We are looking for a mission-driven Product Group Lead to own Acquire, our core product. We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the Product Group Lead for Acquire, you will be accountable for everything Acquire: strategy, roadmap, execution, and business outcomes. Acquire turns our predictive models into the conversion signals that drive smarter bidding on Google, Meta, and other channels, which means you will be operating at the intersection of predictive modeling, ad platform mechanics, and the daily reality of performance marketing teams.
Reporting directly to the CTO, you will lead a group of three Product Managers, setting direction, raising the bar on product craft, and growing them as practitioners. This is a player-coach role: you will own the group's strategy and its people, while staying close enough to the product to make sharp calls on scope, model behavior, and customer trade-offs yourself.
A defining part of this role is your partnership with Operations. Today, a lot of what makes Acquire work is carried by our Operations team working alongside our AI engine. You will embed with them, understand their day-to-day in real detail, and productize it: turning manual and repetitive work into scalable, agent-driven capabilities so we can scale even further.
Requirements: Experience & Leadership: 6+ years in product management, including experience leading and developing other PMs. Able to set direction and raise the standard across a group while remaining hands-on where it matters, with strong cross-functional influence across Engineering, Data Science, Operations, and Sales.
Domain Expertise: Strong background in marketing technology, ad-tech, or growth/performance marketing products. Familiarity with paid acquisition, bidding, attribution, and measurement is a significant advantage.
AI & Predictive Products: Hands-on experience shipping products built on predictive models or machine learning, plus practical experience designing agentic and LLM-based workflows into real products. Comfortable discussing model quality, evaluation, and failure modes with data scientists.
Product Craft & Customer Orientation: Excellent judgment on prioritization and scope, strong analytical and data fluency, and the ability to reduce a complex, ambiguous space into a clear product direction. Credible and comfortable with both external customers and internal operational stakeholders.
This position is open to all candidates.