--- title: "AI Engineering Manager: Coach & Mentor | Marian Kamenistak" description: "1:1 coaching and mentoring for AI engineering managers. Leading a team of AI engineers today, running agentic teams by 2027. Review standards, span, token budgets. Public pricing." url: "https://www.marian.coach/ai-engineering-manager-mentor/" lang: "en" image: "https://www.marian.coach/_astro/talk-14.ruPaUQqD_Z14uwc.jpg" --- AI Engineering Manager # AI Engineering Manager Coach & Mentor. For the manager whose title means two jobs, and only one of them exists yet. ![Marian Kamenistak speaking with a microphone at an Engineering Leaders Community event, hand raised mid-gesture.](https://www.marian.coach/_astro/talk-14.ruPaUQqD_Z1LWgAI.webp) An AI engineering manager leads people, technology, and AI agents at the same time, and most companies have only written down the first one. Today the title means a hands-on manager over a team of AI engineers. By 2027 it means a manager running several teams where the agents outnumber the humans. I have run 3,611 sessions with engineering leaders since 2019, and the question that changed most in the last year arrives near the end of a session: what does my job look like in twelve months? The four situations below are how that question shows up on a Tuesday. [Book the intro →](https://www.marian.coach/meet) **9.2/10** from 300 mentees who rated the work. [![Everpure logo](https://www.marian.coach/_astro/everpure-white.BeJmenjW_zeHkc.webp)](https://job-boards.greenhouse.io/purestorage/jobs/8023967) The title, live in Prague Everpure posted an [AI Engineering Manager role in Prague on 27 August 2026](https://job-boards.greenhouse.io/purestorage/jobs/8023967): a hands-on manager over AI engineers and data scientists, NLP and computer vision, in the office. That is the first meaning of the title. The situations below start there and end at the second. ## Four situations AI engineering managers bring me Composite situations. The patterns and the numbers are real and sourced; the people are not. Mentoring is confidential. ![Marian Kamenistak in a 1:1 mentoring session.](https://www.marian.coach/_astro/mentoring-01.BaBhsinu_Z1Ehb3c.webp) ### You lead five AI engineers and the CEO thinks you run the agents too The title on your contract says AI Engineering Manager. What it meant when you took it: a hands-on manager over a team of ML engineers and data scientists, shipping NLP and computer vision into a product. That is the job Everpure is hiring for in Prague right now, and it is a real one. Then the all-hands happened. Now every function head assumes you also own the coding agents in engineering, the chatbot in support, and the model the finance team started paying for last month. Three jobs, one salary, and a CEO who cannot tell the difference between them because nobody has drawn the line. So we draw it. On one page: what your team builds, what you advise on, what you refuse to own. You take it to your CTO before someone else's incident becomes your performance review. Usually two sessions to write it, one more to rehearse the conversation where you hand it over. Related reads - [What each management title owns](https://www.marian.coach/team-lead-role-vs-tech-lead-vs-engineering-manager/) - [Getting scope agreed with your own manager](https://www.marian.coach/blog/how-to-influence-my-manager/) - [Where your role stops and Head of Engineering starts](https://www.marian.coach/head-of-engineering-role/) ![Marian Kamenistak in a 1:1 mentoring session.](https://www.marian.coach/_astro/mentoring-02.BQRj2gmR_10nbng.webp) ### Half the code in your team is written by agents and your review queue is the bottleneck Throughput went up. Nobody argues with that. What went up faster is the pile of pull requests waiting on the three people you trust to read them properly, and one of those three is you. Anthropic's own study of its engineers puts the shift in one line: people now describe themselves as managers of AI agents and spend most of their day reviewing rather than writing. The consequence lands on the manager, because deciding what gets a deep review, what gets sampled, and what gets trusted is a risk call, and risk calls are your job, not the team's. We write the review standard for your team. Three tiers, named. Which changes get a human read line by line, which get sampled, which ship on tests alone. One number your director can defend upward: rework and revert rate on agent-written changes, tracked weekly. If it stays flat while volume climbs, the agents are paying for themselves. If it climbs, you are shipping faster and fixing more, and you find out in week three instead of at the incident review. By week 6 the standard exists as an RFC with your name on it. The queue is shorter because