Indeed

Compensation

Full Description

Our Mission As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) Day to Day Influence and drive technical direction and goals across multiple teams. Identify and solve complex high-value advertising and monetization problems that span multiple teams and product areas. Provide detailed architectural and algorithmic guidance for projects across the organization. Mentor technical leads across multiple teams. Guide teams both directly and indirectly through other technical leaders to deliver advertising and monetization projects of significant technical complexity. Develop and effectively communicate long-term technical vision, direction, architecture, and plans for projects that impact advertising and monetization. Interview candidates for various technical leadership positions and train other interviewers. Lead architectural analysis, design, and implementation of large-scale, company-wide efforts that cross technologies and systems, both internally developed and 3rd-party-developed. Write software to fulfill larger, less well-defined full-stack work requests, including the creation of prototypes, proofs-of-concept, and reference implementations for your team's products. Responsible for working with Product Managers, Engineering leads, Science leads and other stakeholders to clarify requirements, and decompose large requests into smaller ones that can be completed sequentially or in parallel. Refine Product and Engineering goals, ensuring they align with company objectives, and drive technical direction and goals across multiple teams. Design full-stack, enterprise architecture to capture integrations between systems and workflows, identify gaps and overlaps, and direct in resolving those in order to ensure systems work effectively to deliver business value. Proactively design new systems and enhancements to existing systems to support substantial new features and products. Drive process improvements for your team. Write software to fix complex bugs, triage newly reported bugs by estimating the scope and priority of each bug, investigate and resolve difficult problems, and recommend fixes for your team’s products. Communicate the details of proposed and planned solutions to technical and non-technical audiences, including impacts of potential solutions and work needed to achieve technical plans. Support your team and peers by providing feedback in the Engineering and Product organizations regarding code changes made by other engineers, designs for new enhancements, what they are doing well, and where they have opportunities for growth. Provide detailed architectural and algorithmic guidance for projects across the organization. Write documentation for your team’s products, code, and work items. Share your expertise on products and technologies by mentoring other engineers and by helping them prioritize work items based on urgency, business impact, and goals. Guide teams both directly and indirectly through other technical leaders to deliver advertising and monetization projects of significant technical complexity. Interview candidates for various positions in the Engineering organization, and participate in group discussions on candidates’ fitness for those positions. Position is in Seattle, Washington. Up to 100% telecommuting is permitted from anywhere in the U.S. Responsibilities Minimum Requirements: • Bachelor’s or foreign equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a closely related computer technical field; • Five years of professional work experience designing and leading delivery of software or Machine Learning architectures for large scale software systems with significant traffic; • Five years of work experience designing and leading delivery of algorithms and Machine Learning models for large scale software systems with significant traffic; • Five years of work experience analyzing, informing, and developing solutions to ranking or recommendation problems based on highly complex datasets; • Five years of work experience programming with JVM languages, using at least one of the following software programming languages: Kotlin, Java, Scala, C, C++, C#, Python, or Go; • Five years of work experience in large scale data analysis, using Python and Data Query Languages; • Five years of experience working with distributed databases and event streaming technologies, such as MongoDB, Kafka, Kafka Streams, or similar; • Three years of work experience mentoring and providing technical guidance to tech leads across multiple teams and business domains; and • Three years of work experience architecting and running business critical systems on cloud technologies. Experience may be gained concurrently. Multiple positions available. Salary Range Transparency Salary Range: $217,000 - $315,000 per year. Salary Range Disclaimer The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Benefits - Health, Work/Life Harmony, & Wellbeing We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 12 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://www.indeed.com/careers/benefits! Equal Opportunities and Accommodations Statement Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds. Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit https://www.indeed.com/careers/accommodations. In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page (https://www.indeed.com/esg?co=US). Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Indeed’s Employee Recruiting Privacy Policy Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs. Agency Disclaimer Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. Reference ID: 46267 The deadline to apply for this position is January 5th, 2026. #IND123 Reference ID: 46267 Application Question(s): • Are you a current or former Indeed employee? • If you have completed a Bachelor’s degree or foreign equivalent, please provide the degree discipline. • How many years of professional work experience do you have designing and leading delivery of software or Machine Learning architectures for large scale software systems with significant traffic? • How many years of work experience do you have designing and leading delivery of algorithms and Machine Learning models for large scale software systems with significant traffic? • How many years of work experience do you have analyzing, informing, and developing solutions to ranking or recommendation problems based on highly complex datasets? • How many years of work experience do you have programming with JVM languages, using at least one of the following software programming languages: Kotlin, Java, Scala, C, C++, C#, Python, or Go? • How many years of work experience do you have in large scale data analysis, using Python and Data Query Languages? • How many years of work experience do you have mentoring and providing technical guidance to tech leads across multiple teams and business domains? • How many years of work experience do you have architecting and running business critical systems on cloud technologies? Work Location: Remote