Head of AI Product Management – AI Trust

Not specified Full-time Senior Product

Who we are

Digi Cert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered Digi Cert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose Digi Cert to stop today’s threats and prepare for a quantum-safe future at

Job summary

AI agents are moving from experimentation into production-accessing enterprise data, invoking tools, writing code, and acting on behalf of people and organizations. As they become more autonomous, enterprises need a new trust layer: one that establishes who an agent is, who owns it, what it is authorized to do, and how that authority can be revoked. Digi Cert is building that trust layer.

Digi Cert AI Trust Manager extends our foundation in digital identity and cryptographic trust to AI agents, models, and the agentic ecosystem-letting organizations discover AI assets, establish verifiable identities, govern access through policy, monitor activity, and revoke authority when trust conditions change. We are looking for a Head of AI Product Management to build this business from the ground up: an entrepreneurial leader who thrives in ambiguity, has taken emerging technology to scale, and can operate across AI, security, identity, and enterprise infrastructure.

You will define not only what we build, but the category we create around it.

What you will do

Build the product and category

• Own the vision, strategy, roadmap, and execution for Digi Cert’s AI Trust portfolio.
• Turn a fast-moving AI ecosystem into clear customer problems, product bets, and differentiated capabilities-including opportunities that have no established market category yet.
• Develop strong points of view on how identity, authorization, policy, provenance, attestation, and cryptographic trust must evolve for AI agents and models.

Scale

• Operate like a founder inside Digi Cert: 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.
• Know when to experiment, when to iterate, and when to scale-balancing speed with the security and reliability enterprise infrastructure demands.

Be deeply technical

• Know modern AI and agentic architectures-LLMs, agents, agent frameworks, MCP, model infrastructure, cloud environments, APIs, and enterprise AI platforms.
• Partner with engineering and architecture teams on product design and technical tradeoffs, moving easily from a CISO conversation to a whiteboard session with engineers.
• Know identity and security concepts-PKI, workload identity, authentication, authorization, policy enforcement, attestation, secrets and credentials, and zero trust. Digi Cert | Head of AI Product Management – AI Trust.
• You do not need to write production code, but you should be technical enough to prototype, evaluate architectures, challenge assumptions, and earn the trust of highly technical teams.

Build the business

• Partner with Sales, Marketing, Business Development, Customer Success, and Finance on positioning, packaging, pricing, and go-to-market.
• Use customer, usage, competitive, and financial data to make investment decisions.
• Identify strategic partnerships across the AI ecosystem-model providers, agent platforms, cloud providers, and security and identity vendors.
• Build the repeatable playbook that takes AI Trust from early adopters to enterprise-scale adoption.

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