Head of AI Product Management - AI Trust
US CA Sunnyvale · Sunnyvale · USD 180,000-240,000 · Posted Oct 8, 2026
At a glance
- Location
- US CA Sunnyvale · Sunnyvale
- Salary
- USD 180,000-240,000 · Base salary
About the role
- DigiCert is looking for a Head of AI Product Management to build its AI Trust business from the ground up.
- You will define the product vision, strategy, roadmap, and execution for DigiCert's AI Trust portfolio, extending cryptographic trust to AI agents, models, and the agentic ecosystem.
Responsibilities
- Own the vision, strategy, roadmap, and execution for DigiCert’s AI Trust portfolio.
- Turn a fast-moving AI ecosystem into clear customer problems, product bets, and differentiated capabilities.
- Develop strong points of view on how identity, authorization, policy, provenance, attestation, and cryptographic trust must evolve for AI agents and models.
- Operate like a founder inside DigiCert: move quickly from customer problem to hypothesis, prototype, validation, and repeatable offering.
- Engage design partners and early customers directly to understand their AI architectures, security challenges, and buying criteria.
- Partner with engineering and architecture teams on product design and technical tradeoffs, moving easily from a CISO conversation to a whiteboard session with engineers.
- Partner with Sales, Marketing, Business Development, Customer Success, and Finance on positioning, packaging, pricing, and go-to-market.
- Identify strategic partnerships across the AI ecosystem—model providers, agent platforms, cloud providers, and security and identity vendors.
- Create clarity in a fast-moving market, aligning engineering, design, security, GTM, and executive stakeholders around a focused set of priorities.
- Recruit, develop, and lead a world-class AI product management organization as the business grows.
Requirements
- A track record of taking technically complex products from 0 to 1, ideally followed by scaling them in the market.
- Product leadership experience in AI/ML, cybersecurity, identity, cloud infrastructure, developer platforms, data infrastructure, or adjacent enterprise technologies.
- Technical fluency to engage deeply with engineers, architects, security practitioners, and AI developers, plus genuine curiosity about where agentic AI is headed.
- Exceptional customer instincts.
- Commercial orientation including enterprise GTM, pricing, packaging, partnerships, and business metrics.
- An entrepreneurial mindset, comfortable with incomplete information and limited precedent.
- Strong written and verbal communication, and experience recruiting and developing exceptional product talent.
Benefits
- Competitive compensation and comprehensive health, dental, and vision coverage
- Retirement savings programs with company matching (401(k) or RRSP)
- Generous paid time off, including holidays, and vacation
- Paid parental leave and family support benefits
- Life and disability coverage
- Flexible spending and health savings options
- Health and wellness support, including gym reimbursement and wellness programs
- Employee Assistance Program with 24/7 confidential support for employees and families
- Education assistance and professional development opportunities
- Access to LinkedIn Learning and continuous learning resources
Skills
- LLMs
- MCP
- APIs
- PKI
- Workload Identity
- Authentication
- Authorization
- Policy Enforcement
- Attestation
- Zero Trust
- Cryptography