Oracle Cloud Infrastructure Sales Engineer

Join KPMG's rapidly growing Advisory practice, currently experiencing dynamic client demand. We are looking for adaptable professionals who thrive in a collaborative environment. At KPMG, our employees are our top priority, and we offer numerous learning and career development opportunities through our world-class training facility and leading market tools. If you seek a team-oriented firm where you can express your full self, make a significant impact, advance your skills, and explore new areas of inspiration, consider a career in our Advisory practice. KPMG is seeking an Oracle Cloud Infrastructure Sales Engineer to enhance our Alliances organization. Your Responsibilities: Drive AI and data initiatives while demonstrating the transformative potential of AI and Data technologies to our clients. Integrate technology early in the client sales cycle to support cloud-enabled digital transformation opportunities. Design and present compelling demonstrations of generative AI solutions, showcasing how these technologies can revolutionize client operations, enhance innovation, and create business value. Respond to RFPs with detailed and persuasive proposals that focus on AI and data integration, ensuring they are effectively integrated with the broader data ecosystem. Engage directly with senior technical stakeholders, including Chief Data Officers and IT Directors, to understand their generative AI goals and technical requirements, offering tailored AI solutions using the latest technologies, thus fostering strong client relationships. Boost the Alliance Influence Pipeline and Bookings growth by supporting our Alliance Sales Team with technical sales skills and business insights to develop effective sales strategies. Act with integrity, professionalism, and personal responsibility to maintain KPMG's respectful work environment. Qualifications: At least ten years of recent experience in professional services or consulting; five years in a technical sales role with a focus on AI and data integration; familiarity with AI products and data technologies is essential. A Bachelor's degree in a related field from an accredited institution is preferred, or a minimum of a high school diploma/GED and ten years of relevant sales engineering experience. Consultative and architecture experience in relevant solution areas, with outstanding presentation skills; ability to conduct business use case discussions related to technology solutions and demonstrate the value of KPMG's offerings; capacity to quickly deliver high-quality demos tailored to the needs of clients and KPMG. Strong understanding of client challenges and an ability to articulate value propositions effectively to clients and internal stakeholders as well as Alliance Partner field sales teams. Excellent consultative and interpersonal skills that have resulted in trusted business relationships with a focus on achieving results. Willingness to travel as necessary. Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship currently or in the future; KPMG will not sponsor applicants for U.S. work visa status for this role. KPMG LLP complies with all local/state regulations regarding salary ranges. The salary for this position varies based on factors such as skills, job responsibilities, prior relevant experience, and market considerations. KPMG offers a competitive benefits package tailored to support employees' well-being, including health and dental plans, vision coverage, life insurance, 401(k) plans, and personal well-being benefits. Depending on job classification, employees may receive annual Personal Time Off and observe designated holidays. KPMG is an equal opportunity employer. We comply with all applicable local, state, and federal regulations in recruitment and hiring. All qualified applicants are considered without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by law. We welcome applicants with arrest and conviction records.

Created: 2026-03-11