Data Science Lead - Remote

Overview

We’re a stealth-mode, AI-native startup reimagining how e-commerce brands connect with customers across the entire commerce lifecycle, starting with revenue recovery. Our first product is a white-glove recovery tool that transforms drop-off into conversions, unlocking precision, personalization, and zero-party data that informs everything from marketing to product development.

Backed by top-tier investors and operating with significant seed funding, we’re hiring our first wave of builders. We’re now looking for a Founding Data Science Lead to join our team and spearhead the design, experimentation, and optimization of our LLM-driven platform. You'll work closely with engineering and product leadership to shape the agentic workflows at the heart of our customer experience.

This is a rare opportunity for a hands-on data science leader to own the modeling strategy and experimentation culture of a company from day one.

In Short

• Own experimentation strategy for LLM-powered agents, designing and deploying pipelines for A/B testing, evals, and real-time feedback loops.
• Build and refine frameworks for analyzing AI trace behavior, surfacing model weaknesses, and iterating on improvements.
• Define key performance indicators (KPIs) that bridge product goals with AI behavior, including quality, latency, coverage, and conversion metrics.
• Collaborate with engineers and product leaders to shape how data is collected, structured, and leveraged across our systems.
• Make principled decisions around data context and grounding, helping optimize what information is passed to LLMs and why.
• Partner with domain experts and UX teams to translate customer feedback and human workflows into measurable improvements.
• Build dashboards and reporting tools that help the team monitor performance and prioritize areas of investment.
• Stay abreast of emerging LLM trends and AI evaluation research, and prototype new methodologies that can enhance product reliability and accuracy.
• Drive a culture of fast, rigorous experimentation while balancing scrappiness with statistical soundness.

Requirements

• A hands-on data science leader who loves solving open-ended problems with rigorous experimentation and strong intuition.
• You’ve worked with LLMs in production and have a deep understanding of their quirks, edge cases, and data needs.
• You have a strong grasp of how to build and tune eval systems for agents, prompts, and pipelines where ground truth is often fuzzy.
• You're comfortable with ambiguity, eager to work in fast-paced startup environments, and able to find signal in noisy, high-dimensional data.
• You have experience defining success metrics and building dashboards or analytics infrastructure that supports iterative learning.
• You’re a collaborative partner to engineering and product, with a clear point of view and a humble, pragmatic approach to decision-making.
• You understand trade-offs between statistical rigor and startup speed, and know when good-enough is good enough.
• You're excited to lead data science from day one and build systems, practices, and culture from the ground up.

Benefits

• Competitive salary + meaningful early-stage equity
• Title and leveling are flexible based on experience