Our mission.As the world’s 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.
The SMB Ads Optimization team's primary objective is to help people get jobs. To achieve this, we build systems to decide when and where to spend an employer's budget to maximize the probability of hire. We do this by owning and operating bids for SMB ad campaigns. You will directly influence Indeed's ads platform's future, and you will be responsible for optimizing and running experiments in Indeed's marketplace of employers and job seekers.
Use your expertise in big data and machine learning to solve problems like budget recommendations, forecasting, bid optimization, ads ranking, matching, personalized targeting, among other technical challenges to improve Indeed's marketplace.
Help design and build better marketplace experimentation frameworks and testing new auction strategies.
Experiment and build ad systems that help employers find the best candidates and help job seekers find their dream jobs.
Help scale a data infrastructure for our massive sets of data to enable millions of database lookups.
Help scale a data pipeline for real-time processing of an enormous amount of user behavioral data.
Have ownership over the things you build, help shape the product and technical vision, direction, and how we iterate.
Work closely with multiple teams to improve the highest-trafficked parts of Indeed, including the homepage and job search.
Work closely with the product managers and stakeholders so that they can leverage your work into new products and systems.
Get the satisfaction of knowing that you helped connect people to that perfect job that's just right for them.
We're looking for someone who
Deep expertise in big data and applied machine learning, preferably in digital advertising, auctions, or bidding systems.
Experience in ranking systems, recommendation systems, pricing and revenue management platforms, or other machine learning-based software platforms is a plus.
Experience running controlled online experiments and taking data-driven decisions for improving machine learning-based products.
Passionate about using big data and machine learning technologies to solve challenging problems in advertising.
Passionate about your work and the problems you solve.
Passion for collaboration and making others around you successful.
Has a strong sense of ownership in everything you build.
BS in Computer Science or related area, or relevant work experience.
7+ years of experience in software development.
Experience with digital advertising such as ads optimization, ads serving, ads ranking, bidding systems, budgeting, or ad targeting.
Indeed provides a variety of benefits that help us focus on our mission of helping people get jobs.
View our bounty of perks: http://indeedhi.re/IndeedBenefits
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EEO and Accommodations 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 opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Help at 1-855-567-7767, or by email at TAhelp@indeed.com at least one week in advance of your interview.
Indeed is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.