Substack is building a new economic engine for culture, giving the brightest, most interesting, and most creative people on the internet the power of their own publishing platform. The terms of our culture should not be set by gate-keeping legacy media or chaos-fueling social media, but by the people who make and participate in that culture. Substack’s model, based on direct subscriptions, has fueled an explosion of independent publishing. It empowers creators with economic autonomy, creative ownership, and a direct connection to their most engaged audiences.
Product Analytics at Substack
The mission of the Product Analytics team at Substack is to help the product team make better decisions. Product Analytics is embedded in the Product organization, and this role reports directly to our VP of Product. We are a small and scrappy team that covers a lot of ground. You would be joining as the third individual on the team.
Responsibilities
- Take ownership of continuously improving our understanding of the product, user base, growth trajectory, and state of play
- Proactively partner with PMs and company leadership to inform the long term, medium term, and short term strategy of your product area
- Help the team define useful metrics and set clear goals
- Share regular insightful updates with your team and across the company
- Proactively partner with engineers to invest in clean and thorough logging, ETL, and improving the ergonomics of our data
Requirements
- Solid understanding of product growth concepts and frameworks (e.g. retention curves, cohort analysis, growth accounting)
- Advanced SQL knowledge, and familiarity with BI tools (we use Snowflake and Periscope every day)
- Strong data visualization and written/verbal communication skills — must be able to design legible dashboards dashboards and clearly convey the salient insights for any analysis
- Solid understanding of A/B test and experimentation concepts (proper test design, power calculation, post-hoc analysis, novelty effects, etc.)
- Strong product sense and intuition — a deep understanding of Substack’s product, user base, and market position is a must
- Ability to roll up your sleeves and do what needs to be done with limited resources and support
This position will ideally be located in the San Francisco Bay Area, where the majority of the product and leadership team are based. Substack’s compensation package includes a market competitive salary, equity for all full time roles, and exceptional benefits. Our cash compensation salary range for this role is $150,000 - $210,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Substack is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity or transgender status), age, national origin, veteran or disability status. We’re seeking people passionate about enabling independent expression and building a better business model for creators. If you want to see what media, communities, and content can become when unmoored from advertising models, and you have the skills and experience to contribute, we’d love to meet you.
Please see our Privacy Notice for details regarding Substack's collection and use of personal information relating to the application and recruitment process by clicking here.
Top Skills
Substack San Francisco, California, USA Office
111 Sutter St, San Francisco, CA, United States, 94104
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine