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Corporate Security Engineer

legora

OnSite New York City
Information Security Product Owner

Job Score

90 pts
On-site model (+70) Information Security (+10) Product Owner (+10)

About Us

Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.

Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes.

1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.

We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.

Joining Legora means three things.

  • We lean in: ownership over titles, outcomes over intentions.

  • We fight for excellence: high standards, direct, ego-free feedback.

  • We grow together: as a team and with our customers.

Mission before ego. Everyone contributes. No one coasts.

If you’re driven by impact, pace, and raising the bar. This is the place.

About the team

The IT and AI Enablement function exists to make Legora itself run as well as the product we sell: secure, automated, and compounding over time. Legora builds AI that law firms trust with their most sensitive work, which makes us a target for capable, well-resourced adversaries. Information Security keeps that trust intact, builders-first and AI-first: we ship controls as software and let agents take the first pass, so the human work is the judgment layer. We are not looking for someone to administer consoles and work a compliance checklist. The Corporate Security Engineer owns the security of Legora’s own environment — the identities, devices, SaaS, and AI tools every employee depends on — the operating root of trust the rest of the company connects through.

What you’ll be doing

  • Own non-human identity — the service accounts, agents, and workloads that scale faster than headcount. Keep them inventoried and owned, scoped tightly, running on short-lived and secretless credentials, with a path to revoke at scale.

  • Set the authorization model for agents — scoped, revocable, and auditable: least-privilege at each MCP call, no token passthrough, and delegated authority rather than standing access.

  • Secure how Legora uses AI — govern employee use of LLMs and agents, keep client data on sanctioned paths, and make the safe path the fast one as teams adopt AI.

  • Advance identity for people — phishing-resistant MFA (passkeys / FIDO2), SSO, SCIM lifecycle, and least-privilege / just-in-time access across Google Workspace, Slack, Notion, and the SaaS estate — and cover the attack classes that defeat MFA alone — session / token theft, adversary-in-the-middle phishing, OAuth consent abuse — with continuous access evaluation to revoke live sessions on risk.

  • Raise the bar on SaaS security posture (SSPM) — configurations held to clear benchmarks, and risky OAuth grants, over-permissioned or stale admins, shadow SaaS / AI, and config drift surfaced continuously — the technical lens on the portfolio the SaaS Enablement & Governance Lead holds the system of record for.

  • Own endpoint and device trust — an Apple-first fleet on MDM and EDR, with access gated on device health via zero-trust / conditional access, partnering with IT Systems and Workplace Technology, who run the fleet and network.

  • Own data-protection controls (DLP) across endpoint, SaaS, browser, and AI-egress, run access reviews, and surface insider-risk signals to Detection & Response for investigation with People and Legal.

  • Build controls and guardrails as code (Python + Terraform / IaC) so security scales, tracked against agent-identity and MFA coverage, risky OAuth grants closed, and mean time to remediate and revoke.

Who you are

  • 4+ years in corporate, enterprise, or IT security, with full ownership of security decisions and scope end to end.

  • A builder first — you write production-grade code (Python at least) and treat controls, automations, and detections as software you own, not tickets you close.

  • AI-first by conviction — you already reach for agents and LLMs (Claude Code and the like) to compress toil, and you have a clear view on where they’re trustworthy and where a human owns the call. Show us something you automated that used to eat your week.

  • Identity-, SaaS-, and AI-centric in how you think about security — the modern attack surface (identity as the new perimeter, the SaaS estate, endpoints, and the AI tools employees use), not network-perimeter or compliance-checklist.

  • Fluent with modern identity — an enterprise IdP (Okta and/or Microsoft Entra ID) and Google Workspace, SSO and SCIM lifecycle, phishing-resistant MFA, and the protocols underneath (SAML, OAuth 2.0, OIDC).

  • Energised by the threat model — you find it motivating, not daunting, that securing an AI company law firms trust with their most sensitive work means well-resourced adversaries and novel attack surface.

Nice to have

  • Securing AI systems — prompt-injection and exfiltration detection, agent / tool-use telemetry, and the OWASP LLM Top 10.

  • Identity threat detection (ITDR) and SaaS-identity tooling — Okta / Microsoft Entra ID Protection and e.g. Push Security.

  • Non-human identity and secrets — service-account governance, workload identity, and secrets management (e.g. 1Password, HashiCorp Vault).

  • Agent authorization — delegated authority and short-lived, narrowly-scoped tokens (OAuth token exchange / identity chaining), and MCP enterprise-managed authorization.

  • Endpoint at scale — Jamf (Apple) and Intune (Windows), with modern EDR.

  • Security automation and guardrails-as-code — deterministic workflows and SOAR (e.g. Tines, Torq).

  • DLP and insider-risk tooling — modern data-loss prevention and UEBA.

  • SOC 2 / ISO 27001 control implementation and compliance-as-code alongside engineering — GRC owns the certifications, you build and evidence the technical controls.

  • Experience with Okta, Microsoft Entra ID, 1Password, CrowdStrike, Jamf, Lumos, and our AI-native ITSM (Serval).

What’s In It For You

  • Global collaboration: Partner with teams and clients across Europe, APAC, and North America.

  • Competitive package: Comprehensive salary, benefits, and tools for success.

  • Meaningful work: Your efforts shape how thousands of lawyers use AI daily.

  • In-person environment: Union Square office designed for ambitious builders and company provided lunch daily.

  • Benefits & Perks: We invest in our people with a comprehensive, thoughtfully designed benefits package:
    Medical, Dental & Vision

    • Multiple medical plan options through Aetna and Kaiser Permanente

    • HSA or Healthcare FSA (based on plan selection)

    • Dental plans via MetLife

    • Vision plans via Vision Care

    Family Support

    • Generous parental leave

    • Free access to Maven Clinic

    • Dependent Care FSA

    • Free One Medical membership for employees and dependents

    Additional Perks

    • Pre-tax commuter benefits

    • Life Insurance + STD/LTD

    • 401(K) with generous company match

    • Unlimited PTO

    • Robust voluntary benefits, including identity protection (via Aura), legal coverage via MetLife, pet savings programs, and more

Legora is an Equal Opportunity Employer

At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

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About Information Security

The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.

Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.

Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.

About Product Owner

The Product Owner (PO) is the professional responsible for maximizing the value of the product delivered by the development team. They act as the voice of the customer and stakeholders, managing and prioritizing the product backlog, defining clear user stories, and ensuring the team works on the most valuable items for the business.

Key skills include backlog management, user story writing, prioritization (Mascow, RICE), agile methodologies (Scrum, Kanban), and stakeholder communication. Knowledge of tools like Jira, Trello, Azure DevOps, and Miro is essential.

Product Owners are highly sought-after professionals in the technology market, working collaboratively with Scrum Masters, Product Managers, and engineering teams to drive agility and continuous value delivery.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Cloud Solutions

The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.

Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.

Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.

About Web Master

The Web Master is the professional responsible for maintaining, securing, and ensuring the technical performance of websites and web applications. They manage servers, hosting infrastructure, uptime monitoring, and ensure everything runs fast and reliably.

Key skills include server management (Apache, Nginx), hosting (AWS, Google Cloud, Azure), CDN (Cloudflare), SSL, DNS, web security (WAF, firewall), performance (Core Web Vitals, cache, compression), and versioning (Git, CI/CD). Knowledge of Docker, WordPress, cPanel, and monitoring (Sentry, New Relic) is a differentiator.

Web Masters in technology companies are highly valued, especially those who master DevOps, SRE, and can guarantee uptime and performance at scale. The field offers opportunities from junior webmaster to SRE and infrastructure engineer, with a focus on reliability, security, and speed.

About Traffic Manager

The Traffic Manager is the professional responsible for planning, executing, and optimizing paid media campaigns across various digital platforms. With the competitiveness of the digital market, paid traffic professionals are essential for generating qualified leads and maximizing return on advertising investment.

Key skills include campaign management on Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads, media planning, metrics analysis (ROAS, CPA, CPC, CTR), A/B testing, remarketing, and landing page creation. Tools like Google Analytics, Google Tag Manager, Hotjar, and automation platforms are essential.

