About the Role
Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes.
Responsibilities
- Own customer paid onboarding end to end: connect ad accounts, MMPs, GA4, and attribution stacks to Hilbert, and turn messy measurement configurations into clean, consistent signal.
- Work directly with customers on their toughest paid media problems and own the outcome.
- Drive Hilbert's channel activation layer: define and ship the use cases for sending Hilbert's model outputs back into Meta, Google, and other platforms as conversion events, value signals, and audiences.
- Set paid media strategy for customer accounts: turning Hilbert's predictive outputs into concrete budget allocation and growth interventions.
- Build Hilbert's internal performance marketing playbooks and systems.
Requirements
- Genuinely accountable for paid performance, thinking across the entire paid ecosystem and close enough to the machinery to build with it.
- Owned paid growth outcomes, not just campaign execution.
- Made strategy and budget decisions while staying hands-on enough to understand the mechanics behind the results.
- Managed integrated, multi-channel paid programs across Meta, Google, TikTok, Snapchat, and other major platforms simultaneously.
- Deep understanding of modern measurement: MMPs, attribution modeling, SKAdNetwork, incrementally testing, and extracting reliable signals.
- Technical enough to build, not just advise; implemented CAPI, offline conversion imports, server-side tracking, or MMP integrations.
- Comfortable reading API documentation.
- Understand why optimizing Meta on predicted LTV consistently outperforms optimizing on raw purchase events.
- Fluent in GA4, platform-native analytics, and attribution tools.
- Know how to combine multiple imperfect data sources into a coherent view of performance.
- Inherited growth problems that weren't already solved and been responsible for turning them around.
- Naturally approach growth through experimentation.
- Let data reveal structure instead of forcing assumptions onto it.
- Excited to work alongside AI systems while knowing where human judgment creates the greatest leverage.
- Can explain failures with the same level of rigor as successes.
- More interested in understanding why something happened than in making work look impressive.
- Believe the industry's approach to performance marketing is fundamentally broken and want to help build what comes next.
Skills
- Paid media
- Meta
- TikTok
- Snapchat
- MMPs (AppsFlyer, Adjust, Branch)
- GA4
- Attribution modeling
- SKAdNetwork
- Incremental testing
- CAPI
- Offline conversion imports
- Server-side tracking
- API documentation
- Experimentation
- Data analysis
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- Commensurate with experience
Salary/Compensations
- Competitive base and equity
About the Company
- Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth.
- From Fortune 10 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert.
- We're also co-building alongside leading AI companies.