fewer things are waiting on you specifically. Related reads - [AI agents and the first-line EM](https://www.marian.coach/blog/ai-agents-first-line-engineering-manager/) - [The three criteria a leader is measured on](https://www.marian.coach/blog/3-performance-criteria-every-leader-needs/) - [The leadership toolkit your agent can call](https://www.marian.coach/blog/mcp-server-engineering-leadership/) ![Marian Kamenistak in a 1:1 mentoring session.](https://www.marian.coach/_astro/mentoring-03.80EmKxtE_WBn5T.webp) ### Six teams of eight are becoming three teams plus a fleet, and nobody has said which managers stay Google cut a third of the managers running teams under three people. Amazon raised its engineer-to-manager ratio by 15 percent and hit the target early. Meta's new applied AI unit runs one manager to fifty engineers. Your company is smaller than all of them and is reading the same memos. This is the 2027 version of the title, and it has no job postings yet. An AI engineering manager here runs three to five mostly agentic teams. The span in humans stays roughly where it was, around eight. What grows is the fleet under those humans, and the job moves from coordinating people to deciding what the fleet is allowed to do without you. The shape under pressure is the one most EMs hold today: one human team of six to nine, run the way it was run in 2022. Nobody calls a meeting to tell you that shape stopped being funded. The org chart is redrawn around the people who said which half they wanted. So you say it. We cost out both routes for you, in writing: wider across teams, or deeper into technical direction as a staff AI engineer with no reports. Then the conversation with your director, rehearsed, with one question in it. Over the next four quarters, is my scope going wider or deeper? Related reads - [The path from EM to VP, if wider is the answer](https://www.marian.coach/blog/engineering-manager-to-vp-of-engineering/) - [The Staff track, if deeper is the answer](https://www.marian.coach/what-a-staff-engineer-role-is-all-about/) - [What the roles above you own](https://www.marian.coach/vp-of-engineering-role-vs-cto/) ![Marian Kamenistak in a 1:1 mentoring session.](https://www.marian.coach/_astro/mentoring-04.DW02JUAo_J9dPP.webp) ### Finance asked why the AI bill doubled and you found out from the invoice Two of your engineers hit the usage cap on their coding assistant in the second week of the month. One upgraded to the top plan on a company card. The platform team routed a batch job through the expensive model because it was the default. None of that reached you until the finance director forwarded the invoice with a question mark. This is now a line in the engineering manager's job, whether the job description mentions it or not. The Pragmatic Engineer's 2026 survey of over 900 engineers describes EMs managing token budgets, usage caps, and justifying the cost trajectory to finance, next to the hiring plan. What we do is short. A budget per team, not per person. A default model routing you can explain. A monthly number you send finance before they ask. It takes one session and saves you the quarterly conversation that starts with why. Related reads - [Vetting a mentor who keeps up with the tooling](https://www.marian.coach/blog/how-to-find-an-ai-mentor/) - [What AI-forward teams changed in practice](https://www.marian.coach/blog/engineering-leaders-conference-elc-2025-recap/) ## The questions I hear most from AI Engineering Manager These are the exact asks from mentees in the last 12 months. Bring one to the intro call and we start there. - Which meaning of AI engineering manager does my company think it hired, and which one am I doing? - How do I set a review standard for agent-written code that the team accepts and my director can defend? - What does a healthy span look like when each engineer runs several agents? - How do I stay technical enough to lead an AI team without going back to being its best engineer? - Wider across teams or deeper into technical direction: how do I decide before the org decides for me? - How do I measure the team so the number survives a follow-up question from finance? - How do I hire and onboard juniors when the agents do the work juniors used to learn on? - Who owns an agent's mistake in production, and how do I write that down? - How do I run 1:1s with people whose output is mostly reviewed, not written? ## How mentoring with me works Free 30-min intro. Two KPIs to move in 3-6 months. Small homework after every session. The full method, step by step: [See how mentoring works →](https://www.marian.coach/#how-it-works) ## Frequently asked What is an AI engineering manager?