SeniorStaff Data Scientist, Infrastructure

San Francisco, CA - USA

Yearly Salary: $ 175000 - 250000

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

About Glean:

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 companys 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 Jains 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 spanning data science applied science data engineering and business analytics. This role sits within the Growth and Enterprise Readiness data science team with a primary focus on pricing billing and enterprise usage alongside broader time-to-value and deployment health metrics.

In this role youll work at the intersection of Product Finance Infrastructure and Post-Sales to ensure Gleans pricing and enterprise experience are grounded in clear trusted data.

You will:

Become a deep expert in Gleans product telemetry billing data and platform systems partnering closely with Product Finance and Infrastructure to self-serve insights
Develop and evolve metrics that capture enterprise readiness deployment health and time-to-value from initial rollout to sustained adoption
Drive deployment and infrastructure cost optimization by analyzing usage patterns workload drivers and scaling behavior across customers.
Partner with platform and infrastructure teams to model and optimize the economics of core systems such as connectors indexing and knowledge graph infrastructure ensuring margins scale sustainably with usage growth
Support pricing packaging and monetization decisions through thoughtful analysis of usage consumption and cost drivers
Improve observability and data quality for billing and enterprise-critical workflows identifying gaps and driving alignment across systems
Build analytics and models to support security and trust initiatives including threat detection abuse patterns and monitoring for enterprise-critical products
Analyze and improve the cost efficiency of compute-intensive workflows (eg: mining and indexing) identifying trade-offs between product value performance and unit economics.
Lead cross-functional data science projects end-to-end translating ambiguous problems into clear actionable insights
You will collaborate closely with Product Management Engineering Finance Billing Operations and GTM leadership to ensure Gleans pricing billing and enterprise readiness strategies are grounded in high-quality data and clear trusted metrics.

About you:

7 years of experience in a highly quantitative data science role with a degree in Statistics Mathematics Computer Science or a related field
Strong proficiency in SQL and Python and experience working with modern data stacks (e.g. dbt analytics engineering pipelines)
Experience analyzing nascent complex datasets and translating them into clear actionable insights
A strong product and business mindset with experience defining KPIs guardrail metrics and dashboards that influence decisions
Solid grounding in statistics including experimentation and non-experimental methods
Ability to independently own projects end-to-end from problem framing to delivery
Clear concise communication skills with the ability to explain complex analyses to both technical and non-technical audience
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 successfully delivering core initiatives.
You have experience working with collaborators across large time zone differences.

Location:

This role is hybrid (4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $175000 - $250000 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 youll 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. Were 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

Required Experience:

Staff IC

About Glean: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 acce...

About Glean:

About the Role:

In this role youll work at the intersection of Product Finance Infrastructure and Post-Sales to ensure Gleans pricing and enterprise experience are grounded in clear trusted data.

You will:

Become a deep expert in Gleans product telemetry billing data and platform systems partnering closely with Product Finance and Infrastructure to self-serve insights
Develop and evolve metrics that capture enterprise readiness deployment health and time-to-value from initial rollout to sustained adoption
Drive deployment and infrastructure cost optimization by analyzing usage patterns workload drivers and scaling behavior across customers.
Partner with platform and infrastructure teams to model and optimize the economics of core systems such as connectors indexing and knowledge graph infrastructure ensuring margins scale sustainably with usage growth
Support pricing packaging and monetization decisions through thoughtful analysis of usage consumption and cost drivers
Improve observability and data quality for billing and enterprise-critical workflows identifying gaps and driving alignment across systems
Build analytics and models to support security and trust initiatives including threat detection abuse patterns and monitoring for enterprise-critical products
Analyze and improve the cost efficiency of compute-intensive workflows (eg: mining and indexing) identifying trade-offs between product value performance and unit economics.
Lead cross-functional data science projects end-to-end translating ambiguous problems into clear actionable insights
You will collaborate closely with Product Management Engineering Finance Billing Operations and GTM leadership to ensure Gleans pricing billing and enterprise readiness strategies are grounded in high-quality data and clear trusted metrics.

About you:

7 years of experience in a highly quantitative data science role with a degree in Statistics Mathematics Computer Science or a related field
Strong proficiency in SQL and Python and experience working with modern data stacks (e.g. dbt analytics engineering pipelines)
Experience analyzing nascent complex datasets and translating them into clear actionable insights
A strong product and business mindset with experience defining KPIs guardrail metrics and dashboards that influence decisions
Solid grounding in statistics including experimentation and non-experimental methods
Ability to independently own projects end-to-end from problem framing to delivery
Clear concise communication skills with the ability to explain complex analyses to both technical and non-technical audience
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 successfully delivering core initiatives.
You have experience working with collaborators across large time zone differences.

Location:

This role is hybrid (4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

#LI-HYBRID

Required Experience:

Staff IC

Key Skills

Laboratory Experience
Bioinformatics
Biochemistry
Utility Locating
Assays
Research Experience
Next Generation Sequencing
Sensors
Signal Processing
Matlab
Research & Development
Molecular Biology

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About Company

Glean

Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more

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