Technical Product Manager, Data Insights

We're looking for a Technical Product Manager to own the 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.

Analytics Dashboard, Server APIs, & MCP Query Experiences

• 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.

Roadmap & prioritization

• 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.

Launch & customer enablement

• 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.

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

At Fingerprint, we believe in pay transparency — it's part of how we operate as a distributed, remote-first team.  Salaries are based on function, level, and geographic location, benchmarked against similar stage growth companies. 

Because this role is open across the United States and can be based anywhere our team members work from, the salary range reflects that geographic breadth: $126k - $170k

Some example salaries for specific locations are below:

NYC: $148k - $170k

Chicago: $126k - $145k

Final offer amounts are determined by multiple factors, including the successful candidate's location, experience, and expertise, and may vary from the amounts listed above.