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About the Role

This deeply technical, hands-on role involves working directly with engineers on system design, evaluation, and trade-offs. You will define requirements and shape how AI systems function for global users, bridging user needs, model capability, and system constraints to turn AI potential into reliable, real-world application behavior.

Responsibilities

Research and define end-to-end Artificial Intelligence (AI) system requirements from capability to behavior to user impact.
Translate model capabilities, data constraints, and evaluation results into clear product and system decisions.
Make hard trade-offs across quality, latency, cost, reliability, and UX.
Work closely with Machine Learning (ML), backend, and mobile engineers on system design, evaluation, and iteration.
Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.
Drive execution with clear specs, strong judgment, and disciplined prioritization.
Ensure systems ship quickly, safely, and reliably, with strong feedback loops.
Own product quality end-to-end correctness, predictability, and user trust.

Requirements

Hands-on exposure to Artificial Intelligence (AI)-powered products, including LLM-based systems.
Artificial Intelligence (AI) experience required.
Experience working with model evaluation, prompt or pipeline iteration, and feedback loops.
Strong intuition for model limitations, hallucinations, bias, and drift.
Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.
Solid understanding of Machine Learning (ML) fundamentals and how modern Artificial Intelligence (AI) systems behave in production.
Comfort reading, reviewing, and discussing technical design documents.
Significant experience owning complex, technical products end-to-end.
Proven ability to work closely with senior engineers and ML teams.
Strong judgment and decision-making ability in ambiguous, fast-moving environments.
Ability to balance ambition with technical and operational reality.
Experience shipping Artificial Intelligence (AI)-heavy consumer products is a plus.
Background as an engineer or highly technical product manager is a plus.
Experience defining evaluation metrics for Machine Learning (ML) systems is a plus.
Strong intuition for Artificial Intelligence (AI) User Experience (UX) patterns and failure handling is a plus.
Prior experience in zero-to-one product environments is a plus.
Must be willing to take a 60-minute coding assessment.

Skills

Artificial Intelligence (AI)
LLM
ML
Machine Learning
UX
User Experience
System Design
Evaluation Frameworks
Product Strategy
Prioritization
Computer Science Fundamentals
Algorithms
Data Structures

Location

San Francisco, CA
Remote

Work Type

Work From Home
Remote
100% Remote

Salary/Compensations

USD 185000 - USD 210000 - yearly

Benefits

Medical insurance
Dental
Vision
Savings Plan Options
PTO

About the Company

We help companies that are looking to hire Technical Product Managers of Artificial Intelligence (AI) Systems for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!