Technical Product Manager, Data Insights

Summary

Fingerprint empowers enterprises to detect and stop online fraud with its device intelligence platform. The company is seeking a Technical Product Manager to own the end-to-end data lifecycle for the platform, including data collection, storage, processing, querying, reporting, roadmap prioritization, and launch enablement across analytics, APIs, and MCP experiences.

Responsibilities

• Partner with product and design to define what users can see and do with their device data
• Translate customer feedback and internal needs into a prioritized roadmap for our Analytics Dashboard, Server APIs, and MCP experiences — covering query UX, report templates, data freshness SLAs, and export flows
• Responsible for the smooth completion of our customer migration between major Server API versions
• Maintain a clear, well-reasoned roadmap across four interconnected surfaces (JS Agent, Server 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
• Work across engineering, PMM, and customer success to keep education artifacts current and sequenced with the release calendar

Skills

• * **Big data pipelines:** You have a deep understanding of big data pipelines and the collection, storage, and query requirements that shape product decisions at scale
• * **Data analytics products:** You have experience as a PM on data analytics products
• * **Experience with event-level data APIs:** 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
• * **API-as-data-product thinking:** 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
• * **Server-side API fluency at scale:** you are familiar with rate limiting, regional data residency, authentication patterns, and pagination as product constraints, not just engineering concerns
• * **Education:** You have a Bachelor's Degree in any discipline, or equivalent work experience
• * **Product experience:** You have 3+ years of product management experience, ideally on an existing product through a growth or scaling phase
• * **Technical fluency:** You have enough technical depth to have credible conversations with engineers about APIs, architecture, and system constraints without needing everything translated
• * **Stakeholder navigation:** You have experience managing competing priorities across multiple audiences — individual contributors, managers, and executives — and can drive alignment without direct authority
• * **Customer focus:** You have a demonstrated track record of translating customer needs into shipped product, through direct research, sales partnership, or usage data
• * **Data fluency:** You have experience defining and tracking product metrics, and using data to prioritize roadmap decisions and separate signal from noise
• * **Roadmap ownership:** You have experience making and defending tradeoff decisions under real resource constraints and competing stakeholder demands
• * **Go-to-market partnership:** You have experience working with sales and marketing on launches, pricing inputs, or positioning, and understand how product decisions affect the commercial motion
• Experience with identity, anti-fraud, or data intelligence platforms is a strong plus
• MBA or other advanced degree a plus

Qualifications

Must Haves

• * **Big data pipelines:** You have a deep understanding of big data pipelines and the collection, storage, and query requirements that shape product decisions at scale
• * **Data analytics products:** You have experience as a PM on data analytics products
• * **Experience with event-level data APIs:** 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
• * **API-as-data-product thinking:** 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
• * **Server-side API fluency at scale:** you are familiar with rate limiting, regional data residency, authentication patterns, and pagination as product constraints, not just engineering concerns
• * **Education:** You have a Bachelor's Degree in any discipline, or equivalent work experience
• * **Product experience:** You have 3+ years of product management experience, ideally on an existing product through a growth or scaling phase
• * **Technical fluency:** You have enough technical depth to have credible conversations with engineers about APIs, architecture, and system constraints without needing everything translated
• * **Stakeholder navigation:** You have experience managing competing priorities across multiple audiences — individual contributors, managers, and executives — and can drive alignment without direct authority
• * **Customer focus:** You have a demonstrated track record of translating customer needs into shipped product, through direct research, sales partnership, or usage data
• * **Data fluency:** You have experience defining and tracking product metrics, and using data to prioritize roadmap decisions and separate signal from noise
• * **Roadmap ownership:** You have experience making and defending tradeoff decisions under real resource constraints and competing stakeholder demands
• * **Go-to-market partnership:** You have experience working with sales and marketing on launches, pricing inputs, or positioning, and understand how product decisions affect the commercial motion

Nice to Haves

• Experience with identity, anti-fraud, or data intelligence platforms is a strong plus
• MBA or other advanced degree a plus

Benefits

• 100% remote company
• Globally dispersed team