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Quantum Computing – Quantum Product & Engineering Manager_Products & Platforms

Deloitte US · Atlanta, GA, United States · Austin, TX, United States · Boston, MA, United States · Chicago, IL, United States · Cincinnati, OH, United States · Cleveland, OH, United States · Columbus, OH, United States · Costa Mesa, CA, United States · Dallas, TX, United States · Denver, CO, United States · Detroit, MI, United States · Houston, TX, United States · Indianapolis, IN, United States · Kansas City, MO, United States · Los Angeles, CA, United States · Miami, FL, United States · Monterey, CA, United States · Morristown, NJ, United States · Nashville, TN, United States · NY, United States · Philadelphia, PA, United States · Pittsburgh, PA, United States · Sacramento, CA, United States · San Antonio, TX, United States · San Diego, CA, United States · San Francisco, CA, United States · Seattle, WA, United States · Tallahassee, FL, United States · Tampa, FL, United States · Tempe, AZ, United States

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Deloitte US

Quantum Computing – Quantum Product & Engineering Manager_Products & Platforms

Atlanta, GA, United States
Austin, TX, United States
Boston, MA, United States
Chicago, IL, United States
Cincinnati, OH, United States
Cleveland, OH, United States
Columbus, OH, United States
Costa Mesa, CA, United States
Dallas, TX, United States
Denver, CO, United States
Detroit, MI, United States
Houston, TX, United States
Indianapolis, IN, United States
Kansas City, MO, United States
Los Angeles, CA, United States
Miami, FL, United States
Monterey, CA, United States
Morristown, NJ, United States
Nashville, TN, United States
NY, United States
Philadelphia, PA, United States
Pittsburgh, PA, United States
Sacramento, CA, United States
San Antonio, TX, United States
San Diego, CA, United States
San Francisco, CA, United States
Seattle, WA, United States
Tallahassee, FL, United States
Tampa, FL, United States
Tempe, AZ, United States

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Job details

Apply by: Jan 1, 2027
Experience: 5+ years of total professional experience in software engineering, data engineering, applied research engineering, or a related field.
Posting language: English
Posted: Oct 23, 2026

Original job description

The Team Innovation & Delivery Transformation is an organization within Deloitte Consulting that manages a portfolio of emerging technology investments spanning multiple time horizons. Our mission is to accelerate the next generation of technology-driven Consulting offerings. The Quantum Computing team will drive the ecosystem, capability and solution development to drive the impact of quantum technologies across all industries and clients we serve, with the aim of establishing Deloitte as a thought leader and Firm of choice for transformative and disruptive quantum technology. Position Summary Do you have a passion for innovation and emerging technologies, along with a practical application of quantum computing? Would you like to be a part of the development of a new firm offering? We are currently seeking an experienced Quantum Product & Engineering Manager to help build and scale our quantum computing offering. As a Manager, you will lead a team of Quantum Product Software Engineers while remaining hands-on in the technical work. You will manage engineering projects that transform quantum algorithms, research code, and experimental prototypes into production-ready software for Deloitte products and client solutions. Working across a matrixed organization, you will partner with quantum researchers, product and solution engineers, and business stakeholders to translate emerging research into scalable, supportable, and commercially relevant capabilities. Recruiting for this role ends on 12/31/26. Work You’ll Do This role combines leadership, technical delivery, product engineering, and client service. You will lead internal engineering initiatives, contribute to client-facing projects, and establish the structure, quality practices, and delivery discipline needed to operationalize quantum and quantum-inspired technologies.

