Channel Sales Engineer
T
TorqCybersecurity AI SOC
USFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonArtificial IntelligenceBashGCPMachine LearningAzureRESTful APIs
Requirements
- 5+ years of experience in pre-sales, solutions engineering, or channel technical roles, with a strong focus on SaaS Cloud Security security knowledge
- Experience with AI SOC, AI-driven security automation, or autonomous threat response platforms is highly desirable
- Demonstrated experience working with or through Systems Integrators (SIs), MSSPs, or Value-Added Resellers (VARs) in a channel-facing SE capacity
- Familiarity with Public Sector procurement processes, compliance frameworks (FedRAMP, CMMC, NIST), and the unique technical requirements of government and SLED customers
- Hands-on experience with Public Cloud platforms (AWS, GCP, Azure) and comfort working across hybrid and multi-cloud environments
- Proficiency with scripting and programming languages such as Python, PowerShell, Bash, and REST APIs for building integrations and automating workflows
- Excellent knowledge of cybersecurity solutions including SIEM, SOAR, EDR, Cloud Security, and Email Security
- Familiarity with AI and machine learning concepts as they apply to security operations, including AI-driven alert triage, autonomous investigation workflows, and LLM-powered threat analysis
- Strong communication skills with the ability to present technical concepts clearly to both technical practitioners and executive audiences at partner and customer organizations
- Proven ability to manage multiple partner engagements and projects simultaneously in a fast-paced, high-growth environment
- Experience working with Fortune 1000 enterprises and/or large government agencies through SI partners
- Strong relationship management skills, with a track record of building trust with technical and business stakeholders at partner organizations
- Excellent project management and organizational skills, with the ability to work independently and meet deadlines
- Willingness and ability to travel frequently to partner sites, industry events, and customer engagements
Responsibilities
- Serve as the primary technical point of contact for SI and Public Sector channel partners, providing pre-sales engineering support and enabling partners to independently position and demonstrate Torq’s AI SOC platform as the leading solution in autonomous security operations.
- Develop and deliver partner enablement programs, including technical training, certification support, and go-to-market playbooks tailored to the SI and Public Sector segments, with a focus on communicating Torq’s AI-driven differentiation.
- Lead and support joint technical engagements with partners and their end customers, including discovery sessions, AI SOC architecture reviews, proof-of-concept (POC) designs, and product demonstrations showcasing Torq’s autonomous investigation and response capabilities.
- Partner with channel sales leadership and product groups to drive operational excellence, meet quarterly and annual channel revenue targets, and ensure pipeline accuracy in CRM systems.
- Build and maintain strong technical relationships with key stakeholders at partner organizations, including practice leads, architects, and delivery teams.
- Collaborate with Torq’s product, engineering, and customer success teams to relay partner and customer feedback and influence product roadmap priorities.
- Represent Torq at industry conferences, partner forums, government and public sector events, and SI summits as a subject matter expert and thought leader in AI SOC and autonomous security operations.
- Support partner-led RFP and RFI responses for Public Sector opportunities, including FedRAMP, SLED, and defense/civilian agency accounts.
- Develop reusable technical assets demo environments, AI SOC integration guides, reference architectures to scale partner success and showcase Torq’s AI-powered automation capabilities across the channel ecosystem.
- Promote best practices in channel sales engineering methodology, including proper use of CRM systems and sales stage discipline across the partner base.
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