COMPANY A1
AI Engineering
TechnicalProductManager,AISystems
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Technical Product Manager, AI Systems at COMPANY A1. Skills: AI Systems, Product Management, ML Systems. Research AI system requirements. Define AI system requirements”
What You'll Achieve.
Product strategy aligns AI capabilities; AI features deliver real value; Decisions balance quality, speed, cost, reliability; Roadmaps and priorities are clear; Fast iteration based on feedback
Industry & Context.
Trade-offs; Decision making
What They're Looking For.
Must Have
Grounding in computer science fundamentals, Solid understanding of ML fundamentals, Comfort reading technical design documents, Hands-on exposure to AI-powered products, Experience working with model evaluation, Significant experience owning complex products, Proven ability to work with engineers
Nice to Have
Experience shipping AI-heavy consumer products, Background as an engineer, Highly technical product manager background, Experience defining evaluation metrics, Intuition for AI UX patterns, Prior experience in zero-to-one environments
What You'll Do.
Research AI system requirements
Define AI system requirements
Translate model capabilities
Define evaluation frameworks
Ensure systems ship quickly
Ensure systems ship safely
Ensure systems ship reliably
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Work with engineers
Process & Methodology
Roadmaps, Prioritization
Full Job Description
COMPANY A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. ROLE This is a deeply technical, hands-on role. Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. You 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. WHAT YOU'LL BE DOING - 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 WHAT YOU WILL NEED TECHNICAL FOUNDATION - Strong grounding 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. AI & ML EXPERIENCE - Hands-on exposure to AI-powered products, including LLM-based systems. - Experience working with model eval
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