Principal Technical Product Manager, AI Growth Systems

Pacaso is hiring a Principal Technical Product Manager to design and own an AI-powered system that guides customers across channels from initial interest through purchase and ownership. The role sets the system and agent behavior, customer intelligence, trust and reliability measures, and roadmap, while partnering with Engineering, Sales, and Marketing to deliver measurable growth outcomes.

Responsibilities:

• The system-level design. One design for new leads, dormant leads, and stalled buyers first, then owners who add a share, so the same person is served by one system instead of separate tools for each stage. You own the components, how they fit together, what the system decides and why, and the agent behavior and prompts. Engineering owns the technical design and implementation, and you shape and review it with them
• The customer intelligence layer. What the system knows about each customer across channels and how it acts on it: signals, shared memory and context, scoring, eligibility and frequency caps, and the next-best-action logic that decides what happens next
• Agent and workflow design. Which agents exist, what each one is allowed to decide, how they hand off to each other and to Sales, and the prompts, tools, and orchestration behind them
• Trust and reliability. Evaluation frameworks, guardrails, observability, cost and latency budgets, and kill switches, in place before anything reaches a customer
• The path to autonomy. What the system decides on its own, what still needs a person, and the evidence we need before we take that person out of the loop
• The roadmap. What gets built in what order, and why. You set priorities across the site, email, messaging, the CRM, and Sales handoffs, and work with Engineering on build-versus-buy decisions
• The outcome. Funnel velocity (time from first interest to high intent, and to purchase) and the measured lift in qualified actions and closed sales

Requirements:

• Customer obsession. You take customer insights and translate them into real product features that deliver results
• A production agentic system. You've designed and shipped an autonomous or agentic system that runs end to end with minimal human intervention. You can show us what it decides on its own and how you knew it was making the right calls before you trusted it with real customers
• A measurable growth outcome. You've owned a growth, conversion, lifecycle, or re-engagement result. You can give us the baseline, what you changed, the lift, the time frame, and how you knew your work caused it
• Decisioning and intelligence layers. You've designed signals, identity, scoring, context, eligibility and caps, or next-best-action logic
• Prototype to production. You've built working prototypes yourself with AI tooling, beyond specs and slides, and taken at least one to production with engineers. You can tell us what you owned and what they owned
• Cross-team system design. You've owned the system-level design for a product that multiple teams built on or integrated with, and shaped the technical design with the engineers who owned it
• Experience with long-consideration, high-value purchases such as real estate, luxury, or financial services
• Experience putting AI into a human sales team's workflow, including CRM integration
• An earlier career as a software engineer, data architect, or solutions architect