Staff Product Manager

Typeface•Palo Alto, CA

19h•$200,000 - $230,000•Hybrid

About The Position

About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You’ll Do As a Staff Product Manager, you’ll operate as a product leader—owning large, ambiguous problem spaces that cut across teams and systems. You’ll define strategy, guide execution, and elevate how we build AI products. You’ll work closely with leadership, engineering, and design to ensure we’re building the right products—and building them the right way. We are looking for someone who enjoys the fast-paced startup life, can envision an AI and future-first product roadmap, drive results, is a team player and very customer-oriented.

Requirements

7–10+ years of product management experience, including experience building AI-native software or application.
Experience having defined and shipped a new AI product capability from concept through adoption.
Strong experience working on AI/ML or data-intensive products
Proven ability to lead large, ambiguous initiatives with cross-functional impact
Deep understanding of product strategy, prioritization, and trade-offs
Strong analytical skills and experience defining and interpreting product and model metrics
Ability to collaborate deeply with engineers and data scientists on complex systems
Excellent communication and leadership skills
Track record of driving measurable business outcomes through product decisions

Responsibilities

Define and drive product strategy across major product areas or company-level initiatives
Work closely with engineering, design and other product teams to build innovative 0 -> 1 solutions for the enterprise marketers and creators.
Identify and prioritize high-impact opportunities using customer insights, data, and model capabilities
Partner deeply with engineering and data science to shape how AI systems are built, evaluated, and improved
Drive alignment across teams, ensuring cohesive product direction and execution
Establish best practices for building AI products (experimentation, evaluation, feedback loops, etc.)
Mentor and support other product managers, raising the overall quality of product thinking
Influence company strategy and contribute to key business decisions