Fingerprint · 1 month ago
Technical Product Manager
United States
Full-time
Remote
Mid Level
$126K/yr - $170K/yr
3+ years expFingerprint empowers developers to stop online fraud at the source. They are seeking a Technical Product Manager to own setup, configuration, and management workflows for their device intelligence platform, as well as manage the end-to-end data lifecycle for the platform.
Cyber SecurityProperty & Casualty InsuranceSoftwareFraud Detection
No H1B
Responsibilities
Own setup, configuration, and management workflows for our device intelligence platform
Own end-to-end data lifecycle for our device intelligence platform — from how signals are collected in the field, through storage and processing, to the query and reporting experiences our customers and internal teams rely on every day
Partner with product and design to define how users experience Fingerprint or what users can see and do with their Fingerprint device data
Translate customer feedback and internal needs into a prioritized roadmap for our Analytics Dashboard, Server APIs, and MCP experiences — covering setup or query UX, report templates, data freshness SLAs, and export flows
Maintain a clear, well-reasoned roadmap across interconnected surfaces (APIs, Dashboard, MCP Server)
Run quarterly planning, write crisp PRDs, manage dependencies across teams, and communicate trade-offs to stakeholders at all levels
Coordinate with product marketing to plan and execute launches — from go-to-market timing and messaging alignment to post-launch enablement
Own documentation updates and help drive internal- and customer-facing training materials and best practices content, ensuring customers can actually adopt what we ship
Drive the roadmap for how customers and internal teams onboard and set up Fingerprint deployments (org/project/environment setup, keys, SDK/application settings), configure product behavior and controls (rules, policies, allow/deny lists, thresholds, feature toggles where applicable), manage permissions and access (roles, scoped access, key management, auditability), and monitor health and ensure operational reliability (alerts, status/diagnostics, usage & limit visibility, error observability, troubleshooting workflows)
Work with engineering/security to design robust authentication, authorization, and auditability patterns
Keep Dashboard, APIs, and MCP aligned so terminology, capability, and behavior remain coherent
Drive the roadmap for device data collection through our JS Agent — defining instrumentation contracts, managing schema evolution, and ensuring reliable delivery to our Server APIs
Own the complete program across ingestion, storage, and processing, working closely with engineering to balance reliability, cost, and scale
Partner with product and design to define what users can see and do with their device data
Have a deep understanding of big data pipelines and the collection, storage, and query requirements that shape product decisions at scale
Have experience as a PM on data analytics products. Experience with identity, anti-fraud, or data intelligence platforms is a strong plus
Understand APIs as a query and retrieval layer over high-volume behavioral or identity event streams, including filtering by visitor, time range, and metadata flags
Reason about what query capabilities and payload fields matter to enterprise customers, how downstream analytics pipelines consume structured event data, and where API design decisions create long-term friction or stickiness
Be responsible for the smooth completion of our customer migration between major Server API versions
Be familiar with JavaScript data collection mechanisms, rate limiting, latency considerations, regional data residency, authentication patterns, and pagination as product constraints, not just engineering concerns
Qualification
Required
You have a Bachelor's Degree in any discipline, or equivalent work experience. MBA or other advanced degree a plus
You have 3+ years of product management experience, ideally on an existing product incorporating both dashboard and API experiences through a growth or scaling phase
You have enough technical depth to have credible conversations with engineers about APIs, architecture, and system constraints without needing everything translated
You understand API-as-a-product thinking and can define durable object models, versioning strategies, and deprecation policies
You can reason about docs, error messages, SDK ergonomics, and workflow design as core to adoption and success
You have experience managing competing priorities across multiple audiences — individual contributors, managers, and executives — and can drive alignment without direct authority
You have a demonstrated track record of translating customer needs into shipped product, through direct research, sales partnership, or usage data
You have experience defining and tracking product metrics, and using data to prioritize roadmap decisions and separate signal from noise
You have experience making and defending tradeoff decisions under real resource constraints and competing stakeholder demands
You have experience working with sales and marketing on launches, pricing inputs, and positioning, and understand how product decisions affect the commercial motion
You have experience owning documentation updates, migration guides, and operational runbooks for your area of expertise, working with product marketing and customer experience to ensure releases are usable end-to-end with clear communication and rollout plans
You have experience building products for setup, configuration, permissions, and operational management
You can work with engineering/security to design robust authentication, authorization, and auditability patterns
You can keep Dashboard, APIs, and MCP aligned so terminology, capability, and behavior remain coherent
You must have a deep understanding of big data pipelines and the collection, storage, and query requirements that shape product decisions at scale
You have experience as a PM on data analytics products. Experience with identity, anti-fraud, or data intelligence platforms is a strong plus
You understand APIs as a query and retrieval layer over high-volume behavioral or identity event streams, including filtering by visitor, time range, and metadata flags
You can reason about what query capabilities and payload fields matter to enterprise customers, how downstream analytics pipelines consume structured event data, and where API design decisions create long-term friction or stickiness
You are familiar with JavaScript data collection mechanisms, rate limiting, latency considerations, regional data residency, authentication patterns, and pagination as product constraints, not just engineering concerns
Company
Fingerprint
The highest accuracy device identity platform for high-scale applications
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
$77MKey Investors
Nexus Venture Partners,Uncorrelated VenturesCraft VenturesNexus Venture Partners
2023-10-17Series C· $33M
2021-11-03Series B· $32M
2021-02-11Series A· $8M
Leadership Team
Dan Pinto
Co-Founder & CEO
Recent News
Fintech Schweiz Digital Finance News - FintechNewsCH
2026-06-03
Company data provided by crunchbase