Product Manager II

Indeed•Remote,

2d•$125,000 - $259,000

About The Position

The Product Manager II, Onboarding & Trust owns the strategy, roadmap, and delivery for how new users get started with GD Recruiter. The role makes onboarding easier while helping users understand the product, share their experience, set preferences, and receive relevant matches. It also builds trust and captures information that helps job seekers reach the right employers. As a senior individual contributor, this person helps shape AI strategy across the job seeker funnel. They bring deep AI product expertise to guide cross-team decisions, partnering with engineering, design, data science, and product colleagues to test ideas and improve experiences and outcomes.

Requirements

At least 10 years of related experience; or at least 8 years with a Bachelor’s degree; or 6 years with a Master’s degree; or 3 years with a PhD.
Experience working closely with engineers to define, plan, and deliver products and features across complex problem spaces.
Experience balancing customer needs, business priorities, and technical considerations in product decisions.
Data-driven mindset and experience using insights, experimentation, and metrics to guide prioritization and product improvements.
Curiosity about and accountability for product data and insights.
Deep AI product expertise, with demonstrated ability to shape strategy and deliver AI-powered experiences that improve user outcomes.
Sound judgment about AI capabilities and limitations, including grounding, evaluation, reliability, privacy, and trade-offs among quality, speed, and cost.

Responsibilities

Partner with engineering teams and other interested parties to define product strategy, prioritize roadmaps, and deliver scalable solutions aligned with broader business objectives.
Communicate product vision, roadmap direction, priorities, and tradeoffs to leadership, collaborators, and interested parties to drive alignment and informed decision-making.
Advocate for and represent customer needs, opportunities, and product requirements internally while balancing business and technical considerations.
Identify, define, and monitor product goals, success metrics, and long-term outcomes to measure impact and guide prioritization.
Drive product discovery and execution using experimentation, data insights, and customer feedback to inform decisions and optimize product performance.
Partner across teams to influence product direction, navigate ambiguity, and support delivery across interconnected initiatives.
Provide written and verbal updates on roadmap progress, risks, priorities, and outcomes to leadership and collaborators.
Help shape AI strategy across the job seeker funnel and work with engineering, design, data science, and product partners to test ideas and improve experiences and outcomes.