A day in the life of…

• Leverage Data
• Builds Data Pipelines - Captures data that matters to our teams from both event-driven and relational database systems. Creates systems & automation of data pipelines. Pushes data into Intercom, fires Segment events. Updates Engagement Stats in database.
• Writing Data Queries - Writes data queries to support our teams.  Transforms data into useful shapes.  Writes assertions to test & prove data integrity.
• Setup & Maintain Data Platforms - Selects, configures, and maintains data platforms used in data pipelines (ie, data warehouse and/or customer data platform), with support from our engineering team.
• Data Visualization - Sets up self-serve views and visualizations for teams to leverage.
• Exploratory data analysis - Providing ad-hoc assistance to teams to help them answer critical questions.
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• ‍Surface Insights
• Measure Customer Value - Identify and measure indicators of customer value (both leading and lagging), identify users and accounts who are achieving success, and those who aren’t yet.
• Discover & Share Insights - Find customer journey bottlenecks and areas of improvement.  Present reports & insights throughout the company.
• Customer Issues - Identify patterns in customer issues and defects customers are experiencing, and provide summaries to product teams.
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• Team Efficiency
• Track Squad Progress - Track our squad effectiveness (ie, learning and delivery velocity, defect rates, etc). Track & report out on Release progress (ie, calculate velocity, create burn-up charts).
• Streamline Workflows - Improve our product workflows for feature development (ie, Notion data model, views, automations, etc.)
• Rapid Experimentation - Help design experiments with the product teams, beta customers, feature flags, failure metrics, and track experiment results.
• Automated Customer Recruitment - Use data to setup automated customer recruitment so the product teams can consistently gain qualitative insights.
• Attend and Participate in Meetings - Attend weekly one-on-ones with your supervisor, department level 10 with your team, and the all-hands with the whole company. Show up on time, come prepared with any topics that you would like to discuss, and participate in finding solves for issues that come up. 
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• Business Growth
• Surface Product Qualified Leads - Identifies customers who are likely ripe for sales opportunities and passes them to sales & marketing teams.
• Creates Funnels & Growth Loops - Identify and measure customer magic moments and behavioral loops that create growth opportunities for the business.
• Segmentation & Cohorts - Creates customer segmentation within the data using customer actions or identifiers and that can be used across many data views.

Expectations for your first 90 days:

• Gains a deep understanding of our Customers and Product by 30 days
• Presents recommendations to improve our data stack and starts implementation by 60 days
• Provides our product teams with better visibility into the customer journey with self-serve access by 90 days
• Prepares us for a PLG-led motion by 90+ days

Perks:

• Company Holidays
• Paid Time Off (in addition to the above)
• Monthly Healthcare Allowance
• Yearly Vacation Allowance
• Fun and outcome driven work environment with a smart, hard working team
• Location independence
• Mission driven company and values-based culture

Please only apply if you:

• Embrace learning new technology 
• Learn fast
• Communicate crisply
• Proactively seek solutions
• Own the outcome
• Embody emotional maturity
• Bring an optimistic “can do” attitude
• Supply your own internet and smartphone
• [0+ Experience in…]
• Have B2B SaaS experience (preferred)

Our Interview Process

• Fill out the application
• Answer questions via video questionaire to help use get to know you (15 minutes)
• Culture Conversation with a member from our People Operations team (30 minutes)
• Offline work sample test (up to 60 minutes)
• Interview with Hiring Manager (60 - 90 minutes)
• Possible panel interview (up to 60 minutes)
• Offer call (15 minutes)
• Written offer
• Start date commences a 90 day onboarding period