Senior Manager, Analytics

Data & Analytics San Francisco, California


At Glassdoor, our mission is to help people everywhere find a job and company they love. We do that through data science – by matching people with the best jobs for them. This is a hard problem and we are looking for curious and brilliant individuals who are up for revolutionizing the way people find and choose jobs.

We have raised $160 million from top-tier VCs such as Google Capital, Tiger Global and Benchmark and we are on a hyper-growth trajectory. Each month, more than 41M users visit Glassdoor, but our aspiration is to enable every person in the world with deep content & jobs information. We need your help to accelerate this growth further… Come join us!

Decision Science @ Glassdoor

The Decision Science team drives data-driven strategy and decision making across the company through predictive analytics, testing and optimization.  We work on a wide variety of problems. We drive product prioritization and inform business strategy by developing a deep understanding of our users and clients. We work with Product team to build and refine data products, such as personalization to power the site and internal products, such as fraud detection, to improve our business efficiencies. We work with Sales team to score and prioritize leads, with Marketing team to build media models, optimize spend to increase pipeline, with Marketplace to understand elasticity of supply and demand, and work with Finance and Business Operations teams on financial planning and forecasting. If gaining exposure to a wide variety of business functions across a fast-growing company excites you, this is the place to be.

This Role

The Senior Manager, Analytics on the Decision Science team will head up a team of 4 Data Scientists and Analysts working with the Consumer Product team.

At Glassdoor, our product philosophy is to build products that solve user pains. We are relentless in learning through experimentation. Since different job seekers have different needs, every feature we build must be contextual and personalized.  Data informs every feature we build.  We deeply analyze user behavior, through our logs or external research.

As the Senior Manager, Data Analytics, you will support the Consumer Product team.  The Consumer Products includes Jobs, Content (Salary/Ratings/Reviews/Benefits/etc.), Engagement, International, and Mobile App teams.  You will drive our understanding of job seekers and the best products to build for job search. E.g. how do job seekers consume reviews and salaries content on Glassdoor? Would it make sense to integrate reviews content with jobs experience, or when is it a distraction? What search filters are relevant for which queries? What brings users back to our job search product? What is the typical process around saving jobs to apply later? What is the optimal frequency and relevancy threshold for job alerts? You'll generate a number of hypothesis and inform decision making for all these questions.  In addition, you’ll define detailed data requirements and prioritize them with the Data Engineering team and ensure that data solutions developed are intuitive and meet the needs of the business users.

A typical week would comprise of brainstorming with Product Directors on new project ideas, building strategy and criteria for success of the project, sprint planning, KPI measurement, building dashboards for business teams to consume, analyzing the health of our product, developing insights and recommendations based on deep dive analyses.


The ideal candidate will be extremely results driven and passionate about winning. You exercise very sound judgment and have the ability to balance sophistication with simplicity, scientific rigor with pragmatism and agility with quality.

  • 6+ years of quantitative experience, ideally in an Internet company. Quantitative Degree – like Statistics, Operations Research, Physics, Computer Science, Economics, etc.
  • Leadership: Ability to partner with executives, business stakeholders and product managers to define roadmaps. You see what could be and drive the organization there.
  • People Management: You must have experience hiring, mentoring, and managing a team of data scientists with high retention rates.
  • Strong applied analytics: This means you love data, gleaning insights from data, and making decisions based on data. You need to have demonstrable history of doing this.
  • Outstanding problem solving skills: You’re not just repeating a playbook, you’re looking at every problem with fresh eyes and digging deep for insights and solutions.
  • Experience with techniques and tools: Hands-on experience working with large data-sets, modeling, and statistics.  Proficiency at SQL, R or Python.  Extensive A/B & multivariate testing experience.

Why Glassdoor?

  • Work with purpose – join us in creating transparency for job seekers everywhere
  • Glassdoor gives back! Glassdoor is a Pledge 1% member; all employees receive 3 paid volunteer days per year
  • 100% company paid medical/dental/vision/life coverage, with 80% dependent coverage
  • Equity in a late stage startup backed by top-tier VCs
  • Conveniently located office in the heart of downtown San Francisco (Embarcadero)
  • Fully-stocked break rooms with complimentary food and drinks
  • Paid holidays and flexible paid time off
  • Your choice between Mac or PC

Glassdoor is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.