Senior Web Browser Researcher - Fingerprint

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.

Fingerprint is a globally dispersed, 100% remote company. We were named on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

We are looking for a Senior Web Browser Researcher to push the accuracy and stability of Fingerprint's core identification and fraud-detection products. You'll independently discover, validate, and drive to production new device-identification and bot-detection techniques in modern web browsers — owning findings from first signal through engineering implementation.

Responsibilities

• Independently research novel device-identification, visitor-identification, Smart Signals, and bot-detection techniques across modern browsers, thriving where requirements are not fully defined.
• Own findings end to end: assess whether a signal is genuinely actionable within real-world constraints (performance budget, execution context, same-site and proxy implications, interaction with existing signals), back the assessment with data, and deliver a clear recommendation with impact estimates.
• Stay engaged through implementation — review engineering's changes against the research intent, answer questions as they surface, and advise on edge cases.
• Build and maintain research tooling (observers, fuzzers, scrapers) that surfaces new signals and detects browser platform changes automatically.
• Track browser changes ahead of release — following beta/canary/dev channels and spec/RFC discussions — and translate them into product impact and action.
• Produce and share structured, actionable research articles and outputs, internal write-ups, proofs of concept, and experimental signal implementations.

Requirements

• Deep understanding of web platform fundamentals, browser internals, and web security concepts.
• Strong proficiency in JavaScript, and the ability to read, comprehend, and navigate code across multiple programming languages.
• Solid grasp of web networking fundamentals.
• Proven ability to uncover and explain undocumented behavior of web technologies, APIs, and protocols through testing, debugging, and reverse engineering.
• Track record of independently driving research from idea to a validated, actionable result.
• Recognized depth in at least one area (e.g., reverse engineering, network-related research, or identification), with working breadth across adjacent areas.
• Clear communication of findings, impact, and trade-offs to engineering and product partners.

Preferred Qualifications

• Experience building research and automation tooling (scrapers, fuzzers, observers).
• Track record of submitting issues to Chromium, Firefox, or WebKit bug trackers.
• Experience and interest in backend development (we use Go at Fingerprint).
• Familiarity with anti-fingerprinting approaches and how they are applied across browsers and extensions.
• A public research footprint — conference talks, blog posts, CVEs, or open-source contributions.