Note: The job is a remote job and is open to candidates in USA. Fingerprint empowers developers to stop online fraud at the source. They are seeking a Senior Technical Product Manager to own the strategy and execution of Fingerprint’s Bot Detection offering, focusing on product strategy, customer experience, and commercial outcomes.
Responsibilities
- 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)
- 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
- 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
- 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
- Partner with Sales, CS, and Marketing to: Define value messaging and positioning, Run beta/research preview motions and customer feedback loops, Drive launch planning and enablement
- Work cross-functionally on pricing/packaging inputs and operational readiness (while partnering with the owning teams for billing implementation)
- Operate as the 'single-threaded owner' across Product, Engineering, Data Science, Design, GTM, and Customer Success
- Run quarterly planning, define clear milestones, manage dependencies, and communicate tradeoffs
Skills
- 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
- Familiarity with privacy and regulatory constraints (e.g., GDPR/CCPA) as applied to detection signals; ability to drive privacy-preserving product requirements
- Deep understanding of web technologies and automation techniques (browser + API automation), and how detection systems behave under adversarial pressure
- Understanding of network and IP intelligence, including residential proxies and modern spoofing and tampering techniques
- Familiarity with detection signal pipelines (client-side instrumentation, server-side ingestion, feature engineering) and operating constraints (latency, scale, robustness)
- Experience with build vs buy evaluations in security/detection domains (and translating the outcome into an execution plan)
- Familiarity with privacy/security constraints and global compliance considerations (e.g., GDPR/CCPA) as applied to detection signals
- Experience building products that combine heuristic + ML approaches, and defining measurement for both
Benefits
- 100% remote company
- For US-based employees, the cash base compensation range for this role is $144,000 - $195,000.
- We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies.
- We share salary ranges on all job postings regardless of desired hiring location.
- Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.
- Fingerprint is an all-remote company and people can join our workforce from almost any country.
- We do not sponsor visas.
- Fingerprint teammates need to be authorized to work from their home location.
- We are dedicated to creating an inclusive work environment for everyone.
- We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace.
- Fingerprint strives to foster an environment where our employees feel respected, valued and empowered.
- We highly encourage people from underrepresented groups in tech to apply.
Company Overview