Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Experience Requirements:

• 3 - 7 years in a similar role within an international / B2B SaaS company

• Proven experience in Enterprise Customer Success, including track record of attaining targets

• Proficiency with tooling such as CRM software, Slack, Zendesk, Metabase, Glean

• Excellent communication skills, both written and verbal, with the ability to effectively interact with customers and internal stakeholders

• Familiarity with Value Selling and ability to do deep discovery with customers

Other Requirements:

• Detail-oriented mindset with a focus on continuous improvement and operational excellence

• Live into our company values: Make it Better, Make it Together, Make it Customer Driven

• Ability to travel periodically and be in the office regularly

Responsibilities:

• Relationship Management

• Onboarding and Adoption

• Account Growth and Expansion

• Performance Tracking

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Experience Requirements:

• 5-7 years+ in a similar role within a B2B SaaS company.

• Proven experience working with larger enterprise customers, including a track record of attaining and exceeding targets

• Interest in generative AI for knowledge workers at Enterprise scale

• Proficiency with tooling such as CRM software, Slack, Zendesk, Metabase, Glean

• Excellent communication skills, both written and verbal, with the ability to effectively interact with customers and internal stakeholders

Other Requirements:

• Familiarity with Value Selling and ability to do deep discovery with customers

• Demonstrated project management experience, including planning, execution, and stakeholder management

• Detail-oriented mindset with a focus on continuous improvement and operational excellence. Curiosity and grit.

• Live into our company values: Make it Better, Make it Together, Make it Customer Driven, and Make it Happen

• Ability to travel periodically and be in the office regularly

Responsibilities:

• Relationship Management

• Onboarding and Adoption

• Account Growth, Expansion, and Risk

• Performance Tracking

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field

Experience Requirements:

• 8+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 6 years.

• 1+ years of management experience

Other Requirements:

• 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.

Responsibilities:

• 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.

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field

Experience Requirements:

• 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.

Other Requirements:

• 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.

Responsibilities:

• 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.

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field

Experience Requirements:

• 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.

Other Requirements:

• 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.

Responsibilities:

• 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.

Benefits:

• Competitive compensation

• Healthcare

• Flexible work environment

• 401k

• Flexible work environment and time-off policy

Experience Requirements:

• 8+ years prior generalist product design experience in an organization that has shipped software to users, working closely with product, engineering, and product marketing teammates to develop strategy and rationale for features.

• Experience and genuine interest in AI tools.

• Experience designing for B2B product

• Ability to design polished, high-fidelity mockups and interactive prototypes of your solutions in design tools like Figma.

• Ability to understand technical concepts (bonus if you have working knowledge of code, APIs, databases)

Other Requirements:

• Experience collaborating with different disciplines and incorporating feedback into your work.

• Strong written, verbal, and storytelling skills to help people across the company understand the rationale behind your designs.

• Thrive in ambiguity and can independently prioritize work based on user needs and business goals, and take responsibility to drive product ideas forward

• Ability to think systematically about problems given tradeoffs and constraints, and go deep on details through continual rapid iteration.

• A learning and growth mindset with an ability to self-start on problems, a willingness to own problems, and a desire to make things better.

Responsibilities:

• Own and drive the complete product design lifecycle of major features from end to end, doing user research or partnering with others to understand customer needs and translating those insights into products and features that solve real problems for knowledge workers in organizations.

• Prototype ideas quickly to assess viability, design detailed flows and interactions to turn your features into a reality, and partner closely with engineers to build, iterate on, and ship those ideas.

• Produce whatever artifacts are needed - specs, sketches, wireframes, mocks, prototypes, etc. to take UI ideas into production.

• Contribute to Glean’s design system and component library

• Contribute to design team processes and share work regularly with designers, cross-functional teams, leadership, and the company

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• BA/BS in computer science, or related degree

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Own impactful infrastructure problems from inception and architecture to production launch

• Write well thought out design documents and robust, high-quality and well-tested code

• Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap

• Mentor more junior engineers or learn from battle tested ones

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• BA/BS in computer science, or related degree

Experience Requirements:

• Experience with a highly polished consumer grade React.js app, or 4+ with any web app

Responsibilities:

• Build delightful user interfaces with React.js in collaboration with stellar product designers and backend engineers

• Oversee the entirety of your features from inception to launch and beyond

• Write robust code that’s easy to read, maintain and test

• Push the boundaries of platform constraints to integrate an instant Glean experience into every workflow

• Mentor more junior engineers or learn from battle tested ones

Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• BA/BS in computer science, or related degree

Experience Requirements:

• Experience of building and shipping scalable features across frontend and backend

Responsibilities:

• Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond

• Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions

• Architect REST APIs that are backed by stable, scalable server side implementations and maximize web client flexibility for rapidly meeting evolving product requirements

• Write robust code that’s efficient, easy to read, maintain and test

• Mentor more junior engineers or learn from battle tested ones

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 3+ years of experience in building scalable ML infrastructure from the ground up

Other Requirements:

• Familiar with Kubernetes and Python

• Familiar with Apache Kafka and Spark

Responsibilities:

• Building scalable ML infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Education Requirements:

• Bachelor's degree

Experience Requirements:

• Experienced in flutter

• Adheres strictly to test-driven-development principles

Other Requirements:

• Familiar with Flutter and Python

Responsibilities:

• Implementing CHAI Web App

• Developing features for retention and monetization

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 6+ years of experience in backend engineering

Other Requirements:

• Familiar with Kubernetes and Python

Responsibilities:

• Building scalable infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Experience Requirements:

• Track record of making money

Other Requirements:

• Goal-oriented

• Comfortable learning on the job

Responsibilities:

• Running, optimizing, and improving revenue generation strategy

Benefits:

• Equity

Experience Requirements:

• Established track-record of delivering results

• Deep understanding of the ML development cycle

Other Requirements:

• Proficient in Python, Tensorflow or PyTorch

• Goal-oriented

Responsibilities:

• Running, optimizing, and improving AI platform

• Improving platform-wide retention

Benefits:

• Equity

Experience Requirements:

• Experienced in scaling small teams

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Reporting to CEO

• Solving operational problems

• Running hiring processes