AI Product Lead: Agents, Evaluation & Audit-Ready Platform

Jobtailor

Toronto

On-site

CAD 120,000 - 180,000

Full time

3 days ago
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Job summary

Jobtailor is seeking a senior AI-focused product leader to own the applied-science delivery roadmap and coordinate cross-team workstreams for the Caseware AI platform. You will set evaluation baselines, partner with audit professionals, and translate problem statements into concrete requirements and acceptance criteria.

The role requires hands-on expertise in LLMs, RAG, embeddings, and agentic patterns, with a strong bias for high-accuracy AI outputs in regulated contexts.

Qualifications

  • 6+ years of experience in technology-focused product management or product development.
  • 3–4 years working deeply with AI or machine learning–driven products.
  • Proven ability to drive delivery across multiple technical teams and cross-team coordination.
  • Experience defining acceptance bars, running human-in-the-loop validation, and using results to decide what ships.

Responsibilities

  • Own the applied-science delivery roadmap and cross-team orchestration for the AI platform.
  • Define and own product health metrics and evaluation baselines.
  • Shadow audit workflows, validate prototypes, and identify actionable failure modes.
  • Collaborate with domain experts, engineers, and external partner firms to ensure quality outcomes.
  • Make autonomous product decisions and own product outcomes.

Skills

Product management
AI product development
Cross-team collaboration
Delivery leadership
Technical fluency in LLMs

Tools

LLMs
RAG
Embeddings

Job description

Jobtailor is seeking a senior AI-focused product leader to own the applied-science delivery roadmap and coordinate cross-team workstreams for the Caseware AI platform. You will set evaluation baselines, partner with audit professionals, and translate problem statements into concrete requirements and acceptance criteria.

The role requires hands-on expertise in LLMs, RAG, embeddings, and agentic patterns, with a strong bias for high-accuracy AI outputs in regulated contexts.

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