Skills this job asks for
SalesforceSupply chainProduct managementLeadershipLLMs
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Where you can work from
United States only
Based on the listing's location: Remote - US.
The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.
Visa sponsorship, if you would relocate
Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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What Endor Labs INC paid sponsored hires in similar roles1 certified filing for “Product Operations Manager” (Information Technology Project Managers) in CA: $100k–$100k, median $100k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Endor Labs INC paid sponsored hires in similar roles
- 1 certified filing for “Product Operations Manager” (Information Technology Project Managers) in CA: $100k–$100k, median $100k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
About Us
AI coding is the largest use case of enterprise AI adoption today. The development bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. In existing code, vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.
That is where Endor Labs comes in. Our patented code context graph, which maps code, open source, containers and infrastructure, shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won’t break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets.
Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We’ve raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital.
Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us.
How You'll Make an Impact
As our founding Principal Product Security Engineer, you'll work closely with the Head of Security & IT to set and execute the security strategy for the Endor Labs platform. That spans supply chain security, first-party code scanning, runtime monitoring, AI agent hardening, threat modeling and design reviews, along with deploying agents to improve quality and scale in each of these areas.
The top problems you will solve:
• Fix issues in our application. AI tooling is good at generating findings. Validating, prioritizing, and fixing findings at scale on an ongoing basis is the new frontier. We are building a platform around this for our customers, and our work internally should guide these efforts.
• Stop insecure code from being merged. You'll help build out our internal apparatus around our own AI SAST product and set up paved paths so everyone, from principal engineers to citizen developers, can be confident in the security of their code contributions.
Both of these are simple in goal, lofty in practice.
Beyond these problems, running application security for an application security company is a rare opportunity to help shape the product we build for customers. Our application security program heavily utilizes our own platform, which makes our program both a proving ground for the product and an incubator for our R&D. You'll work closely with Product and Engineering to solve problems for customers too: shaping the roadmap, reviewing designs and mocks, and giving feedback on implementation. You'll share what works with customers, prospects and the broader security community.
What You Bring to the Table
• 10+ years in application or product security, including staff- or principal-level technical leadership.
• A track record of building security tooling and automation that runs at scale across an engineering organization, and of measuring whether it works.
• A track record of influencing a product or platform roadmap: you've turned internal security work into something other teams or customers adopt.
• Demonstrated hands-on work applying LLMs and agents to security problems. You've built a harness, compared tools, or measured where they fail, and you have well-reasoned opinions on both halves of AI code security: how to find, validate and fix vulnerabilities in existing code, and how best to prevent insecure code from being merged.
• Deep threat modeling and secure architecture skills. You know a strong t
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