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We are seeking a deeply technical leader to own the architecture, strategy, and hands-on execution of our cloud infrastructure. This role will drive advanced initiatives end-to-end - from foundational system design through production hardening - setting the technical bar for infrastructure excellence across the company.
The Principal Cloud Infrastructure Architect will operate in a fast-paced environment, making high-stakes architectural decisions, balancing innovation with production rigor, and fostering a culture of engineering ownership and operational excellence.
Responsibilities:
Own and drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Design and implement advanced automation frameworks, internal developer platforms, and tooling utilizing Python, Bash, and modern infrastructure-as-code technologies (e.g., Terraform, CDKTF).
Architect and continuously evolve CI/CD systems and delivery pipelines at scale, reducing friction and elevating developer productivity and deployment safety standards.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, incident response, and system health.
Partner closely with engineering leadership and cross-functional teams to shape infrastructure roadmaps, enable scalable deployments, and ensure resilient production systems.
Make and own high-impact technical tradeoff decisions that judiciously balance velocity, cost efficiency, security, and reliability in a dynamic, growth-oriented environment.
Serve as a technical mentor and force multiplier, elevating the infrastructure capabilities of the broader engineering organization and championing a DevOps-first culture.

we are looking for a FP&A Lead to take on a broad and impactful role within our Finance team.
This position offers wide ownership across core financial planning, business performance analysis, and strategic decision support. You will work cross-functionally with leaders across the company to drive visibility, accountability, and data-driven decision-making.
This is a high-exposure role with significant responsibility and the opportunity to influence how financial insights are embedded into day-to-day business decisions.
What Youll Do:
Lead day-to-day FP&A operations and ensure high-quality financial planning and reporting processes
Own and maintain financial models across revenue and operating expenses
Support cash flow planning and runway analysis
Monitor company-wide performance against targets and proactively flag risks and opportunities
Act as a strategic finance partner to department leaders across the company
Provide ad-hoc analysis to support strategic initiatives and business decisions
Prepare financial materials for leadership discussions and board reporting

We are looking for a senior, hands-on Security Operations Lead to build, mature, and operate detection, response, and corporate security capabilities. You will own the engineering, workflows, and processes that keep secure day-to-day, while continuously improving visibility, automation, and operational resilience across both corporate and production environments. This role requires a technical operator who can architect scalable detection and response pipelines, manage endpoint and identity security controls, streamline GTM security enablement, and collaborate across the company to reduce risk. You will balance strategic direction with hands-on execution-ensuring threats are identified quickly, incidents are handled effectively, and the organizations operational security posture remains strong as grows.
Responsibilities:
Own and mature Detection & Response program, including alerting, triage workflows, incident playbooks, and end-to-end response processes.
Build and maintain detection logic, integrations, and automation across logging, SIEM, EDR, cloud telemetry, and internal monitoring systems.
Lead incident investigations, coordinate response across engineering and business teams, and ensure clear communication and post-incident reviews.
Manage Corporate Security Program, including identity and access management, endpoint posture management, corporate data security controls, and DLP practices.
Oversee privileged access workflows and JIT access for corporate and production systems in alignment with least-privilege principles.
Partner with engineering teams to ensure production environments maintain strong security baselines, logging, and monitoring coverage.
Collaborate with GTM/Sales teams to support Security Enablement, including third-party security questionnaires, customer assurance needs, and auditor inquiries.
Build automation-first operational processes that reduce manual overhead and provide consistent, repeatable security outcomes.
Develop and refine detection and response runbooks, escalation paths, and cross-team coordination models.
Maintain and improve incident and operational metrics, dashboards, and KPIs to measure operational efficiency and threat coverage.
Drive the intake and prioritization of security operations requests through Jira and internal workflows.
Work closely with Product Security, Cloud/DevOps, and GRC to ensure shared visibility and aligned operational practices.
Identify operational security gaps, propose improvements, and lead implementation efforts across tooling, processes, and controls.
Promote a culture of proactive detection, fast response, and shared responsibility for organizational security.

We're seeking a Senior Security Researcher & Team Lead to own and drive security research domain from the ground up. This is a leadership-first role - you'll build and guide a research team, define a new frontier in AI and agentic security, and shape the methodologies and standards that don't yet exist in the industry. If you thrive in ambiguity, love creating structure where there is none, and want to leave a real mark on an emerging security domain, this role is for you.
You'll investigate emerging attack surfaces, architect and implement detection mechanisms, and validate your findings in production environments protecting Fortune 500 customers. It's a high-ownership position that blends deep technical research with strategic thinking and team leadership - with a real sense of urgency to shape the AI security landscape not just, but for the entire security community.
Responsibilities:
Lead and mentor a security research team, driving vulnerability and threat research that generates product value and protects Fortune 500 customers in production environments.
Take end-to-end ownership of detection mechanism design for agentic AI applications - from initial hypothesis through experimentation to production-grade implementation.
Apply expertise across cloud, identity, web, and API security to map and address the evolving AI threat landscape.
Apply LLMs, Agentic AI, and machine learning models to detect security vulnerabilities.
Collaborate closely with engineering and product teams to translate research into actionable, shippable security capabilities.

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.