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As a Product Manager on the Applied AI team at Mercor, you’ll own one of the most critical scopes in the company. You’ll operate with extreme independence, solving problems that have no playbook and driving initiatives that shape how the world’s leading AI labs source talent and train frontier models. You’ll collaborate directly with engineering and leadership, making product decisions that tie directly to strategy, business outcomes, and user needs. You’ll balance visionary bets with hard metrics, and you’ll move seamlessly between strategic direction-setting and hands-on execution. This role is best for someone who thrives on ambiguity, embraces ownership, and adds massive leverage to both leadership and engineering teams.
Job Responsibility:
Drive product strategy, execution, and outcomes within your scope
Translate high-level company goals and ambiguous business contexts into concrete product roadmaps
Collaborate directly with engineers, writing specs, reasoning about tradeoffs, and making decisions that unblock progress
Talk to users frequently, synthesize their needs, and balance user input against strategic priorities
Define and own metrics while ensuring long-term vision isn’t constrained by short-term data
Operate independently, owning end-to-end outcomes without needing established processes or policy frameworks
Build interfaces that reduce average handling time (AHT) for thousands of experts
Scale production of frontier data types
Work closely with frontier labs to support AI research
Requirements:
High Ownership: take full accountability for outcomes, not just outputs
Independence: able to self-direct in ambiguous contexts, creating clarity for others
Technical Fluency: comfortable building scrappy MVPs yourself when needed to validate direction, unblock engineering, or accelerate iteration
Strategic Vision: strong ability to connect user needs and business context to long-term product direction
User-Centric Judgment: talks to users frequently, but knows when to inference beyond what’s said and when to say no
Balance of Metrics & Vision: equally comfortable running rigorous experiments and pushing forward visionary bets
Leverage: work magnifies the impact of engineering and leadership teams