Quantum Go-To-Market Specialist

Quantum Go-To-Market Specialist
The Opportunity:

Are you fascinated by the possibilities of quantum technology? Are you passionate about collaboration and eager to build partnerships that drive innovation? Are you excited to identify and capture new business within a growing industry? We have an opportunity for you to leverage your scientific and technical expertise to advance quantum computing and sensing capabilities. In this role, you will strengthen customer capacity and steward critical quantum collaborations.

What You'll Work On:

• Work closely with customers to understand their needs and provide direct quantum support in a laboratory or agile software development environment.
• Apply your expertise in software engineering for problem-solving, design, development, and maintenance of cutting-edge quantum systems.
• Identify and grow technical collaborations that form the foundation of engineering advancements.
• Identify new growth areas for our quantum and artificial intelligence businesses and establish go-to-market strategies.

You Have:

• Experience in laboratory or agile software development environments
• Experience in data science, data engineering, or artificial intelligence
• Experience managing multi-organization collaborations
• Experience with languages such as Python, C, C++, or Rust
• Experience leading and managing teams of scientists, engineers, or developers
• Ability to obtain a Top Secret clearance
• Bachelor's degree and 5+ years of experience in data analytics, computer science, software development, quantum technology, product management, or technology entrepreneurship, OR Master's degree and 3+ years of experience in data analytics, computer science, software development, quantum technology, product management, or technology entrepreneurship

Nice If You Have:

• Experience establishing multi-organization collaborations
• Experience with vendor vetting and relationship management
• Experience in quantum materials, qubit control, or related quantum information science
• Possession of excellent collaboration skills
• Possession of excellent verbal and written communication skills
• Doctorate degree in Physics, Materials Science, Computer Science, or Electrical Engineering

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.