We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Job description
We offer a hybrid work environment. Most US-based positions can also be performed 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 marketplace team builds the specialized products, platforms, and intelligence systems that power our Enterprise customer segment:
- Marketplace Optimization: We use machine-learning and AI techniques to optimize our job marketplace to show jobseekers the right job at the right time, and satisfying the employers who expect results for the job listings they sponsor. Four out of five employers who post a job on ZipRecruiter get a qualified candidate within the first day, and it’s our team’s responsibility to make sure that continues to be true.
Key Focuses:
We are seeking an Engineering Manager to lead our Ranking team within our Marketplace organization. This is a high-priority, high-impact role where you will lead a highly capable, senior team of Data Scientists and Machine Learning Engineers. 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.
- Lead and support a senior team (Data Scientists, Generalists, and MLEs), driving career development, workload balancing, and growth opportunities.
- Partner closely with Product Management and Decision Science to shape the product roadmap, define metrics, and establish success criteria for marketplace balancing tests.
- Evaluate day-to-day technical work, ensuring effective use of ML and AI, and providing a strong technical voice in cross-functional discussions.
- Design, build, and deploy machine-learning pipelines for modeling jobseeker behavior and job marketplace dynamics.
- Monitor the performance of our models for speed and accuracy.
Minimum Qualifications:
- 6+ years of experience in a fast-paced software development environment at scale
- 2+ years of experience as a software engineering leader
- Proven experience either as an experienced Machine Learning manager or as a Senior/Staff Data Scientist or MLE looking to transition into management.
- Ability to assess technical value, speak the language of ML engineers, and evaluate if AI is being used effectively in day-to-day work.
- Strong communication skills to collaborate effectively with leadership, product, and data science teams.
- Deep experience with ML algorithms, techniques, and best practices.
- Strong CS fundamentals (data structures, algorithms) and coding skills.
- ML frameworks (TensorFlow, PyTorch, or scikit-learn)
- Python instead of R
- Java/Scala
- Applied experience with Embeddings and/or vectors (the focus is on applying proven techniques, using established tools, frameworks, and models) to solve real business problems efficiently.
- Demonstrated ability to build reproducible ML pipelines: including experiment tracking, data and model versioning, and environment management to ensure consistent, reliable results across runs and deployments.
- Have worked through multiple versions of the same product
- Experience working on a B2C or B2B Product
Preferred Qualifications:
- BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field
- 3+ years of engineering management experience
- 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
The US base salary range for this full-time position is $200,000 - $265,000. 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.
#LI-Remote
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
Skills Required
- 6+ years of experience in a fast-paced software development environment at scale
- 2+ years of experience as a software engineering leader
- Experience as a Machine Learning manager or Senior/Staff Data Scientist or Machine Learning Engineer transitioning into management
- Ability to assess technical value and evaluate effective use of AI and machine learning
- Strong communication skills for collaboration with leadership, product, and data science teams
- Deep experience with machine learning algorithms, techniques, and best practices
- Strong computer science fundamentals in data structures, algorithms, and coding
- Experience with TensorFlow, PyTorch, or scikit-learn
- Python programming experience instead of R
- Java or Scala experience
- Applied experience with embeddings or vectors
- Experience building reproducible machine learning pipelines with experiment tracking, data and model versioning, and environment management
- Experience working through multiple versions of the same product
- Experience working on a B2C or B2B product
- BS, MS, or PhD in Mathematics, Computer Science, Physics, or a related technical field
- 3+ years of engineering management experience
- Experience innovating novel approaches and solutions to ambiguous problems
ZipRecruiter Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ZipRecruiter and has not been reviewed or approved by ZipRecruiter.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is described alongside life, disability, and pet insurance options. Mental-health resources, wellness programs, and wellness days further reinforce a broad health-and-wellbeing offering.
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Retirement Support — A 401(k) with company matching is described as part of the core package. Equity-related programs such as an Employee Stock Purchase Plan and role-dependent RSUs complement retirement-oriented benefits.
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Leave & Time Off Breadth — Flexible time off is presented as a major component of the overall rewards package. Paid holidays, sick time, and volunteer time are also included, expanding time-off options beyond standard PTO.
ZipRecruiter Insights
What We Do
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 partnerships with the best job boards on the web. We're growing rapidly in pursuit of this mission, and we're always looking for talented people to join our team. Visit ziprecruiter.com/careers to view our open roles.
Why Work With Us
We are committed to nurturing an environment where every person feels welcomed, valued, heard, and respected. We embrace and encourage our employees’ differences, and we consistently review our overall equality—including recruitment and selection, compensation and benefits, promotions, and more—to stay relevant in this space.
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