Technical Co-founder (CTO) - AI staffing platform
FutureSight • Seattle, Washington, United States • Canada
Posted: April 21, 2026
Job Description
About Us
LexStaffing is building a managed AI staffing platform for solo practitioners and small law firms. Our first hire, Ava, is an AI Front Desk that answers calls 24/7, captures structured intake, books consultations, and performs outbound callbacks—without creating new operational burden for the lawyer.
LexStaffing is deliberately not a self-serve SaaS tool. It is a RaaS (Role-as-a-Service) model: Ava is positioned as a staff hire, fully set up, trained, monitored, and improved by LexStaffing. Lawyers evaluate us on outcomes—time saved, calls answered, consults booked—not configuration effort.
Problem and solution validation are complete. Multiple live pilots are entering production evaluation. The next phase is proving in-production technical reliability, delivery economics, and scalability.
The product is already validated conceptually. The challenge now is making it work flawlessly in production.
Role & Responsibilities
- Commitment as a Strategic Co-Founder: The successful candidate will operate as a dedicated partner focused on sustainable equity appreciation and long-term organizational value, rather than prioritizing immediate high-level compensation.
- Lead with Reliability over Novelty: Architect and maintain "Ava’s" voice and workflow systems with an obsessive focus on uptime and latency. You value a system that works every time over a "clever" demo that fails in the field.
- Architect the RaaS Delivery Layer: Design the internal infrastructure that enables our team to configure, monitor, and optimize AI performance behind the scenes, ensuring we scale the service without increasing engineering headcount.
- Own the Technical Unit Economics: Directly manage the trade-offs between AI quality and cost-per-call. You are responsible for ensuring the technical architecture remains highly profitable within our $499/month pricing model.
- Exercise High-Stakes Judgment: Navigate technical uncertainty with a steady hand. You are expected to say "this won't scale" or "this isn't ready" when necessary to protect the integrity of the product and the trust of our users.
- Drive a Deep Ownership Mindset: Take full accountability for the end-to-end technical lifecycle—from the first line of code to the final outcome of a live pilot—motivated by building a tool that lawyers depend on for their livelihood.
- Master Scope & Feasibility: Partner with the Founder to define the product roadmap, aggressively cutting features that threaten delivery or economics while doubling down on those that solve the lawyer’s "operational burden."
- Scale the Engineering Culture: Build and lead a lean, high-leverage technical team. You will set the standard for code quality, logging, and audit trails so that every AI outcome is explainable and reviewable.
- Strategic Technical Storytelling: Act as the technical face of LexStaffing during fundraising and due diligence, translating complex voice AI and telephony architecture into a compelling vision for investors and partners.
- 6+ years of hands-on software engineering experience.
- Direct experience with voice systems, conversational AI, or real-time AI workflows.
- Experience deploying LLM-powered systems into production, not just prototypes.
- Capability to architect and implement the strategy for building and self-hosting custom models over time to meet legal/privacy needs.
- Strong understanding of:
- Reliability engineering
- Human-in-the-loop systems
- Edge-case management
- Experience building service-heavy or managed platforms, not just pure SaaS.
- Comfort working closely with business leadership and owning delivery outcomes.
- Good to have:
- Experience in legal tech, healthcare, or other trust-sensitive verticals.
- Experience running production systems with real-world users under time pressure.
- Prior founder or early-stage leadership experience.
Additional Content
About Us
LexStaffing is building a managed AI staffing platform for solo practitioners and small law firms. Our first hire, Ava, is an AI Front Desk that answers calls 24/7, captures structured intake, books consultations, and performs outbound callbacks—without creating new operational burden for the lawyer.
LexStaffing is deliberately not a self-serve SaaS tool. It is a RaaS (Role-as-a-Service) model: Ava is positioned as a staff hire, fully set up, trained, monitored, and improved by LexStaffing. Lawyers evaluate us on outcomes—time saved, calls answered, consults booked—not configuration effort.
Problem and solution validation are complete. Multiple live pilots are entering production evaluation. The next phase is proving in-production technical reliability, delivery economics, and scalability.
The product is already validated conceptually. The challenge now is making it work flawlessly in production.
Role & Responsibilities
- Commitment as a Strategic Co-Founder: The successful candidate will operate as a dedicated partner focused on sustainable equity appreciation and long-term organizational value, rather than prioritizing immediate high-level compensation.
- Lead with Reliability over Novelty: Architect and maintain "Ava’s" voice and workflow systems with an obsessive focus on uptime and latency. You value a system that works every time over a "clever" demo that fails in the field.
- Architect the RaaS Delivery Layer: Design the internal infrastructure that enables our team to configure, monitor, and optimize AI performance behind the scenes, ensuring we scale the service without increasing engineering headcount.
- Own the Technical Unit Economics: Directly manage the trade-offs between AI quality and cost-per-call. You are responsible for ensuring the technical architecture remains highly profitable within our $499/month pricing model.
- Exercise High-Stakes Judgment: Navigate technical uncertainty with a steady hand. You are expected to say "this won't scale" or "this isn't ready" when necessary to protect the integrity of the product and the trust of our users.
- Drive a Deep Ownership Mindset: Take full accountability for the end-to-end technical lifecycle—from the first line of code to the final outcome of a live pilot—motivated by building a tool that lawyers depend on for their livelihood.
- Master Scope & Feasibility: Partner with the Founder to define the product roadmap, aggressively cutting features that threaten delivery or economics while doubling down on those that solve the lawyer’s "operational burden."
- Scale the Engineering Culture: Build and lead a lean, high-leverage technical team. You will set the standard for code quality, logging, and audit trails so that every AI outcome is explainable and reviewable.
- Strategic Technical Storytelling: Act as the technical face of LexStaffing during fundraising and due diligence, translating complex voice AI and telephony architecture into a compelling vision for investors and partners.
- 6+ years of hands-on software engineering experience.
- Direct experience with voice systems, conversational AI, or real-time AI workflows.
- Experience deploying LLM-powered systems into production, not just prototypes.
- Capability to architect and implement the strategy for building and self-hosting custom models over time to meet legal/privacy needs.
- Strong understanding of:
- Reliability engineering
- Human-in-the-loop systems
- Edge-case management
- Experience building service-heavy or managed platforms, not just pure SaaS.
- Comfort working closely with business leadership and owning delivery outcomes.
- Good to have:
- Experience in legal tech, healthcare, or other trust-sensitive verticals.
- Experience running production systems with real-world users under time pressure.
- Prior founder or early-stage leadership experience.