Engineering Manager

As an Engineering Manager at Palantir Technologies, you’ll lead a team of engineers focused on creating innovative solutions to our most complex technology challenges. We’re looking for an experienced, motivated, and highly organized leader with a passion for leading and developing high-performing engineering teams.You should have an advanced degree in Computer Science, Software Engineering, or a related field, with at least five years of experience in software engineering. You’ll need to have a deep understanding of software engineering principles, experience managing and coaching engineering teams, and a proven track record of successful product delivery. We’re looking for someone who can build an effective team that delivers results on time and on budget.You should be a creative problem solver, with a strong understanding of the product and the engineering process. You should have excellent communication skills, be able to motivate your team and collaborate effectively with other departments. You should also be comfortable working with a diverse range of stakeholders, and have a customer-focused attitude. If you’re looking for an opportunity to make an impact in an exciting and fast-paced environment, this could be the role for you.

According to JobzMall, the average salary range for a Engineering Manager in Palo Alto, CA, USA is $118,000 to $165,000 per year. This range is based on the median salary of engineering managers in the area as well as the experience and education of the individual engineer.

Palantir Technologies is a software company that specializes in big data analytics and intelligence analysis. Founded in 2003, Palantir's mission is to help organizations use their data to solve the world's most pressing problems. Palantir's software platform allows users to integrate, manage, and analyze data from a wide range of sources, including structured and unstructured data, to create meaningful insights and actionable intelligence. The company's technology is used by government agencies, financial institutions, and other large organizations around the world to help them make better decisions based on data.