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 can’t 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 infrastructure—an 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-negotiable—systems 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 model—privileges 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 today’s 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. The Role ------------ We’re hiring a GTM Engineer to join our Demand Generation team and help build the systems that generate pipeline. This role sits within our GTM Engineering function—a center of excellence embedded inside Demand Gen that helps every team member leverage AI and automation in their day-to-day work. This is not a marketing operations role. It’s a pipeline generation role with an engineering mindset. You’ll spend most of your time building and optimizing digital advertising campaigns across LinkedIn, Meta, Reddit, X, and Google—using AI tools like Claude and Clay to orchestrate targeting, creative iteration, and performance optimization at a pace that manual workflows can’t match. You’ll also build and maintain projects across the broader demand gen org: events, social media, content generation, and more. But your primary lens is always pipeline. Every system you build, every workflow you automate, every experiment you run should tie back to generating and accelerating qualified pipeline. Equally important: you’ll be a teacher and enabler. Our GTM Engineering model doesn’t hoard expertise—it distributes it. You’ll help teammates build and refine their own AI-powered projects, raise the technical floor across the team, and make sure every demand gen team member develops real GTM engineering skills. You report to the Manager of GTM Engineering. What You’ll Do - Digital Advertising (Primary Focus) Build, manage, and optimize paid campaigns across LinkedIn, Meta, Reddit, X, and Google Ads with a focus on pipeline outcomes—not vanity metrics Use AI tooling (Claude, Clay) to automate audience building, creative variation, bid optimization, and performance analysis Design and run structured experiments across channels, creatives, audiences, and landing pages—with clear hypotheses and measurable outcomes Own reporting on ad spend efficiency, pipeline attribution, and conversion metrics; surface insights that change strategy, not just confirm it Monitor platform changes, new ad formats, and algorithm shifts; adapt campaigns proactively rather than reactively

Broader Demand Gen Projects Build AI-powered workflows that support events, content generation, social media, and nurture programs Create systems that connect campaign data, enrichment signals, and CRM to improve targeting and personalization across channels Automate repeatable processes across the demand gen function—eliminating manual work while maintaining quality and control Collaborate with teammates across field marketing, content, partner marketing, and sales enablement to deliver projects that serve the full pipeline
Teaching and Enablement Help demand gen teammates build, troubleshoot, and improve their own AI-powered projects—working alongside them, not just for them Contribute reusable templates, prompts, and workflows that raise the team’s technical capabilities over time Share what’s working (and what isn’t) openly; build a culture where the whole team gets better at GTM engineering, not just the GTM engineers What We’re Looking For - 3–6 years in demand generation, growth marketing, or digital advertising in a B2B SaaS environment Hands-on experience managing paid campaigns across at least two of: LinkedIn, Meta, Google, Reddit, or X—with a clear understanding of how each platform’s mechanics translate to pipeline Demonstrated use of AI tools (Clay, Zapier, Claude Code, or similar) to automate marketing workflows—not just prompting, but building real systems Comfort with APIs, webhooks, and data integration tools; you can connect systems without waiting for engineering Strong analytical instincts: you can read a funnel, diagnose a conversion problem, and design an experiment to fix it A marketing brain, not just a technical one. You understand why campaigns work, not just how to build them. You can reject a bad idea as effectively as you can implement a good one Track record of contributing to pipeline—not just activity metrics. You think in terms of qualified opportunities, not clicks What Sets You Apart - You’ve been the person on a marketing team who built the thing no one else knew how to build—and then showed others how to use it You’ve managed meaningful ad budgets and made hard calls about where to cut spend and where to double down You’re skeptical of tinkering for its own sake. You’ve seen the difference between building something clever and building something that moves pipeline Experience with infrastructure, security, or developer-focused products is a strong plus—you’ll need to understand our buyer to market to them Familiarity with tools in our stack: Salesforce, Marketo, Outreach, 6sense, Clay, Google Analytics Experience with workflow automation platforms (n8n, Zapier, Make, or similar) to build multi-step integrations across marketing and sales tools without engineering support Familiarity with ad reporting and BI tools like funnel.io or Looker to build and maintain cross-platform spend and performance dashboards A Note on This Role We’ve learned a lot about what makes a great GTM Engineer since we first created this role. The biggest lesson: marketing judgment matters more than technical novelty. There are plenty of people who like to tinker. We need someone who understands the marketing problem first and builds the right solution second—someone who can look at a request and say “we shouldn’t build that” as confidently as “here’s how we build that.” The Benefits ... Teleport is an equal opportunity employer and does not discriminate ...