Arlington, VA, US
8 days ago
Sr. Product Manager-Tech, Workforce Intelligence
Do you want to unlock insights and apply predictive analytics on key risk factors and trends that impact staffing? Workforce Intelligence supports the hiring of 1M+ hourly workers each year globally. We apply a hyper-localized understanding of the conditions driving risk to 2000+ buildings to proactively make recommendations, optimize hiring and cost, and support high-velocity decision making. Partner with engineering, UX, science, and business teams to apply predictive AI and analytics to simplify complex hiring decisions.
The senior product manager - technical for Workforce Intelligence has worked deeply on science and analytical products, including experience with productizing science models that drive insights and simplify decision-making. Bring thought leadership on enhancing interactions and engagement with analytics and insights through chat experiences.

Key job responsibilities
- Partner closely with customers to deeply understand business needs, and synthesize insights into functional requirements, developer-ready user stories, and acceptance criteria.
- Write clear product strategy documents including BRDs and Press Releases/Frequently Asked Questions.
- Create and/or partner with UX on developing wireframes and high-fidelity prototypes.
- Identify and drive new feature development opportunities and provide inputs into roadmap and longer-term planning.
- Own and ensure well executed launches, flexibly jumping in where needed in supporting user acceptance testing, functional testing, and launch communications.

About the team
Workforce Intelligence Product Tech owns a product stack that enables simple discovery of purpose-built apps, delivers a suite of tools to Manage complex hiring decisions at scale and in support of high-velocity decision-making, and delivers chat-based answers to enhance access to the most critical insights and recommendations. We're a team of engineers, technical product management, and UX design that partners with science teams and business customers and stakeholders to simplify complex hiring decisions.
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