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 Technical Product Manager to own the end-to-end data lifecycle for their device intelligence platform, collaborating with product and design teams to enhance user experiences and manage product roadmaps.
Responsibilities
- Own end-to-end data lifecycle for our device intelligence platform
- Partner with product and design to define how users experience Fingerprint
- Translate customer feedback and internal needs into a prioritized roadmap for our Analytics Dashboard, Server APIs, and MCP experiences
- 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
- Own documentation updates and help drive internal- and customer-facing training materials and best practices content
- Drive the roadmap for device data collection through our JS Agent
- Define instrumentation contracts, manage schema evolution, and ensure reliable delivery to our Server APIs
- Own the complete program across ingestion, storage, and processing
- 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
- Have experience as a PM on data analytics products
- Understand APIs as a query and retrieval layer over high-volume behavioral or identity event streams
- Reason about what query capabilities and payload fields matter to enterprise customers
- 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
Skills
- You have a Bachelor's Degree in any discipline, or equivalent work experience
- 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 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
- 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
- MBA or other advanced degree a plus
- Experience with identity, anti-fraud, or data intelligence platforms is a strong plus
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