Security Engineer

• Communicating with current customers, understanding their needs, and helping them adopt and expand security solutions.
• Work closely with account managers to strengthen customer relationships.
• Increase product adoption and support overall revenue growth.

Sales Development Representative – SaaS, Network Security

• Source and qualify leads across target territories and account lists.
• Conduct high-volume outbound calling using a dialing platform.
• Make 100–300 calls per day to generate qualified opportunities.
• Book a minimum of 7 qualified meetings per week.
• Achieve around 20 qualified, completed meetings per month.
• Use LinkedIn Sales Navigator to identify decision-makers and build prospect lists.
• Manage outreach activity, follow-ups, and prospect data accurately.
• Support territory planning and pipeline development.
• Write clear, professional prospecting messages and follow-up emails.
• Collaborate with the sales team to improve messaging, targeting, and conversion rates.

Business Development Representative – Cybersecurity

• Plan and execute red team engagements, penetration tests and adversary simulations against our platforms, products and corporate environment.
• Identify, exploit and document vulnerabilities across web applications, APIs, cloud infrastructure, identity systems and AI/LLM-based services.
• Develop realistic attack scenarios — initial access, privilege escalation, lateral movement, data exfiltration — mapped to frameworks such as MITRE ATT&CK.
• Build and maintain custom tooling, exploits and automation where off-the-shelf tools fall short.
• Leverage AI pen testing tooling and frameworks as a force amplifier within your role.
• Active, hands-on use of **AI-powered offensive security tooling** as a core part of your workflow — leveraging LLMs and agentic assistants to accelerate reconnaissance, exploit development, code review, payload generation and report writing.
• Familiarity with emerging **AI red-team frameworks and platforms** — e.g. PyRIT, Garak, Promptfoo, NVIDIA Aegis, Microsoft Counterfit, HackerOne / Bugcrowd AI testing toolkits, or equivalent — and a practical sense of when to use which.
• Experience building or extending **automated AI red-team harnesses**: prompt-injection test suites, jailbreak corpora, tool-abuse scenarios, multi-turn attack agents, and regression eval sets for LLM and agentic systems.
• Pragmatic judgement on the **limits and risks of AI-assisted offensive work** — hallucinated findings, false confidence, data leakage into third-party models — and the discipline to validate AI output before acting on it.
• Curiosity to keep pace with a fast-moving space: new models, new attack techniques, new defensive controls — and a willingness to bring those learnings back into the team.
• Probe LLM-powered and agentic systems for prompt injection, jailbreaks, tool/function-call abuse, context leakage, insecure output handling and supply-chain risks.
• Test RAG pipelines, knowledge bases and integrations for data exfiltration, poisoning and unauthorised access paths.
• Contribute to internal threat models for agentic architectures and help shape secure-by-default patterns for multi-agent and tool-using systems.
• Stay close to evolving standards and guidance (e.g. OWASP Top 10 for LLMs, NIST AI RMF, emerging agent interoperability protocols).
• Perform deep-dive security testing of cloud workloads across AWS, Azure and/or GCP — IAM, network, container, serverless and data-layer concerns.
• Review CI/CD pipelines, IaC (Terraform, CloudFormation, Bicep) and Kubernetes deployments for misconfigurations and exploitable weaknesses.
• Conduct source-assisted ("grey-box") testing — reading code to find logic flaws, authZ gaps and unsafe integrations.
• Triage findings, assign realistic severity, and write clear, reproducible reports with concrete remediation guidance.
• Partner with engineering teams to validate fixes, advise on secure design and pair on hardening work — not just throw findings over the wall.
• Drive continuous improvement of detection coverage by working with the blue team / SOC on purple-team exercises.
• Build automation that turns one-off tests into repeatable, scheduled checks — exposure scanning, attack-path analysis, agent red-teaming harnesses.
• Integrate offensive testing into the SDLC: SAST/DAST/IAST, dependency scanning, secrets detection, container and IaC scanning.
• Treat evaluation and regression of security controls as a first-class deliverable — measured, not assumed.
• Work alongside the Head of Information Security, AI Ethics leads, platform engineering and product teams to embed security early.
• Produce clear design reviews, threat models, runbooks and post-engagement reports for both technical and executive audiences.
• Operate within strict rules of engagement, with care for production stability, customer data and legal/regulatory obligations.

See all jobs on JobTailor

Sales Development Representative – SaaS, Network Security

Business Development Representative – Cybersecurity

Red Team Security Engineer