Jobs at Theori, Inc.

Generate outbound pipeline for Xint by targeting enterprise and high-growth software companies, engaging AppSec and security leaders through email, phone, and LinkedIn, qualifying inbound leads, booking sales meetings, maintaining HubSpot records, attending Bay Area security events, and helping develop the outbound sales playbook.

Design and build Python-based static, binary, and mobile application analysis capabilities for an AI-driven penetration testing platform. Develop instrumentation and testing infrastructure for real devices, automate reverse engineering techniques, evaluate analysis quality, and collaborate with security researchers. The role requires expertise in reverse engineering, mobile internals, program analysis, and production software engineering, with remote work based in the Washington, DC metro area and periodic client-site work.

Own full-cycle recruiting for North American roles across sales, marketing, operations, and engineering. Build recruiting processes, manage Ashby, source candidates, coordinate interviews, oversee offers, manage agencies, create SOPs, and lead preboarding through the first week. The role requires startup recruiting experience, strong outbound sourcing, B2B software GTM hiring expertise, and the ability to establish a recruiting function from scratch.

Owns paid acquisition, HubSpot marketing operations, website optimization, SEO, conversion tracking, and attribution reporting for an AI-native cybersecurity SaaS product. The role launches and optimizes campaigns, manages lead scoring and routing, builds landing pages and workflows, runs conversion experiments, and connects marketing spend to pipeline and revenue. It requires hands-on B2B SaaS growth marketing experience targeting technical and senior security buyers.

Triage and validate AI-generated static-analysis vulnerability reports, confirm true positives by writing proof-of-concept exploits, analyze false positives to improve tooling, provide structured feedback to engineers, and author detailed vulnerability reports for upstream vendors and open-source projects.

Design, build, and maintain scalable, fault-tolerant backend services and data pipelines for an AI-driven cybersecurity platform. Implement secure APIs, optimize performance across distributed systems, establish backend best practices and CI/CD, write well-tested Python code, and mentor junior engineers.