Compensation Overview

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. We’re working on building an efficient marketplace of jobseekers and employers and need generalist software engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result.

Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives.

Responsibilities:

• Provide other teams with the self-service capabilities to produce, ingest, transform, consume and integrate data with other systems
• Deep expertise in designing, planning, productionizing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments
• Experience in large scale data processing technologies such as Spark, various AWS technologies (Glue, S3, etc), data catalogs, data governance and large scale data lakes
• Actively build community and culture throughout the engineering organization
• Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas
• Help continuously improve our engineering processes and practices
• Continually research and implement management best practices, including providing frequent, actionable, constructive feedback to team members

Minimum Qualifications:

• 6+ years of experience in a fast-paced software development environment at scale and particularly focusing on data management, pipelines, tools, and platforms
• 2+ years of engineering leadership experience
• 2+ years of experience with data integration tools (for ex. Apache Kafka)
• Familiarity with data storage technologies (for ex. Delta Lake)
• Familiarly with distributed data processing frameworks used widely for big data processing and analytics (for ex. Spark, Flink)

Preferred Qualifications:

• BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field
• 2+ years of formal engineering management experience
• Experience operating in a global environment and working with teams across multiple geographies
• Demonstrated experience innovating novel approaches and solutions to ambiguous problems
• Experience managing offshore development teams or projects

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 $140,000-$227,000. 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.