
Staff Product Manager
Typeface · Palo Alto, CA
- On site
- Full-time
- $230,000 / year
- Palo Alto, CA
Email the hiring manager to get a response.
Get their verified email + an intro that's ready to send.
Subject: Interested in the Staff Product Manager role at Typeface
Hi Riley — I came across the Staff Product Manager opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Typeface stood out because…
✎ Personalized to your résumé after sign-up.
- ✓ Verified email of the hiring manager
- ✓ Intro email personalized to your résumé
- ✓ $9/mo = unlimited — any job link
Secure checkout · cancel anytime
Job highlights
- Lead AI product strategy and execution.
- Build innovative 0->1 AI solutions.
- Prioritize opportunities with data.
- Mentor product managers and influence strategy.
- Drive measurable business outcomes with AI.
About the role
Staff Product Manager AI
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.
- 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 Adobe, Microsoft, Google, 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).
Key skills/competency
- Product Management
- AI/ML Products
- Product Strategy
- Roadmap Development
- Cross-functional Leadership
- Customer Insights
- Data Analysis
- Enterprise Software
- Startup Environment
- AI Product Development
Skills & topics
- Staff Product Manager
- Product Management
- AI
- Machine Learning
- Product Strategy
- Roadmap
- Enterprise Marketing
- Startup
- Palo Alto
- Technology
How to get hired
- Tailor your resume: Highlight AI product experience and leadership skills.
- Showcase AI product impact: Quantify achievements in past roles.
- Understand Typeface's AI focus: Emphasize your vision for AI products.
- Prepare for hybrid work: Discuss your collaboration style.
- Research founders and investors: Show interest in Typeface's vision.
Technical preparation
Behavioral questions
Frequently asked questions
- What does a Staff Product Manager at Typeface do?
- As a Staff Product Manager at Typeface, you will lead large, ambiguous problem spaces, define product strategy, guide execution, and elevate AI product development. You'll collaborate closely with leadership, engineering, and design to build innovative solutions for enterprise marketers.
- What experience is required for the Staff Product Manager AI role at Typeface?
- The role requires 7-10+ years of product management experience, specifically with AI-native software or applications. You should have a proven track record of shipping AI products from concept to adoption and strong experience with AI/ML or data-intensive products.
- What is the work arrangement for this Staff Product Manager position at Typeface?
- This is a hybrid role based at Typeface's Palo Alto HQ, requiring collaboration in the office three days a week.
- What is the salary range for the Staff Product Manager AI role at Typeface?
- The base salary range for this position is $200,000 - $230,000 per year. Actual compensation will depend on factors like experience and skill level.
- How does Typeface support employee growth and development?
- Typeface offers mentorship and impact opportunities, allowing you to work closely with top AI leaders on impactful products. They also provide a collaborative environment with an A+ team from leading tech companies.
- What kind of AI products does Typeface focus on?
- Typeface focuses on marketing orchestration powered by Agentic AI, helping enterprise brands create personalized campaigns at scale. They are at the intersection of creativity and AI.
- What benefits does Typeface offer its employees?
- Typeface provides competitive compensation including salary and equity, comprehensive health insurance (medical, dental, vision), HSA/FSA options, flexible time off, parental leave, well-being programs, and daily lunch & snacks.
- How can I best prepare my application for the Staff Product Manager role at Typeface?
- To prepare your application, tailor your resume to highlight your AI product management experience and leadership capabilities. Emphasize your success in defining and shipping AI products, and demonstrate a strong understanding of AI/ML and data-intensive applications.
