Technical Product Manager

Fingerprint 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.

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

Requirements:

• 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