What You’ll Do

At Typeface, we’ve believed from day one that AI should deeply understand your brand — not just generate content.

That conviction led us to build Brand Hub — a centralized system for ingesting brand guidelines, messaging, visual identity, and product information so AI could generate on-brand content at scale. 

That started evolving into the Arc Graph — a living, continuously learning intelligence layer that understands a company’s brand, products, audiences, performance history, claims, and feedback. It’s a dynamic intelligence layer that

• Understands brand identity, products, services, and claims
• Retrieves the right context automatically during creation
• Learns from performance and user behavior
• Powers every agent and every workflow across the platform
• Improves every output across Email, Ads, Web, Video, and Arc

We’re looking for a Sr. Staff Product Manager to lead the next chapter of this journey — scaling the Arc Graph into the strategic backbone of Typeface. 

How You’ll Make an Impact

• Product strategy for the Arc Graph: Define the long-term vision and roadmap for the intelligence layer that powers Typeface.
• Context ingestion and modeling: a structured, scalable system that captures brand identity, products, claims, audiences, and performance data.
• Retrieval and grounding: ensure the right context flows automatically into every creation experience — improving relevance, accuracy, and compliance.
• Learning and enrichment loops: Build the feedback systems that learn from user edits, content performance, and integrations — making the platform smarter over time.
• Cross-platform intelligence: Partner across Email, Ads, Web, Creative, and Video, to ensure the Context Graph improves every agent and workflow.
• Enterprise trust and governance: Define permissions, guardrails, and compliance systems that enterprise customers can rely on.

What You Bring

• Platform product leadership: 10+ years of product management experience, including ownership of platform or infrastructure-level products.
• AI-native thinking: Experience building AI/ML-powered products. You understand retrieval, grounding, and the tradeoffs of intelligent systems.
• Systems mindset: You think in data models, abstractions, and long-term architecture — not just features.
• Cross-functional influence: You’ve partnered closely with engineering, ML, and data teams. You align multiple product areas around a shared strategy.
• Enterprise product instincts: You understand governance, reliability, and trust requirements at scale.
• Staff-level scope: You define direction across teams, raise the quality bar, and operate with high autonomy.

Location
This is a hybrid role based in our Palo Alto HQ or Bellevue office. We collaborate in-office 3 days a week.

Base Salary

The range for this role is $195,000-$245,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.