Digicert Senior Solutions Engineer at DigiCert leads product management for AI Trust portfolio, focusing on identity and security for AI agents. The role requires deep technical knowledge of AI architectures and security concepts.
Responsibilities
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.
Qualification
Prior forward-deployedHands-on with AgentforceExposure to SOXExperience in a security or PKI company
Preferred
Prior forward-deployed, solutions architect, or embedded consulting experience.
Hands-on with Agentforce, Copilot Studio, AWS Bedrock, Anthropic or OpenAI APIs, or MCP-based tool integration.
Experience with intelligent automation or workflow platforms (Power Automate, Workato, n8n, UiPath).
Exposure to SOX, FedRAMP, or similar control environments.
Experience in a security or PKI company, or another business where trust is the product.
