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(Senior Or Staff) Detection & Response Engineer

legora

OnSite New York City
Product Owner

Job Score

80 pts
On-site model (+70) 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 helps Legora run securely and reliably as we grow. We are building an AI-native Information Security function. We ship security controls as software, and agents handle first-pass triage and routine investigation. People make the high-impact calls.

This role owns detection and response across Legora's corporate and production environments: endpoints, identity, cloud workloads, SaaS, and the AI systems and agents we operate. Law firms trust Legora with sensitive work, so we expect capable, well-resourced attackers. Your job is to find and stop them.

What you’ll be doing

  • Own detection and response across endpoints, identity, cloud workloads, SaaS, and Legora's AI systems. Hunt, triage, investigate, contain, and drive incidents through resolution, then turn what you learn into better detections and controls.

  • Build detections as production software on telemetry and pipelines provided by AI & Integrations Engineering. Keep them version-controlled, peer-reviewed, tested, and deployed through CI/CD. Measure coverage, precision, and time to detection, then tune where the data shows a gap.

  • Build threat models, telemetry, and response playbooks for our AI systems, agents, and their tool use. Detect misuse of agents operating across the company.

  • Build and supervise agents for triage, enrichment, and investigation. Set guardrails and approval thresholds for containment and other high-impact actions.

  • Map coverage to MITRE ATT&CK and validate it through threat hunting, penetration-test findings, and adversary emulation.

  • Share the on-call rotation and act as incident commander when security is involved. Engineering owns service reliability; Customer Trust and Legal own customer communications. Run post-incident reviews and use the findings to reduce detection and containment time.

  • Investigate insider risk and identity abuse with Corporate Security, People, and Legal. Work with Vulnerability Management on exposure priorities and IT Systems on the underlying estate.

  • Track actors and campaigns targeting AI companies and convert the intelligence into hunts and detections. Own the digital-risk platform and coordinate urgent phishing and impersonation takedowns.

Who you are

  • 5+ years in detection engineering, incident response, or security operations, including work as a senior escalation point. For Staff, we expect roughly 10+ years and experience setting detection and response strategy.

  • Strong software engineering skills in Python and SQL. You build detections, automations, and telemetry pipelines that run reliably in production.

  • You use LLMs and agents in day-to-day security work and know which decisions require a human. Be ready to show us an investigation or workflow you automated.

  • Fluent across endpoint, identity, cloud, and SaaS telemetry. You reason from attacker behaviour and correlate signals across systems.

  • You communicate clearly during incidents and turn incomplete technical evidence into sound decisions. Your post-incident reviews lead to concrete changes.

Nice to have

  • Experience with a modern SIEM or security data lake and at least two relevant query or rule languages, such as SPL, KQL, YARA-L, Sigma, or SQL.

  • Experience securing AI systems, agent tool use, and AI data flows, including prompt injection and exfiltration risks.

  • Experience with response automation, incident management, digital forensics, or malware analysis.

  • Threat intelligence, insider risk, or DLP experience.

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 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 Fullstack

Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.

Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.

Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.

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 Data

The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.

Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.

The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.

About Public Relations

The Public Relations (PR) area focuses on managing the reputation, image, and communication of an organization with its various stakeholders (such as clients, investors, employees, media, and the community). PR professionals develop corporate communication strategies, manage media relations (press relations), organize institutional events, and work in image crisis prevention and management.

About Marketing

The Marketing area is strategic for the growth and positioning of any company. It encompasses traditional marketing, brand management, market research, trade marketing, product marketing, and market intelligence. Marketing professionals are responsible for planning and executing strategies that connect brands to their target audience.

Key skills include brand management, market research, competitive analysis, product marketing, trade marketing, pricing, relationship marketing, and channel development. Knowledge of research tools (Nielsen, Kantar, Ipsos), BI, and advanced spreadsheets is a differentiator.

Marketing professionals in technology companies are highly valued, especially those who master product marketing, go-to-market strategy, and data-driven marketing. The field offers opportunities from analyst to CMO, with a focus on growth, brand positioning, and return on investment.

Career Guides

Technology Career Guide

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

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Design Career Guide

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

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Marketing Career Guide

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

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Finance Career Guide

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

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Communication Career Guide

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

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Administration Career Guide

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

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Data Career Guide

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

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Product Career Guide

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

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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

The 2026 AI Boom: The Most Valuable Tech Careers and How to Land Six-Figure Remote Jobs

We are halfway through 2026, and one thing is crystal clear: the "experimental" phase of Artificial Intelligence is officially over. While 2023 and 2024 were characterized by awe over chatbots drafting emails and generating images, 2026 has solidified AI as the core infrastructure of global enterprises. The transition from standalone "AI tools" to Autonomous Agents and Multi-Agent Systems has radically transformed the job market.

For Tech, Design, and Digital Marketing professionals across the United States, 2026 represents the greatest window of opportunity of the decade to secure top-tier, 100% remote roles with highly lucrative six-figure compensations.

In this article, we will break down the current AI job landscape, backed by recent data, and list the top careers that startups and Fortune 500 companies are desperately trying to fill.