+ Right now the title means two jobs. In job postings it means an engineering manager who leads a human team of AI engineers and data scientists, the way Everpure is hiring in Prague. The second meaning has no postings yet: a manager running three to five mostly agentic teams, where the human span stays about the same and a fleet of agents grows under it. This page covers both. Is AI engineering manager a promotion from engineering manager?+ Usually a widening, not a rung. Same level, more teams, and a different daily job: less coordinating people, more deciding what the agents are allowed to do without you. Where a company treats it as a rung, that is worth knowing early, and we find out in the first session. Do I have to code again to lead an AI team?+ You have to read code again. LeadDev's 2026 leadership report found hands-on managers went from 20 percent to 35 percent in one year. The manager who cannot review an agent's change has handed the risk decision to whoever can, and that person is now the real lead. Reading, not writing, is the bar. What does mentoring for an AI engineering manager cost?+ Public pricing. 395 EUR per session. A quarter is 6 sessions for 1,975 EUR, 5 paid and 1 free. Any session you rate under 7 out of 10 is not charged. Details on the [pricing page](https://www.marian.coach/pricing/). Will AI replace engineering managers?+ It is splitting the role rather than deleting it. The management work divides into the manager of several agentic teams and the staff AI engineer with no reports. The shape that gets questioned first in a budget round is the manager of one small human team, run the old way. ## Explore other roles - [Engineering Manager, Team Lead →](https://www.marian.coach/engineering-manager-mentor/) - [Senior or Staff Engineer →](https://www.marian.coach/staff-engineer-mentor/) - [Head of AI →](https://www.marian.coach/head-of-ai-mentor/) - [Chief AI Officer →](https://www.marian.coach/chief-ai-officer-coach/) - [CTO, VP Engineering, Head of Engineering →](https://www.marian.coach/cto-mentor/) ## Why me ![Marian Kamenistak, mentor for AI Engineering Manager](https://www.marian.coach/_astro/marian-about.BisGE32e_mbivh.webp) 9.17/10 average across 300+ mentees. 3,400+ mentoring sessions since 2019. - Been in the seat. Built Mews into a $2bn+ unicorn: 8 to 80 teams, roadmap still shipping. Led engineering at Manta before that, acquired by IBM. - CEE-native, US-fluent. 4+ years in the Bay Area as Principal Software Architect at Databricks. - Still highly technical. AI freak. Bullshit me on estimate, effort, code quality or architecture and I'll ask to see the code or your AI skill set. - Financially independent. I don't need your money. I'm financially retired. Seeing you grow is my payoff. - Direct. Mentoring first. I boost you fast. No esoteric loops. [The full story →](https://www.marian.coach/#about) The one discount, on every package ## 16 minutes. 10% off. One quarter lists at €1,975. Build the inquiry with my AI and the same six sessions come to €1,778 — €296 a session. No more than 16 minutes from the first question to a formal itemized offer in your inbox. [Get my offer →](https://www.marian.coach/mentoring-chat/) [or connect your own AI assistant](https://www.marian.coach/mentoring-ai/) ## Ready to start? Free 30-min intro. No pricing conversation on the first call. We figure out if we can move your specific problem forward. That is it. [Book the intro →](https://www.marian.coach/meet)Or email[marian@marian.coach](mailto:marian@marian.coach) ## From the blog [All posts →](https://www.marian.coach/blog/) - [![Marian Kamenistak presenting at the Engineering Leaders Conference, client logo wall projected behind him.](https://www.marian.coach/_astro/elc-conference-83.C-jfqKbZ_bLDO1.webp) ### AI Engineering Manager: The 2027 Career Fork The engineering manager job is splitting in two by 2027: AI engineering manager, or staff AI engineer. The dead zone is the shape most EMs hold today. 4 September 2026 · By Marian Read → ](https://www.marian.coach/blog/ai-engineering-manager-2027/) - [![Marian Kamenistak facilitating a workshop, mid-gesture, in front of a slide about roadmap delivery.](https://www.marian.coach/_astro/talk-16.BOCFjZmx_2dJH3d.webp) ### AI Agents Don't Shrink Engineering Teams. They Expose Weak Managers. What AI coding agents change about the first-line engineering manager job: not headcount first, but feedback loops, spans, and what the role is for. 21 July 2026 · By Marian Read → ](https://www.marian.coach/blog/ai-agents-first-line-engineering-manager/) - [![Should You Take the VP of Engineering Job?](https://www.marian.coach/images/blog/engineering-director-to-vp-engineering/infographic.webp) ### Should You Take the VP of Engineering Job? 44 engineering directors have brought me this decision. 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