1. What is the average salary of a Product Manager I?
The average annual salary of Product Manager I is $79,063.
In case you are finding an easy salary calculator,
the average hourly pay of Product Manager I is $38;
the average weekly pay of Product Manager I is $1,520;
the average monthly pay of Product Manager I is $6,589.
2. Where can a Product Manager I earn the most?
A Product Manager I's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a Product Manager I earns the most in San Jose, CA, where the annual salary of a Product Manager I is $99,722.
3. What is the highest pay for Product Manager I?
The highest pay for Product Manager I is $92,707.
4. What is the lowest pay for Product Manager I?
The lowest pay for Product Manager I is $71,731.
5. What are the responsibilities of Product Manager I?
Guides and manages the lifecycle of new technology products or feature enhancements. Develops product concepts and designs to facilitate market needs and user requirements. Conducts research and develops a good understanding of the customer's needs, new technologies, trends in the market, and competitors. Develops requirements documents, functional specifications, and mock-ups to clearly illustrate product ideas and concepts. Participates in all phases of the product development lifecycle, including analysis, design, testing, and integration of products and introducing products to the market. Requires a bachelor's degree. Typically reports to a manager. Work is closely managed. Works on projects/matters of limited complexity in a support role. Typically requires 0-2 years of related experience.
6. What are the skills of Product Manager I
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.
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Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
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User Stories: In software development and product management, a user story is an informal, natural language description of one or more features of a software system. User stories are often written from the perspective of an end user or user of a system. They are often recorded on index cards, on Post-it notes, or in project management software. Depending on the project, user stories may be written by various stakeholders including clients, users, managers or development team members. User stories are a type of boundary object. They facilitate sensemaking and communication; that is, they help software teams organize their understanding of the system and its context. User stories are often confused with system requirements. A requirement is a formal description of need; a user story is an informal description of a feature.
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Market Research: Market research is an organized effort to gather information about target markets or customers. It is a very important component of business strategy. The term is commonly interchanged with marketing research; however, expert practitioners may wish to draw a distinction, in that marketing research is concerned specifically about marketing processes, while market research is concerned specifically with markets. Market research is one of the main factors used in maintaining competitiveness over competitors. Market research provides important information which helps to identify and analyze the needs of the market, the market size and the competition. Market-research techniques encompass both qualitative techniques such as focus groups, in-depth interviews, and ethnography, as well as quantitative techniques such as customer surveys, and analysis of secondary data. Market research, which includes social and opinion research, is the systematic gathering and interpretation of information about individuals or organizations using statistical and analytical methods and techniques of the applied social sciences to gain insight or support decision making.