Senior Technical Product Manager, Fingerprint
Bot and AI Agent Detection
$180-193k
More information about location
Device intelligence platform for fraud detection
Open for applications
Device intelligence platform for fraud detection
201-500 employees
Open for applications
$180-193k
More information about location
201-500 employees
Company mission
To power a safe and seamless internet through device intelligence.
Role
Who you are
- 6-10 years of experience in technical product management, ideally in bot detection, fraud prevention, or cybersecurity
- Familiarity with automation detection, fingerprinting, signal pipelines, and browser/mobile SDKs
- Strong understanding of adversarial tactics and classification methods, including ML-based approaches
- Clear track record of roadmap ownership, fast iteration cycles, and writing detailed, developer-friendly specs
- Confidence working across technical and non-technical teams to ship and communicate impactful features
- Experience using product data tools like Amplitude, Sigma, or similar platforms to drive decisions
- Awareness of global privacy regulations and ethical considerations around behavioral tracking
- Role requires proficiency with macOS and comfort working fully remotely using tools such as Slack, Google Workspace, and Zoom
Desirable
- Experience at a bot detection, fraud prevention, or security company (e.g. HUMAN, Arkose, DataDome)
- Contributions to open-source tools or published research in fraud/automation detection
- Deep understanding of AI agents and how they interact with modern apps
What the job involves
- We’re looking for a Senior Technical Product Manager to shape the future of automation and intent detection in a world increasingly powered by AI
- In this role, you’ll own the product lifecycle—from identifying evolving threats and researching new detection techniques, to delivering products that help customers classify traffic, protect digital experiences, and integrate detection insights into security systems
- You’ll work alongside a globally distributed team of engineers, data scientists, and fraud experts
- Lead the product roadmap for bot and AI agent detection, staying ahead of emerging trends in automation and adversarial behavior
- Develop detection capabilities that identify automated traffic, classify intent, and integrate with fraud scoring systems, WAFs, and security platforms
- Partner with engineering, data science, sales engineering, and product analytics to ship features that deliver real-world protection at scale
- Translate customer challenges into clear product requirements and prioritize for impact using frameworks like RICE
- Use tools like Amplitude, Sigma, and Preset to inform decisions with product usage and performance data
- Collaborate with customers—particularly security, fraud, and risk teams—to deeply understand their workflows and needs
- Ensure detection capabilities are privacy-conscious and compliant with global standards (e.g., GDPR, CCPA)
- Communicate how detection features work and where they drive value—both internally and externally
Our take
Digital fingerprinting is an essential process in web browsers that tracks the digital address of a device to monitor web activity. This technique facilitates the identification of fraud and spam, as well as warning signs of account takeovers. However, the success of this requires users to accept cookies, a requirement that is easy to avoid.
Fingerprint provides a digital fingerprinting tool that generates a unique identifier of browser activity without requiring the user to accept cookies. The service uses the same WebGL and canvas fingerprinting utilized by existing competitors, but instead of focusing on devices, it identifies web activity. Suspicious activity will result in the identified user being logged in a database, allowing the service to be improved for others.
With this innovative approach, Fingerprint has been able to build up an impressive client roster of over 6,000 companies, including 16% of the top 500 websites by traffic. As well as displaying sustained growth through funding rounds, the company has also continued to improve upon its offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2023
$33m
SERIES C
Nov 2021
$32m
SERIES B
Total funding: $77m
Company benefits
- Competitive salary: We offer competitive salaries and equity because we believe all employees should own a part of Fingerprint.
- Flexible Time Off: To prioritize work-life balance, we even have a minimum vacation days target to encourage everyone gets the rest they need.
- Remote-first: We work asynchronously and respect time-zone differences. Choose where and when you do your work best.
- Tech: We hook you up with a MacBook so you can do your best work (you get to keep it after 4 years).
- Culture: We're a small team with a lean hierarchy where you can make a real impact in shaping the company culture. Come grow with us!
- Fun: We meet up as a company once a year (We went to Mexico City in 2023!) and teams meet up in smaller groups throughout the year.
- Grow With Us: We want you to grow with us, so we offer a $600 yearly budget that you can spend to learn new stuff.
- Personal Development: We give you the freedom to grow and experiment. Work on open-source projects and try new things and ideas.
Company HQ
Little Italy, Chicago, IL
Leadership
Valentin Vasilyev
(Co-FOunder & CTO)Valentin worked as a Software Engineer for the first 9 years of their career, before holding Team Lead roles at Evrone and Machinio.com. They left this role in March 2019 to co-found Fingerprint the following month.
Dan Pinto
(Co-Founder & CEO)Previously co-founded Machino, where they were CTO, and has experience in Software Engineering.
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