I'm building McKinsey for AI.
It's called Tenex & it's the established organization's Chief AI Officer.
"McKinsey is McKinsey for AI" I hear you muttering under your breath.
Here's the truth most big consultancies don't want you to know. Most consultants don't know shit about AI or technology.
They're not engineers. They haven't built companies. They haven't lived the pains of their clients.
How do I know this? I've spoken to dozens of consultants at these consultancies(!) that say so.
We’re growing revenue faster than venture-backed software businesses, have an insane team, and need to scale headcount ASAP.
First, we're looking for an AI Strategist.
You have one job. Make our clients happy AF.
What does that look like? A combo of strategy & engineering work that helps a business realize their potential with AI.
Must haves:
1) Abilities of a 10x engineer. You should be a high-performing generalist with a specialty in some part of the stack. You know who you are.
2) Communication skills of a top strategic seller. Confident orator, active listener, consultative relationship-builder.
3) Your oven (IQ) burns hot, but your fire (motivation) burns even hotter.
4) Yes, we are looking for a unicorn.
More info about Tenex & the roles...
Tenex (sry, we don't have a site...too busy building for clients).
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Full‑time · Hybrid (NYC preferred)
Tenex is a Chief AI Officer for forward-thinking mid-market & enterprise companies. We’re a full-stack strategic technology partner that helps you identify the highest ROI AI opportunities in your business, set your transformation strategy, and execute through a combination of technology & change management offerings.
Be the voice of our client—translate their goals into reality by uncovering bottlenecks and inefficiencies, aligning stakeholders, and executing change‑management and software‑implementation plans that unlock AI‑driven leverage.
Scope | How it shows up |
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AI Strategy Audits | Lead 2‑ to 4‑week diagnostic engagements to map workflows, quantify pain points, surface data assets, and prioritize the highest‑ROI use‑cases for AI. Deliver an executive‑ready audit that ranks opportunities by impact × effort and includes a phased roadmap. |
Product‑Strategy Sprints | When a pain point is known but the path forward isn’t, orchestrate a focused deep dive—customer interviews, rapid prototyping, and implementation planning—to converge on a solution the client can green‑light in weeks, not quarters. |
Workflow Automation & Build | Pair with Forward‑Deployed Engineers to stand up automated or AI‑driven workflows using off‑the‑shelf SaaS, low‑code platforms, or Tenex’s internal tools. When needed, roll up your sleeves in Python, SQL, or Zapier to ship an MVP. |
Change Management & Enablement | Design and run training workshops that turn “cool demo” into daily habit. Measure adoption, iterate on UX, and equip champions inside the client org to sustain momentum. |
Stakeholder Management | Engage directly with C‑suite executives, line‑of‑business owners, and end‑users to keep objectives clear, risks surfaced, and value creation undeniable. |
Thought Leadership | Feed field insights back into Tenex Labs, publish playbooks, and speak at industry events to cement Tenex as the “McKinsey for AI.” |
Earn between $160,000 and $500,000 annually, directly tied to the revenue that you and your team produce.
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