Senior Technical Product Manager - AI Agents, Evals & Reliability, Artificial Intelligence (AI) Required, Work From Home

Parallel Partners•San Francisco, CA

16h•$165,000 - $200,000•Remote

About The Position

We are looking for a Senior Technical Product Manager. This is a deeply technical, hands-on role. The Senior Technical Product Manager will work directly with engineers on systems design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. The Senior Technical Product Manager will work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application. Artificial Intelligence (AI) and Machine Learning (ML) experience are required for this position. This position is 100% Remote.

Requirements

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.
Hands-on exposure to AI-powered products, including Large Language Model (LLM)-based systems.
Experience working with model evaluation, prompt or pipeline iteration, and feedback loops.
Strong intuition for model limitations, hallucinations, bias, and drift.
Significant experience owning complex, technical products end-to-end.
Proven ability to work closely with senior engineers and Machine Learning (ML) teams.
Strong judgment and decision-making ability in ambiguous, fast-moving environments.
Ability to balance ambition with technical and operational reality.
MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

Nice To Haves

Experience shipping AI-heavy consumer products.
Background as an engineer or highly technical product manager.
Experience defining evaluation metrics for Machine Learning (ML) systems.
Strong intuition for Artificial Intelligence (AI) User Experience (UX) patterns and failure handling.
Prior experience in zero-to-one product environments.

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 User Experience (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, including correctness, predictability, and user trust.