Ex Meta Founders | Building an AI-native customer intelligence platform | Founding Role
After helping this team make key early hires, Ghost is once again partnering with a high-profile AI startup on a mission to reinvent how companies understand — and act on — customer behavior.
This isn’t another analytics dashboard.
This platform installs in minutes and thinks for itself — uncovering hidden behavioral patterns, prioritizing product issues, and proactively driving improvements by generating A/B tests and even opening PRs.
In short: it’s a self-optimizing feedback loop for your product.
Why should you apply?
You’d be joining a founding team of ex-Big Tech and high-growth startup leaders who have:
- Scaled systems across tens of thousands of machines
- Shipped #1 customer-requested features at lightning speed
- Built and monetized products from $0 → $1B ARR
They’ve already raised $2.4M, with the next round targeting $5–10M — and they’re building something truly category-defining: an autonomous intelligence layer that helps software evolve itself.
The Role: Founding Senior Data Scientist / Product Analytics Lead
We’re searching for a hands-on, product-minded Data Scientist who wants to shape the future of intelligent systems.
This isn’t a back-office reporting role — you’ll design the measurement engine that powers real-time product decisions.
You’ll:
- Build and deploy analytics frameworks adopted by product and growth teams
- Design experiments (A/B, diff-in-diff, matched markets) that drive measurable impact
- Collaborate deeply with engineering and product to influence direction
- Work directly with LLMs on evaluation, measurement, and feedback loops
- Translate complex data into clear, executive-level insights
What You Bring
- Minimum of 5+ years in product analytics or data science (high-growth tech, ideally B2B SaaS)
- PHD in Applied Mathematics, Physics or any other relevant field
- Advanced Python & SQL skills (pandas, NumPy, StatsModels, Scikit-learn)
- Deep expertise in causal inference, sampling, and experimentation design
- Real LLM experience — prompt engineering, embeddings, hallucination risk evaluation
- Strong communicator who can simplify complexity and tell a data-driven story
- True product intuition — you’ve moved real metrics like retention, conversion, or churn
Tech Stack
Python · SQL · pandas · NumPy · Scikit-learn · BigQuery · Snowflake · LLMs · Gemini
Compensation & Benefits
$200K – $250K base + up to 3% equity
Health insurance and catered lunch
1 WFH day per week (San Francisco-based)
Values
They obsess over customers — diving deep to understand real workflows, pain points, and what truly drives impact.
They work like it’s a marathon — pushing hard with intensity and purpose, but never at the expense of sustainability.
They’re detail-driven where it counts — sweating the critical details while moving fast on everything else.
They live in the future — building for the next generation of AI-native companies and operating one step ahead of them.
If the idea of AI that learns from the real world excites you — and you want to help architect software that improves itself — this is your chance to build at the frontier.
Quote of the day:
“Great engineers ship features. Great data scientists teach software to think.” 👻
