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Role description

Sales Engineer

LS
Legion Security
WorkplaceRemote
SeniorityMid-level
LocationNew York, NY
Sales

Type: Full-time | Compensation: Competitive | Location: Remote (US-based)

We’re looking for a Sales Engineer to partner closely with our Enterprise Account Executives and serve as a technical champion in early sales cycles. You’ll play a critical role in shaping how we position and demonstrate our AI Security Workers to enterprise security teams — often introducing them to a new category of automation.

This is a foundational hire on our GTM team. You’ll wear many hats, support high-stakes conversations, and help shape the technical sales motion from the ground up.

Partner with Account Executives to run discovery, demos, proof-of-value pilots, and security evaluations

Tailor technical presentations and product walkthroughs for CISOs, SOC managers, and security engineers

Translate customer requirements into clear product feedback and use-case proposals

Help customers understand how Legion integrates with (or augments) their existing SOC tools and workflows

Build demo environments, hands-on labs, or pilot playbooks as needed to support repeatable selling

Stay close to the product — including new features, edge cases, and roadmap conversations

3+ years of Sales Engineering or Security Engineering experience, ideally in B2B cybersecurity or AI

Strong understanding of the SOC ecosystem — including alert triage, detection and response workflows, and tools like SIEMs, EDRs, or SOAR platforms

Ability to clearly communicate technical concepts to both executive and hands-on stakeholders

Experience working in startups or early-stage environments where ambiguity is the norm

Resourcefulness and scrappiness — you’re comfortable building things from scratch and iterating quickly

Bonus: experience with browser-based automation, scripting, or workflow modeling

Relevant archetypes

Apply on legionsecurity.ai
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Company info

LS

Legion Security

Legion presents an AI SOC companion browser extension that enables scalable automation using in-house knowledge.

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