Senior Pre-Sales Consultant - CyberSecurity
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Role Overview
The Senior Pre-Sales Consultant (AI & Cybersecurity) is a high-impact, customer-facing role at the intersection of artificial intelligence and modern security operations. As organizations accelerate AI adoption, this role is pivotal in translating that transformation into intelligent, automated, and agent-driven security outcomes. You will serve as the technical and strategic face of the organization during the sales cycle i.e. leading discovery, architecting AI-powered security solutions, and delivering compelling demonstrations that showcase the future of autonomous security operations. The ideal candidate is a dual-fluent technologist: deeply grounded in cybersecurity disciplines (SOC, NOC, Network, Identity, Cloud Security) and equally capable of designing, building, and running AI agents, no-code automations, and agentic workflow demos using modern AI platforms. You will not just talk about AI in security - you will build it, show it, and sell it.
Key Skills for This Role
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About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position Summary
The Senior Pre-Sales Consultant (AI & Cybersecurity) is a high-impact, customer-facing role at the intersection of artificial intelligence and modern security operations. As organizations accelerate AI adoption, this role is pivotal in translating that transformation into intelligent, automated, and agent-driven security outcomes. You will serve as the technical and strategic face of the organization during the sales cycle i.e. leading discovery, architecting AI-powered security solutions, and delivering compelling demonstrations that showcase the future of autonomous security operations. The ideal candidate is a dual-fluent technologist: deeply grounded in cybersecurity disciplines (SOC, NOC, Network, Identity, Cloud Security) and equally capable of designing, building, and running AI agents, no-code automations, and agentic workflow demos using modern AI platforms. You will not just talk about AI in security - you will build it, show it, and sell it.
Key Responsibilities
- Design and demonstrate AI agents and agentic workflows for cybersecurity use cases such as AI SOC Analyst, Auto-Triage Agent, Threat Intelligence Summarizer, Incident Responder, and Compliance Checker.
- Build rapid AI agent prototypes using no-code / low-code platforms such as n8n, Make, Zapier, Microsoft Copilot Studio, CrewAI, LangChain, or AutoGen.
- Develop reusable AI demo libraries for SOC, NOC, Network Security, and IT Operations use cases.
- Translate customer security challenges into AI-driven automation solutions and demonstrate value through live demos and workflows.
- Design cybersecurity solutions across SIEM, SOAR, XDR, NDR, EDR, IAM, CNAPP, SSE, NAC, WAF, Zero Trust, and Cloud Security.
- Create HLDs, LLDs, reference architectures, and SOWs integrating AI into traditional security stacks.
- Architect AI-augmented SOC/NOC frameworks enabling automation, alert enrichment, and autonomous response playbooks.
- Partner with sales teams to lead technical discovery, customer workshops, demos, and PoCs.
- Translate customer requirements into AI + cybersecurity solution architectures and support RFP/RFI responses.
- Stay updated with AI security trends, LLM-driven threat detection, and agentic AI innovations, and contribute to sales enablement and GTM assets.
- Collaborate with product, engineering, and delivery teams for solution development, pricing inputs, and governance across pre-sales engagements.
Basic Qualifications
- Bachelor’s degree in Computer Science, Information Security, AI, Networking, or related field.
- 5–10 years of experience in cybersecurity pre-sales, solution architecture, consulting, or security engineering.
- Hands-on experience with SIEM, SOAR, XDR, NDR, IAM, CNAPP, SSE, NAC, EDR, and WAF technologies.
- Experience building AI agents or automation workflows using tools like n8n, Make, Zapier, Copilot Studio, CrewAI, LangChain, or AutoGen.
- Strong understanding of LLMs, prompt engineering, AI orchestration, and agentic AI frameworks.
- Experience designing HLDs, LLDs, PoCs, and SOWs for enterprise solutions.
- Strong communication, presentation, and stakeholder engagement skills.
- Ability to manage multiple priorities in fast-paced environments.
Preferred Qualifications
- Certifications such as CISSP, CCSP, CEH, Security+, CompTIA CySA+, or cloud security certifications (AWS/Azure/GCP).
- Certifications or expertise in AI platforms and automation tools (Microsoft AI-900/AI-102, Google AI, etc.).
- Experience building AI-powered SOC automation use cases like auto-triage, LLM-based enrichment, incident summaries, or threat-hunting agents.
- Experience with MSSPs, cybersecurity consulting firms, or AI-driven security providers.
- Familiarity with MCP, RAG pipelines, vector databases, and AI orchestration architectures.
- Knowledge of security compliance frameworks such as ISO 27001, NIST, GDPR, PCI-DSS, DPDP, or SOC 2.
- Experience building demo labs, sandbox environments, or PoC accelerators for AI or cybersecurity solutions.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
About Gruve
Provides enterprise AI infrastructure and autonomous software agents.
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