Human + AI Squad Lead

plzfix.ai

New York (NY)

Hybrid

USD 180,000 - 300,000

Full time

7 days ago
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Benefits offered by this job

Direct line to founder and clientlead
Define role and shape platform for the

Job summary

plzfix.ai in New York/Paris hybrid seeks a Senior, embedded, client-facing leader who can run a squad of AI agents and human experts inside a client organization to ensure AI changes how work gets done. You own the client relationship, diagnose where AI changes processes, drive adoption, and coordinate between agents, experts and client leadership to deliver measurable outcomes.

This founder-led environment rewards hands-on AI practice, cross-domain collaboration, and a relentless focus on

Qualifications

  • 5+ years in consulting or transformation, including at least one large program you ran, not supported.
  • Daily, hands-on AI practice: you've built things with LLMs that others use, and you can direct technical work without owning it.
  • Management reflexes applied to a new kind of team: you brief, review and coach — and you'll do it with agents in the morning and a senior human expert in the afternoon.
  • Leadership presence across CIO, business head and a skeptical operations lead in the same week.
  • Comfortable being the first of your kind in a founder-led company where the playbook is still being written.
  • Regulated industries, financial services in particular, a plus.

Responsibilities

  • The client relationship: sponsor, steering committee, expectations, and the hard conversations.
  • Diagnose where AI genuinely changes work in that organization, agree measurable outcomes, and hold everyone to them — including us.
  • Drive the change: stakeholder mapping, resistance, role redefinition, manager coaching, adoption metrics reported without spin.
  • The agents: Manage agents the way a good manager runs a team of analysts: clear briefs, context, review, feedback, and a decision on what's good enough to ship.
  • Build prompts, skills and light workflows alongside the client's teams so the agents keep working after the squad moves on.
  • You are accountable for what the agents produce. Not the agents.
  • The orchestration: For every piece of work, decide what goes to an agent, what goes to a human expert, and what needs both.
  • Run the loop: agent output → expert review → client validation → back into the agent's knowledge base.
  • Feed the platform: what worked, what broke, what becomes a reusable playbook for the next squad.

Skills

Consulting leadership
AI expertise
Stakeholder management
Change management
Client leadership

Tools

LLMs

Job description

plzfix.ai · Senior, embedded, client-facing · New York / Paris, hybrid with time at client sites

In one line

You lead a squad made of AI agents and human experts, embedded inside a large company (our client), and you're accountable for one thing: that AI actually changes how that company works.

Why this role exists

plzfix.ai is rebuilding consulting from the inside. We didn't write a point of view on AI — we built a squad of agents that do consulting work every day: research, diagnostics, interviews, RFP responses, delivery support. What's missing is the person who takes that squad into a client, adds the right human experts around it, and leads the whole thing to a result.

Your squad
  • AI agents from the plzfix.ai platform — configured for the client's context, briefed by you, reviewed by you, improved by you.
  • Human experts — from plzfix's network and from the client's own teams, brought in when judgment, relationships or domain depth are needed.
  • You — the lead who decides who does what, holds the quality bar, and faces the client.
What you'll own

The client relationship

  • You are plzfix.ai at the client: sponsor, steering committee, expectations, and the hard conversations.
  • Diagnose where AI genuinely changes work in that organization, agree measurable outcomes, and hold everyone to them — including us.
  • Drive the change: stakeholder mapping, resistance, role redefinition, manager coaching, adoption metrics reported without spin.

The agents

  • Manage agents the way a good manager runs a team of analysts: clear briefs, context, review, feedback, and a decision on what's good enough to ship.
  • Build prompts, skills and light workflows alongside the client's teams so the agents keep working after the squad moves on.
  • You are accountable for what the agents produce. Not the agents.

The orchestration

  • For every piece of work, decide what goes to an agent, what goes to a human expert, and what needs both.
  • Run the loop: agent output → expert review → client validation → back into the agent's knowledge base.
  • Feed the platform: what worked, what broke, what becomes a reusable playbook for the next squad.
Who we're looking for
  • 5+ years in consulting or transformation, including at least one large program you ran, not supported.
  • Daily, hands‑on AI practice: you've built things with LLMs that other people use, and you can direct technical work without owning it.
  • Management reflexes applied to a new kind of team: you brief, review and coach — and you'll do it with agents in the morning and a senior human expert in the afternoon.
  • Leadership presence across CIO, business head and a skeptical operations lead in the same week.
  • Comfortable being the first of your kind in a founder‑led company where the playbook is still being written.
  • Regulated industries, financial services in particular, a plus.
This is not
  • A prompt engineer or AI engineer — we have that side.
  • A traditional consultant with a deck and a workplan. Squads are measured on adoption, not deliverables.
What we offer
  • Direct line to the founder and to client leadership.
  • A role that doesn't exist yet: you define it, and you shape the platform your squad runs on.
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