We’re seeking a Sales Operations Analyst to support the reliable day-to-day execution of our commercial systems and processes. This role is focused on delivery, accuracy, and insight: making sure our sales operations infrastructure runs smoothly, data is trustworthy, and leadership has clear visibility into performance.
This role is based in London and reports to the Director of Business Management. You’ll partner closely with Sales, Finance, Product, and Technical teams to operate established processes, surface issues early, and support continuous improvement in a complex, high-value sales environment. This is a hands-on role for someone who enjoys operational ownership and analytical problem-solving.
Key Responsibilities:
- Operate and execute defined sales processes and flag gaps, inconsistencies, or execution issues.
- Support pipeline reviews by preparing reports, analysis, and supporting materials.
- Maintain CRM hygiene, data accuracy, and correct usage across teams and provide day-to-day user support.
- Produce dashboards, recurring performance packs, and ad-hoc analysis, running forecast processes for leadership submissions.
- Support deal analysis, approvals, pricing inputs, and documentation. Assist with non-standard deal workflows in collaboration with Finance and Legal.
- Coordinate enablement delivery and track adoption of tools and processes.
- Create, maintain, and update commercial process documentation.
- Support cross-functional workflows and information flow between Sales, Finance, Legal, and Delivery teams.
- Contribute execution support and analysis to special projects as required.
Must haves:
- Bachelor’s degree in Business, Engineering, Economics, Analytics, or a related field.
- 2+ years of experience in Sales Operations, Revenue Operations, Business Analytics, or similar roles.
We value:
- Experience in deep tech sectors such as quantum computing, AI/ML, semiconductors, robotics, advanced hardware, or scientific software.
- Familiarity with technical qualification frameworks and milestone-based forecasting.
- Experience working with product, engineering, or research teams in a commercial context.
- SQL, Python, or BI tool experience (Tableau, Looker, Power BI).
- Exposure to government, enterprise, or research-driven customers.
- Experience supporting complex B2B sales motions with long sales cycles and high deal values.
- Strong analytical and problem-solving skills with a high degree of attention to detail.
- Hands-on experience with CRM systems (Salesforce preferred) and advanced spreadsheet modeling.
- Ability to communicate clearly with both technical and non-technical stakeholders/
What is in it for you?
Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.
About Us:
Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.
By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.
By joining Quantinuum, you’ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.
Visit our news pages to learn more about Quantinuum and our scientific breakthroughs and achievements: https://www.quantinuum.com/news
Quantinuum Intro Video: The Future of Quantum Computing
Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
