or systems engineering are highly valued.
High agency and high accountability, with the ability to drive impact in ambiguous areas through persistence and adaptability.
Product leadership mindset focused on fleet management as an offering and a book of work.
Technical fluency to work with SREs and engineers on telemetry, process flows, data pipelines, and API surfaces.
Empathy to work closely with those who maintain complex systems.
Experience with low volume, high complexity frontier technology, from R&D through to first deployments.
Excellent written and verbal communication skills, with the ability to explain complex topics clearly to both technical and non-technical audiences.
A degree in Computer Science, Engineering, Operations Research, or a related technical field, or equivalent experience.
12+ years in technical product management or equivalent roles.
Product experience with private cloud deployments, scientific computing, or high-performance computing platforms, including their tools, users, business models, and operational challenges.
Experience building or scaling tooling for distributed, high-value physical infrastructure (e.g., data center operations, HPC operations, DCIM, observability stacks, remote field service for scientific instruments or connected hardware).
Experience with AI tooling and workflows for rapid prototyping and for predictive, self-healing, or agentic product offerings.
Experience taking internal tools to customer-facing products.
Familiarity with quantum computing or deep tech R&D.
Experience leading and mentoring other product managers.

Nice To Haves

Background in quantum computing is not required; focus is on thinking, learning, and leadership abilities.

Responsibilities

Treat internal and customer fleet operations, reliability, commercial operations, service, and support teams as customers to understand their workflows, pain points, and needs.
Develop a strong point of view on running a resilient, highly available global fleet of quantum computers.
Immerse in IonQ's system architecture, control and classical infrastructure, data pipelines, build and maintenance processes, and current tooling.
Collaborate with resilience, operations, and engineering leads to understand possibilities, ongoing work, and constraints.
Translate operational needs into a clear vision and roadmap for fleet management.
Lead cross-functional efforts to simplify, streamline, and ship fleet management solutions.
Partner with SRE and engineering to define requirements, sequence work, and implement solutions.
Drive build vs. buy decisions and manage vendor selection and rollout.
Work with the PMO and relevant teams to improve processes and communication gaps.
Establish clear interfaces between Compute Products and operational/commercial teams.
Instrument shipped solutions and use feedback, support volume, incident, and availability data to iterate and improve.
Feed learnings about operability and maintainability back into future hardware design.
Extend the fleet management platform to customers as they take on more system operation.
Define and own the vision and roadmap for fleet management, including telemetry, observability, operator tools, SLA/SLO tracking, and maintenance planning.
Establish and make visible north star metrics for fleet health and operational effectiveness.
Use incident, availability, and support data to iterate and inform future hardware generations.
Extend the platform to customers.