Technical Product Manager, AI Systems

Protingent; Washington; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Protingent is seeking a Technical Product Manager, AI Systems for a direct-hire, fully remote role. You will work directly with engineers on system design, evaluation, and trade-offs, defining requirements to shape how the system works for global users.

You will sit at the intersection of user needs, model capability, and system constraints, turning AI potential into reliable real-world behavior, aligning strategy with company priorities and delivering features that are valuable, understandable,

Qualifications

• Strong foundation in algorithms, data structures, and system design.
• Solid understanding of ML fundamentals and how modern AI systems behave in production.
• Comfort reading, reviewing, and discussing technical design documents.
• Hands-on experience with AI-powered products, including 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 ML teams.
• Strong judgment and decision-making ability in ambiguous, fast-moving environments.
• Ability to balance ambition with technical and operational reality.

Responsibilities

• Research and define end-to-end 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 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.
• Align product strategy with AI capabilities, user needs, and company priorities.
• Deliver features that are real value, understandable, predictable, and trusted by users while balancing quality, speed, cost, and reliability.

Skills

CS fundamentals

ML fundamentals

Technical design review

Hands-on AI products

Model evaluation & feedback loops

Decision making in ambiguity

Collaboration with engineers

System design thinking

Prompt/pipeline iteration

AI UX understanding

Job description

Job Title

Technical Product Manager, AI Systems

Job Description

This direct‑hire, fully remote role is deeply technical and hands‑on. You will work directly with engineers on system design, evaluation, and trade‑offs, defining requirements to shape how the system works for global users. You will sit at the intersection of user needs, model capability, and system constraints, turning AI potential into reliable real‑world behavior.

Responsibilities

• Research and define end‑to‑end 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 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.
• Align product strategy with AI capabilities, user needs, and company priorities.
• Deliver features that are real value, understandable, predictable, and trusted by users while balancing quality, speed, cost, and reliability.

Qualifications

• Strong foundation in computer science fundamentals, including algorithms, data structures, and system design.
• Solid understanding of ML fundamentals and how modern AI systems behave in production.
• Comfort reading, reviewing, and discussing technical design documents.
• Hands‑on experience with AI‑powered products, including 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 ML teams.
• Strong judgment and decision‑making ability in ambiguous, fast‑moving environments.
• Ability to balance ambition with technical and operational reality.

Nice to Have

• Experience shipping AI‑heavy consumer products.
• Background as an engineer or highly technical product manager.
• Experience defining evaluation metrics for ML systems.
• Strong intuition for AI UX patterns and failure handling.
• Prior experience in zero‑to‑one product environments.

Job Details

• Job Type: Direct Hire
• Pay Range: Market Rate
• Location: Fully Remote