About the role
About Typeface
We help 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.
How You’ll Make an Impact
- 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
What You Bring
- 7–10+ years of product management experience, including experience building AI-native software or application.
- Bachelor’s or Master's degree in engineering, computer science, business or a related field.
- 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
Location
This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.
Base Salary
The range for this role is $200,000-$230,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
Benefits
- Competitive compensation — including salary, equity, and 401(k)
- Full medical, dental, and vision insurance for you and your family
- HSA and FSA options to support your financial wellness
- Flexible time off — including parental leave
- Well-being programs — resources to support your mental and physical health
- Daily lunch & snacks
- Mentorship & impact — work closely with top AI leaders on products that ship
Equality Opportunity Statement
We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate.
Why You’ll Love Working Here
- Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.
- Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.
- A+ team — Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies.
- Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised).
- Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).