Traffic managers in technology companies are highly valued, especially those who master performance marketing, conversion funnel optimization, and scaling strategies. The field offers opportunities from media analyst to head of performance, with a focus on growth, budget efficiency, and return on investment.

About Business Analysis

The Business Analyst (BA) is the professional responsible for identifying problems, opportunities, and solutions in organizational processes, acting as a bridge between business areas and the technology development team. They gather and specify requirements, map value streams, design future processes, and help ensure that software deliveries align with the company's strategic goals.

About Human Resources

The Human Resources area is responsible for all people management in organizations, from attracting and selecting talent to developing, retaining, and ensuring employee well-being. HR professionals are fundamental to building strong organizational cultures and engagement.

Key skills include recruitment and selection, compensation and benefits management, learning and development (L&D), organizational climate, employee engagement, labor law, labor relations, and HR tools (Workday, SAP SuccessFactors, Bamboo HR). Knowledge of people analytics and data-driven HR is a differentiator.

HR professionals in technology companies are highly valued, especially those who master employer branding, people analytics, and talent retention strategies. The field offers opportunities from HR analyst to Chief People Officer, with a focus on culture, engagement, and people growth.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

Read full guide →

Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

Read full guide →

Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

Read full guide →

Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

Read full guide →

Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

Read full guide →

Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

Read full guide →

Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

Read full guide →

Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

Read full guide →

Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

Data-Driven: How Data Defines Company Success or Failure

The Data-Driven Era: How Data Culture Defines Company Success or Failure

Published by Mondywork | Category: Data / Business Intelligence

The End of Corporate Gut Feeling

In the past, major business decisions were made based on intuition, previous experience, or the famous "gut feeling" of directors (what the market refers to as the HiPPO - Highest Paid Person's Opinion). Today, however, in a highly competitive and globalized corporate ecosystem, relying on guesswork is the fastest recipe for bankruptcy.

Digital transformation didn't just connect processes; it generated a massive volume of information. The companies that thrive are those that know how to capture, clean, and transform this raw data into actionable insights.

"Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain those customers, and 19 times as likely to be profitable as a result."
— McKinsey Global Institute Study

What Does it Mean to Have a Data-Driven Culture?

Being Data-Driven doesn't just mean subscribing to expensive Analytics tools or having a beautiful dashboard on the office wall. It's a fundamental shift in organizational culture, where truth is sought in the numbers before any action is executed.

  • Predictability: Predictive models allow companies to forecast market trends, customer churn, and operational bottlenecks before they happen.
  • Risk Mitigation: Decisions based on statistics drastically reduce the margin of error in investments and new product launches.
  • Personalization at Scale: Behavioral analysis enables marketing to deliver exactly what the user wants, right when they have the highest propensity to buy.

The Impact of Business Intelligence (BI) and Big Data

To extract the true value from information, companies are building robust Business Intelligence (BI) and Big Data departments. ETL (Extract, Transform, Load) processes, Data Lakes architecture, and the mastery of software like Power BI and Tableau have become the backbone of top-tier US startups and unicorns.

The Harvard Business Review has repeatedly highlighted that the professional who can translate complex data into business language is a modern corporation's most valuable asset. It's not enough to have the data; you must know how to tell a story with it (Data Storytelling).

The Job Market: The Hunt for Data Talent

With this paradigm shift, the demand for Data Engineers, BI Analysts, Data Scientists, and Analytics Engineers has skyrocketed. International companies—especially in the US and Europe—are aggressively hiring global professionals for 100% US Remote roles, offering highly competitive six-figure compensation packages.

For these companies, which use rigorous Applicant Tracking Systems (ATS like Ashby, Workday, and Greenhouse), the ideal candidate is one who seamlessly blends technical mastery (SQL, Python, DAX) with a sharp business acumen.


References and Recommended Reading

  • McKinsey & Company: The data-driven enterprise of 2025.
  • Harvard Business Review: How to Build a Data-Driven Culture.
  • Gartner: Top Trends in Data and Analytics.

Master the art of turning data into revenue?

The best US startups and global tech companies are actively looking for analytical professionals like you, offering remote roles with premium compensation. Don't miss out on the top Data, BI, and Machine Learning opportunities in the market.