Jobs / United States / Digicert INC
Head of AI Product Management - AI Trust
Digicert INC · 🇺🇸 US CA Sunnyvale
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 4 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. USCIS also records 5 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Digicert INC
The US Department of Labor certified 4 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. USCIS also records 5 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Digicert INC →
About the role
Who we are DigiCert 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 DigiCert 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 DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com 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. DigiCert is building that trust layer. DigiCert 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 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. Scale • 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. 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. Lead through influence—and build the team • Create clarity in