Principal AI Product Architect - Remote, Equity

Zim Directory; United States; Remote; USD 187,000 - 253,000; Full time

Benefits offered by this job

Equity participation

Premium medical, dental, and vision

401(k) plan

Home office stipend

Job summary

Pacaso is seeking a principal-level technical product IC to architect a unified customer system spanning leads, dormant leads, buyers, and owners. You’ll define identity, signals, scoring, and next-best-action logic, then build prototypes with AI tooling and guide Engineering and Data to production.

You’ll own the architecture, agent design, and governance that enable a single, continuous customer experience across channels, while balancing automation with human oversight.

Qualifications

• Customer obsession focused on user experience across channels and outcomes.
• Prototype and prototype-to-production capabilities with AI tooling.
• Experience designing autonomous/agentic systems and measuring impact.
• Ability to define signals, identity, scoring, and next-best-action logic.
• Proven capability to guide architecture decisions used by multiple teams.
• Strong collaboration with Sales, Marketing, and leadership for buyer journeys.

Responsibilities

• Architect the customer system across leads, dormant leads, buyers, and owners to unify experience.
• Design the customer intelligence layer including identity, signals, scoring, and context.
• Define agents, prompts, tools, and orchestration for AI-driven workflows.
• Ensure reliability with guardrails, observability, and cost/latency budgets.
• Determine what system can run autonomously and what needs human input.
• Set technical direction across teams and establish data contracts and integration standards.

Skills

Customer obsession

Agentic system

Measurable growth

Decisioning layer

Prototype to production

Architecture on multiple teams

Job description

Pacaso is seeking a principal-level technical product IC to architect a unified customer system spanning leads, dormant leads, buyers, and owners. You’ll define identity, signals, scoring, and next-best-action logic, then build prototypes with AI tooling and guide Engineering and Data to production.

You’ll own the architecture, agent design, and governance that enable a single, continuous customer experience across channels, while balancing automation with human oversight.