Sr. Staff Product Manager-Arc Graph

Typeface•Palo Alto, CA

4d•$195,000 - $245,000•Hybrid

About The Position

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.

Requirements

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.

Responsibilities

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.