Build the product and category

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—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.

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.

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. DigiCert | 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.

Senior DevOps Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Digicert

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