Technical Co-founder (CTO) - AI Legal Front Desk

Queen's Park, City of Toronto

On-site

Full-time

No salary postedToday

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Employment type: Full-time · On-site
Posted: October 16, 2026
NOC code: 14101 — Receptionists
Province: Ontario (ON)More in Ontario

Hiring confidence: Sparse posting · 7/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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The Opportunity Solo practitioners and small law firms still lose work the same way: missed calls, slow callbacks, and intake handled between hearings. Hiring is no answer — payroll, training, and turnover are exactly what these firms cannot absorb. Problem and solution validation are complete. Multiple live pilots are entering production evaluation. The next phase is proving in-production reliability, delivery economics, and scalability. The teams that ship credible AI workers into trust-sensi…

This role is based in Ontario. The Canadian NOC code for this position is 14101 — Receptionists. FutureSight Ventures is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Receptionist in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

14101 — Receptionists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.

Typical qualifications for Canadian employers

A high school diploma, a professional phone manner, and familiarity with scheduling software; medical and dental offices often ask for an MOA certificate.

Licensing: No licence is required.

All Receptionist jobs in Ontario

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What you'll do

Design and architect the AI legal front desk platform
Lead technical development and engineering team
Ensure production reliability and system scalability
Evaluate and optimize delivery economics
Oversee transition from pilot to production evaluation
Build trust-sensitive AI systems for legal industry
Drive technical strategy and product roadmap
Validate product-market fit through technical execution

What you'll need

Strong AI/ML expertise or deep learning background
Proven ability to build and scale production systems
Experience architecting complex software platforms
Ability to work in high-stakes, regulated environments
Technical leadership and team building experience
Track record shipping consumer or B2B products
Problem-solving mindset for reliability and scalability