Detection Health and Performance team helps customers maintain effective detection as attacker behavior evolves, by investigating suspicious traffic and identifying missed attacks, reducing false positives, building and evaluating detection logic and improving customers' detection health during onboarding and throughout customer's life cycle. In this role, you’ll combine data analysis, technical troubleshooting, and customer-focused communication to understand technical and detection gaps, and share helpful threat insights and recommendations. As part of the role you will work in collaboration with Technical Account Managers, Solutions Engineers, Operations, Research and Engineering teams, helping to maintaining strong security outcomes while protecting legitimate users.
Who you are:
You have a Can-do attitude, collaborative and communicative.
Able to communicate with teams and customers with higher/lower technical skills
Analytical, curious and strength with critical thinking
Attention to detail
Perseverance and patience for complexity
Proactive and self directed
Ability to think on your feet and be adaptable to changes
Fluent English.
At least 2 years of experience: Technical support analyst / Security operations or Threat Analysis / Fraud and Risk analyst / business or data analyst role
(or) a B.A/B.S in domains related to cybersecurity or analysis.
Experience with the following tools:
SQL (Best: Snowflake), BigQuery, Datadog, Tableau, or similar data and visualization tools.
Kibana (or similar experience with log analysis tools)
Test: Write an SQL query based on provided data Jira (or similar experience with another CRM tool)
Bonus: Python, pandas, notebooks, or Streamlit.
Experience building dashboards or reusable investigation tools.
Familiarity with Git, APIs, JSON, and basic scripting.
Ability to use AI-assisted tools responsibly to accelerate analysis and automation
Knowledge: Web architecture: DNS / CDN / GLB, API.
HTTP protocol, including HTTP structure and headers
Cookies (where are they stored, how and why are they used)
Bots and threat landscape - What are bots, why do people or attackers create them, good bots vs bad bots.
Basic JS understanding and familiarity. No need to code.
Skills: Analytical mind and statistical analysis of big data through various tools (like Kibana and SQL).
About HUMAN Security
HUMAN was founded in a Brooklyn sci-fi bookstore with a hacker mindset and the lofty mission of making the internet safer by putting humans first. Today, our Human Defense Platform safeguards enterprises from sophisticated bots, fraud, and account abuse, verifying the humanity of more than 20 trillion interactions per week for the world’s biggest brands and internet platforms.
HUMAN is an equal opportunity workplace dedicated to protecting the internet's integrity for everyone. We believe in putting people first, embracing diversity of thought from our global teams, and welcoming all individuals to share their unique experiences as we fight cybercrime together. We support our Humans with a comprehensive total rewards package for personal and professional development, including well-being and learning stipends, flexible work options, and dedicated time off. While our HQ is in NYC, we have teams worldwide.
HUMAN is growing fast, and there’s never been a more meaningful time to join us. If you thrive on solving complex problems and want to help shape the future of cybersecurity, join us as we build a safer, more human internet.
If you are an individual with a disability or special need that requires accommodation, please contact us directly.
