Technical Product Manager-Hardware Engineering

QuEra Computing, Inc.•Boston, MA

1d•$150,000 - $190,000•Onsite

About The Position

We are building quantum computing systems that push the boundary of what is physically possible. Doing so requires a rare combination of scientific depth, engineering rigor, and operational maturity. Our Quantum Control Platform sits at the heart of this effort, translating physics breakthroughs into executable engineering across hardware, software, optics, embedded systems, and automation. As we scale, we are looking for a Senior Technical Product Manager to serve as the operational backbone between our quantum physics research team and our multi-disciplinary engineering organization. This is not a traditional software product role. You will operate at the intersection of complex hardware development and modern agile delivery, making them work together in a physics-constrained environment.

Requirements

8–15+ years of experience in technical product management within deep-tech, hardware-centric, multi-disciplinary environments
Background in industries where precision and traceability are non-negotiable, such as: Photonics and optical systems (e.g., Coherent, Lumentum, II-VI); Lidar and sensing (e.g., Luminar, Ouster); Defense and aerospace with photonics or directed energy programs; Scientific instrumentation (e.g., Thorlabs, Newport); Semiconductor capital equipment (e.g., ASML, Applied Materials); Fusion energy, advanced aerospace, or modern defense companies (e.g., SpaceX, Anduril, Joby)
Personally built requirements governance frameworks, not just operated within them
Demonstrated end-to-end requirement traceability from high-level goals to subsystem specifications
Defined acceptance criteria and validation plans across complex systems
Deep fluency in Jira and Confluence
Experience with dedicated requirements management tools such as Jama or Aha
Strong technical grounding in physics, electrical engineering, optics, or related fields
The ability to engage meaningfully with PhD-level scientists and systems engineers
A mature, credible operator who earns trust quickly
Comfortable introducing process discipline in high-intellect environments
Comfortable working in ambiguity while building structure
On-site in Boston and thrive in fast, whiteboard-heavy collaboration

Nice To Haves

Direct experience with quantum computing hardware or quantum software stacks
Familiarity with neutral atom systems
Experience with optical system integration, laser control, or free-space beam control
Familiarity with calibration workflows, qubit characterization, or QPU benchmarking
Experience building or scaling a technical product management function

Responsibilities

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.
Build full traceable requirement hierarchies from top-level physics goals down to subsystem specifications.
Cover domains including control electronics, embedded systems, optics, calibration workflows, and automation.
Define clear acceptance criteria and validation plans at every level.
Ensure no critical requirement lives informally in someone’s head.
Own and elevate the requirements process, not just participate in it.
Define standardized requirement templates.
Establish definition-of-ready and definition-of-done criteria.
Implement milestone readiness frameworks.
Institutionalize documentation governance within Jira and Confluence.
Ensure proper decomposition, traceability, ownership, and auditability.
Structure requirements so they are consumable by agile hardware and software teams.
Decompose physics goals into Jira epics and stories while preserving validation rigor.
Participate fluently in sprint planning, backlog grooming, and retrospectives.
Operate effectively in hybrid delivery environments where hardware constraints meet agile cadence.
Align scientists, hardware engineers, and software engineers around shared execution frameworks.
Translate between research language and engineering execution models in real time.
Surface unstated assumptions in scientific requirements.
Challenge habits constructively.
Raise the overall maturity of technical product management across the organization.