Sr. Manager, Decision Science

HR Tech Job; San Francisco (CA); Hybrid; USD 208,000 - 265,000; Full time

Benefits offered by this job

Competitive salary

Exceptional benefits package

Flexible Vacation & Paid Time Off

Employer-matched 401(k) plan

Job summary

ZipRecruiter is seeking a Sr. Manager, Decision Science to lead the Marketplace Decision Science team. You will be a player-coach, developing a small team while personally contributing to high-impact analyses in marketplace quality, ranking changes, and A/B test design.

This role partners with Product, Engineering, and Finance to drive strategic decisions and measurable outcomes. You will own the measurement frameworks for supply-demand balance, drive rigorous experimentation, and translate

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 8+ years of product analytics or data science experience in a product/engineering/tech environment.
• 2+ years of people management experience, including direct responsibility for performance management and career development.
• Demonstrated ability to lead data teams on top organizational priorities with high levels of trust from senior stakeholders and leadership.
• Experience designing and analyzing A/B tests to drive product decisions.
• Experience developing metric and tradeoff frameworks, including modeling or forecasting the longer-term metric and revenue impact of initiatives
• Strong business acumen and a demonstrated ability to connect data analysis to measurable business outcomes.
• Excellent communication and presentation skills, with a track record of synthesizing complex findings for both technical and non-technical audiences, including executive leadership.

Responsibilities

• Lead and develop a high-performing decision science team supporting the Marketplace area.
• Dive into high-stakes analyses and set methodological standards for the area.
• Own the decision science agenda for a broad problem space across Product, Engineering, and Finance/GTM partners.
• Build frameworks to weigh competing priorities and forecast longer-term impact on metrics and revenue.
• Partner with stakeholders to define questions, set priorities, and maintain rigor in all outputs.
• Synthesize quantitative findings into clear business strategy for executive leadership and other senior stakeholders.

Skills

Data analysis

A/B testing

Executive communication

Stakeholder management

People management

Education

Bachelor's degree in a quantitative field

Job description

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:

We are looking for a Sr. Manager, Decision Science to lead our Marketplace Decision Science team at ZipRecruiter. Our Marketplace team optimizes supply and demand by turning matches into hires for jobseekers and employers, and driving sustainable revenue for ZipRecruiter. As a Sr. Manager supporting the Marketplace Team, you will be a true player-coach: developing a small, high-performing team of decision scientists while personally leaning in on high impact analyses in your problem space. You will own how marketplace quality is measured, set the bar for experimentation rigor on ranking changes, and translate a complex, often ambiguous problem space into clear strategy for Product, Engineering, and business leadership.

Key Focuses:

• Lead & Develop a High-Performing Team: Manage, coach, and grow a small team of decision scientists supporting the Marketplace area. Own performance and development conversations, set clear expectations, identify each person's strengths and growth opportunities, and foster a culture of connection, belonging, and results. Attract and develop talent as the team scales.
• Player-Coach Technical Leadership: Lean in on the highest-stakes analyses in the Marketplace space and be able to dive into the details. Set methodological standards for the area, pressure-test causal claims, and provide strategic guidance on decision science methodology for projects that extend beyond your immediate team.
• Lead Decision Science for the Marketplace Area: Own the decision science agenda for a broad and often ambiguous problem space — partnering with stakeholders to define which questions are worth asking, setting analytical priorities, and holding the team to a high bar of rigor across everything it ships. This spans work such as defining the metrics and diagnostic frameworks that describe supply and demand balance and marketplace liquidity, and setting the standard for how ranking changes are evaluated through well-designed, large-scale A/B tests that deliver rapid, reliable insight.
• Evaluate Business Tradeoffs & Quantify Long-Term Impact: Build the frameworks to weigh competing priorities — jobseeker experience against employer outcomes, short-term metric movement against durable growth. Quantify the ROI of initiatives, and where the answer isn't visible in a two-week experiment, model and forecast the longer-term metric and revenue impact so leadership can prioritize based on estimated impact and data-driven confidence.
• Strategic Cross-Functional Partnership: Serve as the trusted Decision Science leader for Product, Engineering, and Finance/GTM partners. Influence the roadmap by identifying new opportunities, and garner stakeholder buy-in by demonstrating a strong understanding of cross-functional priorities and capabilities.
• Executive Communication & Advocacy: Synthesize complex quantitative findings into clear, actionable business strategy for executive leadership and senior stakeholders. Regularly influence key decisions through effective storytelling and expert knowledge, and advocate for Decision Science to be in the room for the discussions that matter.
• Prioritization, Resourcing & Team Efficiency: Prioritize effectively across multiple concurrent projects and align your team's capacity to the goals of the Marketplace area and the company. Be opinionated about and set standards for Data and AI tooling for the team.

Minimum Qualifications:

• Bachelor's degree in a quantitative field such as mathematics, computer science, operations research, economics, or equivalent experience.
• 8+ years of product analytics or data science experience in a product/engineering/tech environment.
• 2+ years of people management experience, including direct responsibility for performance management and career development.
• Demonstrated ability to lead data teams on top organizational priorities with high levels of trust from senior stakeholders and leadership.
• Experience designing and analyzing A/B tests to drive product decisions.
• Experience developing metric and tradeoff frameworks, including modeling or forecasting the longer-term metric and revenue impact of initiatives
• Strong business acumen and a demonstrated ability to connect data analysis to measurable business outcomes.
• Excellent communication and presentation skills, with a track record of synthesizing complex findings for both technical and non-technical audiences, including executive leadership.

Preferred Qualifications:

• Prior experience with two-sided marketplaces (e.g., job boards, e-commerce, or similar platforms), particularly supply and demand dynamics.
• Experience partnering with ML or Applied Science teams on ranking, search, or recommendation systems.

As part of our team you'll enjoy:

• Competitive salary
• 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 $207,500-$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.

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.

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