Manage Quantum Product Software Engineers by providing technical direction, coaching, feedback, work review, and support for career development and performance.
Structure and manage projects that transform quantum research into production-ready capabilities, including scoping, work planning, delivery tracking, risk management, deployment readiness, and leadership reporting.
Remain hands-on in refactoring algorithms, research code, and prototypes into reusable, maintainable software through testing, interface design, performance evaluation, documentation, packaging, versioning, and release management.
Define and apply standards for code quality, automated testing, CI/CD, dependency management, security, reliability, maintainability, and operational readiness. Develop reusable libraries, APIs, services, deployment patterns, and engineering playbooks.
Partner with quantum researchers, product and solution engineers, and business stakeholders to validate algorithms, define technical requirements, and integrate quantum and quantum-inspired capabilities into applications, data pipelines, machine learning workflows, APIs, and cloud environments.
Lead or contribute to client-facing projects, technical demonstrations, prototypes, proposals, product roadmaps, thought leadership, and eminence activities. Communicate technical approaches, tradeoffs, constraints, and recommendations to technical and business audiences.

Required Skills:

Bachelor’s degree in Computer Science, Statistics, Mathematics, Computer Engineering, Electrical Engineering, or a related quantitative field, or equivalent combination of education and relevant experience.
5+ years of total professional experience in software engineering, data engineering, applied research engineering, or a related field.
3+ years of experience leading personnel and technical project delivery, including oversight of software development teams in quantum computing, AI/ML, or a related technical domain.
Experience delivering and deploying client-facing technical solutions in a consulting or professional services environment.
Experience converting experimental, research, or proof-of-concept code into reusable, maintainable software and integrating capabilities into applications, services, data pipelines, or enterprise platforms.
Proficiency in Python for production software development, application integration, automation, and data-intensive workflows.
Experience structuring, planning, and managing technical projects, including scoping, delivery tracking, risk management, quality practices, and leadership reporting.
Experience designing or consuming APIs, libraries, packages, or service interfaces, with a working understanding of data engineering concepts and patterns.
Proficiency with Git-based development and CI/CD practices, including automated testing, code quality, packaging, versioning, dependency management, and release processes.
Experience using cloud platforms such as AWS, GCP, or Azure for application development, integration, deployment, or analysis.
Ability to evaluate tradeoffs involving performance, scalability, reliability, maintainability, security, and integration complexity.
Familiarity with artificial intelligence and machine learning concepts and workflows.
Strong verbal and written communication skills, with the ability to explain technical concepts and recommendations to technical and nontechnical audiences, including leadership.
Ability to travel up to 10%, based on business needs and the clients and industries served.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Skills:

Master’s degree in Computer Science, Statistics, Mathematics, Computer Engineering, Electrical Engineering, or a related quantitative field, or equivalent advanced technical experience.
Applied understanding of quantum computing and quantum-inspired methods, including quantum circuits, gates, measurement, noise, data encoding, feature maps, and hybrid quantum-classical workflows.
Hands-on experience with one or more quantum or quantum-inspired frameworks, such as Qiskit, PennyLane, Cirq, or Quimb.
Practical experience in at least one specialized area, such as tensor networks, quantum machine learning, optimization, simulation, data encoding and feature maps, or hybrid quantum-classical computation.
Experience working in an emerging-technology or new-offering environment, with the ability to translate ambiguous problems into structured technical and engineering plans.
Experience implementing tensor-network methods, including tensor representations, decomposition and contraction strategies, computational tradeoffs, and applications to quantum simulation, machine learning, or model compression.
Experience conducting applied research or structured experimentation involving quantum or quantum-inspired methods, including prototype development, classical benchmarking, evaluation, and documentation.
Experience with generative AI, large language models, natural language processing, or model compression.
Experience with operations research, optimization, Monte Carlo, or other simulation techniques.
Familiarity with quantum error mitigation, quantum error correction, and fault-tolerant quantum computing concepts.
Experience with graph databases or graph-based analytical methods.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 - $278,300.

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More about this job

Skills

Lead a team
Manage engineering project
Research
Recruitment
Leadership
Coaching
Manage several projects
Risk management
Reporting
Documentation
Packaging
Test automation
CI/CD
Define technical requirements
Machine learning
Computer science
Statistics
Computer engineering
Electrical engineering
Data engineering
Software development
ML
Python
Industrial software
Git
AWS
Google Cloud
Microsoft Azure
Artificial intelligence
Communication skills
Natural language processing

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