
Job Overview
Location
Canada
Job Type
Full-time
Category
Product Management
Date Posted
May 12, 2026
Full Job Description
📋 Description
- • Lead AI Product Manager at Textlayer Inc., owning client engagements end-to-end to ensure the right AI system gets built for PE-backed portfolio companies in compliance, financial services, FP&A, and logistics.
- • Drive the Align → Build → Grow methodology: run discovery calls, define measurable success criteria, scope AI ambitions into eval-ready requirements, and manage production handoff and post-launch growth based on real usage data.
- • Collaborate as a peer with senior engineers on technical deep dives into RAG, agent architectures, and eval rubrics, while maintaining strong client relationships with stakeholders like CFOs who are skeptical of AI.
- • Shape and scale Textlayer’s product methodology by codifying engagement artifacts, mentoring junior PMs, and defining what eval-driven product work looks like in high-stakes, regulated industries.
🏖️ Benefits
- • Opportunity to own client engagements end-to-end and compress five years of AI PM learning into one year
- • Work with a small remote team building production-grade AI systems for high-impact industries including compliance, financial services, FP&A, and logistics
- • Shape and scale a methodology for eval-driven AI product work that will influence how the team operates as it grows
- • Mentor junior PMs and help raise the bar for what product work looks like at an early-stage AI services company
- • Engage deeply with technical teams on real AI systems, improving your ability to reason about architecture, evals, and production behaviour
Skills & Technologies
About Textlayer Inc.
Textlayer is a San Francisco-based generative AI startup that builds retrieval-augmented generation infrastructure for enterprises. Its platform ingests proprietary documents, applies domain-specific embeddings, and exposes a managed API that lets applications retrieve accurate, citation-backed answers without exposing source data. The company targets regulated industries, offering SOC 2-compliant hosting, on-premise deployment options, and fine-tuning tools so customers can embed state-of-the-art large language models into support, research, and compliance workflows while maintaining data residency and audit trails.
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