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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.

Skills

• Artificial Intelligence (AI)
• LLM
• ML
• Machine Learning
• Technical Product Manager
• UX
• User Experience

Location

• San Francisco, CA
• Remote

Work Type

• Work From Home
• Remote
• Full-time

Salary/Compensations

• USD 185000 - USD 210000 - yearly

Benefits

• Medical insurance
• Dental
• Vision
• Savings Plan Options
• PTO