Data Scientist, Glean

$175-230k

SQL
Python
dbt
Mid, Senior and Expert level
San Francisco Bay Area

More information about location

3 days a week in office (Palo Alto, CA)

Glean

Enterprise search and knowledge management

Open for applications

Glean

Enterprise search and knowledge management

201-500 employees

B2BEnterpriseInternal toolsProductivitySaaS

Open for applications

$175-230k

SQL
Python
dbt
Mid, Senior and Expert level
San Francisco Bay Area

More information about location

3 days a week in office (Palo Alto, CA)

201-500 employees

B2BEnterpriseInternal toolsProductivitySaaS

Company mission

To bring people the knowledge they need to make a difference in the world.

Role

Who you are

  • You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field
  • You have 6+ years of industry experience (4+ for Masters degree holders, 3+ for PhD degree holders)
  • You are concise and precise in written and verbal communication. Technical documentation is your strong suit
  • You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights
  • You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT)
  • You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making
  • You’re strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products, internal tools and processes
  • You are proficient in Python
  • You have experience in B2B SaaS

Desirable

  • You have experience with remote work across large time zone differences
  • You have experience working on ranking problems
  • You are passionate about using AI to improve the productivity of data teams as well as non-data professionals trying to derive more value of their company’s data

What the job involves

  • 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 churn & retention
  • This specific role will address one or more of the following business domains:
  • Define KPIs, create data foundations, build visualizations and devise techniques to measure the efficacy of Glean’s world-leading document indexing, retrieval and ranking infrastructure, which powers its search and LLM-powered products. Conduct rigorous empirical analyses and influence ML ENG & ENG to improve this infrastructure
  • Collaborate with product management and product ENG teams to improve the way Glean measures interactions with its Search product, iterating on our KPIs, data foundations, dashboards and measurement techniques accordingly. Identifying opportunities and influencing ENG, design and product management XFNs to improve value-add of a user’s experience with Search vis a vis other LLM-based and general knowledge management products Glean offers

Our take

Glean is an intuitive digital assistant which allows employees to search across all their apps and find the information and tools that they need more quickly.

With so many SaaS apps being used by modern day companies, overwhelm and inefficiency inevitably enter the equation. Glean’s search engine is proving popular for how it unifies and centralizes all these distributed tools and data.

It’s been quite a start to life at Glean, having only emerged from stealth in 2021, it received a $1 Billion valuation in early 2022, thus achieving unicorn status, and has received nearly $400 million in funding so far. The SaaS platform is already used by some major companies including Grammarly, databricks, and Rubrik.

That Glean was co-founded by a quartet with senior experience at Google, Microsoft, Uber, and Facebook stands the company in good stead. However, it’s the fact that its search engine is solving a new, but very real problem in the workplace that’s seen its popularity surge so quickly, which it’s likely to continue to do in the future. Its adaptability to include new AI capabilities to its platform, such as generative AI, has Glean well set to see further growth.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

44% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Sep 2024

$260m

SERIES E

Feb 2024

$200m

SERIES D

Total funding: $655m

Company benefits

  • Medical, dental, and vision for you and yours
  • Competitive compensation and stock options
  • 401k contribution
  • Flexible work (3 days a week in the office), though we believe in folks working where they can be most effective
  • Company events, from weekly happy hours to our annual company retreat
  • Flexible hours, unlimited PTO, and company-wide winter break shutdown
  • Transparent culture
  • Learning and development stipend
  • Free meals with lunch and dinner options every day

Company values

  • One together – We leave our egos behind to forge a trusting, inclusive, and transparent environment
  • Customer obsessed – We relentlessly work to solve customer problems and focus on product quality and excellence
  • Owners – We take responsibility for our company, product, and culture, leaving things in a better state
  • Think big, start small – We dream big and solve hard problems through continuous learning and rapid iteration
  • Beyond boundaries – We are eager to learn and grow. We help each other thrive and aren’t afraid to try new things

Company HQ

Evergreen Park, Palo Alto, CA

Leadership

Former Engineer at Google and Microsoft. Is the co-founder of high growth startup Rubrik, which delivers data security and operational resilience for enterprises.

Piyush Prahladka

(Software Engineer)

Prior to joining the co-founding team at Glean, they worked as a Senior Staff Software Engineer at Google, then as an Engineering Lead at Uber.

Tony Gentilcore

(Product Engineering Lead)

Former Developer at At&T and TJC Labs. For ten years, served as a Senior Staff Software Engineer at Google, including a spell as Founder and Tech Lead / Manager of the Chrome Speed Team.

TR Vishwanath

(Engineering Lead)

Before co-founding Glean, was a Principal Software Engineer at Facebook after spending eight years at Microsoft as a Software Design Engineer, then Principal Development Lead.

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