Head of Product (AI)

TL;DR

Head of Product (AI): Define and drive end-to-end AI product strategy for a proactive AI chat app focused on reliable long-running workflows, persistent context, and real-world task completion with an accent on multi-step reasoning, external tool integration, and handling non-deterministic model behavior. Focus on translating model capabilities into production-ready features, making trade-offs in quality, latency, cost, and reliability, and collaborating closely with ML and engineering teams on design, evaluation, and iteration.

Location: Remote (Singapore)

Company

hirify.global's A1 team is building a proactive AI chat app for everyday users to handle conversations, errands, organizing, and workflows with high reliability.

What you will do

• Own end-to-end AI product strategy grounded in technical feasibility and real-world constraints.
• Translate model capabilities, data limitations, and evaluation results into product decisions and hard trade-offs across quality, latency, cost, reliability, and UX.
• Work daily with ML, backend, and mobile engineers on design, evaluation, iteration, specifications, and prioritization.
• Define success metrics and feedback loops using offline evaluation, online experiments, and human feedback.
• Drive execution to ship AI features quickly, safely, and reliably into production.
• Own AI product quality across UX, correctness, and outcomes.

Requirements

• Strong grounding in computer science fundamentals: algorithms, data structures, system design.
• Solid understanding of ML fundamentals and modern AI systems in production; comfort with technical design documents.
• Hands-on exposure to AI-powered products including LLM-based systems, model evaluation, prompt/pipeline iteration, feedback loops.
• Strong intuition for model limitations, hallucinations, bias, and drift.
• Significant experience owning complex technical products end-to-end; proven collaboration with senior engineers and ML teams.
• Strong judgment and decision-making in ambiguous, fast-moving environments; balance ambition with technical reality.

Nice to have

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

Culture & Benefits

• High talent density, hands-on small world-class team.
• Collective decision-making, rapid speed, balance between high-quality shipping and learning.
• Bring structure, exercise judgment, execute independently.
• Aim to deliver truly magical AI product to users globally.

Hiring process

• Applications evaluated by technical team.
• 3-4 interviews via virtual meetings and/or onsite.
• Prompt decisions with transparency and efficiency; offers for exceptional fits.