Requirements Translation & Traceability
You will work directly with quantum physicists to extract scientific intent — goals such as enabling a logical non-Clifford gate, achieving specific QPU-level performance milestones, or meeting target fidelity thresholds — and translate them into structured, executable engineering requirements.
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Build full traceable requirement hierarchies from top-level physics goals down to subsystem specifications
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Cover domains including control electronics, embedded systems, optics, calibration workflows, and automation
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Define clear acceptance criteria and validation plans at every level
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Ensure no critical requirement lives informally in someone’s head
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Your work will create clarity where complexity currently dominates.
Documentation Discipline & Governance
You will own and elevate the requirements process, not just participate in it.
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Defining standardized requirement templates
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Establishing definition-of-ready and definition-of-done criteria
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Implementing milestone readiness frameworks
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Institutionalizing documentation governance within Jira and Confluence
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Ensuring proper decomposition, traceability, ownership, and auditability
You will introduce structure without bureaucracy — building systems that accelerate execution rather than slow it down.
Agile Delivery Partnership
Engineering owns delivery. You will be their strongest product partner.
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Structure requirements so they are consumable by agile hardware and software teams
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Decompose physics goals into Jira epics and stories while preserving validation rigor
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Participate fluently in sprint planning, backlog grooming, and retrospectives
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Operate effectively in hybrid delivery environments where hardware constraints meet agile cadence
You understand where agile breaks in hardware environments — and how to adapt it without becoming dogmatic or reverting to rigid sequential processes.
Stakeholder Alignment & Process Maturity
You will align scientists, hardware engineers, and software engineers around shared execution frameworks.
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Translating between research language and engineering execution models in real time
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Surfacing unstated assumptions in scientific requirements
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Challenging habits constructively
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Raising the overall maturity of technical product management across the organization
You lead through credibility and demonstrated value — not mandate.