Note: The job is a remote job and is open to candidates in USA. Torq is a cybersecurity company developing an AI-native autonomous SecOps platform for security teams. The Sales Engineer will provide pre-sales technical expertise, support sales strategy and methodology, demonstrate the value of Torq’s solutions, and help customers address their technical security needs. The role also involves leading sales engineering practices, collaborating across functions, supporting product development, and engaging with customers and industry events.
Responsibilities
- Provide outstanding and effective pre-sales technical expertise and sales engineering processes
- Lead the Sales Engineering team in following sales methodology and best practices, as well as ensuring proper use of CRM system
- Partner with sales leadership and product groups to drive operational excellence and efficiency and meet quarterly and annual sales targets
- Ensure accuracy and accountability with internal systems and tools
- Provide technical guidance and support to the sales team, ensuring that they have the knowledge and tools needed to be successful
- Deliver compelling presentations to customers and prospects to ensure they understand the value of our solution
- Promote products and business solutions at conferences, forums, and seminars
- Participate in regional industry events/organizations as a thought leader
- Collaborate with a variety of internal functional areas to ensure solutions are implemented and supported in-line with client expectations
- Provide input on product development or enhancements to existing products to product management function
Skills
- This remote position is based in the Atlanta Metropolitan area, candidates must be located in Atlanta
- 5+ years in pre-sales/solutions engineering for a SaaS security product — SecOps, SIEM, SOAR, EDR/XDR, or AI SOC. Security domain knowledge is a must
- Working fluency with agentic AI: multi-agent systems, reasoning and planning, tool calling, MCP, prompt engineering, and the practical limits of LLMs in security
- Hands-on use of AI tooling to build — demo environments, POC assets, integrations, and custom workflows
- Ability to address AI trust and governance in enterprise evaluations: explainability, audit trails, approval gates, blast-radius limits, reversibility, and data handling
- Familiarity with the AI SOC competitive landscape and how architectures differ, from autonomous triage point solutions to AI-augmented SIEM and EDR bundles
- Fluency in the modern SOC operating model: triage, investigation, case management, Tier 1–3 workflows, MTTD/MTTR
- Deep understanding of pre-sales engineering and sales stage processes, including scoped POCs with measurable success criteria
- Public Cloud (AWS/GCP/Azure) hands-on working knowledge
- Hands-on with Python, PowerShell, or bash, plus REST APIs, JSON, and webhook-based integrations
- Prior experience selling one or more cybersecurity solutions: SIEM, SOAR, EDR/XDR, Cloud Security, Identity, Email Security
- Based in the Southeast/Atlanta Metropolitan area with regular on-site presence
- Outstanding presentation skills for both technical and executive audiences
- Proven self-starter able to manage multiple projects simultaneously while meeting deadlines
- Demonstrated success with Fortune 1000 companies
- Excellent project management skills and ability to influence technical decision makers and executives
- Ability to travel frequently and participate in events
Benefits
- Remote position based in the Atlanta Metropolitan area
Company Overview