Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.
Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.
About the Role:
Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. This is a data science role based in our Palo Alto headquarters.
At Glean, data scientists collaborate with engineering, product management and design to
- Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers.
- Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps.
- Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user growth and engagement.
You will:
You’d be embedded within a specific set of products in Glean’s large offering of search and generative AI products. These products aim to make Glean mission critical for the knowledge worker (i.e. the user) and the firm she works at (i.e. the customer).
You’d explore how Glean’s search and generative AI products should intersect. You’d explore different product modalities like web, mobile and desktop apps, as well as experiences where Glean’s embedded into other products like an internal portal or another B2B SaaS product like Slack. You’d explore how unstructured data in documents, structured data and data outside of an organization should come together. You’d look into the knowledge worker as a potential creator of generative AI experiences for others around her, rather than a mere consumer of these experiences. You’d explore knowledge workers in specific job function verticals like engineering and support. You’d think about empowering Glean’s customers to reign in the proliferated set of AI agents around them for maximum value, whether or not they are created by Glean.
At the intersection of all these domains is using product analytics to enhance a user and customer’s experience. Combined with enterprise-grade & highly performant AI, which’d be delivered by sister teams, such magical experience is the prerequisite for making Glean grow into over 1B knowledge workers out there.
About you:
- You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.
- You have 5+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 2 years.
- You have strong business sense, and are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights.
- You are familiar with BI visualization tools such as Sigma, Metabase, Tableau or Looker.
- You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).
- You are proficient in Python.
- You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.
- You are strong at statistics. You have experience in applying these skills into tangible improvements in products, internal tools and processes using A/B testing and non-experimental methods.
- You are concise and precise in written and verbal communication. Technical documentation is your strong suit.
You are a particularly good fit if:
- You have experience in B2B SaaS, especially in the enterprise AI space.
- You have a very strong sense of ownership and self-motivation. You are laser focused on delivering business impact while growing as an individual along with Glean.
- You are good at managing evolving priorities while bringing core initiatives to a success.
- You have experience working with collaborators across large time zone differences.
Location:
- This role is hybrid (3-4 days a week in one of our SF Bay Area offices)
Compensation & Benefits:
The standard base salary range for this position is $175,000 - $210,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
