Sales Engineer Salary at Corning Data BETA
How much does a Corning Data Sales Engineer make?
As of April 2025, the average annual salary for a Sales Engineer at Corning Data is $84,461, which translates to approximately $41 per hour. Salaries for Sales Engineer at Corning Data typically range from $75,142 to $94,683, reflecting the diverse roles within the company.
It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
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What Skills Does a person Need at Corning Data?
At Corning Data, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
- Presentation: Presentation conveys information from a speaker to an audience. Presentations are typically demonstrations, introduction, lecture, or speech meant to inform, persuade, inspire, motivate, build goodwill, or present a new idea/product.
- Sales Engineering: Sales engineering is a hybrid of sales and engineering that exists in industrial and commercial markets. Buying decisions in these markets are made differently than those in many consumer contexts, being based more on technical information and rational analysis and less on style, fashion, or impulse. Therefore, selling in these markets cannot depend on consumer-type sales methods alone, and instead it relies heavily on technical information and problem-solving to convince buyers that they should spend money on the seller's products or services, in order to meet a business need (that is, to satisfy a business case). A sales engineer is thus both "a salesperson that understands and can apply engineering" and "an engineer that understands how to sell engineered systems". They thus not only sell but also provide advice and support. They provide this service to various internal or external customers, and they may work for a manufacturer (servicing its industrial-account/business-to-business customers), for a distributor (which in turn services the industrial-account/business-to-business customers), or for a third party such as an engineering consultancy or a systems integrator.
- Product Management: Product management is an organisational lifecycle function within a company dealing with the planning, forecasting, and production, or marketing of a product or products at all stages of the product lifecycle. Similarly, product lifecycle management (PLM) integrates people, data, processes and business systems. It provides product information for companies and their extended supply chain enterprise. The role may consist of product development and product marketing, which are different (yet complementary) efforts, with the objective of maximizing sales revenues, market share, and profit margins. Product management also involves elimination decisions. Product elimination begins with the identification of elimination candidates, proceeds with the consideration of remedial actions, continues with a projection of the impact on the business as a whole if a candidate product is eventually eliminated, and concludes with the implementation stage, where management determines the elimination strategy for an item. The product manager is often responsible for analyzing market conditions and defining features or functions of a product and for overseeing the production of the product. The role of product management spans many activities from strategic to tactical and varies based on the organizational structure of the company. To maximize the impact and benefits to an organization, Product management must be an independent function separate on its own.
- Technical Sales: Promoting and selling products to demonstrate the product's advanced technical functions and specifications to customers.
- RFP: A request for proposal (RFP) is a business document that announces a project, describes it, and solicits bids from qualified contractors to complete it.
Related Jobs
Check more jobs information at Corning Data
| Job Title | Average Corning Data Salary | Hourly Rate | |
|---|---|---|---|
| 2 | Administrative Operations Coordinator | $65,191 | $31 |
| 3 | Director, Project Management | $153,601 | $74 |
| 4 | President | $740,654 | $356 |
| 5 | Senior Account Executive | $79,058 | $38 |
| 6 | Shipping and Receiving Supervisor | $58,814 | $28 |
| 7 | Vice President, Sales | $209,942 | $101 |
| 8 | ERP Consultant | $91,007 | $44 |
| 9 | Executive Vice President | $281,833 | $135 |
| 10 | Application Consultant | $76,347 | $37 |
| 11 | Chief Financial Officer | $386,145 | $186 |
| 12 | Client Manager | $59,200 | $28 |
| 13 | Production Technician | $41,410 | $20 |
Hourly Pay at Corning Data
FAQ about Salary and Jobs at Corning Data
The average hourly pay is $41. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
According to the data, the highest approximate salary is about $94,683 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
According to the data, the lowest estimated salary is about $75,142 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.