As the worlds number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.
We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people's lives all around the world, one job at a time.
The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Long Term Incentive Plan units, an open Paid Time Off policy, and many region-specific benefits.
Seattle Base Salary Range: Software Engineer Manager 178,000 - 225,000 USD per year
As a Software Engineering Manager at Indeed you will provide hands-on leadership for a full-stack development team building and enhancing products and systems in our service-oriented, highly scalable, multi-datacenter environment. As our engineering organization grows, you will help ensure we keep the talent bar high, and grow the skills and capabilities of your team. All of Indeeds products are built with performance, scalability, and data-driven decision-making in mind. You can read more about the kinds of technology challenges we tackle on the Indeed Engineering Blog at:  http://engineering.indeed.com/blog
We are adding an Engineering Manager to our Employer Product team within our Enterprise Group! This person will be overseeing multiple products, including critical services used for insights, predictions, and recommendations. The team is working on tackling big data problems and using Machine learning, predictive analytics to forecast insights to clients across 26 markets. The Engineering Manager will work closely with Product management to help shape products that will have revenue impact.
You're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions. You are someone who finds passion in the craft, someone constantly seeking improvement and a better way to solve tough problems. You have a passion for producing the highest quality code as well as leading others to do the same. You are someone who either has built or is passionate about building scalable, reliable systems that span multiple data centers around the world and handle millions of requests every day.
You understand that the best managers serve their teams, removing roadblocks and giving individual contributors autonomy and ownership. You are someone with high standards who will push us to be better, and who will take pride in Indeed like we do. You have delivered challenging technical solutions at scale. You have led engineering teams and earned the respect of talented software developers. You are equally happy talking algorithms and data structures as you are brainstorming about agile development process and technology career development. You want to be in the mix technically while providing leadership to your teams.
What we are looking for:
3+ years of experience managing software development teams with a consistent track record of on-time delivery for large, cross-functional projects
Our managers are still very technically involved in coaching and driving technical discussions and decisions, and we value the Lead by Example philosophy at Indeed in our engineering managers.
The ability to guide a team to achieve important goals together
The desire to solve tough problems with quality software at scale
An understanding of the value derived from shipping code rapidly to production and learning/iterating on the results.
Strong ability to coach developers, helping them improve their skills and grow their careers
A deep understanding of web technologies
Preferred experience with Machine learning, building data pipelines
Experience with service-oriented and event-driven system architectures
Experience building high-performance distributed systems
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