TL;DR

Staff Product Manager (Data Platform): Evolving the Data Lake platform services with an accent on strengthening security & compliance and providing delightful customer experiences. Focus on identifying, designing, experimenting, and iterating on product capabilities leveraging customers/end users’ feedback, behavioral customer data, and market research.

Location: Mountain View, California

Salary: $180,500-$244,000

Company

%hirify_global% is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

Deeply understand customer problems and needs leveraging follow-me-home research, usability studies, first-hand interviews, customer feedback, experiments, and usage/adoption metrics.
Set a clear vision, define your roadmap and share it with cross-functional teams.
Prioritize the team’s backlog to ensure maximum customer impact.
Identify, design, experiment, and iterate on product capabilities leveraging customer and end-user feedback, behavioral customer data, and market research.
Define and analyze key success metrics to support and inform product decisions.
Drive product development with cross-functional teams to deliver high-impact customer experiences quickly.

Requirements

Experience in one or more of the following: user behavior data collection capabilities (realtime, clickstream), data access management, data lake, data mesh, data lineage to solve data problems for customers.
5+ years of experience as a Product Manager in a modern, data-driven environment.
Experience in building self-serve products from scratch, specifically products for data definition, SDKs, and APIs for software developers.
Strong ability to think through unifying elements and common denominators, dream up user workflows & interfaces, translate it all into engineering-ready user stories, and work with product designers to create self-serve products.
Familiarity with Big Data frameworks and Domain Driven Design approaches to data as a product.
Undergraduate degree required in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline (equivalent professional experience will be considered); advanced degree a plus.

Culture & Benefits

Competitive compensation package with a strong pay for performance rewards approach.
Eligible for a cash bonus, equity rewards and benefits.