Engineering Manager, Big Data

We offer a hybrid work environment. Most US-based positions can alsobeperformed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. At ZipRecruiter, our products help connect job seekers with employers, eager to add talent to their company. We’re building an innovative marketplace for both jobs and job seekers alike. As part of this effort, we’re hiring an Engineering Manager to lead our Big Data Engineering team.

Our business is complex; we’re working on data driven systems and applications and we’re looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team’s/tech stack’s health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth.

About the Job:

• Own the mission, execution, morale, and code quality of your team
• Partner effectively with product managers to maintain and execute against the product roadmap
• Serve as a force multiplier for your team by removing roadblocks, identifying and implementing process improvements, and delegating effectively
• Actively build community and culture throughout the engineering organization
• Continually develop, coach, motivate, and improve your team, leading by example
• Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas

Minimum Qualifications:

• 6+ years of experience in a fast-paced software development/data engineering environment, building ETL pipelines at scale
• 2+ years of experience as a Data Engineering leader
• Experience designing, building, and supporting production-grade data pipelines

Preferred Qualifications:

• BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field
• 3+ years of experience owning data pipelines for machine learning models and AI powered features, including personalization, recommendations, search, ranking, matching
• Expertise using data to power products, not just to analyze it
• Demonstrated experience innovating novel approaches and solutions to ambiguous problems

As part of our team you’ll enjoy:

• Competitive compensation
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $190,000-$240,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

**Privacy Notice:**For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice