Fingerprint
Sr Technical Product Manager, Bot & AI Automation Intelligence
Employer explicitly allows international or location-independent remote work.
Worldwide
Employer listed it 10 days ago · Found 2h ago
First listed 10 days ago and still open.
Salary
$144k–$195k a year
Location
Worldwide
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Product
Stated by the employer in the job description
Remote flexibility
Work from anywhere
The employer explicitly allows candidates to work from anywhere in the world, with no stated country restriction.
What the employer says
- Source listing states candidate location: "Remote"
- Listing states: "Fingerprint is a globally dispersed, 100% remote company."
What Nomaders makes of it
- Confirm with the employer before assuming you can work from another country
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About the role
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 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 have raised $77M and are backed by Craft Ventures ( Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman , Apollo.io, MinIO , Druva) and Uncorrelated Ventures ( Redis, Rollbar, Gradle ).
About the role:
We’re looking for a Senior Technical Product Manager to own the strategy and execution of Fingerprint’s Bot Detection offering in an increasingly AI-automated world — from defining what we detect (and how we classify intent), to shipping customer-facing product experiences, to driving adoption and commercial outcomes.
Responsibilities:
Bot Detection product strategy & roadmap
Set mission, vision, and strategy for Bot Detection as a distinct product line (including how it fits alongside Identification and Smart Signals).
Own the roadmap across detection capabilities, taxonomy/identity models, customer-facing UX, and go-to-market readiness.
Define how we evolve from “bot detection” toward automation + intent intelligence (covering AI assistants, agentic traffic, direct-to-API automation, and emerging adversarial techniques).
Detection capabilities & intelligence (the “what we detect” layer)
Drive the plan for expanding and improving detection coverage (e.g., anti-detect browsers, network and IP intelligence, AI assistant detection, agentic automation patterns).
Partner with Engineering and Data Science to define evaluation methodology, quality targets, and iteration loops (false positives/false negatives, coverage, robustness).
Own the detection taxonomy and classification semantics (e.g., good / bad / unknown automation, spoofed identity patterns, verified/signed bots where relevant).
Translate competitive and threat landscape trends into prioritized detection investments.
“Beyond JS” / edge & server-side automation detection
Drive strategy for our Automation Intelligence API, detecting automation without requiring a browser JS agent , including edge / pre-origin and direct HTTP contexts.
Align data contracts and platform requirements so bot/automation signals are consistent across JS-based and non-JS collection paths.
Customer experience: Dashboard, APIs, and developer workflows
Working with other product managers, define and ship customer-facing product surfaces for Bot Detection:
Dashboard experiences (overview, events, details, export/workflows)
APIs and schema contracts (including compatibility where needed)
Guidance for integrating Bot Detection into rule engines, fraud tooling, and customer decisioning pipelines
Own plan gating / packaging assumptions for self-serve vs enterprise experiences.
Requirements
- ·3+ years experience at, or deep familiarity with, bot management / fraud / abuse platforms (e.g., Cloudflare, Akamai, HUMAN, Arkose Labs, DataDome, PerimeterX, Sift, etc.).
- ·High ownership and strong cross-functional operating cadence (alignment, prioritization, and execution).
- ·Customer empathy and ability to translate customer problems into roadmap and requirements.
- ·Strong data-informed decision making (defining success metrics, reading dashboards, and partnering with Product Analytics / DS).
- ·Comfort with measurement and iteration in detection systems: precision/recall tradeoffs, false positive/false negative analysis, coverage targets, and model/rule iteration loops.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from anywhere, matches where you plan to live and work.
- 2Tailor your CV to the role at Fingerprint, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3h ago via Company boards. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Free to apply, no account needed.
$144k–$195k a year · You'll be taken to the employer's careers page.