Unified Identity Securing Classic and AI Infrastructure
Teleport, the AI Infrastructure Identity Company, prepares organizations for an AI future by establishing a unified identity layer for infrastructure, with humans, machines, workloads, and AI agents secured cryptographically with a hardware root of trust rather than vulnerable credentials. By replacing fragmented identity and access management systems with Infrastructure Identity, Teleport scales zero trust across cloud and on-prem environments, eliminating the complexity and risk created by identity fragmentation and credential sprawl. Teleport protects infrastructure from identity attacks, accelerates engineering by reducing infrastructure complexity, and secures non-deterministic agentic workflows. Headquartered in Oakland, CA, Teleport operates globally, with industry-leading customers such as Nasdaq, IBM, Doordash, and Elastic.
Our Vision
Today's computing environments have too much complexity, too many network boundaries, and too little trust. Complexity slows engineers down and leads to human errors. Complex systems canât be secure despite the red tape of bureaucracy. We make trusted computing simple. This gives engineers the freedom to move and build a better future.
Why Teleport
Teleport addresses the overlooked intersection between cybersecurity and infrastructureâan area companies have historically tried to manage through a fragmented mix of tools like PAM, network-centric controls, and fragmented secrets management. This approach was already inefficient, but it fundamentally breaks down in the era of AI.
AI changes the landscape in three critical ways. First, non-human, machine, and AI identities now outnumber human ones, driving massive secrets sprawl while worsening anonymity. Second, anonymity is incompatible with AI workloads: these systems are inherently non-deterministic, operate across many services and environments, and therefore require strong identity, continuous trust, and end-to-end visibility to function safely and correctly. Third, the non-deterministic nature of AI makes reliability and scalability non-negotiableâsystems must be resilient, observable, and with access control guardrails, because failures and unexpected behavior cannot be handled with static controls or manual intervention.
Solving this problem requires a fundamentally different approach: a unified identity layer that spans machines, workloads, humans, and agents. Identity becomes the security control plane that replaces network location and long-lived secrets as the basis of trust. Ephemeral privileges are critical in this modelâprivileges must be granted just-in-time, limited to the task at hand, and automatically expire, dramatically reducing blast radius in systems where behavior cannot be fully predicted. Finally, real-time intelligence is essential: in fast-moving, AI-driven environments, access decisions must continuously adapt to context, behavior, and system state, rather than relying on static policies defined in advance.
Teleport addresses the growing gap between todayâs cyber and infrastructure security posture and what modern, AI-driven systems actually require. As AI systems proliferate, attack surfaces and pathways multiply, giving adversaries unprecedented leverage. The result is an inflection point: without re-anchoring security and infrastructure around identity, real-time trust, and ephemeral privileges, the volume and impact of security breaches will only accelerate.
U.S. Remote (West Coast Preferred)
Reporting Structure: VP, Product Marketing
Teleportâs Product Marketing organization is building a new capability at the intersection of AI systems, data analysis, and go-to-market strategy.
The ideal candidate has an engineering mindset, a passion for aligning and improving customer and prospect communication, and a strong understanding of modern AI models and tooling â and who can apply that expertise to unlock insight from Teleportâs rich data ecosystem. Youâll build workflows to analyze customer data, prospect conversations, competitive intelligence, and internal documentation to surface meaningful patterns and opportunities.
You will turn those insights into practical output, automation, and tools that help Teleport communicate more effectively with the market, improve how our teams operate, and identify areas where AI can meaningfully accelerate the company.
This is a highly visible, first-of-its-kind role for Product Marketing at Teleport â one that will help shape how AI is integrated into our go-to-market organization.
Teleport believes AI will fundamentally reshape how companies build software, operate infrastructure, and communicate with customers.
Teleport establishes a unified identity for humans, machines, workloads, and AI agents, reflecting our view that AI has become a core participant in modern infrastructure environments.
Within the go-to-market organization, we are equally committed to exploring how AI can transform the way teams learn from data, operate at scale, and communicate effectively to our community.
Success in this role will help unlock entirely new ways for Teleportâs marketing and field teams to operate â turning emerging technologies into practical systems that improve how we understand our customers and communicate our value.
Build workflows and tooling to analyze customer conversations, sales notes, support interactions, and usage data to identify patterns in customer needs and buying behavior.
Identify emerging themes in how prospects describe their problems and how they evaluate solutions.
Mine calls for common objections and questions, as well as messaging gaps or other opportunities to hone and clarify storytelling.
Use AI models to analyze how Teleport communicates across sales, marketing, and documentation.
Identify opportunities to improve clarity, positioning, and resonance with technical buyers.
Surface language patterns that resonate with prospects and help standardize effective messaging across teams.
Create repeatable processes that allow marketing and field teams to continuously learn from data.
Continuously explore Teleportâs internal data landscape to identify areas where AI can drive meaningful improvement.
Propose and test new systems that enhance marketing strategy, field enablement, or product storytelling.
Translate experimentation into practical tools and workflows that teams can rely on.
Partner with Product Marketing, Sales, Solutions Engineering, and Product teams to ensure insights translate into real-world impact.
Act as a bridge between technical AI capabilities and go-to-market execution.
Work with existing and evolving Product Growth teams and systems to identify meaningful insights that will inform sales and marketing content.
Experience working with modern AI models, APIs, and automation tools.
Familiarity with orchestration and workflow tools such as n8n, or similar frameworks.
Curiosity about how technical buyers evaluate infrastructure, security, and developer platforms.
Ability to translate technical experimentation into practical tools for non-technical teams.
Proven ability to work in highly dynamic environments where new technology changes are common.
An engineering background, with comfort coding solutions to new problems
Experience building systems that analyze large datasets and produce usable insights.
Comfort working with unstructured data including tr
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