Build autonomous security
from the ground up.

Responsibilities

• Generate pipeline via outbound, events, and referrals for both AutoFix (enterprise) and Swarm (startups and growing companies)
• Run discovery, scoping, and proposals with the security team
• Develop MSP/MSSP and cloud marketplace partnerships
• Maintain CRM hygiene; own forecast, metrics, and stage progression
• Coordinate marketing programs — case studies, webinars, demand gen

Must-have

• 2–5+ years in B2B security or SaaS business development or sales
• Proven new-logo acquisition and partnership building
• Strong written communication for cold outreach, proposals, and SOWs
• Comfortable discussing penetration testing, autonomous remediation, and compliance

Nice-to-have

• Selling to CTO/CISO/VP Eng at enterprise companies for AutoFix, and to engineering and security leads at startups for Swarm
• Familiarity with SOC 2, ISO 27001, and OWASP frameworks
• HubSpot or Salesforce experience; sequencing and cadence tools
• Network within MSP/MSSP/channel ecosystems

Responsibilities

• Design and implement remediation playbooks across CVE, misconfiguration, secrets, and IAM categories
• Build prod-clone sandbox infrastructure for safe fix testing
• Develop regression and compliance verification pipelines
• Instrument telemetry, audit logging, and rollback systems
• Collaborate with customer security teams on integration and feedback

Must-have

• Strong systems engineering background (Go, Python, or Rust)
• Deep understanding of Linux security, container hardening, and IAM patterns
• Experience with cloud environments: AWS, GCP, or Azure
• Familiarity with CVE triage, patch management, and secrets management
• Strong written communication — audit trails and fix guidance must be clear

Nice-to-have

• Experience building security automation or SOAR integrations
• Kubernetes internals and cluster security
• Prior work in remediation platforms or DevSecOps tooling

Responsibilities

• Develop and maintain exploitation modules across OWASP Top 10, TLS, DNS, cloud, and auth categories
• Improve AI agent decision-making for active exploitation attempts
• Build evidence collection and zero-false-positive validation pipelines
• Work on PDF report generation — executive and technical layers
• Monitor scan quality and coverage against evolving attack surface patterns

Must-have

• Hands-on penetration testing experience (web, API, network)
• Familiarity with OWASP ASVS/MASVS and common exploitation techniques
• Python for tooling and automation
• Strong writing — findings must be clear for both engineers and executives
• Understanding of DNS, TLS, cloud storage, and security headers

Nice-to-have

• CTF, bug bounty, or published security research
• Experience with LLM-based agents or AI-assisted tooling
• Cloud security: AWS/GCP/Azure exposure testing