The Current Landscape: 2026 Data and Projections

The market isn't just hiring standard developers anymore; it's hiring intelligence orchestrators. According to recent Future of Work reports:

  • Exponential Growth: The World Economic Forum (WEF) 2026 update highlights that roles focused on AI, Machine Learning, and Big Data have grown by 45% compared to 2024, cementing them as the fastest-growing fields nationwide.
  • Corporate Adoption: Data published by Gartner earlier this year reveals that over 80% of Fortune 500 companies are now running Generative AI applications in production environments. This has created a massive demand for AI maintenance, ethics, and governance.
  • The Remote Premium: An internal analysis from Mondywork's database (which tracks integrations with major ATS platforms like Greenhouse and Ashby) shows that 73% of US-based AI roles are Remote-First. The average salary for senior specialists in these roles currently exceeds the $140,000 to $180,000 annual range, plus equity.

The 5 Hottest AI Opportunities in 2026

If you want to tailor your resume and LinkedIn profile to be easily captured by modern recruiting algorithms, these are the positions with the highest talent deficit in the US market right now:

1. MLOps and LLMOps Engineers (Operations Engineering)

Large Language Models (LLMs) are like Formula 1 engines: they need a full pit crew to avoid crashing on the track. The industry has realized that putting AI into production is vastly different from running a local model.

  • What they do: Manage infrastructure, oversee the model lifecycle, handle fine-tuning with proprietary company data, and ensure the AI does not suffer from large-scale hallucinations.
  • Hot Search Terms: MLOps, LLMOps, Platform Engineering, Data Ops, Kubernetes for AI.

2. Prompt Engineer & AI Interaction Designer

The profession many thought would be a passing fad has heavily evolved. The 2026 Prompt Engineer is not just someone who "talks well to machines"; they are complex logical system designers.

  • What they do: Sitting at the intersection of Software Engineering and UX Design, these professionals design system prompts for Autonomous Agents, build RAG (Retrieval-Augmented Generation) flows, and structure how AI safely interacts with end-users.
  • Hot Search Terms: Prompt Engineering, NLP, AI Behavior Design, UX Writer for AI.

3. Analytics Engineer / Structured Data Specialist

AI is completely useless without clean data. The classic Data Scientist role has yielded massive ground to the Analytics Engineer, the professional who bridges the gap between raw data engineering and business analysis.

  • What they do: Prepare, model, and transform chaotic data lakes into crystal-clear sources so enterprise AI models can consume data and generate real-time insights.
  • Hot Search Terms: Analytics Engineer, dbt, Snowflake, Computer Vision, BigQuery.

4. AI Product Manager (AI PM)

Companies are tired of building AI features "just because." Now, they need these features to drive serious revenue (ROI). The AI-focused Product Manager is the conductor of this orchestra.

  • What they do: Understand the technical limitations of modern LLMs, translate user pain points into viable AI solutions, and manage the product roadmap while ensuring the technology complies with strict privacy laws (like CCPA and GDPR).
  • Hot Search Terms: AI Product Manager, CPO, Product Ops, AI Governance.

5. AI Growth Marketer / High-Performance Media Buyer

In the digital marketing realm, 2026 is the year of autonomous campaign orchestration. Marketers still relying on 100% manual campaign creation are rapidly losing ground to those who can direct predictive AI.

  • What they do: Leverage Machine Learning and advanced AI tools for autonomous Conversion Rate Optimization (CRO), automated A/B testing, mass content generation, and predictive consumer behavior analysis.
  • Hot Search Terms: Growth Marketing, Media Buyer, Programmatic, AI Copywriting, Martech.

How to Prepare and Get Found (Beating the ATS Filters)

US companies utilize incredibly rigorous Applicant Tracking Systems (ATS) like Workday, Greenhouse, and Lever. They configure recruiting bots to filter resumes using fine-mesh keyword grids.

If you want to land these highly competitive roles, the golden rule is to mirror the exact industry jargon:

  • Don't just write "Data Analyst"; use "Data Ops" or "Analytics Engineer".
  • Don't just list "Cloud Support"; highlight "FinOps", "Cloud Architect", or "Platform Engineer".
  • Replace the outdated "Digital Marketer" with "Growth Ops" or "Performance Manager".

Mondywork Does the Heavy Lifting for You

The US market is fiercely competing for top-tier talent. Startups and tech giants are looking for highly skilled professionals ready to collaborate across different time zones in fully remote environments. That is exactly why Mondywork exists. Our proprietary algorithm scans the largest global Job Boards to find verified, high-paying, and 100% remote Tech, Design, and Marketing opportunities.

Don't miss the chance to ride the biggest technological revolution of our generation.

👉 Subscribe now to Mondywork's Job Alerts


Macroeconomic Reference Sources:

  • World Economic Forum - The Future of Jobs Report 2026 Update.
  • Gartner - Hype Cycle for Artificial Intelligence, 2026.
  • McKinsey Global Institute - The Economic Potential of Generative AI (Revisited 2026).