Senior Presales Engineer

Pluto Security is hiring a Senior Presales Engineer to lead the technical side of customer deals, from discovery through signature, for its AI Workspace Security Platform. The role includes demos, proofs of value, technical deal support, and building the company’s presales processes and materials.

Responsibilities:

• Partner with Account Executives on discovery to understand how a prospect’s teams use AI today, what their security stack looks like, and where the risk sits
• Run tailored demos of the Pluto platform for security leaders, practitioners and IT teams
• Scope, run and close proofs of value: define success criteria with the customer, integrate their existing security stack with Pluto, and present the results
• Be the technical voice in the deal, handling architecture, deployment, data-handling and security questions, as well as RFIs and security questionnaires
• Create customer-facing technical documentation, including integration and deployment guides, architecture overviews and competitive materials
• Help build Pluto’s technical sales processes: POV methodology, demo standards, handoffs to Customer Success, and the tooling behind them
• Support channel and technology partners with enablement, joint demos and technical deep dives
• Bring field feedback to Product and R&D: what customers ask for, where we win and lose, and what competitors are showing
• Represent Pluto at customer onsites, conferences and industry events

Requirements:

• 5+ years in a customer-facing Sales Engineering or presales role at a cybersecurity vendor, with recent hands-on time in front of customers
• Experience at an early-stage startup, and comfort building process and collateral where none exists yet
• A track record of running technical evaluations and POVs in enterprise accounts, working alongside AEs to close them
• Working knowledge of endpoint security, identity security, AppSec or AI security, including EDR, MDM and IdP platforms, and how they're deployed and managed in large organizations
• Comfort administering macOS, Windows and Linux endpoints, and enough scripting (Bash, PowerShell or Python) to troubleshoot a deployment yourself
• Hands-on familiarity with AI coding agents and assistants such as Claude Code, Cursor, GitHub Copilot or Codex, and the concepts around them: MCP servers, agent skills, extensions and prompt injection
• The ability to explain architecture, data flows and integration requirements clearly to both security engineers and executives
• Strong writing skills: you can produce customer-facing technical content without heavy editing
• You dig into technical details, close your own knowledge gaps quickly, and stay composed when a demo goes off script
• Experience in AI security, application security, or developer and supply-chain security
• Knowledge of the AI security vendor market
• Existing relationships with security channel partners or resellers