Senior Product Analyst
About The Position
As a Senior Product Analyst, you will be instrumental in shaping the future of our AI-first product strategy. You'll uncover and share critical insights that directly influence our product roadmap and drive our evolution toward intelligent, predictive experiences for small business owners. Working at the intersection of data science, product strategy, and AI development, you will partner cross-functionally with leaders from Product, Design, Engineering, Analytics Engineering, Data Engineering, and the Go-to-Market team to build the analytical foundation that powers our next generation of products. Your work will be essential in helping us understand how to leverage AI to create more intuitive, efficient, and valuable experiences for our customers. You must be commutable to our NYC headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
Requirements
- 4+ years of experience in a highly analytical role, 2+ years in a product analytics role, ideally at a fast-growing SaaS or consumer-facing technology company
- Advanced proficiency in SQL and comfort working with complex datasets
- Functional programming experience (Python or similar) and some exposure to machine learning toolkits and concepts (random forest models, train-test splitting, etc.)
- Demonstrated ability to translate ambiguous product questions into concrete analytical frameworks, especially for novel features like AI-powered experiences
- A self-starter with exceptional communication skills who can tell compelling stories with data and influence product strategy at all levels
- Excitement about working at the forefront of AI-first product development in a high-paced, fast-changing startup environment
- Proficiency working with event data, dbt, Looker or similar data visualization tools, and solid statistical fundamentals (A/B testing, regression, causal inference)
- Intellectual curiosity about AI/ML applications in product and eagerness to learn how to measure and optimize AI-driven experiences
Nice To Haves
- Familiarity with best-in-class product analytics tech stacks, including Mixpanel and Segment (or similar tools) is a plus
- Experience working with AI/ML teams or analyzing ML model performance in production is a plus
Responsibilities
- Define, analyze, and evangelize KPIs that measure both traditional product health and the effectiveness of AI-powered features across your product area
- Build analytical frameworks that help product teams make data-informed decisions about AI feature development, including measuring model performance impact on user behavior and business outcomes
- Design and analyze sophisticated experiments (A/B tests, multivariate tests) that evaluate AI-driven features and their impact on customer experience and business metrics
- Identify high-impact opportunities where AI and machine learning can meaningfully improve customer experience, drive conversion, increase retention, and maximize lifetime value—combining quantitative insights with deep qualitative customer understanding
- Serve as a strategic thought partner to Senior & Staff Product, Engineering, Design, and AI/ML stakeholders in building products that are both intelligent and delightful
- Develop core data models, reporting, and dashboards that surface insights about user behavior patterns, feature adoption, and product performance
- Champion a culture of experimentation and learning, helping teams rapidly test hypotheses and iterate on AI-powered product experiences
- Partner with Data Engineering, AI/ML teams, and peer Analytics teams to implement best-in-class analytical frameworks, data infrastructure, and testing structures that scale across the organization
Benefits
- Flexible PTO
- Competitive health & dental insurance options, with premiums partially or fully covered by GG
- Fertility and adoption benefits via Carrot
- Generous, fully-paid parental leave policy
- 401k benefit - employees are eligible to contribute starting day 1 of employment
- Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
- Pre-tax commuter benefits
- Dependent Care FSA
- Home office support
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
