Senior Data Scientist, Product Intelligence

As a Senior Data Scientist for Product Intelligence, you will architect the analytical foundation for how fal builds and grows. Your domain spans the entirety of the developer journey-from initial acquisition to long-term expansion. You will turn raw behavioral and system signals into the metrics and insights that shape our product roadmap and go-to-market strategy.

This is a high-influence role where you will act as a strategic partner to Product, Engineering, and Marketing. Beyond domain-specific analysis, you will share ownership of the foundational data systems, standards, and experimentation frameworks that serve as the source of truth for the entire company.

What you'll do

• Architect the metrics that define user success on fal and build the measurement systems to track activation, retention, and time-to-value across both our self-serve and B2B pipelines.
• Develop a deep, causal understanding of how customers discover, adopt, and grow on the platform to identify key expansion levers and acquisition opportunities.
• Own the instrumentation standards and data contracts that serve as the source of truth for product telemetry and core behavioral schemas.
• Surface insights through rigorous deep-dives and experimentation to influence product direction, pricing models, and go-to-market initiatives.
• Develop scalable data products including automated experimentation frameworks and canonical schemas that enable teams to self-serve and move faster.

What we are looking for

• 5+ years of experience in data science or analytics roles-ideally with API products, developer tools, or B2B SaaS platforms
• Advanced-level SQL and proficiency in Python for analytics, modeling, and experimentation
• Strong proficiency with dbt and orchestration tools like Dagster or Airflow for production pipeline
• Proven ability to work across teams to influence product roadmap and strategy
• Experience establishing data quality and governance practices, including lineage, testing, and documentation.
• Demonstrated bias for action and the ability to thrive in fast-moving, ambiguous environments.
• A track record of shipping data products or features, not just dashboards. You think like a Product Manager and build like an Engineer

Nice-to-haves

• Experience working on developer-facing products or platforms.
• Exposure to infrastructure, performance, or cost-related data (e.g., cloud usage, compute efficiency).
• Experience operating in early-stage or fast-scaling environments.
• Interest or experience in architecting data systems designed for agentic consumption and AI-driven product workflow

Compensation

• $190,000 - $230,000 + equity + comprehensive benefits package

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• We offer visa sponsorship and will help you relocate to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsites