Staff Product Manager - Analyst Experiences

We are looking for a Staff Product Manager to join our Singularity Data Lakes Unified Analyst Experiences Product team. , Singularity Data Lake empowers organizations worldwide to centralize and transform their data into actionable intelligence for real-time investigation and response with our AI-driven, unified Data Lake. Join us and be a part of one of fastest-growing product lines, contributing to the future of our Security AI platform.

Being part of the Unified Analyst Experiences Product team means that you will directly impact SOC Analysts, Threat Hunters, Security Administrators, and Incident Responders worldwide who use Singularity Data Lake to effectively triage, investigate, and respond to cyber threats. In this specific role, you will lead the zero-to-one launch of new capabilities that increase the productivity of security teams. You will drive strategy, roadmap, and launch for all capabilities related to analyst experiences. This is a very visible and hands-on PM role where you will interact with leaders, engineering, sales, marketing, peers in product management, and most importantly, customers.

What will you do?
Define the minimum remarkable product (MRP) for capabilities related to analyst experiences, including SOC workflows, that are needed to delight customers and exceed their expectations.
Establish priorities for what features we should build, when we should build them, and why.
Write requirements documents defining the customer value proposition and customer experience.
Manage the release, features, workflows, and its pricing, and packaging.
Coordinate go-to-market efforts, documentation, and associated enablement in collaboration with product marketing, documentation, sales, and sales engineering.
Support product marketing efforts with inputs on content and marketing strategy.
Engage cross-functionally with customers, partners, sales engineers, and solution architects to collect requirements and build trust.
Develop an understanding of multiple customer profiles by speaking frequently with customers and prospects.
Assess the competitive landscape and how stacks up against competitors.
Analyze usage trends associated with the product and features and make data-driven decisions based on the analysis.